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Fecal and urinary NMR-based metabolomics unveil an aging signature in mice

  • Riccardo Calvani
  • , E. Brasili
  • , G. Pratico
  • , G. Capuani
  • , A. Tomassini
  • , F. Marini
  • , F. Sciubba
  • , A. Finamore
  • , M. Roselli
  • , Emanuele Marzetti
  • , A. Miccheli*
  • *Autore corrispondente per questo lavoro
  • Council for Agricultural Research and Economics
  • University of Rome La Sapienza
  • Institute for Polymers

Risultato della ricerca: Contributo in rivistaArticolopeer review

Abstract

Background: Aging is characterized by derangements in multiple metabolic pathways that progressively constrict the homeostatic reserve (homeostenosis). The signature of metabolic alterations that accompany aging can be retrieved through the metabolomic profiling of biological fluids. Objective: To characterize the age-related changes in urinary and fecal metabolic profiles of BALB/c mice through a 1H nuclear magnetic resonance (NMR)-based metabolomic approach. Methods: Young (n=19) and old (n=13) male BALB/c mice were fed ad libitum standard laboratory chow. Twenty four-hour feces and urine were collected using metabolic cages and analyzed by high-resolution 1H NMR spectroscopy combined with multivariate statistical analyses. Results: An age-related metabolic phenotype was detected both in urine and feces. The metabolic signature of aging consisted of changes in levels of metabolites associated with amino acid metabolism, tricarboxylic acid cycle, tryptophan-nicotinamide adenine dinucleotide pathway, and host-microbiota metabolic axis. Conclusions: Our 1H NMR-based metabolomic approach was able to characterize the effect of age on urinary and fecal metabotypes. The implementation of this analytical strategy may increase our understanding of the metabolic alterations involved in the aging process and assist in the design of anti-aging interventions.© 2013 Elsevier Inc.
Lingua originaleInglese
pagine (da-a)5-11
Numero di pagine7
RivistaExperimental Gerontology
Volume49
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - 2014

All Science Journal Classification (ASJC) codes

  • Biochimica
  • Invecchiamento
  • Biologia Molecolare
  • Genetica
  • Endocrinologia
  • Biologia Cellulare

Keywords

  • Metabolic footprint
  • Metabolic profiling
  • Metabolome
  • Methylnicotinamide
  • Senescence

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