Healthy Athletes Aged 18-35 YearsAAdaptationNCT05672758
Effect of Long-lasting Adaptation to Endurance and Speed-power Training on Plasma Free Amino Acids Concentration
An observational study of Healthy Athletes Aged 18-35 Years, run by Poznan University of Physical Education at 1 site in Poland.
Trial summary
The goal of this observational study was to detect the long-term effect of two different training modalities - speed-power and endurance training - on changes in plasma free amino acid (PFAA) concentration at rest, during graded exercise and post-exercise recovery period. Read more about this study
- Who is it for?
- Ages 18 to 35 years
- Conditions the study is for
- Healthy Athletes Aged 18-35 Years
- What is being tested?
- Sprint training, Endurance training and Recreational Training
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 58 participants
- Where
- 1 sitePoland
- Study dates
- 31 Jul 2018to 31 Jul 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 35 years
- All sexes
- No healthy volunteers
- Adult
Study population: Highly trained competitive athletes aged 18-35 years with longer competitive sport experience, specialized in sports of different character - speed-power (sprinters) vs endurance (triathletes, distance runners). Amateur/recreational athletes participating in training on a regular basis.
Who may be able to join
- highly trained sprint- and endurance-trained athletes
- national or international performance level
- current participation in training programs organized by professional sports clubs or national team (licence) for at least 5 years
- current medical eligibility for competitive sport
- regular recreational activity for at least 5 years (preferred endurance disciplines)
- participation in amateur competition
- good health status
- non-smoking
Who cannot join
- untrained individuals
- athletes that do not meet the above criteria for participation in professional sport
- injured athletes or those who are not able or willing to participate for other reasons
- inactive/sedentary individuals
- medical contraindications to high-intensity exercise and testing
- injured individuals or those who are not able or willing to participate for other reasons
- current smokers or heavy past smokers
Trial locations and contacts
1 site in 1 country.
Poland1 site
Poznan University of Physical Education
Poznan, Wielkoolska, 60-687
About this study
Official title: The Effect of Long-lasting Adaptation to Intensive Speed-power and Endurance Training on Plasma Free Amino Acids Concentration at Rest, During Graded Exercise and Post-exercise Recovery
The goal of this observational study was to detect the long-term effect of two different training modalities - speed-power and endurance training - on changes in plasma free amino acid (PFAA) concentration at rest, during graded exercise and post-exercise recovery period. It was assumed that these training modalities cause different amino acids concentration in human blood depending on long-term sport specialization and predominant exercise type (the contribution of high-intensity exercise related to anaerobic metabolism). The hypotheses were:
- highly-trained speed-power have higher concentrations of PFAA than endurance athletes;
- PFAA concentration varies with the change in training loads in a one-year training cycle. Higher PFAA concentrations is expected in training phases with larger contribution of high-intensity exercise;
- PFAA concentration per 1 kg muscle mass differ between speed-power and endurance athletes.
Read more
Forty-eght highly-trained athletes aged 18-32 years with longer competitive sport experience - sprinters vs triathletes/distance runners - and 10 recreationally trained controls were examined. Laboratory tests were conducted in consecutive training subphases.
(i) Body composition and muscle mass was assessed using densitometry. (ii) Participants underwent a graded exercise treadmill test until exhaustion. (iii) Blood samples were drawn at rest, during exercise (every 3 min, at each speed change), and after exercise (immediately and 5, 10, 15, 20 and 30 min post exercise).
(iv)The analysis of PFAA profiles was based on the Liquid Chromatography Electrospray Ionization tandem Mass Spectrometry (LC-ESI-MS/MS) technique and the aTRAQ reagent. This allowed to quantify 42 PFAAs.
The results improve the understanding of metabolic adaptation to long-term exercise programmes. Possible practical application encompasses the domains of exercise medicine, sport and public health.
The novelty of the project: (1) comparing the effect of two different training models on PFAA concentration, (2) tracking the changes in PFAAs across a one-year training cycle, (3) repeated multiple sampling in one exercise session including resting conditions, (4) introducing skeletal muscle mass as a factor potentially affecting PFAA profiles, (5) a large number (42) of proteinogenic- and non-proteinogenic PFAAs, (6) homogenous highly-trained athletic groups, and (7) a proven state-of-the-art method to determine PFAAs.
