Browsing by Author "Smith, Martyn T."

Now showing 1 - 4 of 4
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    Obesity and increased susceptibility to arsenic-related type 2 diabetes in northern Chile
    (2018) Castriota, Felicia; Acevedo, Johanna; Ferreccio Readi, Catterina; Smith, Allan H.; Liaw, Jane; Smith, Martyn T.; Steinmaus, Craig
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    Rapid Reduction in Breast Cancer Mortality With Inorganic Arsenic in Drinking Water
    (ELSEVIER SCIENCE BV, 2014) Smith, Allan H.; Marshall Rivera, Guillermo; Yuan, Yan; Steinmaus, Craig; Ferreccio Readi, Catterina; Liaw, Jane; Smith, Martyn T.; Wood, Lily; Heirich, Marissa; Fritzemeier, Rebecca M.; Pegram, Mark D.
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    Socioeconomic status and the association between arsenic exposure and type 2 diabetes
    (2019) Eick, Stephanie M.; Ferreccio, Catterina; Acevedo, Johanna; Castriota, Felicia; Cordero, Jose F.; Roh, Taehyun; Smith, Allan H.; Smith, Martyn T.; Steinmaus, Craig
    Objective: Evaluate whether arsenic-related diabetes risks differ between people of low and high socioeconomic status (SES).
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    The impact of prenatal and early-life arsenic exposure on epigenetic age acceleration among adults in Northern Chile
    (2022) Bozack, Anne K.; Boileau, Philippe; Hubbard, Alan E.; Sille, Fenna C. M.; Ferreccio, Catterina; Steinmaus, Craig M.; Smith, Martyn T.; Cardenas, Andres
    Exposure to arsenic affects millions of people globally. Changes in the epigenome may be involved in pathways linking arsenic to health or serve as biomarkers of exposure. This study investigated associations between prenatal and early-life arsenic exposure and epigenetic age acceleration (EAA) in adults, a biomarker of morbidity and mortality. DNA methylation was measured in peripheral blood mononuclear cells (PBMCs) and buccal cells from 40 adults (median age = 49 years) in Chile with and without high prenatal and early-life arsenic exposure. EAA was calculated using the Horvath, Hannum, PhenoAge, skin and blood, GrimAge, and DNA methylation telomere length clocks. We evaluated associations between arsenic exposure and EAA using robust linear models. Participants classified as with and without arsenic exposure had a median drinking water arsenic concentration at birth of 555 and 2 mu g/l, respectively. In PBMCs, adjusting for sex and smoking, exposure was associated with a 6-year PhenoAge acceleration [B (95% CI) = 6.01 (2.60, 9.42)]. After adjusting for cell-type composition, we found positive associations with Hannum EAA [B (95% CI) = 3.11 (0.13, 6.10)], skin and blood EAA [B (95% CI) = 1.77 (0.51, 3.03)], and extrinsic EAA [B (95% CI) = 4.90 (1.22, 8.57)]. The association with PhenoAge acceleration in buccal cells was positive but not statistically significant [B (95% CI) = 4.88 (-1.60, 11.36)]. Arsenic exposure limited to early-life stages may be associated with biological aging in adulthood. Future research may provide information on how EAA programmed in early life is related to health.