Xiaoyuan Guo, Zhibo Zhou, Yutong Wang, Huishan Sun, Shanshan Liu, Yiling He, Hanze Du, Hongbo Yang, Huijuan Zhu, Mei Zhang, Bo Ban, Shi Chen, Hui Pan
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引用次数: 0
Abstract
Background: While exercise training has been shown to improve various aspects of adolescent metabolic health, such as blood pressure, insulin resistance, and dyslipidemia, the underlying metabolic mechanisms remain poorly understood. No study has examined the metabolomic changes to identify potential mechanisms and explore biomarkers that predict exercise benefits in adolescents.
Methods: We used propensity score matching to select 54 pairs of adolescents (ages 12-14 years) with and without long-term exercise training. Body mass index (BMI), waist circumference (WC) and metabolic indicators including blood pressure, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and triglycerides (TGs) were assessed at enrollment and 1-year follow-up. Untargeted metabolomics was analyzed at enrollment. The associations between metabolites and clinical metabolic indicators were tested.
Results: Metabolomic analysis revealed 73 differential metabolites between exercise and non-exercise groups, with 59 metabolites associated with metabolic health indicators. Among them, a group of eicosanoids were consistently upregulated and negatively associated with diastolic blood pressure (DBP), HOMA-IR, or TGs, suggesting their potential roles in exercise-related improvements. Receiver operating characteristic analysis showed better predictive performance for exercise benefits on DBP and TGs using papaverine and azelaic acid compared to BMI and WC.
Conclusions: Adolescents with long-term exercise are associated with improved metabolic health. Metabolomic profiles provide novel insights into the underlying mechanisms and offer useful biomarkers for predicting exercise benefits.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.