Read the detailed description
- Study goal
Long-term effect of two different training modalities - speed-power and endurance training - on changes in plasma free amino acid (PFAA) concentration at rest, during graded exercise until exhaustion and recovery period was compared. The model cohorts were highly-trained athletes. The assumption was that structured long-lasting speed-power and endurance training cause adaptations resulting in different PFAA concentration and that the changes depend on long-term sport specialization (predominant exercise type) and training phase of the one-year cycle (contribution of high-intensity exercise based on anaerobic metabolism characterized by rapid adenosine-5'-triphosphate degradation). A larger contribution of high-intensity exercise is used by speed-power athletes and in phases of specific preparation/competition. There is a lack of research on long-term effects of physical training on changes in PFAAs. This picture is supllemented by monitoring changes in a set of 42 proteinogenic and non-proteinogenic PFAAs. Short- and long-lasting effects of training on levels and time course of PFAA concentration during exercise and recovery will be shown. The main goals were:
- To compare the effect of the two entirely different training modalities (speed-power and endurance) on PFAA concentration.
- To observe the effect of training load character on changes in resting, exercise and post-exercise PFAA concentration in consecutive training phases of a one-year training cycle.
- To determine the link between PFAA concentration and exercise modality, taking into account skeletal muscle mass.
II. Background
Only 3-6% of the total energy utilized during prolonged endurance exercise is derived from oxidation of AAs. However, the proportion of energy from AA catabolism considerably increases during exercise. Although protein turnover does not contribute substantially to the energy expenditure, it may fill other important functions during exercise. AAs may delay muscle glycogen depletion.
The free AA pool amounts only 2% of the total AA amount and is stored within the plasma and intra- and extracellular spaces. This small pool accounts for a continuous exchange of AAs. Blood plasma serves as a temporary reservoir of AAs, the size of which changes in response to exercise. Differences in regular training, exercise, and daily activities result in differences in PFAA levels.
Exercise duration affects PFAA levels, however, the direction of the changes may be different for specific AAs and exercise type, intensity, and duration. In contrast, muscle AAs concentration remains relatively stable. AA metabolism during prolonged exercise has been described. Reports based on a short training periods (few weeks) in power-type athletes suggest that sprint and endurance training sessions have a distinct effect on serum AAs. However, there is a lack of studies on the differences in long-term adaptation changes in PFAAs between endurance- and sprint-trained individuals, taking into account multiple blood sampling (rest, exercise, recovery) and muscle mass.
III. Methods
Over 70 athletes aged 18-32 years - speed-power (sprinters), endurance (triathletes, distance runners), and recreationally trained - were recruited. Eventually, the data of 58 of them were considered for analysis. Athletes were examined four times during one-year training cycle: (1) general preparation phase, (2) specific preparation phase, (3) competition phase, and (4) transition phase.
The main statistical tool was one-way and two-way ANOVA with repeated measures. The required sample size was computed based on given alpha (significance) level, statistical power, and effect size. The significance level α < 0.05 and statistical power 0.8 were assumed. Based on earlier studies that compared sprint- and endurance-trained athletes in terms of other metabolic phenomena related to training and exercise, minimum partial eta square (η2) of 0.2 was adopted, i.e. a large effect size for differences between examined groups and consecutive examination across was expected. Other assumptions were nonsphericity correction = 0.75, number of measurements = 4, and correlation between repeated measurements = 0.5. The minimum total sample size of 22 athletes was obtained.
Body composition was assessed using dual X-ray absorptiometry (Lunar Prodigy, GE Healthcare, USA). Skeletal muscle mass was estimated using regression equations.
Graded exercise tests on a treadmill (h/p/cosmos, Germany) were conducted before 12 a.m., two hours after a standard meal. The initial speed was 8 km/h and increased every 3 min by 2 km/h until exhaustion. Respiratory parameters and heart rate were measured (ergospirometer MetaLyzer 3B, Cortex, Germany; Polar Elektro RS 400, Finland). Maximum oxygen consumption was measured.
