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Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension

Objective: Regulatory T cells (Tregs) are critical immune modulators to maintain immune homeostasis and limit pulmonary hypertension (PH). This study was aimed to identify Treg-related genes (TRGs) in PH. Methods: The gene expression profile from lungs of PH patients was retrieved from the Gene Expr...

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Autores principales: Liu, Yan, Shi, Jun-Zhuo, Jiang, Rong, Liu, Shao-Fei, He, Yang-Yang, van der Vorst, Emiel P. C., Weber, Christian, Döring, Yvonne, Yan, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197497/
https://www.ncbi.nlm.nih.gov/pubmed/35712711
http://dx.doi.org/10.3389/fphar.2022.908783
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author Liu, Yan
Shi, Jun-Zhuo
Jiang, Rong
Liu, Shao-Fei
He, Yang-Yang
van der Vorst, Emiel P. C.
Weber, Christian
Döring, Yvonne
Yan, Yi
author_facet Liu, Yan
Shi, Jun-Zhuo
Jiang, Rong
Liu, Shao-Fei
He, Yang-Yang
van der Vorst, Emiel P. C.
Weber, Christian
Döring, Yvonne
Yan, Yi
author_sort Liu, Yan
collection PubMed
description Objective: Regulatory T cells (Tregs) are critical immune modulators to maintain immune homeostasis and limit pulmonary hypertension (PH). This study was aimed to identify Treg-related genes (TRGs) in PH. Methods: The gene expression profile from lungs of PH patients was retrieved from the Gene Expression Omnibus (GEO) database. The abundance of Tregs was estimated by the xCell algorithm, the correlation of which with differentially expressed genes (DEGs) was performed. DEGs with a |Pearson correlation coefficient| >0.4 were identified as TRGs. Functional annotation and the protein–protein interaction (PPI) network were analyzed. A gene signature for 25 hub TRGs (TRGscore) was generated by a single sample scoring method to determine its accuracy to distinguish PH from control subjects. TRGs were validated in datasets of transcriptional profiling of PH cohorts and in lung tissues of experimental PH mice. Results: A total of 819 DEGs were identified in lungs of 58 PAH patients compared to that of 25 control subjects of dataset GSE117261. In total, 165 of all these DEGs were correlated with the abundance of Tregs and identified as TRGs, with 90 upregulated genes and 75 downregulated genes compared to that of control subjects. The upregulated TRGs were enriched in negative regulation of multiple pathways, such as cAMP-mediated signaling and I-kappaB kinase/NF-kappaB signaling, and regulated by multiple genes encoding transcriptional factors including HIF1A. Furthermore, 25 hub genes categorized into three clusters out of 165 TRGs were derived, and we identified 27 potential drugs targeting 10 hub TRGs. The TRGscore based on 25 hub TRGs was higher in PH patients and could distinguish PH from control subjects (all AUC >0.7). Among them, 10 genes including NCF2, MNDA/Ifi211, HCK, FGR, CSF3R, AQP9, S100A8, G6PD/G6pdx, PGD, and TXNRD1 were significantly reduced in lungs of severe PH patients of dataset GSE24988 as well as in lungs of hypoxic PH mice compared to corresponding controls. Conclusion: Our finding will shed some light on the Treg-associated therapeutic targets in the progression of PH and emphasize on TRGscore as a novel indicator for PH.
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spelling pubmed-91974972022-06-15 Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension Liu, Yan Shi, Jun-Zhuo Jiang, Rong Liu, Shao-Fei He, Yang-Yang van der Vorst, Emiel P. C. Weber, Christian Döring, Yvonne Yan, Yi Front Pharmacol Pharmacology Objective: Regulatory T cells (Tregs) are critical immune modulators to maintain immune homeostasis and limit pulmonary hypertension (PH). This study was aimed to identify Treg-related genes (TRGs) in PH. Methods: The gene expression profile from lungs of PH patients was retrieved from the Gene Expression Omnibus (GEO) database. The abundance of Tregs was estimated by the xCell algorithm, the correlation of which with differentially expressed genes (DEGs) was performed. DEGs with a |Pearson correlation coefficient| >0.4 were identified as TRGs. Functional annotation and the protein–protein interaction (PPI) network were analyzed. A gene signature for 25 hub TRGs (TRGscore) was generated by a single sample scoring method to determine its accuracy to distinguish PH from control subjects. TRGs were validated in datasets of transcriptional profiling of PH cohorts and in lung tissues of experimental PH mice. Results: A total of 819 DEGs were identified in lungs of 58 PAH patients compared to that of 25 control subjects of dataset GSE117261. In total, 165 of all these DEGs were correlated with the abundance of Tregs and identified as TRGs, with 90 upregulated genes and 75 downregulated genes compared to that of control subjects. The upregulated TRGs were enriched in negative regulation of multiple pathways, such as cAMP-mediated signaling and I-kappaB kinase/NF-kappaB signaling, and regulated by multiple genes encoding transcriptional factors including HIF1A. Furthermore, 25 hub genes categorized into three clusters out of 165 TRGs were derived, and we identified 27 potential drugs targeting 10 hub TRGs. The TRGscore based on 25 hub TRGs was higher in PH patients and could distinguish PH from control subjects (all AUC >0.7). Among them, 10 genes including NCF2, MNDA/Ifi211, HCK, FGR, CSF3R, AQP9, S100A8, G6PD/G6pdx, PGD, and TXNRD1 were significantly reduced in lungs of severe PH patients of dataset GSE24988 as well as in lungs of hypoxic PH mice compared to corresponding controls. Conclusion: Our finding will shed some light on the Treg-associated therapeutic targets in the progression of PH and emphasize on TRGscore as a novel indicator for PH. Frontiers Media S.A. 2022-05-31 /pmc/articles/PMC9197497/ /pubmed/35712711 http://dx.doi.org/10.3389/fphar.2022.908783 Text en Copyright © 2022 Liu, Shi, Jiang, Liu, He, van der Vorst, Weber, Döring and Yan. 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 Pharmacology
Liu, Yan
Shi, Jun-Zhuo
Jiang, Rong
Liu, Shao-Fei
He, Yang-Yang
van der Vorst, Emiel P. C.
Weber, Christian
Döring, Yvonne
Yan, Yi
Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title_full Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title_fullStr Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title_full_unstemmed Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title_short Regulatory T Cell-Related Gene Indicators in Pulmonary Hypertension
title_sort regulatory t cell-related gene indicators in pulmonary hypertension
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197497/
https://www.ncbi.nlm.nih.gov/pubmed/35712711
http://dx.doi.org/10.3389/fphar.2022.908783
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