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Composition and diversity of gut microbiota in diabetic retinopathy

OBJECTIVE: Diabetic retinopathy (DR) is one of the most common complications of type 2 diabetes mellitus. The current study investigates the composition, structure, and function of gut microbiota in DR patients and explores the correlation between gut microbiota and clinical characteristics of DR. M...

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Autores principales: Bai, Jianhao, Wan, Zhongqi, Zhang, Yuanyuan, Wang, Tianyu, Xue, Yawen, Peng, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445585/
https://www.ncbi.nlm.nih.gov/pubmed/36081798
http://dx.doi.org/10.3389/fmicb.2022.926926
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author Bai, Jianhao
Wan, Zhongqi
Zhang, Yuanyuan
Wang, Tianyu
Xue, Yawen
Peng, Qing
author_facet Bai, Jianhao
Wan, Zhongqi
Zhang, Yuanyuan
Wang, Tianyu
Xue, Yawen
Peng, Qing
author_sort Bai, Jianhao
collection PubMed
description OBJECTIVE: Diabetic retinopathy (DR) is one of the most common complications of type 2 diabetes mellitus. The current study investigates the composition, structure, and function of gut microbiota in DR patients and explores the correlation between gut microbiota and clinical characteristics of DR. METHODS: A total of 50 stool samples were collected from 50 participants, including 25 DR patients and 25 healthy controls (HCs). 16S ribosomal RNA gene sequencing was used to analyze the gut microbial composition in these two groups. DNA was extracted from the fecal samples using the MiSeq platform. RESULTS: The microbial structure and composition of DR patients were different from that of HCs. The microbial richness of gut microbiota in DR was higher than that of normal individuals. The alterations of microbiome of DR patients were associated with disrupted Firmicutes, Bacteroidetes, Synergistota, and Desulfobacterota phyla. In addition, increased levels of Bacteroides, Megamonas, Ruminococcus_torques_group, Lachnoclostridium, and Alistipes, and decreased levels of Blautia, Eubacterium_ hallii_group, Collinsella, Dorea, Romboutsia, Anaerostipes, and Fusicatenibacter genera were observed in the DR groups. Additionally, a stochastic forest model was developed to identify a set of biomarkers with seven bacterial genera that can differentiate patients with DR from those HC. The microbial communities exhibited varied functions in these two groups because of the alterations of the above-mentioned bacterial genera. CONCLUSION: The altered composition and function of gut microbiota in DR patients indicated that gut microbiome could be used as non-invasive biomarkers, improve clinical diagnostic methods, and identify putative therapeutic targets for DR.
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spelling pubmed-94455852022-09-07 Composition and diversity of gut microbiota in diabetic retinopathy Bai, Jianhao Wan, Zhongqi Zhang, Yuanyuan Wang, Tianyu Xue, Yawen Peng, Qing Front Microbiol Microbiology OBJECTIVE: Diabetic retinopathy (DR) is one of the most common complications of type 2 diabetes mellitus. The current study investigates the composition, structure, and function of gut microbiota in DR patients and explores the correlation between gut microbiota and clinical characteristics of DR. METHODS: A total of 50 stool samples were collected from 50 participants, including 25 DR patients and 25 healthy controls (HCs). 16S ribosomal RNA gene sequencing was used to analyze the gut microbial composition in these two groups. DNA was extracted from the fecal samples using the MiSeq platform. RESULTS: The microbial structure and composition of DR patients were different from that of HCs. The microbial richness of gut microbiota in DR was higher than that of normal individuals. The alterations of microbiome of DR patients were associated with disrupted Firmicutes, Bacteroidetes, Synergistota, and Desulfobacterota phyla. In addition, increased levels of Bacteroides, Megamonas, Ruminococcus_torques_group, Lachnoclostridium, and Alistipes, and decreased levels of Blautia, Eubacterium_ hallii_group, Collinsella, Dorea, Romboutsia, Anaerostipes, and Fusicatenibacter genera were observed in the DR groups. Additionally, a stochastic forest model was developed to identify a set of biomarkers with seven bacterial genera that can differentiate patients with DR from those HC. The microbial communities exhibited varied functions in these two groups because of the alterations of the above-mentioned bacterial genera. CONCLUSION: The altered composition and function of gut microbiota in DR patients indicated that gut microbiome could be used as non-invasive biomarkers, improve clinical diagnostic methods, and identify putative therapeutic targets for DR. Frontiers Media S.A. 2022-08-23 /pmc/articles/PMC9445585/ /pubmed/36081798 http://dx.doi.org/10.3389/fmicb.2022.926926 Text en Copyright © 2022 Bai, Wan, Zhang, Wang, Xue and Peng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Bai, Jianhao
Wan, Zhongqi
Zhang, Yuanyuan
Wang, Tianyu
Xue, Yawen
Peng, Qing
Composition and diversity of gut microbiota in diabetic retinopathy
title Composition and diversity of gut microbiota in diabetic retinopathy
title_full Composition and diversity of gut microbiota in diabetic retinopathy
title_fullStr Composition and diversity of gut microbiota in diabetic retinopathy
title_full_unstemmed Composition and diversity of gut microbiota in diabetic retinopathy
title_short Composition and diversity of gut microbiota in diabetic retinopathy
title_sort composition and diversity of gut microbiota in diabetic retinopathy
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445585/
https://www.ncbi.nlm.nih.gov/pubmed/36081798
http://dx.doi.org/10.3389/fmicb.2022.926926
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