A model including CD15, ACE2 and age efficiently predicts COVID-19 severity.

ABSTRACT: The COVID-19 pandemic presents a spectrum of clinical outcomes ranging from respiratory conditions to cardiovascular complications that challenge management and resource allocation. Identification of early predictive biomarkers that are easy to detect is a priority to optimize medical care and resources. ACE2 and TMPRSS2 have received special attention due to their role in viral infectivity but also due to their physiological anti-inflammatory activities. CD15 and CD45 are key proteins in the immune response also associated with SARS-CoV-2 response. This study focused on analyzing the expression of ACE2, TMPRSS2, CD15, and CD45 in a cohort of 216 patients (111 mild and 105 severe disease) to ascertain their potential as biomarkers for predicting disease severity. We aimed to assess the cor

SUBMITTER: Cuenca-Lopez S 

PROVIDER: S-EPMC12488875 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature