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Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue

BACKGROUND: The principal objective of this study was to gain a better understanding of the mechanisms of type 2 diabetes mellitus (T2DM) patients with fatigue (D-T2DM) through exome and transcriptome sequencing. METHODS: After whole-exome sequencing on peripheral blood of 6 D-T2DM patients, the con...

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Autores principales: Lv, Bohan, Yang, Xiuyan, An, Tian, Wu, Yanxiang, He, Zhongchen, Li, Bowu, Wang, Yijiao, Tan, Fang, Wang, Tingye, Zhu, Jiajian, Hu, Yuanyuan, Liu, Xiaokun, Jiang, Guangjian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358875/
https://www.ncbi.nlm.nih.gov/pubmed/35941691
http://dx.doi.org/10.1186/s13098-022-00884-z
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author Lv, Bohan
Yang, Xiuyan
An, Tian
Wu, Yanxiang
He, Zhongchen
Li, Bowu
Wang, Yijiao
Tan, Fang
Wang, Tingye
Zhu, Jiajian
Hu, Yuanyuan
Liu, Xiaokun
Jiang, Guangjian
author_facet Lv, Bohan
Yang, Xiuyan
An, Tian
Wu, Yanxiang
He, Zhongchen
Li, Bowu
Wang, Yijiao
Tan, Fang
Wang, Tingye
Zhu, Jiajian
Hu, Yuanyuan
Liu, Xiaokun
Jiang, Guangjian
author_sort Lv, Bohan
collection PubMed
description BACKGROUND: The principal objective of this study was to gain a better understanding of the mechanisms of type 2 diabetes mellitus (T2DM) patients with fatigue (D-T2DM) through exome and transcriptome sequencing. METHODS: After whole-exome sequencing on peripheral blood of 6 D-T2DM patients, the consensus mutations were screen out and analyzed by a series of bioinformatics analyses. Then, we combined whole-exome sequencing and transcriptome sequencing results to find the important genes that changed at both the DNA and RNA levels. RESULTS: The results showed that a total of 265,393 mutation sites were found in D-T2DM patients compared with normal individuals, 235 of which were consensus mutations shared with D-T2DM patients. These genes significantly enriched in HIF-1 signaling pathway and sphingolipid signaling pathway. At the RNA level, a total of 375 genes were identified to be differentially expressed. After the DNA-RNA joint analysis, eight genes were screened that changed at both DNA and RNA levels. Among these genes, FUS and LMNA were related to carbohydrate metabolism, energy metabolism, and mitochondrial function. Subsequently, we predicted the herbs, including Qin Pi and Hei Zhi Ma, that might play a therapeutic role in D-T2DM through the SymMap database. CONCLUSION: These findings have significant implications for understanding the mechanisms of D-T2DM and provide potential targets for D-T2DM diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00884-z.
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spelling pubmed-93588752022-08-10 Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue Lv, Bohan Yang, Xiuyan An, Tian Wu, Yanxiang He, Zhongchen Li, Bowu Wang, Yijiao Tan, Fang Wang, Tingye Zhu, Jiajian Hu, Yuanyuan Liu, Xiaokun Jiang, Guangjian Diabetol Metab Syndr Research BACKGROUND: The principal objective of this study was to gain a better understanding of the mechanisms of type 2 diabetes mellitus (T2DM) patients with fatigue (D-T2DM) through exome and transcriptome sequencing. METHODS: After whole-exome sequencing on peripheral blood of 6 D-T2DM patients, the consensus mutations were screen out and analyzed by a series of bioinformatics analyses. Then, we combined whole-exome sequencing and transcriptome sequencing results to find the important genes that changed at both the DNA and RNA levels. RESULTS: The results showed that a total of 265,393 mutation sites were found in D-T2DM patients compared with normal individuals, 235 of which were consensus mutations shared with D-T2DM patients. These genes significantly enriched in HIF-1 signaling pathway and sphingolipid signaling pathway. At the RNA level, a total of 375 genes were identified to be differentially expressed. After the DNA-RNA joint analysis, eight genes were screened that changed at both DNA and RNA levels. Among these genes, FUS and LMNA were related to carbohydrate metabolism, energy metabolism, and mitochondrial function. Subsequently, we predicted the herbs, including Qin Pi and Hei Zhi Ma, that might play a therapeutic role in D-T2DM through the SymMap database. CONCLUSION: These findings have significant implications for understanding the mechanisms of D-T2DM and provide potential targets for D-T2DM diagnosis and treatment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00884-z. BioMed Central 2022-08-08 /pmc/articles/PMC9358875/ /pubmed/35941691 http://dx.doi.org/10.1186/s13098-022-00884-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lv, Bohan
Yang, Xiuyan
An, Tian
Wu, Yanxiang
He, Zhongchen
Li, Bowu
Wang, Yijiao
Tan, Fang
Wang, Tingye
Zhu, Jiajian
Hu, Yuanyuan
Liu, Xiaokun
Jiang, Guangjian
Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title_full Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title_fullStr Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title_full_unstemmed Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title_short Combined analysis of whole-exome sequencing and RNA sequencing in type 2 diabetes mellitus patients with thirst and fatigue
title_sort combined analysis of whole-exome sequencing and rna sequencing in type 2 diabetes mellitus patients with thirst and fatigue
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358875/
https://www.ncbi.nlm.nih.gov/pubmed/35941691
http://dx.doi.org/10.1186/s13098-022-00884-z
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