The multiple sclerosis exposome: environmental determinants, immunological convergence, and the Gulf Region as a natural test case
- 1Neuroscience Center of Excellence, King Faisal Specialist Hospital and Research Center
- 2Departments of Medicine, Neurology Division, McMaster University
- 3College of Medicine, Alfaisal University
Abstract
Background: The multiple sclerosis (MS) exposome is widely invoked but rarely measured; grouping environmental exposures together obscures large differences in evidence quality. Much of the existing gene–environment evidence originates from genetically and environmentally homogeneous northern European cohorts, leaving open whether it generalizes elsewhere. The Gulf Cooperation Council (GCC) region is a largely untested candidate for such a test: ambient particulate concentrations there routinely exceed international guideline values, the dominant particulate sources and composition differ from those characterized in European studies, and the region’s HLA-DRB1 allele distribution diverges substantially from the populations in which most gene–environment interaction evidence has been generated.
Approach: This narrative review appraises exposure domains against six pre-specified criteria—design, exposure assessment, temporality, dose–response, confounding control, and gene–environment interaction—and reports effect estimates. Search strategy, selection criteria, and appraisal limitations are stated explicitly.
Key findings: Inhalational exposures carry the most coherent signal. Pooled long-term particulate estimates are modest but consistent (PM 2.5 HR 1.21, 95% CI 1.07–1.38); combustion-related NO x shows dose dependence and interaction with HLA-DRB1*15:01; organic solvents and industrial dust show similar HLA-restricted interaction patterns. Two discordances temper this: the two largest prospective cohorts were null, and Mendelian randomization does not support a causal effect of smoking. Much of the interaction evidence derives from related Swedish datasets and is not independently replicated. Heavy metals rest on cross-sectional biomonitoring vulnerable to reverse causation; persistent organic pollutants contribute a mixture-level signal. Contemporary evidence does not support a Gulf-War-attributable increase in MS.
Working model: Chemically diverse exposures converge toward a limited set of immunological nodes—aryl hydrocarbon receptor activation, short-chain fatty acid depletion, EBNA1/GlialCAM mimicry, and oxidative impairment of regulatory T cells—each conditioned by HLA-restricted susceptibility.
Implications: We set out why the Gulf Cooperation Council region may be an informative setting for testing this model, which designs and immunological endpoints would test it, and what would falsify it.
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BibTeX
@article{shosha2026multiple,
title = {{The multiple sclerosis exposome: environmental determinants, immunological convergence, and the Gulf Region as a natural test case}},
author = {Eslam Shosha and Najeeb Qadi},
journal = {Frontiers in Immunology},
year = {2026},
month = oct,
doi = {10.3389/fimmu.2026.1941832},
url = {https://www.frontiersin.org/articles/10.3389/fimmu.2026.1941832/full},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - The multiple sclerosis exposome: environmental determinants, immunological convergence, and the Gulf Region as a natural test case
AU - Eslam Shosha
AU - Najeeb Qadi
PY - 2026
DA - 2026/10/05
JO - Frontiers in Immunology
DO - 10.3389/fimmu.2026.1941832
UR - https://www.frontiersin.org/articles/10.3389/fimmu.2026.1941832/full
AB - Background: The multiple sclerosis (MS) exposome is widely invoked but rarely measured; grouping environmental exposures together obscures large differences in evidence quality. Much of the existing gene–environment evidence originates from genetically and environmentally homogeneous northern European cohorts, leaving open whether it generalizes elsewhere. The Gulf Cooperation Council (GCC) region is a largely untested candidate for such a test: ambient particulate concentrations there routinely exceed international guideline values, the dominant particulate sources and composition differ from those characterized in European studies, and the region’s HLA-DRB1 allele distribution diverges substantially from the populations in which most gene–environment interaction evidence has been generated. Approach: This narrative review appraises exposure domains against six pre-specified criteria—design, exposure assessment, temporality, dose–response, confounding control, and gene–environment interaction—and reports effect estimates. Search strategy, selection criteria, and appraisal limitations are stated explicitly. Key findings: Inhalational exposures carry the most coherent signal. Pooled long-term particulate estimates are modest but consistent (PM 2.5 HR 1.21, 95% CI 1.07–1.38); combustion-related NO x shows dose dependence and interaction with HLA-DRB1*15:01; organic solvents and industrial dust show similar HLA-restricted interaction patterns. Two discordances temper this: the two largest prospective cohorts were null, and Mendelian randomization does not support a causal effect of smoking. Much of the interaction evidence derives from related Swedish datasets and is not independently replicated. Heavy metals rest on cross-sectional biomonitoring vulnerable to reverse causation; persistent organic pollutants contribute a mixture-level signal. Contemporary evidence does not support a Gulf-War-attributable increase in MS. Working model: Chemically diverse exposures converge toward a limited set of immunological nodes—aryl hydrocarbon receptor activation, short-chain fatty acid depletion, EBNA1/GlialCAM mimicry, and oxidative impairment of regulatory T cells—each conditioned by HLA-restricted susceptibility. Implications: We set out why the Gulf Cooperation Council region may be an informative setting for testing this model, which designs and immunological endpoints would test it, and what would falsify it.
SN - 1664-3224
ER -