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. 2024 Sep 3;19(9):e0309404. doi: 10.1371/journal.pone.0309404

Effect of high-dose β-Alanine supplementation on uphill cycling performance in World Tour cyclists: A randomised controlled trial

Silvia Pérez-Piñero 1, Domingo Jesús Ramos-Campo 2, Francisco Javier López-Román 1,3,*, Raquel Ortolano 1, Antonio Torregrosa-García 1, Antonio Jesús Luque-Rubia 1, Natalia Ibáñez-Soroa 1, Luis Andreu-Caravaca 1,4, Vicente Ávila-Gandía 1
Editor: Fenghua Sun5
PMCID: PMC11371202  PMID: 39226288

Abstract

Scientists and coaches seek effective ergogenic aids for performance improvement. Cyclists commonly use β-Alanine, which may enhance post-exercise recovery and physical performance. High-dose β-Alanine supplementation’s impact on World Tour cyclists during a 7-day camp remains unstudied. This study aimed to analyse the effect of a high dose of β-alanine in World Tour cyclist during a 7-day camp. A double-blinded, randomised controlled trial was conducted. 11 cyclists were included in the final analysis: β-alanine supplementation (n = 5; VO2max: 67.6±1.6 ml/kg/min) and a placebo group (n = 6; VO2max: 68.0±2.4 ml/kg/min). The duration of the supplementation protocol was seven days with four daily intakes. The subjects commenced supplementation after the physical tests (immediately following the snack) and consumed the final intake after breakfast on the day of the final test (a total of 7 days and 3 additional doses, 31 servings in total; 5g per dosage; 155g the total cumulative amount). Before and after seven days of supplementation, the cyclists performed an uphill time trial. Blood lactate, heart rate and rating of perceived exertion were measured during test. β-alanine supplementation improved the relative mean power attained during the time-trial compared with the control group (Z = -2.008; p = 0.045; Δ = 0.060), as well as the time needed to complete this trial (Z = -2.373; p = 0.018). As for physiological and metabolic variables, no significant change was found. In conclusion, the present study supports the effectiveness of one-week high dose of β-alanine during a cycling training in World Tour cyclists to improve their uphill time-trial performance. In addition, it is important to highlight the potential role of β-alanine in improving recovery power. This aspect is particularly relevant in the context of a training camp, where fatigue levels can increase alongside training intensity.

Trial registration: This study was registered in ClinicalTrials.gov: (identifier: NCT04427319).

Introduction

Professional road cycling performance is a complex subject that is affected by a number of uncontrollable variables, such as altitude, tactic, wind, weather and so on [1]. From a physiological point of view, aerobic metabolism is prevalent in professional cycling. However, anaerobic metabolism determines performance in some phases of the stages, such as sprint, mountain stages or time-trial stages [1]. In addition, the ability to maintain high maximal mean power outputs after high amounts of work done (i.e., fatigue) is an important parameter for success in professional cyclists [2]. During these segments, an increased reliance on glycolysis to maintain ATP supply indicates a greater anaerobic energy release [3]. During the intense muscle activity that is associated with these efforts, an increase in cellular production of H+ greatly contributes to fatigue by muscle acidosis [4]. This could eventually reduce power during high-intensity phases, such as in mountain ascents. Thus, increasing buffering capacity could help to improve performance in these high-intensity efforts during a cycling race.

Developing the most effective and efficient training method to optimize cycling performance has been the focus of many scientists and coaches. While training strategies are crucial, it’s also important to consider the integration of legal ergogenic aids, which is a popular approach among athletes, particularly cyclists, seeking to maximize their physical performance [5]. Among others, intake β-alanine (β-alanine) is used by high-level athletes and specifically by cyclists, and is one of the five currently most popular supplements endorsed by International Olympic Committee [6]. β-alanine is a nonproteogenic amino acid that once ingested combines with L-histidine within skeletal muscle and other organs to form carnosine [7], which is the rate-limiting step in muscle carnosine synthesis [8]. The increase of carnosine content in skeletal muscle enhances intracellular buffering capacity, which enables a greater tolerance of sustained anaerobic activity [7]. Previous studies have also suggested that intramuscular carnosine can increase muscle force production due to the higher Ca+2/H+ exchanger in the fibre, increased H+ binding to carnosine and Ca+2 unloading at the sarcomere, subsequently increasing cross-bridge formation and force production [9,10]. Moreover, the antioxidant, antiglycating and ion-chelating effects of carnosine have been reported [1113]. This suggests the possible beneficial effect of β-alanine supplementation in the recovery process and subsequent exercise performance [7].

The existing evidence from previous meta-analysis studies has demonstrated the efficacy of β-alanine supplementation on exercise capacity and performance [14,15]. However, some moderating factors can alter the effectivity of the supplementation protocol. In particular, greater gains are expected in exercises from 30 s to 10 min of duration, while other shorter (<30 s) [14] or in longer exercise durations (i.e. physical performance in aerobic–anaerobic transition zones) [16] show no effect or controversial results. Most previous studies of the effect of β-alanine supplementation on cycling performance have been developed in laboratory conditions [1719], which is far from a practical point of view. Recently, a study analysed the effect of β-alanine supplementation on cycling performance using a novel exercise protocol that is representative of the demands of road-race cycling but in laboratory conditions. The authors showed that chronic β-Alanine supplementation increased muscle carnosine content but did not improve cycling performance [20].

Study population can also affect the result of β-alanine supplementation because the effect of β-alanine on trained individuals is lower than in nontrained individuals [14]. Consequently, the background of β-alanine in cycling has been developed using amateur or trained cyclists [1820]. The effect in World Tour cyclists is scarce. The only study was published by our research group, which analysed the effect of β-alanine supplementation in this population [21].

Finally, the β-alanine effect is also modified by supplementation dosage. The efficacy of chronic supplementation with doses ranging from 1.5 to 6.4 g/day for between 4 and 10 weeks has been shown for athletic performance [7,14]. However, doses higher than 6.4 g per day produce a greater risk of symptoms of paresthesia. This sensation of flushing is associated with an irritant tingling in the ears, scalp, hands, and torso [16] and is the limiting factor for acute B-ala intake. Recently, to avoid this symptom, the supplementation protocol has been focused on administering smaller amounts of a sustained-release formulation of β-alanine throughout the day, which permits greater doses without the risk of paresthesia. For example, a previous study has used higher dosing protocols (12 g per day) of sustained-release formulation to accelerate the increase in carnosine content in skeletal muscle while attenuating paresthesia [22]. However, only one study by our research group has used higher dosage of β-alanine (20 g/day) during seven days of supplementation to optimise cycling performance without paresthesia [21]. No study has yet analysed the effect of high-dose β-alanine supplementation during seven days in a real uphill cycling time trial in World Tour cyclist. Therefore, the aim of the present study was to analyse the effect of one-week high dose of β-alanine during a cycling training camp that was held for World Tour cyclists to improve their uphill time-trial performance. Based on the previous research, our hypothesis was that β-alanine supplementation would significantly improve power and uphill time-trial performance in World Tour cyclists.

