Salivary biomarkers as pioneering indicators for diagnosis and severity stratification of pediatric long COVID
Tyrkalska, Sylwia D. (Universidad de Murcia)
Pérez-Sanz, Fernando (Instituto Murciano de Investigación Biosanitaria)
Franco-Martinez, Lorena (Universidad de Murcia)
Rubio, Camila P. (Universidad de Murcia)
Tvarijonaviciute, Asta (Universidad de Murcia)
Martínez-Subiela, Silvia (Universidad de Murcia)
Méndez-Hernández, María (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública)
Gonzalez-Aumatell, Alba (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública)
Carreras-Abad, Clara (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública)
Domènech Marsal, Èlia (Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública)
Cerón, José J. (Universidad de Murcia)
Cayuela, María Luisa (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia))
Mulero, Victoriano (Centro de Investigación Biomédica en Red de Enfermedades Raras)
Candel, Sergio (Centro de Investigación Biomédica en Red de Enfermedades Raras)

Data:	2024
Resum:	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. This disease is especially worrying in children since it can seriously alter their development. 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. We measured the levels of 13 biomarkers in 105 saliva samples (49 from children with long COVID and 56 controls), and the Pearson correlation coefficient was used to analyse the correlations between the levels of the different salivary biomarkers. Multivariate logistic regression analyses were performed to determine which of the 13 analysed salivary biomarkers were useful to discriminate between children with long COVID and controls, as well as between children with mild and severe long COVID symptoms. Pediatric long COVID exhibited increased oxidant biomarkers and 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 unravelling the prognostic value of these biomarkers in predicting the trajectory of long COVID in affected individuals.
Ajuts:	Ministerio de Ciencia e Innovación YC2021-034764-I
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Pediatric long COVID ; Salivary biomarkers ; Predictive models ; Bioinformatics ; SARS-CoV-2
Publicat a:	Frontiers in cellular and infection microbiology, Vol. 14 (may 2024) , ISSN 2235-2988

DOI: 10.3389/fcimb.2024.1396263
PMID: 38881733

14 p, 2.3 MB

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