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Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome

This study aimed to identify copper-induced death genes in primary Sjögren’s syndrome (pSS) and explore immune infiltration, risk and drug prediction models for salivary glands (SGs) damage. The 3 datasets, including GSE40611, GSE23117, and GSE7451 from the Gene Expression Omnibus database were down...

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Autores principales: Zhang, Naidan, Ji, Chaixia, Peng, Xinyin, Tang, Maoju, Bao, Xiao, Yuan, Chengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575826/
https://www.ncbi.nlm.nih.gov/pubmed/36254059
http://dx.doi.org/10.1097/MD.0000000000031050
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author Zhang, Naidan
Ji, Chaixia
Peng, Xinyin
Tang, Maoju
Bao, Xiao
Yuan, Chengliang
author_facet Zhang, Naidan
Ji, Chaixia
Peng, Xinyin
Tang, Maoju
Bao, Xiao
Yuan, Chengliang
author_sort Zhang, Naidan
collection PubMed
description This study aimed to identify copper-induced death genes in primary Sjögren’s syndrome (pSS) and explore immune infiltration, risk and drug prediction models for salivary glands (SGs) damage. The 3 datasets, including GSE40611, GSE23117, and GSE7451 from the Gene Expression Omnibus database were downloaded. The datasets were processed using the affy in R (version 4.0.3). In immune cells, copper-induced death genes were strongly expressed in “activated” dendritic cells (aDCs), macrophages and regulatory T cells (Treg). In immune functions, copper-induced death genes were strongly expressed in major histocompatibility complex (MHC) class I, human leukocyte antigen (HLA) and type I interferon (IFN) response. Correlation analysis showed that 5 genes including SLC31A1, PDHA1, DLD, ATP7B, and ATP7A were significantly correlated with immune infiltration. The nomogram suggested that the low expression of PDHA1 was significant for predicting the risk of pSS and the area under curve was 0.678. Drug model suggested that “Bathocuproine disulfonate CTD 00001350,” “Vitinoin CTD 00007069,” and “Resveratrol CTD 00002483” were the drugs most strongly associated with copper-induced death genes. In summary, copper-induced death genes are associated with SGs injury in pSS, which is worthy of clinicians’ attention.
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spelling pubmed-95758262022-10-17 Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome Zhang, Naidan Ji, Chaixia Peng, Xinyin Tang, Maoju Bao, Xiao Yuan, Chengliang Medicine (Baltimore) 3600 Clinical immunology This study aimed to identify copper-induced death genes in primary Sjögren’s syndrome (pSS) and explore immune infiltration, risk and drug prediction models for salivary glands (SGs) damage. The 3 datasets, including GSE40611, GSE23117, and GSE7451 from the Gene Expression Omnibus database were downloaded. The datasets were processed using the affy in R (version 4.0.3). In immune cells, copper-induced death genes were strongly expressed in “activated” dendritic cells (aDCs), macrophages and regulatory T cells (Treg). In immune functions, copper-induced death genes were strongly expressed in major histocompatibility complex (MHC) class I, human leukocyte antigen (HLA) and type I interferon (IFN) response. Correlation analysis showed that 5 genes including SLC31A1, PDHA1, DLD, ATP7B, and ATP7A were significantly correlated with immune infiltration. The nomogram suggested that the low expression of PDHA1 was significant for predicting the risk of pSS and the area under curve was 0.678. Drug model suggested that “Bathocuproine disulfonate CTD 00001350,” “Vitinoin CTD 00007069,” and “Resveratrol CTD 00002483” were the drugs most strongly associated with copper-induced death genes. In summary, copper-induced death genes are associated with SGs injury in pSS, which is worthy of clinicians’ attention. Lippincott Williams & Wilkins 2022-10-14 /pmc/articles/PMC9575826/ /pubmed/36254059 http://dx.doi.org/10.1097/MD.0000000000031050 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 3600 Clinical immunology
Zhang, Naidan
Ji, Chaixia
Peng, Xinyin
Tang, Maoju
Bao, Xiao
Yuan, Chengliang
Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title_full Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title_fullStr Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title_full_unstemmed Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title_short Bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary Sjögren’s syndrome
title_sort bioinformatics analysis identified immune infiltration, risk and drug prediction models of copper-induced death genes involved in salivary glands damage of primary sjögren’s syndrome
topic 3600 Clinical immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575826/
https://www.ncbi.nlm.nih.gov/pubmed/36254059
http://dx.doi.org/10.1097/MD.0000000000031050
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