Methods

Design

A double-blind, randomised controlled trial (RCT) was conducted with two arms—that is, β-alanine supplementation (BA) and a placebo group (PLA)—during one intensive training camp week (seven days) (Fig 1). The research was performed during the first camp of the season (January). To analyse the effect of β-alanine on uphill cycling performance, an uphill time-trial measurement was carried out at pre- and post-7-days of β-alanine supplementation (BA) or placebo (PLA). Simple randomization was performed by a scientist not participating in the study, using software (Epidat 4.2, Galicia, Spain) that generated random codes which were assigned to participants. The trial was approved by the Ethics Committee of UCAM (ID number: CEO12004) and was conducted in accordance with the Declaration of Helsinki. The trial design followed Consort guidelines for RCT. This study was registered in ClinicalTrials.gov (identifier: NCT04427319).

Fig 1. CONSORT diagram of the study.

Fig 1

Participants

In total, 12 World Tour cyclists belonging to a top five road World Team of the Union Cycliste Internationale (UCI) were initially recruited for this study. In total, 11 were included in the final analysis because one participant from the BA group dropped out from the study due to a race that he had to attend. Recruitment began on March 6 and ended on June 12, 2020. The sample size was calculated according to the mean power as the main variable of the study. Considering a standard deviation of mean power of 12.3 W reported in a similar population [21], for a precision of 17 W with an alpha risk of 5% and statistical power of 80%, for a comparison means test (t-test), 6 subjects in each group. Cyclist were included if they were male professional active cyclist belonging to a UCI World Team and starting the study in a well-rested condition (i.e., not performing intense training the day before). However, they were excluded if: i) they had a chronic disease; ii) had an injury during the month before the study that can affect their training load; iii) had an allergy to β-alanine or placebo components; iv) ingested β-alanine supplementation in the two months before the study; and v) used other performance enhancer supplements during the study or 15 days before it. All of the participants read and signed an informed consent before starting the study.

Supplementation protocol

Cyclists were randomly allocated to a sustained-release β-Alanine powder blend (BA; BETAFOR3MAX®, Martinez Nieto S.A., Cartagena, Spain) or placebo (PL; uncooked wheat semolina from Triticum durum) group. Participants started supplementation after the first testing session and finished it after the breakfast of the same day of the post testing session. In total, the supplementation protocol lasted for seven days with four daily intakes (i.e., breakfast, lunch, snack and dinner). Each single dosage consisted of: 5 g of β-alanine 37.5 mg of L-histidine and 12.5 mg of carnosine (20 g of β-alanine,187.5 mg of L-histidine and 62.5 mg of carnosine per day). A total of 31 servings of 155 g of β-alanine, 1.45 g of L-histidine and 96.87 mg of carnosine (the total cumulative amounts of supplementation) were ingested by the cyclist. None of doping substance were found in the batch employed (PI080120NID), which was analysed by an external laboratory (Informed Sports LGS Supplement Screen service, LGC Group, Cambridgeshire, United Kingdom; certificate of analysis number 3454). The placebo was manufactured by the same company. Both products were similar in appearance and stored in opaque containers. They were weighed and the total amount consumed was checked for compliance. The placebo consisted in 33 g of semolina per day—energy: 126 Kcal, protein: 3.8 g, carbohydrate: 23.1 g, of which sugar were only traces, fibre: 1.3 g, fat: 0.2 g. Additionally, to check blinding of participants, cyclists were surveyed about their beliefs on which product they had received after the study.

Uphill time-trial test

After a standardized warm up (22 minutes following the competitive warm up strategy and power zones of each cyclist: 3 min easy spin + 3 min endurance + 3 min tempo + 2 min at functional threshold power + 2 min easy + 1 min maximum oxygen uptake + 2 min easy + 3 min activation (10 s on + 50 s off) + 3 min easy), the cyclist performed an uphill time trial in the Coll de Rates (Alicante, Spain) over a distance of 4.5 km and with a slope of 5%. All the cyclists used the same model of bicycle (Shimano Ultegra Di2, Eindhoven, Netherlands), which is the one provided by the team for the season. All the bicycles were adapted to each athlete with biomechanical studies. During the test, mean power (absolute (W) and relative (W/kg)) was measured using a powermeter (Garmin Vector 3, Garmin International, Olathe, KS, USA). In addition, the time to complete the time trial was registered. Additionality, a capillary blood sample (5 μl) was collected by a finger prick to determine blood lactate concentration using the Lactate Pro 2 (Lactate Pro, Arkay, Inc, Kyoto, Japan) pre-, immediately post- and 3 min post-exercise. The mean heart rate (Polar RS800, Polar Electro Oy, Kempele, Finland) was recorded during the time trial. In addition, ratings of perceived exertion (RPE) were determined using the 10-point Borg scale following warm up and after the time trial. A questionnaire to analyse paresthesia [21] was used in baseline, after the first day of intake and after the last day of intake.

Training program during the training camp

All of the cyclists involved in the experiment performed the same training plan during the week. All of the training sessions were recorded using GPS bike computer (Garmin Edge 530, Garmin International, Olathe, KS, USA) and a powermeter (Garmin Vector 3, Garmin International, Olathe, KS, USA). The training plan included two days of low intensity cycling workouts and three days of moderate intensity with uphill workout. Cycling was performed during the training session together and at the same time of the day. Training load was calculated as the daily mean during the five days of intense training camp week. The first and the last day (testing days) were not included in the training load. External load was measured using the Training Stress Score™ (TSS) proposed by Coggan [23] using the formula:

TSS=[(txNPxIF)/(FTPx3600)]x100

where t is the duration of the workout, NP is normalized power, IF is a ration between NP of the workout and the individual’s functional threshold power (FTP), which give an intensity factor. FTP was assessed by an incremental lab test based on the power output at 4 mmol/L of lactate. The test commenced with an initial resistance of 110 W, with subsequent increments of 35 W every 4 minutes [24].

Statistical analysis

Data collection, treatment and analysis were analysed using the SPSS for Windows statistical package (version 25.0; IBM, Armonk, NY). First, descriptive statistics with measures of central tendency (median) and dispersion (interquartile range (IQR) were calculated. Taking into account the sample size, non-parametric tests were implemented. Initially, we assessed whether there were statistically significant improvements in each variable from the initial to the final measurement within each group. For this purpose, we employed the Wilcoxon Signed-Rank Test. To determine the efficacy of the product, we calculated the changes in each variable (final test value—initial test value) and compared these changes between the experimental and placebo groups using the Mann-Whitney U Test. Additionally, the difference in increments between the placebo and product groups is reported. For all procedures, a level of significance of p≤0.05 was selected to indicate statistical significance.

