Author: "Chan, Queenie" - Searchworks@Jio Institute Digital Library Search Results

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1,281 results on '"Chan, Queenie"'

1. A Systematic Post-Processing Approach for Quantitative $T_{1\rho}$ Imaging of Knee Articular Cartilage

Author: Zhong, Junru, Yao, Yongcheng, Xiao, Fan, Ong, Tim-Yun Michael, Ho, Ki-Wai Kevin, Li, Siyue, Huang, Chaoxing, Chan, Queenie, Griffith, James F., and Chen, Weitian
Subjects: Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Objective: To establish an automated pipeline for post-processing of quantitative spin-lattice relaxation time constant in the rotating frame ($T_{1\rho}$) imaging of knee articular cartilage. Design: The proposed post-processing pipeline commences with an image standardisation procedure, followed by deep learning-based segmentation to generate cartilage masks. The articular cartilage is then automatically parcellated into 20 subregions, where $T_{1\rho}$ quantification is performed. The proposed pipeline was retrospectively validated on a dataset comprising knee $T_{1\rho}$ images of 10 healthy volunteers and 30 patients with knee osteoarthritis. Three experiments were conducted, namely an assessment of segmentation model performance (using Dice similarity coefficients, DSCs); an evaluation of the impact of standardisation; and a test of $T_{1\rho}$ quantification accuracy (using paired t-tests; root-mean-square deviations, RMSDs; and coefficients of variance of RMSDs, $CV_{RMSD}$). Statistical significance was set as p<0.05. Results: There was a substantial agreement between the subregional $T_{1\rho}$ quantification from the model-predicted masks and those from the manual segmentation labels. In patients, 17 of 20 subregions, and in healthy volunteers, 18 out of 20 subregions, demonstrated no significant difference between predicted and reference $T_{1\rho}$ quantifications. Average RMSDs were 0.79 ms for patients and 0.56 ms for healthy volunteers, while average $CV_{RMSD}$ were 1.97% and 1.38% for patients and healthy volunteers. Bland-Altman plots showed negligible bias across all subregions for patients and healthy volunteers. Conclusion: The proposed pipeline can perform automatic and reliable post-processing of quantitative $T_{1\rho}$ images of knee articular cartilage., Comment: Junru Zhong and Yongcheng Yao share the same contribution. Work was partially done when Yongcheng Yao and Siyue Li was with CUHK
Published: 2024

2. Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior

Author: Huang, Chaoxing, Yu, Ziqiang, Gao, Zijian, Shen, Qiuyi, Chan, Queenie, Wong, Vincent Wai-Sun, Chu, Winnie Chiu-Wing, and Chen, Weitian
Subjects: Physics - Medical Physics, Computer Science - Computer Vision and Pattern Recognition
Abstract: Fatty acid can potentially serve as biomarker for evaluating metabolic disorder and inflammation condition, and quantifying the double bonds is the key for revealing fatty acid information. This study presents an assessment of a deep learning approach utilizing Deep Image Prior (DIP) for the quantification of double bonds and methylene-interrupted double bonds of triglyceride derived from chemical-shift encoded multi-echo gradient echo images, all achieved without the necessity for network training. The methodology implemented a cost function grounded in signal constraints to continually refine the neural network's parameters on a single slice of images through iterative processes. Validation procedures encompassed both phantom experiments and in-vivo scans. The outcomes evidenced a concordance between the quantified values and the established reference standards, notably exemplified by a Pearson correlation coefficient of 0.96 (p = 0.0005) derived from the phantom experiments. The results in water-oil phantom also demonstrate the quantification reliability of the DIP method under the condition of having a relatively low-fat signal. Furthermore, the in-vivo assessments showcased the method's competency by showcasing consistent quantification results that closely mirrored previously published findings concerning subcutaneous fat. In summary, the study underscores the potential of Deep Image Prior in enabling the quantification of double bonds and methylene-interrupted double bonds from chemical-shift encoded multi-echo magnetic resonance imaging (MRI) data, suggesting potential avenues for future research and clinical applications in the field., Comment: This technical note is accepted by Quantitative Imaging in Medicine and Surgery as a breif report
Published: 2024

3. Focus on Cataphora: Experiments in Context

Author: Moulton, Keir, Chan, Queenie, Cheng, Tanie, Han, Chung-hye, Kim, Kyeong-min, and Nickel-Thompson, Sophie
Published: 2018

4. An Uncertainty Aided Framework for Learning based Liver $T_1\rho$ Mapping and Analysis

Author: Huang, Chaoxing, Wong, Vincent Wai Sun, Chan, Queenie, Chu, Winnie Chiu Wing, and Chen, Weitian
Subjects: Physics - Medical Physics, Computer Science - Computer Vision and Pattern Recognition
Abstract: Objective: Quantitative $T_1\rho$ imaging has potential for assessment of biochemical alterations of liver pathologies. Deep learning methods have been employed to accelerate quantitative $T_1\rho$ imaging. To employ artificial intelligence-based quantitative imaging methods in complicated clinical environment, it is valuable to estimate the uncertainty of the predicated $T_1\rho$ values to provide the confidence level of the quantification results. The uncertainty should also be utilized to aid the post-hoc quantitative analysis and model learning tasks. Approach: To address this need, we propose a parametric map refinement approach for learning-based $T_1\rho$ mapping and train the model in a probabilistic way to model the uncertainty. We also propose to utilize the uncertainty map to spatially weight the training of an improved $T_1\rho$ mapping network to further improve the mapping performance and to remove pixels with unreliable $T_1\rho$ values in the region of interest. The framework was tested on a dataset of 51 patients with different liver fibrosis stages. Main results: Our results indicate that the learning-based map refinement method leads to a relative mapping error of less than 3% and provides uncertainty estimation simultaneously. The estimated uncertainty reflects the actual error level, and it can be used to further reduce relative $T_1\rho$ mapping error to 2.60% as well as removing unreliable pixels in the region of interest effectively. Significance: Our studies demonstrate the proposed approach has potential to provide a learning-based quantitative MRI system for trustworthy $T_1\rho$ mapping of the liver.
Published: 2023

5. Uncertainty-weighted Multi-tasking for $T_{1\rho}$ and T$_2$ Mapping in the Liver with Self-supervised Learning

Author: Huang, Chaoxing, Qian, Yurui, Hou, Jian, Jiang, Baiyan, Chan, Queenie, Wong, Vincent WS, Chu, Winnie CW, and Chen, Weitian
Subjects: Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract: Multi-parametric mapping of MRI relaxations in liver has the potential of revealing pathological information of the liver. A self-supervised learning based multi-parametric mapping method is proposed to map T$T_{1\rho}$ and T$_2$ simultaneously, by utilising the relaxation constraint in the learning process. Data noise of different mapping tasks is utilised to make the model uncertainty-aware, which adaptively weight different mapping tasks during learning. The method was examined on a dataset of 51 patients with non-alcoholic fatter liver disease. Results showed that the proposed method can produce comparable parametric maps to the traditional multi-contrast pixel wise fitting method, with a reduced number of images and less computation time. The uncertainty weighting also improves the model performance. It has the potential of accelerating MRI quantitative imaging.
Published: 2023

6. Plasma metabolites associated with cognitive function across race/ethnicities affirming the importance of healthy nutrition

Author: Granot‐Hershkovitz, Einat, He, Shan, Bressler, Jan, Yu, Bing, Tarraf, Wassim, Rebholz, Casey M, Cai, Jianwen, Chan, Queenie, Garcia, Tanya P, Mosley, Thomas, Kristal, Bruce S, DeCarli, Charles, Fornage, Myriam, Chen, Guo‐Chong, Qi, Qibin, Kaplan, Robert, González, Hector M, and Sofer, Tamar
Subjects: Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Behavioral and Social Science, Nutrition, Basic Behavioral and Social Science, Clinical Research, Good Health and Well Being, Humans, Cognition, Diet, Healthy, Diet, Mediterranean, Hispanic or Latino, Ribitol, United States, White, Black or African American, Global cognitive function, Mediterranean diet, Metabolites, Puerto Rican, Race/ethnicitie, US Hispanics/Latinos, Race/ethnicities, U.S. Hispanics/Latinos, Clinical Sciences, Neurosciences, Geriatrics, Clinical sciences, Biological psychology
Abstract: IntroductionWe studied the replication and generalization of previously identified metabolites potentially associated with global cognitive function in multiple race/ethnicities and assessed the contribution of diet to these associations.MethodsWe tested metabolite-cognitive function associations in U.S.A. Hispanic/Latino adults (n = 2222) from the Community Health Study/ Study of Latinos (HCHS/SOL) and in European (n = 1365) and African (n = 478) Americans from the Atherosclerosis Risk In Communities (ARIC) Study. We applied Mendelian Randomization (MR) analyses to assess causal associations between the metabolites and cognitive function and between Mediterranean diet and cognitive function.ResultsSix metabolites were consistently associated with lower global cognitive function across all studies. Of these, four were sugar-related (e.g., ribitol). MR analyses provided weak evidence for a potential causal effect of ribitol on cognitive function and bi-directional effects of cognitive performance on diet.DiscussionSeveral diet-related metabolites were associated with global cognitive function across studies with different race/ethnicities.HighlightsMetabolites associated with cognitive function in Puerto Rican adults were recently identified. We demonstrate the generalizability of these associations across diverse race/ethnicities. Most identified metabolites are related to sugars. Mendelian Randomization (MR) provides weak evidence for a causal effect of ribitol on cognitive function. Beta-cryptoxanthin and other metabolites highlight the importance of a healthy diet.
Published: 2023

7. Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1\rho}$ Mapping with Relaxation Constraint

Author: Huang, Chaoxing, Qian, Yurui, Yu, Simon Chun Ho, Hou, Jian, Jiang, Baiyan, Chan, Queenie, Wong, Vincent Wai-Sun, Chu, Winnie Chiu-Wing, and Chen, Weitian
Subjects: Quantitative Biology - Tissues and Organs, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics
Abstract: $T_{1\rho}$ mapping is a promising quantitative MRI technique for the non-invasive assessment of tissue properties. Learning-based approaches can map $T_{1\rho}$ from a reduced number of $T_{1\rho}$ weighted images, but requires significant amounts of high quality training data. Moreover, existing methods do not provide the confidence level of the $T_{1\rho}$ estimation. To address these problems, we proposed a self-supervised learning neural network that learns a $T_{1\rho}$ mapping using the relaxation constraint in the learning process. Epistemic uncertainty and aleatoric uncertainty are modelled for the $T_{1\rho}$ quantification network to provide a Bayesian confidence estimation of the $T_{1\rho}$ mapping. The uncertainty estimation can also regularize the model to prevent it from learning imperfect data. We conducted experiments on $T_{1\rho}$ data collected from 52 patients with non-alcoholic fatty liver disease. The results showed that our method outperformed the existing methods for $T_{1\rho}$ quantification of the liver using as few as two $T_{1\rho}$-weighted images. Our uncertainty estimation provided a feasible way of modelling the confidence of the self-supervised learning based $T_{1\rho}$ estimation, which is consistent with the reality in liver $T_{1\rho}$ imaging., Comment: Provisionally accepted by Physics in Medicine and Biology
Published: 2022
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8. Short-term air pollution and greenness exposures on oxidative stress in urban and peri-urban residents in Beijing: A part of AIRLESS study

Author: Han, Yiqun, Chen, Wu, Chatzidiakou, Lia, Yan, Li, Zhang, Hanbin, Wang, Yanwen, Cai, Yutong, Krause, Anika, Xie, Wuxiang, Fan, Yunfei, Wang, Teng, Chen, Xi, Xue, Tao, Xie, Gaoqiang, Li, Yingruo, Liang, Pengfei, Jin, Aoming, Zhu, Yidan, Luo, Yan, Han, Xueyu, Qiu, Xinghua, Chan, Queenie, Barratt, Ben, Ezzati, Majid, Elliott, Paul, Jones, Rod, Liu, Jing, Wu, Yangfeng, Zhao, Meiping, Zhang, Junfeng, Kelly, Frank J., Zhu, Tong, Qi, Wenhao, Teng, Yanbo, Barratt, Benjamin, Kelly, Frank, and Ji, John S.
Published: 2024
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9. Immunoproteomic discovery of Mycobacterium bovis antigens, including the surface lipoprotein Mpt83 as a T cell antigen useful for vaccine development

