Login / Signup

The effect of tyrosine supplementation on whole-body endurance performance in physically active population: A systematic review and meta-analysis including GRADE qualification.

Luiz José Frota Solon-JúniorDaniel Alexandre Boullosa AlvarezBorja Martinez GonzalezDaniel Gomes da Silva MachadoDalton de Lima-JuniorLeonardo de Sousa Fortes
Published in: Journal of sports sciences (2024)
Although tyrosine supplementation is well recognized to improve cognitive function, its impact on endurance performance is debatable and needs to be clarified further. The purpose of this systematic review and meta-analysis was to evaluate the effects of tyrosine supplementation on whole-body endurance performance in physically active population. The search strategy follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), using four databases (Cochrane Library, Web of Science, Scopus, PsycINFO, and PubMed) until 3 August 2023. The effect of tyrosine (experimental condition) was compared against placebo (control condition). The methodological quality of the included studies was evaluated using the Physiotherapy Evidence Database (PEDro) scale. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE Pro software) System was also used to assess the quality of evidence. A total of 10 interventions from 8 studies were included. The sub-group analysis revealed no significant differences between tyrosine and placebo conditions for time to exhaustion (SMD = 0.02; p  = 0.94) and time trial performance (SMD = -0.04; p  = 0.85). The level of evidence as qualified with GRADE was moderate. In conclusion, moderate-quality evidence suggests that tyrosine supplementation is ineffective on endurance performance in the physically active population, independently of the endurance task (TTE or ETT).
Keyphrases
  • high intensity
  • skeletal muscle
  • resistance training
  • phase iii
  • systematic review
  • clinical trial
  • emergency department
  • study protocol
  • adverse drug
  • single cell
  • machine learning
  • meta analyses