Results

In total, 12 world tour cyclists were initially recruited and 11 were included in the final analysis. One subject from the BA group dropped out from the study due to a race that he had to attend. The cyclists were allocated in PLA and BA. Descriptive characteristics are presented in Table 1. No significant differences between groups were found in these descriptive characteristics of the sample.

Table 1. Subject characteristics of the sample.

Characteristics PL (n = 6) BA (n = 5)
Age (years) 25 (22.5–28.5) 25.0 (24.0–28.0)
Weight (kg) 66.3 (66.3–72.5) 69.1 (67.3–72.8)
Height (cm) 177.0 (172.8–187.5) 181.0 (178.5–185.0)

BA: β-alanine group; PL: Placebo group. Data are presented as median (IQR).

With respect to the performance variables, a significant effect was observed on the time trial (Z = -2.373; p = 0.018; Δ = -10.00; Δ IQR: -10.0–25.0), showing an improvement in BA in the post-test (Pre: 606.6; IQR: 592.8–633.5 s; Post: 588.0; IQR: 540.0–620.0 s; p = 0.043; Z = -2.023) in comparison with baseline, while PLA maintained the time trial in both testing session (Pre: 620.0; IQR: 609.3–637.8 s; Post: 637.0; IQR: 613.8–659.8 s; p = 0.249; Z = -1.153) (Fig 2). Similarly, a significant effect was observed in the relative power developed during the test (Z = -2.008; p = 0.045; Δ = 0.060; Δ IQR: -0.13–0.11). This difference can be attributed to the non-significant improvement observed in BA (Pre: 6.05; IQR: 5.7–6.1 W/kg; Post: 6.1; IQR: 5.8–6.3 W/kg; p = 0.043; Z = -2.023) and the maintenance in PLA (Pre: 5.77; IQR: 5.6–5.9 W/kg; Post: 5.65; IQR: 5.5–5.9 W/kg; p = 0.249; Z = -1.153) (Fig 3). In addition, no main effect was found in absolute power (Z = -1.643; p = 0.100; Δ = 7.12; Δ IQR: -15.83–22.58), indicating maintenance in PLA (Pre = 438.19; IQR: 413.6–477.8 W; Post: 447.8; IQR: 399.5–460.9 W; p = 0.600; Z = -0.524) and a non-significant improvement in BA (Pre = 456.3; IQR: 417.3–463.8 W; Post: 469.9; IQR: 433.1–494.8 W; p = 0.080; Z = -1.753).

Fig 2. Time to complete the time trial (median +/- 95% confidence interval) in both groups before and after supplementation (PLA: Placebo group; BA: β-Alanine group).

Fig 2

# p < 0.05 for the comparison in the evolution of the placebo and β-Alanine groups (ANOVA for repeated measures); * p < 0.05 for within-group comparisons in the groups (post hoc analysis, Bonferroni tests).

Fig 3. Relative mean power (median +/- 95% confidence interval) during the time trial and in both groups before and after supplementation (PLA: Placebo group; BA: β-Alanine group).

Fig 3

# p < 0.05 for the comparison in the evolution of the placebo and β-Alanine groups (ANOVA for repeated measures); * p < 0.05 for within-group comparisons in the groups (post hoc analysis, Bonferroni tests).

Regarding physiological and metabolic variables, no significant main effect was found in mean heart rate (Z = -1.643; p = 0.100; Δ = 0.60; Δ IQR: -6.22–4.17) (Fig 4A) and in blood lactate concentration (Z = -1.555; p = 0.120; Δ = 0.200; Δ IQR: -2.00–0.30) (Fig 4B). Moreover, no significant effect was observed in the rating of perceived exertion (Z = -2.220; p = 0.026; Δ = 0.00; Δ IQR: -0.00–1.00) (Figs 4C, 5 and 6).

Fig 4. Heart rate (median +/- 95% confidence interval) in both groups before and after supplementation (PLA: Placebo group; BA: β-Alanine group).

Fig 4

Fig 5. Blood lactate concentration (median +/- 95% confidence interval) in both groups before and after supplementation (PLA: Placebo group; BA: β-Alanine group).

Fig 5

Fig 6. Rating of Perceived Exertion (median +/- 95% confidence interval) in both groups before and after supplementation (PLA: Placebo group; BA: β-Alanine group).

Fig 6

* p < 0.05 for within-group comparisons in the groups (post hoc analysis, Bonferroni tests).

Finally, Table 2 shows the training load characteristics of the five days of intense training (the test days was not included). No differences between groups were observed in volume (hours: p = 0.766), normalized power (p = 0.948) or training stress score (p = 0.517).

Table 2. Training load characteristics during the five days of intense training.

Outcome PL (n = 6) BA (n = 5) p value
Volume (hours) 4.92 (4.80–5.08) 5.10 (4.96–5.14) 0.177
Distance (km) 154.82 (149.80–158.35) 159.45 (153.53–160.34) 0.329
Mean Power (w) 178.67 (173.31–195.10) 187.50 (179.66–201.67) 0.429
Normalized Power (w) 258.90 (236.40–277.75) 265.00 (246.70–270.60) 0.931
Training Stress Score 258.78 (225.01–323.02) 276.60 (255.89–388.24) 0.429

BA: β-alanine group; PL: Placebo group. Data are presented as median (interquartile range).

Discussion

To our knowledge, this is the first study to analyse the effect of one-week high dose of β-alanine during a cycling training camp that was held for World Tour cyclists to improve their uphill time-trial performance. The main finding of the present research is that β-alanine supplementation improved cycling uphill time-trial performance by relative mean power and time to complete the time-trial. Moreover, a one-week high dose of β-alanine supplementation seems to minimise the fatigue that is associated with a cycling training camp. Ergogenic aid in periods of high load of training would be an interesting strategy.

