Muscular pre-conditioning using light-emitting diode therapy (LEDT) for high-intensity exercise: a randomized double-blind placebo-controlled trial with a single elite runner — Cleber Ferraresi (2015) | RDL Network
Muscular pre-conditioning using light-emitting diode therapy (LEDT) for high-intensity exercise: a randomized double-blind placebo-controlled trial with a single elite runner
Article 2015 en
Authors
CF
Cleber Ferraresi
TB
Thomas Beltrame
FF
Fernando Fabrizzi
Abstract
1 min read
Recently, low-level laser (light) therapy (LLLT) has been used to improve muscle performance. This study aimed to evaluate the effectiveness of near-infrared light-emitting diode therapy (LEDT) and its mechanisms of action to improve muscle performance in an elite athlete. The kinetics of oxygen uptake (VO2), blood and urine markers of muscle damage (creatine kinase--CK and alanine), and fatigue (lactate) were analyzed. Additionally, some metabolic parameters were assessed in urine using proton nuclear magnetic resonance spectroscopy ((1)H NMR). A LED cluster with 50 LEDs (λ = 850 nm; 50 mW 15 s; 37.5 J) was applied on legs, arms and trunk muscles of a single runner athlete 5 min before a high-intense constant workload running exercise on treadmill. The athlete received either Placebo-1-LEDT; Placebo-2-LEDT; or Effective-LEDT in a randomized double-blind placebo-controlled trial with washout period of 7 d between each test. LEDT improved the speed of the muscular VO2 adaptation (∼-9 s), decreased O2 deficit (∼-10 L), increased the VO2 from the slow component phase (∼+348 ml min(-1)), and increased the time limit of exercise (∼+589 s). LEDT decreased blood and urine markers of muscle damage and fatigue (CK, alanine and lactate levels). The results suggest that a muscular pre-conditioning regimen using LEDT before intense exercises could modulate metabolic and renal function to achieve better performance.
Cleber Ferraresi, Nivaldo Antônio Parizotto, Marcelo Victor Pires de Sousa, Beatriz Kaippert, Ying‐Ying Huang, Tomoharu Koiso, Vanderlei Salvador Bagnato, Michael R Hamblin
Cleber Ferraresi, Beatriz Kaippert, Pinar Avci, Ying‐Ying Huang, Marcelo Victor Pires de Sousa, Vanderlei Salvador Bagnato, Nivaldo Antônio Parizotto, Michael R Hamblin
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