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Distinct subsets of anti-pulmonary autoantibodies correlate with disease severity and survival in severe COVID-19 patients.
Tóth, Emese; Fagyas, Miklós; Nagy, Béla; Siket, Ivetta Mányiné; Szoke, Blanka; Mártha, Lilla; Mahdi, Mohamed; Erdosi, Gábor; Pólik, Zsófia; Kappelmayer, János; Papp, Zoltán; Borbély, Attila; Szabó, Tamás; Balla, József; Balla, György; Bácsi, Attila; Szekanecz, Zoltán; Bai, Péter; Tóth, Attila.
Afiliação
  • Tóth E; Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032, Debrecen, Hungary.
  • Fagyas M; Center of Excellence, The Hungarian Academy of Sciences, Budapest, Hungary.
  • Nagy B; Division of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Siket IM; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Szoke B; Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Mártha L; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Mahdi M; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Erdosi G; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Pólik Z; Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Kappelmayer J; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Papp Z; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Borbély A; Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Szabó T; Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Balla J; ELKH-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
  • Balla G; Research Center for Molecular Medicine, Faculty of Medicine, University of Debrecen, 4032, Debrecen, Hungary.
  • Bácsi A; Division of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Szekanecz Z; Department of Pediatrics, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
  • Bai P; ELKH-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
  • Tóth A; Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Geroscience ; 46(2): 1561-1574, 2024 Apr.
Article em En | MEDLINE | ID: mdl-37656328
ABSTRACT
Autoantibodies targeting the lung tissue were identified in severe COVID-19 patients in this retrospective study. Fifty-three percent of 104 patients developed anti-pulmonary antibodies, the majority of which were IgM class, suggesting that they developed upon infection with SARS-CoV-2. Anti-pulmonary antibodies correlated with worse pulmonary function and a higher risk of multiorgan failure that was further aggravated if 3 or more autoantibody clones were simultaneously present (multi-producers). Multi-producer patients were older than the patients with less or no autoantibodies. One of the identified autoantibodies (targeting a pulmonary protein of ~ 50 kDa) associated with worse clinical outcomes, including mortality. In summary, severe COVID-19 is associated with the development of lung-specific autoantibodies, which may worsen the clinical outcome. Tissue proteome-wide tests, such as the ones applied here, can be used to detect autoimmunity in the post-COVID state to identify the cause of symptoms and to reveal a new target for treatment.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoanticorpos / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoanticorpos / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article