Cell Reports MedicineImmunologyPeer-reviewed journal article
Transfer of IgG from Long COVID patients induces symptomology in mice
Hung‐Jen CheniD, Brent AppelmaniD, Hanneke L.D.M. WillemeniD, Amélie V. Bos, Judith PradoiD, Willem Ashwin MakiD, Noa Keijzer, Patrícia Silva Santos RibeiroiD, Sara Vieira GoncalvesiD, Sabine VersteegiD, Chiara Elisabeth GeyeriD, Mads Delbo LarseniD, Eline Schüchner, Marije Kristianne BomersiD, A. H. Ayesha LavelliD, Braeden T. CharltoniD, Rob C. I. WüstiD, Willem Joost WiersingaiD, Michèle van VugtiD, Gestur VidarssoniD, Niels EijkelkampiD, Jeroen den DunneniD
Abstract
SARS-CoV-2 infections worldwide led to a surge in cases of Long COVID, a post-infectious syndrome. It has been hypothesized that autoantibodies play a crucial role in the development of Long COVID and other syndromes, such as fibromyalgia and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). In this study, we tested this hypothesis by passively transferring total IgG from Long COVID patients to mice. Using Glial Fibrillary Acidic Protein (GFAP) and type-I interferon expression, we stratified patients into three Long COVID subgroups, each with unique plasma proteome signatures. Remarkably, IgG transfer from the two subgroups, which are characterized by higher plasma levels of neuronal proteins and leukocyte activation markers, induced pronounced and persistent sensory hypersensitivity with distinct kinetics. Conversely, IgG transfer from the third subgroup, which are characterized by enriched skeletal and cardiac muscle proteome profiles, reduced locomotor activity in mice without affecting their motor coordination. These findings demonstrate that transfer of IgG from Long COVID patients to mice replicates disease symptoms, underscoring IgGs causative role in Long COVID pathogenesis. This work proposes a murine model that mirrors Long COVIDs pathophysiological mechanisms, which may be used as a tool for screening and developing targeted therapeutics.
- organism: mouse
- assay: proteomics
- research focus: host-pathogen & immune response
- research focus: cell type annotation
- research focus: differential expression
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 47
- FWCI
- 46.82
- Field percentile
- top 1%
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