Sobolev Anatoly P, Mannina Luisa, Costanzo Manuela, Cisterna Barbara, Malatesta Manuela, Zancanaro Carlo
Magnetic Resonance Laboratory "Annalaura Segre", Institute of Chemical Methodologies, National Research Council, via Salaria km 29.300, I-00015 Monterotondo, Rome, Italy.
Magnetic Resonance Laboratory "Annalaura Segre", Institute of Chemical Methodologies, National Research Council, via Salaria km 29.300, I-00015 Monterotondo, Rome, Italy; Department of Drug Chemistry and Technologies, Sapienza University of Rome, Piazzale Aldo Moro 5, I-00185 Rome, Italy.
Exp Gerontol. 2017 Jun;92:23-27. doi: 10.1016/j.exger.2017.03.005. Epub 2017 Mar 7.
The composition of skeletal muscle was investigated in the quadriceps and gastrocnemius muscle of 13-month-old (n=15) and 23-month-old (n=19) mice by means of high-resolution nuclear magnetic resonance (NMR) spectroscopy. Muscle specimens were dissected out, frozen in liquid nitrogen and extracted in chloroform/methanol, and proton NMR spectra of the resulting aqueous and organic fractions were obtained at 600MHz. Several metabolites were unambiguously identified and quantified. Multivariate ANOVA (factor: age, muscle, age×muscle) showed a significant main effect of age (P=0.031) on the amount of muscle metabolites, suggesting that the aging process affects the composition of skeletal muscle. Univariate tests showed significant differences for lactate, acetate, taurine, and uridine in 13- and 23-month-old mice. A trend for the effect of muscle (quadriceps vs. gastrocnemius; P=0.128) was also found. No significant muscle x age interaction was present. When the same data were used in principal component analysis, the first two principal components separated muscles (quadriceps and gastrocnemius) and ages (13- and 23-month-old), explaining 66.7% of total variance. The results of this pilot study show that high-resolution NMR spectroscopy is able to detect age-associated changes in skeletal muscle metabolites, thereby paving the way to future detailed metabolomics investigation in sarcopenia of aging.
通过高分辨率核磁共振（NMR）光谱法，对13月龄（n = 15）和23月龄（n = 19）小鼠的股四头肌和腓肠肌的骨骼肌组成进行了研究。解剖出肌肉标本，在液氮中冷冻，并用氯仿/甲醇提取，然后在600MHz下获得所得水相和有机相部分的质子NMR光谱。明确鉴定并定量了几种代谢物。多因素方差分析（因素：年龄、肌肉、年龄×肌肉）显示年龄对肌肉代谢物含量有显著的主效应（P = 0.031），这表明衰老过程会影响骨骼肌的组成。单因素检验显示，13月龄和23月龄小鼠的乳酸、乙酸、牛磺酸和尿苷存在显著差异。还发现了肌肉（股四头肌与腓肠肌；P = 0.128）效应的趋势。不存在显著的肌肉×年龄交互作用。当在主成分分析中使用相同数据时，前两个主成分将肌肉（股四头肌和腓肠肌）和年龄（13月龄和23月龄）区分开来，解释了总方差的66.7%。这项初步研究的结果表明，高分辨率NMR光谱能够检测骨骼肌代谢物中与年龄相关的变化，从而为未来衰老性肌肉减少症的详细代谢组学研究铺平道路。
