ArticleJournal of microbiology and biotechnology2025
Fecal Microbiome and Urine Metabolome Profiling of Type 2 Diabetes.
Article in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The Gut Microbiota-Astrocyte Axis: New Insights into the Mechanisms of Comorbid Major Depressive Disorder in Type 2 Diabetes Mellitus.Molecular neurobiology · 2026Review
- Type 2 diabetes mellitus exacerbates vaginal group BmSphere · 2026Article
- ToxBase: A Multidimensional ToxCast Reference Database for High-Throughput Human Exposome Analysis.Environmental science & technology · 2026Article
- Type 2 diabetes mellitus exacerbates vaginal group BbioRxiv : the preprint server for biology · 2026Article
- Metagenome-assembled genomes from the gut microbiome of spontaneous diabetic macaques provide insights into microbes associated with type 2 diabetes mellitus.BMC microbiology · 2026Article
- Cystic fibrosis-related diabetes is associated with reduced airway microbial diversity.Respiratory research · 2026Article
- Microbial dysbiosis and predictive neuroactive functional profiles in paediatric neurogenic bladder: an exploratory machine learning-based approach.Frontiers in cellular and infection microbiology · 2026Article
- Type 2 Diabetes Mellitus: A Metabolic Model of Accelerated Aging - Multi-Organ Mechanisms and Intervention Approaches.Aging and disease · 2025Review
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Authors and funding
11 authors.
Funding
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Abstract
Type 2 diabetes is a prevalent metabolic disorder with serious health consequences, necessitating both enhanced diagnostic methodologies and comprehensive elucidation of its pathophysiological mechanisms. We compared fecal microbiome and urine metabolome profiles in type 2 diabetes patients versus healthy controls to evaluate their respective diagnostic potential. Using a cohort of 94 subjects (48 diabetics, 46 controls), this study employed 16S rRNA amplicon sequencing for fecal microbiome analysis and GC-MS for urinary metabolomics. While fecal microbiome alpha diversity showed no significant differences between groups, urinary metabolomics demonstrated distinct structural patterns and higher evenness in type 2 diabetes patients. The study identified several diabetes-associated urinary metabolites, including elevated levels of glucose and inositol, along with decreased levels of 6 urine metabolites including glycolic acid, hippurate, and 2-aminoethanol. In the fecal microbiome, genera such as
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Registered trials
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