Carnosine is an intramuscular dipeptide which is thought to function as a proton buffer (2) and/or as a calcium regulator (13). β-alanine (BA) supplementation is the most efficacious nutritional strategy known to augment concentrations of muscle carnosine (6,36). Indeed, there is a growing body of evidence that suggests chronic BA supplementation provides an ergogenic benefit to trained athletes performing short-duration time trials (TT) (7). More specifically, data from our laboratory (5) suggest that BA supplementation enhances 4-km cycling TT performance (~6 min), whereas others have demonstrated worthwhile improvements in 2000-m rowing TT (~7 min) (19) and 100-m (~1 min) and 200-m swimming TT (~2 min) (27).
In addition to dietary supplements (such as BA), various forms of sprint-interval training (SIT) have been demonstrated to improve short-duration TT performance (i.e., <10 min) (17,31,38). Although there is no universal definition, an SIT session can be defined as repeated maximal efforts of short-duration (i.e., < 2 min) and extreme-intensity or sprint-type (i.e., all-out) exercise interspersed with recovery periods performed at a low intensity or with complete rest. Improvement in TT performance in well-trained athletes after the implementation of an SIT program has been attributed to the augmentation of both aerobic and anaerobic metabolic adaptations (11,38), as well as the ability to better manage ionic perturbations in the muscle and blood during exercise (21). Given that BA supplementation has been shown to increase the amount of work completed during intense, intermittent sprint exercise (39), an interesting question is raised: Does BA supplementation provide additional benefits to the effect of SIT by allowing athletes to train at a higher interval training intensity and achieve a greater degree of training adaptation and, therefore, performance?
Recent research has failed to demonstrate a concomitant additive enhancement in physiological or performance measures when BA is combined with a training intervention (10,16,23,33). This finding may be related, in part, to the recruitment of untrained participants in these studies (10,16,23,33) because it is possible that the potent training stimulus may have overwhelmed the potential to detect any influence of BA supplementation on training intensity and exercise performance. Furthermore, very few studies (23,33) have included a supplementation loading period to elevate carnosine levels before the implementation of the training intervention. In addition, these studies (10,16) did not require their subjects to perform their exercise training protocol before the supplementation loading period to establish whether BA supplementation could provide an ergogenic benefit to the chosen training protocol. Thus, the efficacy of BA supplementation as a training aid remains unclear. Therefore, the aim of the present study was to investigate the effects of BA supplementation only, and in combination with SIT, on training intensity, and energy provision and performance during exhaustive supramaximal cycling and 4 × 1-, 4-, and 10-km TT performance.
Fourteen endurance-trained male cyclists (mean ± SD: age = 25.4 ± 7.2 yr, mass = 71.1 ± 7.1 kg, V˙O2max = 4.5 ± 0.6 L·min−1) were recruited for the current study. Before preliminary testing, all cyclists completed a training questionnaire to estimate the weekly training frequency, the weekly training hours, and the average weekly frequency of interval training during the preceding month. During the month before the investigation, they were cycling 200–550 km·wk−1, 7–16 h·wk−1 and performing ~1.5 interval sessions per week. All cyclists were informed verbally and in writing as to the requirements of the study and any possible adverse effects that could be experienced, and all gave their written informed consent. Cyclists had not taken any dietary supplements in the 3 months before the study with the exception of four cyclists who were consuming a multivitamin supplement and two cyclists who were consuming a fish oil supplement. All cyclists consumed carbohydrate and protein beverages during and after training rides, and all cyclists were naive to chronic BA supplementation before the commencement of the study. The study was conducted in the Griffith University Sport Science laboratory and was approved by the Griffith University Human Research Ethics Committee.
The current study was a double-blind placebo (PL)-controlled trial. Subjects were matched for average weekly training volume (km·wk−1) in the month preceding the investigation and divided in to a BA (n = 7) or PL group (n = 7). On the initial visit to the laboratory, subjects performed a long-graded exercise test for the determination of V˙O2max and peak aerobic power output. Subjects completed a familiarization of each performance test (see below) on separate days after the completion of the long-graded exercise test. After the completion of preliminary testing, subjects performed a supramaximal cycling test to exhaustion (power output equal to 120% of the power output achieved at V˙O2max), a 4- and 10-km TT and 4 × 1-km sprints on separate days (>48 h) at three time points: before (preloading) and after (postloading) 28 d of supplementation loading (6.4 g·d−1) with BA or a PL; and after a 5-wk supervised SIT program (post-SIT) performed twice weekly while maintaining supplementation (1.2 g·d−1). Subjects recorded all types of training and the duration and intensity of each training session throughout the entirety of the study using the session-RPE method (15).
