Gut microbiota predict retinopathy in patients with diabetes: A longitudinal cohort study

作者：Xinran Qin, Jiaqi Sun, Shuli Chen, Yi Xu, Lina Lu, Min Lü, Jieying Li, Yingyan Ma, Fangzhou Lou, Haidong Zou · 发表于：Applied Microbiology and Biotechnology · 年份：2024 · DOI：10.1007/s00253-024-13316-x · 被引用次数：19 · 研究领域：Gut microbiota and health、Tryptophan and brain disorders、Retinal Diseases and Treatments

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 Butyricic...