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ACE2 Serum Levels as Predictor of Infectability and Outcome in COVID-19

Authors :
María del Carmen Maza
María Úbeda
Pilar Delgado
Lydia Horndler
Miguel A. Llamas
Hisse M. van Santen
Balbino Alarcón
David Abia
Laura García-Bermejo
Sergio Serrano-Villar
Ugo Bastolla
Manuel Fresno
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
European Commission
Comunidad de Madrid
Consejo Superior de Investigaciones Científicas (España)
Conferencia de Rectores de las Universidades Españolas
Fundación Ramón Areces
Banco Santander
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2021

Abstract

Background: COVID‐19 can generate a broad spectrum of severity and symptoms. Many studies analysed the determinants of severity but not among some types of symptoms. More importantly, very few studies analysed patients highly exposed to the virus that nonetheless remain uninfected. Methods: We analysed serum levels of ACE2, Angiotensin II and anti-Spike antibodies in 2 different cohorts at high risk of viral exposure, highly exposed but uninfected subjects, either high risk health care workers or persons cohabiting with infected close relatives and seropositive patients with symptoms. We tested the ability of the sera of these subjects to neutralize lentivirus pseudotyped with the Spike-protein. Results: We found that the serum levels of ACE2 are significantly higher in highly exposed but uninfected subjects. Moreover, sera from this seronegative persons can neutralize SARS-CoV-2 infection in cellular assays more strongly that sera from non-exposed negative controls eventhough they do not have anti-CoV-2 IgG antibodies suggesting that high levels of ACE2 in serum may somewhat protect against an active infection without generating a conventional antibody response. Finally, we show that among patients with symptoms, ACE2 levels were significantly higher in infected patients who developed cutaneous as compared with respiratory symptoms and ACE2 was also higher in those with milder symptoms. Conclusions: These findings suggest that soluble ACE2 could be used as a potential biomarker to predict SARS-CoV-2 infection risk and to discriminate COVID-19 disease subtypes.<br />This research was funded by grants from “Ministerio de Ciencia e Innovación” (SAF2013-42850-R, SAF2016-75988-R and PID-2019104760RB-100; FEDER), “Comunidad de Madrid (S2017/BMD-3671. INFLAMUNE-CM; FEDER) to MF, Consejo Superior de Investigaciones Científica, CSIC (CSIC-COV19-108, SGL210235) to MF and UB, CRUE-Supera COVID, the European Development Regional Fund ‘‘A way to achieve Europe’’ (ERDF), Merck, Sharp & Dohme Investigator Studies Program (code MISP# IIS 60257), and Fondo Supera COVID-19 (2020-001) to SS-V. Institutional grants from “Fundación Ramón Areces” and “Banco de Santander”. This research work was also funded by the European Commission – NextGenerationEU (Regulation EU 2020/2094), through CSIC's Global Health Platform (PTI Salud Global).

Details

ISSN :
16643224
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in immunology
Accession number :
edsair.doi.dedup.....9279b6f78a3148060998663fcc99c05d