145252 20260217205527.0 doi 10.1016/j.isci.2024.110839 sideral 140025 ART-2024-140025 eng Oliván-Blázquez, Bárbara Universidad de Zaragoza (orcid)0000-0001-6565-9699 Characterization model of the post COVID-19 condition based on immunological, biochemical, and cytokine markers 2024 Access copy available to the general public Unrestricted Post-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 (n = 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 CD16brightCD56− cell presence distinguished PCC individuals from recovered patients with >88% accuracy and <92% precision. info:eu-repo/grantAgreement/ES/DGA/B21-23R-GAIAP info:eu-repo/grantAgreement/ES/DGA/B46-20R info:eu-repo/grantAgreement/EC/H2020/101057302 /EU/SARS-CoV-2-induced activation of pathogenic endogenous retrovirus envelope HERV-W: towards personalized treatment of COVID-19 patients/HERVCOV This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101057302 -HERVCOV info:eu-repo/grantAgreement/ES/IACS/PT20-00112 info:eu-repo/grantAgreement/ES/ISCIII-FIS/PI17-02208 info:eu-repo/grantAgreement/ES/ISCIII/PI22-01070 info:eu-repo/grantAgreement/ES/ISCIII-RICAPPS/RD21-0016-0005 info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es 4.1 2024 MULTIDISCIPLINARY SCIENCES 22 / 136 = 0.162 2024 Q1 T1 1.363 2024 Multidisciplinary 2024 Q1 6.9 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Bona-Otal, Marta Méndez-López, Fátima Universidad de Zaragoza (orcid)0000-0002-6409-9041 Lerma-Irureta, David (orcid)0000-0002-0660-218X García-Izuel, Paula Ibáñez-Ruiz, Jesús Montolío, Alberto (orcid)0000-0001-7248-4399 Ruiz-Herreros, María Godino, Javier Jimeno-Beltran, Beatriz Encabo-Berzosa, María del Mar (orcid)0000-0003-4891-105X Arenaz, Izaskun Medel-Martínez, Ana Casado-Vicente, Verónica Coiras, Mayte Tellería-Orriols, Carlos Universidad de Zaragoza (orcid)0000-0002-6394-3212 Schoorlemmer, Jon Magallón-Botaya, Rosa Universidad de Zaragoza (orcid)0000-0002-5494-6550 1006 255 Universidad de Zaragoza Dpto. Fisiatría y Enfermería Área Enfermería 4009 740 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicología Social 1007 610 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Medicina 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 27, 9 (2024), 110839 [16 pp.] iScience ISCIENCE 2589-0042 3596569 http://zaguan.unizar.es/record/145252/files/texto_completo.pdf Versión publicada 1084401 http://zaguan.unizar.es/record/145252/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:145252 articulos driver 2026-02-17-20:31:07 ARTICLE