Future microbiology · 2024
Changes in the gut microbiota and derived fecal metabolites may play a role in tacrolimus-induced diabetes in mice.
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Qian Minyan, Jiang Zhenwei, Xu Caomei, Wang Liying, Hu Nan
Аннотация
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.
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.