Evidence map›Paper›PMID 39136516›Full record

ArticleCurrent pharmaceutical design2024

Active Ingredients and Mechanism of Gegen Qinlian Decoction in the Treatment of Diabetic Cardiomyopathy: A Network Pharmacology Study.

Min Wang, Yanbin Liang, Yuce Qin, Ruimian Ma, Huanting Yu, Weixue Wang, Xiaoxi Zhang

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Article in Current pharmaceutical design, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Min WangInstitute of Basic Medical Sciences, Guilin Medical University, Guilin 541004, China.ORCID 0000-0002-6996-6159
Yanbin LiangCollege of Pharmacy, Guilin Medical University, Guilin 541004, China.
Yuce QinCollege of Pharmacy, Guilin Medical University, Guilin 541004, China.
Ruimian MaInstitute of Basic Medical Sciences, Guilin Medical University, Guilin 541004, China.
Huanting YuCollege of Clinical Medicine, Guilin Medical University, Guilin 541004, China.
Weixue WangDepartment of Traditional Chinese Medicine, Huai'an No. 3 People's Hospital, Huaian 223001, China.
Xiaoxi ZhangInstitute of Basic Medical Sciences, Guilin Medical University, Guilin 541004, China.

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6 · The paper itself

Abstract

backgroundDiabetic cardiomyopathy (DCM) is a common diabetes complication with limited medications. Gegen Qinlian decoction (GQD) has been used in the treatment of diabetes and its related complications in China for several decades.

objectiveIn this study, network pharmacology was employed to predict the active ingredients, key targets, and pathways involved in the treatment of DCM by GQD and to validate it by animal experiments.

methodsThe active ingredients of GQD were retrieved from TCMSP and published literature. DCM-related gene targets were searched in Drugbank, Genecards, Disgenet, and OMIM disease databases. Protein-protein interaction networks were constructed using the STRING database and Cytoscape. GO analysis and KEGG pathway enrichment analysis were performed using the Metascape platform. Moreover, a diabetic mouse model was established to evaluate the therapeutic effects of GQD by measuring serum biochemical markers and inflammation levels. Finally, the expression of predicted key target genes was determined using real-time quantitative PCR.

resultsA total of 129 active ingredients were screened from GQD. Moreover, 146 intersecting genes related to DCM were obtained, with key targets, including AKT1, TNF, IL6, and VEGFA. Lipid and atherosclerosis, AGE-RAGE, PI3K-AKT, and MAPK pathways were identified. Blood glucose control, decreased inflammatory factors, and serum CK-MB levels were restored after GQD intervention, and the same occurred with the expressions of PPAR-γ, AKT1, APOB, and GSK3B genes.

conclusionQuercetin, kaempferol, wogonin, 7-methoxy-2-methyl isoflavone, and formononetin may exert major therapeutic effects by regulating key factors, such as AKT1, APOB, and GSK3B, in the inflammatory reaction, glycolipid oxidation, and glycogen synthesis related signaling pathways.

Indexed as

Diabetes Mellitus, ExperimentalDiabetic CardiomyopathiesDrugs, Chinese HerbalNetwork PharmacologyAnimalsMaleMiceMice, Inbred C57BLDrugs, Chinese Herbalgegenqinliandiabetic cardiomyopathyexperimental validationGegen Qinlian decoctionglycolipid metabolism.network pharmacologyprotein-protein interaction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.