Multiple sclerosis (MS) is a complex inflammatory disease of the CNS resulting from an intricate interplay between genetic predisposition and environmental factors. Vitamin D (VD) deficiency is one of the established risk factors for MS. CD46 costimulation of CD4+ T cells induces a switch from Th1 to type I regulatory cells (Tr1), characterized by increased IL-10 production. This switch is impaired in MS T cells but can be restored by VD, which also strongly promotes expression of CD226 on CD46-activated T cells. The rs763361 polymorphism in the CD226 gene, resulting in a nonsynonymous Gly307Ser variant, is associated with increased risk for MS. Herein, we show that expression of this CD226 risk allele disrupts the ability of CD46-activated T cells to operate the IFN-γ/IL-10 switch upon VD exposure. Mechanistically, the risk variant impairs activation of the integrin LFA-1, which promotes the Tr1 phenotype. LFA-1–mediated Tr1 differentiation is also impaired in MS T cells expressing the CD226 risk allele upon CD46 and VD stimulation. Our study unveils how, in the context of MS susceptibility, a genetic polymorphism and an environmental factor act in concert to control the differentiation of Tr1 cells.
Saniya Kari, Aymeline Debonlier, Thibault Angles, Beatriz Chaves, Charles Grosjean, Florence Bucciarelli, Valérie Duplan-Eche, Lucie Nozeran, Jessica Lavery, Elena Morandi, Beatrice Pignolet, Max Mimpen, Joost Smolders, Roland Liblau, Abdelhadi Saoudi, Jan Damoiseaux, Frederick Masson, Loïc Dupré, Anne L. Astier
Usage data is cumulative from September 2026 through November 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,020 | 0 |
| 760 | 0 | |
| Figure | 352 | 0 |
| Table | 81 | 0 |
| Supplemental data | 216 | 0 |
| Citation downloads | 297 | 0 |
| Totals | 3,726 | 0 |
| Total Views | 3,726 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.