Details of exercise performance tests
Before reporting to the laboratory for each performance test, each subject was asked to abstain from caffeine and alcohol and avoid strenuous exercise for the 24 h preceding each performance test. Each subject was also required to record a 24-h diet diary leading up to the first performance test, which was then replicated in the 24 h preceding the performance tests. All testings were conducted on an electromagnetically braked cycle ergometer (Velotron Racermate, Seattle, WA). Before each test, factory calibration was verified using the Accuwatt “run down” verification program (RacerMate Inc.) accompanying the ergometer software. The ergometer was adjusted for comfort for each subject, this included fitting their own pedals and saddle. These adjustments were replicated for all subsequent trials. Subjects commenced a standardized 20-min warm-up before each performance trial that comprised 5 min of cycling at 150 W, 8 min of cycling at a power output equivalent to 60% of the power output achieved at V˙O2max, 2 min of cycling at a self-selected power output, 2 min of cycling to include three 6-s maximal sprints, and finished with 3 min of cycling at a self-selected power output. Subjects were then instructed to sit passively for a period of 8 min before starting the performance test.
Long-graded exercise test
Subjects completed the long-graded exercise test which required the subjects to begin cycling at 100 W with the work rate increasing by 50 W every 5 min until volitional exhaustion or if their pedalling frequency dropped below 60 rpm. Gas exchange variables were measured and recorded every 30 s (Parvomedics Trueone 2400, Sandy, UT). Maximal aerobic power output was calculated from the last completed power output stage, plus the fraction of time spent in the final noncompleted work rate multiplied by the work rate increment.
Supramaximal cycling tests
Subjects commenced the standardized warm-up period and were then given 10 s of unloaded cycling to allow subject to reach a pedalling cadence of approximately 110 rpm before the predetermined power output equal to 120% of the power output achieved at V˙O2max (L·min−1) was applied. To determine the time to exhaustion (TTE), the test was terminated when each cyclist could not maintain a pedalling cadence of above 60 rpm for a 3-s period. The coefficient of variation (CV) for TTE (expressed as a CV% between the familiarization and preloading supramaximal cycling test) was 6.4%. Gas exchange variables were measured and recorded (Parvomedics Trueone 2400). A blood sample was taken from the earlobe immediately postexercise for determination of blood [La−] using the Lactate Pro™ (Arkray KDK, Japan).
4- and 10-km cycling TT
A flat course profile was created using the Velotron Coaching Software (RacerMate Inc., Seattle, WA) for each distance. Subjects commenced the standardized warm-up before beginning each TT. During the TT, subjects were able to see the distance remaining and the gear ratio. The gear ratio (53 × 17) was the same at the start of each TT, but subjects were permitted to adjust the gear ratio throughout the trial to reflect their preferred cadence. Power output (Velotron Coaching software; Racermate) was recorded at a frequency of 30 Hz, and HR was recorded throughout exercise using short-range telemetry (Polar T61, Kempele, Finland), interfaced with the Velotron software. The CV for performance time for the 4- and 10-km TT were 1.1% and 1.2%. The CV for mean power output for the 4- and 10-km TT were 2.2% and 2.3%.
4 × 1-km cycling sprints
Subjects performed 4 × 1-km maximal cycling sprints with each sprint being separated by 4 min of active recovery (~50 W) on an air-braked cycle ergometer (Wattbike Pro, Nottingham, UK). Subjects completed the standardized warm-up before the 4 × 1-km maximal cycling sprints and were encouraged to perform each 1-km maximal sprint in the fastest time possible. Performance time and mean power output were recorded for each 1-km cycling sprint. The CV for performance time (0.6%) and mean power output for the 1-km TT (1.2%) in trained cyclists has previously been determined to be acceptable in our laboratory (4). HR was recorded throughout exercise (Polar T61, Kempele, Finland), and blood lactate concentration was determined after each 1-km cycling sprint using the Lactate Pro™ (Arkray KDK, Japan).