Remarkably, the results from this study demonstrated a notable enhancement (approximately 5%) in the time taken to complete the 4.5 km uphill time trial following seven days of β-alanine supplementation, while the cyclists who ingested the placebo maintained their performance (i.e., the performance was no significantly impaired (~2%)). Our results are in accordance with a previous study [19] that analysed the effect of chronic β-alanine supplementation (four weeks and 6.4 gr per day) and found an improvement in 4 km flat time trial in trained cyclists. However, another study found an increase in muscle carnosine but no improvements in short-duration sprint performance throughout simulated road-race cycling or in a 4 km uphill time-trial performance that was conducted at the end of this cycling test by an amateur cyclist [20]. There are several reasons to explain these controversial results. First, it has been previously reported that exercise duration can determine the beneficial effect of the β-alanine supplementation. The duration of the uphill time-trial performed in the present research was around 10 minutes, which is in the range of efficacy reported in a previous meta-analysis (from 30 s to 10 min of duration) [14]. Second, the training status of the sample used in the study can also affect β-alanine supplementation because it is lower in nontrained individuals than in trained individuals [14]. In this sense, previous studies regarding cyclist and β-alanine [1820] were developed using amateur or trained cyclists but not with a World Tour cyclist, like the present study. This fact can also be taken into consideration to explain our data. Finally, the supplementation protocol affects β-alanine effect and also the paresthesia symptoms. In the present study supplementation protocol took a duration of seven days with four daily intakes of 5 g of β-alanine (20 g/day; 155 g in total), whereas in the previously evidence chronic supplementation used a range between 1.5–6.4 g/day and from 4 to 10 weeks of duration [7,14]. The current study’s supplement plan employed a slow-release formula, potentially speeding up the rise in carnosine levels in muscles within just a week. Additionally, reducing tingling sensations could be a helpful step before a major race or event.

Based on previous studies where participants ingested a totally of 134.4–448 gr of β-alanine [22,2527], it is reasonable to assume that 155 gr β-alanine supplementation caused a significant increment of carnosine content in both muscle fibres (type I and II) promoting an increase in the intracellular buffer capacity of the muscle. These physiological effects associated with carnosine can explain the findings observed in the present study. First, muscle buffer capacity can produce a greater tolerance of sustained anaerobic activity [7], which is associated to efforts such as the 4.5 km uphill time trial that was performed by the cyclist in the present research. Therefore, this type of exercise increases reliance on glycolysis to maintain ATP supply, increasing in cellular production of H+, which contributes to fatigue by muscle acidosis [4]. Our data suggest that this mechanism may be attenuated by the supplementation of β-alanine proposed. In addition, the greater uphill time-trial performance observed after β-alanine supplementation can be associated with the higher muscle force production by cross-bridge formation due to the higher Ca+2/H+ exchanger in the fibre, increasing H+ binding to carnosine and producing Ca+2 unloading at the sarcomere [9,10].

Interestingly, β-alanine reduced fatigue and improved performance during the training camp, while PLA tend to decrease uphill time-trial performance. During the training camps, the load used to increase and over-reaching is common [21]. However, our results suggest a lower fatigue and higher performance in BA during the uphill time trial test. This is related also with the blood lactate concentration observed during the test, where the participants of BA group showed a trend to increase anaerobic glycolysis and obtain higher blood lactate concentration at the end of the test. Meanwhile, the PLA group showed the opposite effect, reporting lower values of blood lactate concentration. This finding may be related to the antioxidant, and antiglycating and ion-chelating effect of carnosine [1113]. Although this theory is not confirmed in humans yet, evidence suggests the possible beneficial effect of β-alanine supplementation in the recovery process [7]. This finding could be particularly valuable in training camps, especially when cyclists are undergoing intense training phases with heavy loads or pushing themselves to their limits.

However, it’s important to note some limitations that should be considered when interpreting the data. First, muscle carnosine content was not measured in the present study (via biopsy or magnetic resonance spectrometry). This outcome has not been evaluated because an invasive technique that can condition the training process of a professional cyclist is necessary to obtain it. Therefore, it was not considered relevant by the team’s medical services and the researchers. Moreover, another limitation was the small number of participants who took part in the research study, due to the low availability of these elite professional cyclists. It is very difficult to get access to this type of athlete and this would be considered as one of the strengths of the present study. In addition, another of the strengths is the practical application of the results obtained in the present study to the real field. Therefore, from a practical application point of view, if coaches or cyclists want to obtain a beneficial performance effect in an uphill time trial (4.5 km), or they want to reduce the fatigue in a training camp, then they may include a sustained-release β-alanine supplementation during seven days with four daily intakes of 5 g of β-alanine (20 g/day).

Conclusion

The data in the present study demonstrated the effectiveness of one-week high dose of β-alanine during a cycling training camp in World Tour cyclists on uphill time-trial performance

Supporting information

S1 Checklist. CONSORT 2010 checklist of information to include when reporting a randomised trial*.

(DOC)

pone.0309404.s001.doc (220KB, doc)
S1 File

(XLSX)

pone.0309404.s002.xlsx (10.1KB, xlsx)
S2 File

(PDF)

Acknowledgments

The authors thank the staff of the Department of Sports Physiology of the Catholic University of Murcia (UCAM) for their technical support. We also thanks Martinez Nieto S.A. for manufacturing and providing the product and placebo used in this study.

Data Availability

The data underlying the results presented in the study are available upon request to Catholic University of Murcia`s Science Ethics Committee. Dra. Lourdes Meroño García; lmerono@ucam.edu.

Funding Statement

The author(s) received no specific funding for this work.

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Decision Letter 0

Fenghua Sun

2 Apr 2024

PONE-D-24-04397Effect of high-dose β-Alanine supplementation on uphill cycling performance in World Tour cyclists: A randomised controlled trial.PLOS ONE

Dear Dr. López-Román,

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Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Partly

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: N/A

**********

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Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

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Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: A two-arm randomized controlled trial was conducted which aimed to investigate the effectiveness of ergogenic aids (beta-alanine) on uphill cycling performance (n=11). The conclusions are unclear.

Major revision:

A comprehensive reanalysis is required.

1- Since sample sizes of 5 and 6 are too small to be tested for a normal distribution, use nonparametric tests for the analysis, i.e., use the Wilcoxon rank sum test instead of the t-test. Furthermore, summarize data using medians and first and third quartiles instead of means and standard deviations.

2- Line 214: In the statistical methods section, list and describe the use of all statistical methods. Due to the small sample size, nonparametric statistical methods are needed.

Minor revisions:

1- Line 132: Indicate the statistical testing method which attains 80% power.

2- The standard statistical term for average is mean.

3- Table 1: In the table header, indicate the sample sizes.

4- Include a table of subject characteristics (age, race, BMI, etc.) by randomization arm.

Reviewer #2: This study included a small cohort of elite cyclists randomized to placebo or high-dose B-alanine supplementation for 7 days. This was a well-controlled and presented study. However, there are several concerns that should be addressed and revised.

Introduction, line 63-64, this is not entirely true. The buffering capacity enhances aerobic byproduct H+ accumulation as well. Although anaerobic systems initiate the production of the byproducts, beyond 90-120 seconds, the shift to aerobic metabolism is ramped up. B-alanine has been reported to benefit both types of activities, arguably more beneficial in endurance athletes. This is then expanded on somewhat in lines 73-79 but comes up short-sighted when referencing only meta analyses and not primary literature of the actual effect. Please revise. Additionally, suggesting the anaerobic impact of B-alanine as more pronounced counters the proposed purpose and hypothesis in the present study that evaluated an aerobic task.

Introduction, lines 84-85: The ceiling effect mentioned here is from the training/performance perspective rather than the effect of B-alanine. If any individual consumes B-alanine, they will respond differently depending on if their carnosine stores are not optimized. Loading B-alanine can enhance their carnosine, if it is lower than optimal. Loaded or optimized carnosine can then, in turn, shift the training adaptations but those adaptations would be less for trained individuals because they are close to the top of peak performance whereas the untrained individual has the much more growth potential to get to peak.

Line 95: please be consistent with use of B-ala vs B-alanine, completely spelled out is presented throughout the majority of this manuscript. Also: Line 142 spells out “beta” and does not use the B symbol.

Figures 1 and 2 seem to both be the CONSORT flow diagram and they do not share the same sample values throughout the flow. Please include the referred-to training camp scheme and ensure the CONSORT flow is accurate. The CONSORT flow diagram is currently presented in the results section and should be placed in the methods, referenced in the participants section.

Do the authors think the participants in the B-alanine group experienced greater increases in intramuscular carnosine (although not measured) because they consumed B-alanine, L-histidine, and carnosine in the daily product doses?

Were these athletes free of caffeine and other products that may confine the interpretation of the results.

Did the authors document other supplement use? Were the athletes all B-alanine naive (they have never used BA)?

Please mention the type of bike the cyclists were assessed on and trained on. Was it their own personal bike on a trainer? Was each cyclist supplied the Garmin Vector 3 pedals for their bikes? It is not clear in the methods.

Results: please present the power of each analysis conducted. Although the pre-determined sample size was (mostly) met, did the power of each analysis meet desired level?

Please revise the figures to a higher quality. The axes are very difficult to read. Additionally, please present the data as mean +/- SE of the data, not an arbitrary +/- 1SE.

Please present the post-hoc t-tests with additional context of confidence intervals for each comparison. The response (broadly using the data provided) is not as pronounced as the figures indicate because the y-axis is zoomed-in so far.

Results: please refrain from the use of “trend” with such a small sample size per group this “trend” could be null if the sample were doubled. It could also be more pronounced but without the additional data, it is either significant or not, it cannot trend.

Line 289: the dosing described in the methods included this description of 5 g, 4 times a day for 7 days. This would mathematically result in 140g total for the week. However, the dose was listed as 31 total doses of 5 grams. Please revise here or in the methods (or both) to ensure consistent messaging of the dosing.

What is also not clear, and can be clarified with a figure, is the timeline of events. Pre-testing was considered day 1 and the first dose was consumed then, they trained for 5 days and day 7 was post-testing. With this condensed 7-day cycle, the dosing would be less than 140g (5g/dose, 4x per day) or was there an additional day in there somewhere to hit 155g BA?

The results indicate a significant improvement in power and time trial performance for 4.5km. Their average was around 10 minutes to completion. How do these athletes compare to others with similar ability? They are described as World Tour cyclists, but do they compete in Olympic games, Tour de France, 10 minutes for a 4.5 km ride is “slow” for 20-30 year old “average” cyclists nationally (see Gough et al 2021). It is understood this is at 5%grade, but nearly 2-3 minutes longer than other studies report for this 4.5 km distance.

Lines 312-316: the authors reported no significant effect of lactate yet this section of discussion is reaching to suggest lactate contributed to performance enhancement.

There are some places throughout the manuscript that need revised writing for grammatical clarity (ex. Lines 292-294 and others (lines 271, 324, 326)).

Reviewer #3: Overall, the article is written in an orderly and linear manner, and the concepts are clearly expressed.

The understandability and overall quality of the manuscript can certainly be improved by addressing several issues that I raise here.

In line 37, writing just "to improve cycling performance" may seem a bit excessive. It would be beneficial to also highlight the potential role of β-alanine in improving recovery power. This aspect is particularly relevant in the context of a training camp, where fatigue levels can increase alongside training intensity. It is reasonable to consider that reducing chronic fatigue, possibly aided by β-alanine supplementation, could lead to overall higher performances in both groups under similar conditions. This aligns with the assertion made in line 67 of the study.

L54-57 – it is useful to insert a transition sentence between the concept of training and that of integration (ergogenic aids probably do not fit at all with "training strategies")

In line 191, there appears to be a significant limitation in quantifying performance (and load) in this sentence. It's important to provide details about the protocol used for the incremental test and the duration of the test steps. Equating Functional Threshold Power (FTP), defined as the sustainable power for 1 hour, with the power at 4 mmol/l, especially calculated on short steps, may be too approximate. Clarifying this point would enhance the rigor and accuracy of the analysis

In line 222, it's essential to consider whether there were any significant changes in body mass throughout the study. Additionally, it may be worth exploring whether there is a potential effect of β-alanine intake on body mass or body composition, especially considering that power changes less than relative power. This additional analysis could provide valuable insights into the broader effects of β-alanine supplementation beyond performance outcomes.

**********

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Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

**********

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PLoS One. 2024 Sep 3;19(9):e0309404. doi: 10.1371/journal.pone.0309404.r002

Author response to Decision Letter 0


27 Apr 2024

AUTHORS REPLY

A: First of all, we would like to express our gratitude to Reviewer 1 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #1: A two-arm randomized controlled trial was conducted which aimed to investigate the effectiveness of ergogenic aids (beta-alanine) on uphill cycling performance (n=11). The conclusions are unclear.

Major revision:

A comprehensive reanalysis is required.

1- Since sample sizes of 5 and 6 are too small to be tested for a normal distribution, use nonparametric tests for the analysis, i.e., use the Wilcoxon rank sum test instead of the t-test. Furthermore, summarize data using medians and first and third quartiles instead of means and standard deviations.

2- Line 214: In the statistical methods section, list and describe the use of all statistical methods. Due to the small sample size, nonparametric statistical methods are needed.

ANSWER: We thank the reviewer for the valuable review. Below we reply to points 1 and 2:

Non-parametric ANOVA is an alternative method to the traditional Analysis of Variance widely used in statistical analysis. This method is employed when the assumptions of normality and homogeneity of variance are not met. Non-parametric ANOVA is utilized in cases where the data distribution is unknown or the sample size is small. The method relies on data rankings, rendering it more robust and less sensitive to outliers.

Traditional analysis of variance is a statistical technique commonly used for analyzing data with multiple groups.

