Characterization of METRNβ as a novel biomarker of Coronavirus disease 2019 severity and prognosis

Copyright © 2023 Gao, Chan, Wong, Ng, Yeung, Lui, Ling, Hui, Huang and Wong..

Introduction: Coronavirus disease 2019 (COVID-19) is increasing worldwide, with complications due to frequent viral mutations, an intricate pathophysiology, and variable host immune responses. Biomarkers with predictive and prognostic value are crucial but lacking.

Methods: Serum samples from authentic and D614G variant (non-Omicron), and Omicron-SARS-CoV-2 infected patients were collected for METRNβ detection and longitudinal cytokine/chemokine analysis. Correlation analyses were performed to compare the relationships between serum METRNβ levels and cytokines/chemokines, laboratory parameters, and disease severity. Receiver operating characteristic (ROC) curves and Kaplan-Meier survival curves were used to evaluate the predictive value of METRNβ in COVID-19.

Results: The serum level of METRNβ was highly elevated in non-Omicron-SARS-CoV-2 infected patients compared to healthy individuals, and the non-survivor displayed higher METRNβ levels than survivors among the critical ones. METRNβ concentration showed positive correlation with viral load in NAPS. ROC curve showed that a baseline METRNβ level of 1886.89 pg/ml distinguished COVID-19 patients from non-infected individuals with an AUC of 0.830. Longitudinal analysis of cytokine/chemokine profiles revealed a positive correlation between METRNβ and pro-inflammatory cytokines such as IL6, and an inverse correlation with soluble CD40L (sCD40L). Higher METRNβ was associated with increased mortality. These findings were validated in a second and third cohort of COVID-19 patients identified in a subsequent wave.

Discussion: Our study uncovered the precise role of METRNβ in predicting the severity of COVID-19, thus providing a scientific basis for further evaluation of the role of METRNβ in triage therapeutic strategies.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Frontiers in immunology - 14(2023) vom: 13., Seite 1111920

Sprache:

Englisch

Beteiligte Personen:

Gao, Xun [VerfasserIn]
Chan, Paul Kay-Sheung [VerfasserIn]
Wong, Katie Ching-Yau [VerfasserIn]
Ng, Rita Wai-Yin [VerfasserIn]
Yeung, Apple Chung-Man [VerfasserIn]
Lui, Grace Chung-Yan [VerfasserIn]
Ling, Lowell [VerfasserIn]
Hui, David Shu-Cheong [VerfasserIn]
Huang, Danqi [VerfasserIn]
Wong, Chun-Kwok [VerfasserIn]

Links:

Volltext

Themen:

Biomarker
Biomarkers
COVID-19
Chemokines
Cytokines
Journal Article
METRNβ
Prognostic
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 22.02.2023

Date Revised 27.03.2023

published: Electronic-eCollection

Citation Status MEDLINE

doi:

10.3389/fimmu.2023.1111920

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353045934