Suppr超能文献

慢性运动对血浆代谢物谱的影响。

Plasma Metabolite Profiles in Response to Chronic Exercise.

机构信息

School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, CANADA.

Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

出版信息

Med Sci Sports Exerc. 2018 Jul;50(7):1480-1486. doi: 10.1249/MSS.0000000000001594.

Abstract

PURPOSE

High-throughput profiling of metabolic status (metabolomics) allows for the assessment of small-molecule metabolites that may participate in exercise-induced biochemical pathways and corresponding cardiometabolic risk modification. We sought to describe the changes in a diverse set of plasma metabolite profiles in patients undergoing chronic exercise training and assess the relationship between metabolites and cardiometabolic response to exercise.

METHODS

A secondary analysis was performed in 216 middle-age abdominally obese men and women (mean ± SD, 52.4 ± 8.0 yr) randomized into one of four groups varying in exercise amount and intensity for 6-month duration: high amount high intensity, high amount low intensity, low amount low intensity, and control. One hundred forty-seven metabolites were profiled by liquid chromatography-tandem mass spectrometry.

RESULTS

No significant differences in metabolite changes between specific exercise groups were observed; therefore, subsequent analyses were collapsed across exercise groups. There were no significant differences in metabolite changes between the exercise and control groups after 24 wk at a Bonferroni-adjusted statistical significance (P < 3.0 × 10). Seven metabolites changed in the exercise group compared with the control group at P < 0.05. Changes in several metabolites from distinct metabolic pathways were associated with change in cardiometabolic risk traits, and three baseline metabolite levels predicted changes in cardiometabolic risk traits.

CONCLUSIONS

Metabolomic profiling revealed no significant plasma metabolite changes between exercise and control after 24 wk at Bonferroni significance. However, we identified circulating biomarkers that were predictive or reflective of improvements in cardiometabolic traits in the exercise group.

摘要

目的

高通量代谢状态分析(代谢组学)可评估可能参与运动诱导的生化途径和相应的心血管代谢风险改善的小分子代谢物。我们旨在描述接受慢性运动训练的患者中一系列不同的血浆代谢物谱的变化,并评估代谢物与运动对心血管代谢的反应之间的关系。

方法

对 216 名中年腹型肥胖男性和女性(平均 ± SD,52.4 ± 8.0 岁)进行了二次分析,这些患者随机分为四组,运动时间和强度不同,持续 6 个月:高量高强度、高量低强度、低量低强度和对照组。采用液相色谱-串联质谱法对 147 种代谢物进行了分析。

结果

在特定运动组之间未观察到代谢物变化的显着差异;因此,随后的分析是在整个运动组之间进行的。在经过 24 周的 Bonferroni 调整统计学显着性(P < 3.0 × 10)后,运动组和对照组之间的代谢物变化没有显着差异。与对照组相比,运动组中有 7 种代谢物在 P < 0.05 时发生变化。来自不同代谢途径的几种代谢物的变化与心血管代谢风险特征的变化相关,并且三个基线代谢物水平预测了心血管代谢风险特征的变化。

结论

代谢组学分析显示,在经过 24 周的 Bonferroni 显着性后,运动组和对照组之间的血浆代谢物没有显着变化。然而,我们确定了循环生物标志物,这些标志物可预测或反映运动组中心血管代谢特征的改善。

