Cargando…
Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients
BACKGROUND: COVID-19 is now a common disease, but its pathogenesis remains unknown. Blood circulating proteins reflect host defenses against COVID-19. We investigated whether evaluation of longitudinal blood proteomics for COVID-19 and merging with clinical information would allow elucidation of its...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638294/ https://www.ncbi.nlm.nih.gov/pubmed/36331721 http://dx.doi.org/10.1007/s10875-022-01386-3 |
_version_ | 1784825374942691328 |
---|---|
author | Ebihara, Takeshi Matsubara, Tsunehiro Togami, Yuki Matsumoto, Hisatake Tachino, Jotaro Matsuura, Hiroshi Kojima, Takashi Sugihara, Fuminori Seno, Shigeto Okuzaki, Daisuke Hirata, Haruhiko Ogura, Hiroshi |
author_facet | Ebihara, Takeshi Matsubara, Tsunehiro Togami, Yuki Matsumoto, Hisatake Tachino, Jotaro Matsuura, Hiroshi Kojima, Takashi Sugihara, Fuminori Seno, Shigeto Okuzaki, Daisuke Hirata, Haruhiko Ogura, Hiroshi |
author_sort | Ebihara, Takeshi |
collection | PubMed |
description | BACKGROUND: COVID-19 is now a common disease, but its pathogenesis remains unknown. Blood circulating proteins reflect host defenses against COVID-19. We investigated whether evaluation of longitudinal blood proteomics for COVID-19 and merging with clinical information would allow elucidation of its pathogenesis and develop a useful clinical phenotype. METHODS: To achieve the first goal (determining key proteins), we derived plasma proteins related to disease severity by using a first discovery cohort. We then assessed the association of the derived proteins with clinical outcome in a second discovery cohort. Finally, the candidates were validated by enzyme-linked immunosorbent assay in a validation cohort to determine key proteins. For the second goal (understanding the associations of the clinical phenotypes with 28-day mortality and clinical outcome), we assessed the associations between clinical phenotypes derived by latent cluster analysis with the key proteins and 28-day mortality and clinical outcome. RESULTS: We identified four key proteins (WFDC2, GDF15, CHI3L1, and KRT19) involved in critical pathogenesis from the three different cohorts. These key proteins were related to the function of cell adhesion and not immune response. Considering the multicollinearity, three clinical phenotypes based on WFDC2, CHI3L1, and KRT19 were identified that were associated with mortality and clinical outcome. CONCLUSION: The use of these easily measured key proteins offered new insight into the pathogenesis of COVID-19 and could be useful in a potential clinical application. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-022-01386-3. |
format | Online Article Text |
id | pubmed-9638294 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96382942022-11-07 Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients Ebihara, Takeshi Matsubara, Tsunehiro Togami, Yuki Matsumoto, Hisatake Tachino, Jotaro Matsuura, Hiroshi Kojima, Takashi Sugihara, Fuminori Seno, Shigeto Okuzaki, Daisuke Hirata, Haruhiko Ogura, Hiroshi J Clin Immunol Original Article BACKGROUND: COVID-19 is now a common disease, but its pathogenesis remains unknown. Blood circulating proteins reflect host defenses against COVID-19. We investigated whether evaluation of longitudinal blood proteomics for COVID-19 and merging with clinical information would allow elucidation of its pathogenesis and develop a useful clinical phenotype. METHODS: To achieve the first goal (determining key proteins), we derived plasma proteins related to disease severity by using a first discovery cohort. We then assessed the association of the derived proteins with clinical outcome in a second discovery cohort. Finally, the candidates were validated by enzyme-linked immunosorbent assay in a validation cohort to determine key proteins. For the second goal (understanding the associations of the clinical phenotypes with 28-day mortality and clinical outcome), we assessed the associations between clinical phenotypes derived by latent cluster analysis with the key proteins and 28-day mortality and clinical outcome. RESULTS: We identified four key proteins (WFDC2, GDF15, CHI3L1, and KRT19) involved in critical pathogenesis from the three different cohorts. These key proteins were related to the function of cell adhesion and not immune response. Considering the multicollinearity, three clinical phenotypes based on WFDC2, CHI3L1, and KRT19 were identified that were associated with mortality and clinical outcome. CONCLUSION: The use of these easily measured key proteins offered new insight into the pathogenesis of COVID-19 and could be useful in a potential clinical application. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10875-022-01386-3. Springer US 2022-11-04 2023 /pmc/articles/PMC9638294/ /pubmed/36331721 http://dx.doi.org/10.1007/s10875-022-01386-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Ebihara, Takeshi Matsubara, Tsunehiro Togami, Yuki Matsumoto, Hisatake Tachino, Jotaro Matsuura, Hiroshi Kojima, Takashi Sugihara, Fuminori Seno, Shigeto Okuzaki, Daisuke Hirata, Haruhiko Ogura, Hiroshi Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title | Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title_full | Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title_fullStr | Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title_full_unstemmed | Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title_short | Combination of WFDC2, CHI3L1, and KRT19 in Plasma Defines a Clinically Useful Molecular Phenotype Associated with Prognosis in Critically Ill COVID-19 Patients |
title_sort | combination of wfdc2, chi3l1, and krt19 in plasma defines a clinically useful molecular phenotype associated with prognosis in critically ill covid-19 patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638294/ https://www.ncbi.nlm.nih.gov/pubmed/36331721 http://dx.doi.org/10.1007/s10875-022-01386-3 |
work_keys_str_mv | AT ebiharatakeshi combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT matsubaratsunehiro combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT togamiyuki combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT matsumotohisatake combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT tachinojotaro combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT matsuurahiroshi combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT kojimatakashi combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT sugiharafuminori combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT senoshigeto combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT okuzakidaisuke combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT hirataharuhiko combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients AT ogurahiroshi combinationofwfdc2chi3l1andkrt19inplasmadefinesaclinicallyusefulmolecularphenotypeassociatedwithprognosisincriticallyillcovid19patients |