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肠道微生物群可预测糖尿病患者的视网膜病变:一项纵向队列研究。

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

机构信息

Department of Ophthalmology, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Shanghai Eye Disease Prevention and Treatment Center/Shanghai Eye Hospital, Shanghai, China.

出版信息

Appl Microbiol Biotechnol. 2024 Oct 28;108(1):497. doi: 10.1007/s00253-024-13316-x.

Abstract

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.

摘要

肠道微生物群已成为糖尿病及其并发症的独立风险因素。本研究旨在通过横断面和前瞻性队列研究的双重方法深入研究肠道微生物组与糖尿病性视网膜病变(DR)之间的复杂关系。在我们的横断面研究中,涉及 99 名糖尿病患者的横断面调查中,确定了与 DR 相关的独特微生物特征。具体而言,肠道微生物组谱分析显示,DR 患者的丁酸球菌和旋转瘤胃球菌组水平降低,同时甲烷生成途径上调。这些患者的血浆中短链脂肪酸浓度也较低。利用包括随机森林分类器在内的机器学习模型,我们构建了一组能够可靠地区分 DR 病例的微生物属和基因。重要的是,这些属与饮食模式和外周血单核细胞的分子谱也有显著相关性。在此基础上,我们的前瞻性队列研究对 62 名糖尿病患者进行了为期 2 年的随访,以评估这些微生物标志物的预测价值。结果强调了该小组预测 DR 发生率的功效。通过基于横断面阶段确定的预测属和代谢物对患者进行分层,我们发现丁酸球菌水平降低、血浆乙酸盐水平升高与 DR 易感性之间存在显著关联。这项研究不仅加深了我们对肠道微生物群如何影响 DR 的理解,还强调了微生物标志物作为疾病风险早期指标的潜力。这些见解为开发旨在减轻糖尿病并发症影响的靶向干预措施提供了希望。关键点:

  • 患有和不患有视网膜病变的糖尿病患者的微生物特征不同

  • 与 DR 相关的分类群与饮食习惯和转录组特征相关

  • 丁酸球菌和乙酸盐的丰度较低与 DR 有前瞻性关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68de/11519154/6561a60d8e1c/253_2024_13316_Fig1_HTML.jpg

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