Reverté, Laia, Yeregui, Elena, Olona, Montserrat, Gutiérrez Valencia, Alicia, Buzón, María José, Martí, Anna, Gómez-Bertomeu, Frederic, Auguet, Teresa, López-Cortés, Luis F., Burgos, Joaquín, Benavent-Bofill, Clara, Boqué, Carme, García-Pardo, Graciano, Ruiz-Mateos, Ezequiel, Mestre, María Teresa, Vidal, Francesc, Viladés, Consuelo, Peraire, Joaquim, Rull, Anna, COVIDOMICS Study Group, Generalitat de Catalunya, Instituto de Salud Carlos III, European Commission, Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (España), Junta de Andalucía, Consejo Superior de Investigaciones Científicas (España), and Ajuntament de Perafort
The mechanistic pathways leading to immune dysregulation and complications driven by uncontrolled severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection remain major challenges.1, 2 Hence, a detailed analysis of the proteome, metabolome and lipidome profile of coronavirus disease 2019 (COVID-19) patients showing different severity grades might shed light on the disease pathophysiology and unveil new predictive biomarkers to promptly ascertain patient's outcomes. Our COVID-19 study cohort included 273 SARS-CoV-2 infected individuals recruited during the first wave (March–April 2020) in three different hospitals and grouped by the disease severity following the medical inclusion criteria3 in mild, severe or critical (Figure 1A), from whom demographic, preexisting clinical conditions and COVID-19 treatments are summarized in Table S1. The greatest significant differences were observed between mild and critically ill patients. These findings indicated that older individuals with comorbidities such as hypertension, obesity, diabetes and cardiovascular disorders, mostly presenting dyspnea (Figure 1B), may be at higher risk of suffering from severe respiratory distress with subsequent oxygen and drug requirements and, eventually, died. Similarly, the serum biochemical composition analysis revealed a well-differentiated blood pattern previously defined for critically ill patients (Figure S1)., This work has been developed in the framework of the COVIDOMICS’ project supported by Direcció General de Recerca i Innovació en Salut (DGRIS), Departament de Salut, Generalitat de Catalunya (PoC-6-17 and PoC1-5). The research has also been funded by the Programa de Suport als Grups de Recerca AGAUR (2017SGR948), the SPANISH AIDS Research Network [RD16/0025/0006, RD16/0025/0007 and RD16/0025/0020]-ISCIII-FEDER (Spain), the Centro de Investigación Biomédica en Red de Enfermedades Infecciosas-ISCIII [CB21/13/00020], Madrid, Spain and Consejeria de Transformacion Economica, Industria, Conocimiento y Universidades Junta de Andalucía (research Project CV20-85418). Elena Yeregui was supported by the Instituto de Salud Carlos III (ISCIII) under grant agreement “FI20/00118″ through the programme “Contratos Predoctorales de Formación en Investigación en Salud”. Laia Revertéwas supported by the Instituto de Salud Carlos III (ISCIII) under grant agreement “CD20/00105″ through the programme “Contratos Sara Borrell”. Francesc Vidal was supported by grants from the Programa de Intensificación de Investigadores (INT20/00031)-ISCIII and by “Premi a la Trajectòria Investigadora dels Hospitals de l’ICS 2018″. Anna Rull was supported by a grant from IISPV through the project “2019/IISPV/05″ (Boosting Young Talent), by GeSIDA through the “III Premio para Jóvenes Investigadores 2019″ and by the Instituto de Salud Carlos III (ISCIII) under grant agreement “CP19/00146″ through the Miguel Servet Program. Maria José Buzón was supported by the Miguel Servet Program (CP17/00179). Ezequiel Ruiz- Mateos was supported by the Spanish Research Council (CSIC). Alicia Gutiérrez-Valencia was supported by the Instituto de Salud Carlos III, cofinanced by the European Development Regional Fund (“A way to achieve Europe”), Subprograma Miguel Servet (grant CP19/00159). This project was also funded by a donation from the city Council of Perafort (to Teresa Auguet).