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Targeted metabolomics to understand the association between arsenic metabolism and diabetes-related outcomes: Preliminary evidence from the Strong Heart Family Study.
Spratlen, Miranda J; Grau-Perez, Maria; Umans, Jason G; Yracheta, Joseph; Best, Lyle G; Francesconi, Kevin; Goessler, Walter; Bottiglieri, Teodoro; Gamble, Mary V; Cole, Shelley A; Zhao, Jinying; Navas-Acien, Ana.
Afiliação
  • Spratlen MJ; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: mjs2376@cumc.columbia.edu.
  • Grau-Perez M; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Fundación Investigación Clínico de Valencia-INCLIVA, Area of Cardiometabolic and Renal Risk, Valencia, Valencia, Spain; University of Valencia, Department of Statistics and Operationa
  • Umans JG; MedStar Health Research Institute, Hyattsville, MD, USA; Department of Medicine, Georgetown University School of Medicine, Washington, DC, USA.
  • Yracheta J; Missouri Breaks Industries Research, Inc., Eagle Butte, SD, USA.
  • Best LG; Missouri Breaks Industries Research, Inc., Eagle Butte, SD, USA.
  • Francesconi K; Institute of Chemistry - Analytical Chemistry, University of Graz, Austria.
  • Goessler W; Institute of Chemistry - Analytical Chemistry, University of Graz, Austria.
  • Bottiglieri T; Baylor Scott & White Research Institute, Dallas, TX, USA.
  • Gamble MV; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
  • Cole SA; Texas Biomedical Research Institute, San Antonio, TX, USA.
  • Zhao J; College of Public Health and Health Professions and the College of Medicine at the University of Florida, Gainesville, FL, USA.
  • Navas-Acien A; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Environmental Health & Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: an2737@cumc.columbia.edu.
Environ Res ; 168: 146-157, 2019 01.
Article em En | MEDLINE | ID: mdl-30316100
ABSTRACT

BACKGROUND:

Inorganic arsenic exposure is ubiquitous and both exposure and inter-individual differences in its metabolism have been associated with cardiometabolic risk. A more efficient arsenic metabolism profile (lower MMA%, higher DMA%) has been associated with reduced risk for arsenic-related health outcomes. This profile, however, has also been associated with increased risk for diabetes-related outcomes.

OBJECTIVES:

The mechanism behind these conflicting associations is unclear; we hypothesized the one-carbon metabolism (OCM) pathway may play a role.

METHODS:

We evaluated the influence of OCM on the relationship between arsenic metabolism and diabetes-related outcomes (HOMA2-IR, waist circumference, fasting plasma glucose) using metabolomic data from an OCM-specific and P180 metabolite panel measured in plasma, arsenic metabolism measured in urine, and HOMA2-IR and FPG measured in fasting plasma. Samples were drawn from baseline visits (2001-2003) in 59 participants from the Strong Heart Family Study, a family-based cohort study of American Indians aged ≥14 years from Arizona, Oklahoma, and North/South Dakota.

RESULTS:

In unadjusted analyses, a 5% increase in DMA% was associated with higher HOMA2-IR (geometric mean ratio (GMR)= 1.13 (95% CI 1.03, 1.25)) and waist circumference (mean difference=3.66 (0.95, 6.38). MMA% was significantly associated with lower HOMA2-IR and waist circumference. After adjustment for OCM-related metabolites (SAM, SAH, cysteine, glutamate, lysophosphatidylcholine 18.2, and three phosphatidlycholines), associations were attenuated and no longer significant.

CONCLUSIONS:

These preliminary results indicate that the association of lower MMA% and higher DMA% with diabetes-related outcomes may be influenced by OCM status, either through confounding, reverse causality, or mediation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Diabetes Mellitus Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Diabetes Mellitus Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article