PO-201老化会减弱肌肉和血清代谢谱中有氧能力的影响,但对白色脂肪组织没有影响

Haihui Zhuang, S. Karvinen, Xiaobo Zhang, Xiaoyang Wang, X. Ojanen, H. Kainulainen, Sulin Cheng
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The effect of aerobic capacity on metabolic profile was assessed from 9 months old young rats (HCR-Y and LCR-Y), while the effect of aging on the metabolic profile in different capacity rats was determined comparing 9 months to 21 months old rats (HCR-O and LCR-O). Nuclear magnetic resonance (NMR) spectroscopy was performed to detect the metabolomics of WAT, muscle and serum. Partial least-squares-discriminant analysis (PLS-DA) was used for pattern recognition between HCR-Y and LCR-Y and between HCR-O and LCR-O. Metabolites with variable influence on projection (VIP) >1.0 and p<0.05 were classified as significantly different metabolites between groups. Spearman correlation was used to assess the metabolic interactions between white adipose tissue (WAT), muscle and serum. \nResults  HCR-Y rats had significantly higher skeletal muscle mass-to-body mass ratio (p<0.001), while lower body mass (p<0.001), fat mass (p<0.001), skeletal muscle mass (p=0.035) and fat mass to body mass ratio (p=0.004) than LCR-Y rats. The running capacity of HCR-Y rats was 132.7% (best running speed) better than LCR-Y rats (p<0.001). However, with age, the difference between body compositions between the two capacity groups became insignificant. HCR-O only had significantly lower body mass than the LCR-O (p=0.02). Running capacity (p=0.06) was 86.4% (best running speed) higher in the HCR-O rats than that of the LCR-O rats. PLS-DA revealed marked effects of aerobic capacity on metabolic profile in all three tissue types between HCR-Y and LCR-Y. The metabolic profile classification and prediction was best (i.e. sharper) in muscle than in WAT and serum. In addition, muscle and serum contained more significantly different metabolites than WAT in HCR-Y than in LCR-Y. Pathway analysis of the significantly different metabolites between HCR-Y and LCR-Y revealed that all the pathways belong to the lipid metabolism and amino acid metabolism in muscle while in serum it is only amino acid metabolism. However, in the case of the old groups, the PLS-DA gave reversed results. It revealed that WAT performed best in terms of classification and prediction of metabolites between HCR-O and LCR-O and had the most significantly different metabolites out of the three tissue types. The significantly different metabolites’ pathways belong to lipid metabolism in WAT. 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引用次数: 0

