Salivary Biomarkers as Pioneering Indicators for Diagnosis and Severity Stratification of Pediatric Long COVID Provisionally Accepted
- 1University of Murcia, Spain
- 2Murcia BioHealth Research Institute, University of Murcia, Spain
- 3Hospital Germans Trias i Pujol, Spain
Long COVID, or post-acute sequelae of SARS-CoV-2 infection (PASC), manifests as persistent and often debilitating symptoms enduring well beyond the initial COVID-19 infection.Presently, a specific diagnostic test or definitive biomarker set for confirming long COVID is lacking, relying instead on the protracted presence of symptoms post-acute infection. In this study, we examined 105 saliva samples (49 from children with long COVID and 56 controls), revealing significant alterations in salivary biomarkers. Pediatric long COVID exhibited increased oxidant biomarkers, decreased antioxidant, immune response, and stress-related biomarkers. Correlation analyses unveiled distinct patterns between biomarkers in long COVID and controls. Notably, a multivariate logistic regression pinpointed TOS, ADA2, total proteins, and AOPP as pivotal variables, culminating in a remarkably accurate predictive model distinguishing long COVID from controls. Furthermore, total proteins and ADA1 were instrumental in discerning between mild and severe long COVID symptoms. This research sheds light on the potential clinical utility of salivary biomarkers in diagnosing and categorizing the severity of pediatric long COVID. It also lays the groundwork for future investigations aimed at unraveling the prognostic value of these biomarkers in predicting the trajectory of long COVID in affected individuals.
Keywords: pediatric long COVID, salivary biomarkers, predictive models, bioinformatics, SARS-CoV-2
Received: 05 Mar 2024;
Accepted: 13 May 2024.
Copyright: © 2024 Tyrkalska, Pérez-Sanz, Franco Martínez, Rubio, Tvarijonaviciute, Martínez-Subiela, Méndez-Hernández, Gonzalez-Aumatell, Carreras-Abad, Domènech-Marçal, Ceron, Cayuela, Mulero and Candel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Sergio Candel, University of Murcia, Murcia, 30003, Murcia, Spain