Journal article
Transcriptomics identifies blunted immunomodulatory effects of vitamin D in people with multiple sclerosis
- Abstract:
- Vitamin D deficiency is a risk factor for developing multiple sclerosis (MS). However, the immune effects of vitamin D in people with MS are not well understood. We analyzed transcriptomic datasets generated by RNA sequencing of immune cell subsets (CD4+, CD8+ T cells, B cells, monocytes) from 33 healthy controls and 33 untreated MS cases. We utilized a traditional bioinformatic pipeline and weighted gene co-expression network analysis (WGCNA) to determine genes and pathways correlated with endogenous vitamin D. In controls, CD4+ and CD8+ T cells had 1079 and 1188 genes, respectively, whose expressions were correlated with plasma 25-hydroxyvitamin D level (P + T cells of controls, vitamin D level was associated with expression levels of several genes proximal to multiple sclerosis risk loci (P = 0.01). Genes differentially associated with endogenous vitamin D by case–control status were enriched in TNF-alpha signaling via NF-κB. WGCNA suggested a blunted response to vitamin D in cases relative to controls. Collectively, our findings provide further evidence for the immune effects of vitamin D, and demonstrate a differential immune response to vitamin D in cases relative to controls, highlighting a possible mechanism contributing to MS pathophysiology.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 6.7MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-024-51779-0
Authors
+ National Health and Medical Research Council
More from this funder
- Funder identifier:
- https://ror.org/011kf5r70
- Publisher:
- Nature Research
- Journal:
- Scientific Reports More from this journal
- Volume:
- 14
- Issue:
- 1
- Pages:
- 1436-1436
- Publication date:
- 2024-01-16
- DOI:
- EISSN:
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2045-2322
- ISSN:
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2045-2322
- Language:
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English
- Keywords:
- Pubs id:
-
2344401
- Local pid:
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pubs:2344401
- Source identifiers:
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W4390901398
- Deposit date:
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2025-12-04
- ARK identifier:
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Terms of use
- Copyright date:
- 2024
- Licence:
- CC Attribution (CC BY)
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