ArticleEnvironmental research2024
Associations between metals and metabolomic profiles related to diabetes among adults in a rural region.
Article in Environmental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Overlaps in mammalian iron and manganese homeostasis: recent advances.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Review
- Differential impacts of short-term PMScience China. Life sciences · 2026Article
- Metal Mixture Inflammatory Index and diabetes risk in US adults: a cross-sectional analysis of NHANES 1999-2020 and development of a LASSO-based prediction model.BMJ open diabetes research & care · 2025Article
- Association Between Serum Cobalt and Manganese Levels with Insulin Resistance in Overweight and Obese Mexican Women.Healthcare (Basel, Switzerland) · 2025Article
- Concentrations of trace metals in serum: Implications for type 2 diabetes mellitus and gender difference.Environmental analysis, health and toxicology · 2025Article
- Article
- Evaluation of cadmium effects on the glucose metabolism on insulin resistance HepG2 cells.Heliyon · 2024Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
introductionExposure 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 insulin-regulated glucose uptake. In this study, we assessed whether associations between metal exposure and metabolite profiles relate to biological pathways linked to T2D. MATERIALS AND
methodsWe 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.
resultsParticipants 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.
conclusionsOur 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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