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Your search keyword '"Su Zhenqiang"' showing total 8 results
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8 results on '"Su Zhenqiang"'

1. Association between preoperative frailty and myocardial injury after noncardiac surgery in geriatric patients: study protocol for a prospective, multicentre, real-world observational, cohort trial

Author

Sun, Yongtao, Guo, Na, Zhang, Min, Liu, Mengjie, Gao, Zhongquan, Sun, Tao, Gao, Xiaojun, Xu, Lingling, Zhang, Haixia, Wei, Chuansong, Liu, Peng, Liu, Yang, Zhang, Xiaoning, Guo, Yongle, Chen, Lina, Zhou, Zheng, Su, Zhenqiang, Hu, Yanmei, Shi, Xin, Huang, Linlin, and Wang, Yuelan

Published
2024
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3. A randomized phase 2 study of sapanisertib in combination with paclitaxel versus paclitaxel alone in women with advanced, recurrent, or persistent endometrial cancer

Author

Han, Sileny N., Oza, Amit, Colombo, Nicoletta, Oaknin, Ana, Raspagliesi, Francesco, Wenham, Robert M., Braicu, Elena Ioana, Jewell, Andrea, Makker, Vicky, Krell, Jonathan, Alía, Eva María Guerra, Baurain, Jean-François, Su, Zhenqiang, Neuwirth, Rachel, Vincent, Sylvie, Sedarati, Farhad, Faller, Douglas V., and Scambia, Giovanni

Published
2023
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4. Assessing reproducibility of inherited variants detected with short-read whole genome sequencing

Author

Pan, Bohu, Ren, Luyao, Onuchic, Vitor, Guan, Meijian, Kusko, Rebecca, Bruinsma, Steve, Trigg, Len, Scherer, Andreas, Ning, Baitang, Zhang, Chaoyang, Glidewell-Kenney, Christine, Xiao, Chunlin, Donaldson, Eric, Sedlazeck, Fritz J., Schroth, Gary, Yavas, Gokhan, Grunenwald, Haiying, Chen, Haodong, Meinholz, Heather, Meehan, Joe, Wang, Jing, Yang, Jingcheng, Foox, Jonathan, Shang, Jun, Miclaus, Kelci, Dong, Lianhua, Shi, Leming, Mohiyuddin, Marghoob, Pirooznia, Mehdi, Gong, Ping, Golshani, Rooz, Wolfinger, Russ, Lababidi, Samir, Sahraeian, Sayed Mohammad Ebrahim, Sherry, Steve, Han, Tao, Chen, Tao, Shi, Tieliu, Hou, Wanwan, Ge, Weigong, Zou, Wen, Guo, Wenjing, Bao, Wenjun, Xiao, Wenzhong, Fan, Xiaohui, Gondo, Yoichi, Yu, Ying, Zhao, Yongmei, Su, Zhenqiang, Liu, Zhichao, Tong, Weida, Xiao, Wenming, Zook, Justin M., Zheng, Yuanting, and Hong, Huixiao

Published
2022
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8. Combined miRNA transcriptome and proteome analysis of extracellular vesicles in urine and blood from the Pompe mouse model.

Author

Merberg D, Moreland R, Su Z, Li B, Crooker B, Palmieri K, Moore SW, Melber A, Boyanapalli R, Carey G, and Makhija M

Subjects
Animals, Mice, Extracellular Vesicles metabolism, Exosomes metabolism, Exosomes genetics, Biomarkers urine, Biomarkers blood, Male, alpha-Glucosidases genetics, alpha-Glucosidases urine, alpha-Glucosidases blood, alpha-Glucosidases metabolism, Genetic Therapy methods, MicroRNAs blood, MicroRNAs urine, Glycogen Storage Disease Type II genetics, Glycogen Storage Disease Type II blood, Glycogen Storage Disease Type II urine, Disease Models, Animal, Proteome metabolism, Transcriptome
Abstract

Introduction: Acid α-glucosidase (GAA) is a lysosomal enzyme that hydrolyzes glycogen to glucose. Deficiency of GAA causes Pompe disease (PD), also known as glycogen storage disease type II. The resulting glycogen accumulation causes a spectrum of disease severity ranging from infantile-onset PD to adult-onset PD. Additional non-invasive biomarkers of disease severity are needed to monitor response to therapeutic interventions., Methods: We measured protein and miRNA abundance in exosomes from serum and urine from the PD mouse model (B6;129-GaaTm1Rabn/J), wild-type mice, and PD mice treated with a candidate gene therapy., Results: There were significant differences in the abundance of 113 miRNA in serum exosomes from Pompe versus healthy mice. Levels of miR-206, miR-133, miR-1a, miR-486, and other important regulators of muscle development and maintenance were altered in the Pompe samples. The serum and urine exosome proteomes of healthy and Pompe mice also differed broadly. Several of the dysregulated proteins are encoded by genes with potential target sites for affected miRNA., Conclusion: Exosomes derived from urine or serum are a potential source of biomarkers for Pompe Disease. Further study of the differences in the miRNA transcriptome and proteome content of exosomes may yield new insights into disease mechanisms.

Published
2024
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