Author: "Wu Yao" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

127 results on '"Wu Yao"'

1. Consumer resource integration and service innovation in social commerce: the role of social media influencers

Author: Wu, Yao, Nambisan, Satish, Xiao, Jinghua, and Xie, Kang
Subjects: Celebrities -- Influence, Customer relationship management -- Research, Commerce -- Social aspects, Social media -- Usage -- Personalities, Marketing research, Customer relationship management, Advertising, marketing and public relations, Business
Abstract: Social media technologies have given rise to influencers who shape the purchasing behaviors of their followers (peer consumers), thus enabling consumer-initiated social commerce. However, few studies have explored how social media influencers, and more broadly, consumers, actively integrate resources to engage in service innovation in social commerce. This qualitative study (involving two firms and their influencers) examines the emerging roles of social media influencers and their resource integration behaviors in service innovation. Drawing on the service-dominant logic and the technology affordance theory, the study advances a framework that identifies the resource integration behaviors that underlie two primary roles of influencers-communicator and innovator-and explains how social media technology affordances facilitate these behaviors, and thereby, the ensuing innovation outcomes. By focusing on the technology-mediated processes of social media influencers' engagement in service innovation, we contribute to research and practice in consumer-led service innovation in the emerging digital world., Author(s): Yao Wu [sup.1] , Satish Nambisan [sup.2] , Jinghua Xiao [sup.1] , Kang Xie [sup.1] Author Affiliations: (1) grid.12981.33, 0000 0001 2360 039X, School of Business, Sun Yat-sen University, [...]
Published: 2022
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2. Efficacy and Safety of Xue-Fu-Zhu-Yu Decoction for Patients with Coronary Heart Disease: A Systematic Review and Meta-Analysis

Author: Jin-Long Duan, Yuping Tang, Zhen-Lin Chen, Kui-Wu Yao, and Shuo Zhang
Subjects: medicine.medical_specialty, business.industry, Blood viscosity, Xue-Fu-Zhu-Yu decoction, Review Article, medicine.disease, Coronary heart disease, law.invention, Angina, Other systems of medicine, Complementary and alternative medicine, Randomized controlled trial, law, Meta-analysis, Internal medicine, medicine, Endothelial dysfunction, business, RZ201-999, Dyslipidemia
Abstract: Objective. To systematically evaluate the efficacy and safety of XFZYD for coronary heart disease (CHD). Methods. A comprehensive literature search of randomized controlled trials using XFZYD for CHD was conducted in 10 electronic databases from their establishment to December 20, 2020. The researchers screened the relevant trials in NoteExpress, extracted the data in duplicate independently, assessed the risk of bias in the trials using the Cochrane collaboration tool, and then used Rev Man 5.3 for data analysis. Results. 30 trials with 3126 participants were included for meta-analysis. The results showed that the clinical effects of XFZYD and its combination with chemical drugs (CD) were 1.13 (RR; 1.13; 95% CI, 1.03 to 1.24) and 1.26 (RR; 1.26; 95% CI, 1.20 to 1.32) times those of CD, respectively. And, it could also improve electrocardiogram effect, which was 1.63 (RR; 1.63; 95% CI, 1.04 to 2.53) times that of CD. XFZYD could not only decrease duration of angina pectoris and improve vascular endothelial function but also obviously reduce the TCM syndrome score. When used in combination with CD, it could also lower AF, correct the dyslipidemia, and reduce the blood viscosity. Conclusion. These results demonstrated that XFZYD had great advantages in treating CHD with no obvious adverse reactions. Therefore, it is believed that XFZYD is more suitable for CHD patients with clinical indicators of dyslipidemia, high blood viscosity, or vascular endothelial dysfunction. This study is the first systematic review and meta-analysis with some unique ways, including its comprehensiveness, large-scale search, the novelty of findings, and transparent approach.
Published: 2021

3. Keyword Search on Large Graphs: A Survey

Author: Jianye Yang, Wenjie Zhang, and Wu Yao
Subjects: Information retrieval, business.product_category, Notice, Cover (telecommunications), Keyword search, Computer science, Computational Mechanics, Semantics, Tree (graph theory), Computer Science Applications, Task (project management), Set (abstract data type), Internet access, business
Abstract: With the prevalence of Internet access and online services, various big graphs are generated in many real applications (e.g., online social networks and knowledge graphs). An important task on analyzing and mining these graphs is keyword search. Essentially, given a graphGand queryQassociated with a set of keywords, the keyword search aims to find a substructure (e.g., rooted tree or subgraph)SinGsuch that nodes inScollectively cover part of or all keywords inQ, and in the meanwhile,Sis optimal on some user specified semantics. Keyword search on graphs can be applied in many real-life applications, such as point-of-interests recommendation and web search facility. In spite of the great importance of graph keyword search, we, however, notice that the latest survey on this topic is far out of date. Consequently, there is prompt need to conduct a comprehensive survey in this research direction. Motivated by this, in this survey, we systematically review graph keyword search studies by classifying the existing works into different categories according to the specific problem definition. This survey aims to provide the researchers a comprehensive understanding of existing graph keyword search solutions.
Published: 2021

4. Late-life depression and the risk of dementia in 14 countries: a 10-year follow-up study from the Survey of Health, Ageing and Retirement in Europe

Author: Jia-Jia Wu, Jin-Jing Pei, Wu Yao, Zhen Yan, and Hui-Xin Wang
Subjects: Gerontology, Aging, medicine.medical_specialty, Psychological intervention, 03 medical and health sciences, 0302 clinical medicine, mental disorders, medicine, Humans, Dementia, Information bias, Child, Aged, Survey of Health, Ageing and Retirement in Europe, Geriatrics, Retirement, Depression, 10 year follow up, business.industry, Middle Aged, Late life depression, medicine.disease, Mental health, 3. Good health, 030227 psychiatry, Europe, Psychiatry and Mental health, Clinical Psychology, business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Background Depression is the most common mental health problem and often co-occurs with dementia in old age. This study investigates the influence of late-life depression on risk of dementia. Methods A total of 16210 dementia-free participants aged 60+ from the Survey of Health, Aging, and Retirement in Europe were followed up for 10 years to detect incident dementia. Depression was assessed by a 12-item Europe-depression scale, dementia was determined by physician diagnosis reported by the participants and their informants. Fine and Gray model was performed to explore the association between depression and incident dementia taking into account competing risk of death. Results During an average of 8 years follow-up, 1030 (6.35%) incident dementia were identified. Late-life depression was related to higher subdistribution hazard ratio (sHR) of dementia (sHR=1.52, 95%CI: 1.32-1.75) after adjusting for age, gender, country, education, smoking, drinking, living arrangement, BMI, chronic disease, and physical activity. Further, the risk was only existed in those below age of 80 (sHR=1.75, 95%CI: 1.47-2.07). In addition, a dose-response association was observed between the severity of depression and dementia risk (p for trend Limitation The ascertainment of depression and dementia was based on information reported by the participants and/or their informants, which might result in information bias. The causal relationship could not be determined because limited follow-up time. Conclusions Late-life depression is associated with higher incidence of dementia in a dose-response fashion. Interventions targeting depression patients aged 60-79 years and those with severe depression may be effective strategies to prevent dementia.
Published: 2020

5. Online state‐of‐health prediction of lithium‐ion batteries with limited labeled data

Author: Jie Yang, Jing Dai, Jinsong Yu, Wu Yao, and Diyin Tang
Subjects: Renewable Energy, Sustainability and the Environment, Computer science, State of health, business.industry, Energy Engineering and Power Technology, chemistry.chemical_element, Semi-supervised learning, Machine learning, computer.software_genre, Ion, Support vector machine, Fuel Technology, Nuclear Energy and Engineering, chemistry, Oversampling, Labeled data, Lithium, Artificial intelligence, business, computer
Published: 2020

6. Impact of effort reward imbalance at work on suicidal ideation in ten European countries: The role of depressive symptoms

Author: Lai-Bao Zhuo, Maria Stella T. Giron, Hui-Xin Wang, Wu Yao, Zhen Yan, and Jing-Jing Pei
Subjects: Adult, Employment, Male, Suicidal Ideation, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Reward, Surveys and Questionnaires, medicine, Humans, Child, Unmeasured confounding, Suicidal ideation, Depressive symptoms, Depression, business.industry, Proportional hazards model, Incidence, Incidence (epidemiology), Confounding, Middle Aged, 030227 psychiatry, Effort reward imbalance, Europe, Psychiatry and Mental health, Clinical Psychology, Household income, Female, medicine.symptom, business, 030217 neurology & neurosurgery, Clinical psychology
Abstract: Background Evidence of the association between effort reward imbalance (ERI) and suicidal ideation is sparse. This study examined the influence of ERI at work on suicidal ideation and the mediating effect of depressive symptoms. Methods There were 4963 workers aged 50+ without suicidal ideation at baseline in the Survey of Health, Aging and Retirement in Europe, these workers were followed-up for 8-years to detect incident suicidal ideation. ERI was measured by a short ERI questionnaire. Suicidal ideation was evaluated by one item derived from the 12-item Europe-depression scale, and depressive symptoms were assessed by the remaining 11 items in the scale. Cox models were employed to explore the relationship adjusting for potential confounders. Mediation analysis was used to test the mediating effect of depressive symptoms. Results A significantly higher incidence of suicidal ideation was related with high effort (HR = 1.51) and low reward (HR = 1.42), respectively. A high effort–low reward imbalance was associated with even higher risk of suicidal ideation (HR = 1.96) as compared to low effort-high reward combination. The association was varied by gender, region, education and household income. Depressive symptoms mediated a modest proportion (natural indirect effect 14.4%) of the total association between ERI and suicidal ideation. Limitation Suicidal ideation definition based on self-administered questionnaires which could lead to false negatives. And some unmeasured confounders might have biased the results. Conclusions Efforts in promoting balanced effort–reward at work may reduce suicidal ideation among working population aged 50+. Avoiding depressive symptoms may further enhance such efforts.
Published: 2020

7. Telomere length in workers was effected by omethoate exposure and interaction between smoking and p21 polymorphisms

Author: Wu Yao, Tuanwei Wang, Lei Li, Yongli Yang, Lixia Tang, Guoyu Li, Xiaolei Feng, Xinhua Niu, Pengpeng Wang, Xiaoran Duan, Junling Liu, Bin Liu, Mingcui Ding, Yuhong Zhang, Suxiang Liu, and Wei Wang
Subjects: 0301 basic medicine, business.industry, DNA damage, General Medicine, Bioinformatics, Pollution, Telomere, 03 medical and health sciences, chemistry.chemical_compound, 030104 developmental biology, 0302 clinical medicine, chemistry, Health hazard, 030220 oncology & carcinogenesis, Medicine, Omethoate, business, Organophosphorus pesticides, Food Science
Abstract: Omethoate is an organophosphorus pesticide that poses a major health hazard, especially DNA damage. The purpose of this study was to investigate the factors affecting telomere length in wor...
Published: 2019

8. Erbium YAG laser and diode laser applications for the second phase of implant surgery: a comparison of clinical outcomes

Author: Jiang-Wu Yao, Xian Tao, Zhi-Qiang Xu, Hom-Lay Wang, and Junying Li
Subjects: business.industry, Phase (waves), chemistry.chemical_element, Erbium-YAG laser, Stage ii, Laser, Implant surgery, law.invention, Erbium, chemistry, law, Medicine, Implant, business, Nuclear medicine, Diode
Abstract: This study assessed the clinic outcomes of erbium: yttrium/aluminum/garnet (Er:YAG) laser and diode laser use in second phase of implant surgery. Fifty implants scheduled for stage II implant surgery were randomly assigned to 4 groups. In the first group (G1), Lite-touch Er:YAG laser was selected, and a vacuum-formed template was used for each site to indicate surgical entrance. For the second group (G2), Lite-touch Er:YAG laser was used and the surgery was performed in a free-hand way. The third group (G3) adopted free-hand surgery while diode laser was used. In the last group (G4), LightWalker Er:YAG laser was applied by free hand. The surgeon was allowed to look at cross-sectional images and 3D reconstruction in the computer to obtain implant position in G2, G3, and G4. The time of operation, healing time, and accuracy of operation were assessed. G1 and G4 took the shortest time in surgery than that of the other two groups (P 0.05). The healing time of Lite-touch Er:YAG laser with or without surgical guide was the shortest when compared with the other two groups (P
Published: 2019

9. Diagnostic Value of Plasma MicroRNAs for Lung Cancer Using Support Vector Machine Model

Author: Xiaoran Duan, Qingfeng Jiang, Songcheng Yu, Pengpeng Wang, Yongjun Wu, Liuxin Cui, Mingcui Ding, Zhe Cheng, Yongli Yang, Feifei Feng, Wenjuan Zhang, Xiaolei Feng, Wei Wang, and Wu Yao
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, Support vector machine, Chest pain, medicine.disease_cause, Plasma miRNAs, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Diagnosis, microRNA, Epidemiology, medicine, Lung cancer, Lung, business.industry, medicine.disease, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Smoking status, medicine.symptom, Carcinogenesis, business, Research Paper
Abstract: Aim: Small single-stranded non-coding RNAs (miRNAs) play an important role in carcinogenesis through degrading target mRNAs. However, the diagnostic value of miRNAs was not explored in lung cancers. In this study, a support-vector-machine (SVM) model for diagnosis of lung cancer was established based on plasma miRNAs biomarkers, clinical symptoms and epidemiology material. Methods: The expressions of plasma miRNA were examined with SYBR Green-based quantitative real-time PCR. Results: We identified that the expressions of 10 plasma miRNAs (miR-21, miR-20a, miR-210, miR-145, miR-126, miR-223, miR-197, miR-30a, miR-30d, miR-25), smoking status, fever, cough, chest pain or tightness, bloody phlegm, haemoptysis, were significantly different between lung cancer and control groups (P
Published: 2019

10. Dehydrocostus lactone inhibits in vitro gastrinoma cancer cell growth through apoptosis induction, sub-G1 cell cycle arrest, DNA damage and loss of mitochondrial membrane potential

Author: Jun-wei Feng, Zhen-bin Zhang, Hou-yong Long, Yong-yang Yu, Zeng-wu Yao, Hong-bing Chen, and Qing-xian Huang
Subjects: Cell cycle checkpoint, business.industry, lcsh:R, apoptosis, lcsh:Medicine, General Medicine, Cell cycle, pancreatic neuroendocrine tumor, Molecular biology, Cell cycle phase, 03 medical and health sciences, Basic Research, 0302 clinical medicine, dehydrocostus lactone, Annexin, Apoptosis, Cancer cell, Medicine, cell cycle, 030212 general & internal medicine, Viability assay, business, G1 phase
Abstract: Introduction The purpose of the present study was to evaluate the antiproliferative activity of dehydrocostus lactone against human BON-1 cancer cell lines and to explore the possible underlying mechanism. Material and methods MTT cell viability assay was used to determine cytotoxic effects of dehydrocostus lactone in BON-1 cells. Fluorescence and transmission electron microscopic (TEM) techniques were used to study the effect of the compound on cellular morphology and apoptosis. Flow cytometry was used to assess the effect on cell cycle phase distribution. Effects of the drug on cell apoptosis and mitochondrial membrane potential were analyzed by flow cytometry using annexin v and rhodamine-123 as fluorescent probes. Results The results of the present study indicated that dehydrocostus lactone significantly (p < 0.01) inhibited the growth of BON-1 cancer cells. These growth inhibitory effects of dehydrocostus lactone on BON-1 were found to be time and concentration-dependent. The IC50 of dehydrocostus lactone were found to be 71.9 μM and 52.3 μM at 24 and 48 h time intervals respectively. The growth inhibitory effects of dehydrocostus lactone were found to be due to loss of mitochondrial membrane potential, the induction of apoptosis and sub-G1 cell cycle arrest. Conclusions Dehydrocostus inhibits in vitro gastrinoma cancer cell growth and therefore may prove beneficial in the management of gastrinoma cancer.
Published: 2019

11. Effects of Bushen-Jiangya granules on blood pressure and pharmacogenomic evaluation in low-to-medium risk hypertension: study protocol for a randomized double-blind controlled trial

Author: Yun Zhang, Yongmei Liu, xiaochen Yang, Hongzheng Li, Kui-Wu Yao, Xingjiang Xiong, and Jie Wang
Subjects: Protocol (science), Double blind, medicine.medical_specialty, Blood pressure, Randomized controlled trial, business.industry, law, Internal medicine, Medicine, Medium Risk, business, law.invention
Abstract: IntroductionHypertension is one of the most important risk factors for cardiovascular disease, and its treatment and control rates are still low worldwide. The most effective strategy is that patients with hypertension should be diagnosed and treated early. Preliminary studies showed that the Bushen Jiangya granule (BSJY) may suppress ventricular hypertrophy and inflammatory responses, lower blood pressure and protect the target organs of hypertension. We designed a randomized, double-blind, placebo-controlled trial to evaluate the efficacy of BSJY in patients with low-to-medium risk hypertension.Methods and analysisThis trial is a one-center, randomized, double-blind, placebo-controlled study. A total of 260 participants will be randomized in a 1:1 ratio to an experiment group (BSJY plus amlodipine) and a control group (placebo plus amlodipine). The trial cycle will last 8 weeks. The primary outcome is blood pressure, which is reduced to a threshold set out in Guiding Principles for Clinical Research of New Chinese Medicines. The secondary outcomes include the change in 24-h average systolic and diastolic blood pressure, heart rate variability, pharmacogenomic Evaluation, improvement in TCM Syndrome, serum pro-inflammatory/anti-inflammatory cytokines, etc. between the two groups. Safety in medication will also be evaluated. All the data will be recorded in electronic case report forms and analyzed by SPSS V.22.0.Ethics and dissemination This study has been approved by Research Ethics Committee of Guang’anmen Hospital,China Academy of Chinese Medical Sciences in Beijing, China (No. 2019-186-KY-01). The participants are volunteers, understand the process of this trial and sign an informed consent. The results of this study will be disseminated to the public through peer-reviewed journals and academic conferences. DiscussionWe hypothesize that patients with low-to-medium risk hypertension will benefit from BSJY. If successful, this study will provide evidence-based recommendations for clinicians.
Published: 2021

12. The relationship between chronic diseases and depression in middle-aged and older adults: A 4-year follow-up study from the China Health and Retirement Longitudinal Study