Author: Karunakaran, Karuna P., Yu, Hong, Jiang, Xiaozhou, Chan, Queenie W.T., Sigola, Lynette, Millis, Leonard A., Chen, Jiaqi, Tang, Patrick, Foster, Leonard J., and Brunham, Robert C.
Published: 2024
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10. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Author: Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boggia, Jose G, Bogova, Elena, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bourne, Rupert, Boymatova, Khadichamo, Braeckman, Lutgart, Braithwaite, Tasanee, Brajkovich, Imperia, Branca, Francesco, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brug, Johannes, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burns, Con, Cabrera de León, Antonio, Caixeta, Roberta B, Cama, Tilema, Can, Günay, Cândido, Ana Paula C, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Casas, Maribel, Censi, Laura, Cervantes‐Loaiza, Marvin, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Chaturvedi, Nish, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Chong, Chean Lin, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Cohen, Emmanuel, Confortin, Susana C, Coppinger, Tara C, Cortés, Lilia Yadira, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Cucu, Alexandra M, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dahm, Christina C, Dallongeville, Jean, Dankner, Rachel, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, de Paiva, Karina Mary, De Ridder, Karin, de Valois Correia Júnior, Marco Aurélio, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Donoso, Silvana P, Dorobantu, Maria, Dörr, Marcus, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka L, Dushpanova, Anar, Dyussupova, Azhar, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eghtesad, Sareh, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Esmaeili, Ali, Evans, Roger G, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrante, Daniel, Ferrari, Gerson, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galfo, Myriam, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Garnett, Sarah P, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Goldberg, Marcel, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Gottrand, Frederic, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Grodzicki, Tomasz, Grøholt, Else Karin, Grøntved, Anders, Guajardo, Viviana, Guallar-Castillón, Pilar, Guerchet, Maëlenn, Guerrero, Ramiro, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunter, Marc J, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gurzkowska, Beata, Gutierrez, Laura, Gwee, Xinyi, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Heinen, Mirjam, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel O, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Huisman, Martijn, Husseini, Abdullatif, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iakupova, Ellina M, Iannone, Anna G, Igland, Jannicke, Ijoma, Chinwuba, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jaddou, Hashem Y, Jadoul, Michel, Jafar, Tazeen, Jan, Nataša, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jha, Anjani Kumar, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Juolevi, Anne, Juresa, Vesna, Jureša, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Karki, Khem B, Kassi Anicet, Adoubi, Katibeh, Marzieh, Katulanda, Prasad, Katzmarzyk, Peter T, Kauhanen, Jussi, Kazakbaeva, Gyulli M, Kaze, François F, Ke, Calvin, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kersting, Mathilde, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Kim, Hyeon Chang, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Koussoh Simone, Malik, Kovács, Éva, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kyobutungi, Catherine, La, Quang Ngoc, Labadarios, Demetre, Lachat, Carl, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leszczak, Justyna, Leung, Gabriel M, Li, Yanping, Liivak, Merike, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lind, Lars, Litwin, Mieczyslaw, Liu, Liping, Liu, Xiaotian, Longo Abril, Guadalupe, Lopes, Oscar, Lopez-Garcia, Esther, López-Gil, José Francisco, Lopez, Tania, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, M'Buyamba-Kabangu, Jean-René, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Madar, Ahmed A, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Makdisse, Marcia, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, 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Published: 2024
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11. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author: Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, 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Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Salazar Martinez, Eduardo, Salhanova, Akkumis, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Sandjaja, Sans, Susana, Santa-Marina, Loreto, Santacruz, Ethel, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schaffrath Rosario, Angelika, Schargrodsky, Herman, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Börge, Schmidt, Carsten O, Schmidt, Ida Maria, Schneider, Andrea, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schultz, Gry, Schulze, Matthias B, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Sewpaul, Ronel, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Sidossis, Labros S, Silitrari, Natalia, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skoblina, Elena V, Skoblina, Natalia A, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Solovieva, Yuliya V, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sossa Jérome, Charles, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stang, Andreas, Starc, Gregor, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Steinsbekk, Silje, Stergiou, George S, Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sugiyama, Mindy, Suka, Machi, Sulo, Gerhard, Sun, Chien-An, Sun, Liang, Sund, Malin, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G, Swinburn, Boyd A, Sy, Rody G, Sylva, René Charles, Szponar, Lucjan, Tabone, Lorraine, Tai, E Shyong, Takuro, Furusawa, Tambalis, Konstantinos D, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Tessema, Masresha, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Tomaszewski, Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K, Vasques, Daniel G, Vatasescu, Radu, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Viriyautsahakul, Napaphan, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Vourli, Georgia, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja GM, Vuletić, Silvije, Wade, Alisha N, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D, Whincup, Peter H, Wichstrøm, Lars, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wild, Philipp S, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wirth, James P, Wojtyniak, Bogdan, Woldeyohannes, Meseret, Wolf, Kathrin, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Li, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, Yépez García, Martha, Yiallouros, Panayiotis K, Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, Yotov, Yoto, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid
Published: 2024
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12. Susceptibility of hypertensive individuals to acute blood pressure increases in response to personal-level environmental temperature decrease

Author: Xu, Yifan, Han, Yiqun, Chen, Wu, Chatzidiakou, Lia, Yan, Li, Krause, Anika, Li, Yilin, Zhang, Hanbin, Wang, Teng, Xue, Tao, Chan, Queenie, Barratt, Ben, Jones, Roderic L., Liu, Jing, Wu, Yangfeng, Zhao, Meiping, Zhang, Junfeng, Kelly, Frank J., and Zhu, Tong
Published: 2024
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13. A Metabolome Wide Association Study of Fruit and Vegetable Consumption and Associations with Cardiovascular Disease Risk Factors: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP) Study

Author: Oude Griep, Linda M, Chekmeneva, Elena, Van Horn, Linda, Chan, Queenie, Daviglus, Martha L, Frost, Gary, Holmes, Elaine, Ebbels, Timothy MD, and Elliott, Paul
Published: 2024
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14. The Role of Diet in the Prevention of Hypertension and Management of Blood Pressure: An Umbrella Review of Meta-Analyses of Interventional and Observational Studies

Author: Aljuraiban, Ghadeer S., Gibson, Rachel, Chan, Doris SM., Van Horn, Linda, and Chan, Queenie
Published: 2024
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15. Multiscale evidence for weathering and the preservation of carbonaceous material in an Antarctic micrometeorite

Author: Boyd, Mark R., Cartwright, Julia A., Singh, Jaspreet, Bagot, Paul A.J., Bays, Charlotte L., Chan, Queenie H.S., Genge, Matthew J., and Moody, Michael P.
Published: 2023
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16. Investigation of the urinary sodium-to-potassium ratio target level based on the recommended dietary intake goals for the Japanese population: The INTERMAP Japan

Author: Salman, Ebtehal, Kadota, Aya, Okami, Yukiko, Kondo, Keiko, Yoshita, Katsushi, Okuda, Nagako, Nakagawa, Hideaki, Saitoh, Shigeyuki, Sakata, Kiyomi, Okayama, Akira, Chan, Queenie, Elliott, Paul, Stamler, Jeremiah, Ueshima, Hirotsugu, and Miura, Katsuyuki
Published: 2022
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17. Seeing Bennu through the eyes of OSIRIS-REx

Author: Chan, Queenie H. S.
Published: 2023
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18. Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort

Author: Shannon, Casey P, Blimkie, Travis M, Ben-Othman, Rym, Gladish, Nicole, Amenyogbe, Nelly, Drissler, Sibyl, Edgar, Rachel D, Chan, Queenie, Krajden, Mel, Foster, Leonard J, Kobor, Michael S, Mohn, William W, Brinkman, Ryan R, Le Cao, Kim-Anh, Scheuermann, Richard H, Tebbutt, Scott J, Hancock, Robert EW, Koff, Wayne C, Kollmann, Tobias R, Sadarangani, Manish, and Lee, Amy Huei-Yi
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Immunology, Vaccine Related, Immunization, Human Genome, Hepatitis, Genetics, Biotechnology, Infectious Diseases, Clinical Research, Hepatitis - B, Digestive Diseases, Prevention, Liver Disease, Prevention of disease and conditions, and promotion of well-being, 3.4 Vaccines, Infection, Good Health and Well Being, Adult, Aged, Epigenesis, Genetic, Epigenomics, Feces, Female, Gastrointestinal Microbiome, Gene Expression Profiling, Gene Regulatory Networks, Genomics, Hepatitis B, Hepatitis B Antibodies, Hepatitis B Vaccines, Humans, Immunogenicity, Vaccine, Male, Middle Aged, Prospective Studies, Protein Interaction Maps, Proteomics, Systems Biology, Time Factors, Transcriptome, Treatment Outcome, Vaccination, multi-omic analysis, hepatitis B vaccination, baseline immunity, network analysis, vaccine response, Medical Microbiology, Biochemistry and cell biology
Abstract: BackgroundVaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response is of paramount importance if we are to ensure the success of future vaccine development efforts.MethodsWe applied cutting edge multi-omics approaches to extensively characterize temporal molecular responses following vaccination with hepatitis B virus (HBV) vaccine. Data were integrated across cellular, epigenomic, transcriptomic, proteomic, and fecal microbiome profiles, and correlated to final HBV antibody titres.ResultsUsing both an unsupervised molecular-interaction network integration method (NetworkAnalyst) and a data-driven integration approach (DIABLO), we uncovered baseline molecular patterns and pathways associated with more effective vaccine responses to HBV. Biological associations were unravelled, with signalling pathways such as JAK-STAT and interleukin signalling, Toll-like receptor cascades, interferon signalling, and Th17 cell differentiation emerging as important pre-vaccination modulators of response.ConclusionThis study provides further evidence that baseline cellular and molecular characteristics of an individual's immune system influence vaccine responses, and highlights the utility of integrating information across many parallel molecular datasets.
Published: 2020

