HyperLa: Glycolytic Phenotype (vLapeak) and Magnitude of Skeletal Muscle Hypertrophy After Resistance Training: A Multi-centre Study by the HyperLa Study Group
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 120
- 试验地点
- 8
- 主要终点
- Change in mid-thigh Muscle Thickness
研究概览
简要总结
The HyperLa study investigates whether a person's "glycolyticness"-the efficiency with which their body uses glycolysis for energy-can predict how much their muscles will grow (hypertrophy) in response to resistance training. Participants will undergo a specialized "vLapeak" test, which measures the maximal rate of lactate accumulation during a 10-second all-out cycling sprint, to determine their individual glycolytic power. Following this initial assessment, participants will complete eight weeks of standardized, twice-weekly resistance training focused on the lower body. The study aims to determine if individuals with higher initial vLapeak values experience greater increases in muscle size compared to those with lower values. This research may help explain why people respond differently to exercise and support the development of personalized training programs.
详细描述
This multicentre, prospective, single-arm interventional cohort study aims to link metabolic phenotypes with physical adaptations.
- Primary Assessment: Glycolytic power is quantified via the vLapeak test, defined as the peak rate of blood lactate accumulation during a 10-second isokinetic or sprint-configured cycle ergometry test.
- Intervention: The 8-week resistance training program consists of two supervised sessions per week. Exercises include the leg press (or Smith-machine squat) and leg extensions, performed for 4 sets of 8-12 repetitions. Intensity progresses from an RPE of 6 to voluntary muscular failure by the third week.
- Measurements: Muscle hypertrophy is primarily assessed via ultrasound measurement of muscle thickness and cross-sectional area (CSA) of the thigh muscles before and after the intervention.
- Secondary Objectives: The study also evaluates changes in the plasma metabolome via venous blood samples and, at select sites, analyzes muscle biopsies for glycolytic enzyme activity and fiber type composition to further validate the vLapeak results.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Treatment
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 39 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Body Mass Index (BMI) between 20-29 kg/m2
- •No structured resistance training performed in the last twelve months.
- •Maximum of four sessions per week of recreational or low-to-moderate aerobic endurance activity.
- •No history of competitive strength or physique sports.
排除标准
- •Diagnosed cardiovascular, pulmonary, metabolic, neuromuscular, or orthopaedic disease that contraindicates exercise.
- •Positive response to any question on the PAR-Q 2025 questionnaire.
- •Current use of anabolic steroids, creatine, or other substances known to strongly influence muscle hypertrophy.
- •Regular engagement in shift work.
- •Women who are pregnant or breastfeeding.
结局指标
主要结局
Change in mid-thigh Muscle Thickness
时间窗: Baseline and Week 8 (completion of training intervention)
Change in mid-thigh muscle thickness (combination of rectus femoris and vastus intermedius) as measured by ultrasound.
Change in lateral-thigh Muscle Thickness
时间窗: Baseline and Week 8 (completion of training intervention)
Change in lateral thigh muscle thickness (combination of vastus lateralis and vastus intermedius) as measured by ultrasound.
次要结局
- Change in Peak Rate of Blood Lactate Accumulation (vLapeak)(Baseline and Week 8 (completion of training intervention))
- Change in Vastus Lateralis Muscle Cross-Sectional Area (CSA)(Baseline and Week 8 (completion of training intervention))
- Maximal Strength (3RM) for Leg Press(Baseline and Week 8 (completion of training intervention))
- Maximal Strength (3RM) for Leg Exentsion(Baseline and Week 8 (completion of training intervention))
- Change in Relative Abundance of Selected Plasma Metabolites(Baseline and Week 8 (completion of training intervention))
研究者
Prof. Dr. Henning Wackerhage
Professor
Technical University of Munich