Blood sampling. Peripheral venous catheter was placed into dorsal metacarpal vein. Blood samples were drawn at rest, during exercise (every 3 min, at each speed change), and immediately, 5, 10, 15, 20, and 30 min after exercise completion. The volume of venous blood obtained during one examination was 25 ml, i.e. 2.5 ml for each sample, up to 10 samples. Each sample was collected into plasma-separation tube containing EDTA for further plasma analysis. Samples were centrifuged at 13,000 revolution/min for 3 min at 4°C. Obtained plasma was then pipetted into 0.5 ml vials and immediately frozen in liquid nitrogen. Samples were stored in -80°C until analysis.
Forty two PFAAs were assayed: O-Phospho-L-serine, O-Phosphoethanolamine, Taurine, L-Asparagine, L-Serine, Hydroxy-L-proline, Glycine, L-Glutamine, Ethanolamine, L-Aspartic acid, L-Citrulline, Sarcosine, β-Alanine, L-Alanine, L-Threonine, L-Glutamic acid, L-Histidine, 1-Methyl-L-histidine, 3-Methyl-L-histidine, L-Homocitrulline, Argininosuccinic acid, γ-Amino-n-butyric acid, D, L-β-Aminoisobutyric acid, L-α-Amino-n-butyric acid, L- α- Aminoadipic acid, L-Anserine, L-Carnosine, L-Proline, L-Arginine, δ-Hydroxylysine, L-Ornithine, Cystathionine, L-Cystine, L-Lysine, L-Valine, L-Methionine, L-Tyrosine, L-Homocystine, L-Isoleucine, L-Leucine, L-Phenylanine, L-Tryptophan. The analysis of PFAAs was based on the LC-ESI-MS/MS technique and the aTRAQ (Sciex) reagent, characterized by high sensitivity and specificity, short analytical run time, low sample volume required to perform the analysis, and high amount of analytes being quantified in one run.
Protocol for determination of PFAAs. Plasma samples of 40 µl were transferred to Eppendorf tubes. In order to precipitate proteins present in plasma, 10 µl of 10% sulfosalicylic acid was added and the content was mixed and centrifuged (10,000 g for 2 minutes). After that, the supernatant was transferred to a new tube and mixed with 40 µl of borate buffer. An aliquot of 10 µl of the obtained solution was subsequently labeled with the aTRAQ reagent Δ8 solution (5 µl), mixed, centrifuged, and incubated at room temperature for 30 minutes. The labeling reaction was then stopped by addition of 5 µl of 1.2% hydroxylamine, mixed, and incubated at room temperature for 15 minutes. After that, 32 µl of the internal standard solution was added and the content was mixed. In the next step, the sample was evaporated in a vacuum concentrator for 15 minutes to reduce the volume of the sample to about 20 µl. The residue was then diluted with 20 µl of water, mixed, and transferred to an autosampler vial with an insert. This procedure was modified in order to measure the concentrations of PFAAs that could not be detected using the original method. For this purpose, plasma samples of higher volume were used for the sample preparation procedure. Instead of 40 μl, plasma samples of 80 μl were transferred to Eppendorf tubes and mixed with 20 μl of 10% sulfosalicylic acid. After that, 20 μl of the supernatant was transferred to a new tube and mixed with 30 μl of borate buffer. The subsequent steps of the procedure remained unchanged. The internal standard solution contained the same AAs labeled with the aTRAQ reagent Δ0. Thus, each determined PFAA had its corresponding internal standard. Norleucine and norvaline, two non-proteinogenic AAs, were used to evaluate the labeling efficiency and recovery. Their corresponding internal standards were also present in the internal standard solution.