19. Circulating plasma phospholipid fatty acid levels as a biomarker of habitual dietary fat intake: The INTERMAP/INTERLIPID Study

Author: Miyagawa, Naoko, Sekikawa, Akira, Miura, Katsuyuki, Evans, Rhobert W., Okuda, Nagako, Fujiyoshi, Akira, Yoshita, Katsushi, Chan, Queenie, Okami, Yukiko, Kadota, Aya, Willcox, Bradley, Masaki, Kamal, Rodriguez, Beatriz, Sakata, Kiyomi, Nakagawa, Hideaki, Saitoh, Shigeyuki, Okayama, Akira, Kuller, Lewis H., Elliott, Paul, Stamler, Jeremiah, and Ueshima, Hirotsugu
Published: 2023
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20. Heating experiments of the Tagish Lake meteorite: Investigation of the effects of short‐term heating on chondritic organics

Author: Chan, Queenie HS, Nakato, Aiko, Kebukawa, Yoko, Zolensky, Michael E, Nakamura, Tomoki, Maisano, Jessica A, Colbert, Matthew W, Martinez, James E, Kilcoyne, AL David, Suga, Hiroki, Takahashi, Yoshio, Takeichi, Yasuo, Mase, Kazuhiko, and Wright, Ian P
Subjects: 1.1 Normal biological development and functioning, Underpinning research, Astronomical and Space Sciences, Geochemistry, Geology, Geochemistry & Geophysics
Abstract: We present in this study the effects of short-term heating on organics in the Tagish Lake meteorite and how the difference in the heating conditions can modify the organic matter (OM) in a way that complicates the interpretation of a parent body's heating extent with common cosmothermometers. The kinetics of short-term heating and its influence on the organic structure are not well understood, and any study of OM is further complicated by the complex alteration processes of the thermally metamorphosed carbonaceous chondrites—potential analogues of the target asteroid Ryugu of the Hayabusa2 mission—which had experienced posthydration, short-duration local heating. In an attempt to understand the effects of short-term heating on chondritic OM, we investigated the change in the OM contents of the experimentally heated Tagish Lake meteorite samples using Raman spectroscopy, scanning transmission X-ray microscopy utilizing X-ray absorption near edge structure spectroscopy, and ultraperformance liquid chromatography fluorescence detection and quadrupole time of flight hybrid mass spectrometry. Our experiment suggests that graphitization of OM did not take place despite the samples being heated to 900 °C for 96 h, as the OM maturity trend was influenced by the heating conditions, kinetics, and the nature of the OM precursor, such as the presence of abundant oxygenated moieties. Although both the intensity of the 1s−σ* exciton cannot be used to accurately interpret the peak metamorphic temperature of the experimentally heated Tagish Lake sample, the Raman graphite band widths of the heated products significantly differ from that of chondritic OM modified by long-term internal heating.
Published: 2019

21. Household air pollution from solid fuel use as a dose-dependent risk factor for cognitive impairment in northern China

Author: Tseng, Tzu-Wei Joy, Carter, Ellison, Yan, Li, Chan, Queenie, Elliott, Paul, Ezzati, Majid, Kelly, Frank, Schauer, James J., Wu, Yangfeng, Yang, Xudong, Zhao, Liancheng, and Baumgartner, Jill
Published: 2022
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22. Associations Among Plant-Based Dietary Indexes, the Dietary Inflammatory Index, and Inflammatory Potential in Female College Students In Saudi Arabia: A Cross-Sectional Study

Author: Aljuraiban, Ghadeer S., Gibson, Rachel, Al-Freeh, Leenah, Al-Musharaf, Sara, Shivappa, Nitin, Hébert, James R., Oude Griep, Linda M., and Chan, Queenie
Published: 2022
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23. The appearance of magnetic susceptibility objects in SWI phase depends on object size: Comparison with QSM and CT

Author: Xie, Hong, Zhuang, Hangwei, Guo, Yihao, Sharma, Ria D., Zhang, Qihao, Li, Jiahao, Lu, Shimin, Xu, Liang, Chan, Queenie, Yoneda, Tetsuya, Spincemaille, Pascal, Zhang, Honglei, Guo, Hua, Prince, Martin R., Yu, Chengxin, and Wang, Yi
Published: 2022
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24. Organic matter in extraterrestrial water-bearing salt crystals.

Author: Chan, Queenie HS, Zolensky, Michael E, Kebukawa, Yoko, Fries, Marc, Ito, Motoo, Steele, Andrew, Rahman, Zia, Nakato, Aiko, Kilcoyne, AL David, Suga, Hiroki, Takahashi, Yoshio, Takeichi, Yasuo, and Mase, Kazuhiko
Subjects: Water, Isotopes, Salts, Organic Chemicals, Amino Acids, Crystallization, Spectrum Analysis, Raman, Extraterrestrial Environment, Meteoroids, X-Ray Absorption Spectroscopy, Spectrum Analysis, Raman
Abstract: Direct evidence of complex prebiotic chemistry from a water-rich world in the outer solar system is provided by the 4.5-billion-year-old halite crystals hosted in the Zag and Monahans (1998) meteorites. This study offers the first comprehensive organic analysis of the soluble and insoluble organic compounds found in the millimeter-sized halite crystals containing brine inclusions and sheds light on the nature and activity of aqueous fluids on a primitive parent body. Associated with these trapped brines are organic compounds exhibiting wide chemical variations representing organic precursors, intermediates, and reaction products that make up life's precursor molecules such as amino acids. The organic compounds also contain a mixture of C-, O-, and N-bearing macromolecular carbon materials exhibiting a wide range of structural order, as well as aromatic, ketone, imine, and/or imidazole compounds. The enrichment in 15N is comparable to the organic matter in pristine Renazzo-type carbonaceous chondrites, which reflects the sources of interstellar 15N, such as ammonia and amino acids. The amino acid content of the Zag halite deviates from the meteorite matrix, supporting an exogenic origin of the halite, and therefore, the Zag meteorite contains organics synthesized on two distinct parent bodies. Our study suggests that the asteroidal parent body where the halite precipitated, potentially asteroid 1 Ceres, shows evidence for a complex combination of biologically and prebiologically relevant molecules.
Published: 2018

25. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author: Zhou, Bin, Carrillo-Larco, Rodrigo M, Danaei, Goodarz, Riley, Leanne M, Paciorek, Christopher J, Stevens, Gretchen A, Gregg, Edward W, Bennett, James E, Solomon, Bethlehem, Singleton, Rosie K, Sophiea, Marisa K, Iurilli, Maria LC, Lhoste, Victor PF, Cowan, Melanie J, Savin, Stefan, Woodward, Mark, Balanova, Yulia, Cifkova, Renata, Damasceno, Albertino, Elliott, Paul, Farzadfar, Farshad, He, Jiang, Ikeda, Nayu, Kengne, Andre P, Khang, Young-Ho, Kim, Hyeon Chang, Laxmaiah, Avula, Lin, Hsien-Ho, Margozzini Maira, Paula, Miranda, J Jaime, Neuhauser, Hannelore, Sundström, Johan, Varghese, Cherian, Widyahening, Indah S, Zdrojewski, Tomasz, Abarca-Gómez, Leandra, Abdeen, Ziad A, Abdul Rahim, Hanan F, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmadizar, Fariba, Ahmed, Soheir H, Ahrens, Wolfgang, Ajlouni, Kamel, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Aly, Eman, Amarapurkar, Deepak N, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Ansong, Daniel, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assunção, Maria Cecília F, Auvinen, Juha, Avdićová, Mária, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Bahijri, Suhad, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Banadinović, Maja, Bandosz, Piotr, Banegas, José R, Baran, Joanna, Barbagallo, Carlo M, Barceló, Alberto, Barkat, Amina, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benet, Mikhail, Benson, Lowell S, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloísa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boeing, Heiner, Boggia, Jose G, Boissonnet, Carlos P, Bojesen, Stig E, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Boyer, Christopher B, Braeckman, Lutgart, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brito, Miguel, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bueno, Gloria, Bugge, Anna, Burns, Con, Bursztyn, Michael, Cabrera de León, Antonio, 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Roman, Tormo, María José, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsugane, Shoichiro, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Turley, Maria L, Twig, Gilad, Tynelius, Per, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ulmer, Hanno, Uusitalo, Hannu MT, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, van Zutphen, Elisabeth M, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Victora, Cesar G, Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H, Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Emmanuel A, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C, Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K, Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O, Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, and Ezzati, Majid
Published: 2021
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26. Improved liver T1rho measurement precision with a breathhold black blood single shot fast spin echo acquisition: a validation study in healthy volunteers

Author: Wang, Yi-Xiang, Deng, Min, Lo, GladsG, Chan, Queenie, Yuan, Jing, and Chen, Weitian
Subjects: Quantitative Biology - Tissues and Organs, Physics - Medical Physics
Abstract: Purpose: To explore the usability and normal T1rho value of liver parenchyma with a novel single breathhold black blood single shot fast spin echo acquisition based liver imaging sequence. Materials and Methods: In total 19 health subjects (10 males, 9 females; mean age: 37.4 yrs; range: 23-54 yrs) participated in the study. 11 subjects had liver scanned twice in the same session to access scan-rescan repeatability. 12 subjects had liver scanned twice in two sessions with 7-10 days' interval to access scan-rescan reproducibility. MR was performed with a 3.0 T scanner with dual transmitter. The MR sequence allows simultaneous acquisition of 4 spin lock times (TSLs: 0ms, 10 ms, 30 ms, 50ms) in 10 second. Inherent black blood effect of fast spin echo and double inversion recovery were utilized to achieve blood signal suppression. Results: The technique demonstrated good image quality and minimal artifacts. For liver parenchyma, Bland-Altman plot showed the scan-rescan repeatability mean difference was 0.025 ms (95% limits of agreement: -1.163 to 1.213 ms), and intraclass correlation coefficient (ICC) was 0.977. The scan-rescan reproducibility mean difference was -0.075 ms (95% limits of agreement: -3.280 to 3.310 ms), and ICC was 0.820 which is better than the ICC of 0.764 of a previous bright blood multi-breath hold gradient echo acquisition technique. The liver T1rho value was 39.9 +/- 2.4 ms (range: 36.1 - 44.2 ms), which is lower than the value of 42.8=/-2.1 ms acquired with the previous bright blood technique. Conclusion: This study validated the application of a single breathhold black blood single shot fast spin echo acquisition based for human liver T1rho imaging. The lower liver parenchyma T1rho value and higher scan rescan reproducibility may improve of the sensitivity of this technique., Comment: Total 30 pages, 4 figures, 1 table
Published: 2016

27. An atlas of protein-protein interactions across mouse tissues

Author: Skinnider, Michael A., Scott, Nichollas E., Prudova, Anna, Kerr, Craig H., Stoynov, Nikolay, Stacey, R. Greg, Chan, Queenie W.T., Rattray, David, Gsponer, Jörg, and Foster, Leonard J.
Published: 2021
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28. The application of forensic proteomics to identify an unknown snake venom in a deceased toddler

Author: Chan, Queenie W.T., Rogalski, Jason, Moon, Kyung-Mee, and Foster, Leonard J.
Published: 2021
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29. Water and organics in meteorites

Author: Chan, Queenie Hoi Shan, primary and Zolensky, Michael E., additional
Published: 2022
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30. Contributors

Author: Benardini, J. Nick, primary, Berea, Anamaria, additional, Camprubi, Eloi, additional, Candian, Alessandra, additional, Carneiro, Jéssica, additional, Chan, Queenie Hoi Shan, additional, Cleaves, H. James, additional, Cockell, Charles S., additional, Ditzler, Mark Adam, additional, Dixit, J., additional, Gustafson, Kevin, additional, Haqq-Misra, Jacob, additional, Herts, Richard, additional, Jagtap, S.S., additional, Kaur, K., additional, Lee, Michael D., additional, Lin, Ying, additional, Liu, Rongrong, additional, Markovitch, Omer, additional, Marlow, Jeffrey, additional, McKay, Christopher P., additional, Méndez, Abel, additional, Moissl-Eichinger, Christine, additional, Muchowska, Kamila B., additional, Otto, Sijbren, additional, Perl, Scott M., additional, Petrignani, Annemieke, additional, Popović, Milena, additional, Profitiliotis, George, additional, Santiago, Ma. Francesca, additional, Seyler, Lauren M., additional, ten Kate, Inge Loes, additional, Thombre, R.S., additional, Tiwari, Satyam, additional, Vaishampayan, P.V., additional, Yazıcı, Ayşe Meriç, additional, Zajkowski, Tomasz, additional, and Zolensky, Michael E., additional
Published: 2022
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31. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies

Author: Kengne, Andre Pascal, Bentham, James, Zhou, Bin, Peer, Nasheeta, Matsha, Tandi E, Bixby, Honor, Di Cesare, Mariachiara, Hajifathalian, Kaveh, Lu, Yuan, Taddei, Cristina, Bovet, Pascal, Kyobutungi, Catherine, Agyemang, Charles, Aounallah-Skhiri, Hajer, Assah, Felix K, Barkat, Amina, Romdhane, Habiba Ben, Chan, Queenie, Chaturvedi, Nishi, Damasceno, Albertino, Delisle, Hélène, Delpeuch, Francis, Doua, Kouamelan, Egbagbe, Eruke E, Ati, Jalila El, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T, Fouad, Heba M, Gareta, Dickman, Gureje, Oye, Hendriks, Marleen Elisabeth, Houti, Leila, Ibrahim, Mohsen M, Kemper, Han CG, Killewo, Japhet, Kowlessur, Sudhir, Kruger, Herculina S, Laamiri, Fatima Zahra, Laid, Youcef, Levitt, Naomi S, Lunet, Nuno, Magliano, Dianna J, Maire, Bernard, Martin-Prevel, Yves, Mediene-Benchekor, Sounnia, Mohamed, Mostafa K, Mondo, Charles K, Monyeki, Kotsedi Daniel, Mostafa, Aya, Nankap, Martin, Owusu-Dabo, Ellis, de Wit, Tobias F Rinke, Saidi, Olfa, Schultsz, Constance, Schutte, Aletta E, Senbanjo, Idowu O, Shaw, Jonathan E, Smeeth, Liam, Sobngwi, Eugène, Jérome, Charles Sossa, Stronks, Karien, Tanser, Frank, Tchibindat, Félicité, Traissac, Pierre, Tshepo, Lechaba, Tullu, Fikru, Ukoli, Flora AM, Viswanathan, Bharathi, Wade, Alisha N, Danaei, Goodarz, Stevens, Gretchen A, Riley, Leanne M, Ezzati, Majid, and Mbanya, Jean Claude N
Subjects: Nutrition, Diabetes, Obesity, Clinical Research, Prevention, Metabolic and endocrine, Good Health and Well Being, Adolescent, Adult, Africa, Age Distribution, Aged, Aged, 80 and over, Bayes Theorem, Body Mass Index, Cost of Illness, Diabetes Mellitus, Female, Global Health, Health Surveys, Humans, Male, Middle Aged, Prevalence, Sex Distribution, Young Adult, adiposity, body mass index, prevalence, trends, NCD Risk Factor Collaboration (NCD-RisC) – Africa Working Group, Statistics, Public Health and Health Services, Epidemiology
Abstract: BackgroundThe 2016 Dar Es Salaam Call to Action on Diabetes and Other non-communicable diseases (NCDs) advocates national multi-sectoral NCD strategies and action plans based on available data and information from countries of sub-Saharan Africa and beyond. We estimated trends from 1980 to 2014 in age-standardized mean body mass index (BMI) and diabetes prevalence in these countries, in order to assess the co-progression and assist policy formulation.MethodsWe pooled data from African and worldwide population-based studies which measured height, weight and biomarkers to assess diabetes status in adults aged ≥ 18 years. A Bayesian hierarchical model was used to estimate trends by sex for 200 countries and territories including 53 countries across five African regions (central, eastern, northern, southern and western), in mean BMI and diabetes prevalence (defined as either fasting plasma glucose of ≥ 7.0 mmol/l, history of diabetes diagnosis, or use of insulin or oral glucose control agents).ResultsAfrican data came from 245 population-based surveys (1.2 million participants) for BMI and 76 surveys (182 000 participants) for diabetes prevalence estimates. Countries with the highest number of data sources for BMI were South Africa (n = 17), Nigeria (n = 15) and Egypt (n = 13); and for diabetes estimates, Tanzania (n = 8), Tunisia (n = 7), and Cameroon, Egypt and South Africa (all n = 6). The age-standardized mean BMI increased from 21.0 kg/m2 (95% credible interval: 20.3-21.7) to 23.0 kg/m2 (22.7-23.3) in men, and from 21.9 kg/m2 (21.3-22.5) to 24.9 kg/m2 (24.6-25.1) in women. The age-standardized prevalence of diabetes increased from 3.4% (1.5-6.3) to 8.5% (6.5-10.8) in men, and from 4.1% (2.0-7.5) to 8.9% (6.9-11.2) in women. Estimates in northern and southern regions were mostly higher than the global average; those in central, eastern and western regions were lower than global averages. A positive association (correlation coefficient ≃ 0.9) was observed between mean BMI and diabetes prevalence in both sexes in 1980 and 2014.ConclusionsThese estimates, based on limited data sources, confirm the rapidly increasing burden of diabetes in Africa. This rise is being driven, at least in part, by increasing adiposity, with regional variations in observed trends. African countries' efforts to prevent and control diabetes and obesity should integrate the setting up of reliable monitoring systems, consistent with the World Health Organization's Global Monitoring System Framework.
Published: 2017

32. Characterization of carbonaceous matter in xenolithic clasts from the Sharps (H3.4) meteorite: Constraints on the origin and thermal processing

Author: Kebukawa, Yoko, Zolensky, Michael E, Chan, Queenie HS, Nagao, Keisuke, Kilcoyne, AL David, Bodnar, Robert J, Farley, Charles, Rahman, Zia, Le, Loan, and Cody, George D
Subjects: Earth Sciences, Geology, Ordinary chondrites, FTIR spectroscopy, Raman spectroscopy, TEM, Noble gases, XANES, Organic matter, Geochemistry, Physical Geography and Environmental Geoscience, Geochemistry & Geophysics
Abstract: Primitive xenolithic clasts, often referred to as “dark clasts”, are well known in many regolith breccias. The Sharps H3.4 ordinary chondrite contains unusually large dark clasts up to ∼1 cm across. Poorly-graphitized carbon (PGC), with Fe, Ni metal and described as “carbon-rich aggregates”, has been reported in these clasts (Brearley, 1990). We report detailed analyses of carbonaceous matter in several identical Sharps clasts using FTIR, Raman, C-XANES, and TEM that provide insight on the extent of thermal processing and possible origin of such clasts. We also prepared acid residues of the clasts using the HCl/HF method and conducted mass spectrometric analysis of the entrained noble gases. Carbonaceous matter is often used to infer thermal history due to its sensitivity to thermal processes. The FTIR spectra of the acid residue from the Sharps clast suggest that carbonaceous matter in the clast contains less hydrogen and oxygen compared to acid residues from typical type 3.4 ordinary chondrites. The metamorphic temperatures obtained by Raman spectroscopy ranges between ∼380 °C and ∼490 °C. TEM observations indicate that the clasts experienced a peak temperature of 300 °C to 400 °C, based on the carbon d002 layer lattice spacing of C-rich aggregates. These estimates are consistent with an earlier estimate of 330 ± 50 °C, that is also estimated by the d002 layer lattice spacing (Brearley, 1990). It should be noted that the lattice spacing thermometer is based on terrestrial metamorphose rocks, and thus temperature was probably underestimated. Meanwhile, the C-XANES spectra of the C-rich aggregates show high exciton intensities, indicative of graphene structures that developed at around 700–800 °C following an extensive period of time (millions of years), however, the surrounding matrix areas experienced lower temperatures of less than 300–500 °C. Noble gas analysis of the acid residue from the Sharps clasts shows that the residue is almost identical with some material reported in carbonaceous chondrites, i.e., heavily enriched in the Q-gas component as well as HL-gas from presolar diamonds and Ne-E(H) from presolar SiC. These results indicate that the C-rich aggregates in the Sharps clasts formed under relatively high temperature conditions, up to 800 °C, and were subsequently mixed with lower temperature matrix, probably in a different parent body, before they were incorporated into the final Sharps lithology by collision.
Published: 2017

33. A feasibility study of metabolic phenotyping of dried blood spot specimens in rural Chinese women exposed to household air pollution

Author: Loo, Ruey Leng, Lu, Qinwei, Carter, Ellison M., Liu, Si, Clark, Sierra, Wang, Yulan, Baumgartner, Jill, Tang, Huiru, and Chan, Queenie
Published: 2021
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34. Comics-Prose: Evolving Manga in the Twenty-First Century

Author: Chan, Queenie, Sabin, Roger, Series Editor, Ogi, Fusami, editor, Suter, Rebecca, editor, Nagaike, Kazumi, editor, and Lent, John A., editor
Published: 2019
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35. Trends in cardiometabolic risk factors in the Americas between 1980 and 2014: a pooled analysis of population-based surveys