摘要

目的有氧能力是许多不同患者群体发病率和死亡率的定量预测指标。而老化是影响有氧能力的主要因素。本研究旨在评估有氧能力和衰老对大鼠代谢谱的影响,并探讨白色脂肪组织(WAT)、肌肉和血清之间的代谢相互作用。方法在本研究中,我们选择了不同的大鼠模型(高容量跑者(HCR)和低容量跑者(LCR))。9个月后处死部分大鼠,21个月处死部分大鼠。以9月龄幼龄大鼠(HCR-Y和LCR-Y)为研究对象,研究有氧能力对代谢谱的影响;以9月龄和21月龄大鼠(HCR-O和LCR-O)为研究对象,研究衰老对不同有氧能力大鼠代谢谱的影响。采用核磁共振(NMR)谱法检测WAT、肌肉和血清代谢组学。采用偏最小二乘判别分析(PLS-DA)进行HCR-Y与LCR-Y、HCR-O与LCR-O之间的模式识别。对投影(VIP) bbb1.0和p<0.05有不同影响的代谢物被归为组间差异显著的代谢物。采用Spearman相关性评估白色脂肪组织(WAT)、肌肉和血清之间的代谢相互作用。结果HCR-Y大鼠骨骼肌质量与体质量比显著高于LCR-Y大鼠(p<0.001),体质量(p<0.001)、脂肪质量(p<0.001)、骨骼肌质量(p=0.035)、脂肪质量与体质量比显著低于LCR-Y大鼠(p=0.004)。HCR-Y大鼠的跑速比LCR-Y大鼠高132.7%(最佳跑速)(p<0.001)。然而,随着年龄的增长,两个能力组之间的身体成分差异变得不显著。HCR-O仅显著低于LCR-O (p=0.02)。HCR-O大鼠的最佳跑速比LCR-O大鼠高86.4% (p=0.06)。PLS-DA显示有氧能力对HCR-Y和LCR-Y之间所有三种组织类型代谢谱的显著影响。与WAT和血清相比,肌肉代谢谱的分类和预测效果最好(即更清晰)。此外,肌肉和血清中HCR-Y代谢产物与WAT的差异显著高于LCR-Y。通过对HCR-Y和LCR-Y代谢产物的Pathway分析发现,HCR-Y和LCR-Y代谢产物在肌肉中均属于脂质代谢和氨基酸代谢,而在血清中仅为氨基酸代谢。然而,在老年组的情况下,PLS-DA给出了相反的结果。结果表明,WAT在HCR-O和LCR-O之间的代谢物分类和预测方面表现最好,并且在三种组织类型中代谢物差异最显著。WAT中代谢产物的代谢途径明显不同,属于脂质代谢。在评估不同组织类型之间的代谢相互作用时,年轻组和老年组HCR和LCR大鼠之间所有显著不同的代谢物均与三种组织中的一种或多种代谢物中度或强相关(Spearman相关系数为0.45-0.9)。结论在本研究中,我们评估了不同有氧能力的青年和老年大鼠的代谢谱和WAT、肌肉和血清的体组成。我们发现,有氧能力极大地影响了幼鼠的身体组成和肌肉和血清中的代谢谱,但这种影响随着年龄的增长而减弱。此外,对WAT代谢产物影响最大的是衰老,而不是有氧能力。这表明WAT在老化过程中的作用比以前认为的更重要。
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PO-201 Aging attenuates the effect of aerobic capacity in muscle and serum metabolic profile but not in white adipose tissue
Objective Aerobic capacity is a quantitative predictor of the morbidity and mortality in many diverse patient populations. While aging is the main factor affecting aerobic capacity. The present study aimed to assess the effect of aerobic capacity and aging on metabolic profile in rats and to investigate the metabolic interactions between white adipose tissue (WAT), muscle and serum. Methods In this study, we used rat models that were selectively bred to differ in maximal running capacity (High capacity runners (HCR) and Low capacity runners (LCR)). Part of the rats were sacrificed after 9 months and the rest at 21 months. The effect of aerobic capacity on metabolic profile was assessed from 9 months old young rats (HCR-Y and LCR-Y), while the effect of aging on the metabolic profile in different capacity rats was determined comparing 9 months to 21 months old rats (HCR-O and LCR-O). Nuclear magnetic resonance (NMR) spectroscopy was performed to detect the metabolomics of WAT, muscle and serum. Partial least-squares-discriminant analysis (PLS-DA) was used for pattern recognition between HCR-Y and LCR-Y and between HCR-O and LCR-O. Metabolites with variable influence on projection (VIP) >1.0 and p<0.05 were classified as significantly different metabolites between groups. Spearman correlation was used to assess the metabolic interactions between white adipose tissue (WAT), muscle and serum. Results  HCR-Y rats had significantly higher skeletal muscle mass-to-body mass ratio (p<0.001), while lower body mass (p<0.001), fat mass (p<0.001), skeletal muscle mass (p=0.035) and fat mass to body mass ratio (p=0.004) than LCR-Y rats. The running capacity of HCR-Y rats was 132.7% (best running speed) better than LCR-Y rats (p<0.001). However, with age, the difference between body compositions between the two capacity groups became insignificant. HCR-O only had significantly lower body mass than the LCR-O (p=0.02). Running capacity (p=0.06) was 86.4% (best running speed) higher in the HCR-O rats than that of the LCR-O rats. PLS-DA revealed marked effects of aerobic capacity on metabolic profile in all three tissue types between HCR-Y and LCR-Y. The metabolic profile classification and prediction was best (i.e. sharper) in muscle than in WAT and serum. In addition, muscle and serum contained more significantly different metabolites than WAT in HCR-Y than in LCR-Y. Pathway analysis of the significantly different metabolites between HCR-Y and LCR-Y revealed that all the pathways belong to the lipid metabolism and amino acid metabolism in muscle while in serum it is only amino acid metabolism. However, in the case of the old groups, the PLS-DA gave reversed results. It revealed that WAT performed best in terms of classification and prediction of metabolites between HCR-O and LCR-O and had the most significantly different metabolites out of the three tissue types. The significantly different metabolites’ pathways belong to lipid metabolism in WAT. When assessing the metabolic interaction between different tissue types, all significantly different metabolites between HCR and LCR rats in young and old groups were moderately or strongly correlated (Spearman correlation between 0.45-0.9) with one or more metabolites in any of the three tissues. Conclusions In this study, we assessed the metabolic profile and body composition of WAT, muscle and serum in young and old rats with different aerobic capacities. We found that aerobic capacity greatly impacts body composition and the metabolic profile in muscle and serum in young rats, however the impact is attenuated with age. In addition, it is aging and not aerobic capacity that had the most influence on WAT metabolites. This suggest that WAT has more important role in aging process than previously assumed.
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