Genotypic Variations Associated with Changes in Body Mass in Response to Endurance Training.

This study investigates the extent to which different genotypes can explain changes in body mass following an 8-week running program, in a UK population. Participants were randomly assigned to either a training (n = 17) or control group (n = 21). Participants' diets were not altered, only the exercise regime was manipulated to isolate effects. The exercise group completed a periodized running program consisting of 20-30 min, over an agreed route, three times per-week, whilst the control groups refrained from daily exercise. Participants were screened at the end of the study for 1,000 gene variants using a DNA test kit. Results demonstrated a significant reduction in body mass, within the exercise, compared to the control group (p = .002). This reduction in body mass varied significantly (p = .024) between individuals within the exercise group. Moreover, genetic analysis identified 17 single nucleotide polymorphisms (SNPs) associated with this variation (r2 = .74; p < .001). These findings indicate that individuals with specific alleles are better predisposed to weight-management, compared to their counterparts, following an exercise program. This study helps to bridge the gap between population health and exercise science and can inform research in the application of genetics to help develop individually tailored health interventions.

Responsiveness to endurance training can be partly explained by the number of favorable single nucleotide polymorphisms an individual possesses.

Cardiorespiratory fitness is a key component of health-related fitness. It is a necessary focus of improvement, especially for those that have poor fitness and are classed as untrained. However, much research has shown individuals respond differentially to identical training programs, suggesting the involvement of a genetic component in individual exercise responses. Previous research has focused predominantly on a relatively low number of candidate genes and their overall influence on exercise responsiveness. However, examination of gene-specific alleles may provide a greater level of understanding. Accordingly, this study aimed to investigate the associations between cardiorespiratory fitness and an individual's genotype following a field-based endurance program within a previously untrained population. Participants (age: 29 ± 7 years, height: 175 ± 9 cm, mass: 79 ± 21 kg, body mass index: 26 ± 7 kg/m2) were randomly assigned to either a training (n = 21) or control group (n = 24). The training group completed a periodized running program for 8-weeks (duration: 20-30-minutes per session, intensity: 6-7 Borg Category-Ratio-10 scale rating, frequency: 3 sessions per week). Both groups completed a Cooper 12-minute run test to estimate cardiorespiratory fitness at baseline, mid-study, and post-study. One thousand single nucleotide polymorphisms (SNPs) were assessed via saliva sample collections. Cooper run distance showed a significant improvement (0.23 ± 0.17 km [11.51 ± 9.09%], p < 0.001, ES = 0.48 [95%CI: 0.16-0.32]), following the 8-week program, whilst controls displayed no significant changes (0.03 ± 0.15 km [1.55 ± 6.98%], p = 0.346, ES = 0.08, [95%CI: -0.35-0.95]). A significant portion of the inter-individual variation in Cooper scores could be explained by the number of positive alleles a participant possessed (r = 0.92, R2 = 0.85, p < 0.001). These findings demonstrate the relative influence of key allele variants on an individual's responsiveness to endurance training.

Do exercise-associated genes explain phenotypic variance in the three components of fitness? a systematic review & meta-analysis.

The aim of this systematic review and meta-analysis was to identify a list of common, candidate genes associated with the three components of fitness, specifically cardiovascular fitness, muscular strength, and anaerobic power, and how these genes are associated with exercise response phenotype variability, in previously untrained participants. A total of 3,969 potentially relevant papers were identified and processed for inclusion. After eligibility and study selection assessment, 24 studies were selected for meta-analysis, comprising a total of 3,012 participants (male n = 1,512; females n = 1,239; not stated n = 261; age 28 ± 9 years). Meta-Essentials spreadsheet 1.4 (Microsoft Excel) was used in creating the forest plots and meta-analysis. IBM SPSS statistics V24 was implemented for the statistical analyses and the alpha was set at p ≤ 0.05. 13 candidate genes and their associated alleles were identified, which were associated with the phenotypes of interest. Analysis of training group data showed significant differential phenotypic responses. Subgroup analysis showed; 44%, 72% and 10% of the response variance in aerobic, strength and power phenotypes, respectively, were explained by genetic influences. This analysis established that genetic variability explained a significant proportion of the adaptation differences across the three components of fitness in the participants post-training. The results also showed the importance of analysing and reporting specific gene alleles. Information obtained from these findings has the potential to inform and influence future exercise-related genes and training studies.

The plateau at V˙ O2max is associated with anaerobic alleles.

OBJECTIVES: This study tests the hypothesis that individuals who achieve a plateau at V˙ O2max (V˙ O2plat) are more likely to possess alleles, associated with anaerobic capacity, than those who do not. DESIGN: A literature survey, physiological testing and genetic analysis was used to determine any association between the aerobic and anaerobic polymorphisms of 40 genes and V˙ O2plat. METHODS: 34, healthy, Caucasian volunteers, completed an exercise test to determine V˙ O2max, and  V˙ O2plat. 28 of the volunteers agreed to DNA testing and 26 were successfully genotyped. A literature search was used to determine whether the 40 polymorphisms analysed were associated with aerobic, or anaerobic exercise performance. RESULTS: The literature survey enabled classification of the 40 target alleles as aerobic [11], anaerobic [24], or having no apparent association (NAA) [5] with exercise performance. It also found no previous studies linking a genetic component with the ability to achieve V˙ O2plat. Independent t-tests showed a significant difference (p < 0.001) in the ability to achieve V˙ O2plat, but no other measured physiological variable was significantly different. Pearson's χ2 testing demonstrated a highly significant association (p = 0.008) between anaerobic allele frequency and V˙ O2plat, but not with V˙ O2max. There was no association between aerobic alleles and V˙ O2plat, or V˙ O2max. Finally there were no significant differences in the allelic frequencies, observed in this study and those expected of Northern and Western European Caucasians. CONCLUSION: These results support the hypothesis that the ability to achieve V˙ O2plat is associated with alleles linked to anaerobic exercise capacity.

Development of a simulated round of golf.

PURPOSE: The aim of this study was to develop a laboratory-based treadmill simulation of the on-course physiological demands of an 18-hole round of golf and to identify the underlying physiological responses. METHODS: Eight amateur golfers completed a round of golf during which heart rate (HR), steps taken, and global positioning system (GPS) data were assessed. The GPS data were used to create a simulated discontinuous round on a treadmill. Steps taken and HR were recorded during the simulated round. RESULTS: During the on-course round, players covered a mean (+/-SD) of 8,251 +/- 450 m, taking 12,766 +/- 1,530 steps. The mean exercise intensity during the on-course round was 31.4 +/- 9.3% of age-predicted heart rate reserve (%HRR) or 55.6 +/- 4.4% of age-predicted maximum HR (%HRmax). There were no significant differences between the simulated round and the on-course round for %HRR (P = .537) or %HRmax (P = .561) over the entire round or for each individual hole. Furthermore, there were no significant differences between the two rounds for steps taken. Typical error values for steps taken, HR, %HRmax, and %HRR were 1,083 steps, +/-7.6 b x min(-1), +/-4.5%, and +/-8.1%, respectively. CONCLUSION: Overall, the simulated round of golf successfully recreated the demands of an on-course round. This simulated round could be used as a research tool to assess the extent of fatigue during a round of golf or the impact of various interventions on golfers.