Task: Intent Identification
Input (English): Targeted metabolomic and transcriptomic approaches were used to evaluate the relationship between skeletal muscle metabolite signatures, gene expression profiles and clinical outcomes in response to various exercise training interventions. We hypothesised that changes in mitochondrial metabolic intermediates would predict improvements in clinical risk factors, thereby offering novel insights into potential mechanisms.', 'Subjects at risk of metabolic disease were randomised to 6\xa0months of inactivity or one of five aerobic and/or resistance training programmes (n\u2009=\u2009112). Pre/post-intervention assessments included cardiorespiratory fitness ([Formula: see text]), serum triacylglycerols (TGs) and insulin sensitivity (SI). In this secondary analysis, muscle biopsy specimens were used for targeted mass spectrometry-based analysis of metabolic intermediates and measurement of mRNA expression of genes involved in metabolism.', 'Exercise regimens with the largest energy expenditure produced robust increases in muscle concentrations of even-chain acylcarnitines (median 37-488%), which correlated positively with increased expression of genes involved in muscle uptake and oxidation of fatty acids. Along with free carnitine, the aforementioned acylcarnitine metabolites were related to improvements in [Formula: see text], TGs and SI (R\u2009=\u20090.20-0.31, p\u2009<\u20090.05). Muscle concentrations of the tricarboxylic acid cycle intermediates succinate and succinylcarnitine (R\u2009=\u20090.39 and 0.24, p\u2009<\u20090.05) emerged as the strongest correlates of SI.
Output (English): 1