Author: Jin-Jing Pei, Hui-Xin Wang, Chang-Fu Hao, Yu-Han Bi, and Wu Yao
Subjects: Adult, medicine.medical_specialty, Longitudinal study, China, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Diabetes mellitus, Epidemiology, Medicine, Humans, Longitudinal Studies, Information bias, Socioeconomic status, Depression (differential diagnoses), Aged, Proportional Hazards Models, Retirement, business.industry, Proportional hazards model, Depression, Middle Aged, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Clinical Psychology, Chronic Disease, Quality of Life, business, 030217 neurology & neurosurgery, Rheumatism, Follow-Up Studies
Abstract: Evidence of the association between common chronic diseases and depression is sparse.Totally 7819 participants aged 45+ without depression at baseline were followed-up (2011-2015) to detect incident depression. Chronic diseases and depression were defined by self-reported diagnosis and the Center for Epidemiological Studies Depression Scale (CES-D10), respectively. Cox proportional hazards model was used to explore the association between chronic diseases and depression adjusting for age, gender, education, marital/living conditions, area, smoking, drinking, economic status, BMI and health insurance.During an average of 3.42 years follow-up, 2271 participants developed depression (85 per 1000 person-year). Chronic diseases were related to significantly higher risk of depression (HR = 1.38). A higher risk of depression was also associated with specific diseases: stomach/other digestive diseases (HR = 1.19), diabetes (HR = 1.22), arthritis/rheumatism (HR = 1.30), and kidney diseases (HR = 1.34) (P0.05). The risk of depression increased with increasing in the number of chronic diseases (1: HR = 1.27, 2: HR = 1.49, and 3+: HR = 1.51, P-trend0.001). No significant difference was observed across age, gender, education, and area.Chronic diseases and depression were based on self-reported diagnosis and measurement scale, respectively, which could lead to information bias. Some unmeasured confounders might have biased the results.The occurrence of depression in people aged 45+ is associated with number of chronic diseases in a dose-response fashion. These results may provide guidance on preventing depression and improving the quality of life in middle and late adulthood.
Published: 2021

13. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

Author: Klionsky, Daniel, Abdel-Aziz, Amal Kamal, Abdelfatah, Sara, Abdellatif, Mahmoud, Abdoli, Asghar, Abel, Steffen, Abeliovich, Hagai, Abildgaard, Marie, Abudu, Yakubu Princely, Acevedo-Arozena, Abraham, Adamopoulos, Iannis, Adeli, Khosrow, Adolph, Timon, Adornetto, Annagrazia, Aflaki, Elma, Agam, Galila, Agarwal, Anupam, Aggarwal, Bharat, Agnello, Maria, Agostinis, Patrizia, Agrewala, Javed, Agrotis, Alexander, Aguilar, Patricia, Ahmad, S Tariq, Ahmed, Zubair, Ahumada-Castro, Ulises, Aits, Sonja, Aizawa, Shu, Akkoc, Yunus, Akoumianaki, Tonia, Akpinar, Hafize Aysin, Al-Abd, Ahmed, Al-Akra, Lina, Al-Gharaibeh, Abeer, Alaoui-Jamali, Moulay, Alberti, Simon, Alcocer-Gómez, Elísabet, Alessandri, Cristiano, Ali, Muhammad, Alim Al-Bari, M Abdul, Aliwaini, Saeb, Alizadeh, Javad, Almacellas, Eugènia, Almasan, Alexandru, Alonso, Alicia, Alonso, Guillermo, Altan-Bonnet, Nihal, Altieri, Dario, Álvarez, Élida, Alves, Sara, Alves Da Costa, Cristine, Alzaharna, Mazen, Amadio, Marialaura, Amantini, Consuelo, Amaral, Cristina, Ambrosio, Susanna, Amer, Amal, Ammanathan, Veena, An, Zhenyi, Andersen, Stig, Andrabi, Shaida, Andrade-Silva, Magaiver, Andres, Allen, Angelini, Sabrina, Ann, David, Anozie, Uche, Ansari, Mohammad, Antas, Pedro, Antebi, Adam, Antón, Zuriñe, Anwar, Tahira, Apetoh, Lionel, Apostolova, Nadezda, Araki, Toshiyuki, Araki, Yasuhiro, Arasaki, Kohei, Araújo, Wagner, Araya, Jun, Arden, Catherine, Arévalo, Maria-Angeles, Arguelles, Sandro, Arias, Esperanza, Arikkath, Jyothi, Arimoto, Hirokazu, Ariosa, Aileen, Armstrong-James, Darius, Arnauné-Pelloquin, Laetitia, Aroca, Angeles, Arroyo, Daniela, Arsov, Ivica, Artero, Rubén, Asaro, Dalia Maria Lucia, Aschner, Michael, Ashrafizadeh, Milad, Ashur-Fabian, Osnat, Atanasov, Atanas, Au, Alicia, Auberger, Patrick, Auner, Holger, Aurelian, Laure, Autelli, Riccardo, Avagliano, Laura, Ávalos, Yenniffer, Aveic, Sanja, Aveleira, Célia Alexandra, Avin-Wittenberg, Tamar, Aydin, Yucel, Ayton, Scott, Ayyadevara, Srinivas, Azzopardi, Maria, Baba, Misuzu, Backer, Jonathan, Backues, Steven, Bae, Dong-Hun, Bae, Ok-Nam, Bae, Soo Han, Baehrecke, Eric, Baek, Ahruem, Baek, Seung-Hoon, Baek, Sung Hee, Bagetta, Giacinto, Bagniewska-Zadworna, Agnieszka, Bai, Hua, Bai, Jie, Bai, Xiyuan, Bai, Yidong, Bairagi, Nandadulal, Baksi, Shounak, Balbi, Teresa, Baldari, Cosima, Balduini, Walter, Ballabio, Andrea, Ballester, Maria, Balazadeh, Salma, Balzan, Rena, Bandopadhyay, Rina, Banerjee, Sreeparna, Banerjee, Sulagna, Bánréti, Ágnes, Bao, Yan, Baptista, Mauricio, Baracca, Alessandra, Barbati, Cristiana, Bargiela, Ariadna, Barilà, Daniela, Barlow, Peter, Barmada, Sami, Barreiro, Esther, Barreto, George, Bartek, Jiri, Bartel, Bonnie, Bartolome, Alberto, Barve, Gaurav, Basagoudanavar, Suresh, Bassham, Diane, Bast, Robert, Basu, Alakananda, Batoko, Henri, Batten, Isabella, Baulieu, Etienne, Baumgarner, Bradley, Bayry, Jagadeesh, Beale, Rupert, Beau, Isabelle, Beaumatin, Florian, Bechara, Luiz, Beck, George, Beers, Michael, Begun, Jakob, Behrends, Christian, Behrens, Georg, Bei, Roberto, Bejarano, Eloy, Bel, Shai, Behl, Christian, Belaid, Amine, Belgareh-Touzé, Naïma, Bellarosa, Cristina, Belleudi, Francesca, Belló Pérez, Melissa, Bello-Morales, Raquel, Beltran, Jackeline Soares de Oliveira, Beltran, Sebastián, Benbrook, Doris Mangiaracina, Bendorius, Mykolas, Benitez, Bruno, Benito-Cuesta, Irene, Bensalem, Julien, Berchtold, Martin, Berezowska, Sabina, Bergamaschi, Daniele, Bergami, Matteo, Bergmann, Andreas, Berliocchi, Laura, Berlioz-Torrent, Clarisse, Bernard, Amélie, Berthoux, Lionel, Besirli, Cagri, Besteiro, Sebastien, Betin, Virginie, Beyaert, Rudi, Bezbradica, Jelena, Bhaskar, Kiran, Bhatia-Kissova, Ingrid, Bhattacharya, Resham, Bhattacharya, Sujoy, Bhattacharyya, Shalmoli, Bhuiyan, Md Shenuarin, Bhutia, Sujit Kumar, Bi, Lanrong, Bi, Xiaolin, Biden, Trevor, Bijian, Krikor, Billes, Viktor, Binart, Nadine, Bincoletto, Claudia, Birgisdottir, Asa, Bjorkoy, Geir, Blanco, Gonzalo, Blas-Garcia, Ana, Blasiak, Janusz, Blomgran, Robert, Blomgren, Klas, Blum, Janice, Boada-Romero, Emilio, Boban, Mirta, Boesze-Battaglia, Kathleen, Boeuf, Philippe, Boland, Barry, Bomont, Pascale, Bonaldo, Paolo, Bonam, Srinivasa Reddy, Bonfili, Laura, Bonifacino, Juan, Boone, Brian, Bootman, Martin, Bordi, Matteo, Borner, Christoph, Bornhauser, Beat, Borthakur, Gautam, Bosch, Jürgen, Bose, Santanu, botana, luis, Botas, Juan, Boulanger, Chantal, Boulton, Michael, Bourdenx, Mathieu, Bourgeois, Benjamin, Bourke, Nollaig, Bousquet, Guilhem, Boya, Patricia, Bozhkov, Peter, Bozi, Luiz, Bozkurt, Tolga, Brackney, Doug, Brandts, Christian, Braun, Ralf, Braus, Gerhard, Bravo-Sagua, Roberto, Bravo-San Pedro, José, Brest, Patrick, Bringer, Marie-Agnès, Briones-Herrera, Alfredo, Broaddus, V Courtney, Brodersen, Peter, Brodsky, Jeffrey, Brody, Steven, Bronson, Paola, Bronstein, Jeff, Brown, Carolyn, Brown, Rhoderick, Brum, Patricia, Brumell, John, Brunetti-Pierri, Nicola, Bruno, Daniele, Bryson-Richardson, Robert, Bucci, Cecilia, Buchrieser, Carmen, Bueno, Marta, Buitrago-Molina, Laura Elisa, Buraschi, Simone, Buch, Shilpa, Buchan, J Ross, Buckingham, Erin, Budak, Hikmet, Budini, Mauricio, Bultynck, Geert, Burada, Florin, Burgoyne, Joseph, Burón, M Isabel, Bustos, Victor, Büttner, Sabrina, Butturini, Elena, Byrd, Aaron, Cabas, Isabel, Cabrera-Benitez, Sandra, Cadwell, Ken, Cai, Jingjing, Cai, Lu, Cai, Qian, Cairó, Montserrat, Calbet, Jose, Caldwell, Guy, Caldwell, Kim, Call, Jarrod, Calvani, Riccardo, Calvo, Ana, Calvo-Rubio Barrera, Miguel, Camara, Niels OS, Camonis, Jacques, Camougrand, Nadine, Campanella, Michelangelo, Campbell, Edward, Campbell-Valois, François-Xavier, Campello, Silvia, Campesi, Ilaria, Campos, Juliane, Camuzard, Olivier, Cancino, Jorge, Candido de Almeida, Danilo, Canesi, Laura, Caniggia, Isabella, Canonico, Barbara, Cantí, Carles, Cao, Bin, Caraglia, Michele, Caramés, Beatriz, Carchman, Evie, Cardenal-Muñoz, Elena, Cardenas, Cesar, Cardenas, Luis, Cardoso, Sandra, Carew, Jennifer, Carle, Georges, Carleton, Gillian, Carloni, Silvia, Carmona-Gutierrez, Didac, Carneiro, Leticia, Carnevali, Oliana, Carosi, Julian, Carra, Serena, Carrier, Alice, Carrier, Lucie, Carroll, Bernadette, Carter, A Brent, Carvalho, Andreia Neves, Casanova, Magali, Casas, Caty, Casas, Josefina, Cassioli, Chiara, Castillo, Eliseo, Castillo, Karen, Castillo-Lluva, Sonia, Castoldi, Francesca, Castori, Marco, Castro, Ariel, Castro-Caldas, Margarida, Castro-Hernandez, Javier, Castro-Obregon, Susana, Catz, Sergio, Cavadas, Claudia, Cavaliere, Federica, Cavallini, Gabriella, Cavinato, Maria, Cayuela, Maria, Cebollada Rica, Paula, Cecarini, Valentina, Cecconi, Francesco, Cechowska-Pasko, Marzanna, Cenci, Simone, Ceperuelo-Mallafré, Victòria, Cerqueira, João, Cerutti, Janete, Cervia, Davide, Cetintas, Vildan Bozok, Cetrullo, Silvia, Chae, Han-Jung, Chagin, Andrei, Chai, Chee-Yin, Chakrabarti, Gopal, Chakrabarti, Oishee, Chakraborty, Tapas, Chakraborty, Trinad, Chami, mounia, Chamilos, Georgios, Chan, David, Chan, Edmond, Chan, Edward, Chan, H.Y. Edwin, Chan, Helen, Chan, Hung, Chan, Matthew, Chan, Yau Sang, Chandra, Partha, Chang, Chih-Peng, Chang, Chunmei, Chang, Hao-Chun, Chang, Kai, Chao, Jie, Chapman, Tracey, Charlet-Berguerand, Nicolas, Chatterjee, Samrat, Chaube, Shail, Chaudhary, Anu, Chauhan, Santosh, Chaum, Edward, Checler, Frédéric, Cheetham, Michael, Chen, Chang-Shi, Chen, Guang-Chao, Chen, Jian-Fu, Chen, Liam, Chen, Leilei, Chen, Lin, Chen, Mingliang, Chen, Mu-Kuan, Chen, Ning, Chen, Quan, Chen, Ruey-Hwa, Chen, Shi, Chen, Wei, Chen, Weiqiang, Chen, Xin-Ming, Chen, Xiong-Wen, Chen, Xu, Chen, Yan, Chen, Ye-Guang, Chen, Yingyu, Chen, Yongqiang, Chen, Yu-Jen, Chen, Yue-Qin, Chen, Zhefan Stephen, Chen, Zhi, Chen, Zhi-Hua, Chen, Zhijian, Chen, Zhixiang, Cheng, Hanhua, Cheng, Jun, Cheng, Shi-Yuan, Cheng, Wei, Cheng, Xiaodong, Cheng, Xiu-Tang, Cheng, Yiyun, Cheng, Zhiyong, Chen, Zhong, Cheong, Heesun, Cheong, Jit Kong, Chernyak, Boris, Cherry, Sara, Cheung, Chi Fai Randy, Cheung, Chun Hei Antonio, Cheung, King-Ho, Chevet, Eric, Chi, Richard, Chiang, Alan Kwok Shing, Chiaradonna, Ferdinando, Chiarelli, Roberto, Chiariello, Mario, Chica, Nathalia, Chiocca, Susanna, Chiong, Mario, Chiou, Shih-Hwa, Chiramel, Abhilash, Chiurchiù, Valerio, Cho, Dong-Hyung, Choe, Seong-Kyu, Choi, Augustine, Choi, Mary, Choudhury, Kamalika Roy, Chow, Norman, Chu, Charleen, Chua, Jason, Chua, John Jia En, Chung, Hyewon, Chung, Kin Pan, Chung, Seockhoon, Chung, So-Hyang, Chung, Yuen-Li, Cianfanelli, Valentina, Ciechomska, Iwona, Cifuentes, Mariana, Cinque, Laura, Cirak, Sebahattin, Cirone, Mara, Clague, Michael, Clarke, Robert, Clementi, Emilio, Coccia, Eliana, Codogno, Patrice, Cohen, Ehud, Cohen, Mickael, Colasanti, Tania, Colasuonno, Fiorella, Colbert, Robert, Colell, Anna, Čolić, Miodrag, Coll, Nuria, Collins, Mark, Colombo, María, Colón-Ramos, Daniel, Combaret, Lydie, Comincini, Sergio, Cominetti, Márcia, Consiglio, Antonella, Conte, Andrea, Conti, Fabrizio, Contu, Viorica Raluca, Cookson, Mark, Coombs, Kevin, Coppens, Isabelle, Corasaniti, Maria Tiziana, Corkery, Dale, Cordes, Nils, Cortese, Katia, Costa, Maria do Carmo, Costantino, Sarah, Costelli, Paola, Coto-Montes, Ana, Crack, Peter, Crespo, Jose, Criollo, Alfredo, Crippa, Valeria, Cristofani, Riccardo, Csizmadia, Tamas, Cuadrado, Antonio, Cui, Bing, Cui, Jun, Cui, Yixian, Cui, Yong, Culetto, Emmanuel, Cumino, Andrea, Cybulsky, Andrey, Czaja, Mark, Czuczwar, Stanislaw, D'Adamo, Stefania, D'Amelio, Marcello, D'Arcangelo, Daniela, D'Lugos, Andrew, D'Orazi, Gabriella, da Silva, James, Dafsari, Hormos Salimi, Dagda, Ruben, Dagdas, Yasin, Daglia, Maria, Dai, Xiaoxia, Dai, Yun, Dai, Yuyuan, Dal Col, Jessica, Dalhaimer, Paul, Dalla Valle, Luisa, Dallenga, Tobias, Dalmasso, Guillaume, Damme, Markus, Dando, Ilaria, Dantuma, Nico, Darling, April, Das, Hiranmoy, Dasarathy, Srinivasan, Dasari, Santosh, Dash, Srikanta, Daumke, Oliver, Dauphinee, Adrian, Davies, Jeffrey, Dávila, Valeria, Davis, Roger, Davis, Tanja, Dayalan Naidu, Sharadha, De Amicis, Francesca, De Bosscher, Karolien, De Felice, Francesca, De Franceschi, Lucia, De Leonibus, Chiara, de Mattos Barbosa, Mayara, De Meyer, Guido, De Milito, Angelo, De Nunzio, Cosimo, De Palma, Clara, De Santi, Mauro, De Virgilio, Claudio, De Zio, Daniela, Debnath, Jayanta, DeBosch, Brian, Decuypere, Jean-Paul, Deehan, Mark, Deflorian, Gianluca, DeGregori, James, Dehay, Benjamin, Del Rio, Gabriel, Delaney, Joe, Delbridge, Lea, Delorme-Axford, Elizabeth, Delpino, M Victoria, Demarchi, Francesca, Dembitz, Vilma, Demers, Nicholas, Deng, Hongbin, Deng, Zhiqiang, Dengjel, Joern, Dent, Paul, Denton, Donna, DePamphilis, Melvin, Der, Channing, Deretic, Vojo, Descoteaux, Albert, Devis, Laura, Devkota, Sushil, Devuyst, Olivier, Dewson, Grant, Dharmasivam, Mahendiran, Dhiman, Rohan, di Bernardo, Diego, Di Cristina, Manlio, Di Domenico, Fabio, Di Fazio, Pietro, Di Fonzo, Alessio, Di Guardo, Giovanni, Di Guglielmo, Gianni, Di Leo, Luca, Di Malta, Chiara, Di Nardo, Alessia, Di Rienzo, Martina, Di Sano, Federica, Diallinas, George, Diao, Jiajie, Diaz-Araya, Guillermo, Díaz-Laviada, Inés, Dickinson, Jared, Diederich, Marc, Dieudé, Mélanie, Dikic, Ivan, Ding, Shiping, Ding, Wen-Xing, Dini, Luciana, Dinić, Jelena, Dinic, Miroslav, Dinkova-Kostova, Albena, Dionne, Marc, Distler, Jörg, Diwan, Abhinav, Dixon, Ian, Djavaheri-Mergny, Mojgan, Dobrinski, Ina, Dobrovinskaya, Oxana, Dobrowolski, Radek, Dobson, Renwick, Đokić, Jelena, Dokmeci Emre, Serap, Donadelli, Massimo, Dong, Bo, Dong, Xiaonan, Dong, Zhiwu, Dorn Ii, Gerald, Dotsch, Volker, Dou, Huan, Dou, Juan, Dowaidar, Moataz, Dridi, Sami, Drucker, Liat, Du, Ailian, Du, Caigan, Du, Guangwei, Du, Hai-Ning, Du, Li-Lin, du Toit, André, Duan, Shao-Bin, Duan, Xiaoqiong, Duarte, Sónia, Dubrovska, Anna, Dunlop, Elaine, Dupont, Nicolas, Durán, Raúl, Dwarakanath, Bilikere, Dyshlovoy, Sergey, Ebrahimi-Fakhari, Darius, Eckhart, Leopold, Edelstein, Charles, Efferth, Thomas, Eftekharpour, Eftekhar, Eichinger, Ludwig, Eid, Nabil, Eisenberg, Tobias, Eissa, N Tony, Eissa, Sanaa, Ejarque, Miriam, El Andaloussi, Abdeljabar, El-Hage, Nazira, El-Naggar, Shahenda, Eleuteri, Anna Maria, El-Shafey, Eman, Elgendy, Mohamed, Eliopoulos, Aristides, Elizalde, María, Elks, Philip, Elsasser, Hans-Peter, Elsherbiny, Eslam, Emerling, Brooke, Emre, N., Eng, Christina, Engedal, Nikolai, Engelbrecht, Anna-Mart, Engelsen, Agnete, Enserink, Jorrit, Escalante, Ricardo, Esclatine, Audrey, Escobar-Henriques, Mafalda, Eskelinen, Eeva-Liisa, Espert, Lucile, Eusebio, Makandjou-Ola, Fabrias, Gemma, Fabrizi, Cinzia, Facchiano, Antonio, Facchiano, Francesco, Fadeel, Bengt, Fader, Claudio, Faesen, Alex, Fairlie, W Douglas, Falcó, Alberto, Falkenburger, Bjorn, Fan, Daping, Fan, Jie, Fan, Yanbo, Fang, Evandro, Fang, Yanshan, Fang, Yognqi, Fanto, Manolis, Farfel-Becker, Tamar, Faure, Mathias, Fazeli, Gholamreza, Fedele, Anthony, Feldman, Arthur, Feng, Du, Feng, Jiachun, Feng, Lifeng, Feng, Yibin, Feng, Yuchen, Feng, Wei, Fenz Araujo, Thais, Ferguson, Thomas, Fernández, Álvaro, Fernandez-Checa, Jose, Fernández-Veledo, Sonia, Fernie, Alisdair, Ferrante, Anthony, Ferraresi, Alessandra, Ferrari, Merari, Ferreira, Julio, Ferro-Novick, Susan, Figueras, Antonio, Filadi, Riccardo, Filigheddu, Nicoletta, Filippi-Chiela, Eduardo, Filomeni, Giuseppe, Fimia, Gian Maria, Fineschi, Vittorio, Finetti, Francesca, Finkbeiner, Steven, Fisher, Edward, Fisher, Paul, Flamigni, Flavio, Fliesler, Steven, Flo, Trude, Florance, Ida, Florey, Oliver, Florio, Tullio, Fodor, Erika, Follo, Carlo, Fon, Edward, Forlino, Antonella, Fornai, Francesco, Fortini, Paola, Fracassi, Anna, Fraldi, Alessandro, Franco, Brunella, Franco, Rodrigo, Franconi, Flavia, Frankel, Lisa, Friedman, Scott, Fröhlich, Leopold, Frühbeck, Gema, Fuentes, Jose, Fujiki, Yukio, Fujita, Naonobu, Fujiwara, Yuuki, Fukuda, Mitsunori, Fulda, Simone, Furic, Luc, Furuya, Norihiko, Fusco, Carmela, Gack, Michaela, Gaffke, Lidia, Galadari, Sehamuddin, Galasso, Alessia, Galindo, Maria, Gallolu Kankanamalage, Sachith, Galluzzi, Lorenzo, Galy, Vincent, Gammoh, Noor, Gan, Boyi, Ganley, Ian, Gao, Feng, Gao, Hui, Gao, Minghui, Gao, Ping, Gao, Shou-Jiang, Gao, Wentao, Gao, Xiaobo, Garcera, Ana, Garcia, Maria Noé, Garcia, Verónica, García-del Portillo, Francisco, Garcia-Escudero, Vega, Garcia-Garcia, Aracely, Garcia-Macia, Marina, García-Moreno, Diana, Garcia-Ruiz, Carmen, García-Sanz, Patricia, Garg, Abhishek, Gargini, Ricardo, Garofalo, Tina, Garry, Robert, Gassen, Nils, Gatica, Damian, Ge, Liang, Ge, Wanzhong, Geiss-Friedlander, Ruth, Gelfi, Cecilia, Genschik, Pascal, Gentle, Ian, Gerbino, Valeria, Gerhardt, Christoph, Germain, Kyla, Germain, Marc, Gewirtz, David, Ghasemipour Afshar, Elham, Ghavami, Saeid, Ghigo, Alessandra, Ghosh, Manosij, Giamas, Georgios, Giampietri, Claudia, Giatromanolaki, Alexandra, Gibson, Gary, Gibson, Spencer, Ginet, Vanessa, Giniger, Edward, Giorgi, Carlotta, Girao, Henrique, Girardin, Stephen, Giridharan, Mridhula, Giuliano, Sandy, Giulivi, Cecilia, Giuriato, Sylvie, Giustiniani, Julien, Gluschko, Alexander, Goder, Veit, Goginashvili, Alexander, Golab, Jakub, Goldstone, David, Golebiewska, Anna, Gomes, Luciana, Gomez, Rodrigo, Gómez-Sánchez, Rubén, Gomez-Puerto, Maria Catalina, Gomez-Sintes, Raquel, Gong, Qingqiu, Goni, Felix, González-Gallego, Javier, Gonzalez-Hernandez, Tomas, Gonzalez-Polo, Rosa, Gonzalez-Reyes, Jose, González-Rodríguez, Patricia, Goping, Ing Swie, Gorbatyuk, Marina, Gorbunov, Nikolai, Görgülü, Kıvanç, Gorojod, Roxana, Gorski, Sharon, Goruppi, Sandro, Gotor, Cecilia, Gottlieb, Roberta, Gozes, Illana, Gozuacik, Devrim, Graef, Martin, Gräler, Markus, Granatiero, Veronica, Grasso, Daniel, Gray, Joshua, Green, Douglas, Greenhough, Alexander, Gregory, Stephen, Griffin, Edward, Grinstaff, Mark, Gros, Frederic, Grose, Charles, Gross, Angelina, Gruber, Florian, Grumati, Paolo, Grune, Tilman, Gu, Xueyan, Guan, Jun-Lin, Guardia, Carlos, Guda, Kishore, Guerra, Flora, Guerri, Consuelo, Guha, Prasun, Guillén, Carlos, Gujar, Shashi, Gukovskaya, Anna, Gukovsky, Ilya, Gunst, Jan, Günther, Andreas, Guntur, Anyonya, Guo, Chuanyong, Guo, Chun, Guo, Hongqing, Guo, Lian-Wang, Guo, Ming, Gupta, Pawan, Gupta, Shashi Kumar, Gupta, Swapnil, Gupta, Veer Bala, Gupta, Vivek, Gustafsson, Asa, Gutterman, David, H B, Ranjitha, Haapasalo, Annakaisa, Haber, James, Hać, Aleksandra, Hadano, Shinji, Hafrén, Anders, Haidar, Mansour, Hall, Belinda, Halldén, Gunnel, Hamacher-Brady, Anne, Hamann, Andrea, Hamasaki, Maho, Han, Weidong, Hansen, Malene, Hanson, Phyllis, Hao, Zijian, Harada, Masaru, Harhaji-Trajkovic, Ljubica, Hariharan, Nirmala, Haroon, Nigil, Harris, James, Hasegawa, Takafumi, Hasima Nagoor, Noor, Haspel, Jeffrey, Haucke, Volker, Hawkins, Wayne, Hay, Bruce, Haynes, Cole, Hayrabedyan, Soren, Hays, Thomas, He, Congcong, He, Qin, He, Rong-Rong, He, You-Wen, He, Yu-Ying, Heakal, Yasser, Heberle, Alexander, Hejtmancik, J Fielding, Helgason, Gudmundur Vignir, Henkel, Vanessa, Herb, Marc, Hergovich, Alexander, Herman-Antosiewicz, Anna, Hernández, Agustín, Hernandez, Carlos, Hernandez-Diaz, Sergio, Hernandez-Gea, Virginia, Herpin, Amaury, Herreros, Judit, Hervás, Javier, Hesselson, Daniel, Hetz, Claudio, Heussler, Volker, Higuchi, Yujiro, Hilfiker, Sabine, Hill, Joseph, Hlavacek, William, Ho, Emmanuel, Ho, Idy, Ho, Philip Wing-Lok, Ho, Shu-Leong, Ho, Wan Yun, Hobbs, G Aaron, Hochstrasser, Mark, Hoet, Peter, Hofius, Daniel, Hofman, Paul, Höhn, Annika, Holmberg, Carina, Hombrebueno, Jose, Yi-Ren Hong, Chang-Won Hong, Hooper, Lora, Hoppe, Thorsten, Horos, Rastislav, Hoshida, Yujin, Hsin, I-Lun, Hsu, Hsin-Yun, Hu, Bing, Hu, Dong, Hu, Li-Fang, Hu, Ming Chang, Hu, Ronggui, Hu, Wei, Hu, Yu-Chen, Hu, Zhuo-Wei, Hua, Fang, Hua, Jinlian, Hua, Yingqi, Huan, Chongmin, Huang, Canhua, Huang, Chuanshu, Huang, Chuanxin, Huang, Chunling, Huang, Haishan, Huang, Kun, Huang, Michael, Huang, Rui, Huang, Shan, Huang, Tianzhi, Huang, Xing, Huang, Yuxiang Jack, Huber, Tobias, Hubert, Virginie, Hubner, Christian, Hughes, Stephanie, Hughes, William, Humbert, Magali, Hummer, Gerhard, Hurley, James, Hussain, Sabah, Hussain, Salik, Hussey, Patrick, Hutabarat, Martina, Hwang, Hui-Yun, Hwang, Seungmin, Ieni, Antonio, Ikeda, Fumiyo, Imagawa, Yusuke, Imai, Yuzuru, Imbriano, Carol, Imoto, Masaya, Inman, Denise, Inoki, Ken, Iovanna, Juan, Iozzo, Renato, Ippolito, Giuseppe, Irazoqui, Javier, Iribarren, Pablo, Ishaq, Mohd, ISHIKAWA, Makoto, Ishimwe, Nestor, Isidoro, Ciro, Ismail, Nahed, Issazadeh-Navikas, Shohreh, Itakura, Eisuke, Ito, Daisuke, Ivankovic, Davor, Ivanova, Saška, Iyer, Anand Krishnan V, Izquierdo, José, Izumi, Masanori, Jäättelä, Marja, Jabir, Majid Sakhi, Jackson, William, Jacobo-Herrera, Nadia, Jacomin, Anne-Claire, Jacquin, Elise, Jadiya, Pooja, Jaeschke, Hartmut, Jagannath, Chinnaswamy, Jakobi, Arjen, Jakobsson, Johan, Janji, Bassam, Jansen-Dürr, Pidder, Jansson, Patric, Jantsch, Jonathan, Januszewski, Sławomir, Jassey, Alagie, Jean, Steve, Jeltsch-David, Hélène, Jendelova, Pavla, Jenny, Andreas, Jensen, Thomas, Jessen, Niels, Jewell, Jenna, Ji, Jing, Jia, Lijun, Jia, Rui, Jiang, Liwen, Jiang, Qing, Jiang, Richeng, Jiang, Teng, Jiang, Xuejun, Jiang, Yu, Jimenez-Sanchez, Maria, Jin, Eun-Jung, Jin, Fengyan, Jin, Hongchuan, Jin, Li, Jin, Luqi, Jin, Meiyan, Jin, Si, Jo, Eun-Kyeong, Joffre, Carine, Johansen, Terje, Johnson, Gail, Johnston, Simon, Jokitalo, Eija, Jolly, Mohit Kumar, Joosten, Leo, Jordan, Joaquin, Joseph, Bertrand, Ju, Dianwen, Ju, Jeong-Sun, Ju, Jingfang, Juárez, Esmeralda, Judith, Delphine, Juhász, Gábor, Jun, Youngsoo, Jung, Chang Hwa, Jung, Sung-Chul, Jung, Yong Keun, Jungbluth, Heinz, Jungverdorben, Johannes, Just, Steffen, Kaarniranta, Kai, Kaasik, Allen, Kabuta, Tomohiro, Kaganovich, Daniel, Kahana, Alon, Kain, Renate, Kajimura, Shinjo, Kalamvoki, Maria, Kalia, Manjula, Kalinowski, Danuta, Kaludercic, Nina, Kalvari, Ioanna, Kaminska, Joanna, Kaminskyy, Vitaliy, Kanamori, Hiromitsu, Kanasaki, Keizo, Kang, Chanhee, Kang, Rui, Kang, Sang Sun, Kaniyappan, Senthilvelrajan, 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Adi, Kimmelman, Alec, Kimura, Tomonori, King, Matthew, Kinghorn, Kerri, Kinsey, Conan, Kirkin, Vladimir, Kirshenbaum, Lorrie, Kiselev, Sergey, Kishi, Shuji, Kitamoto, Katsuhiko, Kitaoka, Yasushi, Kitazato, Kaio, Kitsis, Richard, Kittler, Josef, Kjaerulff, Ole, Klein, Peter, Klopstock, Thomas, Klucken, Jochen, Knævelsrud, Helene, Knorr, Roland, Ko, Ben, Ko, Fred, Ko, Jiunn-Liang, Kobayashi, Hotaka, Kobayashi, Satoru, Koch, Ina, Koch, Jan, Koenig, Ulrich, Kögel, Donat, Koh, Young Ho, Koike, Masato, Kohlwein, Sepp, Kocaturk, Nur, Komatsu, Masaaki, König, Jeannette, Kono, Toru, Kopp, Benjamin, Korcsmaros, Tamas, Korkmaz, Gözde, Korolchuk, Viktor, Korsnes, Mónica Suárez, Koskela, Ali, Kota, Janaiah, Kotake, Yaichiro, Kotler, Monica, Kou, Yanjun, Koukourakis, Michael, Koustas, Evangelos, Kovacs, Attila, Kovács, Tibor, Koya, Daisuke, Kozako, Tomohiro, Kraft, Claudine, Krainc, Dimitri, Krämer, Helmut, Krasnodembskaya, Anna, Kretz-Remy, Carole, Kroemer, Guido, Ktistakis, Nicholas, Kuchitsu, 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Da-Hye, Lee, Edward, Lee, Erinna, Lee, Gyun Min, Lee, He-Jin, Lee, Heung Kyu, Lee, Jae Man, Lee, Jason, Lee, Jin-A, Lee, Joo-Yong, Lee, Jun Hee, Lee, Michael, Lee, Min Goo, Lee, Min Jae, Lee, Myung-Shik, Lee, Sang Yoon, Lee, Seung-Jae, Lee, Stella, Lee, Sung Bae, Lee, Won Hee, Lee, Ying-Ray, Lee, Yong-ho, Lee, Youngil, Lefebvre, Christophe, Legouis, Renaud, Lei, Yu, Lei, Yuchen, Leikin, Sergey, Leitinger, Gerd, Lemus, Leticia, Leng, Shuilong, Lenoir, Olivia, Lenz, Guido, Lenz, Heinz Josef, Lenzi, Paola, León, Yolanda, Leopoldino, Andréia, Leschczyk, Christoph, Leskelä, Stina, Letellier, Elisabeth, Leung, Chi-Ting, Leung, Po Sing, Leventhal, Jeremy, Levine, Beth, Lewis, Patrick, Ley, Klaus, Li, Bin, Li, Da-Qiang, Li, Jianming, Li, Jing, Li, Jiong, Li, Ke, Li, Liwu, Li, Mei, Li, Min, Li, Ming, Li, Mingchuan, Li, Pin-Lan, Li, Ming-Qing, Li, Qing, Li, Sheng, Li, Tiangang, Li, Wei, Li, Wenming, Li, Xue, Li, Yi-Ping, Li, Yuan, Li, Zhiqiang, Li, Zhiyong, Li, Zhiyuan, Lian, Jiqin, Liang, Chengyu, Liang, Qiangrong, Liang, Weicheng, Liang, Yongheng, Liang, YongTian, Liao, Guanghong, Liao, Lujian, Liao, Mingzhi, Liao, Yung-Feng, Librizzi, Mariangela, Lie, Pearl, Lilly, Mary, Lim, Hyunjung, Lima, Thania, Limana, Federica, Lin, Chao, Lin, Chih-Wen, Lin, Dar-Shong, Lin, Fu-Cheng, Lin, Jiandie, Lin, Kurt, Lin, Kwang-Huei, Lin, Liang-Tzung, LIN, Pei-Hui, Lin, Qiong, Lin, Shaofeng, Lin, Su-Ju, Lin, Wenyu, Lin, Xueying, Lin, Yao-Xin, Lin, Yee-Shin, Linden, Rafael, Lindner, Paula, Ling, Shuo-Chien, Lingor, Paul, Linnemann, Amelia, Liou, Yih-Cherng, Lipinski, Marta, Lipovšek, Saška, Lira, Vitor, Lisiak, Natalia, Liton, Paloma, Liu, Chao, Liu, Ching-Hsuan, Liu, Chun-Feng, Liu, Cui Hua, Liu, Fang, Liu, Hao, Liu, Hsiao-Sheng, Liu, Hua-feng, Liu, Huifang, Liu, Jia, Liu, Jing, Liu, Julia, Liu, Leyuan, Liu, Longhua, Liu, Meilian, Liu, Qin, Liu, Wei, Liu, Wende, Liu, Xiao-Hong, Liu, Xiaodong, Liu, Xingguo, Liu, Xu, Liu, Xuedong, Liu, Yanfen, Liu, Yang, Liu, Yueyang, Liu, Yule, 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Ignacio, Ramsden, David, Randow, Felix, Rangarajan, Pundi, Ranieri, Danilo, Rao, Hai, Rao, Lang, Rao, Rekha, Rathore, Sumit, Ratnayaka, J Arjuna, Ratovitski, Edward, Ravanan, Palaniyandi, Ravegnini, Gloria, Ray, Swapan, Razani, Babak, Rebecca, Vito, Reggiori, Fulvio, Régnier-Vigouroux, Anne, Reichert, Andreas, Reigada, David, Reiling, Jan, Rein, Theo, Reipert, Siegfried, Rekha, Rokeya Sultana, Ren, Hongmei, Ren, Jun, Ren, Weichao, Renault, Tristan, Renga, Giorgia, Reue, Karen, Rewitz, Kim, Ribeiro