Urine untargeted metabolomic profiling is associated with the dietary pattern of successful aging among malaysian elderly

Nik Nur Izzati Nik Mohd Fakhruddin, Suzana Shahar, Intan Safinar Ismail, Amalina Ahmad Azam, Nor Fadilah Rajab

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8 Citations (Scopus)

Abstract

Food intake biomarkers (FIBs) can reflect the intake of specific foods or dietary patterns (DP). DP for successful aging (SA) has been widely studied. However, the relationship between SA and DP characterized by FIBs still needs further exploration as the candidate markers are scarce. Thus, 1H-nuclear magnetic resonance (1 H-NMR)-based urine metabolomics profiling was conducted to identify potential metabolites which can act as specific markers representing DP for SA. Urine sample of nine subjects from each three aging groups, SA, usual aging (UA), and mild cognitive impairment (MCI), were analyzed using the1 H-NMR metabolomic approach. Principal components analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) were applied. The association between SA urinary metabolites and its DP was assessed using the Pearson’s correlation analysis. The urine of SA subjects was characterized by the greater excretion of citrate, taurine, hypotaurine, serotonin, and melatonin as compared to UA and MCI. These urinary metabolites were associated with alteration in “taurine and hypotaurine metabolism” and “tryptophan metabolism” in SA elderly. Urinary serotonin (r = 0.48, p < 0.05) and melatonin (r = 0.47, p < 0.05) were associated with oat intake. These findings demonstrate that a metabolomic approach may be useful for correlating DP with SA urinary metabolites and for further understanding of SA development.

Original languageEnglish
Article number2900
Number of pages17
JournalNutrients
Volume12
Issue number10
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes

Keywords

  • H-NMR
  • Biomarker
  • Metabolomic profiling
  • Older adult
  • Partial least-squares discriminant analysis
  • Principal component analysis
  • Successful aging

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