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Characterization model of the post COVID-19 condition based on immunological, biochemical, and cytokine markers

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dc.contributor.authorOliván-Blázquez, Bárbara
dc.contributor.authorBona-Otal, Marta
dc.contributor.authorMéndez-López, Fátima
dc.contributor.authorLerma-Irureta, David
dc.contributor.authorGarcía-Izuel, Paula
dc.contributor.authorIbáñez-Ruiz, Jesús
dc.contributor.authorMontolío, Alberto
dc.contributor.authorRuiz-Herreros, María
dc.contributor.authorGodino, Javier
dc.contributor.authorJimeno-Beltran, Beatriz
dc.contributor.authorEncabo-Berzosa, María Del Mar
dc.contributor.authorArenaz, Izaskun
dc.contributor.authorMedel-Martínez, Ana
dc.contributor.authorCasado-Vicente, Verónica
dc.contributor.authorCoiras, Mayte
dc.contributor.authorTellería-Orriols, Carlos
dc.contributor.authorSchoorlemmer, Jon
dc.contributor.authorMagallón-Botaya, Rosa
dc.contributor.funderInstituto de Salud Carlos III
dc.contributor.funderUnión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
dc.contributor.funderUnión Europea. Comisión Europea. Horizonte Europa
dc.contributor.funderGobierno de Aragón (España)
dc.contributor.funderInstituto de Investigación Sanitaria Aragón
dc.contributor.funderInstituto Aragonés de Ciencias de la Salud
dc.date.accessioned2025-01-07T13:32:54Z
dc.date.available2025-01-07T13:32:54Z
dc.date.issued2024-09-20
dc.descriptionThis study was registered with ISRCTN Registry during recruitment (ISRCTN27312680).
dc.description.abstractPost-coronavirus disease condition (PCC) continues to affect many people globally, yet there remains a lack of diagnostic biomarkers to distinguish PCC from those recovered from acute COVID-19. This study compared biomarkers between two age- and gender-matched groups: PCC individuals and those recovered within three months of acute COVID-19 in 2020 ( = 85 each). Biomarkers were assessed 12-24 months after initial diagnosis, examining biochemical profiles, blood cell counts, coagulation status, antibody serology, lymphocyte populations, and cytokine levels. PCC individuals exhibited significant alterations in 49 of 167 markers, including K+ levels, αGAD antibodies, antithrombin III, insulin-like growth factor-binding protein 3 (IGFBP3), and interleukin-10 (IL-10). A panel of αGAD, IL-10, potassium levels, and CD16CD56 cell presence distinguished PCC individuals from recovered patients with >88% accuracy and <92% precision.
dc.description.peerreviewedSí
dc.description.sponsorshipThis study has been funded by Carlos III Health Institute (ISCIII), grant numbers PI22/01070, the Aragonese Primary Care Research Group (GAIAP, B21_23R), and ERDF Funds A way of making Europe and co-financed by the European Union. The work described in this manuscript received funding from the European Union Horizon Europe research and innovation program under the grant agreement No 101057302 (HERVCOV). Funders had no role in the study design, data collection and analysis, decision to publish, or manuscript preparation. The research will be audited once a year by the funding organization. We would like to give special thanks to the project PI17/02208 funded by Health Institute Carlos III (ISCIII) and COVID funds provided by IISA, both of which have contributed funding for the realization of this article. J.S. and D.L.-I. were supported by the HERVCOV project, funded by the HORIZON HLTH-2021-DISEASE project (Personalized medicine and infectious disease: understanding the individual host response to virus) of the European Commission under the Horizon Europe Framework Program (G.A.101057302). We would like to thank the Aragonese Primary Care Research Group (GAIAP, B21_23R) and the Placental pathophysiology and fetal programming group (B46_20R), both part of the Department of Innovation, Research and University at the Government of Aragón (Spain), the Research Network on Chronicity, Primary Care and Health Promotion (RICAPPS, RD21/0016/0005) that is part of the Results-Oriented Cooperative Research Networks in Health (RICORS) (Health Institute Carlos III), and the European Regional Development Fund (EDRF) A way of making Europe, for their support in the development of the study. In addition, we would like to thank other members of the Biocomputing Unit, IACS and the Biobank of the Aragon Health System (PT20/00112) integrated in the Platform ISCIII Biobanks and Biomodels, for their continued support and interest. We thank Julian Pardo for his suggestions regarding marker selection, Mark Strunk for additional data management, and Antonella Minutolo and Claudia Matteucci for sharing a template for the graphical abstract. We particularly want to acknowledge all the participants for their collaboration in this study. We also thank the Long Covid Aragon Patients Association for their contributions and collaboration in carrying out the study.
dc.format.number9
dc.format.page110839
dc.format.volume27
dc.identifier.citationOliván-Blázquez B, Bona-Otal M, Méndez-López F, Lerma-Irureta D, García-Izuel P, Ibáñez-Ruiz J, Montolío A, Ruiz-Herreros M, Godino J, Jimeno-Beltran B, Encabo-Berzosa MDM, Arenaz I, Medel-Martínez A, Casado-Vicente V, Coiras M, Tellería-Orriols C, Schoorlemmer J, Magallón-Botaya R. Characterization model of the post COVID-19 condition based on immunological, biochemical, and cytokine markers. iScience. 2024 Aug 30;27(9):110839.
dc.identifier.doi10.1016/j.isci.2024.110839
dc.identifier.e-issn2589-0042
dc.identifier.journaliScience
dc.identifier.pubmedID39318534
dc.identifier.urihttps://hdl.handle.net/20.500.12105/25944
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PI22%2F01070/ES/Análisis de factores diferenciales asociados a la presencia de sintomatología persistente en personas con diagnóstico de covid 19: Estudios de Casos-control/
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/101057302
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI17%2F02208/ES/INFLAMACION Y ANGIOGENESIS EN LA PREMATURIDAD: EL IMPACTO DE LA AMENAZA DE PARTO PRETERMINO/
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/RD21/0016/0005
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PT20/00112
dc.relation.publisherversionhttps://doi.org/10.1016/j.isci.2024.110839
dc.repisalud.centroISCIII::Centro Nacional de Microbiología (CNM)
dc.repisalud.institucionISCIII
dc.repisalud.instituteIIS::IIS Aragón - Instituto de Investigación Sanitaria Aragón (Aragón)
dc.rights.accessRightsopen access
dc.rights.licenseAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBiochemistry
dc.subjectImmunology
dc.subjectVirology
dc.titleCharacterization model of the post COVID-19 condition based on immunological, biochemical, and cytokine markers
dc.typeresearch article
dc.type.hasVersionVoR
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