Dataset Information

Heavy metals, organic solvents, and multiple sclerosis: An exploratory look at gene-environment interactions.

ABSTRACT: Exposure to heavy metals and organic solvents are potential etiologic factors for multiple sclerosis (MS), but their interaction with MS-associated genes is under-studied. The authors explored the relationship between environmental exposure to lead, mercury, and solvents and 58 single-nucleotide polymorphisms (SNPs) in MS-associated genes. Data from a population-based case-control study of 217 prevalent MS cases and 496 age-, race-, gender-, and geographically matched controls were used to fit conditional logistic regression models of the association between the chemical, gene, and MS, adjusting for education and ancestry. MS cases were more likely than controls to report lead (odds ratio [OR] = 2.03; 95% confidence interval [CI]: 1.07, 3.86) and mercury exposure (OR = 2.06; 95% CI: 1.08, 3.91). Findings of potential gene-environment interactions between SNPs in TNF-?, TNF-?, TCA-?, VDR, MBP, and APOE, and lead, mercury, or solvents should be considered cautiously due to limited sample size.

SUBMITTER: Napier MD

PROVIDER: S-EPMC4334728 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Heavy metals, organic solvents, and multiple sclerosis: An exploratory look at gene-environment interactions.

Napier Melanie D MD Poole Charles C Satten Glen A GA Ashley-Koch Allison A Marrie Ruth Ann RA Williamson Dhelia M DM

Archives of environmental & occupational health 20140819 1

Exposure to heavy metals and organic solvents are potential etiologic factors for multiple sclerosis (MS), but their interaction with MS-associated genes is under-studied. The authors explored the relationship between environmental exposure to lead, mercury, and solvents and 58 single-nucleotide polymorphisms (SNPs) in MS-associated genes. Data from a population-based case-control study of 217 prevalent MS cases and 496 age-, race-, gender-, and geographically matched controls were used to fit c ...[more]

PMID: 25137520

Similar Datasets

Project description:Introduction Artificial turf or synthetic grass releases hazardous substances such as heavy metals, polycyclic aromatic hydrocarbons (PAHs), and volatile organic compounds (VOCs). Objective The current study aimed to evaluate the concentration levels of hazardous substances that are emitted from artificial turf as a result of sunlight effect; and to assess the expected exposure risks to such emitted substances during various activities. The current study aimed to evaluate the concentration levels of hazardous substances that are emitted from artificial turf as a result of the effect of sunlight. And to assess the expected risks of exposure to these substances emitted during the various activities. Study design VOCs emitted from artificial turf samples were monitored and collected in the ambient air of three football fields, the ambient air around a piece of new artificial turf that has not yet been used on playing fields, but has been exposed to sunlight within one year and in the indoor air around a piece of new artificial turf. Which has not yet been used on the playgrounds and was placed at room temperature and away from sunlight. Results The current study shows that average afternoon morning VOCs levels were 277, 333, 405 and 509 mg/m3 in winter, autumn, spring and summer, respectively. The most predominant PAHs compounds present in the samples were compounds with 3-rings and 4-rings. The average daily intake (ADI) for three exposure routes (ingestion, inhalation, and dermal contact) was calculated for different age categories (3–6, 7–15, 16–18, 19–22, 23–55, and 56–70 year). Non-Carcinogenic exposure risk as hazard quotient (HQ) and hazard index (HI) were detected. Conclusion All HI values were <1, indicating that there is no potential adverse health effects occur as a result of a chemical exposure. Total carcinogenic risk (R) values for the different age categories were higher than 1E-04 for three football artificial grass fields, which indicated a high cancer risk development probability. HI and R probability increased in the age group of 7–15 year > 3–6 years.

Project description:BackgroundWe previously reported a relationship between air pollutants and increased risk of pediatric-onset multiple sclerosis (POMS). Ozone is an air pollutant that may play a role in multiple sclerosis (MS) pathoetiology. CD86 is the only non-HLA gene associated with POMS for which expression on antigen-presenting cells (APCs) is changed in response to ozone exposure.ObjectivesTo examine the association between county-level ozone and POMS, and the interactions between ozone pollution, CD86, and HLA-DRB1*15, the strongest genetic variant associated with POMS.MethodsCases and controls were enrolled in the Environmental and Genetic Risk Factors for Pediatric MS study of the US Network of Pediatric MS Centers. County-level-modeled ozone data were acquired from the CDC's Environmental Tracking Network. Participants were assigned ozone values based on county of residence. Values were categorized into tertiles based on healthy controls. The association between ozone tertiles and having MS was assessed by logistic regression. Interactions between tertiles of ozone level and the GG genotype of the rs928264 (G/A) single nucleotide polymorphism (SNP) within CD86, and the presence of DRB1*15:01 (DRB1*15) on odds of POMS were evaluated. Models were adjusted for age, sex, genetic ancestry, and mother's education. Additive interaction was estimated using relative excess risk due to interaction (RERI) and attributable proportions (APs) of disease were calculated.ResultsA total of 334 POMS cases and 565 controls contributed to the analyses. County-level ozone was associated with increased odds of POMS (odds ratio 2.47, 95% confidence interval (CI): 1.69-3.59 and 1.95, 95% CI: 1.32-2.88 for the upper two tertiles, respectively, compared with the lowest tertile). There was a significant additive interaction between high ozone tertiles and presence of DRB1*15, with a RERI of 2.21 (95% CI: 0.83-3.59) and an AP of 0.56 (95% CI: 0.33-0.79). Additive interaction between high ozone tertiles and the CD86 GG genotype was present, with a RERI of 1.60 (95% CI: 0.14-3.06) and an AP of 0.37 (95% CI: 0.001-0.75) compared to the lowest ozone tertile. AP results indicated that approximately half of the POMS risk in subjects can be attributed to the possible interaction between higher county-level ozone carrying either DRB1*15 or the CD86 GG genotype.ConclusionsIn addition to the association between high county-level ozone and POMS, we report evidence for additive interactions between higher county-level ozone and DRB1*15 and the CD86 GG genotype. Identifying gene-environment interactions may provide mechanistic insight of biological processes at play in MS susceptibility. Our work suggests a possible role of APCs for county-level ozone-induced POMS risk.

Dataset Information

Heavy metals, organic solvents, and multiple sclerosis: An exploratory look at gene-environment interactions.

Publications

Heavy metals, organic solvents, and multiple sclerosis: An exploratory look at gene-environment interactions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets