Cargando…
Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus
BACKGROUND: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease caused by severe loss of pancreatic β cells. Immune cells are key mediators of β cell destruction. This study attempted to investigate the role of immune cells and immune-related genes in the occurrence and development of T1...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314644/ https://www.ncbi.nlm.nih.gov/pubmed/34311758 http://dx.doi.org/10.1186/s12967-021-02991-3 |
_version_ | 1783729588599259136 |
---|---|
author | Lin, Jian Lu, Yuanhua Wang, Bizhou Jiao, Ping Ma, Jie |
author_facet | Lin, Jian Lu, Yuanhua Wang, Bizhou Jiao, Ping Ma, Jie |
author_sort | Lin, Jian |
collection | PubMed |
description | BACKGROUND: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease caused by severe loss of pancreatic β cells. Immune cells are key mediators of β cell destruction. This study attempted to investigate the role of immune cells and immune-related genes in the occurrence and development of T1DM. METHODS: The raw gene expression profile of the samples from 12 T1DM patients and 10 normal controls was obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by Limma package in R. The least absolute shrinkage and selection operator (LASSO)—support vector machines (SVM) were used to screen the hub genes. CIBERSORT algorithm was used to identify the different immune cells in distribution between T1DM and normal samples. Correlation of the hub genes and immune cells was analyzed by Spearman, and gene-GO-BP and gene-pathway interaction networks were constructed by Cytoscape plug-in ClueGO. Receiver operating characteristic (ROC) curves were used to assess diagnostic value of genes in T1DM. RESULTS: The 50 immune-related DEGs were obtained between the T1DM and normal samples. Then, the 50 immune-related DEGs were further screened to obtain the 5 hub genes. CIBERSORT analysis revealed that the distribution of plasma cells, resting mast cells, resting NK cells and neutrophils had significant difference between T1DM and normal samples. Natural cytotoxicity triggering receptor 3 (NCR3) was significantly related to the activated NK cells, M0 macrophages, monocytes, resting NK cells, and resting memory CD4(+) T cells. Moreover, tumor necrosis factor (TNF) was significantly associated with naive B cell and naive CD4(+) T cell. NCR3 [Area under curve (AUC) = 0.918] possessed a higher accuracy than TNF (AUC = 0.763) in diagnosis of T1DM. CONCLUSIONS: The immune-related genes (NCR3 and TNF) and immune cells (NK cells) may play a vital regulatory role in the occurrence and development of T1DM, which possibly provide new ideas and potential targets for the immunotherapy of diabetes mellitus (DM). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-02991-3. |
format | Online Article Text |
id | pubmed-8314644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83146442021-07-28 Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus Lin, Jian Lu, Yuanhua Wang, Bizhou Jiao, Ping Ma, Jie J Transl Med Research BACKGROUND: Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease caused by severe loss of pancreatic β cells. Immune cells are key mediators of β cell destruction. This study attempted to investigate the role of immune cells and immune-related genes in the occurrence and development of T1DM. METHODS: The raw gene expression profile of the samples from 12 T1DM patients and 10 normal controls was obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by Limma package in R. The least absolute shrinkage and selection operator (LASSO)—support vector machines (SVM) were used to screen the hub genes. CIBERSORT algorithm was used to identify the different immune cells in distribution between T1DM and normal samples. Correlation of the hub genes and immune cells was analyzed by Spearman, and gene-GO-BP and gene-pathway interaction networks were constructed by Cytoscape plug-in ClueGO. Receiver operating characteristic (ROC) curves were used to assess diagnostic value of genes in T1DM. RESULTS: The 50 immune-related DEGs were obtained between the T1DM and normal samples. Then, the 50 immune-related DEGs were further screened to obtain the 5 hub genes. CIBERSORT analysis revealed that the distribution of plasma cells, resting mast cells, resting NK cells and neutrophils had significant difference between T1DM and normal samples. Natural cytotoxicity triggering receptor 3 (NCR3) was significantly related to the activated NK cells, M0 macrophages, monocytes, resting NK cells, and resting memory CD4(+) T cells. Moreover, tumor necrosis factor (TNF) was significantly associated with naive B cell and naive CD4(+) T cell. NCR3 [Area under curve (AUC) = 0.918] possessed a higher accuracy than TNF (AUC = 0.763) in diagnosis of T1DM. CONCLUSIONS: The immune-related genes (NCR3 and TNF) and immune cells (NK cells) may play a vital regulatory role in the occurrence and development of T1DM, which possibly provide new ideas and potential targets for the immunotherapy of diabetes mellitus (DM). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-02991-3. BioMed Central 2021-07-26 /pmc/articles/PMC8314644/ /pubmed/34311758 http://dx.doi.org/10.1186/s12967-021-02991-3 Text en © The Author(s) 2021 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 Lin, Jian Lu, Yuanhua Wang, Bizhou Jiao, Ping Ma, Jie Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title | Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title_full | Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title_fullStr | Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title_full_unstemmed | Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title_short | Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
title_sort | analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8314644/ https://www.ncbi.nlm.nih.gov/pubmed/34311758 http://dx.doi.org/10.1186/s12967-021-02991-3 |
work_keys_str_mv | AT linjian analysisofimmunecellcomponentsandimmunerelatedgeneexpressionprofilesinperipheralbloodofpatientswithtype1diabetesmellitus AT luyuanhua analysisofimmunecellcomponentsandimmunerelatedgeneexpressionprofilesinperipheralbloodofpatientswithtype1diabetesmellitus AT wangbizhou analysisofimmunecellcomponentsandimmunerelatedgeneexpressionprofilesinperipheralbloodofpatientswithtype1diabetesmellitus AT jiaoping analysisofimmunecellcomponentsandimmunerelatedgeneexpressionprofilesinperipheralbloodofpatientswithtype1diabetesmellitus AT majie analysisofimmunecellcomponentsandimmunerelatedgeneexpressionprofilesinperipheralbloodofpatientswithtype1diabetesmellitus |