Metabolic Predictors of Cardiorespiratory Fitness Responsiveness to Continuous Endurance and High-Intensity Interval Training Programs: The TIMES Study-A Randomized Controlled Trial.

IF 3.4 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Metabolites Pub Date : 2024-09-23 DOI:10.3390/metabo14090512
Alex Castro, Antonio Gilberto Ferreira, Aparecida Maria Catai, Matheus Alejandro Bolina Amaral, Claudia Regina Cavaglieri, Mara Patrícia Traina Chacon-Mikahil
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引用次数: 0

Abstract

Background/Objectives: Cardiorespiratory fitness (CRF) levels significantly modulate the risk of cardiometabolic diseases, aging, and mortality. Nevertheless, there is a substantial interindividual variability in CRF responsiveness to a given standardized exercise dose despite the type of training. Predicting the responsiveness to regular exercise has the potential to contribute to personalized exercise medicine applications. This study aimed to identify predictive biomarkers for the classification of CRF responsiveness based on serum and intramuscular metabolic levels before continuous endurance training (ET) or high-intensity interval training (HIIT) programs using a randomized controlled trial. Methods: Forty-three serum and seventy intramuscular (vastus lateralis) metabolites were characterized and quantified via proton nuclear magnetic resonance (1H NMR), and CRF levels (expressed in METs) were measured in 70 sedentary young men (age: 23.7 ± 3.0 years; BMI: 24.8 ± 2.5 kg·m-2), at baseline and post 8 weeks of the ET, HIIT, and control (CO) periods. A multivariate binary logistic regression model was used to classify individuals at baseline as Responders or Non-responders to CRF gains after the training programs. Results: CRF responses ranged from 0.9 to 3.9 METs for ET, 1.1 to 4.7 METs for HIIT, and -0.9 to 0.2 METs for CO. The frequency of Responder/Non-responder individuals between ET (76.7%/23.3%) and HIIT (90.0%/10.0%) programs was similar (p = 0.166). The model based on serum O-acetylcarnitine levels [OR (odds ratio) = 4.72, p = 0.012] classified Responder/Non-responders individuals to changes in CRF regardless of the training program with 78.0% accuracy (p = 0.006), while the intramuscular model based on creatinine levels (OR = 4.53, p = 0.0137) presented 72.3% accuracy (p = 0.028). Conclusions: These results highlight the potential value of serum and intramuscular metabolites as biomarkers for the classification of CRF responsiveness previous to different aerobic training programs.

持续耐力和高强度间歇训练计划对心肺功能响应的代谢预测因素:TIMES 研究--随机对照试验》。
背景/目的:心肺功能(CRF)水平可显著调节心血管代谢疾病、衰老和死亡风险。然而,尽管训练类型不同,但个体间对特定标准化运动剂量的 CRF 反应性存在很大差异。预测对常规运动的反应性可能有助于个性化运动医学的应用。本研究旨在通过一项随机对照试验,根据连续耐力训练(ET)或高强度间歇训练(HIIT)项目前的血清和肌肉内代谢水平,确定CRF反应性分类的预测性生物标志物。方法:通过质子核磁共振(1H NMR)对 70 名久坐不动的年轻男性(年龄:23.7 ± 3.0 岁;体重指数:24.8 ± 2.5 kg-m-2)的 43 种血清和 70 种肌内(侧肌)代谢物进行表征和量化,并在基线和 8 周的 ET、HIIT 和对照(CO)期后测量 CRF 水平(以 METs 表示)。采用多变量二元逻辑回归模型将基线时的个体划分为对训练计划后CRF增长有反应者和无反应者。结果显示ET 的 CRF 反应介于 0.9 至 3.9 METs 之间,HIIT 的 CRF 反应介于 1.1 至 4.7 METs 之间,CO 的 CRF 反应介于 -0.9 至 0.2 METs 之间。在 ET(76.7%/23.3%)和 HIIT(90.0%/10.0%)项目中,应答者/非应答者的频率相似(p = 0.166)。基于血清 O-乙酰肉碱水平的模型[OR(几率比)= 4.72,p = 0.012]将响应者/非响应者与 CRF 变化进行分类,准确率为 78.0%(p = 0.006),而基于肌酐水平的肌内模型(OR = 4.53,p = 0.0137)的准确率为 72.3%(p = 0.028)。结论这些结果凸显了血清和肌肉内代谢物作为生物标志物的潜在价值,可用于对不同有氧训练计划前的 CRF 反应性进行分类。
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来源期刊
Metabolites
Metabolites Biochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
5.70
自引率
7.30%
发文量
1070
审稿时长
17.17 days
期刊介绍: Metabolites (ISSN 2218-1989) is an international, peer-reviewed open access journal of metabolism and metabolomics. Metabolites publishes original research articles and review articles in all molecular aspects of metabolism relevant to the fields of metabolomics, metabolic biochemistry, computational and systems biology, biotechnology and medicine, with a particular focus on the biological roles of metabolites and small molecule biomarkers. Metabolites encourages scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on article length. Sufficient experimental details must be provided to enable the results to be accurately reproduced. Electronic material representing additional figures, materials and methods explanation, or supporting results and evidence can be submitted with the main manuscript as supplementary material.
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