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Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis

BACKGROUND: Vitiligo is an acquired, autoimmune, depigmented skin disease with unclear pathogenesis. Mitochondrial dysfunction contributes significantly to vitiligo, and mitophagy is vital for removing damaged mitochondria. Herein, using bioinformatic analysis, we sought to determine the possible ro...

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Autores principales: Luo, Lingling, Zhu, Jing, Guo, Youming, Li, Chengrang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242039/
https://www.ncbi.nlm.nih.gov/pubmed/37287971
http://dx.doi.org/10.3389/fimmu.2023.1164124
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author Luo, Lingling
Zhu, Jing
Guo, Youming
Li, Chengrang
author_facet Luo, Lingling
Zhu, Jing
Guo, Youming
Li, Chengrang
author_sort Luo, Lingling
collection PubMed
description BACKGROUND: Vitiligo is an acquired, autoimmune, depigmented skin disease with unclear pathogenesis. Mitochondrial dysfunction contributes significantly to vitiligo, and mitophagy is vital for removing damaged mitochondria. Herein, using bioinformatic analysis, we sought to determine the possible role of mitophagy-associated genes in vitiligo and immune infiltration. METHODS: Microarrays GSE53146 and GSE75819 were used to identify differentially expressed genes (DEGs) in vitiligo. By crossing vitiligo DEGs with mitophagy-related genes, the mitophagy-related DEGs were identified. Functional enrichment and protein-protein intersection (PPI) analyses were conducted. Then, the hub genes were identified using two machine algorithms, and receiver operating characteristic (ROC) curves were generated. Next, the immune infiltration and its connection with hub genes in vitiligo were investigated. Finally, the Regnetwork database and NetworkAnalyst were used to predict the upstream transcriptional factors (TFs), microRNAs (miRNAs), and the protein-compound network. RESULTS: A total of 24 mitophagy-related genes were screened. Then, five mitophagy hub genes (GABARAPL2, SP1, USP8, RELA, and TBC1D17) were identified using two machine learning algorithms, and these genes showed high diagnostic specificity for vitiligo. The PPI network showed that hub genes interacted with each other. The mRNA expression levels of five hub genes were validated in vitiligo lesions by qRT-PCR and were compatible with the bioinformatic results. Compared with controls, the abundance of activated CD4(+) T cells, CD8(+) T cells, immature dendritic cells and B cells, myeloid-derived suppressor cells (MDSCs), gamma delta T cells, mast cells, regulatory T cells (Tregs), and T helper 2 (Th2) cells was higher. However, the abundance of CD56 bright natural killer (NK) cells, monocytes, and NK cells was lower. Correlation analysis revealed a link between hub genes and immune infiltration. Meanwhile, we predicted the upstream TFs and miRNAs and the target compounds of hub genes. CONCLUSION: Five hub mitophagy-related genes were identified and correlated with immune infiltration in vitiligo. These findings suggested that mitophagy may promote the development of vitiligo by activating immune infiltration. Our study might enhance our comprehension of the pathogenic mechanism of vitiligo and offer a treatment option for vitiligo.
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spelling pubmed-102420392023-06-07 Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis Luo, Lingling Zhu, Jing Guo, Youming Li, Chengrang Front Immunol Immunology BACKGROUND: Vitiligo is an acquired, autoimmune, depigmented skin disease with unclear pathogenesis. Mitochondrial dysfunction contributes significantly to vitiligo, and mitophagy is vital for removing damaged mitochondria. Herein, using bioinformatic analysis, we sought to determine the possible role of mitophagy-associated genes in vitiligo and immune infiltration. METHODS: Microarrays GSE53146 and GSE75819 were used to identify differentially expressed genes (DEGs) in vitiligo. By crossing vitiligo DEGs with mitophagy-related genes, the mitophagy-related DEGs were identified. Functional enrichment and protein-protein intersection (PPI) analyses were conducted. Then, the hub genes were identified using two machine algorithms, and receiver operating characteristic (ROC) curves were generated. Next, the immune infiltration and its connection with hub genes in vitiligo were investigated. Finally, the Regnetwork database and NetworkAnalyst were used to predict the upstream transcriptional factors (TFs), microRNAs (miRNAs), and the protein-compound network. RESULTS: A total of 24 mitophagy-related genes were screened. Then, five mitophagy hub genes (GABARAPL2, SP1, USP8, RELA, and TBC1D17) were identified using two machine learning algorithms, and these genes showed high diagnostic specificity for vitiligo. The PPI network showed that hub genes interacted with each other. The mRNA expression levels of five hub genes were validated in vitiligo lesions by qRT-PCR and were compatible with the bioinformatic results. Compared with controls, the abundance of activated CD4(+) T cells, CD8(+) T cells, immature dendritic cells and B cells, myeloid-derived suppressor cells (MDSCs), gamma delta T cells, mast cells, regulatory T cells (Tregs), and T helper 2 (Th2) cells was higher. However, the abundance of CD56 bright natural killer (NK) cells, monocytes, and NK cells was lower. Correlation analysis revealed a link between hub genes and immune infiltration. Meanwhile, we predicted the upstream TFs and miRNAs and the target compounds of hub genes. CONCLUSION: Five hub mitophagy-related genes were identified and correlated with immune infiltration in vitiligo. These findings suggested that mitophagy may promote the development of vitiligo by activating immune infiltration. Our study might enhance our comprehension of the pathogenic mechanism of vitiligo and offer a treatment option for vitiligo. Frontiers Media S.A. 2023-05-23 /pmc/articles/PMC10242039/ /pubmed/37287971 http://dx.doi.org/10.3389/fimmu.2023.1164124 Text en Copyright © 2023 Luo, Zhu, Guo and Li 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 Immunology
Luo, Lingling
Zhu, Jing
Guo, Youming
Li, Chengrang
Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title_full Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title_fullStr Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title_full_unstemmed Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title_short Mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
title_sort mitophagy and immune infiltration in vitiligo: evidence from bioinformatics analysis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10242039/
https://www.ncbi.nlm.nih.gov/pubmed/37287971
http://dx.doi.org/10.3389/fimmu.2023.1164124
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