de Andrade Ramos, Bruna, Riazuddin, S Amer, Ribeiro-Rodrigues, Teresa, Ricci, Jean-Ehrland, Ricci, Romeo, Riccio, Victoria, Richardson, Des, Rikihisa, Yasuko, Risbud, Makarand, Risueño, Ruth, Ritis, Konstantinos, Rizza, Salvatore, Rizzuto, Rosario, Roberts, Helen, Roberts, Luke, Robinson, Katherine, Roccheri, Maria Carmela, Rocchi, Stephane, Rodney, George, Rodrigues, Tiago, Rodrigues Silva, Vagner Ramon, Rodriguez, Amaia, Rodriguez-Barrueco, Ruth, Rodriguez-Henche, Nieves, Rodriguez-Rocha, 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Sahni, Sumit, Saito, Nayuta, Saito, Shigeru, Saito, Tsunenori, Sakai, Ryohei, Sakai, Yasuyoshi, Sakamaki, Jun-Ichi, Saksela, Kalle, Salazar, Gloria, Salazar-Degracia, Anna, Salekdeh, Ghasem, Saluja, Ashok, Sampaio-Marques, Belém, Sanchez, Maria Cecilia, Sanchez-Alcazar, Jose, Sanchez-Vera, Victoria, Sancho-Shimizu, Vanessa, Sanderson, J Thomas, Sandri, Marco, Santaguida, Stefano, Santambrogio, Laura, Santana, Magda, Santoni, Giorgio, Sanz, Alberto, Sanz, Pascual, Saran, Shweta, Sardiello, Marco, Sargeant, Timothy, Sarin, Apurva, Sarkar, Chinmoy, Sarkar, Sovan, Sarrias, Maria-Rosa, Sarkar, Surajit, Sarmah, Dipanka Tanu, Sarparanta, Jaakko, Sathyanarayan, Aishwarya, Sathyanarayanan, Ranganayaki, Scaglione, K Matthew, Scatozza, Francesca, Schaefer, Liliana, Schafer, Zachary, Schaible, Ulrich, Schapira, Anthony, Scharl, Michael, Schatzl, Hermann, Schein, Catherine, Scheper, Wiep, Scheuring, David, Schiaffino, Maria Vittoria, Schiappacassi, Monica, Schindl, Rainer, Schlattner, Uwe, Schmidt, 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Pierre-Louis, Thedieck, Kathrin, Thekkinghat, Arvind, Thellung, Stefano, Thinwa, Josephine, Thirumalaikumar, V.P., Thomas, Sufi Mary, Thomes, Paul, Thorburn, Andrew, Thukral, Lipi, Thum, Thomas, Thumm, Michael, Tian, Ling, Tichy, Ales, Till, Andreas, Timmerman, Vincent, Titorenko, Vladimir, Todi, Sokol, Todorova, Krassimira, Toivonen, Janne, Tomaipitinca, Luana, Tomar, Dhanendra, Tomas-Zapico, Cristina, Tomić, Sergej, Tong, Benjamin Chun-Kit, Tong, Chao, Tong, Xin, Tooze, Sharon, Torgersen, Maria, Torii, Satoru, Torres-López, Liliana, Torriglia, Alicia, Towers, Christina, Towns, Roberto, Toyokuni, Shinya, Trajkovic, Vladimir, Tramontano, Donatella, Tran, Quynh-Giao, Travassos, Leonardo, Trelford, Charles, Tremel, Shirley, Trougakos, Ioannis, Tsao, Betty, Tschan, Mario, Tse, Hung-Fat, Tse, Tak Fu, Tsugawa, Hitoshi, Tsvetkov, Andrey, Tumbarello, David, Tumtas, Yasin, Tuñón, María, Turcotte, Sandra, Turk, Boris, Turk, Vito, Turner, Bradley, Tuxworth, Richard, Tyler, Jessica, Tyutereva, Elena, Uchiyama, Yasuo, Ugun-Klusek, Aslihan, Uhlig, Holm, Ułamek-Kozioł, Marzena, Ulasov, Ilya, Umekawa, Midori, Ungermann, Christian, Unno, Rei, Urbe, Sylvie, Uribe-Carretero, Elisabet, Üstün, Suayib, Uversky, Vladimir, Vaccari, Thomas, Vaccaro, Maria, Vahsen, Björn, Vakifahmetoglu-Norberg, Helin, Valdor, Rut, Valente, Maria, Valko, Ayelén, Vallee, Richard, Valverde, Angela, Van Den Berghe, Greet, van der Veen, Stijn, Van Kaer, Luc, van Loosdregt, Jorg, van Wijk, Sjoerd, Vandenberghe, Wim, Vanhorebeek, Ilse, Vannier-Santos, Marcos, Vannini, Nicola, Vanrell, M Cristina, Vantaggiato, Chiara, Varano, Gabriele, Varela-Nieto, Isabel, Varga, Máté, Vasconcelos, M Helena, Vats, Somya, Vavvas, Demetrios, Vega-Naredo, Ignacio, Vega-Rubin-de-Celis, Silvia, Velasco, Guillermo, Velázquez, Ariadna, Vellai, Tibor, Vellenga, Edo, Velotti, Francesca, Verdier, Mireille, Verginis, Panayotis, Vergne, Isabelle, Verkade, Paul, Verma, Manish, Verstreken, Patrik, Vervliet, Tim, Vervoorts, Jörg, Vessoni, Alexandre, Victor, Victor, Vidal, Michel, Vidoni, Chiara, Vieira, Otilia, Vierstra, Richard, Viganó, Sonia, Vihinen, Helena, Vijayan, Vinoy, Vila, Miquel, Vilar, Marçal, Villalba, José, Villalobo, Antonio, Villarejo-Zori, Beatriz, Villarroya, Francesc, Villarroya, Joan, Vincent, Olivier, Vindis, Cecile, Viret, Christophe, Viscomi, Maria Teresa, Visnjic, Dora, Vitale, Ilio, Vocadlo, David, Voitsekhovskaja, Olga, Volonté, Cinzia, Volta, Mattia, Vomero, Marta, Von Haefen, Clarissa, Vooijs, Marc, Voos, Wolfgang, Vucicevic, Ljubica, Wade-Martins, Richard, Waguri, Satoshi, Waite, Kenrick, Wakatsuki, Shuji, Walker, David, Walker, Mark, Walker, Simon, Walter, Jochen, Wandosell, Francisco, Wang, Bo, Wang, Chao-Yung, Wang, Chen, Wang, Chenran, Wang, Chenwei, Wang, Cun-Yu, Wang, Dong, Wang, Fangyang, Wang, Feng, Wang, Fengming, Wang, Guansong, Wang, Han, Wang, Hao, Wang, Hexiang, Wang, Hong-Gang, Wang, Jianrong, Wang, Jigang, Wang, Jiou, Wang, Jundong, Wang, Kui, Wang, Lianrong, Wang, Liming, Wang, Maggie Haitian, Wang, Meiqing, Wang, Nanbu, Wang, PengWei, Wang, PeiPei, Wang, Ping, Wang, Qing Jun, Wang, Qing, Wang, Qing Kenneth, Wang, Qiong, Wang, Wen-Tao, Wang, Wuyang, Wang, Xinnan, Wang, Xuejun, Wang, Yan, Wang, Yanchang, Wang, Yanzhuang, Wang, Yen-Yun, Wang, Yihua, Wang, Yipeng, Wang, Yu, wang, yuqi, Wang, Zhe, Wang, Zhenyu, Wang, Zhouguang, Warnes, Gary, Warnsmann, Verena, Watada, Hirotaka, Watanabe, Eizo, Watchon, Maxinne, Wawrzyńska, Anna, Weaver, Timothy, Wegrzyn, Grzegorz, Wehman, Ann, Wei, Huafeng, Wei, Lei, Wei, Taotao, Wei, Yongjie, Weiergräber, Oliver, Weihl, Conrad, Weindl, Günther, Weiskirchen, Ralf, Wells, Alan, Wen, Runxia, Wen, Xin, Werner, Antonia, Weykopf, Beatrice, Wheatley, Sally, Whitton, J Lindsay, Whitworth, Alexander, Wiktorska, Katarzyna, Wildenberg, Manon, Wileman, Tom, Wilkinson, Simon, Willbold, Dieter, Williams, Brett, Williams, Robin, Williams, Roger, Williamson, Peter, Wilson, Richard, Winner, Beate, Winsor, Nathaniel, Witkin, Steven, Wodrich, Harald, Woehlbier, Ute, Wollert, Thomas, Wong, Esther, Wong, Jack Ho, Wong, Richard, Wong, Vincent Kam Wai, Wong, W Wei-Lynn, Wu, An-Guo, Wu, Chengbiao, Wu, Jian, Wu, Junfang, Wu, Kenneth, Wu, Min, Wu, Shan-Ying, Wu, Shengzhou, Wu, Shu-Yan, Wu, Shufang, Wu, William, Wu, Xiaohong, Wu, Xiaoqing, Wu, Yao-Wen, Wu, Yihua, Xavier, Ramnik, Xia, Hongguang, Xia, Lixin, Xia, Zhengyuan, Xiang, Ge, Xiang, Jin, Xiang, Mingliang, Xiang, Wei, Xiao, Bin, Xiao, Guozhi, Xiao, Hengyi, Xiao, Hong-tao, Xiao, Jian, Xiao, Lan, Xiao, Shi, Xiao, Yin, Xie, Baoming, Xie, Chuan-Ming, Xie, Min, Xie, Yuxiang, Xie, Zhiping, Xie, Zhonglin, Xilouri, Maria, Xu, Congfeng, Xu, En, Xu, Haoxing, Xu, Jing, Xu, Jinrong, Xu, Liang, Xu, Wen Wen, Xu, Xiulong, Xue, Yu, Yakhine-Diop, Sokhna, Yamaguchi, Masamitsu, Yamaguchi, Osamu, Yamamoto, Ai, Yamashina, Shunhei, Yan, Shengmin, Yan, Shian-Jang, Yan, Zhen, Yanagi, Yasuo, Yang, Chuanbin, Yang, Dun-Sheng, Yang, Huan, Yang, Huang-Tian, Yang, Hui, Yang, Jin-Ming, Yang, Jing, Yang, Jingyu, Yang, Ling, Yang, Liu, Yang, Ming, Yang, Pei-Ming, Yang, Qian, Yang, Seungwon, Yang, Shu, Yang, Shun-Fa, Yang, Wannian, Yang, Wei Yuan, Yang, Xiaoyong, Yang, Xuesong, Yang, Yi, Yang, Ying, Yao, Honghong, Yao, Shenggen, Yao, Xiaoqiang, Yao, Yong-Gang, Yao, Yong-Ming, Yasui, Takahiro, Yazdankhah, Meysam, Yen, Paul, Yi, Cong, Yin, Xiao-Ming, Yin, Yanhai, Yin, Zhangyuan, Yin, Ziyi, Ying, Meidan, Ying, Zheng, Yip, Calvin, Yiu, Stephanie Pei Tung, Yoo, Young, Yoshida, Kiyotsugu, Yoshii, Saori, Yoshimori, Tamotsu, Yousefi, Bahman, Yu, Boxuan, Yu, Haiyang, Yu, Jun, Yu, Li, Yu, Ming-Lung, Yu, Seong-Woon, Yu, Victor, Yu, W Haung, Yu, Zhengping, Yu, Zhou, Yuan, Junying, Yuan, Ling-Qing, Yuan, Shilin, Yuan, Shyng-Shiou, Yuan, Yanggang, Yuan, Zengqiang, Yue, Jianbo, Yue, Zhenyu, Yun, Jeanho, Yung, Raymond, Zacks, David, Zaffagnini, Gabriele, Zambelli, Vanessa, Zanella, Isabella, Zang, Qun, Zanivan, Sara, Zappavigna, Silvia, Zaragoza, Pilar, Zarbalis, Konstantinos, Zarebkohan, Amir, Zarrouk, Amira, Zeitlin, Scott, Zeng, Jialiu, Zeng, Ju-deng, Žerovnik, Eva, Zhan, Lixuan, Zhang, Bin, Zhang, Donna, Zhang, Hanlin, Zhang, Hong, Zhang, Honghe, Zhang, Huafeng, Zhang, Huaye, Zhang, Hui, Zhang, Hui-Ling, Zhang, Jianbin, Zhang, Jianhua, Zhang, Jing-Pu, Zhang, Kalin, Zhang, Leshuai, Zhang, Lin, Zhang, Lisheng, Zhang, Lu, Zhang, Luoying, Zhang, Menghuan, Zhang, Peng, Zhang, Sheng, Zhang, Wei, Zhang, Xiangnan, Zhang, Xiao-Wei, Zhang, Xiaolei, Zhang, Xiaoyan, Zhang, Xin, Zhang, Xinxin, Zhang, Xu Dong, Zhang, Yang, Zhang, Yanjin, Zhang, Yi, Zhang, Ying-Dong, Zhang, Yingmei, Zhang, Yuan-Yuan, Zhang, Yuchen, Zhang, Zhe, Zhang, Zhengguang, Zhang, Zhibing, Zhang, Zhihai, Zhang, Zhiyong, Zhang, Zili, Zhao, Haobin, Zhao, Lei, Zhao, Shuang, Zhao, Tongbiao, Zhao, Xiao-Fan, Zhao, Ying, Zhao, Yongchao, Zhao, Yongliang, Zhao, Yuting, Zheng, Guoping, Zheng, Kai, Zheng, Ling, Zheng, Shizhong, Zheng, Xi-Long, Zheng, Yi, Zheng, Zu-Guo, Zhivotovsky, Boris, Zhong, Qing, Zhou, Ao, Zhou, Ben, Zhou, Cefan, ZHOU, Gang, Zhou, Hao, Zhou, Hong, Zhou, Hongbo, Zhou, Jie, Zhou, Jing, Zhou, Jiyong, Zhou, Kailiang, Zhou, Rongjia, Zhou, Xu-jie, Zhou, Yanshuang, Zhou, Yinghong, Zhou, Yubin, Zhou, Zheng-Yu, Zhou, Zhou, Zhu, Binglin, Zhu, Changlian, Zhu, Guo-Qing, Zhu, Haining, Zhu, Hongxin, Zhu, Hua, Zhu, Wei-Guo, Zhu, Yanping, Zhu, Yushan, Zhuang, Haixia, Zhuang, Xiaohong, Zientara-Rytter, Katarzyna, Zimmermann, Christine, Ziviani, Elena, Zoladek, Teresa, Zong, Wei-Xing, Zorov, Dmitry, Zorzano, Antonio, Zou, Weiping, Zou, Zhen, Zou, Zhengzhi, Zuryn, Steven, Zwerschke, Werner, Brand-Saberi, Beate, Dong, X Charlie, Kenchappa, Chandra Shekar, Li, Zuguo, Lin, Yong, Oshima, Shigeru, Rong, Yueguang, Sluimer, Judith, Stallings, Christina, Tong, Chun-Kit, Ahmad, S. Tariq, Alim Al-Bari, M. Abdul, Bechara, Luiz R.G., Behrens, Georg M.N., Bhuiyan, Md. Shenuarin, Broaddus, V. Courtney, Buchan, J. Ross, Burón, M. Isabel, Carter, A. Brent, Chan, Matthew T.V., Choi, Augustine M.K., D’Adamo, Stefania, D’Amelio, Marcello, D’Arcangelo, Daniela, D’Lugos, Andrew, D’Orazi, Gabriella, De Meyer, Guido R.Y., Delpino, M. Victoria, Distler, Jörg H.W., Dixon, Ian M.C., Dobson, Renwick C.J., 2nd Dorn, Gerald, Eissa, N. Tony, Engelsen, Agnete S.T., Fairlie, W. Douglas, Ferreira, Julio C.B., H.B., Ranjitha, Hanson, Phyllis I., Hejtmancik, J. Fielding, Ho, Idy H.T., Hobbs, G. Aaron, Hoet, Peter H.M., Huang, Michael L.H., Iyer, Anand Krishnan V., Johnson, Gail V.W., Joosten, Leo A.B., Karim, Md. Razaul, Kaufmann, Stefan H.E., Ko, Ben C.B., Leck, Lionel Y.W., Lima, Thania R.R., Livingston, J. Andrew, Martin, Alexandre P.J., Montes, L. Ruth, Murphy, J. Patrick, Ng, Charlene C.W., Nicolao, M. Celeste, O’Donovan, Tracey, O’Leary, Seónadh, O’Rourke, Eyleen, O’Sullivan, Mary, O’Sullivan, Timothy, Omary, M. Bishr, Pereira, Gustavo J.S., Ratnayaka, J. Arjuna, Riazuddin, S. Amer, Rouschop, Kasper M.A., Sanderson, J. Thomas, Scaglione, K. Matthew, Schapira, Anthony H.V., Scovassi, A. Ivana, St. Clair, Daret, Sunahara, Karen K.S., Symons, J. David, Triola, Gemma, van Wijk, Sjoerd J.L., Vanrell, M. Cristina, Vasconcelos, M. Helena, Whitton, J. Lindsay, Williams, Robin S.B., Wong, W. Wei-Lynn, Wu, William K.K., Yakhine-Diop, Sokhna M.S., Yu, W. Haung, Zhang, Kalin Y.B., Dong, X. Charlie, Ain Shams University [ASU], Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University [JGU], Medical University Graz, Centre de Recherche des Cordeliers [CRC (UMR_S_1138 / U1138)], Institut Pasteur d'Iran, Leibniz Institute of Plant Biochemistry [IPB], The University of Texas M.D. Anderson Cancer Center [Houston], Institut de pharmacologie moléculaire et cellulaire [IPMC], Lipides - Nutrition - Cancer [Dijon - U1231] [LNC], Centre méditerranéen de médecine moléculaire [C3M], Institut de Biologie Valrose [IBV], Petites Molécules de neuroprotection, neurorégénération et remyélinisation, Signalisation Hormonale, Physiopathologie Endocrinienne et Métabolique, Institut Cochin [IC UM3 (UMR 8104 / U1016)], Institut NeuroMyoGène [INMG], Paris-Centre de Recherche Cardiovasculaire [PARCC (UMR_S 970/ U970)], Marqueurs cardiovasculaires en situation de stress [MASCOT (UMR_S_942 / U942)], Institut de Recherche sur le Cancer et le Vieillissement [IRCAN], Centre de Recherche en Cancérologie de Marseille [CRCM], Centre for Integrative Biology - CBI [Inserm U964 - CNRS UMR7104 - IGBMC], Oncogenesis, Stress, Signaling [OSS], Institut Necker Enfants-Malades [INEM - UM 111 (UMR 8253 / U1151)], Institut de Biologie Intégrative de la Cellule [I2BC], Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte [M2iSH], Centre de Recherches en Cancérologie de Toulouse [CRCT], Physiopathologie et traitement des maladies du foie, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 [CIIL], Institut de Génétique et de Biologie Moléculaire et Cellulaire [IGBMC], Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] [BIO-PEROXIL], Centre de recherche sur l'Inflammation [CRI (UMR_S_1149 / ERL_8252 / U1149)], Unité de génétique et biologie des cancers [U830], Laboratoire d'Optique et Biosciences [LOB], Institut des Maladies Métaboliques et Casdiovasculaires [UPS/Inserm U1297 - I2MC], Différenciation et communication neuronale et neuroendocrine [DC2N], Institut de Recherche en Cancérologie de Montpellier [IRCM - U1194 Inserm - UM], Centre d'Immunologie de Marseille - Luminy [CIML], Physiopathologie et imagerie des troubles neurologiques [PhIND], Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée [LBFA], Imagine - Institut des maladies génétiques (IHU) [Imagine - U1163], Institut Mondor de Recherche Biomédicale [IMRB], Franco-czech Laboratory for clinical research on obesity, University of Michigan [Ann Arbor], University of Michigan System, Institut de pharmacologie moléculaire et cellulaire (IPMC), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Université Côte d'Azur (UCA), Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Institut de Biologie Valrose (IBV), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Nutrition, Métabolisme, Aquaculture (NuMéA), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut NeuroMyoGène (INMG), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de Recherche en Cancérologie de Marseille (CRCM), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Aix Marseille Université (AMU), Centre for Integrative Biology - CBI (Inserm U964 - CNRS UMR7104 - IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institute of genetics and molecular and cellular biology-Centre National de la Recherche Scientifique (CNRS), Chemistry, Oncogenesis, Stress and Signaling (COSS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CRLCC Eugène Marquis (CRLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Unité de Nutrition Humaine (UNH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre de Recherche en Nutrition Humaine d'Auvergne (CRNH d'Auvergne)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Laboratoire Bio-PeroxIL. Biochimie du peroxysome, inflammation et métabolisme lipidique [Dijon] (BIO-PEROXIL), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Centre de recherche sur l'Inflammation (CRI (UMR_S_1149 / ERL_8252 / U1149)), Institut Jean-Pierre Bourgin (IJPB), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Optique et Biosciences (LOB), École polytechnique (X)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Différenciation et communication neuronale et neuroendocrine (DC2N), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Recherche en Cancérologie de Montpellier (IRCM - U1194 Inserm - UM), CRLCC Val d'Aurelle - Paul Lamarque-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie et imagerie des troubles neurologiques (PhIND), Université de Caen Normandie (UNICAEN), Laboratory of Fundamental and Applied Bioenergetics = Laboratoire de bioénergétique fondamentale et appliquée (LBFA), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epithelial biology and disease - Liliane Bettencourt Chair of Developmental Biology (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Biomécanique cellulaire et respiratoire (BCR), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Charles University [Prague]-Institut National de la Santé et de la Recherche Médicale (INSERM), This work was supported by the National Institute of General Medical Sciences [GM131919]., Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Marqueurs cardiovasculaires en situation de stress (MASCOT (UMR_S_942 / U942)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes (UN)-Institut National de la Recherche Agronomique (INRA), Département Plateforme (PF I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut Gustave Roussy (IGR), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Chinese Academy of Medical Sciences [Suzhou, Chine] (CAMS), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Department of Women's and Children's Health [Stockholm, Sweden], Centre National de la Recherche Scientifique (CNRS)-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École polytechnique (X), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, FHU OncoAge - Pathologies liées à l’âge [CHU Nice] (OncoAge), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Institut de Pharmacologie Moléculaire et Cellulaire [UNIV Côte d'Azur] (UPMC), Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Life Sciences Institute [Ann Arbor, MI, USA], University of Michigan System-University of Michigan System, European Institute of Oncology IRCCS [Milan, Italy] (EIO), Ain Shams University (ASU), Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Réseau International des Instituts Pasteur (RIIP), Leibniz Institute of Plant Biochemistry (IPB), Hebrew University of Jerusalem, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Agro Dijon, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Aix Marseille Université (AMU)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Oncogenesis, Stress, Signaling (OSS), Institut des Maladies Métaboliques et Casdiovasculaires (UPS/Inserm U1297 - I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Charles University [Prague] (CU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Klionsky, D. 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C., Brodersen, P., Brodsky, J. L., Brody, S. L., Bronson, P. G., Bronstein, J. M., Brown, C. N., Brown, R. E., Brum, P. C., Brumell, J. H., Brunetti-Pierri, N., Bruno, D., Bryson-Richardson, R. J., Bucci, C., Buchrieser, C., Bueno, M., Buitrago-Molina, L. E., Buraschi, S., Buch, S., Buchan, J. R., Buckingham, E. M., Budak, H., Budini, M., Bultynck, G., Burada, F., Burgoyne, J. R., Buron, M. I., Bustos, V., Buttner, S., Butturini, E., Byrd, A., Cabas, I., Cabrera-Benitez, S., Cadwell, K., Cai, J., Cai, L., Cai, Q., Cairo, M., Calbet, J. A., Caldwell, G. A., Caldwell, K. A., Call, J. A., Calvani, R., Calvo, A. C., Calvo-Rubio Barrera, M., Camara, N. O. S., Camonis, J. H., Camougrand, N., Campanella, M., Campbell, E. M., Campbell-Valois, F. -X., Campello, S., Campesi, I., Campos, J. C., Camuzard, O., Cancino, J., Candido de Almeida, D., Canesi, L., Caniggia, I., Canonico, B., Canti, C., Cao, B., Caraglia, M., Carames, B., Carchman, E. 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K., Chang, C. -P., Chang, C., Chang, H. -C., Chang, K., Chao, J., Chapman, T., Charlet-Berguerand, N., Chatterjee, S., Chaube, S. K., Chaudhary, A., Chauhan, S., Chaum, E., Checler, F., Cheetham, M. E., Chen, C. -S., Chen, G. -C., Chen, J. -F., Chen, L. L., Chen, L., Chen, M., Chen, M. -K., Chen, N., Chen, Q., Chen, R. -H., Chen, S., Chen, W., Chen, X. -M., Chen, X. -W., Chen, X., Chen, Y., Chen, Y. -G., Chen, Y. -J., Chen, Y. -Q., Chen, Z. S., Chen, Z., Chen, Z. -H., Chen, Z. J., Cheng, H., Cheng, J., Cheng, S. -Y., Cheng, W., Cheng, X., Cheng, X. -T., Cheng, Y., Cheng, Z., Cheong, H., Cheong, J. K., Chernyak, B. V., Cherry, S., Cheung, C. F. R., Cheung, C. H. A., Cheung, K. -H., Chevet, E., Chi, R. J., Chiang, A. K. S., Chiaradonna, F., Chiarelli, R., Chiariello, M., Chica, N., Chiocca, S., Chiong, M., Chiou, S. -H., Chiramel, A. I., Chiurchiu, V., Cho, D. -H., Choe, S. -K., Choi, A. M. K., Choi, M. E., Choudhury, K. R., Chow, N. S., Chu, C. T., Chua, J. P., Chua, J. J. E., Chung, H., Chung, K. P., Chung, S., Chung, S. -H., Chung, Y. -L., Cianfanelli, V., Ciechomska, I. A., Cifuentes, M., Cinque, L., Cirak, S., Cirone, M., Clague, M. J., Clarke, R., Clementi, E., Coccia, E. M., Codogno, P., Cohen, E., Cohen, M. M., Colasanti, T., Colasuonno, F., Colbert, R. A., Colell, A., Colic, M., Coll, N. S., Collins, M. O., Colombo, M. I., Colon-Ramos, D. A., Combaret, L., Comincini, S., Cominetti, M. R., Consiglio, A., Conte, A., Conti, F., Contu, V. R., Cookson, M. R., Coombs, K. M., Coppens, I., Corasaniti, M. T., Corkery, D. P., Cordes, N., Cortese, K., Costa, M. D. C., Costantino, S., Costelli, P., Coto-Montes, A., Crack, P. J., Crespo, J. L., Criollo, A., Crippa, V., Cristofani, R., Csizmadia, T., Cuadrado, A., Cui, B., Cui, J., Cui, Y., Culetto, E., Cumino, A. C., Cybulsky, A. V., Czaja, M. J., Czuczwar, S. J., D'Adamo, S., D'Amelio, M., D'Arcangelo, D., D'Lugos, A. C., D'Orazi, G., da Silva, J. A., Dafsari, H. S., Dagda, R. K., Dagdas, Y., Daglia, M., Dai, X., Dai, Y., Dal Col, J., Dalhaimer, P., Dalla Valle, L., Dallenga, T., Dalmasso, G., Damme, M., Dando, I., Dantuma, N. P., Darling, A. L., Das, H., Dasarathy, S., Dasari, S. K., Dash, S., Daumke, O., Dauphinee, A. N., Davies, J. S., Davila, V. A., Davis, R. J., Davis, T., Dayalan Naidu, S., De Amicis, F., De Bosscher, K., De Felice, F., De Franceschi, L., De Leonibus, C., de Mattos Barbosa, M. G., De Meyer, G. R. Y., De Milito, A., De Nunzio, C., De Palma, C., De Santi, M., De Virgilio, C., De Zio, D., Debnath, J., Debosch, B. J., Decuypere, J. -P., Deehan, M. A., Deflorian, G., Degregori, J., Dehay, B., Del Rio, G., Delaney, J. R., Delbridge, L. M. D., Delorme-Axford, E., Delpino, M. V., Demarchi, F., Dembitz, V., Demers, N. D., Deng, H., Deng, Z., Dengjel, J., Dent, P., Denton, D., Depamphilis, M. L., Der, C. 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A., Ebrahimi-Fakhari, D., Eckhart, L., Edelstein, C. L., Efferth, T., Eftekharpour, E., Eichinger, L., Eid, N., Eisenberg, T., Eissa, N. T., Eissa, S., Ejarque, M., El Andaloussi, A., El-Hage, N., El-Naggar, S., Eleuteri, A. M., El-Shafey, E. S., Elgendy, M., Eliopoulos, A. G., Elizalde, M. M., Elks, P. M., Elsasser, H. -P., Elsherbiny, E. S., Emerling, B. M., Emre, N. C. T., Eng, C. H., Engedal, N., Engelbrecht, A. -M., Engelsen, A. S. T., Enserink, J. M., Escalante, R., Esclatine, A., Escobar-Henriques, M., Eskelinen, E. -L., Espert, L., Eusebio, M. -O., Fabrias, G., Fabrizi, C., Facchiano, A., Facchiano, F., Fadeel, B., Fader, C., Faesen, A. C., Fairlie, W. D., Falco, A., Falkenburger, B. H., Fan, D., Fan, J., Fan, Y., Fang, E. F., Fang, Y., Fanto, M., Farfel-Becker, T., Faure, M., Fazeli, G., Fedele, A. O., Feldman, A. M., Feng, D., Feng, J., Feng, L., Feng, Y., Feng, W., Fenz Araujo, T., Ferguson, T. A., Fernandez, A. F., Fernandez-Checa, J. C., Fernandez-Veledo, S., Fernie, A. 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Subjects: 0301 basic medicine, Programmed cell death, Settore BIO/06, Autophagosome, Autolysosome, [SDV]Life Sciences [q-bio], lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Autophagy-Related Proteins, Review, Computational biology, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, Settore MED/04, 03 medical and health sciences, stress, Chaperone-mediated autophagy, ddc:570, Autophagy, LC3, Animals, Humans, cancer, Settore BIO/10, flux, lysosome, macroautophagy, neurodegeneration, phagophore, vacuole, Set (psychology), Molecular Biology, 030102 biochemistry & molecular biology, business.industry, Interpretation (philosophy), Autophagosomes, Cell Biology, Multicellular organism, 030104 developmental biology, Knowledge base, Biological Assay, Lysosomes, business, Biomarkers, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
Published: 2021

