Evidence map›Paper›PMID 36112333›Full record

ArticleGeroScience2022

The majority of severe COVID-19 patients develop anti-cardiac autoantibodies.

Miklós Fagyas, Béla Nagy, Arnold Péter Ráduly, Ivetta Siket Mányiné, Lilla Mártha, Gábor Erdősi, Sándor Sipka, Enikő Enyedi, Attila Ádám Szabó, Zsófia Pólik and 9 more

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 25 citations in OpenAlex.

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  20. Autoimmunity in Long Covid and POTS.Oxford open immunology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 1 institution in 1 country.

Miklós Fagyas *Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Béla Nagy *Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Arnold Péter RádulyDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Ivetta Siket MányinéDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Lilla MárthaDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Gábor ErdősiDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Sándor SipkaDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Enikő EnyediDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Attila Ádám SzabóDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zsófia PólikDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
János KappelmayerDepartment of Laboratory Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Zoltán PappDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Attila BorbélyDivision of Cardiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Tamás SzabóDepartment of Pediatrics, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
József BallaHAS-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
György BallaHAS-UD Vascular Biology and Myocardial Pathophysiology Research Group, Hungarian Academy of Sciences, Budapest, Hungary.
Péter Bai *Research Center for Molecular Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Attila Bácsi *ELKH-DE Allergology Research Group, Debrecen, Hungary.
Attila Tóth *Division of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary. atitoth@med.unideb.hu.ORCID 0000-0001-6503-3653
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe cases of COVID-19 are characterized by an inflammatory burst, which is accompanied by multiorgan failure. The elderly population has higher risk for severe or fatal outcome for COVID-19. Inflammatory mediators facilitate the immune system to combat viral infection by producing antibodies against viral antigens. Several studies reported that the pro-inflammatory state and tissue damage in COVID-19 also promotes autoimmunity by autoantibody generation. We hypothesized that a subset of these autoantibodies targets cardiac antigens. Here we aimed to detect anti-cardiac autoantibodies in severe COVID-19 patients during hospitalization. For this purpose, 104 COVID-19 patients were recruited, while 40 heart failure patients with dilated cardiomyopathy and 20 patients with severe aortic stenosis served as controls. Patients were tested for anti-cardiac autoantibodies, using human heart homogenate as a bait. Follow-up samples were available in 29 COVID-19 patients. Anti-cardiac autoantibodies were detected in 68% (71 out of 104) of severe COVID-19 patients. Overall, 39% of COVID-19 patients had anti-cardiac IgG autoantibodies, while 51% had anti-cardiac autoantibodies of IgM isotype. Both IgG and IgM anti-cardiac autoantibodies were observed in 22% of cases, and multiple cardiac antigens were targeted in 38% of COVID-19 patients. These anti-cardiac autoantibodies targeted a diverse set of myocardial proteins, without apparent selectivity. As controls, heart failure patients (with dilated cardiomyopathy) had similar occurrence of IgG (45%, p = 0.57) autoantibodies, while significantly lower occurrence of IgM autoantibodies (30%, p = 0.03). Patients with advanced aortic stenosis had significantly lower number of both IgG (11%, p = 0.03) and IgM (10%, p < 0.01) type anti-cardiac autoantibodies than that in COVID-19 patients. Furthermore, we detected changes in the anti-cardiac autoantibody profile in 7 COVID-19 patients during hospital treatment. Surprisingly, the presence of these anti-cardiac autoantibodies did not affect the clinical outcome and the prevalence of the autoantibodies did not differ between the elderly (over 65 years) and the patients younger than 65 years of age. Our results demonstrate that the majority of hospitalized COVID-19 patients produce novel anti-cardiac IgM autoantibodies. COVID-19 also reactivates resident IgG autoantibodies. These autoantibodies may promote autoimmune reactions, which can complicate post-COVID recuperation, contributing to post-acute sequelae of COVID-19 (long COVID).

Indexed as

Aortic Valve StenosisCardiomyopathy, DilatedCOVID-19Heart FailureAgedAutoantibodiesHumansImmunoglobulin GImmunoglobulin MPost-Acute COVID-19 SyndromeAutoantibodiesImmunoglobulin GImmunoglobulin MAnti-cardiac autoantibodiesCOVID-19SARS-CoV-2

Identifiers

PMID36112333
PMCPMC9483490
OpenAlexW4296029822

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.