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◆ Nature Communications2026-05-04· Immune system

Immune-metabolic trajectories delineate subgroups in paediatric long COVID

Daniel Vilser, I. Han, Katrin Vogel, Pauline Jakobs, Michael Lorenz, Peter Huppke, Lars Newman, Michelle Paszkier, Jens Kühle, Juliane Mohr, Clara Aign, Annegret Reinhold, Dirk Reinhold, Stefan Weinzierl, Elisabeth Ullmann, Hans Proquitté, Monika C. Brunner‐Weinzierl

原始摘要(英文原文)· Original abstract
Abstract Most children and adolescents recover rapidly from SARS-CoV-2 infection, yet a subset develops paediatric long COVID (LC). How immune ontogeny shapes LC biology and heterogeneity remains unclear. We deeply phenotype a two-visit cohort with severe LC ( n = 74) and controls ( n = 27) spanning up to 3.2 years post index infection. Symptom burden remains high and neurofilament light chain (NfL) percentiles inversely associate with functional status (Bell score; $$r$$ r = −0.3536, P = 0.0060). Cardiopulmonary assessment and serology are unremarkable. Conventional autoantibodies are not enriched, whereas anti-DFS70 supports subgrouping. Immune features are temporally structured; SARS-CoV-2–associated mediators decline within 1 year, while innate-weighted, Th2-skewed cytokines persist. Metabolomics (43 metabolites) recapitulate the identified subgroups and align with EBV serostatus, disease phase (<1 year versus years 1–3.2), and anti-DFS70 positivity. In EBV-naïve LC, higher haemoglobin concentration (MCHC) tracks worse function, whereas higher IL-12p40, thiamine and basophils track milder impairment (all P ≤ 0.0170). These data delineate immune-metabolic and haematological axes of paediatric LC heterogeneity and support biomarker-guided stratification.
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