Supplementation loading and maintenance protocols
During the loading period, subjects were supplemented with 6.4 g·d−1 of BA (Carnosyn® slow-release, Collegiate Sport Nutrition, San Marcos, CA) or a PL (dextrose monohydrate) ingested in four equal daily doses with for 28 d. Supplements were provided as 400-mg gel capsules, and subjects consumed doses at each of the three main meals and before going to sleep. During the SIT period, subjects decreased their supplement intake to 1.2 g·d−1 and continued this dose until each subject had completed their last performance test in the post-SIT period. Recent research has suggested that a maintenance dose of approximately 1.2 g·d−1 of BA is considered appropriate to maintain already elevated muscle carnosine content (35).
After the performance tests conducted after the loading period (postloading), subjects performed supervised training sessions 2 d·wk−1 for a total of 5 wk in addition to each subjects’ normal training regimen. Subjects continued to record all types of training and the duration and intensity of each training session during the SIT period using the session RPE method (15). Each SIT session was comprised of repeated 1-km maximal cycling sprints with each sprint being separated by 4 min of active recovery (~50 W) performed on an air-braked cycle ergometer (Wattbike Pro). Training progression was implemented by increasing the number of 1-km maximal sprints from four repetitions during sessions 1–5, to five repetitions during sessions 6 and 7, and finally to six repetitions during sessions 8 and 9. Subjects completed four repetitions in session 10 to allow for a matched-repetition analysis of training performance for the 4 × 1-km cycling sprint protocol conducted before supplementation (preloading) and the first (postloading) and last (post-SIT) SIT sessions. Subjects were encouraged to perform each 1-km maximal sprint in the fastest time possible. Performance time, mean, and peak power output were recorded for each 1-km cycling sprint for each training session. Before each training sessions, subjects completed the standardized warm-up. In an attempt to standardize the nutrient availability for each subject before each training session, subjects were encouraged to consume a high carbohydrate meal (2–4 g·kg−1) before each training session in an attempt to maximize training performance (9).
Anaerobic capacity was determined from the supramaximal cycling tests and was calculated from the power output, V˙O2, RER, and gross efficiency by the methods used by Serresse et al. (32) and adapted by Foster et al. (14). Gross efficiency was calculated from the average V˙O2 and RER from the final 2 min of the warm-up stage that was completed at the power output equivalent to 60% of the power output achieved at V˙O2max. Power output and cardiorespiratory data were averaged and time aligned to the start of each test to facilitate between-trial analyses. Subsequently, the average power output and the average V˙O2 during each interval were calculated, and the aerobic contribution to power output was calculated by multiplying metabolic work by gross efficiency. We assumed that RER >1.0 were attributable to nonmetabolic CO2 production attributable to the buffering action by bicarbonate. Accordingly, RER values in excess of 1.0 were treated as if they equalled 1.0 in the calculation of metabolic work. The anaerobic contribution to power output was calculated by subtracting the aerobic contribution to power output from the total power output. Summation of total anaerobic power output over time provided a measure of anaerobic capacity. We also calculated the postloading and post-SIT anaerobic capacity at isotime relative to the preloading TTE (i.e., work-matched comparison). V˙O2peak was defined as the highest 30-s average during each supramaximal cycling test.
The change score in performance and physiological variables for BA and PL after the supplementation loading period and again after the training period were compared using a mixed design 2 × 3 (group–testing period) ANOVA with repeated measures for time. Post hoc analyses were performed where appropriate by using pairwise comparisons with Bonferroni adjustments. Results are reported as mean ± SD unless stated otherwise, and statistical significance was accepted at the P < 0.05 level. Where practical, precision of estimates of outcome statistics are reported as 95% confidence limits of the difference between conditions, and as probabilities that the true effect is beneficial, trivial, and/or harmful which were determined from a Microsoft Excel spreadsheet designed for sport science research (3). When clear interpretation was able to be made, a qualitative descriptor was assigned to the following quantitative chances of benefit: 0%–25%, unclear; 25%–75%, benefit possible; 75%–95%, benefit likely; 95%–99%, benefit very likely; >99%, benefit almost certain.
