An atlas of metallome and metabolome interactions and associations with incident diabetes in the Strong Heart Family Study
| Autor: | Jinying Zhao, Jason G. Umans, Dean P. Jones, Nancy J. LoIacono, Karan Uppal, Shelley A. Cole, Ana Navas-Acien, Young-Mi Go, Xin Hu, Tiffany R. Sanchez, Walter Goessler, ViLinh Tran |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Metal-mixtures Metallomics Metabolite chemistry.chemical_element Article Arsenic Cohort Studies chemistry.chemical_compound Metabolomics Metabolome Diabetes Mellitus Humans GE1-350 Prospective Studies General Environmental Science Integrative omics Diabetes Metallome Lipid metabolism Metabolism Environmental Exposure Environmental sciences chemistry Biochemistry Metals Uranium Female Arsenobetaine |
| Zdroj: | Environment International, Vol 157, Iss, Pp 106810-(2021) Environ Int |
| ISSN: | 0160-4120 |
| Popis: | Background: Chronic exposure to certain metals plays a role in disease development. Integrating untargeted metabolomics with urinary metallome data may contribute to better understanding the pathophysiology of diseases and complex molecular interactions related to environmental metal exposures. To discover novel associations between urinary metal biomarkers and metabolism networks, we conducted an integrative metallome-metabolome analysis using a panel of urinary metals and untargeted blood metabolomic data from the Strong Heart Family Study (SHFS). Methods: The SHFS is a prospective family-based cohort study comprised of American Indian men and women recruited in 2001–2003. This nested case-control analysis of 145 participants of which 50 developed incident diabetes at follow up in 2006–2009, included participants with urinary metal and untargeted metabolomic data. Concentrations of 8 creatinine-adjusted urine metals/metalloids [antimony (Sb), cadmium (Cd), lead (Pb), molybdenum (Mo), selenium (Se), tungsten (W), uranium (U) and zinc (Zn)], and 4 arsenic species [inorganic arsenic (iAs), monomethylarsonate (MMA), dimethylarsinate (DMA), and arsenobetaine (AsB)] were measured. Global metabolomics was performed on plasma samples using high-resolution Orbitrap mass spectrometry. We performed an integrative network analysis using xMWAS and a metabolic pathway analysis using Mummichog. Results: 8,810 metabolic features and 12 metal species were included in the integrative network analysis. Most metal species were associated with distinct subsets of metabolites, forming single-metal-multiple-metabolite clusters (|r|>0.28, p-value 0.17, p-value |
| Databáze: | OpenAIRE |
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