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Clarelli, Ferdinando; Corona, Andrea; Pääkkönen, Kimmo; Sorosina, Melissa; Zollo, Alen; Piehl, Fredrik; Olsson, Tomas; Stridh, Pernilla; Jagodic, Maja; Hemmer, Bernhard ORCID logoORCID: https://orcid.org/0000-0001-5985-6784; Gasperi, Christiane; Harroud, Adil; Shchetynsky, Klementy; Mingione, Alessandra; Mascia, Elisabetta; Misra, Kaalindi; Giordano, Antonino; Mazzieri, Maria Laura Terzi; Priori, Alberto; Saarela, Janna; Kockum, Ingrid; Filippi, Massimo; Esposito, Federica und Boneschi, Filippo Giovanni Martinelli ORCID logoORCID: https://orcid.org/0000-0002-9955-1368 (2024): Pharmacogenomics of clinical response to Natalizumab in multiple sclerosis. A genome-wide multi-centric association study. In: Journal of Neurology, Bd. 271, Nr. 11: S. 7250-7263 [PDF, 1MB]

Abstract

Background : Inter-individual differences in treatment response are marked in multiple sclerosis (MS). This is true for Natalizumab (NTZ), to which a subset of patients displays sub-optimal treatment response. We conducted a multi-centric genome-wide association study (GWAS), with additional pathway and network analysis to identify genetic predictors of response to NTZ. Methods : MS patients from three different centers were included. Response to NTZ was dichotomized, nominating responders (R) relapse-free patients and non-responders (NR) all the others, over a follow-up of 4 years. Association analysis on ~ 4.7 M imputed autosomal common single-nucleotide polymorphisms (SNPs) was performed fitting logistic regression models, adjusted for baseline covariates, followed by meta-analysis at SNP and gene level. Finally, these signals were projected onto STRING interactome, to elicit modules and hub genes linked to response. Results : Overall, 1834 patients were included: 119 from Italy (R = 94, NR = 25), 81 from Germany (R = 61, NR = 20), and 1634 from Sweden (R = 1349, NR = 285). The top-associated variant was rs11132400T (p = 1.33 × 10–6, OR = 0.58), affecting expression of several genes in the locus, like KLKB1. The interactome analysis implicated a module of 135 genes, with over-representation of terms like canonical WNT signaling pathway (padjust = 7.08 × 10–6). Response-associated genes like GRB2 and LRP6, already implicated in MS pathogenesis, were topologically prioritized within the module. Conclusion : This GWAS, the largest pharmacogenomic study of response to NTZ, suggested MS-implicated genes and Wnt/β-catenin signaling pathway, an essential component for blood–brain barrier formation and maintenance, to be related to treatment response.

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