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Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy

Recent evidence suggests there is a link between metabolic diseases and gut microbiota. To investigate the gut microbiota composition and fecal metabolic phenotype in diabetic retinopathy (DR) patients. DNA was extracted from 50 fecal samples (21 individuals with type 2 diabetes mellitus-associated...

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Autores principales: Zhou, Zixi, Zheng, Zheng, Xiong, Xiaojing, Chen, Xu, Peng, Jingying, Yao, Hao, Pu, Jiaxin, Chen, Qingwei, Zheng, Minming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554156/
https://www.ncbi.nlm.nih.gov/pubmed/34722512
http://dx.doi.org/10.3389/fcell.2021.732204
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author Zhou, Zixi
Zheng, Zheng
Xiong, Xiaojing
Chen, Xu
Peng, Jingying
Yao, Hao
Pu, Jiaxin
Chen, Qingwei
Zheng, Minming
author_facet Zhou, Zixi
Zheng, Zheng
Xiong, Xiaojing
Chen, Xu
Peng, Jingying
Yao, Hao
Pu, Jiaxin
Chen, Qingwei
Zheng, Minming
author_sort Zhou, Zixi
collection PubMed
description Recent evidence suggests there is a link between metabolic diseases and gut microbiota. To investigate the gut microbiota composition and fecal metabolic phenotype in diabetic retinopathy (DR) patients. DNA was extracted from 50 fecal samples (21 individuals with type 2 diabetes mellitus-associated retinopathy (DR), 14 with type 2 diabetes mellitus but without retinopathy (DM) and 15 sex- and age-matched healthy controls) and then sequenced by high-throughput 16S rDNA analysis. Liquid chromatography mass spectrometry (LC-MS)-based metabolomics was simultaneously performed on the samples. A significant difference in the gut microbiota composition was observed between the DR and healthy groups and between the DR and DM groups. At the genus level, Faecalibacterium, Roseburia, Lachnospira and Romboutsia were enriched in DR patients compared to healthy individuals, while Akkermansia was depleted. Compared to those in the DM patient group, five genera, including Prevotella, were enriched, and Bacillus, Veillonella, and Pantoea were depleted in DR patients. Fecal metabolites in DR patients significantly differed from those in the healthy population and DM patients. The levels of carnosine, succinate, nicotinic acid and niacinamide were significantly lower in DR patients than in healthy controls. Compared to those in DM patients, nine metabolites were enriched, and six were depleted in DR patients. KEGG annotation revealed 17 pathways with differentially abundant metabolites between DR patients and healthy controls, and only two pathways with differentially abundant metabolites were identified between DR and DM patients, namely, the arginine-proline and α-linolenic acid metabolic pathways. In a correlation analysis, armillaramide was found to be negatively associated with Prevotella and Subdoligranulum and positively associated with Bacillus. Traumatic acid was negatively correlated with Bacillus. Our study identified differential gut microbiota compositions and characteristic fecal metabolic phenotypes in DR patients compared with those in the healthy population and DM patients. Additionally, the gut microbiota composition and fecal metabolic phenotype were relevant. We speculated that the gut microbiota in DR patients may cause alterations in fecal metabolites, which may contribute to disease progression, providing a new direction for understanding DR.
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spelling pubmed-85541562021-10-30 Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy Zhou, Zixi Zheng, Zheng Xiong, Xiaojing Chen, Xu Peng, Jingying Yao, Hao Pu, Jiaxin Chen, Qingwei Zheng, Minming Front Cell Dev Biol Cell and Developmental Biology Recent evidence suggests there is a link between metabolic diseases and gut microbiota. To investigate the gut microbiota composition and fecal metabolic phenotype in diabetic retinopathy (DR) patients. DNA was extracted from 50 fecal samples (21 individuals with type 2 diabetes mellitus-associated retinopathy (DR), 14 with type 2 diabetes mellitus but without retinopathy (DM) and 15 sex- and age-matched healthy controls) and then sequenced by high-throughput 16S rDNA analysis. Liquid chromatography mass spectrometry (LC-MS)-based metabolomics was simultaneously performed on the samples. A significant difference in the gut microbiota composition was observed between the DR and healthy groups and between the DR and DM groups. At the genus level, Faecalibacterium, Roseburia, Lachnospira and Romboutsia were enriched in DR patients compared to healthy individuals, while Akkermansia was depleted. Compared to those in the DM patient group, five genera, including Prevotella, were enriched, and Bacillus, Veillonella, and Pantoea were depleted in DR patients. Fecal metabolites in DR patients significantly differed from those in the healthy population and DM patients. The levels of carnosine, succinate, nicotinic acid and niacinamide were significantly lower in DR patients than in healthy controls. Compared to those in DM patients, nine metabolites were enriched, and six were depleted in DR patients. KEGG annotation revealed 17 pathways with differentially abundant metabolites between DR patients and healthy controls, and only two pathways with differentially abundant metabolites were identified between DR and DM patients, namely, the arginine-proline and α-linolenic acid metabolic pathways. In a correlation analysis, armillaramide was found to be negatively associated with Prevotella and Subdoligranulum and positively associated with Bacillus. Traumatic acid was negatively correlated with Bacillus. Our study identified differential gut microbiota compositions and characteristic fecal metabolic phenotypes in DR patients compared with those in the healthy population and DM patients. Additionally, the gut microbiota composition and fecal metabolic phenotype were relevant. We speculated that the gut microbiota in DR patients may cause alterations in fecal metabolites, which may contribute to disease progression, providing a new direction for understanding DR. Frontiers Media S.A. 2021-10-15 /pmc/articles/PMC8554156/ /pubmed/34722512 http://dx.doi.org/10.3389/fcell.2021.732204 Text en Copyright © 2021 Zhou, Zheng, Xiong, Chen, Peng, Yao, Pu, Chen and Zheng. 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 Cell and Developmental Biology
Zhou, Zixi
Zheng, Zheng
Xiong, Xiaojing
Chen, Xu
Peng, Jingying
Yao, Hao
Pu, Jiaxin
Chen, Qingwei
Zheng, Minming
Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title_full Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title_fullStr Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title_full_unstemmed Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title_short Gut Microbiota Composition and Fecal Metabolic Profiling in Patients With Diabetic Retinopathy
title_sort gut microbiota composition and fecal metabolic profiling in patients with diabetic retinopathy
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554156/
https://www.ncbi.nlm.nih.gov/pubmed/34722512
http://dx.doi.org/10.3389/fcell.2021.732204
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