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Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes
Diabetic retinopathy (DR) is a common complication and the leading cause of blindness in patients with type 2 diabetes. DR has been shown to be closely correlated with blood glucose levels and the duration of diabetes. However, the onset and progression of DR also display clinical heterogeneity. We...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399422/ https://www.ncbi.nlm.nih.gov/pubmed/36035153 http://dx.doi.org/10.3389/fgene.2022.929049 |
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author | Song, Qiaoling Zhang, Yuchao Zhang, Minghui Ma, Xiaoli Zhang, Qianyue Zhao, Chenyang Zhang, Zhongwen Zhao, Huichen Hu, Wenchao Zhang, Xinxin Ren, Xiwen An, Ming Yang, Jinbo Liu, Yuantao |
author_facet | Song, Qiaoling Zhang, Yuchao Zhang, Minghui Ma, Xiaoli Zhang, Qianyue Zhao, Chenyang Zhang, Zhongwen Zhao, Huichen Hu, Wenchao Zhang, Xinxin Ren, Xiwen An, Ming Yang, Jinbo Liu, Yuantao |
author_sort | Song, Qiaoling |
collection | PubMed |
description | Diabetic retinopathy (DR) is a common complication and the leading cause of blindness in patients with type 2 diabetes. DR has been shown to be closely correlated with blood glucose levels and the duration of diabetes. However, the onset and progression of DR also display clinical heterogeneity. We applied whole-exome sequencing and RNA-seq approaches to study the gene mutation and transcription profiles in three groups of diabetic patients with extreme clinical phenotypes in DR onset, timing, and disease progression, aiming to identify genetic variants that may play roles in the pathogenesis of DR. We identified 23 putatively pathogenic genes, and ingenuity pathway analysis of these mutated genes reveals their functional association with glucose metabolism, diabetic complications, neural system activity, and dysregulated immune responses. In addition, ten potentially protective genes were also proposed. These findings shed light on the mechanisms underlying the pathogenesis of DR and may provide potential targets for developing new strategies to combat DR. |
format | Online Article Text |
id | pubmed-9399422 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93994222022-08-25 Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes Song, Qiaoling Zhang, Yuchao Zhang, Minghui Ma, Xiaoli Zhang, Qianyue Zhao, Chenyang Zhang, Zhongwen Zhao, Huichen Hu, Wenchao Zhang, Xinxin Ren, Xiwen An, Ming Yang, Jinbo Liu, Yuantao Front Genet Genetics Diabetic retinopathy (DR) is a common complication and the leading cause of blindness in patients with type 2 diabetes. DR has been shown to be closely correlated with blood glucose levels and the duration of diabetes. However, the onset and progression of DR also display clinical heterogeneity. We applied whole-exome sequencing and RNA-seq approaches to study the gene mutation and transcription profiles in three groups of diabetic patients with extreme clinical phenotypes in DR onset, timing, and disease progression, aiming to identify genetic variants that may play roles in the pathogenesis of DR. We identified 23 putatively pathogenic genes, and ingenuity pathway analysis of these mutated genes reveals their functional association with glucose metabolism, diabetic complications, neural system activity, and dysregulated immune responses. In addition, ten potentially protective genes were also proposed. These findings shed light on the mechanisms underlying the pathogenesis of DR and may provide potential targets for developing new strategies to combat DR. Frontiers Media S.A. 2022-08-10 /pmc/articles/PMC9399422/ /pubmed/36035153 http://dx.doi.org/10.3389/fgene.2022.929049 Text en Copyright © 2022 Song, Zhang, Zhang, Ma, Zhang, Zhao, Zhang, Zhao, Hu, Zhang, Ren, An, Yang and Liu. 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 | Genetics Song, Qiaoling Zhang, Yuchao Zhang, Minghui Ma, Xiaoli Zhang, Qianyue Zhao, Chenyang Zhang, Zhongwen Zhao, Huichen Hu, Wenchao Zhang, Xinxin Ren, Xiwen An, Ming Yang, Jinbo Liu, Yuantao Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title | Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title_full | Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title_fullStr | Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title_full_unstemmed | Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title_short | Identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
title_sort | identifying gene variants underlying the pathogenesis of diabetic retinopathy based on integrated genomic and transcriptomic analysis of clinical extreme phenotypes |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399422/ https://www.ncbi.nlm.nih.gov/pubmed/36035153 http://dx.doi.org/10.3389/fgene.2022.929049 |
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