Salivary Metabolite Variation After High-Intensity Rowing Training and Potential Biomarker Screening for Exercise-Induced Muscle Damage.

IF 3.4 3区生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Metabolites Pub Date : 2025-06-16 DOI:10.3390/metabo15060405

Yue Yi, Junjie Ding, Baoguo Wang, Yuxian Li, Liming Wang, Shumin Bo, Qiongqiong Ren, Aiqin Luo

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引用次数: 0

Abstract

Background: Exercise-induced muscle damage (EIMD) is the most common health risk in training. So far, EIMD diagnosis predominantly relies on blood biochemical analysis or medical imaging. EIMD prediction by using saliva shows great prospects in public fitness.

Methods: A total of 18 participants performed high-intensity rowing training. Blood biochemical indicator and pain analyses indicated EIMD occurrence. Pseudo-targeted metabolomics techniques were utilized to analyze changes in salivary metabolites after exercise.

Results: A total of 43 salivary metabolites significantly increased while 31 salivary metabolites significantly decreased after exercise. The upregulated metabolites were related to hormone secretion, antioxidation, and muscle repair. A partial least squares discriminant analysis model was established, and three potential salivary biomarkers for EIMD prediction were screened. The sensitivity and specificity of single biomarkers achieved more than 88.9% and 94.4% in classification of EIMD occurrence, respectively. The accuracy of classification increased to ~100% with multiple metabolites.

Conclusion: Salivary metabolites significantly changed after high-intensity rowing training and EIMD occurrence. Some salivary metabolites exhibited similar trends with blood biochemical indicators. Salivary biomarkers have great prospects in EIMD prediction, and better performance was achieved with multiple salivary metabolites.

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高强度划船训练后唾液代谢物的变化和运动引起的肌肉损伤的潜在生物标志物筛选。

背景：运动诱发性肌肉损伤（EIMD）是训练中最常见的健康风险。目前，EIMD的诊断主要依靠血液生化分析或医学影像。唾液预测EIMD在公共健身领域具有广阔的应用前景。方法：18名参与者进行高强度划船训练。血液生化指标及疼痛分析提示发生EIMD。利用伪靶向代谢组学技术分析运动后唾液代谢物的变化。结果：运动后唾液代谢产物有43种显著升高，31种显著降低。上调的代谢物与激素分泌、抗氧化和肌肉修复有关。建立偏最小二乘判别分析模型，筛选3种可能用于预测EIMD的唾液生物标志物。单一生物标志物对EIMD的敏感性和特异性分别达到了88.9%和94.4%以上。多种代谢物的分类准确率提高到~100%。结论：高强度划船训练和EIMD发生后，唾液代谢物发生显著变化。一些唾液代谢物与血液生化指标表现出相似的变化趋势。唾液生物标志物在EIMD预测中具有广阔的应用前景，多种唾液代谢物的预测效果更好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.