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.
引用
收藏
页数:8
相关论文
共 65 条
  • [21] Instruments Beckman, 1988, Glucose Analyzer 2 Operating Manual
  • [22] Jaishankar Monisha, 2014, Interdiscip Toxicol, V7, P60, DOI 10.2478/intox-2014-0009
  • [23] A branched-chain amino acid metabolite drives vascular fatty acid transport and causes insulin resistance
    Jang, Cholsoon
    Oh, Sungwhan F.
    Wada, Shogo
    Rowe, Glenn C.
    Liu, Laura
    Chan, Mun Chun
    Rhee, James
    Hoshino, Atsushi
    Kim, Boa
    Ibrahim, Ayon
    Baca, Luisa G.
    Kim, Esl
    Ghosh, Chandra C.
    Parikh, Samir M.
    Jiang, Aihua
    Chu, Qingwei
    Forman, Daniel E.
    Lecker, Stewart H.
    Krishnaiah, Saikumari
    Rabinowitz, Joshua D.
    Weljie, Aalim M.
    Baur, Joseph A.
    Kasper, Dennis L.
    Arany, Zoltan
    [J]. NATURE MEDICINE, 2016, 22 (04) : 421 - +
  • [24] Clinical profiles, comorbidities and complications of type 2 diabetes mellitus in patients from United Arab Emirates
    Jelinek, Herbert F.
    Osman, Wael M.
    Khandoker, Ahsan H.
    Khalaf, Kinda
    Lee, Sungmun
    Almahmeed, Wael
    Alsafar, Habiba S.
    [J]. BMJ OPEN DIABETES RESEARCH & CARE, 2017, 5 (01)
  • [25] Relationship between heavy metal exposure and type 2 diabetes: a large-scale retrospective cohort study using occupational health examinations
    Ji, Jun Ho
    Jin, Mi Hyeon
    Kang, Jung-Hun
    Lee, Soon Il
    Lee, Suee
    Kim, Sung-Hyun
    Oh, Sung Yong
    [J]. BMJ OPEN, 2021, 11 (03):
  • [26] Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
    Jin, Qiao
    Ma, Ronald Ching Wan
    [J]. CELLS, 2021, 10 (11)
  • [27] Metals in the pathogenesis of type 2 diabetes
    Khan A.R.
    Awan F.R.
    [J]. Journal of Diabetes & Metabolic Disorders, 13 (1)
  • [28] The Essential Element Manganese, Oxidative Stress, and Metabolic Diseases: Links and Interactions
    Li, Longman
    Yang, Xiaobo
    [J]. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, 2018, 2018
  • [29] Heavy metal exposure causes changes in the metabolic health-associated gut microbiome and metabolites
    Li, Xuanji
    Brejnrod, Asker Daniel
    Ernst, Madeleine
    Rykaer, Martin
    Herschend, Jakob
    Olsen, Nanna Mee Coops
    Dorrestein, Pieter C.
    Rensing, Christopher
    Sorensen, Soren Johannes
    [J]. ENVIRONMENT INTERNATIONAL, 2019, 126 : 454 - 467
  • [30] Use of high-resolution metabolomics for the identification of metabolic signals associated with traffic-related air pollution
    Liang, Donghai
    Moutinho, Jennifer L.
    Golan, Rachel
    Yu, Tianwei
    Ladva, Chandresh N.
    Niedzwiecki, Megan
    Walker, Douglas I.
    Sarnat, Stefanie Ebelt
    Chang, Howard H.
    Greenwald, Roby
    Jones, Dean P.
    Russell, Armistead G.
    Sarnat, Jeremy A.
    [J]. ENVIRONMENT INTERNATIONAL, 2018, 120 : 145 - 154