1.Correlation analysis of cardiac function with coronary artery lesion in elderly patients with coronary heart disease
Luqian JIANG ; Keqiong DAI ; Chuanfeng KE ; Yan YANG ; Qiong NIE ; Meilin LI ; Wei YANG
Journal of Public Health and Preventive Medicine 2026;37(4):160-163
Objective To analyze the correlation between cardiac function and degree of coronary artery lesion in elderly patients with coronary heart disease. Methods A total of 110 elderly patients with coronary heart disease and 30 elderly people without coronary heart disease (non-coronary heart disease group) in the Third People's Hospital of Chengdu were selected for the study. Based on Gensini score, the patients with coronary heart disease were classified into mild, moderate and severe lesion groups. The echocardiographic indicators and myocardial injury indicators [cardiac troponin I (cTnI), creatine kinase (CK), creatine kinase isoenzyme (CK-MB)] were compared among the groups. The correlation between cardiac function indicators and degree of coronary artery lesion and the evaluation value of various indicators on severe coronary artery lesion were analyzed. Results The left ventricular ejection fraction (LVEF) was represented as severe lesion group
2.Jujuboside A ameliorates tubulointerstitial fibrosis in diabetic mice through down-regulating the YY1/TGF-β1 signaling pathway.
Yang-Yang LIU ; Lin LI ; Bei JI ; Shi-Long HAO ; Xiao-Feng KUANG ; Xin-Yun CAO ; Jia-Yu YUAN ; Zhen-Zhou JIANG ; Si-Tong QIAN ; Chu-Jing WEI ; Jing XU ; Xiao-Xing YIN ; Qian LU ; Ting-Ting YANG
Chinese Journal of Natural Medicines (English Ed.) 2022;20(9):656-668
Diabetic nephropathy (DN) is one of the most common complications of diabetes mellitus, which is characterized in renal tubulointerstitial fibrosis (TIF). The current study was designed to investigate the protective effect of Jujuboside A (Ju A) on TIF in type 2 diabetes (T2DM) mice, and explore its underlying anti-fibrosis mechanism. A mouse T2DM model was established using high fat diet (HFD) feeding combined with intraperitoneal injection of streptozotocin (STZ). Then, diabetic mice were treated with Ju A (10, 20 and 40 mg·kg-1·d-1, i.g.) for 12 weeks. Results showed that administration of Ju A not only down-regulated fasting blood glucose (FBG) levels, but also improved hyperlipidemia and renal function in diabetic mice. Moreover, the reduced ECM accumulation was observed in the renal cortex of Ju A treated diabetic mice, while the TIF progression was also attenuated by Ju A through blocking the epithelial-to-mesenchymal transition (EMT) of renal tubular epithelial cells (RTECs). Further mechanism studies showed that Ju A treatment effectively down-regulated the protein expression and subsequent nuclear translocation of Yin Yang 1 (YY1) in the renal cortex of diabetic mice, and reduced the levels of transforming growth factor-β1 (TGF-β1) in the serum and renal cortex of Ju A treated mice. According to invitro studies, the up-regulated YY1/TGF-β1 signaling pathway was restored by Ju A in high glucose (HG) cultured HK-2 cells. Taken together, these findings demonstrated that Ju A can ameliorate the TIF of DN through down-regulating the YY1/TGF-β1 signaling pathway.
Animals
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Blood Glucose
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Diabetes Mellitus, Experimental/metabolism*
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Diabetes Mellitus, Type 2/drug therapy*
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Diabetic Nephropathies/metabolism*
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Fibrosis
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Mice
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Saponins
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Signal Transduction
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Streptozocin
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Transforming Growth Factor beta1/metabolism*
3.Anti-sepsis effect and mechanism of Apocynum leavesbased on network pharmacology
Yuanshuo OUYANG ; Yanming WANG ; Xuqing QIN ; Han JIANG ; Luqian LIU ; Wenjun HE ; Xinzhi LI ; Ketao MA
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(3):484-490
【Objective】 To study the mechanism of Apocynum leaves in the treatment of sepsis by network pharmacology method in order to explore the multi-dimensional research method of Xinjiang ethnic medicine treatment of infectious diseases and provide scientific theoretical basis for clinical medication. 【Methods】 TCMSP and literature collection were used to screen the main active components of Apocynum venetum leaf, and target prediction analysis was conducted by SwissTarget Prediction database. We used Genecards database to screen relevant targets for sepsis, used Omicshare to calculate Venn figure of the intersection targets, constructed the protein-protein interaction network diagram in the STRING database, used Ensembl for name conversion of protein targets, then entered Omicshare server for Go function and KEGG pathway enrichment of dynamic analysis. Last we used Cytoscape3.6.0 software to construct "Apocynum venetum leaf-the active ingredients-targets-Go-KEGG-sepsis" network to explore the mechanism of action of Apocynum’s resistance to sepsis. 【Results】 Kaferol, luteolin, proanthocyanidin B


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