Six weeks of a polarized training-intensity distribution leads to greater physiological and performance adaptations than a threshold model in trained cyclists

J Appl Physiol (1985). 2013 Feb 15;114(4):461-71. doi: 10.1152/japplphysiol.00652.2012. Epub 2012 Dec 20.

Abstract

This study was undertaken to investigate physiological adaptation with two endurance-training periods differing in intensity distribution. In a randomized crossover fashion, separated by 4 wk of detraining, 12 male cyclists completed two 6-wk training periods: 1) a polarized model [6.4 (±1.4 SD) h/wk; 80%, 0%, and 20% of training time in low-, moderate-, and high-intensity zones, respectively]; and 2) a threshold model [7.5 (±2.0 SD) h/wk; 57%, 43%, and 0% training-intensity distribution]. Before and after each training period, following 2 days of diet and exercise control, fasted skeletal muscle biopsies were obtained for mitochondrial enzyme activity and monocarboxylate transporter (MCT) 1 and 4 expression, and morning first-void urine samples were collected for NMR spectroscopy-based metabolomics analysis. Endurance performance (40-km time trial), incremental exercise, peak power output (PPO), and high-intensity exercise capacity (95% maximal work rate to exhaustion) were also assessed. Endurance performance, PPOs, lactate threshold (LT), MCT4, and high-intensity exercise capacity all increased over both training periods. Improvements were greater following polarized rather than threshold for PPO [mean (±SE) change of 8 (±2)% vs. 3 (±1)%, P < 0.05], LT [9 (±3)% vs. 2 (±4)%, P < 0.05], and high-intensity exercise capacity [85 (±14)% vs. 37 (±14)%, P < 0.05]. No changes in mitochondrial enzyme activities or MCT1 were observed following training. A significant multilevel, partial least squares-discriminant analysis model was obtained for the threshold model but not the polarized model in the metabolomics analysis. A polarized training distribution results in greater systemic adaptation over 6 wk in already well-trained cyclists. Markers of muscle metabolic adaptation are largely unchanged, but metabolomics markers suggest different cellular metabolic stress that requires further investigation.

Publication types

  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Physiological
  • Adult
  • Bicycling*
  • Biomarkers / urine
  • Biopsy
  • Cross-Over Studies
  • Discriminant Analysis
  • Exercise Test
  • Exercise*
  • Humans
  • Least-Squares Analysis
  • Magnetic Resonance Spectroscopy
  • Male
  • Metabolomics / methods
  • Mitochondria, Muscle / metabolism
  • Monocarboxylic Acid Transporters / metabolism
  • Muscle Contraction*
  • Muscle Fatigue
  • Muscle Proteins / metabolism
  • Muscle Strength
  • Muscle, Skeletal / metabolism
  • Muscle, Skeletal / physiology*
  • Physical Endurance*
  • Scotland
  • Symporters / metabolism
  • Time Factors
  • Urinalysis

Substances

  • Biomarkers
  • Monocarboxylic Acid Transporters
  • Muscle Proteins
  • SLC16A4 protein, human
  • Symporters
  • monocarboxylate transport protein 1