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The Impacts of Combined Blood Flow Restriction Training and Betaine Supplementation on One-Leg Press Muscular Endurance, Exercise-Associated Lactate Concentrations, Serum Metabolic Biomarkers, and Hypoxia-Inducible Factor-1α Gene Expression.

Steven Brian MachekDillon R HarrisEmilia E ZawiejaJeffery L HeilesonDylan T WilburnAnna RadziejewskaAgata U ChmurzyńskaJason M CholewaDarryn S Willoughby
Published in: Nutrients (2022)
The purpose of this investigation was to compare the impacts of a potential blood flow restriction (BFR)-betaine synergy on one-leg press performance, lactate concentrations, and exercise-associated biomarkers. Eighteen recreationally trained males (25 ± 5 y) were randomized to supplement 6 g/day of either betaine anhydrous (BET) or cellulose placebo (PLA) for 14 days. Subsequently, subjects performed four standardized sets of one-leg press and two additional sets to muscular failure on both legs (BFR [LL-BFR; 20% 1RM at 80% arterial occlusion pressure] and high-load [HL; 70% 1RM]). Toe-tip lactate concentrations were sampled before (PRE), as well as immediately (POST0), 30 min (POST30M), and 3 h (POST3H) post-exercise. Serum homocysteine (HCY), growth hormone (GH) and insulin-like growth factor-1 concentrations were additionally assessed at PRE and POST30M. Analysis failed to detect any significant between-supplement differences for total repetitions completed. Baseline lactate changes (∆) were significantly elevated from POST0 to POST30 and from POST30 to POST3H ( p < 0.05), whereby HL additionally demonstrated significantly higher ∆Lactate versus LL-BFR ( p < 0.001) at POST3H. Although serum ∆GH was not significantly impacted by supplement or condition, serum ∆IGF-1 was significantly ( p = 0.042) higher in BET versus PLA and serum ∆HCY was greater in HL relative to LL-BFR ( p = 0.044). Although these data fail to support a BFR-betaine synergy, they otherwise support betaine's anabolic potential.
Keyphrases
  • blood flow
  • growth hormone
  • gene expression
  • resistance training
  • high intensity
  • dna methylation
  • open label
  • machine learning
  • body composition
  • double blind
  • phase iii
  • binding protein
  • artificial intelligence
  • human health