{"title":"Associations of strength indices and cycling economy in young adults","authors":"J. Feuerbacher, Moritz Schumann","doi":"10.1515/teb-2024-0008","DOIUrl":"https://doi.org/10.1515/teb-2024-0008","url":null,"abstract":"\u0000 \u0000 \u0000 Cycling economy is associated with muscle strength in athletes. However, the relationship between strength capacity (i.e. maximal and explosive strength) and cycling economy in previously untrained but healthy individuals remains unclear. Therefore, this study aimed to assess the associations between cycling economy and strength performance in a population of recreationally active but untrained healthy individuals.\u0000 \u0000 \u0000 \u0000 A total of 155 recreationally active individuals (95 males and 60 females) were included. Strength capacity was assessed through an incremental one-repetition maximum test, from which the one-repetition maximum, mean propulsive velocity, and mean propulsive power were derived as strength indices. Cycling economy was assessed using a step protocol on a cycle ergometer and gross oxygen cost and caloric unit cost were determined at submaximal intensities.\u0000 \u0000 \u0000 \u0000 Marginal R2 ranged between 0.013 and 0.062 for the gross oxygen cost and between 0.022 and 0.103 for the gross caloric unit cost, respectively. Greater cycling economy is related to higher strength levels. However, the relationship is relatively weak, explaining only 1.3–6.2 % of the variance in gross oxygen cost and 2.2–10.3 % of the variance in gross caloric unit cost.\u0000 \u0000 \u0000 \u0000 Greater cycling economy in recreationally active males and females is related to higher strength levels (i.e. one-repetition maximum, mean propulsive velocity, mean propulsive power).\u0000","PeriodicalId":519893,"journal":{"name":"Translational exercise biomedicine","volume":"16 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel J Wilkinson, Hannah Crossland, Philip J Atherton
{"title":"Metabolomic and proteomic applications to exercise biomedicine.","authors":"Daniel J Wilkinson, Hannah Crossland, Philip J Atherton","doi":"10.1515/teb-2024-2006","DOIUrl":"https://doi.org/10.1515/teb-2024-2006","url":null,"abstract":"<p><strong>Objectives: </strong>'OMICs encapsulates study of scaled data acquisition, at the levels of DNA, RNA, protein, and metabolite species. The broad objectives of OMICs in biomedical exercise research are multifarious, but commonly relate to biomarker development and understanding features of exercise adaptation in health, ageing and metabolic diseases.</p><p><strong>Methods: </strong>This field is one of exponential technical (i.e., depth of feature coverage) and scientific (i.e., in health, metabolic conditions and ageing, multi-OMICs) progress adopting <i>targeted</i> and <i>untargeted</i> approaches.</p><p><strong>Results: </strong>Key findings in exercise biomedicine have led to the identification of OMIC features linking to heritability or adaptive responses to exercise e.g., the forging of GWAS/proteome/metabolome links to cardiovascular fitness and metabolic health adaptations. The recent addition of stable isotope tracing to proteomics ('dynamic proteomics') and metabolomics ('fluxomics') represents the next phase of state-of-the-art in 'OMICS.</p><p><strong>Conclusions: </strong>These methods overcome limitations associated with point-in-time 'OMICs and can be achieved using substrate-specific tracers or deuterium oxide (D<sub>2</sub>O), depending on the question; these methods could help identify how individual protein turnover and metabolite flux may explain exercise responses. We contend application of these methods will shed new light in translational exercise biomedicine.</p>","PeriodicalId":519893,"journal":{"name":"Translational exercise biomedicine","volume":"1 1","pages":"9-22"},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11036890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140862270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}