Some key points to understand traditional ANOVA are:

• Normality assumption: Traditional ANOVA assumes that the data follow a normal distribution. This assumption is necessary because the test is based on calculating the means and variances of the data.

• Equal variances assumption: Traditional ANOVA assumes that the variances of the groups are equal. This assumption is necessary because the test uses the relationship between the between-group variance and the within-group variance to determine if there is a significant difference in means.

• Sensitivity to outliers: Traditional ANOVA is sensitive to outliers, which can skew the means and variances of the data. Outliers can lead to incorrect conclusions about the significance of mean differences.

• Post hoc tests are necessary: If the test finds a significant difference in means, post hoc tests are necessary to determine which groups are significantly different from each other.

Indeed, our samples have a small size: 5 subjects in the experimental group and 6 subjects in the control group.

Therefore, as indicated in lines 196-8, we conducted tests for normality (Shapiro-Wilk test) and homoscedasticity (Levene's Test) to ascertain if we could apply parametric tests to our analysis. All study variables were normally distributed, and the sample variances were equal, so it was decided to apply parametric tests as indicated in lines 198-9: repeated measures ANOVA with two factors under study (an intra-subject factor (test) and an inter-subject factor (product)). In the event of a significant ANOVA result, a Bonferroni test was conducted (lines 199-200).

Minor revisions:

1- Line 132: Indicate the statistical testing method which attains 80% power.

ANSWER: The test has been added.

2- The standard statistical term for average is mean.

ANSWER: Changed

3- Table 1: In the table header, indicate the sample sizes.

ANSWER: Added.

4- Include a table of subject characteristics (age, race, BMI, etc.) by randomization arm.

ANSWER: A table with the descriptive data of the sample has been added.

A: First of all, we would like to express our gratitude to Reviewer 2 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #2: This study included a small cohort of elite cyclists randomized to placebo or high-dose B-alanine supplementation for 7 days. This was a well-controlled and presented study. However, there are several concerns that should be addressed and revised.

Introduction, line 63-64, this is not entirely true. The buffering capacity enhances aerobic byproduct H+ accumulation as well. Although anaerobic systems initiate the production of the byproducts, beyond 90-120 seconds, the shift to aerobic metabolism is ramped up. B-alanine has been reported to benefit both types of activities, arguably more beneficial in endurance athletes. This is then expanded on somewhat in lines 73-79 but comes up short-sighted when referencing only meta analyses and not primary literature of the actual effect. Please revise. Additionally, suggesting the anaerobic impact of B-alanine as more pronounced counters the proposed purpose and hypothesis in the present study that evaluated an aerobic task.

ANSWER: We thank the reviewer for the comment. We would like to clarify that the task performed by cyclists is not aerobic, but mixed and is limited by the energy pool obtained by anaerobic metabolism. During aerobic processes the H+ generated are resynthesised in the mitochondria.

Hargreaves, M., Spriet, LL Skeletal muscle energy metabolism during exercise. Nat Metab 2 , 817–828 (2020). https://doi.org/10.1038/s42255-020-0251-4

Introduction, lines 84-85: The ceiling effect mentioned here is from the training/performance perspective rather than the effect of B-alanine. If any individual consumes B-alanine, they will respond differently depending on if their carnosine stores are not optimized. Loading B-alanine can enhance their carnosine, if it is lower than optimal. Loaded or optimized carnosine can then, in turn, shift the training adaptations but those adaptations would be less for trained individuals because they are close to the top of peak performance whereas the untrained individual has the much more growth potential to get to peak.

ANSWER: We fully agree with the reviewer's comment.

Line 95: please be consistent with use of B-ala vs B-alanine, completely spelled out is presented throughout the majority of this manuscript. Also: Line 142 spells out “beta” and does not use the B symbol.

ANSWER: The term has been unified throughout the manuscript.

Figures 1 and 2 seem to both be the CONSORT flow diagram and they do not share the same sample values throughout the flow. Please include the referred-to training camp scheme and ensure the CONSORT flow is accurate. The CONSORT flow diagram is currently presented in the results section and should be placed in the methods, referenced in the participants section.

ANSWER: This is a mistake. Figure 2 has been deleted. In addition, it has been included in the Method.

Do the authors think the participants in the B-alanine group experienced greater increases in intramuscular carnosine (although not measured) because they consumed B-alanine, L-histidine, and carnosine in the daily product doses?

ANSWER: We do believe so, as this is the conclusion of scientific papers that have measured it. Without measuring it, however, we cannot say for sure. However, taking the reviewer's comment, we will look at intramuscular carnosine in future studies.

Were these athletes free of caffeine and other products that may confine the interpretation of the results.

ANSWER: Yes. This was one of the exclusion criteria for the study:

“iv) ingested β-alanine supplementation in the two months before the study; and v) used other performance enhancer supplements during the study or 15 days before it”.

Did the authors document other supplement use? Were the athletes all B-alanine naive (they have never used BA)?

ANSWER: Inclusion and exclusion criteria were checked. Athletes had used beta alanine at lower doses during the previous cycling seasons. The inclusion and exclusion criteria were set so that previous use would not have an effect on our study. In addition, it is an odourless and tasteless product, and the placebo was of similar presentation. They were asked if they thought they had taken the product:

“From the eleven subjects, eight believed they consumed the experimental product (four from the BA group, and four from the PLA group), while one believed be-longing to the control product (actually in the PLA group) and two doubt (one from BA and one from PLA)”.

Please mention the type of bike the cyclists were assessed on and trained on. Was it their own personal bike on a trainer? Was each cyclist supplied the Garmin Vector 3 pedals for their bikes? It is not clear in the methods.

ANSWER: All the cyclists used the same model of bicycle, which is the one provided by the team for the season. All the bicycles were adapted to each athlete with biomechanical studies. Yes, the pedals were provided and calibrated. This information has been added in the method.

Results: please present the power of each analysis conducted. Although the pre-determined sample size was (mostly) met, did the power of each analysis meet desired level?

ANSWER: Power values have been added in the text.

Please revise the figures to a higher quality. The axes are very difficult to read. Additionally, please present the data as mean +/- SE of the data, not an arbitrary +/- 1SE.

ANSWER: The figures have been modified for higher quality. Regarding the SE, this was a typing error which has now been corrected.

Please present the post-hoc t-tests with additional context of confidence intervals for each comparison. The response (broadly using the data provided) is not as pronounced as the figures indicate because the y-axis is zoomed-in so far.

ANSWER: Following the reviewer's recommendations, the Y-axis of the figures have been modified. In addition, confidence intervals have been added in the text.

Results: please refrain from the use of “trend” with such a small sample size per group this “trend” could be null if the sample were doubled. It could also be more pronounced but without the additional data, it is either significant or not, it cannot trend.

ANSWER: Thank you for your comment. It was amended accordingly.

