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Institution

Guangdong Pharmaceutical University

EducationGuangzhou, China
About: Guangdong Pharmaceutical University is a education organization based out in Guangzhou, China. It is known for research contribution in the topics: Apoptosis & Catalysis. The organization has 6649 authors who have published 4732 publications receiving 56474 citations. The organization is also known as: Guǎngdōng yào xuéyuàn.
Topics: Apoptosis, Catalysis, Cancer, Medicine, Cell growth


Papers
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Journal ArticleDOI
TL;DR: This review focuses on the role of PI3K/AKT signalling in the skeletal muscle, adipose tissue, liver, brain and pancreas, and discusses how this signalling pathway affects the development of the aforementioned diseases.
Abstract: Obesity and type 2 diabetes mellitus are complicated metabolic diseases that affect multiple organs and are characterized by hyperglycaemia. Currently, stable and effective treatments for obesity and type 2 diabetes mellitus are not available. Therefore, the mechanisms leading to obesity and diabetes and more effective ways to treat obesity and diabetes should be identified. Based on accumulated evidences, the PI3K/AKT signalling pathway is required for normal metabolism due to its characteristics, and its imbalance leads to the development of obesity and type 2 diabetes mellitus. This review focuses on the role of PI3K/AKT signalling in the skeletal muscle, adipose tissue, liver, brain and pancreas, and discusses how this signalling pathway affects the development of the aforementioned diseases. We also summarize evidences for recently identified therapeutic targets of the PI3K/AKT pathway as treatments for obesity and type 2 diabetes mellitus. PI3K/AKT pathway damaged in various tissues of the body leads to obesity and type 2 diabetes as the result of insulin resistance, and in turn, insulin resistance exacerbates the PI3K/AKT pathway, forming a vicious circle.

711 citations

Journal ArticleDOI
TL;DR: The purpose of this review is to discuss current knowledge of M2b macrophage polarization, the roles of M1 and M1 macrophages in a variety of diseases and the stimuli to modulate M2B macrophAGE polarization.
Abstract: Macrophages play an important role in a wide variety of physiologic and pathologic processes. Plasticity and functional polarization are hallmarks of macrophages. Macrophages commonly exist in two distinct subsets: classically activated macrophages (M1) and alternatively activated macrophages (M2). M2b, a subtype of M2 macrophages, has attracted increasing attention over the past decade due to its strong immune-regulated and anti-inflammatory effects. A wide variety of stimuli and multiple factors modulate M2b macrophage polarization in vitro and in vivo. M2b macrophages possess both protective and pathogenic roles in various diseases. Understanding the mechanisms of M2b macrophage activation and the modulation of their polarization might provide a great perspective for the design of novel therapeutic strategies. The purpose of this review is to discuss current knowledge of M2b macrophage polarization, the roles of M2b macrophages in a variety of diseases and the stimuli to modulate M2b macrophage polarization.

397 citations

Journal ArticleDOI
TL;DR: A retrospective study on 13,981 patients with COVID-19 in Hubei Province, China found that the risk for 28-day all-cause mortality was 5.2% and 9.4% in the matched statin and non-statin groups, respectively, with a hazard ratio 0.58, implying the potential benefits of statin therapy in hospitalized subjects with CO VID-19.

381 citations

Journal ArticleDOI
TL;DR: The methodology of network pharmacology, including network construction, network analysis and network verification, is summarized, expecting to provide new strategy and thinking on study for CM formula.
Abstract: Chinese medicine (CM) is usually prescribed as CM formula to treat disease. The lack of effective research approach makes it difficult to elucidate the molecular mechanisms of CM formula owing to its complicated chemical compounds. Network pharmacology is increasingly applied in CM formula research in recent years, which is identified suitable for the study of CM formula. In this review, we summarized the methodology of network pharmacology, including network construction, network analysis and network verification. The aim of constructing a network is to achieve the interaction between the bioactive compounds and targets and the interaction between various targets, and then find out and validate the key nodes via network analysis and network verification. Besides, we reviewed the application in CM formula research, mainly including targets discovery, bioactive compounds screening, toxicity evaluation, mechanism research and quality control research. Finally, we proposed prospective in the future and limitations of network pharmacology, expecting to provide new strategy and thinking on study for CM formula.

352 citations


Authors

Showing all 6681 results

NameH-indexPapersCitations
Yang Yang1642704144071
Yoshikatsu Kanai9339832381
Xiao Zhang7146320336
Kelvin Chan6026510996
Ai Qun Liu5459411127
De-An Guo5349712782
Guanhua Du5259110878
Lei Chen5221226416
Guangji Wang5052110924
Wei-Dong Zhang4765110861
Guoan Luo452216358
Kun Hu452329567
Luyong Zhang453358064
Suowen Xu401464428
Chaohai Wei402015716
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202255
2021732
2020691
2019526
2018437