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Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population

OBJECTIVES: We sought to identify immune biomarkers associated with severe Coronavirus disease 2019 (COVID-19) in patients admitted to a large urban hospital during the early phase of the SARS-CoV-2 pandemic. DESIGN: The study population consisted of SARS-CoV-2 positive subjects admitted for COVID-1...

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Autores principales: Chambliss, Allison B., Aljehani, Mayada, Tran, Brian, Chen, Xingyao, Elton, Elizabeth, Garri, Carolina, Ung, Nolan, Matasci, Naim, Gross, Mitchell E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462676/
https://www.ncbi.nlm.nih.gov/pubmed/37649544
http://dx.doi.org/10.1016/j.plabm.2023.e00323
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author Chambliss, Allison B.
Aljehani, Mayada
Tran, Brian
Chen, Xingyao
Elton, Elizabeth
Garri, Carolina
Ung, Nolan
Matasci, Naim
Gross, Mitchell E.
author_facet Chambliss, Allison B.
Aljehani, Mayada
Tran, Brian
Chen, Xingyao
Elton, Elizabeth
Garri, Carolina
Ung, Nolan
Matasci, Naim
Gross, Mitchell E.
author_sort Chambliss, Allison B.
collection PubMed
description OBJECTIVES: We sought to identify immune biomarkers associated with severe Coronavirus disease 2019 (COVID-19) in patients admitted to a large urban hospital during the early phase of the SARS-CoV-2 pandemic. DESIGN: The study population consisted of SARS-CoV-2 positive subjects admitted for COVID-19 (n = 58) or controls (n = 14) at the Los Angeles County University of Southern California Medical Center between April 2020 through December 2020. Immunologic markers including chemokine/cytokines (IL-6, IL-8, IL-10, IP-10, MCP-1, TNF-α) and serologic markers against SARS-CoV-2 antigens (including spike subunits S1 and S2, receptor binding domain, and nucleocapsid) were assessed in serum collected on the day of admission using bead-based multiplex immunoassay panels. RESULTS: We observed that body mass index (BMI) and SARS-CoV-2 antibodies were significantly elevated in patients with the highest COVID-19 disease severity. IP-10 was significantly elevated in COVID-19 patients and was associated with increased SARS-CoV-2 antibodies. Interactions among all available variables on COVID-19 disease severity were explored using a linear support vector machine model which supported the importance of 10.13039/100000993BMI and SARS-CoV-2 antibodies. CONCLUSIONS: Our results confirm the known adverse association of BMI on COVID-19 severity and suggest that IP-10 and SARS-CoV-2 antibodies could be useful to identify patients most likely to experience the most severe forms of the disease.
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spelling pubmed-104626762023-08-30 Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population Chambliss, Allison B. Aljehani, Mayada Tran, Brian Chen, Xingyao Elton, Elizabeth Garri, Carolina Ung, Nolan Matasci, Naim Gross, Mitchell E. Pract Lab Med Original Research Article OBJECTIVES: We sought to identify immune biomarkers associated with severe Coronavirus disease 2019 (COVID-19) in patients admitted to a large urban hospital during the early phase of the SARS-CoV-2 pandemic. DESIGN: The study population consisted of SARS-CoV-2 positive subjects admitted for COVID-19 (n = 58) or controls (n = 14) at the Los Angeles County University of Southern California Medical Center between April 2020 through December 2020. Immunologic markers including chemokine/cytokines (IL-6, IL-8, IL-10, IP-10, MCP-1, TNF-α) and serologic markers against SARS-CoV-2 antigens (including spike subunits S1 and S2, receptor binding domain, and nucleocapsid) were assessed in serum collected on the day of admission using bead-based multiplex immunoassay panels. RESULTS: We observed that body mass index (BMI) and SARS-CoV-2 antibodies were significantly elevated in patients with the highest COVID-19 disease severity. IP-10 was significantly elevated in COVID-19 patients and was associated with increased SARS-CoV-2 antibodies. Interactions among all available variables on COVID-19 disease severity were explored using a linear support vector machine model which supported the importance of 10.13039/100000993BMI and SARS-CoV-2 antibodies. CONCLUSIONS: Our results confirm the known adverse association of BMI on COVID-19 severity and suggest that IP-10 and SARS-CoV-2 antibodies could be useful to identify patients most likely to experience the most severe forms of the disease. Elsevier 2023-07-03 /pmc/articles/PMC10462676/ /pubmed/37649544 http://dx.doi.org/10.1016/j.plabm.2023.e00323 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Chambliss, Allison B.
Aljehani, Mayada
Tran, Brian
Chen, Xingyao
Elton, Elizabeth
Garri, Carolina
Ung, Nolan
Matasci, Naim
Gross, Mitchell E.
Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title_full Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title_fullStr Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title_full_unstemmed Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title_short Immune biomarkers associated with COVID-19 disease severity in an urban, hospitalized population
title_sort immune biomarkers associated with covid-19 disease severity in an urban, hospitalized population
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462676/
https://www.ncbi.nlm.nih.gov/pubmed/37649544
http://dx.doi.org/10.1016/j.plabm.2023.e00323
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