6 results on '"Yu, Jinhua"'
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2. Additional file 1 of Circular RNA SIPA1L1 promotes osteogenesis via regulating the miR-617/Smad3 axis in dental pulp stem cells
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Xingyun Ge, Zehan Li, Zhou, Zhou, Yibo Xia, Minxia Bian, and Yu, Jinhua
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stomatognathic system - Abstract
Additional file 1: Figure S1. Phenotype identification of DPSCs. A. Morphology of primary generation DPSCs B. Flow cytometry showed that DPSCs were negative for hematopoietic markers of CD34 and CD45. C. Flow cytometry demonstrated that DPSCs presented positive for CD29, CD73, CD90 and CD105. D. Trilineage differentiation (adipogenic, osteogenic and chondrogenic differentiations) of DPSCs analyzed by Oil red O staining, Alizarin red S staining and Alcian blue staining respectively. Immunofluorescence assay revealed that cultured DPSCs were positive for STRO-1. Scale bar = 100 μm. Figure S2. CircSIPA1L1 have no effect on DPSCs proliferation. A. Cell cycle phases in different group for proliferation index (PI=G2M+S) by flow cytometry analysis. B-D. EdU assay showed no significant difference in EdU-positive cell ratio between NC group and circSIPA1L1 group or between the Si-NC, Si-circSIPA1L1-1 and Si-circSIPA1L1-3 groups (N.S., P > 0.05). E, F. The influences of circSIPA1L1 on the cell proliferation capability was detected at 450 nm with CCK-8. CCK-8 assay showed no significant difference in cell proliferation between NC group and circSIPA1L1 group or between the Si-NC, Si-circSIPA1L1-1 and Si-circSIPA1L1-3 groups from 0 to 9 days (P>.05). CCK-8, cell counting kit-8; DPSCs, dental pulp stem cells; EdU, 5-ethynyl-20-deoxyuridine assay; PI, propidium iodide. N.S: P > 0.05.
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- 2020
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3. Post-marketing safety surveillance and reevaluation of Motherwort injection: A clinical study of 10 094 cases
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Duan Zhentao, Li Hongying, Ji Shuying, Ma Dafeng, Cui Shihong, Xi Jie, Wang Hong-wu, Ding Guifeng, Zhang Wenhao, Xu Minjuan, Yuan Wenjun, Xu Zhihong, Liao Tao, Deng Jihong, Yin Jie, Heng Mingli, Ding Yajuan, Bu Huaien, He Jing, Yang Cuirong, Cai Yan, Sun Xiaotong, Fan Yang, Sun Juying, Zhang Guanli, Ma Yuyan, Shi Tianyun, Dong Linhong, Cao Shan, Yan Qian, Zhao Ziwei, Wang Zhengling, Wang Jinhua, Li Hong, Zhou Jian, Teng Hong, Wang Zhong, Wang Ying, Jin Lin, Liu Xinghui, Yang Yimei, Zhang Meihua, Ma Fengchun, Zhao Renfeng, Lv Zhihui, Zhong Yonghong, Lu Wei, Fan Ling, Luo Xiucui, Wang Ruihua, Yu Jinhua, and Fu Fen
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medicine.medical_specialty ,Nausea ,business.industry ,Incidence (epidemiology) ,General Medicine ,Abdominal distension ,Motherwort ,030226 pharmacology & pharmacy ,Rash ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Internal medicine ,Heart rate ,medicine ,Chills ,medicine.symptom ,business ,Adverse effect - Abstract
OBJECTIVE To investigate the safety profiles of Motherwort injection (MI). METHODS A multi-center, prospective and drug-derived hospital intensive monitoring method was conducted to assess the safety of MI in real world applications. This study was based on a very large population after the injection was approved and marketed in China. All patients using the injection in participating hospitals were monitored to determine the incidence, pattern, severity and outcome of associated adverse events. RESULTS The post-marketing surveillance was performed in 10 094 female patients from April to December, 2015. The incidence of adverse drug reactions (ADRs) was 0.79‰ (8/10 094). Among the 8 patients, the reported adverse events mainly included systemic abnormalities, such as fever, chills and eyelid edema; skin and appendages disorders, such as pruritus and rash; gastrointestinal disorders, such as nausea, abdominal distension and pain; heart rate and rhythm disorders, such as palpitation and increased heart rate. All of these ADRs were mild in severity. CONCLUSION In this study the ADRs incidence rate of MI is very low, which supports that it is generally safe for use in obstetric and gynecological diseases. However, the total number of 8 ADRs recorded over a relatively short time span seems limited, and the low number of reports could not represent an absolute guarantee of safety.
