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Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis

BACKGROUND: Mass vaccination has dramatically reduced the incidence of severe COVID-19, with most cases now presenting as self-limiting upper respiratory tract infections. However, those with co-morbidities, the elderly and immunocompromised, as well as the unvaccinated, remain disproportionately vu...

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Autores principales: Chan, Kuan Rong, Koh, Clara W.T., Ng, Dorothy H.L., Qin, Shijie, Ooi, Justin S.G., Ong, Eugenia Z., Zhang, Summer L.X., Sam, Huizhen, Kalimuddin, Shirin, Low, Jenny G.H., Ooi, Eng Eong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934388/
https://www.ncbi.nlm.nih.gov/pubmed/36801619
http://dx.doi.org/10.1016/j.ebiom.2023.104472
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author Chan, Kuan Rong
Koh, Clara W.T.
Ng, Dorothy H.L.
Qin, Shijie
Ooi, Justin S.G.
Ong, Eugenia Z.
Zhang, Summer L.X.
Sam, Huizhen
Kalimuddin, Shirin
Low, Jenny G.H.
Ooi, Eng Eong
author_facet Chan, Kuan Rong
Koh, Clara W.T.
Ng, Dorothy H.L.
Qin, Shijie
Ooi, Justin S.G.
Ong, Eugenia Z.
Zhang, Summer L.X.
Sam, Huizhen
Kalimuddin, Shirin
Low, Jenny G.H.
Ooi, Eng Eong
author_sort Chan, Kuan Rong
collection PubMed
description BACKGROUND: Mass vaccination has dramatically reduced the incidence of severe COVID-19, with most cases now presenting as self-limiting upper respiratory tract infections. However, those with co-morbidities, the elderly and immunocompromised, as well as the unvaccinated, remain disproportionately vulnerable to severe COVID-19 and its sequelae. Furthermore, as the effectiveness of vaccination wanes with time, immune escape SARS-CoV-2 variants could emerge to cause severe COVID-19. Reliable prognostic biomarkers for severe disease could be used as early indicator of re-emergence of severe COVID-19 as well as for triaging of patients for antiviral therapy. METHODS: We performed a systematic review and re-analysis of 7 publicly available datasets, analysing a total of 140 severe and 181 mild COVID-19 patients, to determine the most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients. In addition, we included an independent cohort where blood transcriptomics of COVID-19 patients were prospectively and longitudinally monitored previously, to track the time in which these gene expression changes occur before nadir of respiratory function. Single cell RNA-sequencing of peripheral blood mononuclear cells from publicly available datasets was then used to determine the immune cell subsets involved. FINDINGS: The most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients were MCEMP1, HLA-DRA and ETS1 across the 7 transcriptomics datasets. Moreover, we found significantly heightened MCEMP1 and reduced HLA-DRA expression as early as four days before the nadir of respiratory function, and the differential expression of MCEMP1 and HLA-DRA occurred predominantly in CD14+ cells. The online platform which we developed is publicly available at https://kuanrongchan-covid19-severity-app-t7l38g.streamlitapp.com/, for users to query gene expression differences between severe and mild COVID-19 patients in these datasets. INTERPRETATION: Elevated MCEMP1 and reduced HLA-DRA gene expression in CD14+ cells during the early phase of disease are prognostic of severe COVID-19. FUNDING: K.R.C is funded by the 10.13039/501100001349National Medical Research Council (NMRC) of Singapore under the Open Fund Individual Research Grant (MOH-000610). E.E.O. is funded by the 10.13039/501100001349NMRC Senior Clinician-Scientist Award (MOH-000135-00). J.G.H.L. is funded by the 10.13039/501100001349NMRC under the Clinician-Scientist Award (NMRC/CSAINV/013/2016-01). S.K. is funded by the 10.13039/501100001349NMRC under the Transition Award. This study was sponsored in part by a generous gift from The Hour Glass.
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spelling pubmed-99343882023-02-17 Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis Chan, Kuan Rong Koh, Clara W.T. Ng, Dorothy H.L. Qin, Shijie Ooi, Justin S.G. Ong, Eugenia Z. Zhang, Summer L.X. Sam, Huizhen Kalimuddin, Shirin Low, Jenny G.H. Ooi, Eng Eong eBioMedicine Articles BACKGROUND: Mass vaccination has dramatically reduced the incidence of severe COVID-19, with most cases now presenting as self-limiting upper respiratory tract infections. However, those with co-morbidities, the elderly and immunocompromised, as well as the unvaccinated, remain disproportionately vulnerable to severe COVID-19 and its sequelae. Furthermore, as the effectiveness of vaccination wanes with time, immune escape SARS-CoV-2 variants could emerge to cause severe COVID-19. Reliable prognostic biomarkers for severe disease could be used as early indicator of re-emergence of severe COVID-19 as well as for triaging of patients for antiviral therapy. METHODS: We performed a systematic review and re-analysis of 7 publicly available datasets, analysing a total of 140 severe and 181 mild COVID-19 patients, to determine the most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients. In addition, we included an independent cohort where blood transcriptomics of COVID-19 patients were prospectively and longitudinally monitored previously, to track the time in which these gene expression changes occur before nadir of respiratory function. Single cell RNA-sequencing of peripheral blood mononuclear cells from publicly available datasets was then used to determine the immune cell subsets involved. FINDINGS: The most consistent differentially regulated genes in peripheral blood of severe COVID-19 patients were MCEMP1, HLA-DRA and ETS1 across the 7 transcriptomics datasets. Moreover, we found significantly heightened MCEMP1 and reduced HLA-DRA expression as early as four days before the nadir of respiratory function, and the differential expression of MCEMP1 and HLA-DRA occurred predominantly in CD14+ cells. The online platform which we developed is publicly available at https://kuanrongchan-covid19-severity-app-t7l38g.streamlitapp.com/, for users to query gene expression differences between severe and mild COVID-19 patients in these datasets. INTERPRETATION: Elevated MCEMP1 and reduced HLA-DRA gene expression in CD14+ cells during the early phase of disease are prognostic of severe COVID-19. FUNDING: K.R.C is funded by the 10.13039/501100001349National Medical Research Council (NMRC) of Singapore under the Open Fund Individual Research Grant (MOH-000610). E.E.O. is funded by the 10.13039/501100001349NMRC Senior Clinician-Scientist Award (MOH-000135-00). J.G.H.L. is funded by the 10.13039/501100001349NMRC under the Clinician-Scientist Award (NMRC/CSAINV/013/2016-01). S.K. is funded by the 10.13039/501100001349NMRC under the Transition Award. This study was sponsored in part by a generous gift from The Hour Glass. Elsevier 2023-02-16 /pmc/articles/PMC9934388/ /pubmed/36801619 http://dx.doi.org/10.1016/j.ebiom.2023.104472 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Chan, Kuan Rong
Koh, Clara W.T.
Ng, Dorothy H.L.
Qin, Shijie
Ooi, Justin S.G.
Ong, Eugenia Z.
Zhang, Summer L.X.
Sam, Huizhen
Kalimuddin, Shirin
Low, Jenny G.H.
Ooi, Eng Eong
Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title_full Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title_fullStr Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title_full_unstemmed Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title_short Early peripheral blood MCEMP1 and HLA-DRA expression predicts COVID-19 prognosis
title_sort early peripheral blood mcemp1 and hla-dra expression predicts covid-19 prognosis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9934388/
https://www.ncbi.nlm.nih.gov/pubmed/36801619
http://dx.doi.org/10.1016/j.ebiom.2023.104472
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