4 × 1-km sprints and SIT
At postloading, BA significantly improved performance time (−1.6% ± 1.0% and −2.1% ± 2.0%; P < 0.05, respectively) and mean power output (+4.5% ± 3.4% and +7.0% ± 4.0%; P < 0.05, respectively) in sprints 3 and 4 of the 4 × 1-km cycling sprints, whereas there was no change in PL (Table 1). Figure 1 shows the transient improvement in training performance times for each 1-km maximal cycling sprint relative to the first training session throughout the entire training period. During training sessions 6 and 7, BA achieved a significantly greater improvement in performance time for sprint 2 (P < 0.05) compared with PL. During training session 5 through to session 10, BA achieved a significantly greater improvement in performance time for sprints 3 and 4 (P < 0.05) compared with PL. Furthermore, the improvement in mean power output achieved during the pooled 1-km cycling sprints increased from the first to the last training session to a greater extent in BA compared with PL (BA: +9.9% ± 5.0%; PL: +4.9% ± 5.0%; P = 0.044). During the final training session, blood lactate concentration was significantly higher after sprint 3 (BA: 16.1 ± 1.9 mmol·L−1; PL: 15.0 ± 1.7 mmol·L−1; P = 0.050) and sprint 4 (BA: 16.9 ± 1.9 mmol·L−1; PL: 15.3 ± 1.9 mmol·L−1; P = 0.048) in BA compared with PL.
Supramaximal cycling test
At postloading, BA had a significant increase in TTE (+8.9% ± 8.4%; P = 0.017; Fig. 2) with a corresponding increase in anaerobic capacity (+4.0% ± 3.0%; P = 0.018) and postexercise blood lactate concentration (+8.1% ± 8.5%; P = 0.038), whereas there was no change in PL (Table 2). At post-SIT, both groups had improvements in TTE (BA: +14.9% ± 9.2%; PL: +9.0% ± 6.9%; P < 0.05). However, there was a greater improvement in BA compared with PL (a difference of +15.0 ± 13.5 s between the ΔBA − ΔPL, P = 0.040; Table 3). In addition, BA had a significant improvement in anaerobic capacity (+5.5% ± 4.3%; P = 0.040), whereas there was no change in PL. We also examined the postloading and post-SIT anaerobic capacity measured at the time equal to the TTE of the preloading supramaximal cycling test (i.e., work-matched comparison). There was no significant difference in the relative postloading anaerobic capacity matched to the preloading TTE in BA or PL (Fig. 3). Similarly, there was no difference in the relative post-SIT anaerobic capacity matched to the preloading TTE in the BA or PL. V˙O2peak was significantly enhanced to a similar magnitude at post-SIT (BA: +3.1% ± 2.9%; PL: +3.5% ± 2.9%; P < 0.05).
At postloading, BA significantly improved 4-km TT performance time (1.7% ± 1.7%; P = 0.040) and mean power output (+4.1% ± 4.0%; P = 0.030), whereas there was no change observed for PL (Fig. 2). At post-SIT, performance time (BA: −4.0% ± 1.5%; PL: −2.9% ± 1.5%) and mean power output (BA: +10.6% ± 3.9%; PL: +8.6% ± 5.1%) improved in both groups (main effect for time, P < 0.001). Despite there being a nonsignificant group–time interaction at post-SIT, there was a possibly likely (51% likelihood of a beneficial effect) additive benefit for 4-km TT performance time in BA compared with PL (a difference of −3.6 ± 6.0 s between the ΔBA − ΔPL) (Table 3).
There was no difference in 10-km TT performance time or mean power output for either group at postloading (Fig. 2). At post-SIT, there was a significant improvement in 10-km TT performance time (BA: −1.4% ± 1.3%; PL: −1.5% ± 1.4%; P < 0.05) and mean power output (BA: +3.9% ± 3.7%; PL: +4.3% ± 4.1%; P < 0.05) in both groups. However, the magnitude of the increase in performance was not different between groups.
Blinding efficacy and supplementation compliance
Compliance with the supplementation protocol was verbally confirmed from all subjects. All subjects were free of paraesthesia symptoms during the supplementation period. We also asked all subjects to guess which group (BA or PL) they were in during the debriefing session that we held with each subject once all subjects had completed their study requirements. All subjects were hesitant to guess which group they were in but only two of the seven subjects in each group successfully predicted which group they were in.
The present study demonstrates that BA supplementation increases training intensity during extreme-intensity bouts of cycling sprints (i.e., SIT). Importantly, the increase in training intensity provided additional benefits to cyclists performing exhaustive supramaximal cycling compared with SIT alone. We also showed that these additive performance improvements were associated with an enhanced anaerobic capacity during supramaximal cycling.
