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May 15, 2026International Journal of Infectious Diseases0 citationsOpen Access

Increased circulating ACE2 and GAS6 are independent predictors of COVID-19 severity

IMIrene Martínez-DíazSNSara Núñez-DelgadoJOJose T. Ortiz‐Pérez

Key Points

  • This study aims to investigate the relationship between circulating ACE2, AXL, and GAS6 levels and the severity of COVID-19 at initial emergency room attendance.
  • Collected serum samples from two cohorts (n=1,652 and n=468) diagnosed with COVID-19 during 2020-2021
  • Measured ACE2 activity using an enzymatic assay and analyzed sAXL and GAS6 levels by ELISA
  • Utilized a multivariate Cox model to predict COVID-19 severity based on collected data.
  • Increased circulating ACE2 and GAS6 levels were significantly associated with severe COVID-19 outcomes.
  • Both biomarkers were identified as independent predictors of COVID-19 severity in the Cox model.
  • The model showed a sensitivity of 82.1% and specificity of 65.8%, with an AUC of 0.81 in the primary cohort.

Abstract

ObjectivesACE2 and AXL are the main cell entry receptors for SARS-COV-2.Both receptors can be cleaved by the action of specific metalloproteases.Our study aims to evaluate the association between circulating ACE2, AXL and its ligand GAS6 with COVID-19 severity at first attendance to the emergency room. MethodsWe collected serum samples from two large cohorts of patients (study n=1,652, and external validation, n=468) who were diagnosed of COVID-19 during 2020-2021.Data from all included patients were used to classify the patients' COVID-19 disease severity, defined as death or admission to intensive care unit.We measured ACE2 activity by an enzymatic assay and levels of sAXL and GAS6 by ELISA and we built a multivariate Cox model to predict COVID-19 severity. ResultsCirculating ACE2 activity and GAS6 levels were significantly increased in severe COVID-19.Moreover, both biomarkers were independently associated with COVID-19 severity in a multivariate Cox proportional hazards model.Our model showed high capacity to predict COVID-19 severity (best sensitivity-specificity relation of 82.1%-65.8%and AUC of 0.81) which was validated in the external cohort (best sensitivity-specificity relation of 90.9% -51.7% and AUC of 0.76). ConclusionIncreased levels ofACE2 and GAS6 at admission are independently associated with COVID-19 severity supporting its value as early biomarkers to predict worse disease outcome.

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Cite This Study

Martínez-Díaz et al. (2026) studied this question.

synapsesocial.com/papers/6a06b74ce7dec685947aa4adhttps://doi.org/10.1016/j.ijid.2026.108775
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