14. Depressive symptoms and cognitive impairment: A 10-year follow-up study from the Survey of Health, Ageing and Retirement in Europe

Author: Fei-Fei Han, Wu Yao, Chang-Fu Hao, Hui-Xin Wang, Jin-Jing Pei, and Jia-Jia Wu
Subjects: medicine.medical_specialty, Aging, 03 medical and health sciences, 0302 clinical medicine, mild cognitive impairment, Risk Factors, Internal medicine, medicine, Dementia, Humans, Cognitive Dysfunction, Survey of Health, Ageing and Retirement in Europe, Aged, Retirement, Proportional hazards model, business.industry, Depression, Incidence (epidemiology), Hazard ratio, Confounding, Depressive symptoms, late-life, medicine.disease, Confidence interval, 030227 psychiatry, Europe, Psychiatry and Mental health, Ageing, Female, dose–response, business, 030217 neurology & neurosurgery, Research Article, Follow-Up Studies
Abstract: Background Depressive symptoms and cognitive impairment often coexisted in the elderly. This study investigates the effect of late-life depressive symptoms on risk of mild cognitive impairment (MCI). Methods A total of 14,231 dementia- and MCI free participants aged 60+ from the Survey of Health, Ageing, and Retirement in Europe were followed-up for 10 years to detect incident MCI. MCI was defined as 1.5 standard deviation (SD) below the mean of the standardized global cognition score. Depressive symptoms were assessed by a 12-item Europe-depression scale (EURO-D). Severity of depressive symptoms was grouped as: no/minimal (score 0–3), moderate (score 4–5), and severe (score 6–12). Significant depressive symptoms (SDSs) were defined as EURO-D score ≥ 4. Results During an average of 8.2 (SD = 2.4)-year follow-up, 1,352 (9.50%) incident MCI cases were identified. SDSs were related to higher MCI risk (hazard ratio [HR] = 1.26, 95% confidence intervals [CI]: 1.10–1.44) in total population, individuals aged 70+ (HR = 1.35, 95% CI: 1.14–1.61) and women (HR = 1.28, 95% CI: 1.08–1.51) in Cox proportional hazard model adjusting for confounders. In addition, there was a dose–response association between the severity of depressive symptoms and MCI incidence in total population, people aged ≥70 years and women (p-trend Conclusions Significant depressive symptoms were associated with higher incidence of MCI in a dose–response fashion, especially among people aged 70+ years and women. Treating depressive symptoms targeting older population and women may be effective in preventing MCI.
Published: 2021
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15. Folate and macrophage folate receptor-β in idiopathic pulmonary fibrosis disease: the potential therapeutic target?

Author: Wu Yao, Ruonan Zhai, Yaqian Qu, and Changfu Hao
Subjects: 0301 basic medicine, Folate, DNA repair, Macrophage, Cell, RM1-950, Pathogenesis, 03 medical and health sciences, Idiopathic pulmonary fibrosis, 0302 clinical medicine, Folic Acid, medicine, Humans, Folate Receptor 2, Pharmacology, Folate receptor, business.industry, Macrophages, Cell Polarity, General Medicine, respiratory system, medicine.disease, Idiopathic Pulmonary Fibrosis, respiratory tract diseases, Toll-Like Receptor 4, B vitamins, 030104 developmental biology, medicine.anatomical_structure, IPF, 030220 oncology & carcinogenesis, Nucleic acid biosynthesis, Cancer research, Therapeutics. Pharmacology, business
Abstract: Idiopathic pulmonary fibrosis (IPF) is a chronic, fatal disease with high mortality and poor prognosis. It is characterized by a gradual decline in lung function, and there are currently no effective therapeutic methods. Folate is a water-soluble B vitamin that plays an important role in one-carbon transfer reactions, nucleic acid biosynthesis and methylation reactions. Studies have shown that folate may participate in the pathogenesis of IPF through ways of DNA repair, methylation, and reactive oxygen species. Macrophage activation is an important early cellular event in IPF and the inflammatory response that they trigger is a significant feature of IPF. Folate receptor-β (FR-β) is a cell surface glycosylphosphatidylinositol-anchored glycoprotein that can mediate the unidirectional transport of folate into cells. And it has been found in previous studies that FR-β is usually overexpressed on activated macrophages, but the expression on resting macrophages was undetectable. Therefore, targeting FR-β may have potential value for the early diagnosis and therapy of IPF. Our goal is to highlight the biological role of folate and FR-β in IPF, and we hope to provide helpful insight for clinical treatment strategies.
Published: 2020

16. Estimations of benchmark dose for urinary metabolites of coke oven emissions among workers

Author: Sihua Wang, Pengpeng Wang, Xiaoran Duan, Kaili Zou, Yanbin Wang, Wu Yao, Mahdieh Danesh Yazdi, Yongli Yang, Jennifer D. Stowell, and Wei Wang
Subjects: Coke oven, 010504 meteorology & atmospheric sciences, business.industry, Health, Toxicology and Mutagenesis, Urinary system, Physiology, General Medicine, 010501 environmental sciences, Toxicology, 01 natural sciences, Pollution, Confidence interval, Peripheral blood, Exposure group, Medicine, Biomarker (medicine), business, 0105 earth and related environmental sciences
Abstract: Coke oven emissions (COEs), usually composed of polycyclic aromatic hydrocarbons (PAHs) and so on, may alter the relative telomere length of exposed workers and have been linked with adverse health events. However, the relevant biological exposure limits of COEs exposure has not been evaluated from telomere damage. The purpose of this study is to estimate benchmark dose (BMD) of urinary PAHs metabolites from COEs exposure based on telomere damage with RTL as a biomarker. A total of 544 exposed workers and 238 controls were recruited for participation. High-performance liquid chromatography and qPCR were used to detect concentrations of urinary mono-hydroxylated PAHs and relative telomere length in peripheral blood leukocytes for all subjects. The benchmark dose approach was used to estimate benchmark dose (BMD) and its lower 95% confidence limit (BMDL) of urinary OH-PAHs of COEs exposure based on telomere damage. Our results showed that telomere length in the exposure group (0.75 (0.51, 1.08)) was shorter than that in the control group (1.05 (0.76,1.44))(P 0.05), and a dose-response relationship was shown between telomere damage and both 1-hydroxypyrene and 3-hydroxyphenanthrene in urine. The BMDL of urinary 1-hydroxypyrene from the optimal model for telomere damage was 1.96, 0.40, and 1.01 (μmol/mol creatinine) for the total, males, and females group, respectively. For 3-hydroxyphenanthrene, the BMDL was 0.94, 0.33, and 0.49 (μmol/mol creatinine) for the total, males, and females. These results contribute to our understanding of telomere damage induced by COEs exposure and provide a reference for setting potential biological exposure limits.
Published: 2020

17. Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China

Author: Jimin Sun, Haixia Wu, Keke Liu, Xiaobo Liu, Liang Lu, Wen-Wu Yao, Qiyong Liu, Jing Li, Jun Wang, Lei Xu, Xiang Hou, Rachel Lowe, Jianping Li, Xiupin Song, Yuan Gao, Chutian Zhang, Shaowei Sang, Zhoupeng Ren, Yiguan Wang, and Ruiyun Li
Subjects: Mainland China, China, Climate Change, Rain, 05 Environmental Sciences, Climate change, Distribution (economics), 010501 environmental sciences, Toxicology, 01 natural sciences, Biochemistry, Population density, Disease Outbreaks, Dengue fever, Dengue, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Socioeconomics, 0105 earth and related environmental sciences, General Environmental Science, Ecological niche, business.industry, Outbreak, 06 Biological Sciences, medicine.disease, Geography, Seasons, 03 Chemical Sciences, business
Abstract: Objective To investigate the relationship between climate variables, East Asian summer monsoon (EASM) and large outbreaks of dengue in China. Methods We constructed ecological niche models (ENMs) to analyse the influence of climate factors on dengue occurrence and predict dengue outbreak areas in China. Furthermore, we formulated a generalised additive model (GAM) to quantify the impact of the EASM on dengue occurrence in mainland China from 1980 to 2016. Results Mean Temperature of Coldest Quarter had a 62.6% contribution to dengue outbreaks. Southern China including Guangdong, Guangxi, Fujian and Yunnan provinces are more vulnerable to dengue emergence and resurgence. In addition, we found population density had a 68.7% contribution to dengue widely distribution in China using ENMs. Statistical analysis indicated a dome-shaped association between EASM and dengue outbreak using GAM, with the greatest impact in the South-East of China. Besides, there was a positive nonlinear association between monthly average temperature and dengue occurrence. Conclusion We demonstrated the influence of climate factors and East Asian summer monsoon on dengue outbreaks, providing a framework for future studies on the association between climate change and vector-borne diseases.
Published: 2020

18. Benchmark dose estimation for coke oven emissions based on oxidative damage in Chinese exposed workers

Author: Pengpeng Wang, Hui Zhang, Wei Wang, Xiaoran Duan, Liuhua Shi, Yanbin Wang, Sihua Wang, Yongli Yang, Wu Yao, and Kaili Zou
Subjects: Adult, Male, Coke oven, Health, Toxicology and Mutagenesis, 0211 other engineering and technologies, 02 engineering and technology, 010501 environmental sciences, Plasma biomarkers, medicine.disease_cause, 01 natural sciences, Article, Oxidative damage, Exposure level, Asian People, Environmental health, Occupational Exposure, Dose estimation, Medicine, Humans, Occupational lung disease, Polycyclic Aromatic Hydrocarbons, Coke, 0105 earth and related environmental sciences, General Environmental Science, Waste Products, 021110 strategic, defence & security studies, Pyrenes, business.industry, Public Health, Environmental and Occupational Health, General Medicine, Middle Aged, medicine.disease, Pollution, Occupational Diseases, Benchmarking, Oxidative Stress, General Earth and Planetary Sciences, Female, Occupational exposure, business, Oxidative stress, Biomarkers, DNA Damage
Abstract: Coke oven emissions (COEs) can cause oxidative stress of the body, which in turn induces the occupational lung disease and also increases the risk of other diseases. COEs are the major occupational hazard factors for coke oven workers. The aim of the study is to explore the influences of COEs exposure on oxidative damage and estimate the benchmark dose (BMD) of COEs. A group of 542 workers exposed to COEs and 237 healthy controls from the same city were recruited in this study. The corresponding measuring kits were used to determine the plasma biomarkers of oxidative damage level. Generalized linear models and trend tests were used to analyze the relationship between COEs exposure and biomarkers. EPA Benchmark Dose Software was performed to calculate BMD and the lower confidence limit of the benchmark dose (BMDL) of COEs exposure. A significant association was observed between COEs exposure and oxidative damage with T-AOC as a biomarker. The BMD of COEs exposure were 2.83 mg/m3 and 1.39 mg/m3 for males and females, respectively, and the corresponding BMDL were 1.47 mg/m3 and 0.75 mg/m3, respectively. Our results suggested that the exposure level of COEs below the current national occupational exposure limits (OELs) would induce oxidative damage, and the OEL of COEs based on the T-AOC damage was suggested at 0.03 mg/m3 in this study.
Published: 2020

19. Spacecraft Multifunctional Micro-vibration Environment Laboratory

Author: Wang Lei, Xinming Li, Bo Wei, Yan Tingfei, Wu Yao, Fang Guiqian, and Jungang Zhang
Subjects: Spacecraft, Computer science, business.industry, Environmental tests, Process (computing), Vibration, Soundproofing, Background noise, Vibration isolation, Physics::Atomic and Molecular Clusters, Satellite, Physics::Chemical Physics, Aerospace engineering, business
Abstract: The problem of orbital micro-vibration has been troubling the development of high-precision spacecraft. Experimental research on on-orbit micro-vibration during the satellite development stage is a very effective method to solve this problem. In order to carry out the ground micro-vibration test of spacecraft with higher accuracy, this paper introduces a micro-vibration laboratory designed in AIT, which has excellent performance of vibration isolation and sound insulation. The background noise index reaches 30 dBA, and the background vibration index reaches 10−5 g. At the same time, the laboratory is designed according to the satellite development process, which can be used to conduct all kinds of micro-vibration environmental tests in the satellite development cycle under the same background environment.
Published: 2020

20. Bidirectional Influence of the COVID-19 Pandemic Lockdowns on Health Behaviors and Quality of Life among Chinese Adults

Author: Xiuqiang Wang, Yanxiang Yang, Sulin Cheng, Zan Gao, Si Man Lei, Boyi Zhang, Wu Yao, and Shenglong Le
Subjects: Male, Health, Toxicology and Mutagenesis, Health Behavior, lcsh:Medicine, physical activity, elämänlaatu, ruokavaliot, pandemiat, 0302 clinical medicine, Quality of life, Surveys and Questionnaires, sedentary behavior, Pandemic, Medicine, 030212 general & internal medicine, Young adult, Sedentary behavior, Quarantine, Female, Coronavirus Infections, fyysinen aktiivisuus, Adult, hyvinvointi (terveydellinen), Adolescent, Coronavirus disease 2019 (COVID-19), Pneumonia, Viral, Physical activity, Article, uni (lepotila), Betacoronavirus, Young Adult, 03 medical and health sciences, Asian People, Environmental health, Humans, sleep, Exercise, Pandemics, eristys (eristäminen muista), Sleep quality, SARS-CoV-2, business.industry, pandemic, lcsh:R, Public Health, Environmental and Occupational Health, Chinese adults, COVID-19, Coronavirus, terveyskäyttäytyminen, Quality of Life, business, diet, 030217 neurology & neurosurgery
Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic has created challenges that have caused profound changes in health behaviors. This study aimed to explore how COVID-19 is affecting the health-related quality of life (QoL) among Chinese adults. Methods: The data of health-related behaviors and QoL were collected via online surveys from 2289 adults (mean age = 27.8 &plusmn, 12 years) who had been isolated at home for an average of 77 days. Results: More than 50% of the respondents reported that their time engaged in daily physical activity (PA) decreased, while sedentary behavior (SB) time increased compared with that before the lockdown. Only 20% of the respondents reported engaging in moderate-to-vigorous PA, 23% of adults reported changed their diets to be healthier, and 30% reported consuming more vegetables, fruits, and milk products than before home-isolation. During home-isolation, 75.2% of the adults rated their sleep quality as very good, and 65% reported that they were satisfied with their QoL. Sleep quality mediated the relationship between PA and QoL. Conclusion: The two-to-three-month home-isolation has had mixed effects on adult health behaviors in China. The participants were found to have focused more on their eating quality and patterns, which had a positive influence on their QoL. However, people should be encouraged to exercise at home with limited space to maintain a generally healthy lifestyle during a prolonged quarantine.
Published: 2020

21. Downregulation of exosomal let-7a-5p in dust exposed- workers contributes to lung cancer development

Author: Wu Yao, Changfu Hao, Yiping Li, Lin Zhang, Lei Bao, Ruonan Zhai, Di Wang, and Jianhui Zhang
Subjects: 0301 basic medicine, Oncology, Male, medicine.medical_specialty, Lung Neoplasms, Down-Regulation, Exosomes, Exosome, 03 medical and health sciences, 0302 clinical medicine, Downregulation and upregulation, Internal medicine, Occupational Exposure, microRNA, medicine, Biomarkers, Tumor, Humans, Lung cancer, Survival analysis, lcsh:RC705-779, Lung, business.industry, Pneumoconiosis, Research, Let-7a-5p, Dust, lcsh:Diseases of the respiratory system, medicine.disease, Dust exposure, MicroRNAs, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Adenocarcinoma, business
Abstract: Background Either chronic or acute exposure to dust particles may lead to pneumoconiosis and lung cancer, and lung cancer mortality among patients diagnosed with pneumoconiosis is increasing. Utilizing genome-wide sequencing technology, this study aimed to identify methods to decrease the number of patients with pneumoconiosis who die from lung cancer. Methods One hundred fifty-four subjects were recruited, including 54 pneumoconiosis patients and 100 healthy controls. Exosomes were isolated from the venous blood of every subject. Distinctive miRNAs were identified using high throughput sequencing technology, and bioinformatics analysis predicted target genes involved in lung cancer as well as their corresponding biological functions. Moreover, cross-cancer alterations of genes related to lung cancer were investigated, and survival analysis was performed using 2437 samples with an average follow-up period of 49 months. Results Let-7a-5p was revealed to be downregulated by 21.67% in pneumoconiosis. Out of the 683 let-7a-5p target genes identified from bioinformatics analysis, four genes related to five signaling pathways were confirmed to be involved in lung cancer development. Alterations in these four target genes were then explored in 4105 lung cancer patients, and BCL2L1 and IGF1R were demonstrated to be aberrantly expressed. Survival analysis further revealed that high expression of BCL2L1 corresponded to reduced survival of lung cancer patients (HR (95%CI) = 1.75(1.33~2.30)), while patient survival time was unaffected by expression of IGF1R (HR (95%CI) = 1.15 (0.98~1.36)). Conclusions In patients with lung adenocarcinoma, simultaneous downregulation of exosomal let-7a-5p and elevated expression of BCL2L1 are useful as predictive biomarkers for poor survival.
Published: 2018

22. Comparison of Gingival Troughing by Laser and Retraction Cord

Author: Cui Huang, Hom-Lay Wang, Jiang-Wu Yao, and Xian Tao
Subjects: Adult, Male, China, Cord, Adolescent, genetic structures, Treatment outcome, Gingiva, Dentistry, Lasers, Solid-State, Gingivectomy, law.invention, Young Adult, 030207 dermatology & venereal diseases, 03 medical and health sciences, Gingival Retraction Techniques, 0302 clinical medicine, law, medicine, Humans, Gingival Recession, Gingival recession, Anterior teeth, Wound Healing, business.industry, Retraction cord, 030206 dentistry, Laser, eye diseases, Treatment Outcome, surgical procedures, operative, Computer-Aided Design, Periodontics, Female, Laser Therapy, sense organs, Lasers, Semiconductor, Oral Surgery, medicine.symptom, business
Abstract: This study was aimed at comparing the most common two methods for gingival troughing: presaturated cord and lasers (including diode, Nd:YAG, and Er:YAG). A total of 108 anterior teeth (58 maxillary and 50 mandibular) in 50 patients were included in this study. Gingival treatment was carried out in the following four groups: presaturated cord, diode laser, Nd:YAG laser, and Er:YAG laser. The gingival width and gingival recession (GR) were measured at different times (at the time of treatment, after 1 week, and after 4 weeks). The presaturated cord resulted in significantly higher (P < .05) GR than lasers and narrower gingival sulci. Er:YAG laser resulted in the quickest and most uneventful wound healing when compared to diode and Nd:YAG lasers.
Published: 2018

23. Design of phase type computer-generated- hologram for intelligent display

Author: 张梦妮 Zhang Meng-ni, 张强 Zhang Qiang, 蒋世磊 Jiang Shilei, 王震 Wang Zhen, 武耀霞 Wu Yao-xia, 张锦 Zhang jin, 弥谦 Mi Qian, and 孙国斌 Sun Guobin
Subjects: Materials science, Optics, law, business.industry, Signal Processing, Holography, Phase (waves), Type (model theory), business, Instrumentation, Electronic, Optical and Magnetic Materials, law.invention
Published: 2018

24. Temperature measurement of blackbody using filter radiometer

Author: Yue Wen-long, Wu Yao, Yin Wanhong, Zhu Yinsheng, Li Siwei, Wu Pei, YU Dongyu, and Zhang Kui-jia
Subjects: Physics, Optics, Radiometer, business.industry, Filter (video), Black-body radiation, business, Temperature measurement, Atomic and Molecular Physics, and Optics
Published: 2018

25. Significantly enhanced energy storage performances and power density in (1 − x)BCZT-xSBT lead-free ceramics via synergistic optimization strategy

Author: Fei Yan, Cheng Shi, Guanglong Ge, Wu Yao, Jiwei Zhai, and Yongqi Wei
Subjects: Work (thermodynamics), Materials science, General Chemical Engineering, 02 engineering and technology, Dielectric, 010402 general chemistry, 01 natural sciences, Storage efficiency, Industrial and Manufacturing Engineering, Energy storage, symbols.namesake, Miniaturization, Environmental Chemistry, Ceramic, Power density, business.industry, General Chemistry, 021001 nanoscience & nanotechnology, 0104 chemical sciences, visual_art, visual_art.visual_art_medium, symbols, Optoelectronics, 0210 nano-technology, business, Raman spectroscopy
Abstract: Under the burgeoning call towards miniaturization and environmental-friendliness, it is of paramount importance in developing lead-free dielectrics for energy storage applications. However, obstacles stand out concerning to the incomprehensive energy storage properties of the lead-free dielectric ceramics. Here, a synergistic optimization strategy is proposed involving the Sr0.7Bi0.2TiO3 (SBT) modified Ba0.85Ca0.15Zr0.1Ti0.9O3 (BCZT), where the as-obtained (1-x)BCZT-xSBT ceramics exhibit an excellent recoverable energy storage density (4.02 J/cm3) with high energy storage efficiency (93.49%) at high electric field of 480 kV/cm. Meanwhile, ultra-fast discharge time (t0.9) of 103 ns and high power density (PD) of 237.83 MW/cm3 have been concurrently realized. Temperature-dependent Raman spectroscopy and piezo-response force microscopy (PFM) are conducted to reveal the mechanisms for the superior properties achieved, which ascertain the quick reversibility of domains and relaxor ferroelectric behaviors in the (1-x)BCZT-xSBT ceramics. This work underpins the significance of synergistic optimization in enhancing the energy storage properties for lead-free dielectrics and promoting their applications in energy storage devices.
Published: 2021

26. Fine-Tuning the Quasi-3D Geometry: Enabling Efficient Nonfullerene Organic Solar Cells Based on Perylene Diimides

Author: Linhua Zhang, Di Zeng, Ming Shao, Xiang Cai, Xiaolu Zhang, Wu Yao, Xiang Gao, Jiashun Duan, and Zhitian Liu
Subjects: Biphenyl, Fine-tuning, Materials science, Organic solar cell, business.industry, Charge (physics), 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, 0104 chemical sciences, chemistry.chemical_compound, chemistry, Optoelectronics, General Materials Science, 3d geometry, 0210 nano-technology, business, Perylene
Abstract: The geometries of acceptors based on perylene diimides (PDIs) are important for improving the phase separation and charge transport in organic solar cells. To fine-tune the geometry, biphenyl, spiro-bifluorene, and benzene were used as the core moiety to construct quasi-three-dimensional nonfullerene acceptors based on PDI building blocks. The molecular geometries, energy levels, optical properties, photovoltaic properties, and exciton kinetics were systematically studied. The structure-performance relationship was discussed as well. Owing to the finest phase separation, the highest charge mobility and smallest nongeminate recombination, the power conversion efficiency of nonfullerene solar cells using PDI derivatives with biphenyl core (BP-PDI
Published: 2017

27. Automated detection and segmentation of concrete air voids using zero-angle light source and deep learning

Author: Kaixi Xue, Wang Changying, Wei Yongqi, Zhenhua Wei, Youcheng Hong, and Wu Yao
Subjects: Void (astronomy), Generalization, Computer science, business.industry, Deep learning, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Boundary (topology), Pattern recognition, Building and Construction, Zero (linguistics), Control and Systems Engineering, Robustness (computer science), Path (graph theory), Segmentation, Artificial intelligence, business, Civil and Structural Engineering
Abstract: The detection and segmentation of air voids in concrete has received significant attention because they are critically important for determining concrete properties and performance. However, previous methods have shown low efficiency and accuracy in void segmentation. Particularly, it remains difficult to detect and segment irregularly shaped voids, especially those that are connected and have indistinct boundary features. This study presents a zero-angle light source to clearly capture features of different types of voids that are otherwise hard to identify using conventional illumination schemes, thus allowing for accurate segmentation of complex air voids by an instance segmentation model using a path aggregation network (PANet). The PANet model significantly outperforms existing semantic segmentation algorithms in detecting air voids, especially small and connected ones. Furthermore, we also show the robustness and generalization ability of this model for air void segmentation and analysis by applying it to different cement-based construction materials.
Published: 2021

28. Mapping the distribution of tick-borne encephalitis in mainland China

Author: Kun Liu, Shengjie Lai, Hang Zhou, Yang Yang, Hong-Wu Yao, Xin-Lou Li, Yu Li, Wu-Chun Cao, Ruo-Xi Sun, Di Mu, Wenwu Yin, Li-Qun Fang, Liping Wang, and Hongjie Yu
Subjects: Adult, Male, 0301 basic medicine, Mainland China, China, medicine.medical_specialty, Adolescent, 030231 tropical medicine, Distribution (economics), Forests, Ixodes persulcatus, Microbiology, Encephalitis Viruses, Tick-Borne, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Altitude, Risk Factors, Environmental protection, Epidemiology, Prevalence, medicine, Animals, Humans, Child, Socioeconomics, Disease burden, Aged, Ixodes, biology, business.industry, Incidence, Infant, Newborn, Tick-borne encephalitis, Infant, Middle Aged, biology.organism_classification, medicine.disease, 030104 developmental biology, Infectious Diseases, Child, Preschool, Insect Science, Female, Parasitology, business, Animal Distribution, Encephalitis, Tick-Borne
Abstract: Tick-borne encephalitis (TBE) has become an increasing public health threat in recent years, ranging from Europe, through far-eastern Russia to Japan and northern China. However, the neglect of its expansion and scarce analyses of the dynamics have made the overall disease burden and the risk distribution of the disease being unclear in mainland China. In this study, we described epidemiological characteristics of 2117 reported human TBE cases from 2006 to 2013 in mainland China. About 99% of the cases were reported in forest areas of northeastern China, and 93% of reported infections occurred during May-July. Cases were primarily male (67%), mostly in 30-59 years among all age-gender groups. Farmers (31.6%), domestic workers (20.1%) and forest workers (17.9%) accounted for the majority of the patients, and the proportions of patients from farmers and domestic workers were increasing in recent years. The epidemiological features of TBE differed slightly across the affected regions. The distribution and features of the disease in three main endemic areas of mainland China were also summarized. Using the Boosted Regression Trees (BRT) model, we found that the presence of TBE was significantly associated with a composite meteorological index, altitude, the coverage of broad-leaved forest, the coverage of mixed broadleaf-conifer forest, and the distribution of Ixodes persulcatus (I. persulcatus) ticks. The model-predicted probability of presence of human TBE cases in mainland China was mapped at the county level. The spatial distribution of human TBE in China was largely driven by the distributions of forests and I. persulcatus ticks, altitude, and climate. Enhanced surveillance and intervention for human TBE in the high-risk regions, particularly on the forest areas in north-eastern China, is necessary to prevent human infections.
Published: 2017