The analyses were performed using the liquid chromatography instrument 1260 Infinity (Agilent Technologies) coupled to the 4000 QTRAP (quadrupole ion trap) mass spectrometer (Sciex). This mass spectrometer is equipped with an electrospray ionization source and three quadrupoles and allows to conduct the quantitative PFAA analysis planned within the presented project. The chromatographic separation was performed with the Sciex C18 (5 μm, 4.6 mm x 150 mm) chromatography column. The flow rate of mobile phases was maintained at 800 μl/min. The method uses the following mobile phases: water (phase A) and methanol (phase B), both with addition of 0,1 % formic acid and 0.01 % heptafluorobutyric acid. The time of analysis was 18 minutes and during that time the chromatographic separation was carried out with the following gradient elution: from 0 till 6 min - from 2% to 40% of phase B, then maintained at 40% of phase B for 4 minutes, increased to 90% of phase B till 11 min and held at that ratio phases for 1 minute, then decreased to 2% of phase B and finally maintained at 2% of phase B from 13 to 18 min. The injection volume was set at 2 μl and the separation temperature at 50 °C. The ion source settings were the following: curtain gas 20 psig; ion spray voltage 4500 V; ion source temperature 600 °C; ion source gas 1 = 60 psig, ion source gas 2 = 50 psig. The mass spectrometer operated in positive ionization mode and the following parameters were applied: entrance potential = 10 V; declustering potential = 30 V; collision cell exit potential = 5 V; collision energy = 30 eV (50 eV in case of 7 compounds); collision gas: nitrogen. The PFAAs were measured in scheduled multiple reaction monitoring (sMRM) mode. This mode ensures high specificity and sensitivity in quantitative analyses. A system suitability test (analysis of a standard mixture of AAs) was conducted before each batch of samples in order to warm up and check the inter-day performance of the whole system. Data acquisition and processing were performed using the Analyst 1.5 software (Sciex). The described LC-ESI-MS/MS method for determination of AAs is well established in the Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, the co-investigator of the project.
Total blood count was performed using the device Mythic 18 (Orphée, Swiss). Capillary blood samples from fingertip (20 μl per sample) were drawn simultaneously with venous blood pre-, during and postexercise. Blood lactate concentration was measured using C-line analyzer (EKF-Diagnostic, Germany).
- Conditions
- Healthy Athletes Aged 18-35 Years
- Being tested
- Sprint training, Endurance training, Recreational Training
- Keywords
- free plasma amino acids, competitive athletes, sprint training, endurance training, mass spectrometry
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Sprint trainingBehavioural
One-year cycle including specific sprint-oriented athletic training
Endurance trainingBehavioural
One-year cycle including specific endurance-oriented athletic training
Recreational TrainingBehavioural
One year of nonspecific recreational training
| Study group | Role | What they receive |
|---|---|---|
| Sprint-Trained Athletes | Highly trained track sprinters at the national or international level aged 18-35 years with sport experience 5-10 years; structured periodized training Receives: Behavioral: Sprint training | |
| Endurance-Trained Athletes | Highly trained long-distance runners and triathletes at the national or international level aged 18-35 years with sport experience 5-10 years; structured periodized training Receives: Behavioral: Endurance training | |
| Amateur/Recreational Athletes (Controls) | Individuals participating in amateur non-professional sport aged 18-35 years with activity experience 5-10 years; unstructured non-periodized training Receives: Behavioral: Recreational Training |
What is being measured
The primary outcome is the main question the study is designed to answer.
absolute Plasma Free Amino Acids Concentration (42 amino acids)
µmol/L
Measured: 4 times in a 1-year training cycle: at rest, during graded exercise (every 3 min), and during recovery (5, 10, 15, 20, and 30 min)
relative Plasma Free Amino Acids Concentration (42 amino acids)
µmol/L/kg muscle mass
Measured: 4 times in a 1-year training cycle: at rest, during graded exercise (every 3 min), and during recovery (5, 10, 15, 20, and 30 min)
Secondary outcomes (9)
absolute Skeletal Muscle Mass (aSMM)
kg
Measured: 4 times in a 1-year training cycle
relative Skeletal Muscle Mass (rSMM)
percent of total body mass
Measured: 4 times in a 1-year training cycle
absolute Lean Body Mass (aLBM)
kg
Measured: 4 times in a 1-year training cycle
relative Lean Body Mass (rLBM)
percent of total body mass
Measured: 4 times in a 1-year training cycle
absolute Fat Mass (aFM)
kg
Measured: 4 times in a 1-year training cycle
relative Fat Mass (rFM)
percent of total body mass
Measured: 4 times in a 1-year training cycle
absolute Maximum Oxygen Uptake (aVO2max)
L/min
Measured: 4 times in a 1-year training cycle
relative Maximum Oxygen Uptake 1 (r1VO2max)
L/min/kg total body mass
Measured: 4 times in a 1-year training cycle
relative Maximum Oxygen Uptake 2 (r2VO2max)
L/min/kg skeletal muscle mass
Measured: 4 times in a 1-year training cycle
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Jan 2023
- Study start31 Jul 2018
- Primary completion31 Jul 2023 (estimated)
- Study completion31 Jul 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (36)Papers the sponsor has linked to this study.
