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

Cervia, Carlo; Zurbuchen, Yves; Taeschler, Patrick; Ballouz, Tala; Menges, Dominik; Hasler, Sara; Adamo, Sarah; Raeber, Miro E.; Bächli, Esther; Rudiger, Alain; Stüssi‐Helbling, Melina; Huber, Lars C; Nilsson, Jakob; Held, Ulrike; Puhan, Milo A.; Boyman, Onur

doi:10.1038/s41467-021-27797-1

articleNature CommunicationsJan 25, 2022GOLD OA

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

CCCarlo Cervia YZYves Zurbuchen PTPatrick Taeschler TBTala Ballouz DMDominik Menges

University of Zurich · University Hospital of Zurich · +3 more institutions

PubMed

Indexed incrossrefdoajpubmed

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…

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Topics & keywords

Topics

Keywords

Medicine
Coronavirus disease 2019 (COVID-19)
Cohort
Asthma
Prospective cohort study
Immunology
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Cohort study

UN Sustainable Development Goals

Good health and well-being

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