4.7 Article

Metabolomic profiling identifies novel associations with Electrolyte and Acid-Base Homeostatic patterns

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SCIENTIFIC REPORTS
卷 9, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-019-51492-3

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资金

  1. MRC AimHy [MR/M016560/1]
  2. Wellcome trust programme grant HATS (Genetics of ageing: The genetic and environmental determinants of ageing in women) [081878/Z/06/Z]
  3. CDRF
  4. Wellcome Trust European Community's Seventh Framework Programme (FP7/2007-2013)
  5. National Institute for Health Research (NIHR) Clinical Research Facility at Guy's & St Thomas' NHS Foundation Trust
  6. King's College London
  7. Medical Research Council [MR/M016560/1]
  8. British Heart Foundation [PG/12/85/29925, CS/16/1/31878]
  9. BHF fellowship [FS/14/52/30901]
  10. German Federal Ministry of Education and Research (BMBF) [01ZZ96030, 01ZZ0701]
  11. Ministry of Education, Research and Cultural Affairs
  12. Ministry of Social Affairs of the Federal State of Mecklenburg-West Pomerania
  13. 'Biomedical Research Program' funds at Weill Cornell Medicine in Qatar - Qatar Foundation
  14. MRC [MR/M016560/1, MR/M004422/1] Funding Source: UKRI
  15. Wellcome Trust [081878/Z/06/Z] Funding Source: Wellcome Trust

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Electrolytes have a crucial role in maintaining health and their serum levels are homeostatically maintained within a narrow range by multiple pathways involving the kidneys. Here we use metabolomics profiling (592 fasting serum metabolites) to identify molecular markers and pathways associated with serum electrolyte levels in two independent population-based cohorts. We included 1523 adults from TwinsUK not on blood pressure-lowering therapy and without renal impairment to look for metabolites associated with chloride, sodium, potassium and bicarbonate by running linear mixed models adjusting for covariates and multiple comparisons. For each electrolyte, we further performed pathway enrichment analysis (PAGE algorithm). Results were replicated in an independent cohort. Chloride, potassium, bicarbonate and sodium associated with 10, 58, 36 and 17 metabolites respectively (each P < 2.1 x 10(-5)), mainly lipids. Of all the electrolytes, serum potassium showed the most significant associations with individual fatty acid metabolites and specific enrichment of fatty acid pathways. In contrast, serum sodium and bicarbonate showed associations predominantly with amino-acid related species. In the first study to examine systematically associations between serum electrolytes and small circulating molecules, we identified novel metabolites and metabolic pathways associated with serum electrolyte levels. The role of these metabolic pathways on electrolyte homeostasis merits further studies.

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