Associations between metals and metabolomic profiles related to diabetes among adults in a rural region

被引:5
作者
Debertin, Julia G. [1 ,2 ,8 ]
Holzhausen, Elizabeth A. [3 ]
Walker, Douglas I. [4 ]
Pacheco, Brismar Pinto [5 ]
James, Katherine A. [6 ]
Alderete, Tanya L. [3 ]
Corlin, Laura [1 ,7 ]
机构
[1] Tufts Univ, Sch Med, Dept Publ Hlth & Community Med, Boston, MA USA
[2] Mayo Clin, Mayo Clin Alix Sch Med, Coll Med & Sci, Rochester, MN USA
[3] Univ Colorado, Dept Integrat Physiol, Boulder, CO USA
[4] Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA 30322 USA
[5] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, New York, NY USA
[6] Univ Colorado, Colorado Sch Publ Hlth, Dept Environm & Occupat Hlth, Anschutz Med Campus, Aurora, CO USA
[7] Tufts Univ, Dept Civil & Environm Engn, Sch Engn, Medford, MA USA
[8] 136 Harrison Ave, Boston, MA 02111 USA
关键词
Metabolomics; Metals; Type; 2; diabetes; Rural health; Pathway enrichment; HIGH-RESOLUTION METABOLOMICS; ARSENIC EXPOSURE; POPULATION; PREVALENCE; HEALTH; BIOMARKER; URBAN;
D O I
10.1016/j.envres.2023.117776
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Introduction: Exposure to metals is associated with increased risk of type 2 diabetes (T2D). Potential mechanisms for metals-T2D associations involve biological processes including oxidative stress and disruption of insulinregulated glucose uptake. In this study, we assessed whether associations between metal exposure and metabolite profiles relate to biological pathways linked to T2D. Materials and methods: We used data from 29 adults rural Colorado residents enrolled in the San Luis Valley Diabetes Study. Urinary concentrations of arsenic, cadmium, cobalt, lead, manganese, and tungsten were measured. Metabolic effects were evaluated using untargeted metabolic profiling, which included 61,851 metabolite signals detected in serum. We evaluated cross-sectional associations between metals and metabolites present in at least 50% of samples. Primary analyses adjusted urinary heavy metal concentrations for creatinine. Metabolite outcomes associated with each metal exposure were evaluated using pathway enrichment to investigate potential mechanisms underlying the relationship between metals and T2D. Results: Participants had a mean age of 58.5 years (standard deviation = 9.2), 48.3% were female, 48.3% identified as Hispanic/Latino, 13.8% were current smokers, and 65.5% had T2D. Of the detected metabolites, 455 were associated with at least one metal, including 42 associated with arsenic, 22 with cadmium, 10 with cobalt, 313 with lead, 66 with manganese, and two with tungsten. The metabolic features were linked to 24 pathways including linoleate metabolism, butanoate metabolism, and arginine and proline metabolism. Several of these pathways have been previously associated with T2D, and our results were similar when including only participants with T2D. Conclusions: Our results support the hypothesis that metals exposure may be associated with biological processes related to T2D, including amino acid, co-enzyme, and sugar and fatty acid metabolism. Insight into biological pathways could influence interventions to prevent adverse health outcomes due to metal exposure.
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页数:8
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