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Environmental Factors Related to Multiple Sclerosis in Indian Population

BACKGROUND: Multiple sclerosis (MS) is less prevalent among Indians when compared to white populations. Genetic susceptibility remaining the same it is possible that environmental associations may have a role in determining disease prevalence. AIMS: To determine whether childhood infections, vaccina...

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Detalles Bibliográficos
Autores principales: Malli, Chaithra, Pandit, Lekha, D’Cunha, Anita, Mustafa, Sharik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406747/
https://www.ncbi.nlm.nih.gov/pubmed/25902359
http://dx.doi.org/10.1371/journal.pone.0124064
Descripción
Sumario:BACKGROUND: Multiple sclerosis (MS) is less prevalent among Indians when compared to white populations. Genetic susceptibility remaining the same it is possible that environmental associations may have a role in determining disease prevalence. AIMS: To determine whether childhood infections, vaccination status, past infection with Helicobacter pylori (H.pylori), diet, socioeconomic and educational status were associated with MS. MATERIAL AND METHODS: 139 patients and 278 matched control subjects were selected. A validated environmental exposure questionnaire was administered. Estimation of serum H.pylori IgG antibody was done by ELISA. Patients and controls were genotyped for HLA-DRB1*15:01. RESULTS: In our cohort a significant association was seen with measles (p <0.007), vegetarian diet (p < 0.001, higher educational status (p <0.0001) and urban living (p <0.0001). An inverse relationship was seen with H.Pylori infection and MS (p <0.001). Measles infection (OR 6.479, CI 1.21- 34.668, p< 0.029) and high educational status (OR 3.088, CI 1.212- 7.872, p< 0.018) were significant risk factors associated with MS. H.pylori infection was inversely related to MS (OR 0. 319, CI 0.144- 0.706, p <0.005). CONCLUSIONS: Environmental influences may be important in determining MS prevalence.