- Other trials for Healthy Athletes Aged 18-35 YearsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 58 participants (actual)
Sponsor and investigators
- Lead sponsor
- Poznan University of Physical Education
- Sponsor type
- University, hospital or other
- Collaborators
- Poznan University of Medical Sciences, National Science Centre, Poland
- Responsible party
- Principal investigator, Krzysztof Kusy, Poznan University of Physical Education
- Investigators
- Krzysztof Kusy, PhD, Principal investigator, Poznan University of Physical Education
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05672758
- Sponsor's protocol ID
- OPUS 14 2017/27/B/NZ7/02828
- Acronym
- AAdaptation
- Status last verified
- Jan 2023
- First submitted
- 3 Jan 2023
- Last updated
- 9 Jan 2023
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: All individual participant data that underlie results in a publication
Publications
Ahlborg G, Felig P, Hagenfeldt L, Hendler R, Wahren J. Substrate turnover during prolonged exercise in man. Splanchnic and leg metabolism of glucose, free fatty acids, and amino acids. J Clin Invest. 1974 Apr;53(4):1080-90. doi: 10.1172/JCI107645.
PubMed 4815076Ahlborg G, Felig P. Lactate and glucose exchange across the forearm, legs, and splanchnic bed during and after prolonged leg exercise. J Clin Invest. 1982 Jan;69(1):45-54. doi: 10.1172/jci110440.
PubMed 7054242Areces F, Gonzalez-Millan C, Salinero JJ, Abian-Vicen J, Lara B, Gallo-Salazar C, Ruiz-Vicente D, Del Coso J. Changes in Serum Free Amino Acids and Muscle Fatigue Experienced during a Half-Ironman Triathlon. PLoS One. 2015 Sep 15;10(9):e0138376. doi: 10.1371/journal.pone.0138376. eCollection 2015.
PubMed 26372162Ballard FJ, Tomas FM. 3-Methylhistidine as a measure of skeletal muscle protein breakdown in human subjects: the case for its continued use. Clin Sci (Lond). 1983 Sep;65(3):209-15. doi: 10.1042/cs0650209. No abstract available.
PubMed 6872455Blomstrand E, Celsing F, Newsholme EA. Changes in plasma concentrations of aromatic and branched-chain amino acids during sustained exercise in man and their possible role in fatigue. Acta Physiol Scand. 1988 May;133(1):115-21. doi: 10.1111/j.1748-1716.1988.tb08388.x.
PubMed 3227900Borgenvik M, Nordin M, Mikael Mattsson C, Enqvist JK, Blomstrand E, Ekblom B. Alterations in amino acid concentrations in the plasma and muscle in human subjects during 24 h of simulated adventure racing. Eur J Appl Physiol. 2012 Oct;112(10):3679-88. doi: 10.1007/s00421-012-2350-8. Epub 2012 Feb 18.
PubMed 22350359Castell LM, Newsholme EA. Glutamine and the effects of exhaustive exercise upon the immune response. Can J Physiol Pharmacol. 1998 May;76(5):524-32. doi: 10.1139/cjpp-76-5-524.
PubMed 9839078Cuisinier C, Ward RJ, Francaux M, Sturbois X, de Witte P. Changes in plasma and urinary taurine and amino acids in runners immediately and 24h after a marathon. Amino Acids. 2001;20(1):13-23. doi: 10.1007/s007260170062.
PubMed 11310927Decombaz J, Reinhardt P, Anantharaman K, von Glutz G, Poortmans JR. Biochemical changes in a 100 km run: free amino acids, urea, and creatinine. Eur J Appl Physiol Occup Physiol. 1979 Apr 12;41(1):61-72. doi: 10.1007/BF00424469.
PubMed 446472Derezinski P, Klupczynska A, Sawicki W, Palka JA, Kokot ZJ. Amino Acid Profiles of Serum and Urine in Search for Prostate Cancer Biomarkers: a Pilot Study. Int J Med Sci. 2017 Jan 1;14(1):1-12. doi: 10.7150/ijms.15783. eCollection 2017.
PubMed 28138303Einspahr KJ, Tharp G. Influence of endurance training on plasma amino acid concentrations in humans at rest and after intense exercise. Int J Sports Med. 1989 Aug;10(4):233-6. doi: 10.1055/s-2007-1024908.
