A Review of the Effects of Leucine Metabolite (β-Hydroxy-β-methylbutyrate) Supplementation and Resistance Training on Inflammatory Markers: A New Approach to Oxidative Stress and Cardiovascular Risk Factors.
Hamid AraziBehzad TaatiKatsuhiko SuzukiPublished in: Antioxidants (Basel, Switzerland) (2018)
β-hydroxy β-methylbutyrate (HMB) is a bioactive metabolite formed from the breakdown of the branched-chain amino acid, leucine. Given the popularity of HMB supplements among different athletes, specifically, those who participate in regular resistance training, this review was performed to summarize current literature on some aspects of HMB supplementation that have received less attention. Because of the small number of published studies, it has not been possible to conclude the exact effects of HMB on cardiovascular parameters, oxidative stress, and inflammatory markers. Thus, the interpretation of outcomes should be taken cautiously. However, the data presented here suggest that acute HMB supplementation may attenuate the pro-inflammatory response following an intense bout of resistance exercise in athletes. Also, the available findings collectively indicate that chronic HMB consumption with resistance training does not improve cardiovascular risk factors and oxidative stress markers greater than resistance training alone. Taken together, there is clearly a need for further well-designed, long-term studies to support these findings and determine whether HMB supplementation affects the adaptations induced by resistance training associated with the body's inflammatory condition, antioxidative defense system, and cardiovascular risk factors in humans.
Keyphrases
- resistance training
- cardiovascular risk factors
- oxidative stress
- high intensity
- body composition
- cardiovascular disease
- metabolic syndrome
- inflammatory response
- dna damage
- amino acid
- diabetic rats
- induced apoptosis
- systematic review
- ischemia reperfusion injury
- randomized controlled trial
- signaling pathway
- machine learning
- adipose tissue
- electronic health record
- type diabetes
- physical activity
- hepatitis b virus
- lps induced
- deep learning
- molecular dynamics
- endoplasmic reticulum stress
- meta analyses