Line 289: the dosing described in the methods included this description of 5 g, 4 times a day for 7 days. This would mathematically result in 140g total for the week. However, the dose was listed as 31 total doses of 5 grams. Please revise here or in the methods (or both) to ensure consistent messaging of the dosing.

What is also not clear, and can be clarified with a figure, is the timeline of events. Pre-testing was considered day 1 and the first dose was consumed then, they trained for 5 days and day 7 was post-testing. With this condensed 7-day cycle, the dosing would be less than 140g (5g/dose, 4x per day) or was there an additional day in there somewhere to hit 155g BA?

ANSWER: The subjects commenced supplementation after the physical tests (immediately following the snack) and consumed the final intake after breakfast on the day of the final test (a total of 7 days and 3 additional doses, 31 servings in total).

The results indicate a significant improvement in power and time trial performance for 4.5km. Their average was around 10 minutes to completion. How do these athletes compare to others with similar ability? They are described as World Tour cyclists, but do they compete in Olympic games, Tour de France, 10 minutes for a 4.5 km ride is “slow” for 20-30 year old “average” cyclists nationally (see Gough et al 2021). It is understood this is at 5%grade, but nearly 2-3 minutes longer than other studies report for this 4.5 km distance.

ANSWER: We believe that the results obtained by the cyclists are excellent since the time difference between a flat time trial (TT) and an uphill time trial is very significant. Antón et al. (2007), with highly trained individuals, observed that the time elapsed during the uphill time trial (2.9-5.2%) of 6.7 km and the flat time trial (FTT) of 14 km was 1115 ± 59 s (18.6 ± 1.0 min; 21.6 ± 1.2 km/h), and 1185 ± 35 s (19.8 ± 0.6 min; 42.5 ± 1.3 km/h), respectively.

Antón MM, Izquierdo M, Ibáñez J, Asiain X, Mendiguchía J, Gorostiaga EM. Flat and uphill climb time trial performance prediction in elite amateur cyclists. Int J Sports Med. 2007 Apr;28(4):306-13. doi: 10.1055/s-2006-924356. Epub 2006 Oct 6. PMID: 17024629.

Furthermore, in our study, the athletes were world-class, competing in the Tour de France. These athletes exhibited average relative powers of around 6 W/kg. Sanders et al. describe the workload and intensity of races in a Grand Tour, where in time trials, they achieve average relative power of 5.14 W/kg.

Sanders, D.; Heijboer, M. Physical demands and power profile of different stage types within a cycling grand tour. https://doi.org/10.1080/17461391.2018.1554706 2018, 19, 736–744, doi:10.1080/17461391.2018.1554706

Lines 312-316: the authors reported no significant effect of lactate yet this section of discussion is reaching to suggest lactate contributed to performance enhancement.

ANSWER: The discussion refers to the trend, as we did not find significant results, possibly because of the small n.

There are some places throughout the manuscript that need revised writing for grammatical clarity (ex. Lines 292-294 and others (lines 271, 324, 326)).

ANSWER: The wording of the parts pointed out by the reviewer has been revised and modified to improve the reader's understanding.

A: First of all, we would like to express our gratitude to Reviewer 3 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #3: Overall, the article is written in an orderly and linear manner, and the concepts are clearly expressed.

The understandability and overall quality of the manuscript can certainly be improved by addressing several issues that I raise here.

In line 37, writing just "to improve cycling performance" may seem a bit excessive. It would be beneficial to also highlight the potential role of β-alanine in improving recovery power. This aspect is particularly relevant in the context of a training camp, where fatigue levels can increase alongside training intensity. It is reasonable to consider that reducing chronic fatigue, possibly aided by β-alanine supplementation, could lead to overall higher performances in both groups under similar conditions. This aligns with the assertion made in line 67 of the study.

ANSWER: Information on the reviewer's comments has been added.

L54-57 – it is useful to insert a transition sentence between the concept of training and that of integration (ergogenic aids probably do not fit at all with "training strategies")

ANSWER: We have modified the paragraph according to the reviewer’s comment: Developing the most effective and efficient training method to optimize cycling performance has been the focus of many scientists and coaches. While training strategies are crucial, it's also important to consider the integration of legal ergogenic aids, which is a popular approach among athletes, particularly cyclists, seeking to maximize their physical performance

In line 191, there appears to be a significant limitation in quantifying performance (and load) in this sentence. It's important to provide details about the protocol used for the incremental test and the duration of the test steps. Equating Functional Threshold Power (FTP), defined as the sustainable power for 1 hour, with the power at 4 mmol/l, especially calculated on short steps, may be too approximate. Clarifying this point would enhance the rigor and accuracy of the analysis

ANSWER: We concur with the reviewer's comment. Previous studies have indicated that trained cyclists can sustain 100% of LT4.0 for 60 minutes, and FTP is considered equivalent to the power output at LT4 (Gavin et al., 2012). The test employed in our study was an incremental cycling test. Therefore, we utilized the methodology outlined in the article. Additionally, we have incorporated the following details in the text: The test commenced with an initial resistance of 110 W, with subsequent increments of 3

Attachment

Submitted filename: Authors reply.docx

pone.0309404.s004.docx (26.4KB, docx)

Decision Letter 1

Fenghua Sun

21 May 2024

PONE-D-24-04397R1Effect of high-dose β-Alanine supplementation on uphill cycling performance in World Tour cyclists: A randomised controlled trial.PLOS ONE

Dear Dr. López-Román,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

==============================

Although the reviewers appreciated your revisions, one concern about the statistical method has been raised. Please carefully consider this comment and make some further corrections, if possible. Thanks.

==============================

Please submit your revised manuscript by Jul 05 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Fenghua Sun

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: No

Reviewer #2: Yes

Reviewer #3: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: (No Response)

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Major revision:

My prior comment concerning using the appropriate statistical testing method based on the distribution of the data has not been adequately addressed. The sample sizes are too small to test for normal distributions; therefore, nonparametric tests are called for.

Prior Comment: A comprehensive reanalysis is required.

Since sample sizes of 5 and 6 are too small to be tested for a normal distribution, use nonparametric tests for the analysis, i.e., use the Wilcoxon rank sum test instead of the t-test. Furthermore, summarize data using medians and first and third quartiles instead of means and standard deviations.

Minor revision:

Line 101: For the power justification, indicate if the t-test was the test used for the"comparisons of means test".

Reviewer #2: The text calls out Figure 1 to represent study flow but the attached figure 1 is the CONSORT Diagram.

Please provide the manufacturer information for the bikes used.

The figures are still very blurry. The axes and legends cannot be read.

All other comments have been sufficiently addressed. Some responses to the reviewers should be reflected in the manuscript text and not just in the responses to reviewer comment document.