Author: Miranda, J Jaime, Carrillo-Larco, Rodrigo M, Ferreccio, Catterina, Hambleton, Ian R, Lotufo, Paulo A, Nieto-MartSínez, Ramfis, Zhou, Bin, Bentham, James, Bixby, Honor, Hajifathalian, Kaveh, Lu, Yuan, Taddei, Cristina, Abarca-Gómez, Leandra, Acosta-Cazares, Benjamin, Aguilar-Salinas, Carlos A, Andrade, Dolores S, Assunção, Maria Cecília F, Barceló, Alberto, Barros, Aluisio JD, Barros, Mauro VG, Bastos, Joao Luiz D, Bata, Iqbal, Batista, Rosangela L, Benet, Mikhail, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Bia, Daniel, Bloch, Katia V, Boggia, Jose G, Boissonnet, Carlos P, Brajkovich, Imperia, Brewster, Lizzy M, Cameron, Christine, Cândido, Ana Paula C, Cañete, Felicia, Cardoso, Viviane C, Carmuega, Esteban, Cesar, Juraci A, Chan, Queenie, Christofaro, Diego G, Clarke, Janine, Confortin, Susana C, Craig, Cora L, Cureau, Felipe V, Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Donoso, Silvana C, d'Orsi, Eleonora, Duarte de Oliveira, Paula, Dumith, Samuel C, Eldemire-Shearer, Denise, Elliott, Paul, Escobedo-de la Peña, Jorge, Ferguson, Trevor S, Fernandes, Romulo A, Ferrante, Daniel, Francis, Damian K, Fuchs, Flavio D, Fuchs, Sandra C, Gazzinelli, Andrea, Goltzman, David, Gonçalves, Helen, Goncalves Cordeiro da Silva, Bruna, Gonzalez, Angel R, Gonzalez-Chica, David A, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gorbea Bonet, Mariano, Gregor, Ronald D, Guerrero, Ramiro, Guimaraes, Andre L, Gulliford, Martin C, Gutierrez, Laura, Hernandez Cadena, Leticia, Herrera, Victor M, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Howitt, Christina, Irazola, Vilma E, James, Kenneth, Jimenez, Ramon O, Jiménez-Acosta, Santa Magaly, Joffres, Michel, Kolsteren, Patrick, Landrove, Orlando, Lazo-Porras, Maria, Lilly, Christa L, Lima-Costa, M Fernanada, Lopez, Tania, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Makdisse, Marcia, Margozzini, Paula, Marques, Larissa Pruner, Martorell, Reynaldo, Mascarenhas, Luis, Matijasevich, Alicia, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McLean, Scott B, Menezes, Ana Maria B, Miquel, Juan Francisco, Monroy-Valle, Michele, Monterrubio, Eric A, Monterubio Flores, Eric, Moreira, Leila B, Morejon, Alain, Morin, Suzanne N, Motta, Jorge, Neal, William A, Nervi, Flavio, Nieto-Martínez, Ramfis E, Noboa, Oscar A, Ochoa-Avilés, Angélica M, Olinto Anselmo, Maria Teresa, Oliveira, Isabel O, Ono, Lariane M, Ordunez, Pedro, Ortiz, Ana Paula C, Ortiz, Pedro J, Otero, Johanna A, Palloni, Alberto, Peixoto, Sergio Viana, Pereira, Alexandre C, Peres, Marco A, Pérez, Cynthia M, Pichardo, Rafael N, Rangel Reina, Daniel A, Rascon-Pacheco, Ramon A, Revilla, Luis, Ribeiro, Robespierre, Ritti-Dias, Raphael M, Rivera, Juan A, Robitaille, Cynthia, Rodríguez-Villamizar, Laura A, Rojas-Martinez, Rosalba, Roy, Joel GR, Rubinstein, Adolfo, Ruiz-Betancourt, Blanca Sandra, Salazar Martinez, Eduardo, Sánchez-Abanto, Jose, Santos, Ina S, Silva, Diego Augusto Santos, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schargrodsky, Herman, Sequera, Victor, Servais, Jennifer, Silva, Antonio M, Soto-Rojas, Victoria E, Sparrenberger, Karen, Stein, Aryeh D, Suárez-Medina, Ramón, Szklo, Moyses, Tebar, William R, Tello, Tania, Tulloch-Reid, Marshall K, Ueda, Peter, Ugel, Eunice, Valdivia, Gonzalo, Velasquez-Melendez, Gustavo, Verstraeten, Roosmarijn, Victora, Cesar G, Wanderley Jr, Rildo S, Wang, Ming-Dong, Wilks, Rainford J, Wong-McClure, Roy A, Younger-Coleman, Novie O, Zapata, Maria Elisa, Zocalo, Yanina, Zuñiga Cisneros, Julio, Danaei, Goodarz, Stevens, Gretchen A, Riley, Leanne M, Ezzati, Majid, and Di Cesare, Mariachiara
Published: 2020
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36. Formation and Evolution Mechanisms for Organic Matter in Space

Author: Nomura, Hideko, primary, Chan, Queenie Hoi Shan, additional, and Yabuta, Hikaru, additional
Published: 2024
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37. Immunoproteomic Discovery of Mycobacterium Bovis T Cell Antigens Useful for Vaccine Development

Author: Karunakaran, Karuna P., primary, Yu, Hong, additional, Jiang, Xiaozhou, additional, Chan, Queenie W. T., additional, Sigola, Lynette, additional, Millis, Leonard A., additional, Chen, Jiaqi, additional, Tang, Patrick, additional, Foster, Leonard, additional, and Brunham, Robert C., additional
Published: 2024
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38. Relationship of calcium and magnesium intakes with the dietary approaches to stop hypertension score and blood pressure: the International Study of Macro/micronutrients and Blood Pressure

Author: Gibson, Rachel, primary, Aljuraiban, Ghadeer S., additional, Oude-Griep, Linda M., additional, Vu, Thanh-Huyen, additional, Steffen, Lyn M., additional, Appel, Lawrence J., additional, Rodriguez, Beatriz L., additional, Daviglus, Martha L., additional, Elliott, Paul, additional, Van Horn, Linda, additional, and Chan, Queenie, additional
Published: 2023
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39. An interview with Queenie Chan: Aussie queen of manga

Author: Chan, Queenie
Published: 2008

40. Identifying unknown metabolites using NMR-based metabolic profiling techniques

Author: Garcia-Perez, Isabel, Posma, Joram M., Serrano-Contreras, Jose Ivan, Boulangé, Claire L., Chan, Queenie, Frost, Gary, Stamler, Jeremiah, Elliott, Paul, Lindon, John C., Holmes, Elaine, and Nicholson, Jeremy K.
Published: 2020
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41. Nutriome–metabolome relationships provide insights into dietary intake and metabolism

Author: Posma, Joram M., Garcia-Perez, Isabel, Frost, Gary, Aljuraiban, Ghadeer S., Chan, Queenie, Van Horn, Linda, Daviglus, Martha, Stamler, Jeremiah, Holmes, Elaine, Elliott, Paul, and Nicholson, Jeremy K.
Published: 2020
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42. Household transitions to clean energy in a multiprovincial cohort study in China

