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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.
Afiliación
  • Chambliss AB; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Aljehani M; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Tran B; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Chen X; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Elton E; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Garri C; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Ung N; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Matasci N; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
  • Gross ME; Lawrence J. Ellison Institute for Transformative Medicine, Los Angeles, CA, USA.
Pract Lab Med ; 36: e00323, 2023 Aug.
Article en En | MEDLINE | ID: mdl-37649544
ABSTRACT

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 BMI 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pract Lab Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pract Lab Med Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos