Gut microbiota predict retinopathy in patients with diabetes: A longitudinal cohort study.
Humans
Gastrointestinal Microbiome
Cross-Sectional Studies
Male
Diabetic Retinopathy
/ microbiology
Middle Aged
Longitudinal Studies
Prospective Studies
Female
Fatty Acids, Volatile
/ blood
Aged
Ruminococcus
/ genetics
Clostridiales
/ genetics
Acetates
/ metabolism
Adult
Diabetes Mellitus
/ microbiology
Diabetes
Diabetic retinopathy
Diet
Metabolite
Microbiome
Transcriptome
Journal
Applied microbiology and biotechnology
ISSN: 1432-0614
Titre abrégé: Appl Microbiol Biotechnol
Pays: Germany
ID NLM: 8406612
Informations de publication
Date de publication:
28 Oct 2024
28 Oct 2024
Historique:
received:
11
01
2024
accepted:
23
09
2024
revised:
27
06
2024
medline:
28
10
2024
pubmed:
28
10
2024
entrez:
28
10
2024
Statut:
epublish
Résumé
The gut microbiota has emerged as an independent risk factor for diabetes and its complications. This research aimed to delve into the intricate relationship between the gut microbiome and diabetic retinopathy (DR) through a dual approach of cross-sectional and prospective cohort studies. In our cross-sectional study cross-sectional investigation involving ninety-nine individuals with diabetes, distinct microbial signatures associated with DR were identified. Specifically, gut microbiome profiling revealed decreased levels of Butyricicoccus and Ruminococcus torques group, alongside upregulated methanogenesis pathways among DR patients. These individuals concurrently exhibited lower concentrations of short-chain fatty acids in their plasma. Leveraging machine learning models, including random forest classifiers, we constructed a panel of microbial genera and genes that robustly differentiated DR cases. Importantly, these genera also demonstrated significant correlations with dietary patterns and the molecular profiles of peripheral blood mononuclear cells. Building upon these findings, our prospective cohort study followed 62 diabetes patients over a 2-year period to assess the predictive value of these microbial markers. The results underlined the panel's efficacy in predicting DR incidence. By stratifying patients based on the predictive genera and metabolites identified in the cross-sectional phase, we established significant associations between reduced levels of Butyricicoccus, plasma acetate, and increased susceptibility to DR. This investigation not only deepens our understanding of how gut microbiota influences DR but also underscores the potential of microbial markers as early indicators of disease risk. These insights hold promise for developing targeted interventions aimed at mitigating the impact of diabetic complications. KEY POINTS: • Microbial signatures are differed in diabetic patients with and without retinopathy • DR-related taxa are linked to dietary habits and transcriptomic profiles • Lower abundances of Butyricicoccus and acetate were prospectively associated with DR.
Identifiants
pubmed: 39466432
doi: 10.1007/s00253-024-13316-x
pii: 10.1007/s00253-024-13316-x
doi:
Substances chimiques
Fatty Acids, Volatile
0
Acetates
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
497Subventions
Organisme : National Natural Science Foundation of China
ID : 82071012
Organisme : Shanghai Engineering Technology Research Center
ID : 19DZ2250100
Informations de copyright
© 2024. The Author(s).
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