Early immune activation in the prediagnostic phases of immune-mediated neurological diseases
Vietzen, H.; Reinecke, R.; Nolte, J.; Kuehner, L. M.; Berger, S. M.; Camp, J. V.; Ponleitner, M.; Rostasy, K.; Saucke, H.; Kauth, F.; Koukou, G.; Sommer, S.; Wendel, E.-M.; Graninger, M.; Endmayr, V.; Koebl-Shkreli, K.; Nitsch, S.; Wachutka, J.; Waubant, E. L.; Mar, S.; Krupp, L. B.; Waldman, A. T.; Casper, T. C.; Chitnis, T.; Weidner, L.; Pistorius, C.; Jungbauer, C.; Reindl, M.; Kornek, B.; Breu, M.; Bsteh, G.; Lassmann, H.; Berger, T.; Hoeftberger, R.; Rommer, P.
Show abstract
Multiple sclerosis (MS), myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and neuromyelitis optica spectrum disorder (NMOSD) are immune-mediated inflammatory disorders of the central nervous system (CNS). The temporal relationship between disease-specific autoantibodies and biomarkers of CNS injury before diagnosis remains unclear and is relevant for understanding early pathobiology. Here, we conducted a multicentre retrospective longitudinal case-control study using prediagnostic plasma from 362 individuals who later developed MS, 145 who developed MOGAD, and 60 who developed NMOSD. Plasma IgG levels against CNS antigens, MOG, and AQP4, as well as neurofilament light chain (pNfL), were quantified, and temporal relationships between immune activation, neuroaxonal injury, and clinical disease onset were modelled using linear mixed-effects models and survival analyses. In MS, EBNA-1-specific and CNS-cross-reactive IgG were elevated up to 77.8 months before diagnosis, preceding pNfL increases by 44.9 months. In NMOSD, AQP4-IgG seroconversion occurred 32.5 months before diagnosis and preceded pNfL elevations by 40.4 months. In MOGAD, pNfL elevations preceded MOG-IgG seroconversion by 11.2 months. Thus, in MS and NMOSD, humoral autoimmunity precedes detectable CNS injury, whereas in MOGAD, neuroaxonal injury occurs before circulating MOG-IgG. These distinct temporal patterns suggest differing early immunopathological trajectories and may provide a framework for future studies of early disease biology and biomarker-guided risk stratification.
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