PubMed 2606590Felig P, Wahren J. Amino acid metabolism in exercising man. J Clin Invest. 1971 Dec;50(12):2703-14. doi: 10.1172/JCI106771.
PubMed 5129318Gibala MJ. Regulation of skeletal muscle amino acid metabolism during exercise. Int J Sport Nutr Exerc Metab. 2001 Mar;11(1):87-108. doi: 10.1123/ijsnem.11.1.87.
PubMed 11255139Graham TE, Turcotte LP, Kiens B, Richter EA. Training and muscle ammonia and amino acid metabolism in humans during prolonged exercise. J Appl Physiol (1985). 1995 Feb;78(2):725-35. doi: 10.1152/jappl.1995.78.2.725.
PubMed 7759446Hajduk J, Klupczynska A, Derezinski P, Matysiak J, Kokot P, Nowak DM, Gajecka M, Nowak-Markwitz E, Kokot ZJ. A Combined Metabolomic and Proteomic Analysis of Gestational Diabetes Mellitus. Int J Mol Sci. 2015 Dec 16;16(12):30034-45. doi: 10.3390/ijms161226133.
PubMed 26694367
Study at a glance
From the registry record, last updated by the sponsor on 9 Jan 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of Long-lasting Adaptation to Intensive Speed-power and Endurance Training on Plasma Free Amino Acids Concentration at Rest, During Graded Exercise and Post-exercise Recovery
- ClinicalTrials.gov ID
- NCT05672758
- Acronym / sponsor ID
- AAdaptation / OPUS 14 2017/27/B/NZ7/02828
- Conditions
- Healthy Athletes Aged 18-35 Years
- Keywords
- free plasma amino acids, competitive athletes, sprint training, endurance training, mass spectrometry
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 58 participants (actual)
- Lead sponsor
- Poznan University of Physical EducationUniversity, hospital or other
- Collaborators
- Poznan University of Medical Sciences, National Science Centre, Poland
- Study start
- 31 Jul 2018 (actual)
- Primary completion
- 31 Jul 2023 (estimated)
- Study completion
- 31 Jul 2023 (estimated)
- First posted
- 5 Jan 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The goal of this observational study was to detect the long-term effect of two different training modalities - speed-power and endurance training - on changes in plasma free amino acid (PFAA) concentration at rest, during graded exercise and post-exercise recovery period. It was assumed that these training modalities cause different amino acids concentration in human blood depending on long-term sport specialization and predominant exercise type (the contribution of high-intensity exercise related to anaerobic metabolism). The hypotheses were:
- highly-trained speed-power have higher concentrations of PFAA than endurance athletes;
- PFAA concentration varies with the change in training loads in a one-year training cycle. Higher PFAA concentrations is expected in training phases with larger contribution of high-intensity exercise;
- PFAA concentration per 1 kg muscle mass differ between speed-power and endurance athletes.
Forty-eght highly-trained athletes aged 18-32 years with longer competitive sport experience - sprinters vs triathletes/distance runners - and 10 recreationally trained controls were examined. Laboratory tests were conducted in consecutive training subphases.
(i) Body composition and muscle mass was assessed using densitometry. (ii) Participants underwent a graded exercise treadmill test until exhaustion. (iii) Blood samples were drawn at rest, during exercise (every 3 min, at each speed change), and after exercise (immediately and 5, 10, 15, 20 and 30 min post exercise).
(iv)The analysis of PFAA profiles was based on the Liquid Chromatography Electrospray Ionization tandem Mass Spectrometry (LC-ESI-MS/MS) technique and the aTRAQ reagent. This allowed to quantify 42 PFAAs.
The results improve the understanding of metabolic adaptation to long-term exercise programmes. Possible practical application encompasses the domains of exercise medicine, sport and public health.
The novelty of the project: (1) comparing the effect of two different training models on PFAA concentration, (2) tracking the changes in PFAAs across a one-year training cycle, (3) repeated multiple sampling in one exercise session including resting conditions, (4) introducing skeletal muscle mass as a factor potentially affecting PFAA profiles, (5) a large number (42) of proteinogenic- and non-proteinogenic PFAAs, (6) homogenous highly-trained athletic groups, and (7) a proven state-of-the-art method to determine PFAAs.
