2026-05-21T23:05:23Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/148692025-04-30T12:44:36Zcom_20.500.12105_2052com_20.500.12105_2051col_20.500.12105_19609

00925njm 22002777a 4500 dc Galán Burgos, Miguel author Vigon-Hernandez, Lorena author Fuertes, Daniel author Murciano-Antón, María Aranzazu author Casado-Fernández, Guiomar author Domínguez-Mateos, Susana author Mateos, Elena author Ramos-Martín, Fernando author Planelles, Vicente author Torres, Montserrat author Rodriguez Mora, Sara author Lopez-Huertas, Maria Rosa author Coiras, Mayte author Multidisciplinary Group of Study of COVID-19 (MGS-COVID) author 2022-03-25 Long-COVID is a new emerging syndrome worldwide that is characterized by the persistence of unresolved signs and symptoms of COVID-19 more than 4 weeks after the infection and even after more than 12 weeks. The underlying mechanisms for Long-COVID are still undefined, but a sustained inflammatory response caused by the persistence of SARS-CoV-2 in organ and tissue sanctuaries or resemblance with an autoimmune disease are within the most considered hypotheses. In this study, we analyzed the usefulness of several demographic, clinical, and immunological parameters as diagnostic biomarkers of Long-COVID in one cohort of Spanish individuals who presented signs and symptoms of this syndrome after 49 weeks post-infection, in comparison with individuals who recovered completely in the first 12 weeks after the infection. We determined that individuals with Long-COVID showed significantly increased levels of functional memory cells with high antiviral cytotoxic activity such as CD8+ TEMRA cells, CD8±TCRγδ+ cells, and NK cells with CD56+CD57+NKG2C+ phenotype. The persistence of these long-lasting cytotoxic populations was supported by enhanced levels of CD4+ Tregs and the expression of the exhaustion marker PD-1 on the surface of CD3+ T lymphocytes. With the use of these immune parameters and significant clinical features such as lethargy, pleuritic chest pain, and dermatological injuries, as well as demographic factors such as female gender and O+ blood type, a Random Forest algorithm predicted the assignment of the participants in the Long-COVID group with 100% accuracy. The definition of the most accurate diagnostic biomarkers could be helpful to detect the development of Long-COVID and to improve the clinical management of these patients. Front Immunol. 2022 Mar 25;13:848886. 10.3389/fimmu.2022.848886 1664-3224 Frontiers in Immunology 35401523 http://hdl.handle.net/20.500.12105/14869 CD8+ T cells Long-COVID NK cells Random Forest algorithm Cytotoxic immune response Immune exhaustion Persistent Overactive Cytotoxic Immune Response in a Spanish Cohort of Individuals With Long-COVID: Identification of Diagnostic Biomarkers