29. Application of Traditional Chinese Medicine in Treatment of Atrial Fibrillation

Author: Wenrui Jiang, Yan Dong, Kui-Wu Yao, Jie Wang, and Jiangquan Liao
Subjects: medicine.medical_specialty, Traditional medicine, business.industry, MEDLINE, Alternative medicine, Cardiac arrhythmia, Atrial fibrillation, Review Article, lcsh:Other systems of medicine, Traditional Chinese medicine, 030204 cardiovascular system & hematology, lcsh:RZ201-999, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Complementary and alternative medicine, 030220 oncology & carcinogenesis, Acupuncture, medicine, Adverse effect, business, Intensive care medicine, Stroke
Abstract: Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is related to many cardiac and cerebral vascular diseases, especially stroke. It can therefore increase cardiovascular mortality and all-cause death. The current treatments of AF remain to be western drugs and radiofrequency ablation which are limited by the tolerance of patients, adverse side effects, and high recurrence rate, especially for the elderly. On the contrary, traditional Chinese medicine (TCM) with long history of use involves various treatment methods, including Chinese herbal medicines (CHMs) or bioactive ingredients, Chinese patent medicines, acupuncture, Qigong, and Tai Chi Chuan. With more and more researches reported, the active roles of TCM in AF management have been discovered. Then it is likely that TCM would be effective preventive means and valuable additional remedy for AF. The potential mechanisms further found by numerous experimental studies showed the distinct characteristics of TCM. Some CHMs or bioactive ingredients are atrial-selective, while others are multichannel and multifunctional. Therefore, in this review we summarized the treatment strategies reported in TCM, with the purpose of providing novel ideas and directions for AF management.
Published: 2017

30. Assessment of Peri-implant Soft Tissue Adaptive Pressure and Time After Provisional Restorations

Author: Hom-Lay Wang and Jiang-Wu Yao
Subjects: Contouring, business.industry, Single implant, medicine.medical_treatment, Dental prosthesis, Gingiva, Dentistry, Soft tissue, Single tooth, stomatognathic diseases, Dental Restoration, Temporary, Dental Implants, Single-Tooth, stomatognathic system, Color changes, medicine, Pressure, Periodontics, Implant, Dental Prosthesis, Implant-Supported, Oral Surgery, business, Dental restoration
Abstract: Using interim restorations to remodel the peri-implant gingiva contour has been a common procedure in esthetic implant treatment. During the interim restoration delivery, the pressure between the restoration and gingiva typically causes ischemia. Adequate restoration should allow the tissue to recover from ischemia over a certain time. To assess the time needed for peri-implant soft tissue recovery, interim restorations were delivered on 25 single implant sites 2 weeks after stage-two surgery, and the gingiva appearance changes after delivery were recorded for 15 minutes using a video camera. Gingiva color changes along the time were measured and analyzed. The color differences between peri-implant mucosa at 10 min and 0 min, as well as between adjacent tooth gingiva, were all within a clinically acceptable range of color difference. The adaptive pressure technique by two-stage contouring exhibited an optimal peri-implant soft tissue profile within 10 minutes of the adaptive time.
Published: 2019

31. Traditional village rural landscape construction

Author: Wu Yao and Zhou Junling
Subjects: Geography, Work (electrical), business.industry, Sustainability, Humanity, Geomancy, Environmental ethics, Mode of production, Rural area, Landscape design, business, Practice research
Abstract: Under the impact of the modern culture, the traditional rural culture, and long history of folk customs from erosion, people often ignore the local and folk of the plain beautiful landscape. How to get the perfect combination of art, garden art and country create a nation’s own design work, both leisure and life function, became new direction of researches.By the Lingnan traditional rural landscape design theory and practice research, reduction and update of “nature and humanity”, the relationship between human, nature, people, and serene, beautiful and peaceful customs, geomantic aesthetics culture is closely related to the rural ecological mode of production and rural life and so on, the derive from the profound traditional culture nutrients, this will provide the countryside cultural reconstruction in our country with solid foundation, thus guide to new rural construction with Chinese characteristics. In addition, through the rustic, pastoral and “integration of nature and man” rural landscape, the wisdom of ecological cycle inherited from traditional villages based on respect for nature and integration is applied to the landscape design of traditional villages in Lingnan.
Published: 2019

32. Effectiveness and safety of Chinese herbal medicine xuanbi antong granules for the treatment of borderline coronary lesions: study protocol for a randomised, double-blinded, placebo-controlled, multicentre clinical trial

Author: Zhenpeng Zhang, Mei Han, Yi Li, Fei Lin, Kui-Wu Yao, Qingya Guan, Jun Li, Mingyan Huang, Chao Liu, Xinhui He, Haoqiang He, Yongmei Liu, Yuqing Zhang, Jie Wang, Xingjiang Xiong, Qing Zhao, and Guang Chen
Subjects: Adult, Male, medicine.medical_specialty, Acute coronary syndrome, borderline coronary lesions, lcsh:Medicine, Coronary Disease, Placebo, law.invention, Angina, Randomized controlled trial, Double-Blind Method, law, Informed consent, Internal medicine, medicine, Protocol, Humans, Multicenter Studies as Topic, Aged, Randomized Controlled Trials as Topic, medicine.diagnostic_test, business.industry, lcsh:R, General Medicine, Middle Aged, medicine.disease, Plaque, Atherosclerotic, Clinical trial, Stenosis, Angiography, Complementary Medicine, Chinese herbal medicine, business, randomised controlled trial, Drugs, Chinese Herbal
Abstract: IntroductionAs the early stage of coronary heart disease (CHD), borderline coronary lesion (BCL) is defined as a 30%–70% diameter stenosis. Previous studies have demonstrated that BCL may progress to acute coronary syndrome easily. However, routine medications available for the treatments of BCL have some limitations. Xuanbi antong granule (XAG) has been used for the treatment of BCL in China for many years. Previous studies have shown that XAG has effectiveness in improving clinical symptoms and quality of life in patients with CHD. This study aims to evaluate the effectiveness and safety of XAG in patients with BCL.Methods and analysisThis is a multicentre, randomised, double-blinded, placebo-controlled clinical trial. A total of 300 participants will be randomly assigned to the intervention group and the placebo group. Based on routine medications, the intervention group will be treated with XAG and the placebo group will be treated with XAG placebo. All participants will receive a 6-month treatment and then be followed-up for another 6 months. The primary outcomes are the changes of target plaque characteristics (including target plaque volume, degree of stenosis, CT value and calcification score) measured by dual source CT angiography. The secondary outcomes include blood lipid indicators, efficacy of angina symptoms, Seattle Angina Questionnaire, high-sensitivity C-reactive protein and occurrence of major adverse cardiac events. All the data will be recorded in electronic case report forms and analysed by SPSS V.20.0.Ethics and disseminationThis study has been approved by Research Ethics Committee of Guang’anmen Hospital, China Academy of Chinese Medical Sciences in Beijing, China (No. 2017–083-KY-01). Written informed consent will be obtained from all participants. The results of this study will be disseminated to the public through academic conferences and peer-reviewed journals.Trial registration numberChiCTR-IOR-17013189; Pre-results.
Published: 2019

33. Reciprocal associations between job strain and depression: A 2-year follow-up study from the Survey of Health, Ageing and Retirement in Europe

Author: Ya-Ke Lu, Ya-Mei Qiao, Wu Yao, Hui-Xin Wang, Zhen Yan, and Jin-Jing Pei
Subjects: Male, Aging, Job control, Comorbidity, Logistic regression, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, Behavioral Neuroscience, Occupational Stress, 0302 clinical medicine, Surveys and Questionnaires, older workers, Prevalence, Medicine, Humans, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Depression (differential diagnoses), Survey of Health, Ageing and Retirement in Europe, Original Research, Depressive Disorder, Retirement, job strain, Job strain, business.industry, 05 social sciences, Multilevel model, Middle Aged, Health Surveys, Europe, Logistic Models, 8. Economic growth, depression, Population study, Female, business, Psychosocial, 030217 neurology & neurosurgery, Demography, Follow-Up Studies
Abstract: Background A growing number of people suffered from depression. This study examined the depression prevalence in workers across 10 European countries plus Israel and the reciprocal associations between job strain and depression. Methods The study population consisted of 7,879 workers aged 50–63 years at baseline (2004) from the Survey of Health, Ageing, and Retirement in Europe (SHARE). Job demands (physical or psychosocial) and job control variables were derived from the Job Content Questionnaire (JCQ). Two 4‐category job strains (physical and psychosocial) were obtained based on the cross‐tabulation of these dichotomized demands and control variables. There were 4,284 depression‐free, 3,259 high physical strain‐free and 3,195 high psychosocial strain‐free participants at baseline who were followed up for 2 years to detect incident depression, high physical job strain, or high psychosocial strain, respectively. The reciprocal associations between job strain and depression were analyzed by multivariate logistic regression and multivariate multilevel logistic regression adjusting for potential confounders. Results The prevalence of depression varied from the lowest 12.5% in Germany to the highest 27.2% in France. Compared to individuals with low strain, a significantly higher risk of depression were found in individuals with high physical strain (OR = 1.39) and high psychosocial strain (OR = 1.55), after adjusting for potential confounders. Depression at baseline was not significantly associated with subsequent high job strain. Similar results were observed from multilevel models that took into consideration of the potential country‐level influences. Conclusions The prevalence of depression varies across countries in Europe. Avoiding high job strain may be an effective preventive strategy to prevent depression epidemic.
Published: 2019

34. miR-let-7d attenuates EMT by targeting HMGA2 in silica-induced pulmonary fibrosis

Author: Changfu Hao, Baoyong Hua, Xinghao Yu, Yiping Li, Wu Yao, Di Wang, Ruonan Zhai, Hui Fan, and Lei Bao
Subjects: A549 cell, Gene knockdown, biology, business.industry, General Chemical Engineering, Inflammation, 02 engineering and technology, General Chemistry, respiratory system, 010402 general chemistry, 021001 nanoscience & nanotechnology, medicine.disease, 01 natural sciences, 0104 chemical sciences, HMGA2, Fibrosis, Silicosis, microRNA, Pulmonary fibrosis, medicine, Cancer research, biology.protein, medicine.symptom, 0210 nano-technology, business
Abstract: Silicosis is a serious occupational disease characterized by pulmonary chronic inflammation and progressive fibrosis. Epithelial-mesenchymal transition (EMT) of alveolar epithelial cells plays a vital role in silicosis. Recent studies discovered a variety of microRNAs (miRNAs) participating in fibrotic diseases. Here, we aimed to explore the function and mechanism of miRNA let-7d in the EMT process in silica-induced alveolar epithelial cells. To detect whether let-7d and its target HMGA2 were involved in silica-induced EMT, we established a silicosis mouse model and found that let-7d was down-regulated and HMGA2 was up-regulated in the silica-treated group. Then we applied an in vitro co-culture system to imitate the EMT process in A549 cells after silica treatment. The down-regulation of let-7d and up-regulation of HMGA2 were also observed in vitro. The knockdown of HMGA2 significantly inhibited the silica-induced EMT. Furthermore, we found that overexpression of let-7d could reduce the expression of HMGA2 and consequently inhibited the silica-induced EMT, whereas inhibition of let-7d increased the expression of HMGA2 and promoted the silica-induced EMT. In conclusion, let-7d negatively regulated silica-induced EMT and inhibited silica-induced pulmonary fibrosis, which might be partially realized by directly binding to HMGA2. Our data suggested that miRNA let-7d might have a potential protective effect in the fibrotic process and become a new therapeutic target for silicosis or other fibrotic diseases.
Published: 2019

35. Research on Big Data Application in the field of shipping operation and management

Author: Jiu-wu Yao and Zhu Liu
Subjects: Field (physics), business.industry, Big data, Environmental science, business, Marine transportation, Marine engineering
Published: 2019

36. Influence of damage degree on self-healing of concrete

Author: Wenhui, Zhong and Wu, Yao
Subjects: Concrete -- Properties -- Composition -- Testing, Business, Construction and materials industries, Testing, Composition, Properties
Abstract: Abstract The paper presents experimental results of self-healing process of concrete damaged at different ages. Essentially, the self-healing of damaged concrete is processes of crack closing with re-hydration products of [...]
Published: 2008

37. A Method of Chinese Characters Changing from Regular Script to Semi-Cursive Scrip Described by Track and Point Set

Author: Yi Li, Wu Yao, and Jie Jiang
Subjects: Scrip, business.industry, Computer science, Track (disk drive), Point set, computer.software_genre, Writing style, Production (computer science), Artificial intelligence, Chinese characters, business, Cursive, computer, Natural language processing, TRACE (psycholinguistics)
Abstract: In order to support the production or generation of personalized fonts more efficiently, this paper proposes a method of using track and point set to describe the characters of the Chinese characters changed from Regular Script to Semi-cursive Scrip. With reference to the characteristics of Regular script and Semi-cursive script, the trace and point set are used to calculate the strokes, components, and their relationships of the body script to determine whether it is necessary to create a hairspring or stroke and deformation of a part between the strokes. Experiments have shown that under the principle of maintaining the original writing style of the user, the method of changing from Regular Script to Semi-cursive can support the generation of personalized Semi-cursive scrip fonts.
Published: 2018

38. Linear and nonlinear models for predicting fish bioconcentration factors for pesticides

Author: Xuan Yang, Yingbiao Zhang, Chun Xie, Xuejie Yuan, Ting Zhang, Wu Yao, Jintao Yuan, Shuling Yu, Jinfang Sun, Yunyuan Cao, and Xingchen Yu
Subjects: Engineering, Environmental Engineering, Health, Toxicology and Mutagenesis, Quantitative Structure-Activity Relationship, Bioconcentration, 010501 environmental sciences, 01 natural sciences, Robustness (computer science), Molecular descriptor, Linear regression, Statistics, Animals, Environmental Chemistry, Pesticides, 0105 earth and related environmental sciences, business.industry, Fishes, Public Health, Environmental and Occupational Health, Linear model, Reproducibility of Results, General Medicine, General Chemistry, Pollution, 0104 chemical sciences, 010404 medicinal & biomolecular chemistry, Projection pursuit regression, Nonlinear Dynamics, Test set, Outlier, Linear Models, business, Software
Abstract: This work is devoted to the applications of the multiple linear regression (MLR), multilayer perceptron neural network (MLP NN) and projection pursuit regression (PPR) to quantitative structure-property relationship analysis of bioconcentration factors (BCFs) of pesticides tested on Bluegill (Lepomis macrochirus). Molecular descriptors of a total of 107 pesticides were calculated with the DRAGON Software and selected by inverse enhanced replacement method. Based on the selected DRAGON descriptors, a linear model was built by MLR, nonlinear models were developed using MLP NN and PPR. The robustness of the obtained models was assessed by cross-validation and external validation using test set. Outliers were also examined and deleted to improve predictive power. Comparative results revealed that PPR achieved the most accurate predictions. This study offers useful models and information for BCF prediction, risk assessment, and pesticide formulation.
Published: 2016

39. Predicting the biological activities of triazole derivatives as SGLT2 inhibitors using multilayer perceptron neural network, support vector machine, and projection pursuit regression models

Author: Yali Wang, Yi Zhang, Shuling Yu, Ying Gan, Jiahua Shi, Jintao Yuan, Wu Yao, Shufang Gao, Ting Zhang, and Liu Yang
Subjects: 0301 basic medicine, Quantitative structure–activity relationship, Computer science, Machine learning, computer.software_genre, 01 natural sciences, Analytical Chemistry, 03 medical and health sciences, Spectroscopy, Artificial neural network, 010405 organic chemistry, business.industry, Process Chemistry and Technology, Pattern recognition, Perceptron, 0104 chemical sciences, Computer Science Applications, Support vector machine, 030104 developmental biology, Projection pursuit regression, Test set, Triazole derivatives, Artificial intelligence, business, Nonlinear regression, computer, Software
Abstract: Quantitative structure–activity relationship (QSAR) studies were performed in this work to predict the pIC50 of non-glycoside sodium-dependent glucose cotransporter-2 (SGLT2) inhibitors (46 triazole derivatives). Four descriptors were selected from the pool of DRAGON descriptors using the enhanced replacement method. Three nonlinear regression methods—multilayer perceptron neural network (MLP NN), support vector machine (SVM), and projection pursuit regression (PPR)—were then used to build the QSAR models. The performance of the obtained models was assessed through the cross-validation and external validation of the test set. PPR produced a better model than MLP NN and SVM with coefficients of determination of 0.962 and 0.871 and root mean square errors of 0.162 and 0.471 for the training and test sets, respectively. This study developed simple and efficient approaches to predict the pIC50 of triazole derivatives and provided some insights into their structural features for the development of more potential SGLT2 inhibitors.
Published: 2016

40. Application of thermal/structural/optical integrated analysis to ultraviolet lens of hyperspectral imaging spectrometer

Author: Xu Mingming, Xue Hui, Chen Sujuan, Chen Jiexiang, Jiang Yu, Si Fuqi, and Wu Yao
Subjects: Chemical imaging, Materials science, Spectrometer, business.industry, Imaging spectrometer, Hyperspectral imaging, medicine.disease_cause, Atomic and Molecular Physics, and Optics, law.invention, Lens (optics), Optics, law, Thermal, medicine, business, Ultraviolet
Published: 2016

41. Hybrid disorder carbon fiber cathode for high current pulsed electron beam emission

Author: Jian Lu, Wenhai Peng, Limin Zhao, Shengzhi Hao, Hao Liu, Shuyu Zhou, and Wu Yao
Subjects: Materials science, business.industry, Scanning electron microscope, General Physics and Astronomy, 02 engineering and technology, Surfaces and Interfaces, General Chemistry, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Microstructure, 01 natural sciences, Cathode, 0104 chemical sciences, Surfaces, Coatings and Films, law.invention, Magazine, Electrical resistance and conductance, law, Cathode ray, Optoelectronics, 0210 nano-technology, business, Electrical conductor, Beam (structure)
Abstract: Cathode plays a paramount function in high current pulsed electron beam (HCPEB). Herein, a novel design of cathode with hybrid short carbon fiber (SCF) and carbon fiber powder (CFP) was developed. The surface morphology of cathode with varied CFP additions was characterized by confocal laser scanning microscopy (CLSM), scanning electron microscopy (SEM) and atomic force microscope (AFM). Electrical property and electron beam emission property of different cathodes were investigated. Results revealed that the microstructure of the cathode presented disorder contact structure, the conductive network became denser and the micro-protrusions on the cathode surface were remarkably increased through the moderate addition of CFP. Notably, the cathode by adding 1.5 vol% of CFP manifested the least electrical resistance 1.2 Ω and showed the best electron beam emission performance with beam spot diameter 50 mm at a plateau duration 1.6 μs. Moreover, there was no obvious damage occurred on the surface of cathode (1.5 vol%) after 1000 electron beam emission, which exhibited long lifetime. This study provided an insight for the development of HCPEB cathode.
Published: 2020

42. Up-regulation of exosomal miR-125a in pneumoconiosis inhibits lung cancer development by suppressing expressions of EZH2 and hnRNPK

