The Activin/Follistatin Axis Is Severely Deregulated in COVID-19 and Independently Associated With In-Hospital Mortality
Author(s) -
Evgenia Synolaki,
Vasileios Papadopoulos,
Georgios Divolis,
Olga Tsahouridou,
Efstratios Gavriilidis,
Georgia Loli,
Ariana Gavriil,
Christina Tsigalou,
Nikolaos Tziolos,
Eleni Sertaridou,
Bhanu Kalra,
Ajay Kumar,
Petros I. Rafailidis,
Arja Pasternack,
Dimitrios T. Boumpas,
Georgios Germanidis,
Olli Ritvos,
Symeon Metallidis,
Panagiotis Skendros,
Paschalis Sideras
Publication year - 2021
Publication title -
the journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.69
H-Index - 252
eISSN - 1537-6613
pISSN - 0022-1899
DOI - 10.1093/infdis/jiab108
Subject(s) - follistatin , pathophysiology , medicine , covid-19 , acvr2b , intensive care unit , disease , endocrinology , transforming growth factor , tgf beta signaling pathway , infectious disease (medical specialty)
Background Activins are members of the transforming growth factor-β superfamily implicated in the pathogenesis of several immunoinflammatory disorders. Based on our previous studies demonstrating that overexpression of activin-A in murine lung causes pathology sharing key features of coronavirus disease 2019 (COVID-19), we hypothesized that activins and their natural inhibitor follistatin might be particularly relevant to COVID-19 pathophysiology. Methods Activin-A, activin-B, and follistatin were retrospectively analyzed in 574 serum samples from 263 COVID-19 patients hospitalized in 3 independent centers, and compared with demographic, clinical, and laboratory parameters. Optimal scaling with ridge regression was used to screen variables and establish a prediction model. Result The activin/follistatin axis was significantly deregulated during the course of COVID-19, correlated with severity and independently associated with mortality. FACT-CLINYCoD, a scoring system incorporating follistatin, activin-A, activin-B, C-reactive protein, lactate dehydrogenase, intensive care unit admission, neutrophil/lymphocyte ratio, age, comorbidities, and D-dimers, efficiently predicted fatal outcome (area under the curve [AUC], 0.951; 95% confidence interval, .919−.983; P <10−6). Two validation cohorts indicated similar AUC values. Conclusions This study demonstrates a link between activin/follistatin axis and COVID-19 mortality and introduces FACT-CLINYCoD, a novel pathophysiology-based tool that allows dynamic prediction of disease outcome, supporting clinical decision making.
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