98%
921
2 minutes
20
This study aimed (1) to assess the validity of a modified method (M) based on heart rate (HR)-oxygen uptake (VO) regression functions to calculate total energy costs (W) and aerobic (W) and anaerobic alactic energy contribution (W) and (2) to analyse the physiological and energetic demands of high-level pommel horse routines (PH routines). The M was developed because VO measurements are limited during high-level PH routines. Answering Part 1, nine male artistic gymnasts performed a PH routine where energy costs were calculated from VO measurements and then compared with energy costs determined from the HR- VO regressions of M's two additional tests. Using the concordance correlation coefficient (CCC) and Deming regression, W (CCC = 0.955), W (CCC = 0.999), and W (CCC = 0.990) show substantial to almost perfect validity without constant or proportional bias. Data from eight further gymnasts performing a high-level PH routine and a graded exercise test (GXT), as well as four data sets from Part 1, were used to determine physiological and energetic demands using M. VO and HR during PH routines reached 86.1% and 90.4% of the maximal values during GXT. W was 47.0%, anaerobic lactic energy contribution (W) was 29.7%, and W was 23.3% of W required during PH routines. Summarising the energetic demands of high-level PH routines, they are mainly anaerobic, where W provides the largest energy share. W provides a substantial part of W and should therefore also be specifically trained.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10819423 | PMC |
http://dx.doi.org/10.3390/sports12010027 | DOI Listing |
Plant J
September 2025
State Key Laboratory of Tree Genetics and Breeding, National Engineering Research Center of Tree Breeding and Ecological Restoration, Key Laboratory for Genetics and Breeding of Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Biotechnology, Beijing Fores
Floral thermogenesis in lotus (Nelumbo nucifera) is a highly energy-intensive process, requiring substantial metabolic reconfiguration and substrate input. However, the mechanisms coordinating energy substrate supply during this process remain unclear. Here, we integrated microscale proteomics, time-series transcriptomics, and mitochondrial feeding assays to elucidate the substrate provisioning strategies supporting thermogenesis in lotus receptacles.
View Article and Find Full Text PDFThe brain is a metabolically demanding organ as it orchestrates and stabilizes neuronal network activity through plasticity. This mechanism imposes enormous and prolonged energetic demands at synapses, yet it is unclear how these needs are met in a sustained manner. Mitochondria serve as a local energy supply for dendritic spines, providing instant and sustained energy during synaptic plasticity.
View Article and Find Full Text PDFJ Appl Physiol (1985)
September 2025
Department of Applied Physiology and Kinesiology, The University of Florida, Gainesville, FL, USA.
Aging is associated with progressive declines in skeletal muscle mass, strength, and endurance, often linked to mitochondrial dysfunction. However, a complete understanding of mitochondrial impairments during aging is lacking. Herein, we examined how biological sex and aging affect muscle function and mitochondrial energy transduction.
View Article and Find Full Text PDFBiology (Basel)
July 2025
Instituto de Ecología, Universidad Nacional Autónoma de México, Circuito Exterior, Ciudad Universitaria, Coyoacán, Mexico City 04510, Mexico.
Anthropogenic disturbance alters macro- and microclimatic conditions, often increasing ambient temperatures. These changes can strongly affect insects, particularly those experiencing high thermal stress (i.e.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
STFC Scientific Computing Department, Daresbury Laboratory, Keckwick Lane, Daresbury, Warrington, WA4 4AD, UK.
Silica polymorphs and zeolites are fundamental to a wide range of mineralogical and industrial applications owing to their diverse structural characteristics and thermodynamic and mechanical stability under varying conditions. Computational modelling has played a crucial role in understanding the relationship between the structure and functionality of silicas and silicates, including zeolites. In this study, we apply the MACE machine learnt interatomic potentials (MACE MP) to model the framework energies of siliceous zeolites and examine the phase transitions of silica and silicalite polymorphs under high-pressure conditions.
View Article and Find Full Text PDF