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Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis

OBJECTIVE: We investigated potential interactions between human leukocyte antigen (HLA) genotype and body mass index (BMI) status in relation to the risk of developing multiple sclerosis (MS). METHODS: We used 2 case-control studies, one with incident cases (1,510 cases, 2,017 controls) and one with...

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Autores principales: Hedström, Anna Karin, Lima Bomfim, Izaura, Barcellos, Lisa, Gianfrancesco, Milena, Schaefer, Catherine, Kockum, Ingrid, Olsson, Tomas, Alfredsson, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959752/
https://www.ncbi.nlm.nih.gov/pubmed/24500647
http://dx.doi.org/10.1212/WNL.0000000000000203
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author Hedström, Anna Karin
Lima Bomfim, Izaura
Barcellos, Lisa
Gianfrancesco, Milena
Schaefer, Catherine
Kockum, Ingrid
Olsson, Tomas
Alfredsson, Lars
author_facet Hedström, Anna Karin
Lima Bomfim, Izaura
Barcellos, Lisa
Gianfrancesco, Milena
Schaefer, Catherine
Kockum, Ingrid
Olsson, Tomas
Alfredsson, Lars
author_sort Hedström, Anna Karin
collection PubMed
description OBJECTIVE: We investigated potential interactions between human leukocyte antigen (HLA) genotype and body mass index (BMI) status in relation to the risk of developing multiple sclerosis (MS). METHODS: We used 2 case-control studies, one with incident cases (1,510 cases, 2,017 controls) and one with prevalent cases (937 cases, 609 controls). Subjects with different genotypes and BMI were compared with regard to incidence of MS by calculating odds ratios (ORs) with 95% confidence intervals (CIs) employing logistic regression. Potential interactions between genotypes and BMI were evaluated by calculating the attributable proportion due to interaction. RESULTS: In both cohorts, a significant interaction was observed between HLA-DRB1*15 and obesity, regardless of HLA-A*02 status. Similarly, there was a significant interaction between absence of A*02 and obesity, regardless of DRB1*15 status. In the incident cohort, obese subjects with the most susceptible genotype (carriage of DRB1*15 and absence of A*02) had an OR of 16.2 (95% CI 7.5–35.2) compared to nonobese subjects without the genetic risk factors. The corresponding OR in the prevalent study was 13.8 (95% CI 4.1–46.8). CONCLUSIONS: We observed striking interactions between BMI status and HLA genotype with regard to MS risk. Hypothetically, a low-grade inflammatory response inherent to obesity synergizes with the adaptive, HLA molecule–restricted arm of the immune system, causing MS. Prevention of adolescent obesity may thus lower the risk of developing MS, predominantly among people with a genetic susceptibility to the disease.
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spelling pubmed-39597522014-03-21 Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis Hedström, Anna Karin Lima Bomfim, Izaura Barcellos, Lisa Gianfrancesco, Milena Schaefer, Catherine Kockum, Ingrid Olsson, Tomas Alfredsson, Lars Neurology Article OBJECTIVE: We investigated potential interactions between human leukocyte antigen (HLA) genotype and body mass index (BMI) status in relation to the risk of developing multiple sclerosis (MS). METHODS: We used 2 case-control studies, one with incident cases (1,510 cases, 2,017 controls) and one with prevalent cases (937 cases, 609 controls). Subjects with different genotypes and BMI were compared with regard to incidence of MS by calculating odds ratios (ORs) with 95% confidence intervals (CIs) employing logistic regression. Potential interactions between genotypes and BMI were evaluated by calculating the attributable proportion due to interaction. RESULTS: In both cohorts, a significant interaction was observed between HLA-DRB1*15 and obesity, regardless of HLA-A*02 status. Similarly, there was a significant interaction between absence of A*02 and obesity, regardless of DRB1*15 status. In the incident cohort, obese subjects with the most susceptible genotype (carriage of DRB1*15 and absence of A*02) had an OR of 16.2 (95% CI 7.5–35.2) compared to nonobese subjects without the genetic risk factors. The corresponding OR in the prevalent study was 13.8 (95% CI 4.1–46.8). CONCLUSIONS: We observed striking interactions between BMI status and HLA genotype with regard to MS risk. Hypothetically, a low-grade inflammatory response inherent to obesity synergizes with the adaptive, HLA molecule–restricted arm of the immune system, causing MS. Prevention of adolescent obesity may thus lower the risk of developing MS, predominantly among people with a genetic susceptibility to the disease. Lippincott Williams & Wilkins 2014-03-11 /pmc/articles/PMC3959752/ /pubmed/24500647 http://dx.doi.org/10.1212/WNL.0000000000000203 Text en © 2014 American Academy of Neurology This is an open access article distributed under the terms of the Creative Commons Attribution-Noncommercial No Derivative 3.0 License, which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially.
spellingShingle Article
Hedström, Anna Karin
Lima Bomfim, Izaura
Barcellos, Lisa
Gianfrancesco, Milena
Schaefer, Catherine
Kockum, Ingrid
Olsson, Tomas
Alfredsson, Lars
Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title_full Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title_fullStr Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title_full_unstemmed Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title_short Interaction between adolescent obesity and HLA risk genes in the etiology of multiple sclerosis
title_sort interaction between adolescent obesity and hla risk genes in the etiology of multiple sclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3959752/
https://www.ncbi.nlm.nih.gov/pubmed/24500647
http://dx.doi.org/10.1212/WNL.0000000000000203
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