Considering we have previously reported performance improvements during supramaximal-intensity cycling and 4-km cycling TT (5) after BA supplementation, the focus of the current study was to investigate whether BA supplementation could provide added benefits to the effect of SIT on cycling performance by further inducing training adaptations (10,16). The premise that may support the use of BA as a training aid relies on the ergogenic potential of BA to enhance performance during the used training protocol (i.e., increase training intensity). A novel aspect of the current study is that we required our participants to perform the SIT protocol during the preloading testing period to determine whether the training protocol (repeated 1-km maximal efforts) could be improved after supplementation with BA. Indeed, BA improved mean power output in sprints 3 and 4 of the 4 × 1-km sprints (+4.5% ± 3.4% and +7.0% ± 4.0%; P < 0.05, respectively) with no change in PL. We adopted an identical training protocol for a 5-wk training period and as hypothesized, commencing SIT after supplementation loading with BA supplementation, and presumably elevated levels of muscle carnosine (36) resulted in higher power outputs during SIT sessions which was most pronounced in the latter 1-km cycling sprints. The improvement in mean power output achieved during the 1-km cycling sprints increased from the first to the last training session to a greater extent in BA compared with PL (BA: +9.9% ± 5.0%; PL: +4.9% ± 5.0%; P = 0.044).
In the present study, SIT alone induced improvements in supramaximal exercise tolerance and 4- and 10-km TT performance. Several previous studies have examined muscle metabolic and/or performance adaptations to SIT in well-trained endurance athletes (11,21,31,38). For example, Rønnestad et al. (31) reported improvements in V˙O2max and various performance parameters including mean power output during a 30-s all-out, 5-min all-out, and 40-min all-out cycling tests after a 10-wk SIT program in competitive male cyclists. Furthermore, Iaia et al. (21) reported an attenuation in plasma K+ concentration after a 4-wk SIT program in endurance trained runners concomitant with improvements in exhaustive supramaximal exercise tolerance. One of the main findings from the present study was that supramaximal cycling TTE increased to a greater extent after SIT in cyclists who supplemented with BA compared with a PL. Furthermore, there was a nonstatistical trend for a greater improvement in 4-km TT performance time after SIT in BA (4.0% ± 1.5%) compared with PL (2.9% ± 1.5%), whereas 10-km TT performance time improved modestly and to a similar extent in both groups (BA: 1.3% ± 1.5%; PL: 1.4 ± 1.4; P = 0.46). The additional 1.1% improvement in 4-km TT performance time in BA did not reach statistical significance. Indeed, the small sample size in the current study (n = 14) may have been insufficient to provide adequate statistical power to detect a significant performance improvement with traditional null hypothesis testing. However, given that performances of elite athletes are separated by very small margins that would be difficult to statistically detect (20), the apparent trend toward a greater improvement in performance in BA at posttraining may be important in practical terms. Our finding of an increased training intensity and superior improvement in supramaximal-intensity exercise to exhaustion in response to undertaking SIT after BA supplementation is in contrast to two recent studies that have also investigated the effects of BA supplementation as a training aid for interval training (10,16). However, limitations with the training and testing protocols and the training status of the subjects have made it difficult to extrapolate the results of these investigations to the current study.
Gross et al. (16) required participants to perform 90 s of severe intensity (110% peak power output) cycling both before and after BA supplementation (3.2 g·d−1 for 38 d) and after an 11-d high-intensity interval training (HIT) block (9 sessions; 4 × 4 min at 90%–95% maximum HR), which followed supplementation. Importantly, supplementation was halted before the training intervention which resulted in an 8% reduction in the augmented carnosine content throughout the training block which may have reduced the efficacy of the supplementation loading phase. Furthermore, the subjects in the study were previously untrained individuals who performed an exercise test that was fixed in duration and intensity which is not representative of a true competitive performance protocol. In addition, the 11-d HIT block may not have allowed for adequate recovery time between training sessions to promote recovery and facilitate performance adaptations, particularly in the untrained subjects recruited in the study. The importance of rest days between interval training sessions was emphasized in a recent study (28) that showed peak and mean power output elicited during a Wingate test were unchanged after 14 consecutive days of sprint training; however, when subjects performed the same number of training sessions over 6 wk (i.e., with 1–2 d of rest between training sessions), power output improved significantly.