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- 2018
4. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
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Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras, Bauer, Stefan, Rempfler, Markus, Crimi, Alessandro, Shinohara, Russell Takeshi, Berger, Christoph, Ha, Sung Min, Rozycki, Martin, Prastawa, Marcel, Alberts, Esther, Lipkova, Jana, Freymann, John, Kirby, Justin, Bilello, Michel, Fathallah-Shaykh, Hassan, Wiest, Roland, Kirschke, Jan, Wiestler, Benedikt, Colen, Rivka, Kotrotsou, Aikaterini, Lamontagne, Pamela, Marcus, Daniel, Milchenko, Mikhail, Nazeri, Arash, Weber, Marc-Andre, Mahajan, Abhishek, Baid, Ujjwal, Gerstner, Elizabeth, Kwon, Dongjin, Acharya, Gagan, Agarwal, Manu, Alam, Mahbubul, Albiol, Alberto, Albiol, Antonio, Albiol, Francisco J, Alex, Varghese, Allinson, Nigel, Amorim, Pedro HA, Amrutkar, Abhijit, Anand, Ganesh, Andermatt, Simon, Arbel, Tal, Arbelaez, Pablo, Avery, Aaron, Azmat, Muneeza, Pranjal, B, Bai, W, Banerjee, Subhashis, Barth, Bill, Batchelder, Thomas, Batmanghelich, Kayhan, Battistella, Enzo, Beers, Andrew, Belyaev, Mikhail, Bendszus, Martin, Benson, Eze, Bernal, Jose, Bharath, Halandur Nagaraja, Biros, George, Bisdas, Sotirios, Brown, James, Cabezas, Mariano, Cao, Shilei, Cardoso, Jorge M, Carver, Eric N, Casamitjana, Adrià, Castillo, Laura Silvana, Catà, Marcel, Cattin, Philippe, Cerigues, Albert, Chagas, Vinicius S, Chandra, Siddhartha, Chang, Yi-Ju, Chang, Shiyu, Chang, Ken, Chazalon, Joseph, Chen, Shengcong, Chen, Wei, Chen, Jefferson W, Chen, Zhaolin, Cheng, Kun, Choudhury, Ahana Roy, Chylla, Roger, Clérigues, Albert, Colleman, Steven, Colmeiro, Ramiro German Rodriguez, Combalia, Marc, Costa, Anthony, Cui, Xiaomeng, Dai, Zhenzhen, Dai, Lutao, Daza, Laura Alexandra, Deutsch, Eric, Ding, Changxing, Dong, Chao, Dong, Shidu, Dudzik, Wojciech, Eaton-Rosen, Zach, Egan, Gary, Escudero, Guilherme, Estienne, Théo, Everson, Richard, Fabrizio, Jonathan, Fan, Yong, Fang, Longwei, Feng, Xue, Ferrante, Enzo, Fidon, Lucas, Fischer, Martin, French, Andrew P, Fridman, Naomi, Fu, Huan, Fuentes, David, Gao, Yaozong, Gates, Evan, Gering, David, Gholami, Amir, Gierke, Willi, Glocker, Ben, Gong, Mingming, González-Villá, Sandra, Grosges, T, Guan, Yuanfang, Guo, Sheng, Gupta, Sudeep, Han, Woo-Sup, Han, Il Song, Harmuth, Konstantin, He, Huiguang, Hernández-Sabaté, Aura, Herrmann, Evelyn, Himthani, Naveen, Hsu, Winston, Hsu, Cheyu, Hu, Xiaojun, Hu, Xiaobin, Hu, Yan, Hu, Yifan, Hua, Rui, Huang, Teng-Yi, Huang, Weilin, Huffel, Sabine Van, Huo, Quan, Vivek, HV, Iftekharuddin, Khan M, Isensee, Fabian, Islam, Mobarakol, Jackson, Aaron S, Jambawalikar, Sachin R, Jesson, Andrew, Jian, Weijian, Jin, Peter, Jose, V Jeya Maria, Jungo, Alain, Kainz, B, Kamnitsas, Konstantinos, Kao, Po-Yu, Karnawat, Ayush, Kellermeier, Thomas, Kermi, Adel, Keutzer, Kurt, Khadir, Mohamed Tarek, Khened, Mahendra, Kickingereder, Philipp, Kim, Geena, King, Nik, Knapp, Haley, Knecht, Urspeter, Kohli, Lisa, Kong, Deren, Kong, Xiangmao, Koppers, Simon, Kori, Avinash, Krishnamurthi, Ganapathy, Krivov, Egor, Kumar, Piyush, Kushibar, Kaisar, Lachinov, Dmitrii, Lambrou, Tryphon, Lee, Joon, Lee, Chengen, Lee, Yuehchou, Lee, M, Lefkovits, Szidonia, Lefkovits, Laszlo, Levitt, James, Li, Tengfei, Li, Hongwei, Li, Wenqi, Li, Hongyang, Li, Xiaochuan, Li, Yuexiang, Li, Heng, Li, Zhenye, Li, Xiaoyu, Li, Zeju, Li, XiaoGang, Lin, Zheng-Shen, Lin, Fengming, Lio, Pietro, Liu, Chang, Liu, Boqiang, Liu, Xiang, Liu, Mingyuan, Liu, Ju, Liu, Luyan, Llado, Xavier, Lopez, Marc Moreno, Lorenzo, Pablo