Author: Carter, Ellison, Yan, Li, Fu, Yu, Robinson, Brian, Kelly, Frank, Elliott, Paul, Wu, Yangfeng, Zhao, Liancheng, Ezzati, Majid, Yang, Xudong, Chan, Queenie, and Baumgartner, Jill
Published: 2020
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43. Different energy transfer efficiencies and buffering capabilities in quadriceps and calves muscles with low-load isotonic exercise detected by dynamic localized phosphorus-31 magnetic resonance spectroscopy

Author: Chen, Fei, Lu, Fang-fei, Yao, Li-zheng, Wang, Hui-ting, Wang, Kun, Han, Peng, Zhang, Qing-lei, Li, Ming, Zhang, Xin, Dai, Zhen-yu, Chan, Queenie, and Zhang, Bing
Published: 2019
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44. Tone slips in Cantonese: Evidence for early phonological encoding

Author: Alderete, John, Chan, Queenie, and Yeung, H. Henny
Published: 2019
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45. Associations between daily air quality and hospitalisations for acute exacerbation of chronic obstructive pulmonary disease in Beijing, 2013–17: an ecological analysis

Author: Liang, Lirong, Cai, Yutong, Barratt, Benjamin, Lyu, Baolei, Chan, Queenie, Hansell, Anna L, Xie, Wuxiang, Zhang, Di, Kelly, Frank J, and Tong, Zhaohui
Published: 2019
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46. Insoluble macromolecular organic matter in the Winchcombe meteorite.

Author: Sephton, Mark A., Chan, Queenie H. S., Watson, Jonathan S., Burchell, Mark J., Spathis, Vassilia, Grady, Monica M., Verchovsky, Alexander B., Abernethy, Feargus A. J., and Franchi, Ian A.
Subjects: *POLYCYCLIC aromatic hydrocarbons, *ORGANIC compounds, *METEORITES, *ORGANIC chemistry, *RAMAN spectroscopy
Abstract: The Winchcombe meteorite fell on February 28, 2021 in Gloucestershire, United Kingdom. As the most accurately recorded carbonaceous chondrite fall, the Winchcombe meteorite represents an opportunity to link a tangible sample of known chemical constitution to a specific region of the solar system whose chemistry can only be otherwise predicted or observed remotely. Winchcombe is a CM carbonaceous chondrite, a group known for their rich and varied abiotic organic chemistry. The rapid collection of Winchcombe provides an opportunity to study a relatively terrestrial contaminant‐limited meteoritic organic assemblage. The majority of the organic matter in CM chondrites is macromolecular in nature and we have performed nondestructive and destructive analyses of Winchcombe by Raman spectroscopy, online pyrolysis–gas chromatography–mass spectrometry (pyrolysis–GC–MS), and stepped combustion. The Winchcombe pyrolysis products were consistent with a CM chondrite, namely aromatic and polycyclic aromatic hydrocarbons, sulfur‐containing units including thiophenes, oxygen‐containing units such as phenols and furans, and nitrogen‐containing units such as pyridine; many substituted/alkylated forms of these units were also present. The presence of phenols in the online pyrolysis products indicated only limited influence from aqueous alteration, which can deplete the phenol precursors in the macromolecule when aqueous alteration is extensive. Raman spectroscopy and stepped combustion also generated responses consistent with a CM chondrite. The pyrolysis–GC–MS data are likely to reflect the more labile and thermally sensitive portions of the macromolecular materials while the Raman and stepped combustion data will also reflect the more refractory and nonpyrolyzable component; hence, we accessed the complete macromolecular fraction of the recently fallen Winchcombe meteorite and revealed a chemical constitution that is similar to other meteorites of the CM group. [ABSTRACT FROM AUTHOR]
Published: 2024
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47. The amino acid and polycyclic aromatic hydrocarbon compositions of the promptly recovered CM2 Winchcombe carbonaceous chondrite.

Author: Chan, Queenie H. S., Watson, Jonathan S., Sephton, Mark A., O'Brien, Áine C., and Hallis, Lydia J.
Subjects: *AMINO acids, *ISOBUTANOL, *GAS chromatography, *POLLUTANTS
Abstract: The rapid recovery of the Winchcombe meteorite offers a valuable opportunity to study the soluble organic matter (SOM) profile in pristine carbonaceous astromaterials. Our interests in the biologically relevant molecules, amino acids—monomers of protein, and the most prevalent meteoritic organics—polycyclic aromatic hydrocarbons (PAHs) are addressed by analyzing the solvent extracts of a Winchcombe meteorite stone using gas chromatography mass spectrometry. The Winchcombe sample contains an amino acid abundance of ~1132 parts‐per‐billion that is about 10 times lower than other CM2 meteorites. The detection of terrestrially rare amino acids, including α‐aminoisobutyric acid (AIB); isovaline; β‐alanine; α‐, β‐, and γ‐amino‐n‐butyric acids; and 5‐aminopentanoic acid, and the racemic enantiomeric ratios (D/L = 1) observed for alanine and isovaline indicate that these amino acids are indigenous to the meteorite and not terrestrial contaminants. The presence of predominantly α‐AIB and isovaline is consistent with their formation via the Strecker‐cyanohydrin synthetic pathway. The L‐enantiomeric excesses in isovaline previously observed for aqueously altered meteorites were viewed as an indicator of parent body aqueous processing; thus, the racemic ratio of isovaline observed for Winchcombe, alongside the overall high free:total amino acid ratio, and the low amino acid concentration suggest that the analyzed stone is derived from a lithology that has experienced brief episode(s) of aqueous alteration. Winchcombe also contains 2‐ to 6‐ring alkylated and nonalkylated PAHs. The low total PAHs abundance (6177 ppb) and high nonalkylated:alkylated ratio are distinct from that observed for heavily aqueously altered CMs. The weak petrographic properties of Winchcombe, as well as the discrepancies observed for the Winchcombe SOM content—a low total amino acid abundance comparable to heavily altered CMs, and yet the high free:total amino acid and nonalkylated:alkylated PAH ratios are on par with the less altered CMs—suggest that Winchcombe could represent a class of weak, poorly lithified meteorite not been previously studied. [ABSTRACT FROM AUTHOR]
Published: 2024
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48. Relationship of calcium and magnesium intakes with the dietary approaches to stop hypertension score and blood pressure: the International Study of Macro/micronutrients and Blood Pressure.

Author: Gibson, Rachel, Aljuraiban, Ghadeer S., Oude Griep, Linda M., Vu, Thanh-Huyen, Steffen, Lyn M., Appel, Lawrence J., Rodriguez, Beatriz L., Daviglus, Martha L., Elliott, Paul, Van Horn, Linda, and Chan, Queenie
Published: 2024
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49. An uncertainty aided framework for learning based liver T 1ρ mapping and analysis

Author: Huang, Chaoxing, primary, Wong, Vincent Wai Sun, additional, Chan, Queenie, additional, Chu, Winnie Chiu Wing, additional, and Chen, Weitian, additional
Published: 2023
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50. The Role of Diet in the Prevention of Hypertension and Management of Blood Pressure: An Umbrella Review of Meta-Analyses of Interventional and Observational Studies

Author: Aljuraiban, Ghadeer S., primary, Gibson, Rachel, additional, Chan, Doris SM., additional, Van Horn, Linda, additional, and Chan, Queenie, additional
Published: 2023
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1,281 results on '"Chan, Queenie"'

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