bioRxiv Science⌕ Search

Biology subjects

Larsen, F. J.

Publications and source records attributed to Larsen, F. J..

2 recordsLinked to original sources

A glucosinolate-rich beverage lowers blood lactate concentrations during submaximal exercise

Glucosinolate-rich broccoli sprouts combined with intense exercise training for 7 days have been shown to reduce blood lactate concentrations during exercise, attenuate hypoglycemic events, improve physical performance, and reduce markers of oxidative stress. This study aimed to investigate the acute, dose-dependent effects of glucosinolate-rich red kale sprouts (GRS) on blood lactate and blood glucose following the ingestion of three different doses. Fifteen healthy participants consumed 37.5 g or 75 g of GRS or an isocaloric placebo blended into a beverage on three separate occasions. The participants cycled on an ergometer at three submaximal work rates before and three hours after ingestion. Measurements of oxygen uptake, substrate-level oxidation, blood lactate, blood glucose, and ratings of perceived exertion were taken before and after each cycling interval. The intake of glucosinolate-rich sprouts acutely decreased blood lactate levels during submaximal cycling and increased blood glucose levels at rest. The largest reduction in blood lactate was observed at the 37.5 g dose compared to placebo, where the concentration was 0.4 {+/-} 0.2 mM lower at work rate close to threshold (p = 0.003). For the 75 g dose, the reduction in blood lactate was 0.25 {+/-} 0.1 mM (p = 0.02). No significant effects were seen in the lowest work rate. The mean resting glucose level was 3.9 {+/-} 0.1 mM following placebo, compared to 4.3 {+/-} 0.1 mM after intake of either 37.5 g or 75 g dose (p < 0.01, respectively). These findings suggest that glucosinolate-rich broccoli sprouts have a lactate-lowering effect during submaximal efforts, which may have important implications for supplementation for improving endurance performance.

physiology↗

Transforming the performance of runners with AI-driven training planning and daily adaptivity

Balancing intense training with adequate recovery is key for optimal athlete performance. While insufficient or excessive training can adversely impact performance, advancements in wearable technology facilitate more effective monitoring of training and readiness level. This study combined data from Garmin watches and a 9-item questionnaire (Readiness Advisor) application to evaluate the readiness during a 39-day long training period. Two groups were studied: one with daily adaptive modifications of the training according to their readiness level and another with a static regimen where no changes were made regardless of readiness level. Results indicated that the adaptive group maintained a more consistent readiness score and showed improved physiological responses and better performance metrics. In contrast, the static group displayed non-significant improvements. This suggests that adaptive training plans, driven by individualized data and AI analytics, can significantly enhance performance outcomes and physiological adaptations for runners.

physiology↗