Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Qiuhua Zeng"'
Autor:
Jun Sun, Qiuhua Zeng, Zhimin Wu, Zhangyu Li, Qun Gao, Zhi Liao, Hao Li, Cong Ling, Chuan Chen, Hui Wang, Baoyu Zhang
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-21 (2024)
Abstract Background Endothelial cell (EC)-driven intraneural revascularization (INRV) and Schwann cells-derived exosomes (SCs-Exos) both play crucial roles in peripheral nerve injury (PNI). However, the interplay between them remains unclear. We aime
Externí odkaz:
https://doaj.org/article/6f82e3d959aa41ffa989ef3880472658
Autor:
Jun Sun, Qiuhua Zeng, Zhimin Wu, Lixin Huang, Tao Sun, Cong Ling, Baoyu Zhang, Chuan Chen, Hui Wang
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Background and purpose The triglyceride-glucose (TyG) index, a novel reliable biomarker for IR that incorporates blood glucose and triglyceride, is linked to intracranial atherosclerotic stenosis (ICAS). In this study, we aimed to further investigate
Externí odkaz:
https://doaj.org/article/7bbb73b6858c4b369bf5912126698902
Autor:
Tao Sun, Qiuhua Zeng, Lixin Huang, Jun Sun, Zhimin Wu, Baoyu Zhang, Cong Ling, Chuan Chen, Hui Wang
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Objective Despite revascularization has been proven to be the optimal choice of moyamoya disease (MMD), many complications may occur in this context.. This study aimed to analyse the risk factors for new or expanded symptomatic infarctions of patient
Externí odkaz:
https://doaj.org/article/0f642e0045cd4036be4e5f402240d2f3
Autor:
Jun Sun, Qiuhua Zeng, Zhimin Wu, Lixin Huang, Tao Sun, Cong Ling, Baoyu Zhang, Chuan Chen, Hui Wang
Publikováno v:
Neurotherapeutics, Vol 21, Iss 4, Pp e00347- (2024)
Berberine (BBR) has demonstrated potent anti-inflammatory effects by modulating macrophage polarization. Nevertheless, the precise mechanisms through which berberine regulates post-injury inflammation within the peripheral nerve system remain elusive
Externí odkaz:
https://doaj.org/article/ff628ba79a7144199ca8ad1660ad0915
Autor:
Zeng Xiong, Yi-Hui Li, Scott Collins, Kasey Halsey, Xue Feng, Michael K. Atalay, Harrison X. Bai, Robin Wang, Ian Pan, Tao Liu, Fei-Xian Fu, Qizhi Yu, Paul J. Zhang, Ken Chang, Ji Whae Choi, Terrance T. Healey, Ping-Feng Hu, Dongcui Wang, Li Yang, Jianxin Wang, Raymond Y. Huang, Jie Liu, Thi My Linh Tran, Zhicheng Jiao, Shuai Yang, Xiaoping Yi, Qiuhua Zeng, Ronnie Sebro, Weihua Liao, Lin-Bo Shi, Xiao-Long Jiang, Jing Wu, Liping Zhu, Yong Fan
Publikováno v:
European Radiology
Objectives Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3719d6d8854394be161a31a6c5163ddd
https://doi.org/10.1007/s00330-021-08049-8
https://doi.org/10.1007/s00330-021-08049-8
Autor:
Huafei Zhao, Zhichao Feng, Kai Gao, Ji Mei, Xiaowen Mao, Xiaoqian Ma, Wenming Zhou, Lindy Williams, Qizhi Yu, Dewen Hu, Dali Yi, Qiuhua Zeng, Shanhu Yao, Qin Liu, Hui Shen, Huiling Li, Wei Wang, Jianpo Su, Pengfei Rong, Junhong Duan, Xin Ouyang, Zhimin Yan
Publikováno v:
European Radiology
Objectives To develop and validate a machine learning model for the prediction of adverse outcomes in hospitalized patients with COVID-19. Methods We included 424 patients with non-severe COVID-19 on admission from January 17, 2020, to February 17, 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd54e24758b928d0da449155047e979
https://doi.org/10.1007/s00330-021-07957-z
https://doi.org/10.1007/s00330-021-07957-z
Autor:
Jincai Liu, Zhichao Feng, Ji Mei, Qiuhua Zeng, Qizhi Yu, Wenming Zhou, Wendi Kang, Huiling Li, Wei Wang, Xiaowen Mao, Jennifer Li, Xiaoqian Ma, Pengfei Rong, Shanhu Yao, Xin Ouyang
Publikováno v:
Aging and Disease
Coronavirus disease 2019 (COVID-19) is a global pandemic associated with a high mortality. Our study aimed to determine the clinical risk factors associated with disease progression and prolonged viral shedding in patients with COVID-19. Consecutive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fcd1e2200a000810c7228eb148b5eb4
http://europepmc.org/articles/PMC7505267
http://europepmc.org/articles/PMC7505267
Autor:
Thi My Linh Tran, Ping-Feng Hu, Yi-Hui Li, Zeng Xiong, Ji Mei, Ben Hsieh, Qizhi Yu, Dongcui Wang, Fei-Xian Fu, Ronnie Sebro, Weihua Liao, Ji Whae Choi, Raymond Y. Huang, Kasey Halsey, Lin-Bo Shi, Michael K. Atalay, Harrison X. Bai, Xiao-Long Jiang, Ken Chang, Qiuhua Zeng, Ian Pan, Robin Wang
Publikováno v:
Radiology
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a20983294c53fcd2caa0609560f8675f
https://doi.org/10.1148/radiol.2020201491
https://doi.org/10.1148/radiol.2020201491
Autor:
Xiaoping Yi, Harrison X. Bai, Ping-Feng Hu, Liping Zhu, Fangfang Xie, Haipeng Liu, Wanxiang Peng, Yi-Hui Li, Dongcui Wang, Bihong T. Chen, Ji Mei, Weihua Liao, Lin-Bo Shi, Jie Liu, Qiuhua Zeng, Xiao-Long Jiang, Peipei Pang
Publikováno v:
Clinical Nutrition (Edinburgh, Scotland)
Background About 10–20% of patients with Coronavirus disease 2019 (COVID-19) infection progressed to severe illness within a week or so after initially diagnosed as mild infection. Identification of this subgroup of patients was crucial for early a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ae4bdaca1ab29893b91b075a69a43f5
https://pubmed.ncbi.nlm.nih.gov/34147286
https://pubmed.ncbi.nlm.nih.gov/34147286
Autor:
Xin Ouyang, Ji Mei, Hui Shen, Zhimin Yang, Huafei Zhao, Qizhi Yu, Zhichao Feng, Xiaoqian Ma, Jianpo Su, Xiaowen Mao, Qing Liu, Junhong Duan, Qiuhua Zeng, Dewen Hu, Wei Wang, Huiling Li, Dali Yi, Wenming Zhou, Pengfei Rong, Shanhu Yao, Kai Gao
Publikováno v:
SSRN Electronic Journal.
Background: Early identification of patients at risk of developing severe illness and timely interventions to prevent deterioration have the potential to impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e12fb077dcb083c5fe1e937b61a4147
https://doi.org/10.2139/ssrn.3605076
https://doi.org/10.2139/ssrn.3605076