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A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children

OBJECTIVE: Idiopathic short stature (ISS), an endocrine-related disease, is difficult to diagnose. Previous studies have shown that many children with some inflammation-related diseases often have short stature, but whether inflammation is the underlying mechanism of ISS has not been studied. Here,...

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Autores principales: Yuan, Jinghong, Du, Zhi, Wu, Zhiwen, Yang, Yanqin, Cheng, Xigao, Liu, Xijuan, Jia, Jingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485046/
https://www.ncbi.nlm.nih.gov/pubmed/34603204
http://dx.doi.org/10.3389/fendo.2021.721812
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author Yuan, Jinghong
Du, Zhi
Wu, Zhiwen
Yang, Yanqin
Cheng, Xigao
Liu, Xijuan
Jia, Jingyu
author_facet Yuan, Jinghong
Du, Zhi
Wu, Zhiwen
Yang, Yanqin
Cheng, Xigao
Liu, Xijuan
Jia, Jingyu
author_sort Yuan, Jinghong
collection PubMed
description OBJECTIVE: Idiopathic short stature (ISS), an endocrine-related disease, is difficult to diagnose. Previous studies have shown that many children with some inflammation-related diseases often have short stature, but whether inflammation is the underlying mechanism of ISS has not been studied. Here, we attempt to explore the role of inflammation in the occurrence and development of ISS and to demonstrate an available clinical diagnostic model of ISS. METHODS: Frozen serum samples were collected from ISS patients (n = 4) and control individuals (n = 4). Isobaric tags for relative and absolute quantitation (iTRAQ) combined with LC-MS/MS analysis were applied to quantitative proteomics analysis. To assess clusters of potentially interacting proteins, functional enrichment (GO and KEGG) and protein-protein interaction network analyses were performed, and the crucial proteins were detected by Molecular Complex Detection (MCODE). Furthermore, serum levels of two selected proteins were measured by ELISA between ISS patients (n = 80) and controls (n = 80). In addition, experiments in vitro were used to further explore the effects of crucial proteins on endochondral ossification. RESULTS: A total of 437 proteins were quantified, and 84 DEPs (60 upregulated and 24 downregulated) were identified between patients with ISS and controls. Functional enrichment analysis showed that the DEPs were primarily enriched in blood microparticle, acute inflammatory response, protein activation cascade, collagen-containing extracellular matrix, platelet degranulation, etc. According to the results of top 10 fold change DEPs and MCODE analysis, C1QA and C1QB were selected to further experiment. The expression levels of C1QA and C1QB were validated in serum samples. Based on the logistic regression analysis and ROC curve analysis, we constructed a novel diagnostic model by serum levels of C1QA and C1QB with a specificity of 91.2% and a sensitivity of 75% (AUC = 0.900, p <0.001). Finally, the western blotting analysis confirmed the expression levels of OCN, OPN, RUNX2, and Collagen X were downregulated in chondrocytes, and the outcome of Collagen II was upregulated. CONCLUSION: Our study is the first to demonstrate the significant role of inflammation in the development of ISS. In addition, we identify C1QA and C1QB as novel serum biomarkers for the diagnosis of ISS.
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spelling pubmed-84850462021-10-02 A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children Yuan, Jinghong Du, Zhi Wu, Zhiwen Yang, Yanqin Cheng, Xigao Liu, Xijuan Jia, Jingyu Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: Idiopathic short stature (ISS), an endocrine-related disease, is difficult to diagnose. Previous studies have shown that many children with some inflammation-related diseases often have short stature, but whether inflammation is the underlying mechanism of ISS has not been studied. Here, we attempt to explore the role of inflammation in the occurrence and development of ISS and to demonstrate an available clinical diagnostic model of ISS. METHODS: Frozen serum samples were collected from ISS patients (n = 4) and control individuals (n = 4). Isobaric tags for relative and absolute quantitation (iTRAQ) combined with LC-MS/MS analysis were applied to quantitative proteomics analysis. To assess clusters of potentially interacting proteins, functional enrichment (GO and KEGG) and protein-protein interaction network analyses were performed, and the crucial proteins were detected by Molecular Complex Detection (MCODE). Furthermore, serum levels of two selected proteins were measured by ELISA between ISS patients (n = 80) and controls (n = 80). In addition, experiments in vitro were used to further explore the effects of crucial proteins on endochondral ossification. RESULTS: A total of 437 proteins were quantified, and 84 DEPs (60 upregulated and 24 downregulated) were identified between patients with ISS and controls. Functional enrichment analysis showed that the DEPs were primarily enriched in blood microparticle, acute inflammatory response, protein activation cascade, collagen-containing extracellular matrix, platelet degranulation, etc. According to the results of top 10 fold change DEPs and MCODE analysis, C1QA and C1QB were selected to further experiment. The expression levels of C1QA and C1QB were validated in serum samples. Based on the logistic regression analysis and ROC curve analysis, we constructed a novel diagnostic model by serum levels of C1QA and C1QB with a specificity of 91.2% and a sensitivity of 75% (AUC = 0.900, p <0.001). Finally, the western blotting analysis confirmed the expression levels of OCN, OPN, RUNX2, and Collagen X were downregulated in chondrocytes, and the outcome of Collagen II was upregulated. CONCLUSION: Our study is the first to demonstrate the significant role of inflammation in the development of ISS. In addition, we identify C1QA and C1QB as novel serum biomarkers for the diagnosis of ISS. Frontiers Media S.A. 2021-09-17 /pmc/articles/PMC8485046/ /pubmed/34603204 http://dx.doi.org/10.3389/fendo.2021.721812 Text en Copyright © 2021 Yuan, Du, Wu, Yang, Cheng, Liu and Jia 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
Yuan, Jinghong
Du, Zhi
Wu, Zhiwen
Yang, Yanqin
Cheng, Xigao
Liu, Xijuan
Jia, Jingyu
A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title_full A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title_fullStr A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title_full_unstemmed A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title_short A Novel Diagnostic Predictive Model for Idiopathic Short Stature in Children
title_sort novel diagnostic predictive model for idiopathic short stature in children
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485046/
https://www.ncbi.nlm.nih.gov/pubmed/34603204
http://dx.doi.org/10.3389/fendo.2021.721812
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