Detailed description
- Study goal
Long-term effect of two different training modalities - speed-power and endurance training - on changes in plasma free amino acid (PFAA) concentration at rest, during graded exercise until exhaustion and recovery period was compared. The model cohorts were highly-trained athletes. The assumption was that structured long-lasting speed-power and endurance training cause adaptations resulting in different PFAA concentration and that the changes depend on long-term sport specialization (predominant exercise type) and training phase of the one-year cycle (contribution of high-intensity exercise based on anaerobic metabolism characterized by rapid adenosine-5'-triphosphate degradation). A larger contribution of high-intensity exercise is used by speed-power athletes and in phases of specific preparation/competition. There is a lack of research on long-term effects of physical training on changes in PFAAs. This picture is supllemented by monitoring changes in a set of 42 proteinogenic and non-proteinogenic PFAAs. Short- and long-lasting effects of training on levels and time course of PFAA concentration during exercise and recovery will be shown. The main goals were:
- To compare the effect of the two entirely different training modalities (speed-power and endurance) on PFAA concentration.
- To observe the effect of training load character on changes in resting, exercise and post-exercise PFAA concentration in consecutive training phases of a one-year training cycle.
- To determine the link between PFAA concentration and exercise modality, taking into account skeletal muscle mass.
II. Background
Only 3-6% of the total energy utilized during prolonged endurance exercise is derived from oxidation of AAs. However, the proportion of energy from AA catabolism considerably increases during exercise. Although protein turnover does not contribute substantially to the energy expenditure, it may fill other important functions during exercise. AAs may delay muscle glycogen depletion.
The free AA pool amounts only 2% of the total AA amount and is stored within the plasma and intra- and extracellular spaces. This small pool accounts for a continuous exchange of AAs. Blood plasma serves as a temporary reservoir of AAs, the size of which changes in response to exercise. Differences in regular training, exercise, and daily activities result in differences in PFAA levels.
Exercise duration affects PFAA levels, however, the direction of the changes may be different for specific AAs and exercise type, intensity, and duration. In contrast, muscle AAs concentration remains relatively stable. AA metabolism during prolonged exercise has been described. Reports based on a short training periods (few weeks) in power-type athletes suggest that sprint and endurance training sessions have a distinct effect on serum AAs. However, there is a lack of studies on the differences in long-term adaptation changes in PFAAs between endurance- and sprint-trained individuals, taking into account multiple blood sampling (rest, exercise, recovery) and muscle mass.
III. Methods
Over 70 athletes aged 18-32 years - speed-power (sprinters), endurance (triathletes, distance runners), and recreationally trained - were recruited. Eventually, the data of 58 of them were considered for analysis. Athletes were examined four times during one-year training cycle: (1) general preparation phase, (2) specific preparation phase, (3) competition phase, and (4) transition phase.
The main statistical tool was one-way and two-way ANOVA with repeated measures. The required sample size was computed based on given alpha (significance) level, statistical power, and effect size. The significance level α < 0.05 and statistical power 0.8 were assumed. Based on earlier studies that compared sprint- and endurance-trained athletes in terms of other metabolic phenomena related to training and exercise, minimum partial eta square (η2) of 0.2 was adopted, i.e. a large effect size for differences between examined groups and consecutive examination across was expected. Other assumptions were nonsphericity correction = 0.75, number of measurements = 4, and correlation between repeated measurements = 0.5. The minimum total sample size of 22 athletes was obtained.
Body composition was assessed using dual X-ray absorptiometry (Lunar Prodigy, GE Healthcare, USA). Skeletal muscle mass was estimated using regression equations.
Graded exercise tests on a treadmill (h/p/cosmos, Germany) were conducted before 12 a.m., two hours after a standard meal. The initial speed was 8 km/h and increased every 3 min by 2 km/h until exhaustion. Respiratory parameters and heart rate were measured (ergospirometer MetaLyzer 3B, Cortex, Germany; Polar Elektro RS 400, Finland). Maximum oxygen consumption was measured.
