Background: Clinical evidence suggests that body muscle mass is positively associated with bone mass, of significance for the elderly population at risk of osteoporosis (OP). Furthermore, muscle and bone interact mechanically and functionally, local interactions as well as remotely secreted components. Thus, it was of interest to compare muscle transcriptomes in postmenopausal OP and healthy women, and study effects of strength training on the muscle transcriptome, muscle stress proteins and bone mineral density (BMD).
Methods: Skeletal muscle histological and genetic properties were compared in postmenopausal healthy ( = 18) and OP ( = 17) women before and after heavy-load strength training for 13-15 weeks. The cohorts were of similar age and body mass index without interfering diseases, medication or difference in lifestyle factors. Muscle biopsies obtained before and after intervention were studied histologically, and stress proteins and transcriptomes analyzed.
Results: The OP women showed distinct muscle transcription profiles when compared with healthy women and had higher levels of the stress proteins HSP70 and α-β-crystalline. A set of 12 muscle transcripts, including ACSS3, FZD4, GNAI1 and IGF1, were differentially expressed before and after intervention (false discovery rate ⩽0.10, ⩽0.001), and their corresponding bone transcripts were associated with BMD. Experimental data underline and describe the functionality of these genes in bone biology. OP women had 8% ( <0.01) higher proportion of type I fibres, but muscle fibre cross-sectional area did not differ. Muscle strength increased in both groups ( <0.01).
Conclusions: Postmenopausal healthy and OP women have distinct muscle transcriptomes [messenger ribonucleic acids (mRNAs) and microRNAs] that are modulated by strength training, translating into key protein alterations and muscle fibre changes. The function of common skeletal muscle and bone genes in postmenopausal OP is suggestive of a shared disease trait.
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http://dx.doi.org/10.1177/1759720X20929443 | DOI Listing |
ACS Appl Mater Interfaces
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Textile and Clothing College, Qingdao University, Qingdao 266071, China.
Fiber-based strain sensors, as wearable integrated devices, have shown substantial promise in health monitoring. However, current sensors suffer from limited tunability in sensing performance, constraining their adaptability to diverse human motions. Drawing inspiration from the structure of the spiranthes sinensis, this study introduces a unique textile wrapping technique to coil flexible silver (Ag) yarn around the surface of multifilament elastic polyurethane (PU), thereby constructing a helical structure fiber-based strain sensor.
View Article and Find Full Text PDFJ Dance Med Sci
January 2025
School of Life Sciences, Pharmacy, and Chemistry, Kingston University, Kingston, UK.
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View Article and Find Full Text PDFJ Dance Med Sci
January 2025
Frontier Research Institute of Convergence Sports Science, College of Educational Sciences, Yonsei University, Seoul, Korea.
Ballet-based dance training emphasizes the equal development of both legs. However, dancers often perceive differences between their legs during balance or landing. There still needs to be more consensus on the functional difference between dominant (D) and non-dominant legs (ND).
View Article and Find Full Text PDFGynecol Endocrinol
December 2025
Centro Universitário Faculdade de Medicina do ABC (FMABC), São Paulo, Santo André, Brazil.
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