Introduction And Aim: Myostatin and follistatin are the main hormones for regulating muscle mass, and previous research suggests they are modulated by resistance training. We therefore performed a systematic review and meta-analysis to investigate the impact of resistance training on circulating myostatin and follistatin in adults.
Methods: A search was conducted in PubMed and Web of science from inception until October 2022 to identify original studies investigating the effects of resistance training compared with controls that did not exercise. Standardized mean differences and 95% confidence intervals (CIs) were calculated using random effects models.
Results: A total 26 randomized studies, including 36 interventions, and involving 768 participants (aged ∼18 - 82 years), were included in the meta-analysis. Resistance training effectively decreased myostatin [-1.31 (95% CI -1.74 - -0.88, p = 0.001, 26 studies] and increased follistatin [2.04 (95% CI: 1.51 - 2.52), p = 0.001, 14 studies]. Subgroup analyses revealed a significant decrease in myostatin and increase in follistatin regardless of age.
Conclusion: Resistance training in adults is effective for reducing myostatin and increasing follistatin which may contribute to the beneficial effects of resistance training on muscle mass and metabolic outcomes.
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http://dx.doi.org/10.1016/j.physbeh.2023.114272 | DOI Listing |
Healthcare (Basel)
December 2024
Respiratory Research and Rehabilitation Laboratory (Lab3R), School of Health Sciences (ESSUA) and Institute of Biomedicine (iBiMED), University of Aveiro, Agras do Crasto-Campus Universitário de Santiago, Building 30, 3810-193 Aveiro, Portugal.
Exercise for children with cystic fibrosis leads to well-known health benefits. However, maintaining regular activity is challenging due to the daily demands of academics, clinical care, and family tasks. Home-based exercise programs offer a more adaptable alternative, fitting into family schedules.
View Article and Find Full Text PDFAnn Thorac Surg Short Rep
June 2024
Department of Cardiothoracic Surgery and Perfusion Services, The Heart Center, Nationwide Children's Hospital, Columbus, Ohio.
Background: Right ventricular (RV) failure after heart transplantation (HT) is common in those with pretransplantation elevated pulmonary vascular resistance (PVR). Mechanical circulatory support has been used as a bridge to recovery, with mixed outcomes. We describe a patient with failed single-ventricle palliation in whom severe RV failure developed after HT.
View Article and Find Full Text PDFCardiol Young
January 2025
Department of Pediatric Endocrinology, Necmettin Erbakan University Faculty of Medicine, Konya, Turkey.
Objective: Children with congenital adrenal hyperplasia are considered to be at an elevated risk for cardiovascular morbidity and mortality. The objective of this study was to evaluate the association between periaortic fat thickness and the cardiometabolic profile in children diagnosed with congenital adrenal hyperplasia.
Method: A total of 20 children and adolescents with congenital adrenal hyperplasia and 20 healthy control subjects were enrolled in the study.
Proc Nutr Soc
January 2025
University of Otago, Dunedin, New Zealand.
This review aims to highlight the relative importance of cardiovascular disease (CVD) lifestyle-associated risk factors among individuals with inflammatory bowel disease (IBD) and examine the effectiveness of lifestyle interventions to improve these CVD risk factors. Adults with IBD are at higher risk of CVD due to systemic and gut inflammation. Besides that, tobacco smoking, dyslipidaemia, hypertension, obesity, physical inactivity, and poor diet can also increase CVD risk.
View Article and Find Full Text PDFBiol Direct
January 2025
School of Medicine, South China University of Technology, Guangzhou, 510006, China.
Background: Pancreatic cancer is characterized by a complex tumor microenvironment that hinders effective immunotherapy. Identifying key factors that regulate the immunosuppressive landscape is crucial for improving treatment strategies.
Methods: We constructed a prognostic and risk assessment model for pancreatic cancer using 101 machine learning algorithms, identifying OSBPL3 as a key gene associated with disease progression and prognosis.
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