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

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• 作者：Riccardo Calvani ; Elisa Brasili ; Giulia Pratic貌 ; Giorgio Capuani ; Alberta Tomassini ; Federico Marini ; Fabio Sciubba ; Alberto Finamore ; Marianna Roselli ; Emanuele Marzetti ; Alfredo Miccheli
• 关键词：1MNA ; 1-methylnicotinamide ; AUROC ; Area Under the ROC curve ; DQ2 ; Discriminant Q2 ; LV ; Latent Variable ; MS ; mass spectrometry ; NMR ; nuclear magnetic resonance ; NNMT ; nicotinamide N-methyltransferase ; NMC ; Number of Misclassification ; PBS ; phosphate buffered saline ; PLS-DA ; Partial Least Squares-Discriminant Analysis ; RP ; Rank Product ; SAM ; S-adenosylmethionine ; TCA ; tricarboxyl acid cycle ; THP ; Tamm&ndash ; Horsfall protein ; TSP ; (3-trimethylsilyl)propionic-(2 ; 2 ; 3 ; 3-d4)-acid ; VIP ; variable importa
• 刊名：Experimental Gerontology
• 出版年：January, 2014
• 年：2014
• 卷：49
• 期：Complete
• 页码：5-11
• 全文大小：437 K

文摘

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.