基于粪便代谢组学及网络药理学探讨氨基酸代谢对T2DM的影响
Exploring the effect of amino acid metabolism on type 2 diabetes mellitus based on fecal metabolomics and network pharmacology
摘要
Abstract
Objective:To investigate the effect of amino acid metabolism on type 2 diabetes mellitus(T2DM)through metab-olomics and network pharmacology of fecal samples.Methods:A total of 20 were randomly divided into a normal group(10 rats)and a modeling group(10 rats).After one week of adaptive feeding,a high fat diet+streptozotocin was given for modeling,and fasting blood glucose>16.7 mmol/L was considered a sign of successful modeling.The feces of two groups of rats were collecte 7 days after successful modeling.Different metabolites were detected and screened by Liquid chromatography-mass spectrometry(LC-MS)sequencing method.and different metabolites were screened.The relevant targets of differential metabolites were screened through Chemsrc database,Pubchem database and SwissTargetPrediction database.The targets of T2DM were collect-ed through GeneCards,OMIM,TTD,and Drugbank databases,and the intersection targets of T2DM and differential metabo-lites were obtained by Venn analysis.Finally,Metascape database was used for KEGG analysis.Results:LC-MS sequencing identified 74 primary metabolites such as tyramine,ornithine,succinic acid,and 5-aminovaleric acid.These metabolites were main-ly enriched in the amino acid metabolism pathway,the lipid metabolism pathway,and the cofactor and vitamin metabolism path-way.Among them,the amino acid metabolism pathway was the most prominent.Network pharmacology analysis of differential metabolites and T2DM was performed.After screening and deduplication,936 targets related to differential metabolites and 1 656 disease targets of T2DM were obtained.Then a Venn analysis was carried out on the targets of the two,and 274 intersection tar-gets such as TP53,SRC,IL6,STAT3,and EGFR were obtained.These targets were mainly enriched in signaling pathways in-cluding the insulin resistance signaling pathway,the adipocytokine signaling pathway,the NF-kB signaling pathway,the P53 sig-naling pathway,and the cGMP-PKG signaling pathway.Among them,the cGMP-PKG signaling pathway had a relatively strong association with amino acid metabolism.Conclusion:Amino acid metabolism can interfere with the occurrence and development of T2DM by influencing the cGMP-PKG signaling pathway.关键词
2型糖尿病/LC-MC/网络药理学/代谢组学Key words
Type2 diabetes mellitus/LC-MC/Network pharmacology/Metabolomics分类
医药卫生引用本文复制引用
WANG Wei,PENG Zhiyingling,HE Guangzhi,XI Jin,HAN Xue,TANG Qiumei,YANG Guangyong,WU Chenxi,WANG Mingying,JIAO Houjia,WANG Qiao..基于粪便代谢组学及网络药理学探讨氨基酸代谢对T2DM的影响[J].海南医科大学学报,2025,31(24):1878-1888,11.基金项目
This study was supported by theNational Natural Science Foundation of China(82060796) （82060796）
Guizhou Provincial Science and Technology Foundation Project[Qiankehe Foundation(2020)1Y392] （2020）
Guizhou Provincial Administration of Traditional Chinese Medicine Science and Technology Research Project for Traditional Chinese Medicine and Ethnic Medicine(QZYY-2022-005) （QZYY-2022-005）
Guizhou University of Traditional Chinese Medicine Scientific Research Project(Gui Zhong Yi KeYu 2024703) （Gui Zhong Yi KeYu 2024703）
Guizhou Provincial Science and Technology Innovation Talent Team Construction Project[Qiankehe Platform Talent(2020)5010] （2020）
Guizhou University of Traditional Chinese Medicine 2024 Undergraduate Innovation and Entrepreneurship Training Program Project(S2024106621472)Guizhou Science and Technology Plan Project[Qiankehe Support(2020)4Y187] 国家自然科学基金(82060796) （S2024106621472）
贵州省科学技术基金[黔科合基础(2020)1Y392] （2020）
贵州省中医药管理局中医药、民族医药科学技术研究课题(QZYY-2022-005) （QZYY-2022-005）
贵州中医药大学科研项目(贵中医科余2024703号) （贵中医科余2024703号）
贵州省科技创新人才团队项目[黔科合平台人才(2020)5010] （2020）
贵州中医药大学 2024年大学生创新创业训练计划项目(S2024106621472) （S2024106621472）
贵州省科技计划项目[黔科合支撑(2020)4Y187号] （2020）
