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Institution

Zhejiang Chinese Medical University

EducationHangzhou, Zhejiang, China
About: Zhejiang Chinese Medical University is a education organization based out in Hangzhou, Zhejiang, China. It is known for research contribution in the topics: Apoptosis & Cancer. The organization has 8512 authors who have published 5672 publications receiving 60350 citations.


Papers
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Journal ArticleDOI
TL;DR: The 2019 novel coronavirus (2019‐nCoV) infection is spreading and its incidence is increasing nationwide, and the first deaths occurred mostly in elderly people, among whom the disease might progress faster.
Abstract: To help health workers and the public recognize and deal with the 2019 novel coronavirus (2019-nCoV) quickly, effectively, and calmly with an updated understanding. A comprehensive search from Chinese and worldwide official websites and announcements was performed between 1 December 2019 and 9:30 am 26 January 2020 (Beijing time). A latest summary of 2019-nCoV and the current outbreak was drawn. Up to 24 pm, 25 January 2020, a total of 1975 cases of 2019-nCoV infection were confirmed in mainland China with a total of 56 deaths having occurred. The latest mortality was approximately 2.84% with a total of 2684 cases still suspected. The China National Health Commission reported the details of the first 17 deaths up to 24 pm, 22 January 2020. The deaths included 13 males and 4 females. The median age of the people who died was 75 (range 48-89) years. Fever (64.7%) and cough (52.9%) were the most common first symptoms among those who died. The median number of days from the occurence of the first symptom to death was 14.0 (range 6-41) days, and it tended to be shorter among people aged 70 years or more (11.5 [range 6-19] days) than those aged less than 70 years (20 [range 10-41] days; P = .033). The 2019-nCoV infection is spreading and its incidence is increasing nationwide. The first deaths occurred mostly in elderly people, among whom the disease might progress faster. The public should still be cautious in dealing with the virus and pay more attention to protecting the elderly people from the virus.

1,130 citations

Journal ArticleDOI
30 Jul 2015-Nature
TL;DR: Using low-coverage whole-genome sequencing of 5,303 Chinese women with recurrent MDD selected to reduce phenotypic heterogeneity, and 5,337 controls screened to exclude MDD, two loci contributing to risk of MDD on chromosome 10 are identified: one near the SIRT1 gene and the other in an intron of the LHPP gene.
Abstract: Genomic analysis of 5,303 Chinese women with recurrent major depressive disorder (MDD) enables the identification and replication of two genome-wide significant loci contributing to risk of MDD on chromosome 10: one near the SIRT1 gene; the other in an intron of the LHPP gene.

745 citations

Journal ArticleDOI
TL;DR: It is shown that SARS-Cov-2 selectively induces a high level of IL-6 and results in the exhaustion of lymphocytes, and the current evidence indicates that tocilizumab, an IL- 6 inhibitor, is relatively effective and safe.
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) is the pathogen that causes coronavirus disease 2019 (COVID-19). As of 25 May 2020, the outbreak of COVID-19 has caused 347,192 deaths around the world. The current evidence showed that severely ill patients tend to have a high concentration of pro-inflammatory cytokines, such as interleukin (IL)-6, compared to those who are moderately ill. The high level of cytokines also indicates a poor prognosis in COVID-19. Besides, excessive infiltration of pro-inflammatory cells, mainly involving macrophages and T-helper 17 cells, has been found in lung tissues of patients with COVID-19 by postmortem examination. Recently, increasing studies indicate that the "cytokine storm" may contribute to the mortality of COVID-19. Here, we summarize the clinical and pathologic features of the cytokine storm in COVID-19. Our review shows that SARS-Cov-2 selectively induces a high level of IL-6 and results in the exhaustion of lymphocytes. The current evidence indicates that tocilizumab, an IL-6 inhibitor, is relatively effective and safe. Besides, corticosteroids, programmed cell death protein (PD)-1/PD-L1 checkpoint inhibition, cytokine-adsorption devices, intravenous immunoglobulin, and antimalarial agents could be potentially useful and reliable approaches to counteract cytokine storm in COVID-19 patients.

744 citations

Journal ArticleDOI
TL;DR: An overview of the molecular mechanisms of TGF-β/Smad signaling pathway in renal, hepatic, pulmonary and cardiac fibrosis is presented and particular challenges are presented and placed within the context of future applications against tissue fibrosis.

536 citations

Journal ArticleDOI
TL;DR: This Review provides an introduction to lipidomics and describes some common, but important, cellular metabolic networks that can aid the understanding of metabolic pathways.
Abstract: Many thousands of lipid species exist and their metabolism is interwoven via numerous pathways and networks. These networks can also change in response to cellular environment alterations, such as exercise or development of a disease. Measuring such alterations and understanding the pathways involved is crucial to fully understand cellular metabolism. Such demands have catalysed the emergence of lipidomics, which enables the large-scale study of lipids using the principles of analytical chemistry. Mass spectrometry, largely due to its analytical power and rapid development of new instruments and techniques, has been widely used in lipidomics and greatly accelerated advances in the field. This Review provides an introduction to lipidomics and describes some common, but important, cellular metabolic networks that can aid our understanding of metabolic pathways. Some representative applications of lipidomics for studying lipid metabolism and metabolic diseases are highlighted, as well as future applications for the use of lipidomics in studying metabolic pathways.

446 citations


Authors

Showing all 8577 results

NameH-indexPapersCitations
Di Wu8796548697
Xianlin Han8231425095
Jian Kong6032912055
Xue Li5957215477
Jiming Chen5832912220
Di Chen542019320
Hai-Liang Zhu4856810484
Reiko Nishihara471329489
Qinghua Sun471297584
Lu-Ping Qin472297060
Zhong Chen4630012212
Yong Zhu461217380
Jie Yu442147681
Chuanglong He441566146
Na Li422656657
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
202291
20211,257
2020981
2019740
2018527