Cargando…

S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis

BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is one of interstitial lung diseases (ILDs) with poor prognosis. S100 calcium binding protein A12 (S100A12) has been reported as a prognostic serum biomarker in the IPF, but its correlation with IPF remains unclear in the lung tissue and bronchoalveola...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yupeng, He, Yaowu, Chen, Shibin, Wang, Qi, Yang, Yi, Shen, Danting, Ma, Jing, Wen, Zhe, Ning, Shangwei, Chen, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854978/
https://www.ncbi.nlm.nih.gov/pubmed/35185901
http://dx.doi.org/10.3389/fimmu.2022.810338
_version_ 1784653553638309888
author Li, Yupeng
He, Yaowu
Chen, Shibin
Wang, Qi
Yang, Yi
Shen, Danting
Ma, Jing
Wen, Zhe
Ning, Shangwei
Chen, Hong
author_facet Li, Yupeng
He, Yaowu
Chen, Shibin
Wang, Qi
Yang, Yi
Shen, Danting
Ma, Jing
Wen, Zhe
Ning, Shangwei
Chen, Hong
author_sort Li, Yupeng
collection PubMed
description BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is one of interstitial lung diseases (ILDs) with poor prognosis. S100 calcium binding protein A12 (S100A12) has been reported as a prognostic serum biomarker in the IPF, but its correlation with IPF remains unclear in the lung tissue and bronchoalveolar lavage fluids (BALF). METHODS: Datasets were collected from the Gene Expression Omnibus (GEO) database. Person correlation coefficient, Kaplan–Meier analysis, Cox regression analysis, functional enrichment analysis and so on were used. And single cell RNA-sequencing (scRNA-seq) analysis was also used to explore the role of S100A12 and related genes in the IPF. RESULTS: S100A12 was mainly and highly expressed in the monocytes, and its expression was downregulated in the lung of patients with IPF according to scRNA-seq and the transcriptome analysis. However, S100A12 expression was upregulated both in blood and BALF of patients with IPF. In addition, 10 genes were found to interact with S100A12 according to protein–protein interaction (PPI) network, and the first four transcription factors (TF) targeted these genes were found according to hTFtarget database. Two most significant co-expression genes of S100A12 were S100A8 and S100A9. The 3 genes were significantly negatively associated with lung function and positively associated with the St. George’s Respiratory Questionnaire (SGRQ) scores in the lung of patients with IPF. And, high expression of the 3 genes was associated with higher mortality in the BALF, and shorter transplant-free survival (TFS) and progression-free survival (PFS) time in the blood. Prognostic predictive value of S100A12 was more superior to S100A8 and S100A9 in patients with IPF, and the composited variable [S100A12 + GAP index (gender, age, and physiological index)] may be a more effective predictive index. CONCLUSION: These results imply that S100A12 might be an efficient disease severity and prognostic biomarker in patients with IPF.
format Online
Article
Text
id pubmed-8854978
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88549782022-02-19 S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis Li, Yupeng He, Yaowu Chen, Shibin Wang, Qi Yang, Yi Shen, Danting Ma, Jing Wen, Zhe Ning, Shangwei Chen, Hong Front Immunol Immunology BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is one of interstitial lung diseases (ILDs) with poor prognosis. S100 calcium binding protein A12 (S100A12) has been reported as a prognostic serum biomarker in the IPF, but its correlation with IPF remains unclear in the lung tissue and bronchoalveolar lavage fluids (BALF). METHODS: Datasets were collected from the Gene Expression Omnibus (GEO) database. Person correlation coefficient, Kaplan–Meier analysis, Cox regression analysis, functional enrichment analysis and so on were used. And single cell RNA-sequencing (scRNA-seq) analysis was also used to explore the role of S100A12 and related genes in the IPF. RESULTS: S100A12 was mainly and highly expressed in the monocytes, and its expression was downregulated in the lung of patients with IPF according to scRNA-seq and the transcriptome analysis. However, S100A12 expression was upregulated both in blood and BALF of patients with IPF. In addition, 10 genes were found to interact with S100A12 according to protein–protein interaction (PPI) network, and the first four transcription factors (TF) targeted these genes were found according to hTFtarget database. Two most significant co-expression genes of S100A12 were S100A8 and S100A9. The 3 genes were significantly negatively associated with lung function and positively associated with the St. George’s Respiratory Questionnaire (SGRQ) scores in the lung of patients with IPF. And, high expression of the 3 genes was associated with higher mortality in the BALF, and shorter transplant-free survival (TFS) and progression-free survival (PFS) time in the blood. Prognostic predictive value of S100A12 was more superior to S100A8 and S100A9 in patients with IPF, and the composited variable [S100A12 + GAP index (gender, age, and physiological index)] may be a more effective predictive index. CONCLUSION: These results imply that S100A12 might be an efficient disease severity and prognostic biomarker in patients with IPF. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8854978/ /pubmed/35185901 http://dx.doi.org/10.3389/fimmu.2022.810338 Text en Copyright © 2022 Li, He, Chen, Wang, Yang, Shen, Ma, Wen, Ning and Chen 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
Li, Yupeng
He, Yaowu
Chen, Shibin
Wang, Qi
Yang, Yi
Shen, Danting
Ma, Jing
Wen, Zhe
Ning, Shangwei
Chen, Hong
S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title_full S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title_fullStr S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title_full_unstemmed S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title_short S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis
title_sort s100a12 as biomarker of disease severity and prognosis in patients with idiopathic pulmonary fibrosis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8854978/
https://www.ncbi.nlm.nih.gov/pubmed/35185901
http://dx.doi.org/10.3389/fimmu.2022.810338
work_keys_str_mv AT liyupeng s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT heyaowu s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT chenshibin s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT wangqi s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT yangyi s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT shendanting s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT majing s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT wenzhe s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT ningshangwei s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis
AT chenhong s100a12asbiomarkerofdiseaseseverityandprognosisinpatientswithidiopathicpulmonaryfibrosis