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Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome

Author

Listed:
  • Carlo Cervia

    (University of Zurich)

  • Yves Zurbuchen

    (University of Zurich)

  • Patrick Taeschler

    (University of Zurich)

  • Tala Ballouz

    (University of Zurich)

  • Dominik Menges

    (University of Zurich)

  • Sara Hasler

    (University of Zurich)

  • Sarah Adamo

    (University of Zurich)

  • Miro E. Raeber

    (University of Zurich)

  • Esther Bächli

    (Uster Hospital)

  • Alain Rudiger

    (Limmattal Hospital)

  • Melina Stüssi-Helbling

    (City Hospital Triemli Zurich)

  • Lars C. Huber

    (City Hospital Triemli Zurich)

  • Jakob Nilsson

    (University of Zurich)

  • Ulrike Held

    (University of Zurich)

  • Milo A. Puhan

    (University of Zurich)

  • Onur Boyman

    (University of Zurich
    University of Zurich)

Abstract

Following acute infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a significant proportion of individuals develop prolonged symptoms, a serious condition termed post-acute coronavirus disease 2019 (COVID-19) syndrome (PACS) or long COVID. Predictors of PACS are needed. In a prospective multicentric cohort study of 215 individuals, we study COVID-19 patients during primary infection and up to one year later, compared to healthy subjects. We discover an immunoglobulin (Ig) signature, based on total IgM and IgG3 levels, which – combined with age, history of asthma bronchiale, and five symptoms during primary infection – is able to predict the risk of PACS independently of timepoint of blood sampling. We validate the score in an independent cohort of 395 individuals with COVID-19. Our results highlight the benefit of measuring Igs for the early identification of patients at high risk for PACS, which facilitates the study of targeted treatment and pathomechanisms of PACS.

Suggested Citation

  • Carlo Cervia & Yves Zurbuchen & Patrick Taeschler & Tala Ballouz & Dominik Menges & Sara Hasler & Sarah Adamo & Miro E. Raeber & Esther Bächli & Alain Rudiger & Melina Stüssi-Helbling & Lars C. Huber , 2022. "Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27797-1
    DOI: 10.1038/s41467-021-27797-1
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    Cited by:

    1. B-A. Reme & J. Gjesvik & K. Magnusson, 2023. "Predictors of the post-COVID condition following mild SARS-CoV-2 infection," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Jakob Ankerhold & Sebastian Giese & Philipp Kolb & Andrea Maul-Pavicic & Reinhard E. Voll & Nathalie Göppert & Kevin Ciminski & Clemens Kreutz & Achim Lother & Ulrich Salzer & Wolfgang Bildl & Tim Wel, 2022. "Circulating multimeric immune complexes contribute to immunopathology in COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

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