Exploring the mechanism of acupuncture in the treatment of obesity based on text mining
WANG Zhenjie
WANG Jinjin
CAI Xiaolin
WANG Yuni
HUANG Peiying
ZHANG Yuxin
HUANG Yixing
ZHANG Weichui
ZHU Jinfeng
LUO Ziyi
DU Yikuan
YANG Chun
Abstract：Objective To identify obesity-related genes and signaling pathways,computational tools and publicly available data were used to analyze the potential mechanisms of acupuncture for the treatment of obesity,and to initially explore the differential genes of acupuncture in the expression of obesity-associated cancers.Methods Text mining methods were used to search the genes highly associated with"obesity""leptin"and"acupuncture"by GenCLIP 3,and then David's functional enrichment for GO analysis and KEGG analysis,and the String database was used to identify the difference genes.Finally,the Boxplot and Survival Analysis of the core genes were performed by the Gene Expression Profiling Interaction Analysis(GEPIA)database.Results 14 key genes,including adiponectin(ADIPOQ),leptin(LEP),and insulin(INS),were screened,which were mainly enriched in 10 pathways,including non-alcoholic fatty liver disease,adipocytokine signaling pathway,AMPK signaling pathway,insulin secretion,and JAK-STAT signaling pathway,etc.The results of GEPIA screening showed that interleukin 6(IL6)was important in the expression of both pancreatic adenocarcinoma(PAAD).Conclusion Acupuncture therapy may improve obesity by regulating genes such as ADIPOQ,LEP,and INS and participating in signaling pathways such as AMPK,while acupuncture can assist in the treatment of PAAD,which provides new ideas for the treatment of obesity.
Keywords：text mining technologyacupunctureobesityleptinadiponectinpancreatic adenocarcinomamechanism of action
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 474-482 )