1.Research progress of liver sinusoidal endothelial cells in the regulation of liver microenvironment to affect liver fibrosis
Xiuxiu DENG ; Hui LI ; Zefeng ZHANG ; Qunli GU
Chinese Journal of Hepatology 2020;28(4):357-360
Liver sinusoidal endothelial cells (LSECs) are not only important intermediary cells for substance exchange between blood and hepatocytes, but also important hepatic non-parenchymal cells to cause liver fibrosis and cirrhosis because of chronic liver injury factors. It mainly regulates the liver microcirculation and participates in the development of hepatic fibrosis by interacting with hepatic stellate cells (HSCs), hepatocytes, Kupffer cells and mediating hepatic stiffness and hepatic angiogenesis. Hence, clarifying these mechanisms will help to explore new targets and strategies for the treatment of liver fibrosis.
2.Research advances in the association between activating transcription factor 3 and chronic liver diseases
Qunli GU ; Hui LI ; Xiuxiu DENG ; Zijian ZENG ; Haijian DONG
Journal of Clinical Hepatology 2021;37(9):2236-2240
Activating transcription factor 3 (ATF3) belongs to the transcription factor ATF/CREB family and is a stress-induced adaptive response gene. ATF3 is involved in the regulation of various cell activities to adapt to the changes in intracellular and extracellular environments. Recent studies have shown that ATF3 plays an important role in the development and progression of various chronic liver diseases, including nonalcoholic fatty liver disease, liver fibrosis, and liver cancer, by regulating gluconeogenesis, lipid metabolism, and immune function. This article reviews the mechanism of action of ATF3 in chronic liver diseases.
3.Investigation and Evaluation of Systematic Reviews of Prediction Models Published in Chinese Journals: Methodological and Reporting Quality
Ziyi WANG ; Cuncun LU ; Jiayi HUANG ; Jinglei ZHANG ; Wenru SHANG ; Lu CUI ; Wendi LIU ; Xiuxiu DENG ; Xiaoxiao ZHAO ; Kehu YANG ; Xiuxia LI
Medical Journal of Peking Union Medical College Hospital 2023;15(4):927-935
To analyze the methodological and reporting quality of systematic reviews of prediction models published in Chinese journals, with the aim of providing reference for enhancing the overall quality of Chinese systematic reviews of prediction models. We searched the CNKI, WanFang Data, CBM, and VIP databases for Chinese systematic reviews of prediction models from inception to July 20, 2023. After two independent reviewers screened literature and extracted data, the AMSTAR(A Measurement Tool to Assess Systematic Reviews) and PRISMA 2020(Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020) tools were used to assess the methodological and reporting quality of the included reviews. A total of 55 systematic reviews published between 2015 and 2023 were included, 12 of which were meta-analysis. The reviews covered various topics, mainly including cardiovascular diseases, stroke, and diabetes. The identified systematic reviews exhibited obvious deficiencies: items 1, 4, 5, 6, and 10 of AMSTAR showed poor methodological quality, and items 7, 10a, 12, 13a-f, 14, 15, 16a-b, 17, 20b-d, 21, 22, 23d, 24a-c, 25 and 26 of PRISMA 2020 needed improvement in reporting quality. Furthermore, a moderate positive correlation ( The methodological and reporting quality of existing systematic reviews of prediction models published in Chinese journals is relatively poor and demands improvement.