Reviewer #3: Thank you to the authors for the answers. The protocol used is correct, and the overall explanation of the findings is clear. However, I suggest checking these two articles for further improvement of the FTP concept.

Wong S, Burnley M, Mauger A, Fenghua S, Hopker J. Functional threshold power is not a valid marker of the maximal metabolic steady state. J Sports Sci. 2022 Dec;40(23):2578-2584. doi: 10.1080/02640414.2023.2176045. Epub 2023 Feb 20. PMID: 36803419.

Vinetti G, Rossi H, Bruseghini P, Corti M, Ferretti G, Piva S, Taboni A, Fagoni N. Functional Threshold Power Field Test Exceeds Laboratory Performance in Junior Road Cyclists. J Strength Cond Res. 2023 Sep 1;37(9):1815-1820. doi: 10.1519/JSC.0000000000004471. Epub 2023 Feb 2. PMID: 36692223; PMCID: PMC10448799.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: Yes: Roberto Codella

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Sep 3;19(9):e0309404. doi: 10.1371/journal.pone.0309404.r004

Author response to Decision Letter 1


2 Jul 2024

AUTHORS REPLY

A: First of all, we would like to express our gratitude to Reviewer #1 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #1:

Major revision: My prior comment concerning using the appropriate statistical testing method based on the distribution of the data has not been adequately addressed. The sample sizes are too small to test for normal distributions; therefore, nonparametric tests are called for.

Prior Comment: A comprehensive reanalysis is required.

Since sample sizes of 5 and 6 are too small to be tested for a normal distribution, use nonparametric tests for the analysis, i.e., use the Wilcoxon rank sum test instead of the t-test. Furthermore, summarize data using medians and first and third quartiles instead of means and standard deviations.

A: We thank the reviewer for the comment. Following the recommendation, we have implemented a new non-parametric analysis and modified the entire document accordingly.

Minor revision:

Line 101: For the power justification, indicate if the t-test was the test used for the "comparisons of means test".

A: Thank you for the comment. We have added the information. As the reviewer points out, a t-test is the test used.

A: First of all, we would like to express our gratitude to Reviewer #2 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #2:

The text calls out Figure 1 to represent study flow but the attached figure 1 is the CONSORT Diagram.

A: Modified.

Please provide the manufacturer information for the bikes used.

A: Added.

The figures are still very blurry. The axes and legends cannot be read.

A: The figures have been updated for better readability.

All other comments have been sufficiently addressed. Some responses to the reviewers should be reflected in the manuscript text and not just in the responses to reviewer comment document.

A: Thank you very much for the thorough review. We have included the information in the text.

A: First of all, we would like to express our gratitude to Reviewer #3 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #3:

Thank you to the authors for the answers. The protocol used is correct, and the overall explanation of the findings is clear. However, I suggest checking these two articles for further improvement of the FTP concept.

Wong S, Burnley M, Mauger A, Fenghua S, Hopker J. Functional threshold power is not a valid marker of the maximal metabolic steady state. J Sports Sci. 2022 Dec;40(23):2578-2584. doi: 10.1080/02640414.2023.2176045. Epub 2023 Feb 20. PMID: 36803419.

Vinetti G, Rossi H, Bruseghini P, Corti M, Ferretti G, Piva S, Taboni A, Fagoni N. Functional Threshold Power Field Test Exceeds Laboratory Performance in Junior Road Cyclists. J Strength Cond Res. 2023 Sep 1;37(9):1815-1820. doi: 10.1519/JSC.0000000000004471. Epub 2023 Feb 2. PMID: 36692223; PMCID: PMC10448799.

A: Thank you very much to the reviewer for their comment. We have carefully read the articles you indicated. For the next study, we will take into account the aspects related to FTP mentioned in the provided studies.

Attachment

Submitted filename: AUTHORS REPLY R2.docx

pone.0309404.s005.docx (15.3KB, docx)

Decision Letter 2

Fenghua Sun

22 Jul 2024

PONE-D-24-04397R2Effect of high-dose β-Alanine supplementation on uphill cycling performance in World Tour cyclists: A randomised controlled trial.PLOS ONE

Dear Dr. López-Román,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Sep 05 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Fenghua Sun

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

Reviewer #3: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: I Don't Know

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

Reviewer #3: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Suggested minor revisions:

1- The standard statistical term for average is mean.

2-Table 1: Summarize the subject characteristics using median and IQR since the sample size is small.

Reviewer #2: Thank you for addressing the remaining concerns. The authors have adequately addressed concerns. I have no additional comments to provide the authors.

Reviewer #3: I can state that the authors have adequately addressed the comments I raised in the previous round of review.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

Reviewer #3: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Sep 3;19(9):e0309404. doi: 10.1371/journal.pone.0309404.r006

Author response to Decision Letter 2


24 Jul 2024

AUTHORS REPLY

A: First of all, we would like to express our gratitude to Reviewer #1 for providing us with comments and suggestions to help improve the quality of our paper. We have answered your comments point-by-point below and have marked our changes in red in the new version of the manuscript.

Reviewer #1:

Minor revision: The standard statistical term for average is mean.

A: Corrected.

Table 1: Summarize the subject characteristics using median and IQR since the sample size is small.

A: Corrected.

Attachment

Submitted filename: AUTHORS REPLY R3.docx

pone.0309404.s006.docx (14.9KB, docx)

Decision Letter 3

Fenghua Sun

13 Aug 2024

Effect of high-dose β-Alanine supplementation on uphill cycling performance in World Tour cyclists: A randomised controlled trial.

PONE-D-24-04397R3

Dear Dr. López-Román,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. If you have any questions relating to publication charges, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Fenghua Sun

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Fenghua Sun

23 Aug 2024

PONE-D-24-04397R3

PLOS ONE

Dear Dr. López-Román,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Fenghua Sun

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. CONSORT 2010 checklist of information to include when reporting a randomised trial*.

    (DOC)

    pone.0309404.s001.doc (220KB, doc)
    S1 File

    (XLSX)

    pone.0309404.s002.xlsx (10.1KB, xlsx)
    S2 File

    (PDF)

    Attachment

    Submitted filename: Authors reply.docx

    pone.0309404.s004.docx (26.4KB, docx)
    Attachment

    Submitted filename: AUTHORS REPLY R2.docx

    pone.0309404.s005.docx (15.3KB, docx)
    Attachment

    Submitted filename: AUTHORS REPLY R3.docx

    pone.0309404.s006.docx (14.9KB, docx)

    Data Availability Statement

    The data underlying the results presented in the study are available upon request to Catholic University of Murcia`s Science Ethics Committee. Dra. Lourdes Meroño García; lmerono@ucam.edu.


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