Author: Changfu Hao, Lin Zhang, Shuyin Duan, Youliang Zhao, Di Wang, Jianhui Zhang, Wei Guo, Wu Yao, and Jiangfeng Li
Subjects: 0301 basic medicine, Lung, business.industry, General Chemical Engineering, Pneumoconiosis, EZH2, General Chemistry, medicine.disease, Microvesicles, 03 medical and health sciences, 030104 developmental biology, medicine.anatomical_structure, Downregulation and upregulation, microRNA, medicine, Cancer research, Adenocarcinoma, Lung cancer, business
Abstract: Exposure to nanoparticles may lead to pneumoconiosis and lung cancer; however, whether patients suffering from pneumoconiosis also face a high risk of lung cancer has been under debate for decades. Recently, exosomes have been found to play critical roles in many diseases via intercellular cargo transportation, which has provided a new insight into the mechanistic investigation of nanoparticle-induced respiratory disorders. Herein, we isolated exosomes from the venous blood of patients with pneumoconiosis and healthy controls and then, we profiled the expression signatures of exosomal miRNAs using high-throughput sequencing technology. A total of 14 aberrantly expressed miRNAs were identified and used to process target gene prediction and functional annotation. Specially, miR-125a along with its target genes EZH2 and hnRNPK was found to play a significant role in the development of lung cancer. We then adopted a series of cellular experiments to validate the role of miR-125a in lung cancer. From the results obtained, we found that the suppression of EZH2 and hnRNPK by high levels of miR-125a inhibited the development of nanoparticle-induced lung adenocarcinoma, which contributed to the clarification of the relation between pneumoconiosis and lung cancer.
Published: 2018

43. 1070 Contribution of bone marrow-derived fibrocytes to silicosis

Author: Xinghao Yu, Jianhui Zhang, Wu Yao, Juan Li, Changfu Hao, Yiping Li, Weidong Wu, Yaqian Qu, Miao Zhang, Sanqiao Yao, Zhongzheng Yue, Huiting Chen, and Lei Bao
Subjects: Pathology, medicine.medical_specialty, Lung, business.industry, medicine.disease, Epithelium, Pathogenesis, medicine.anatomical_structure, Silicosis, Fibrosis, Fibrocyte, medicine, Bone marrow, business, Myofibroblast
Abstract: Introduction Exposure to free silica induces silicosis and its mechanism is less clear. Myofibroblast is regarded as a primary effector cell which is highly synthetic for collagen and lead to extensive fibrosis in lung. However, its origin is still controversial. Fibrocyte is one source of myofibroblast and proved to play a pivotal role in lung fibrogenesis, but whether fibrocyte participates in the process of silicosis is rarely reported. Therefore, the present study was designed to investigate the contribution of fibrocytes in silicosis. Method The rat model of silicosis was established by single intratracheal instillation of SiO 2 solution (100 mg/0.5 ml/rat). HE and Masson staining were used to evaluate the histopathology and collagen deposition. Flow cytometry and immunofluorescence were performed to detect number of fibrocytes and contribution to myofibroblasts. Results During experimental silicosis (from week 1, 2, 3, 6, 9, 12), the number of fibrocyte is markedly increased in peripheral blood and lung tissue by using flow cytometry.Further study found that CD45 + collagen I + fibrocyte is existed in lung tissue by using double-colour immunofluorescence analysis. Meanwhile, fibrocyte and lung type II epithelial cells contribute 15%˜35% and 9%˜21% of myofibroblasts, respectively. The trend analysis of different sources of myofibroblast during silicosis indicates that fibrocyte and lung type II epithelial cell derived myofibroblast play an important role at the early stage of silicosis (week 1 to week 3), while resident lung fibroblast-derived myofibroblast mainly do a predominant role during fibrosis formative period (week 6 to week 12). Discussion Taken together, these data suggest that fibrocyte is involved in the pathogenesis of silicosis and it may be useful as an indicator for disease activeity. Different sources of myofibroblasts play roles in different phases of silicosis.
Published: 2018

44. Interaction between polymorphisms in cell-cycle genes and environmental factors in regulating cholinesterase activity in people with exposure to omethoate

Author: Sihua Wang, Wu Yao, Liuxin Cui, Pengpeng Wang, Tuanwei Wang, Wei Wang, Yongli Yang, Xiaoran Duan, and Xiaolei Feng
Subjects: 0301 basic medicine, Physiology, interaction, Single-nucleotide polymorphism, Locus (genetics), generalized multifactor dimensionality reduction, 03 medical and health sciences, chemistry.chemical_compound, single nucleotide polymorphisms, Medicine, Omethoate, lcsh:Science, Gene, cholinesterase activity, Whole blood, Cholinesterase, omethoate, Multidisciplinary, Multifactor dimensionality reduction, biology, business.industry, Organophosphate, Genetics and Genomics, 030104 developmental biology, chemistry, biology.protein, lcsh:Q, business, Research Article
Abstract: Cholinesterase activity (ChA), the effective biomarker for organophosphate pesticide exposure, is possibly affected by single nucleotide polymorphisms (SNPs) in cell-cycle-related genes. One hundred and eighty workers with long-term exposure to omethoate and 115 healthy controls were recruited to explore the gene–gene and gene–environment interactions. The acetylthiocholine and dithio-bis-(nitrobenzoic acid) method was used to detect the cholinesterase activities in whole blood, erythrocytes and plasma. Genetic polymorphisms were determined by the PCR-RFLP and direct PCR electrophoresis methods. Statistical results showed that the cholinesterase activities of whole blood, erythrocytes and plasma in the exposure group were significantly lower than those in the control group ( p p p21 rs1801270 locus in the control group ( p = 0.033), but not in the exposure group. A significant interaction between genes and environmental factors (i.e. p53 , p21 , mdm2, gender, smoking and drinking) affecting ChA was found through a generalized multifactor dimensionality reduction analysis. These obtained markers will be useful in further marker-assisted selection in workers with exposure to omethoate.
Published: 2018

45. Effect of electroacupuncture on muscle state and infrared thermogram changes in patients with acute lumbar muscle sprain

Author: Fan Yuanzhi and Wu Yao-chi
Subjects: Adult, Male, Spasm, Electroacupuncture, medicine.medical_treatment, Infrared thermogram, Muscular state, law.invention, Body Temperature, Lumbar, Randomized controlled trial, law, Force-displacement value, Sprains and strains, medicine, Humans, In patient, Medicine(all), business.industry, Lumbosacral Region, General Medicine, Diclofenac Sodium, Middle Aged, medicine.disease, Treatment Outcome, Lumbar sprain, Ashi, Thermography, Anesthesia, Acute Disease, Sprains and Strains, Female, business, Acupuncture Points, After treatment
Abstract: ObjectiveTo observe the effect of electroacupuncture (EA) on force-displacement value (FDV) of muscle state and the temperature index of infrared thermogram in patients with acute lumbar muscle sprain.MethodsPatients with acute lumbar muscle sprain were randomly divided into a medication group and an EA group. The medication group (n = 60) were treated with diclofenac sodium dual release enteric-coated capsules, 75 mg per day for 7 days. The EA group (n = 60) received EA at bilateral Houxi (SI 3), Jiaji (EX-B2), and Ashi points, at 20–30 mm depth and 10–25 Hz frequency for 20 min daily for 7 days. Muscle states were determined by measuring FDVs of the bilateral lumbar muscle with a Myotonometer fast muscle state detector. The temperature index of the lumbar skin was measured before and after treatment with a Fluke Ti30 non-refrigerated focal plane infrared thermal imaging detector.ResultsThere were no significant pre-treatment differences between the medication group and the EA group in mean FDV (P = 0.052) or temperature index of the lumbar skin (P = 0.25). The cure rate was 63.3% in the EA group and 53.3% in the medication group. The total efficacy in the EA group (93.3 %) was not significantly different from that in the medication group (86.6 %, P = 0.204). After treatment, the mean FDV of the lumbar muscle significantly increased in both groups (P < 0.05 for both groups); the FDV increase in the EA group was significantly higher than in the medication group (P = 0.015). The temperature index was also significantly increased in both groups (P < 0.05 for both groups); the infrared thermogram in the EA group indicated significantly greater recovery compared to the medication group (P = 0.026).ConclusionBoth EA and diclofenac sodium markedly improved acute lumbar sprain, but EA better improved the rehabilitation and regeneration of FDVs and temperature index of infrared thermogram of the muscle.
Published: 2015
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46. Highly Pathogenic Avian Influenza H5N1 in Mainland China

Author: Wu-Chun Cao, Xin-Lou Li, Ruo-Xi Sun, Kun Liu, Hong-Wu Yao, Li-Qun Fang, Ye Sun, Sake J. de Vlas, Chen Wanjun, and Public Health
Subjects: Mainland China, China, Veterinary medicine, animal diseases, Health, Toxicology and Mutagenesis, Population, lcsh:Medicine, Distribution (economics), medicine.disease_cause, Article, Disease Outbreaks, law.invention, risk prediction, SDG 3 - Good Health and Well-being, Risk Factors, law, Environmental health, medicine, Animals, highly pathogenic avian influenza, education, education.field_of_study, Influenza A Virus, H5N1 Subtype, business.industry, lcsh:R, Vaccination, public health, Public Health, Environmental and Occupational Health, virus diseases, Outbreak, H5N1, GIS, Influenza A virus subtype H5N1, Ducks, Logistic Models, Transmission (mechanics), Geography, Influenza in Birds, business, Chickens
Abstract: Highly pathogenic avian influenza (HPAI) H5N1 has posed a significant threat to both humans and birds, and it has spanned large geographic areas and various ecological systems throughout Asia, Europe and Africa, but especially in mainland China. Great efforts in control and prevention of the disease, including universal vaccination campaigns in poultry and active serological and virological surveillance, have been undertaken in mainland China since the beginning of 2006. In this study, we aim to characterize the spatial and temporal patterns of HPAI H5N1, and identify influencing factors favoring the occurrence of HPAI H5N1 outbreaks in poultry in mainland China. Our study shows that HPAI H5N1 outbreaks took place sporadically after vaccination campaigns in poultry, and mostly occurred in the cold season. The positive tests in routine virological surveillance of HPAI H5N1 virus in chicken, duck, goose as well as environmental samples were mapped to display the potential risk distribution of the virus. Southern China had a higher positive rate than northern China, and positive samples were mostly detected from chickens in the north, while the majority were from duck in the south, and a negative correlation with monthly vaccination rates in domestic poultry was found (R = −0.19, p value = 0.005). Multivariate panel logistic regression identified vaccination rate, interaction between distance to the nearest city and national highway, interaction between distance to the nearest lake and wetland, and density of human population, as well as the autoregressive term in space and time as independent risk factors in the occurrence of HPAI H5N1 outbreaks, based on which a predicted risk map of the disease was derived. Our findings could provide new understanding of the distribution and transmission of HPAI H5N1 in mainland China and could be used to inform targeted surveillance and control efforts in both human and poultry populations to reduce the risk of future infections.
Published: 2015

47. The significance of magnetic resonance imaging in severe femoral trochlear dysplasia assessment

Author: Mei Li, Ji Shen, Wei‑Wu Yao, and Le Qin
Subjects: femoral trochlear dysplasia, Cancer Research, medicine.medical_specialty, assessment, Femoral trochlear dysplasia, Condyle, 03 medical and health sciences, 0302 clinical medicine, Immunology and Microbiology (miscellaneous), medicine, magnetic resonance imaging, 030222 orthopedics, medicine.diagnostic_test, business.industry, Cartilage, Facet asymmetry, Magnetic resonance imaging, Articles, 030229 sport sciences, General Medicine, Anatomy, Sulcus, eye diseases, Surgery, Conventional radiography, medicine.anatomical_structure, Clinical diagnosis, business
Abstract: The clinical diagnosis of femoral trochlear dysplasia primarily relies on imaging. In the past, plain imaging was the major source of diagnosis. The present study investigated the application of magnetic resonance imaging (MRI) in the objective assessment of severe femoral trochlear dysplasia. A retrospective analysis was performed on knee MRIs from 30 normal subjects (30 knees) and 59 patients (61 knees) with severe femoral trochlear dysplasia based on the Dejour morphological classification. Cartilage and subchondral bone landmarks were used to compare a series of measurements between patient and control groups. These measurements included the femoral trochlear groove depth, sulcus angle, the lateral trochlear inclination, trochlear facet asymmetry, the femoral medial and lateral condyle symmetry, and the ratios between the femoral medial/lateral condyles and the maximal trochlear width. The measurement values based on the two types of landmarks were also compared within the patient and control groups, separately. In addition, the femoral trochlear groove depth, sulcus angle, lateral trochlear inclination and trochlear facet asymmetry of patients with different Dejour types were compared. Significant differences were observed in the femoral trochlear groove depth, sulcus angle, lateral trochlear inclination and trochlear facet asymmetry between the patient and control groups (P
Published: 2017

48. Role of bone marrow-derived CD11c+ dendritic cells in systolic overload-induced left ventricular inflammation, fibrosis and hypertrophy

Author: Daniel L. Mueller, Wu Yao, John Fassett, Yingjie Chen, Huan Wang, Yawei Xu, Xin Xu, Xinyu Weng, Robert J. Bache, Dongmin Kwak, and Xiaohong Liu
Subjects: 0301 basic medicine, medicine.medical_specialty, Physiology, CD11c, chemical and pharmacologic phenomena, Spleen, Inflammation, 030204 cardiovascular system & hematology, Muscle hypertrophy, 03 medical and health sciences, 0302 clinical medicine, Immune system, Fibrosis, Physiology (medical), Internal medicine, medicine, business.industry, hemic and immune systems, medicine.disease, 030104 developmental biology, medicine.anatomical_structure, Endocrinology, Immunology, Bone marrow, medicine.symptom, Cardiology and Cardiovascular Medicine, business, CD8
Abstract: Inflammatory responses play an important role in the development of left ventricular (LV) hypertrophy and dysfunction. Recent studies demonstrated that increased T-cell infiltration and T-cell activation contribute to LV hypertrophy and dysfunction. Dendritic cells (DCs) are professional antigen-presenting cells that orchestrate immune responses, especially by modulating T-cell function. In this study, we investigated the role of bone marrow-derived CD11c+ DCs in transverse aortic constriction (TAC)-induced LV fibrosis and hypertrophy in mice. We observed that TAC increased the number of CD11c+ cells and the percentage of CD11c+ MHCII+ (major histocompatibility complex class II molecule positive) DCs in the LV, spleen and peripheral blood in mice. Using bone marrow chimeras and an inducible CD11c+ DC ablation model, we found that depletion of bone marrow-derived CD11c+ DCs significantly attenuated LV fibrosis and hypertrophy in mice exposed to 24 weeks of moderate TAC. CD11c+ DC ablation significantly reduced TAC-induced myocardial inflammation as indicated by reduced myocardial CD45+ cells, CD11b+ cells, CD8+ T cells and activated effector CD8+CD44+ T cells in LV tissues. Moreover, pulsing of autologous DCs with LV homogenates from TAC mice promoted T-cell proliferation. These data indicate that bone marrow-derived CD11c+ DCs play a maladaptive role in hemodynamic overload-induced cardiac inflammation, hypertrophy and fibrosis through the presentation of cardiac self-antigens to T cells.
Published: 2017

49. Rapid increase of scrub typhus incidence in Guangzhou, southern China, 2006-2014

Author: Yong Huang, Mai-Juan Ma, Xiaoning Li, Wu-Chun Cao, Yang Yang, Xin-Lou Li, Ye Sun, Li-Qun Fang, Yu Ma, Sake J. de Vlas, Yuehong Wei, Hong-Wu Yao, Kun Liu, Wen-Hui Zhang, Zhicong Yang, and Public Health
Subjects: Male, Rural Population, China, medicine.medical_specialty, Veterinary medicine, 030231 tropical medicine, Distribution (economics), Scrub typhus, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Epidemiology, medicine, Humans, 030212 general & internal medicine, Socioeconomics, Broadleaf forest, Aged, Aged, 80 and over, Models, Statistical, business.industry, Incidence, Incidence (epidemiology), Middle Aged, medicine.disease, Infectious Diseases, Geography, Scrub Typhus, Southern china, Female, Seasons, Rural area, business, Research Article
Abstract: Background In the last decade, scrub typhus (ST) has been emerging or re-emerging in some areas of Asia, including Guangzhou, one of the most affected endemic areas of ST in China. Methods Based on the data on all cases reported in Guangzhou from 2006 to 2014, we characterized the epidemiological features, and identified environmental determinants for the spatial distribution of ST using a panel negative binomial model. Results A total of 4821 scrub typhus cases were reported in Guangzhou during 2006―2014. The annual incidence increased noticeably and the increase was relatively high and rapid in rural townships and among elderly females. The majority of cases (86.8%) occurred during May―October, and farmers constituted the majority of the cases, accounting for 33.9% in urban and 61.6% in rural areas. The number of housekeeper patients had a rapid increment in both rural and urban areas during the study period. Atmospheric pressure and relative humidity with lags of 1 or 2 months, distributions of broadleaved forest and rural township were identified as determinants for the spatiotemporal distribution of scrub typhus. Conclusion Our results indicate that surveillance and public education need to be focused on the elderly farmers in rural areas covered with broadleaf forest in southern China. Electronic supplementary material The online version of this article (doi:10.1186/s12879-016-2153-3) contains supplementary material, which is available to authorized users.
Published: 2017

50. Risk factors for early miscarriage among Chinese: a hospital-based case-control study

Author: Wu Yao, Guangli Xu, Huafeng Guo, Li-Ming Yang, Fu-Qing Zhang, Yichun Guan, Yiming Wu, and Lu Yuan
Subjects: Adult, China, Pediatrics, medicine.medical_specialty, Time Factors, Adolescent, Personnel Staffing and Scheduling, Gestational Age, Hospitals, Maternity, Motor Activity, Abortion, Miscarriage, Young Adult, Asian People, Pregnancy, Risk Factors, Surveys and Questionnaires, Odds Ratio, medicine, Humans, Young adult, Life Style, Academic Medical Centers, business.industry, Obstetrics, Confounding, Case-control study, Obstetrics and Gynecology, Gestational age, Abortion, Induced, Odds ratio, medicine.disease, Diet, Abortion, Spontaneous, Logistic Models, Job Description, Reproductive Medicine, Case-Control Studies, Multivariate Analysis, Female, Sleep, business
Abstract: Objective To investigate the risk factors for early miscarriage among Chinese women. Design Hospital-based matched case-control study. Setting Academic medical center and maternal health hospital. Patient(s) 620 women with early miscarriage (less than 13 weeks of gestation) and 1,240 normal pregnant women. Intervention(s) Face-to-face questionnaire. Main Outcome Measure(s) Multivariable conditional odds ratio (OR) and 95% confidence interval (CI) to measure risk factors. Result(s) After adjustment for confounding factors, the following were independently associated with increased risk: history of miscarriage, repeated induced abortion, working night shifts, and frequent staying up late. Vitamin supplementation and regular physical activity reduced the risk of miscarriage. We did not find paternal age, alcohol consumption, or smoking status to be linked with early miscarriage. Conclusion(s) Our findings suggest that a healthy diet, regular physical activity, and planned pregnancy may be advantageous for women in pre-pregnancy or early pregnancy. Induced abortion, working night shifts, and frequent staying up late were associated with an increased risk of miscarriage. Further work in larger populations is warranted.
Published: 2014

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