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

糖尿病 肠道菌群 队列 队列研究 糖尿病性视网膜病变 医学 视网膜病变 生物 内科学 微生物学 内分泌学 免疫学
作者
Xinran Qin,Jiaqi Sun,Shuli Chen,Yi Xu,Lina Lu,Min Lü,Jieying Li,Yingyan Ma,Fangzhou Lou,Haidong Zou
出处
期刊:Applied Microbiology and Biotechnology [Springer Science+Business Media]
卷期号:108 (1): 497-497 被引量:17
标识
DOI:10.1007/s00253-024-13316-x
摘要

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.
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