相似文献

1
Plasma Metabolite Profiles in Response to Chronic Exercise.
Med Sci Sports Exerc. 2018 Jul;50(7):1480-1486. doi: 10.1249/MSS.0000000000001594.
2
Depot-Specific Adipose Tissue Metabolite Profiles and Corresponding Changes Following Aerobic Exercise.
Front Endocrinol (Lausanne). 2018 Dec 11;9:759. doi: 10.3389/fendo.2018.00759. eCollection 2018.
4
Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes.
PLoS One. 2016 Feb 10;11(2):e0148361. doi: 10.1371/journal.pone.0148361. eCollection 2016.
5
Effect of chronic exercise in healthy young male adults: a metabolomic analysis.
Cardiovasc Res. 2021 Jan 21;117(2):613-622. doi: 10.1093/cvr/cvaa051.
6
Metabolic Architecture of Acute Exercise Response in Middle-Aged Adults in the Community.
Circulation. 2020 Nov 17;142(20):1905-1924. doi: 10.1161/CIRCULATIONAHA.120.050281. Epub 2020 Sep 15.
8
Development of chemical isotope labeling liquid chromatography mass spectrometry for silkworm hemolymph metabolomics.
Anal Chim Acta. 2016 Oct 26;942:1-11. doi: 10.1016/j.aca.2016.06.004. Epub 2016 Jun 7.
9
Targeted High Performance Liquid Chromatography Tandem Mass Spectrometry-based Metabolomics differentiates metabolic syndrome from obesity.
Exp Biol Med (Maywood). 2017 Apr;242(7):773-780. doi: 10.1177/1535370217694098. Epub 2017 Jan 1.
10
Urbanization in China is associated with pronounced perturbation of plasma metabolites.
Metabolomics. 2020 Sep 19;16(10):103. doi: 10.1007/s11306-020-01724-9.

引用本文的文献

1
Acute changes in urinary metabolites: vinyasa yoga compared to cycle ergometer exercise.
Front Sports Act Living. 2025 Apr 16;7:1556989. doi: 10.3389/fspor.2025.1556989. eCollection 2025.
2
Yeast hydrolysate and exercise ameliorate high-fat diet-induced obesity in C57BL/6 mice.
BMC Complement Med Ther. 2025 Apr 3;25(1):126. doi: 10.1186/s12906-025-04856-4.
3
Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation.
Heliyon. 2025 Jan 23;11(3):e42197. doi: 10.1016/j.heliyon.2025.e42197. eCollection 2025 Feb 15.
5
The effect of high-intensity interval training on type 2 diabetic muscle: A metabolomics-based study.
Heliyon. 2024 Jul 20;10(15):e34917. doi: 10.1016/j.heliyon.2024.e34917. eCollection 2024 Aug 15.
6
Exercise Training Reduces the Inflammatory Response and Promotes Intestinal Mucosa-Associated Immunity in Lynch Syndrome.
Clin Cancer Res. 2023 Nov 1;29(21):4361-4372. doi: 10.1158/1078-0432.CCR-23-0088.
7
Exercise Metabolome: Insights for Health and Performance.
Metabolites. 2023 May 26;13(6):694. doi: 10.3390/metabo13060694.
8
Taurine deficiency as a driver of aging.
Science. 2023 Jun 9;380(6649):eabn9257. doi: 10.1126/science.abn9257.

本文引用的文献

1
Effects of intensity and amount of exercise on measures of insulin and glucose: Analysis of inter-individual variability.
PLoS One. 2017 May 11;12(5):e0177095. doi: 10.1371/journal.pone.0177095. eCollection 2017.
2
Metabolite profiling identifies anandamide as a biomarker of nonalcoholic steatohepatitis.
JCI Insight. 2017 May 4;2(9). doi: 10.1172/jci.insight.92989.
4
Aptamer-Based Proteomic Profiling Reveals Novel Candidate Biomarkers and Pathways in Cardiovascular Disease.
Circulation. 2016 Jul 26;134(4):270-85. doi: 10.1161/CIRCULATIONAHA.116.021803.
5
Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis.
Diabetes Care. 2016 May;39(5):833-46. doi: 10.2337/dc15-2251.
7
Metabolomic Profiles of Body Mass Index in the Framingham Heart Study Reveal Distinct Cardiometabolic Phenotypes.
PLoS One. 2016 Feb 10;11(2):e0148361. doi: 10.1371/journal.pone.0148361. eCollection 2016.
8
Understanding the Cellular and Molecular Mechanisms of Physical Activity-Induced Health Benefits.
Cell Metab. 2015 Jul 7;22(1):4-11. doi: 10.1016/j.cmet.2015.05.011. Epub 2015 Jun 11.
10
Associations of plasma kynurenines with risk of acute myocardial infarction in patients with stable angina pectoris.
Arterioscler Thromb Vasc Biol. 2015 Feb;35(2):455-62. doi: 10.1161/ATVBAHA.114.304674. Epub 2014 Dec 18.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验