Ribalta, Lu, Zhentai, Luo, Lin, Luo, Zhigang, Ma, Jun, Ma, Kai, Mackie, Thomas, Madabushi, Anant, Mahmoudi, Issam, Maier-Hein, Klaus H, Maji, Pradipta, Mammen, CP, Mang, Andreas, Manjunath, BS, Marcinkiewicz, Michal, McDonagh, S, McKenna, Stephen, McKinley, Richard, Mehl, Miriam, Mehta, Sachin, Mehta, Raghav, Meier, Raphael, Meinel, Christoph, Merhof, Dorit, Meyer, Craig, Miller, Robert, Mitra, Sushmita, Moiyadi, Aliasgar, Molina-Garcia, David, Monteiro, Miguel AB, Mrukwa, Grzegorz, Myronenko, Andriy, Nalepa, Jakub, Ngo, Thuyen, Nie, Dong, Ning, Holly, Niu, Chen, Nuechterlein, Nicholas K, Oermann, Eric, Oliveira, Arlindo, Oliveira, Diego DC, Oliver, Arnau, Osman, Alexander FI, Ou, Yu-Nian, Ourselin, Sebastien, Paragios, Nikos, Park, Moo Sung, Paschke, Brad, Pauloski, J Gregory, Pawar, Kamlesh, Pawlowski, Nick, Pei, Linmin, Peng, Suting, Pereira, Silvio M, Perez-Beteta, Julian, Perez-Garcia, Victor M, Pezold, Simon, Pham, Bao, Phophalia, Ashish, Piella, Gemma, Pillai, GN, Piraud, Marie, Pisov, Maxim, Popli, Anmol, Pound, Michael P, Pourreza, Reza, Prasanna, Prateek, Prkovska, Vesna, Pridmore, Tony P, Puch, Santi, Puybareau, Élodie, Qian, Buyue, Qiao, Xu, Rajchl, Martin, Rane, Swapnil, Rebsamen, Michael, Ren, Hongliang, Ren, Xuhua, Revanuru, Karthik, Rezaei, Mina, Rippel, Oliver, Rivera, Luis Carlos, Robert, Charlotte, Rosen, Bruce, Rueckert, Daniel, Safwan, Mohammed, Salem, Mostafa, Salvi, Joaquim, Sanchez, Irina, Sánchez, Irina, Santos, Heitor M, Sartor, Emmett, Schellingerhout, Dawid, Scheufele, Klaudius, Scott, Matthew R, Scussel, Artur A, Sedlar, Sara, Serrano-Rubio, Juan Pablo, Shah, N Jon, Shah, Nameetha, Shaikh, Mazhar, Shankar, B Uma, Shboul, Zeina, Shen, Haipeng, Shen, Dinggang, Shen, Linlin, Shen, Haocheng, Shenoy, Varun, Shi, Feng, Shin, Hyung Eun, Shu, Hai, Sima, Diana, Sinclair, M, Smedby, Orjan, Snyder, James M, Soltaninejad, Mohammadreza, Song, Guidong, Soni, Mehul, Stawiaski, Jean, Subramanian, Shashank, Sun, Li, Sun, Roger, Sun, Jiawei, Sun, Kay, Sun, Yu, Sun, Guoxia, Sun, Shuang, Suter, Yannick R, Szilagyi, Laszlo, Talbar, Sanjay, Tao, Dacheng, Teng, Zhongzhao, Thakur, Siddhesh, Thakur, Meenakshi H, Tharakan, Sameer, Tiwari, Pallavi, Tochon, Guillaume, Tran, Tuan, Tsai, Yuhsiang M, Tseng, Kuan-Lun, Tuan, Tran Anh, Turlapov, Vadim, Tustison, Nicholas, Vakalopoulou, Maria, Valverde, Sergi, Vanguri, Rami, Vasiliev, Evgeny, Ventura, Jonathan, Vera, Luis, Vercauteren, Tom, Verrastro, CA, Vidyaratne, Lasitha, Vilaplana, Veronica, Vivekanandan, Ajeet, Wang, Guotai, Wang, Qian, Wang, Chiatse J, Wang, Weichung, Wang, Duo, Wang, Ruixuan, Wang, Yuanyuan, Wang, Chunliang, Wen, Ning, Wen, Xin, Weninger, Leon, Wick, Wolfgang, Wu, Shaocheng, Wu, Qiang, Wu, Yihong, Xia, Yong, Xu, Yanwu, Xu, Xiaowen, Xu, Peiyuan, Yang, Tsai-Ling, Yang, Xiaoping, Yang, Hao-Yu, Yang, Junlin, Yang, Haojin, Yang, Guang, Yao, Hongdou, Ye, Xujiong, Yin, Changchang, Young-Moxon, Brett, Yu, Jinhua, Yue, Xiangyu, Zhang, Songtao, Zhang, Angela, Zhang, Kun, Zhang, Xuejie, Zhang, Lichi, Zhang, Xiaoyue, Zhang, Yazhuo, Zhang, Lei, Zhang, Jianguo, Zhang, Xiang, Zhang, Tianhao, Zhao, Sicheng, Zhao, Yu, Zhao, Xiaomei, Zhao, Liang, Zheng, Yefeng, Zhong, Liming, Zhou, Chenhong, Zhou, Xiaobing, Zhou, Fan, Zhu, Hongtu, Zhu, Jin, Zhuge, Ying, Zong, Weiwei, Kalpathy-Cramer, Jayashree, Farahani, Keyvan, Davatzikos, Christos, Leemput, Koen Van, and Menze, Bjoern
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,Artificial Intelligence (cs.AI) ,Computer Science - Artificial Intelligence ,Statistics - Machine Learning ,Computer Vision and Pattern Recognition (cs.CV) ,cs.LG ,Computer Science - Computer Vision and Pattern Recognition ,Machine Learning (stat.ML) ,cs.AI ,stat.ML ,cs.CV ,Machine Learning (cs.LG) - Abstract
