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Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells
OBJECTIVES: Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56(+)CD16(+) NK cells. METHODS: Microarray datasets were downloaded from...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656236/ https://www.ncbi.nlm.nih.gov/pubmed/34899600 http://dx.doi.org/10.3389/fendo.2021.750135 |
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author | Shi, Ruifeng Dai, Fang He, Yong Sun, Li Xu, Min Deng, Datong Zhang, Qiu |
author_facet | Shi, Ruifeng Dai, Fang He, Yong Sun, Li Xu, Min Deng, Datong Zhang, Qiu |
author_sort | Shi, Ruifeng |
collection | PubMed |
description | OBJECTIVES: Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56(+)CD16(+) NK cells. METHODS: Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Enrichment analyses were performed using Metascape online database and GSEA software. Cell-specific gene co-expression network was built using NetworkAnalyst tools. Cytoscape software was used to identify hub genes and construct co-expressed networks. Target miRNAs were predicted based on the DIANA-micro T, miRDB, and miRWalk online databases. RESULTS: A total of 70 DEGs were identified between T1DM patients recovered from ketosis or ketoacidosis and healthy control blood samples in GSE44314. Among the DEGs, 10 hub genes were screened out. The mature NK cell-specific gene co-expression network for DEGs in T1DM was built using NetworkAnalyst tools. DEGs between activated CD56(+)CD16(+) NK cells and CD56(bright)CD16(-) NK cells were identified from GSE1511. After intersection, 13 overlapping genes between GSE44314 and GSE1511 microarray datasets were screened out, in which 7 hub genes were identified. Additionally, 59 target miRNAs were predicted according to the 7 hub genes. After validating with the exosome miRNA expression profile dataset of GSE97123, seven differentially expressed miRNAs (DEmiRNAs) in plasma-derived exosome were selected. Finally, a mRNA–miRNA network was constructed, which was involved in the T1DM ketosis or ketoacidosis process. CONCLUSION: This work identified seven hub genes in activated CD56(+)CD16(+) NK cells and seven miRNAs in plasma-derived exosome as potential predictors of T1DM ketoacidosis, which provided a novel insight for the pathogenesis at the transcriptome level. |
format | Online Article Text |
id | pubmed-8656236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86562362021-12-10 Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells Shi, Ruifeng Dai, Fang He, Yong Sun, Li Xu, Min Deng, Datong Zhang, Qiu Front Endocrinol (Lausanne) Endocrinology OBJECTIVES: Alterations in natural killer (NK) cells activity cause damage to pancreatic islets in type 1 diabetes mellitus (T1DM). The aim of this study is to identify T1DM ketosis- or ketoacidosis-related genes in activated CD56(+)CD16(+) NK cells. METHODS: Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were analyzed using the GEO2R tool. Enrichment analyses were performed using Metascape online database and GSEA software. Cell-specific gene co-expression network was built using NetworkAnalyst tools. Cytoscape software was used to identify hub genes and construct co-expressed networks. Target miRNAs were predicted based on the DIANA-micro T, miRDB, and miRWalk online databases. RESULTS: A total of 70 DEGs were identified between T1DM patients recovered from ketosis or ketoacidosis and healthy control blood samples in GSE44314. Among the DEGs, 10 hub genes were screened out. The mature NK cell-specific gene co-expression network for DEGs in T1DM was built using NetworkAnalyst tools. DEGs between activated CD56(+)CD16(+) NK cells and CD56(bright)CD16(-) NK cells were identified from GSE1511. After intersection, 13 overlapping genes between GSE44314 and GSE1511 microarray datasets were screened out, in which 7 hub genes were identified. Additionally, 59 target miRNAs were predicted according to the 7 hub genes. After validating with the exosome miRNA expression profile dataset of GSE97123, seven differentially expressed miRNAs (DEmiRNAs) in plasma-derived exosome were selected. Finally, a mRNA–miRNA network was constructed, which was involved in the T1DM ketosis or ketoacidosis process. CONCLUSION: This work identified seven hub genes in activated CD56(+)CD16(+) NK cells and seven miRNAs in plasma-derived exosome as potential predictors of T1DM ketoacidosis, which provided a novel insight for the pathogenesis at the transcriptome level. Frontiers Media S.A. 2021-11-25 /pmc/articles/PMC8656236/ /pubmed/34899600 http://dx.doi.org/10.3389/fendo.2021.750135 Text en Copyright © 2021 Shi, Dai, He, Sun, Xu, Deng and Zhang 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 | Endocrinology Shi, Ruifeng Dai, Fang He, Yong Sun, Li Xu, Min Deng, Datong Zhang, Qiu Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title | Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title_full | Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title_fullStr | Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title_full_unstemmed | Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title_short | Comprehensive Analyses of Type 1 Diabetes Ketosis- or Ketoacidosis-Related Genes in Activated CD56(+)CD16(+) NK Cells |
title_sort | comprehensive analyses of type 1 diabetes ketosis- or ketoacidosis-related genes in activated cd56(+)cd16(+) nk cells |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656236/ https://www.ncbi.nlm.nih.gov/pubmed/34899600 http://dx.doi.org/10.3389/fendo.2021.750135 |
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