Cargando…
Identification of potential biomarkers and immune infiltration characteristics in severe asthma
Objectives: We hope to identify key molecules that can be used as markers of asthma severity and investigate their correlation with immune cell infiltration in severe asthma. Methods: An asthma dataset was downloaded from the Gene Expression Omnibus database and then processed by R software to obtai...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280849/ https://www.ncbi.nlm.nih.gov/pubmed/35817495 http://dx.doi.org/10.1177/03946320221114194 |
_version_ | 1784746743864229888 |
---|---|
author | Jiang, Yuanyuan Deng, Shuanglinzi Hu, Xinyue Luo, Lisha Zhang, Yingyu Zhang, Daimo Li, Xiaozhao Feng, Juntao |
author_facet | Jiang, Yuanyuan Deng, Shuanglinzi Hu, Xinyue Luo, Lisha Zhang, Yingyu Zhang, Daimo Li, Xiaozhao Feng, Juntao |
author_sort | Jiang, Yuanyuan |
collection | PubMed |
description | Objectives: We hope to identify key molecules that can be used as markers of asthma severity and investigate their correlation with immune cell infiltration in severe asthma. Methods: An asthma dataset was downloaded from the Gene Expression Omnibus database and then processed by R software to obtain differentially expressed genes (DEGs). First, multiple enrichment platforms were applied to analyze crucial biological processes and pathways and protein–protein interaction networks related to the DEGs. We next combined least absolute shrinkage and selection operator logistic regression and the support vector machine-recursive feature elimination algorithms to screen diagnostic markers of severe asthma. Then, a local cohort consisting of 40 asthmatic subjects (24 with moderate asthma and 16 with severe asthma) was used for biomarker validation. Finally, infiltration of immune cells in asthma bronchoalveolar lavage fluid and their correlation with the screened markers was evaluated by CIBERSORT. Results: A total of 97 DEGs were identified in this study. Most of these genes are enriched in T cell activation and immune response in the asthma biological process. CC-chemokine receptor 7 (CCR7) and natural killer cell protein 7(NKG7) were identified as markers of severe asthma. The highest area under the ROC curve (AUC) was from a new indicator combining CCR7 and NKG7 (AUC = 0.851, adj. p < 0.05). Resting and activated memory CD4 T cells, activated NK cells, and CD8 T cells were found to be significantly higher in the severe asthma group (adj. p < 0.01). CCR7 and NKG7 were significantly correlated with these infiltrated cells that showed differences between the two groups. In addition, CCR7 was found to be significantly positively correlated with eosinophils (r = 0.38, adj. p < 0.05) infiltrated in bronchoalveolar lavage fluid. Conclusion: CCR7 and NKG7 might be used as potential markers for asthma severity, and their expression may be associated with differences in immune cell infiltration in the moderate and severe asthma groups. |
format | Online Article Text |
id | pubmed-9280849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92808492022-07-15 Identification of potential biomarkers and immune infiltration characteristics in severe asthma Jiang, Yuanyuan Deng, Shuanglinzi Hu, Xinyue Luo, Lisha Zhang, Yingyu Zhang, Daimo Li, Xiaozhao Feng, Juntao Int J Immunopathol Pharmacol Original Research Article Objectives: We hope to identify key molecules that can be used as markers of asthma severity and investigate their correlation with immune cell infiltration in severe asthma. Methods: An asthma dataset was downloaded from the Gene Expression Omnibus database and then processed by R software to obtain differentially expressed genes (DEGs). First, multiple enrichment platforms were applied to analyze crucial biological processes and pathways and protein–protein interaction networks related to the DEGs. We next combined least absolute shrinkage and selection operator logistic regression and the support vector machine-recursive feature elimination algorithms to screen diagnostic markers of severe asthma. Then, a local cohort consisting of 40 asthmatic subjects (24 with moderate asthma and 16 with severe asthma) was used for biomarker validation. Finally, infiltration of immune cells in asthma bronchoalveolar lavage fluid and their correlation with the screened markers was evaluated by CIBERSORT. Results: A total of 97 DEGs were identified in this study. Most of these genes are enriched in T cell activation and immune response in the asthma biological process. CC-chemokine receptor 7 (CCR7) and natural killer cell protein 7(NKG7) were identified as markers of severe asthma. The highest area under the ROC curve (AUC) was from a new indicator combining CCR7 and NKG7 (AUC = 0.851, adj. p < 0.05). Resting and activated memory CD4 T cells, activated NK cells, and CD8 T cells were found to be significantly higher in the severe asthma group (adj. p < 0.01). CCR7 and NKG7 were significantly correlated with these infiltrated cells that showed differences between the two groups. In addition, CCR7 was found to be significantly positively correlated with eosinophils (r = 0.38, adj. p < 0.05) infiltrated in bronchoalveolar lavage fluid. Conclusion: CCR7 and NKG7 might be used as potential markers for asthma severity, and their expression may be associated with differences in immune cell infiltration in the moderate and severe asthma groups. SAGE Publications 2022-07-11 /pmc/articles/PMC9280849/ /pubmed/35817495 http://dx.doi.org/10.1177/03946320221114194 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Jiang, Yuanyuan Deng, Shuanglinzi Hu, Xinyue Luo, Lisha Zhang, Yingyu Zhang, Daimo Li, Xiaozhao Feng, Juntao Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title | Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title_full | Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title_fullStr | Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title_full_unstemmed | Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title_short | Identification of potential biomarkers and immune infiltration characteristics in severe asthma |
title_sort | identification of potential biomarkers and immune infiltration characteristics in severe asthma |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280849/ https://www.ncbi.nlm.nih.gov/pubmed/35817495 http://dx.doi.org/10.1177/03946320221114194 |
work_keys_str_mv | AT jiangyuanyuan identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT dengshuanglinzi identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT huxinyue identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT luolisha identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT zhangyingyu identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT zhangdaimo identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT lixiaozhao identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma AT fengjuntao identificationofpotentialbiomarkersandimmuneinfiltrationcharacteristicsinsevereasthma |