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset., Comment: The International Multimodal Brain Tumor Segmentation (BraTS) Challenge
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- 2018
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5. Estrogen-mediated dental tissue regeneration
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Lu, Yadie, Jin, Lin, Lei, Gang, Fu, Yujin, Wang, Yanqiu, and Yu, Jinhua
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stomatognathic diseases ,stomatognathic system ,Osteogenic differentiation ,Proliferation ,Dental mesenchymal stem cells ,6 - Ciencias aplicadas::61 - Medicina::616 - Patología. Medicina clínica. Oncología [CDU] ,Tooth regeneration ,Estrogen ,hormones, hormone substitutes, and hormone antagonists - Abstract
As the key regulator of hard tissue metabolism in both men and women, estrogen regulates the processes necessary for cell growth, proliferation, and differentiation through estrogen receptor (ER). Estrogen deficiency usually causes systemic osteoporosis not only in long bones but also in jaw bones, and exogenous estrogen can enhance the osteogenic potential of mesenchymal stem cells. Dental mesenchymal stem cells (DMSCs) represent a group of stem cells isolated from different parts of the tooth, including dental pulps, apical papillae and periodontal ligaments. A number of studies have proved that estrogen plays an important role in the proliferation, differentiation and tissue regeneration of human DMSCs. Thus, this review will focus on the effects of estrogen on proliferation, apoptosis, and differentiation of dental stem cells, discuss evidence from studies in rodents that estrogen plays an important role in dental morphogenesis as well as periodontal remodeling, and suggest directions for future studies in estrogen-related tooth regeneration.
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- 2016
6. Preparation and electrochemical properties of polysulfide polypyrrole
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Zhang Lan, Zhang Shi chao, and Yu Jinhua
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chemistry.chemical_classification ,Materials science ,Renewable Energy, Sustainability and the Environment ,Energy Engineering and Power Technology ,chemistry.chemical_element ,Lithium–sulfur battery ,Polymer ,Conductivity ,Electrochemistry ,Polypyrrole ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Cathode material ,Polymer chemistry ,Lithium ,Electrical and Electronic Engineering ,Physical and Theoretical Chemistry ,Polysulfide - Abstract
A novel cathode material, polysulfide polypyrrole was successfully designed and synthesized for high-energy lithium–sulfur secondary batteries. The product was characterized by FT-IR, element analysis and DSC. Character results show that the polymer was obtained with polypyrrole as backbone and S–S side groups attached to it. Polypyrrole backbone in this polymer was used not only as container but also as conductivity passage. Cycle performances of the polymer was examined as active cathode material in lithium batteries, charge–discharge experimental results indicate that the polymer has a specific capacity of 515 mAh g −1 at the first cycle and 452 mAh g −1 at the 20th cycle. The improved cycle properties compared to other polymer disulfides and polysulfide polymers supply a good foundation for practical application of this material in rechargeable lithium batteries.
- Published
- 2011
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