Cochran et al. (10) studied the effects of BA supplementation on training performance during a 6-wk SIT intervention (three weekly sessions consisting of 4–6 Wingate tests) and cycling performance tests (250-kJ time-trial and a repeated sprint test) performed pretraining and posttraining. The authors reported that the total work performed during each training session was similar between the PL and BA group, as well as markers of mitochondrial content, V˙O2peak, repeated-sprint capacity, and 250-kJ TT performance. Several major differences in the training protocols between the present study and that of Cochran et al. (10) are likely to be responsible for the contrasting effects on performance. First, we chose to prescribe distance-based intervals (1 km) compared with duration-based intervals (30 s) (16). Recent research (1) has suggested that individuals undertake duration-based cycling trials with a more conservative pacing strategy compared with distance-based cycling trials which may be a confounding factor (29) and mask any ergogenic potential that supplementation with BA can provide. Second, we required our participants to perform our SIT protocol before supplementation to ensure that BA supplementation had the potential to increase training intensity, which was an omission from the study of Cochran et al. (10). We were able to demonstrate a significant improvement in mean power output and performance time in sprints 3 and 4 of the 4 × 1-km cycling sprints after 28 d of BA supplementation which ensured that our SIT protocol provided the appropriate opportunity to allow the cyclists to increase their training intensity in response to BA supplementation. Third, we used cyclists who we considered “endurance-trained” (V˙O2max = 4.5 ± 0.6 L·min−1) (12) before entering the study, compared with previously healthy but untrained subjects included in the study of Cochran et al. (10). Indeed, the training stimulus may have overwhelmed any potential influence of BA supplementation on physiological or performance measures in the untrained participants recruited for the study of Cochran et al. (10).
In the present study, the superior improvement in exhaustive supramaximal exercise following SIT in BA was accompanied by an augmentation in anaerobic capacity, whereas there was no change in anaerobic capacity after training in the PL. Indeed, the increase in the absolute anaerobic energy yield in BA may explain the superior improvement in exhaustive supramaximal-intensity cycling compared with PL. Considering BA trained at a higher intensity throughout the SIT program, it may suggest that improvements in anaerobic capacity are intensity-dependant. It has been demonstrated that muscle contents of ATP and PCr are not changed by SIT (26). However, anaerobic glycolysis is a key metabolic process that accounts for approximately 70% to 80% of anaerobic capacity (25). Thus, augmentation of anaerobic glycolysis is likely to be the main metabolic pathway accounting for the increase in anaerobic capacity. The possible mechanisms that contribute to augmented anaerobic glycolysis during intense exercise after SIT may include an increase in glycolytic flux rate due, in part, to higher phosphofructokinase and/or hexokinase activity (22,24). However, this has not been a universal finding in well-trained athletes after interval training as Weston et al. (40) reported that the activities of hexokinase and phosphofructokinase did not change with HIT. However, it is possible that the intervals used by Weston et al. (40) were performed at too low an intensity (85% of peak aerobic power) to provide an appropriate stimulus that would augment glycolytic enzyme activity. Augmentation of glycolytic enzymes may be expected to not only enhance the volume of anaerobic energy production but also the rate at which ATP is produced from anaerobic glycolysis. In the present study, we contrasted the post-SIT anaerobic capacity measured at the time equal to the TTE of the preloading supramaximal cycling test (i.e., work-matched comparison) which revealed remarkably similar values. This suggests that the SIT program used in the current study did not alter the rate of anaerobic ATP production during supramaximal cycling. Rather, the anaerobic capacity in BA increased as a result of the prolonged exercise duration after SIT. Therefore, we suggest that the augmented absolute anaerobic capacity is a result of an enhanced muscle buffering capacity which has been reported to be an important physiological adaptation in trained individuals from both HIT (40) and SIT (37). A high concentration of H+ ions has a known inhibitory effect on glycolytic enzyme activity, including phosophofructokinase (34). Thus, improved skeletal muscle buffering capacity could indirectly contribute to an improved absolute glycolytic ATP yield by prolonging the activity of phosophofructokinase by better managing ionic perturbations during intense exercise. Although further examination of this mechanism is required, augmentation in skeletal muscle buffering capacity is a prospective mechanism that may have enhanced anaerobic capacity in BA after SIT.
