TY - JOUR A1 - Delfan, Maryam A1 - Vahed, Alieh A1 - Bishop, David A1 - Juybari, Raheleh Amadeh A1 - Laher, Ismail A1 - Saeidi, Ayoub A1 - Granacher, Urs A1 - Zouhal, Hassane T1 - Effects of two workload-matched high-intensity interval training protocols on regulatory factors associated with mitochondrial biogenesis in the soleus muscle of diabetic rats JF - Frontiers in Physiology N2 - Aims: High intensity interval training (HIIT) improves mitochondrial characteristics. This study compared the impact of two workload-matched high intensity interval training (HIIT) protocols with different work:recovery ratios on regulatory factors related to mitochondrial biogenesis in the soleus muscle of diabetic rats. Materials and methods: Twenty-four Wistar rats were randomly divided into four equal-sized groups: non-diabetic control, diabetic control (DC), diabetic with long recovery exercise [4–5 × 2-min running at 80%–90% of the maximum speed reached with 2-min of recovery at 40% of the maximum speed reached (DHIIT1:1)], and diabetic with short recovery exercise (5–6 × 2-min running at 80%–90% of the maximum speed reached with 1-min of recovery at 30% of the maximum speed reached [DHIIT2:1]). Both HIIT protocols were completed five times/week for 4 weeks while maintaining equal running distances in each session. Results: Gene and protein expressions of PGC-1α, p53, and citrate synthase of the muscles increased significantly following DHIIT1:1 and DHIIT2:1 compared to DC (p ˂ 0.05). Most parameters, except for PGC-1α protein (p = 0.597), were significantly higher in DHIIT2:1 than in DHIIT1:1 (p ˂ 0.05). Both DHIIT groups showed significant increases in maximum speed with larger increases in DHIIT2:1 compared with DHIIT1:1. Conclusion: Our findings indicate that both HIIT protocols can potently up-regulate gene and protein expression of PGC-1α, p53, and CS. However, DHIIT2:1 has superior effects compared with DHIIT1:1 in improving mitochondrial adaptive responses in diabetic rats. KW - diabetes mellitus KW - muscle metabolism KW - time-efficient exercise KW - mitochondrial adaptation KW - exercise training Y1 - 2022 U6 - https://doi.org/10.3389/fphys.2022.927969 SN - 1664-042X SP - 1 EP - 12 PB - Frontiers CY - Lausanne, Schweiz ER - TY - JOUR A1 - Hansen, Dominique A1 - Dendale, Paul A1 - Coninx, Karin A1 - Vanhees, Luc A1 - Piepoli, Massimo F. A1 - Niebauer, Josef A1 - Cornelissen, Veronique A1 - Pedretti, Roberto A1 - Geurts, Eva A1 - Ruiz, Gustavo R. A1 - Corra, Ugo A1 - Schmid, Jean-Paul A1 - Greco, Eugenio A1 - Davos, Constantinos H. A1 - Edelmann, Frank A1 - Abreu, Ana A1 - Rauch, Bernhard A1 - Ambrosetti, Marco A1 - Braga, Simona S. A1 - Barna, Olga A1 - Beckers, Paul A1 - Bussotti, Maurizio A1 - Fagard, Robert A1 - Faggiano, Pompilio A1 - Garcia-Porrero, Esteban A1 - Kouidi, Evangelia A1 - Lamotte, Michel A1 - Neunhaeuserer, Daniel A1 - Reibis, Rona Katharina A1 - Spruit, Martijn A. A1 - Stettler, Christoph A1 - Takken, Tim A1 - Tonoli, Cajsa A1 - Vigorito, Carlo A1 - Völler, Heinz A1 - Doherty, Patrick T1 - The European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool: A digital training and decision support system for optimized exercise prescription in cardiovascular disease. Concept, definitions and construction methodology JF - European journal of preventive cardiology : the official ESC journal for primary & secondary cardiovascular prevention, rehabilitation and sports cardiology N2 - Background Exercise rehabilitation is highly recommended by current guidelines on prevention of cardiovascular disease, but its implementation is still poor. Many clinicians experience difficulties in prescribing exercise in the presence of different concomitant cardiovascular diseases and risk factors within the same patient. It was aimed to develop a digital training and decision support system for exercise prescription in cardiovascular disease patients in clinical practice: the European Association of Preventive Cardiology Exercise Prescription in Everyday Practice and Rehabilitative Training (EXPERT) tool. Methods EXPERT working group members were requested to define (a) diagnostic criteria for specific cardiovascular diseases, cardiovascular disease risk factors, and other chronic non-cardiovascular conditions, (b) primary goals of exercise intervention, (c) disease-specific prescription of exercise training (intensity, frequency, volume, type, session and programme duration), and (d) exercise training safety advices. The impact of exercise tolerance, common cardiovascular medications and adverse events during exercise testing were further taken into account for optimized exercise prescription. Results Exercise training recommendations and safety advices were formulated for 10 cardiovascular diseases, five cardiovascular disease risk factors (type 1 and 2 diabetes, obesity, hypertension, hypercholesterolaemia), and three common chronic non-cardiovascular conditions (lung and renal failure and sarcopaenia), but also accounted for baseline exercise tolerance, common cardiovascular medications and occurrence of adverse events during exercise testing. An algorithm, supported by an interactive tool, was constructed based on these data. This training and decision support system automatically provides an exercise prescription according to the variables provided. Conclusion This digital training and decision support system may contribute in overcoming barriers in exercise implementation in common cardiovascular diseases. KW - Cardiovascular disease KW - rehabilitation KW - exercise training KW - training and decision support system Y1 - 2017 U6 - https://doi.org/10.1177/2047487317702042 SN - 2047-4873 SN - 2047-4881 VL - 24 SP - 1017 EP - 1031 PB - Sage Publ. CY - London ER -