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Severe COVID-19 patients exhibit elevated levels of autoantibodies targeting cardiolipin and platelet glycoprotein with age: a systems biology approach.
Fonseca, Dennyson Leandro M; Filgueiras, Igor Salerno; Marques, Alexandre H C; Vojdani, Elroy; Halpert, Gilad; Ostrinski, Yuri; Baiocchi, Gabriela Crispim; Plaça, Desirée Rodrigues; Freire, Paula P; Pour, Shahab Zaki; Moll, Guido; Catar, Rusan; Lavi, Yael Bublil; Silverberg, Jonathan I; Zimmerman, Jason; Cabral-Miranda, Gustavo; Carvalho, Robson F; Khan, Taj Ali; Heidecke, Harald; Dalmolin, Rodrigo J S; Luchessi, Andre Ducati; Ochs, Hans D; Schimke, Lena F; Amital, Howard; Riemekasten, Gabriela; Zyskind, Israel; Rosenberg, Avi Z; Vojdani, Aristo; Shoenfeld, Yehuda; Cabral-Marques, Otavio.
Afiliación
  • Fonseca DLM; Interunit Postgraduate Program on Bioinformatics, Institute of Mathematics and Statistics (IME), University of Sao Paulo (USP), Sao Paulo, SP, Brazil. dennyson@usp.br.
  • Filgueiras IS; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Marques AHC; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Vojdani E; Regenera Medical 11860 Wilshire Blvd., Ste. 301, Los Angeles, CA, 90025, USA.
  • Halpert G; Ariel University, Ari'el, Israel.
  • Ostrinski Y; Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.
  • Baiocchi GC; Saint Petersburg State University Russia, Saint Petersburg, Russia.
  • Plaça DR; Ariel University, Ari'el, Israel.
  • Freire PP; Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.
  • Pour SZ; Saint Petersburg State University Russia, Saint Petersburg, Russia.
  • Moll G; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Catar R; Department of Clinical and Toxicological Analyses, School of Pharmaceutical Sciences, University of São Paulo, São Paulo, Brazil.
  • Lavi YB; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Silverberg JI; Laboratory of Molecular Evolution and Bioinformatics, Department of Microbiology, Biomedical Sciences Institute, University of São Paulo, São Paulo, 05508-000, Brazil.
  • Zimmerman J; Departament of Nephrology and Internal Intensive Care Medicine, Charité University Hospital, Berlin, Germany.
  • Cabral-Miranda G; Departament of Nephrology and Internal Intensive Care Medicine, Charité University Hospital, Berlin, Germany.
  • Carvalho RF; Scakler faculty of medicine, Tel Aviv University, Tel Aviv, Israel.
  • Khan TA; Department of Dermatology, George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Heidecke H; Maimonides Medical Center, Brooklyn, NY, USA.
  • Dalmolin RJS; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Luchessi AD; Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
  • Ochs HD; Institute of Pathology and Diagnostic Medicine, Khyber Medical University, Peshawar, Pakistan.
  • Schimke LF; CellTrend Gesellschaft mit beschränkter Haftung (GmbH), Luckenwalde, Germany.
  • Amital H; Bioinformatics Multidisciplinary Environment, Federal University of Rio Grande do Norte, Natal, Brazil.
  • Riemekasten G; Department of Biochemistry, Federal University of Rio Grande do Norte, Natal, Brazil.
  • Zyskind I; Department of Clinical and Toxicological Analyses, Federal University of Rio Grande do Norte, R.N., Natal, Brazil.
  • Rosenberg AZ; Department of Pediatrics, University of Washington School of Medicine, and Seattle Children's Research Institute, Seattle, WA, USA.
  • Vojdani A; Department of Immunology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.
  • Shoenfeld Y; Ariel University, Ari'el, Israel.
  • Cabral-Marques O; Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Israel.
NPJ Aging ; 9(1): 21, 2023 Aug 24.
Article en En | MEDLINE | ID: mdl-37620330
ABSTRACT
Age is a significant risk factor for the coronavirus disease 2019 (COVID-19) severity due to immunosenescence and certain age-dependent medical conditions (e.g., obesity, cardiovascular disorder, and chronic respiratory disease). However, despite the well-known influence of age on autoantibody biology in health and disease, its impact on the risk of developing severe COVID-19 remains poorly explored. Here, we performed a cross-sectional study of autoantibodies directed against 58 targets associated with autoimmune diseases in 159 individuals with different COVID-19 severity (71 mild, 61 moderate, and 27 with severe symptoms) and 73 healthy controls. We found that the natural production of autoantibodies increases with age and is exacerbated by SARS-CoV-2 infection, mostly in severe COVID-19 patients. Multiple linear regression analysis showed that severe COVID-19 patients have a significant age-associated increase of autoantibody levels against 16 targets (e.g., amyloid ß peptide, ß catenin, cardiolipin, claudin, enteric nerve, fibulin, insulin receptor a, and platelet glycoprotein). Principal component analysis with spectrum decomposition and hierarchical clustering analysis based on these autoantibodies indicated an age-dependent stratification of severe COVID-19 patients. Random forest analysis ranked autoantibodies targeting cardiolipin, claudin, and platelet glycoprotein as the three most crucial autoantibodies for the stratification of severe COVID-19 patients ≥50 years of age. Follow-up analysis using binomial logistic regression found that anti-cardiolipin and anti-platelet glycoprotein autoantibodies significantly increased the likelihood of developing a severe COVID-19 phenotype with aging. These findings provide key insights to explain why aging increases the chance of developing more severe COVID-19 phenotypes.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: NPJ Aging Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: NPJ Aging Año: 2023 Tipo del documento: Article País de afiliación: Brasil
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