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Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins

INTRODUCTION: Turner syndrome (TS) is a chromosomal disorder that affects phenotypic females who have one intact X chromosome and complete or partial absence of the second sex chromosome in association with one or more clinical manifestations. However, the immunological profile of TS with different...

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Autores principales: Qi, Xiao, Wang, Qinghua, Yu, Mingdong, Kong, Yujia, Shi, Fuyan, Wang, Suzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887020/
https://www.ncbi.nlm.nih.gov/pubmed/36733527
http://dx.doi.org/10.3389/fendo.2023.1024244
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author Qi, Xiao
Wang, Qinghua
Yu, Mingdong
Kong, Yujia
Shi, Fuyan
Wang, Suzhen
author_facet Qi, Xiao
Wang, Qinghua
Yu, Mingdong
Kong, Yujia
Shi, Fuyan
Wang, Suzhen
author_sort Qi, Xiao
collection PubMed
description INTRODUCTION: Turner syndrome (TS) is a chromosomal disorder that affects phenotypic females who have one intact X chromosome and complete or partial absence of the second sex chromosome in association with one or more clinical manifestations. However, the immunological profile of TS with different X chromosome origins is incompletely understood. METHODS: In this study, transcriptomic expression profiles of 26 TS (45,X) samples and 10 normal karyotype (46,XX) samples derived from GSE46687 cohort were employed. Differentially expressed immune-related genes (DEIRGs) between monosomy X TS patients with different X chromosome origins and normal females were investigated respectively. Subsequently, functional annotation, protein-protein interaction (PPI) network analysis, immunocyte infiltration evaluation, tissue-specific gene expression and Weighted gene co expression network analysis (WGCNA) were performed to explore the immunological characteristic in TS with different X chromosome origins. RESULTS: 34 and 52 DEIRGs were respectively identified in 45,Xm and 45,Xp patients compared with normal individuals. The identified DEIRGs in Xm group were significantly enriched in pathways associated with cancer. In Xp TS patients, the most enriched signals were immune response-related. A majority of genes involved in the above pathways were downregulated. PPI analysis identified 4 (FLT3, IL3RA, CSF2RA, PIK3R3) and 6 (PDGFRB, CSF2, IL5, PRL, CCL17 and IL2)hub genes for Xm and Xp groups, respectively. CIBERSORT results showed that the proportion of Tregs in the Xm group and the naive B cells and resting NK cells in the Xp group significantly increased, respectively. Tissue-specific expression results indicated that BDCA4+_dentritic cells and CD19+ B cells were the prominent specific expressed tissues in Xp patients. Results of WGCNA support the above analysis. CONCLUSIONS: This study aims at studying the immunological characteristics of TS with different X chromosome origins. Pathways in cancer in Xm group and immune response in Xp group were suppressed. 4 and 6 hub IRGs were identified as biomarkers for Xm and Xp patients, respectively. B cells played important roles in Xp patients. Further studies are needed to draw more attention to the functional validation of these hub genes and the roles of B cells.
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spelling pubmed-98870202023-02-01 Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins Qi, Xiao Wang, Qinghua Yu, Mingdong Kong, Yujia Shi, Fuyan Wang, Suzhen Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Turner syndrome (TS) is a chromosomal disorder that affects phenotypic females who have one intact X chromosome and complete or partial absence of the second sex chromosome in association with one or more clinical manifestations. However, the immunological profile of TS with different X chromosome origins is incompletely understood. METHODS: In this study, transcriptomic expression profiles of 26 TS (45,X) samples and 10 normal karyotype (46,XX) samples derived from GSE46687 cohort were employed. Differentially expressed immune-related genes (DEIRGs) between monosomy X TS patients with different X chromosome origins and normal females were investigated respectively. Subsequently, functional annotation, protein-protein interaction (PPI) network analysis, immunocyte infiltration evaluation, tissue-specific gene expression and Weighted gene co expression network analysis (WGCNA) were performed to explore the immunological characteristic in TS with different X chromosome origins. RESULTS: 34 and 52 DEIRGs were respectively identified in 45,Xm and 45,Xp patients compared with normal individuals. The identified DEIRGs in Xm group were significantly enriched in pathways associated with cancer. In Xp TS patients, the most enriched signals were immune response-related. A majority of genes involved in the above pathways were downregulated. PPI analysis identified 4 (FLT3, IL3RA, CSF2RA, PIK3R3) and 6 (PDGFRB, CSF2, IL5, PRL, CCL17 and IL2)hub genes for Xm and Xp groups, respectively. CIBERSORT results showed that the proportion of Tregs in the Xm group and the naive B cells and resting NK cells in the Xp group significantly increased, respectively. Tissue-specific expression results indicated that BDCA4+_dentritic cells and CD19+ B cells were the prominent specific expressed tissues in Xp patients. Results of WGCNA support the above analysis. CONCLUSIONS: This study aims at studying the immunological characteristics of TS with different X chromosome origins. Pathways in cancer in Xm group and immune response in Xp group were suppressed. 4 and 6 hub IRGs were identified as biomarkers for Xm and Xp patients, respectively. B cells played important roles in Xp patients. Further studies are needed to draw more attention to the functional validation of these hub genes and the roles of B cells. Frontiers Media S.A. 2023-01-17 /pmc/articles/PMC9887020/ /pubmed/36733527 http://dx.doi.org/10.3389/fendo.2023.1024244 Text en Copyright © 2023 Qi, Wang, Yu, Kong, Shi and Wang 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
Qi, Xiao
Wang, Qinghua
Yu, Mingdong
Kong, Yujia
Shi, Fuyan
Wang, Suzhen
Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title_full Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title_fullStr Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title_full_unstemmed Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title_short Bioinformatic analysis identifies the immunological profile of turner syndrome with different X chromosome origins
title_sort bioinformatic analysis identifies the immunological profile of turner syndrome with different x chromosome origins
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887020/
https://www.ncbi.nlm.nih.gov/pubmed/36733527
http://dx.doi.org/10.3389/fendo.2023.1024244
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