Minyan Qian, Zhenwei Jiang, Caomei Xu, Liying Wang, Nan Hu
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Fecal metabolites changed significantly after TAC administration by different routes, and 53 metabolites (38 down-regulated and 15 up-regulated) were identified (CON vs. TACip). Similarly, 29 metabolites (8 down-regulated and 21 up-regulated) were identified (CON vs. TACpo). KEGG pathway analysis identified 4 and 13 significantly altered metabolic pathways, respectively. Correlation analysis suggested that microbiota and metabolites were involved in the pathogenesis of TAC-induced diabetes.</p><p><strong>Conclusion: </strong>This study investigated the alterations in gut microbiota and fecal metabolites in TAC-induced diabetic mice and evaluated the correlation between these changes. 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引用次数: 0
摘要
目的:在他克莫司(TAC)诱导的糖尿病模型中,关注肠道微生物群及其代谢物变化的研究明显缺乏。方法:观察他克莫司不同给药途径对小鼠糖脂代谢指标的影响。利用16S rRNA测序和非靶向代谢组学研究了肠道微生物群及其代谢物在tac诱导糖尿病中的潜在作用。结果:经腹腔(ip)和口服(po)给药后,小鼠肠道菌群α-多样性指数显著升高。三组小鼠肠道菌群明显分离,组成和功能基因均有显著变化。经不同途径给药后,粪便代谢物发生显著变化,共鉴定出53种代谢物(下调38种,上调15种)(CON vs. TACip)。同样,鉴定出29种代谢物(8种下调,21种上调)(CON vs. TACpo)。KEGG途径分析分别鉴定出4条和13条显著改变的代谢途径。相关分析表明,微生物群和代谢物参与了tac诱导糖尿病的发病机制。结论:本研究探讨了tac诱导的糖尿病小鼠肠道菌群和粪便代谢物的变化,并评估了这些变化之间的相关性。这些发现为tac诱导糖尿病发展的潜在生物标志物提供了有价值的见解。
Changes in the gut microbiota and derived fecal metabolites may play a role in tacrolimus-induced diabetes in mice.
Aims: A notable scarcity of research has focused on examining alterations in gut microbiota and its metabolites within tacrolimus (TAC)-induced diabetes models.
Methods: Tacrolimus-induced changes in glucose and lipid metabolism indices were analyzed through different routes of administration. The potential role of gut microbiota and its metabolites in TAC-induced diabetes was investigated using 16S rRNA sequencing and non-targeted metabolomics.
Results: After intraperitoneal(ip) and oral(po) administration of TAC, the α-diversity index of gut microbiota was significantly increased. The gut microbiota of the three groups of mice was significantly separated, and there were significant changes in composition and functional genes. Fecal metabolites changed significantly after TAC administration by different routes, and 53 metabolites (38 down-regulated and 15 up-regulated) were identified (CON vs. TACip). Similarly, 29 metabolites (8 down-regulated and 21 up-regulated) were identified (CON vs. TACpo). KEGG pathway analysis identified 4 and 13 significantly altered metabolic pathways, respectively. Correlation analysis suggested that microbiota and metabolites were involved in the pathogenesis of TAC-induced diabetes.
Conclusion: This study investigated the alterations in gut microbiota and fecal metabolites in TAC-induced diabetic mice and evaluated the correlation between these changes. These findings provide valuable insights into potential biomarkers in the development of TAC-induced diabetes.
期刊介绍:
Future Microbiology delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for this increasingly important and vast area of research.