In addition to improvements in anaerobic capacity, BA displayed significantly higher values of blood lactate concentration during the final SIT session. One of the mechanisms behind the efficacy of SIT for exercise performance may be related to increased lactate exposure which is suggested to increase mitochondrial biogenesis and the expression of lactate transporters (8) which may improve the ability of the muscle to release lactate and H+ during intense contractions and enhance high-intensity endurance performance (30). Indeed, it has been reported that the lactate anion affects muscle-signalling pathways, leading to an increase in cytochrome c oxidase mRNA and protein, and also PGC-1α expression (18). The augmented anaerobic capacity in BA may have resulted in an acceleration of glycogenolysis, resulting in a mismatch between the rates of pyruvate production and oxidation, which lead to the increase in lactate production. Thus, if lactate is an important signalling molecule, greater increases in muscle lactate production during training in BA may have served to promote even greater trained-induced muscular adaptations compared to PL.
In summary, the present study has shown that 5 wk of SIT, by subjects who are already well trained, accompanied by chronic BA supplementation, leads to robust changes in supramaximal cycling performance and anaerobic capacity. BA supplementation increased training intensity during extreme-intensity bouts of cycling sprints (i.e., SIT) which provided additional benefits to cyclists performing exhaustive supramaximal-intensity cycling compared to SIT alone. The additional improvement in supramaximal-intensity cycling after SIT and BA supplementation does not seem to be explained by differences in V˙O2peak but is likely to be associated with the greater improvements in anaerobic capacity.
1. Abbiss CR, Thompson KG, Lipski M, Meyer T, Skorski S. Pacing differs between time- and distance-based time trials in trained cyclists. Int J Sports Physiol Perf
. 2016; Epub ahead of print. DOI: 10.1123/ijspp.2015-0613.
2. Baguet A, Koppo K, Pottier A, Derave W. Beta-alanine supplementation reduces acidosis but not oxygen uptake response during high-intensity cycling exercise. Eur J Appl Physiol
3. Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Sportscience
4. Bellinger PM, Minahan C. Reproducibility of a laboratory based 1-km Wattbike cycling time trial
in competitive cyclists. J Sci Cycling
5. Bellinger PM, Minahan CL. Metabolic consequences of β-alanine supplementation during exhaustive supramaximal cycling and 4000-m time trial
performance. Appl Physiol Nutr Metab
. 2016; Epub ahead of print. DOI: 10.1139/apnm-2016-0095.
6. Bex T, Chung W, Baguet A, et al. Muscle carnosine
loading by beta-alanine supplementation is more pronounced in trained vs. untrained muscles. J Appl Physiol
7. Blancquaert L, Everaert I, Derave W. Beta-alanine supplementation, muscle carnosine
and exercise performance. Curr Opin Clin Nutr Metab Care
8. Brooks GA. Cell-cell and intracellular lactate shuttles. J Physiol
. 2009;587(Pt 23):5591–600.
9. Burke LM, Hawley JA, Wong SH, Jeukendrup AE. Carbohydrates for training and competition. J Sports Sci
. 2011;29(1 Suppl):S17–S27.
10. Cochran AJ, Percival ME, Thompson S, et al. β-Alanine supplementation does not augment the skeletal muscle adaptive response to 6 weeks of sprint interval training. Int J Sport Nutr Exerc Metab
11. Creer AR, Ricard MD, Conlee RK, Hoyt GL, Parcell AC. Neural, metabolic, and performance adaptations to four weeks of high intensity sprint-interval training in trained cyclists. Int J Sports Med
12. De Pauw K, Roelands B, Cheung SS, De Geus B, Rietjens G, Meeusen R. Guidelines to classify subject groups in sport-science research. Int J Sports Physiol Perform
13. Dutka TL, Lamboley CR, McKenna MJ, Murphy RM, Lamb GD. Effects of carnosine
on contractile apparatus Ca2+
sensitivity and sarcoplasmic reticulum Ca2+
release in human skeletal muscle fibers. J Appl Physiol
14. Foster C, De Koning JJ, Hettinga F, et al. Pattern of energy expenditure during simulated competition. Med Sci Sports Exerc
15. Foster C, Florhaug JA, Franklin J, et al. A new approach to monitoring exercise training. J Strength Cond Res
16. Gross M, Boesch C, Bolliger CS, et al. Effects of beta-alanine supplementation and interval training on physiological determinants of severe exercise performance. Eur J Appl Physiol
17. Gunnarsson TP, Bangsbo J. The 10-20-30 training concept improves performance and health profile in moderately trained runners. J Appl Physiol
18. Hashimoto T, Hussien R, Oommen S, Gohil K, Brooks GA. Lactate sensitive transcription factor network in L6 cells: activation of MCT1 and mitochondrial biogenesis. FASEB J
19. Hobson RM, Harris RC, Martin D, et al. Effect of beta-alanine, with and without sodium bicarbonate, on 2000-m rowing performance. Int J Sport Nutr Exerc Metab
20. Hopkins WG. Measures of reliability in sports medicine and science. Sports Med
21. Iaia FM, Thomassen M, Kolding H, et al. Reduced volume but increased training intensity elevates muscle Na + -K+ pump alpha1-subunit and NHE1 expression as well as short-term work capacity in humans. Am J Physiol Regul Integr Comp Physiol
22. Jacobs I, Esbjörnsson M, Sylvén C, Holm I, Jansson E. Sprint training
effects on muscle myoglobin, enzymes, fiber types, and blood lactate. Med Sci Sports Exerc
23. Kendrick IP, Harris RC, Kim HJ, et al. The effects of 10 weeks of resistance training combined with beta-alanine supplementation on whole body strength, force production, muscular endurance and body composition. Amino Acids
24. MacDougall JD, Hicks AL, MacDonald JR, McKelvie RS, Green HJ, Smith KM. Muscle performance and enzymatic adaptations to sprint interval training. J Appl Physiol
25. Medbø JI, Mohn AC, Tabata I, Bahr R, Vaage O, Sejersted OM. Anaerobic capacity determined by maximal accumulated O2
deficit. J Appl Physiol
26. Nevill ME, Boobis LH, Brooks S, Williams C. Effect of training on muscle metabolism during treadmill sprinting. J Appl Physiol
27. Painelli Vde S, Roschel H, Jesus Fd, et al. The ergogenic effect of beta-alanine combined with sodium bicarbonate on high-intensity swimming performance. Appl Physiol Nutr Metab
28. Parra J, Cadefau JA, Rodas G, AmigÓ N, CussÓ R. The distribution of rest periods affects performance and adaptations of energy metabolism induced by high-intensity training in human muscle. Acta Physiol Scand
29. Paton CD, Hopkins WG. Tests of cycling performance. Sports Med
30. Pilegaard H, Domino K, Noland T, et al. Effect of high-intensity exercise training on lactate/H+
transport capacity in human skeletal muscle. Am J Physiol
. 1999;276(2 Pt 1):255–61.
31. Rønnestad BR, Hansen J, Vegge G, Tønnessen E, Slettaløkken G. Short intervals induce superior training adaptations compared with long intervals in cyclists - an effort-matched approach. Scand J Med Sci Sports
32. Serresse O, Lortie G, Bouchard C, Boulay MR. Estimation of the contribution of the various energy systems during maximal work of short duration. Int J Sports Med
33. Smith AE, Moon JR, Kendall KL, et al. The effects of beta-alanine supplementation and high-intensity interval training on neuromuscular fatigue and muscle function. Eur J Appl Physiol
34. Spriet LL, Söderlund K, Bergström M, Hultman E. Skeletal muscle glycogenolysis, glycolysis, and pH during electrical stimulation in men. J Appl Physiol
35. Stegen S, Bex T, Vervaet C, Vanhee L, Achten E, Derave W. β-Alanine dose for maintaining moderately elevated muscle carnosine
levels. Med Sci Sports Exerc
36. Stellingwerff T, Decombaz J, Harris RC, Boesch C. Optimizing human in vivo dosing and delivery of β-alanine supplements for muscle carnosine
synthesis. Amino Acids
37. Stepto NK, Hawley JA, Dennis SC, Hopkins WG. Effects of different interval-training programs on cycling time-trial performance. Med Sci Sports Exerc
38. Stevens AW, Olver TT, Lemon PW. Incorporating sprint training
with endurance training improves anaerobic capacity and 2,000-m erg performance in trained oarsmen. J Strength Cond Res
39. Tobias G, Benatti FB, Salles Painelli V, et al. Additive effects of beta-alanine and sodium bicarbonate on upper-body intermittent performance. Amino Acids
40. Weston AR, Myburgh KH, Lindsay FH, Dennis SC, Noakes TD, Hawley JA. Skeletal muscle buffering capacity and endurance performance after high-intensity interval training by well-trained cyclists. Eur J Appl Physiol