Blood sampling. Peripheral venous catheter was placed into dorsal metacarpal vein. Blood samples were drawn at rest, during exercise (every 3 min, at each speed change), and immediately, 5, 10, 15, 20, and 30 min after exercise completion. The volume of venous blood obtained during one examination was 25 ml, i.e. 2.5 ml for each sample, up to 10 samples. Each sample was collected into plasma-separation tube containing EDTA for further plasma analysis. Samples were centrifuged at 13,000 revolution/min for 3 min at 4°C. Obtained plasma was then pipetted into 0.5 ml vials and immediately frozen in liquid nitrogen. Samples were stored in -80°C until analysis.
Forty two PFAAs were assayed: O-Phospho-L-serine, O-Phosphoethanolamine, Taurine, L-Asparagine, L-Serine, Hydroxy-L-proline, Glycine, L-Glutamine, Ethanolamine, L-Aspartic acid, L-Citrulline, Sarcosine, β-Alanine, L-Alanine, L-Threonine, L-Glutamic acid, L-Histidine, 1-Methyl-L-histidine, 3-Methyl-L-histidine, L-Homocitrulline, Argininosuccinic acid, γ-Amino-n-butyric acid, D, L-β-Aminoisobutyric acid, L-α-Amino-n-butyric acid, L- α- Aminoadipic acid, L-Anserine, L-Carnosine, L-Proline, L-Arginine, δ-Hydroxylysine, L-Ornithine, Cystathionine, L-Cystine, L-Lysine, L-Valine, L-Methionine, L-Tyrosine, L-Homocystine, L-Isoleucine, L-Leucine, L-Phenylanine, L-Tryptophan. The analysis of PFAAs was based on the LC-ESI-MS/MS technique and the aTRAQ (Sciex) reagent, characterized by high sensitivity and specificity, short analytical run time, low sample volume required to perform the analysis, and high amount of analytes being quantified in one run.
Protocol for determination of PFAAs. Plasma samples of 40 µl were transferred to Eppendorf tubes. In order to precipitate proteins present in plasma, 10 µl of 10% sulfosalicylic acid was added and the content was mixed and centrifuged (10,000 g for 2 minutes). After that, the supernatant was transferred to a new tube and mixed with 40 µl of borate buffer. An aliquot of 10 µl of the obtained solution was subsequently labeled with the aTRAQ reagent Δ8 solution (5 µl), mixed, centrifuged, and incubated at room temperature for 30 minutes. The labeling reaction was then stopped by addition of 5 µl of 1.2% hydroxylamine, mixed, and incubated at room temperature for 15 minutes. After that, 32 µl of the internal standard solution was added and the content was mixed. In the next step, the sample was evaporated in a vacuum concentrator for 15 minutes to reduce the volume of the sample to about 20 µl. The residue was then diluted with 20 µl of water, mixed, and transferred to an autosampler vial with an insert. This procedure was modified in order to measure the concentrations of PFAAs that could not be detected using the original method. For this purpose, plasma samples of higher volume were used for the sample preparation procedure. Instead of 40 μl, plasma samples of 80 μl were transferred to Eppendorf tubes and mixed with 20 μl of 10% sulfosalicylic acid. After that, 20 μl of the supernatant was transferred to a new tube and mixed with 30 μl of borate buffer. The subsequent steps of the procedure remained unchanged. The internal standard solution contained the same AAs labeled with the aTRAQ reagent Δ0. Thus, each determined PFAA had its corresponding internal standard. Norleucine and norvaline, two non-proteinogenic AAs, were used to evaluate the labeling efficiency and recovery. Their corresponding internal standards were also present in the internal standard solution.
The analyses were performed using the liquid chromatography instrument 1260 Infinity (Agilent Technologies) coupled to the 4000 QTRAP (quadrupole ion trap) mass spectrometer (Sciex). This mass spectrometer is equipped with an electrospray ionization source and three quadrupoles and allows to conduct the quantitative PFAA analysis planned within the presented project. The chromatographic separation was performed with the Sciex C18 (5 μm, 4.6 mm x 150 mm) chromatography column. The flow rate of mobile phases was maintained at 800 μl/min. The method uses the following mobile phases: water (phase A) and methanol (phase B), both with addition of 0,1 % formic acid and 0.01 % heptafluorobutyric acid. The time of analysis was 18 minutes and during that time the chromatographic separation was carried out with the following gradient elution: from 0 till 6 min - from 2% to 40% of phase B, then maintained at 40% of phase B for 4 minutes, increased to 90% of phase B till 11 min and held at that ratio phases for 1 minute, then decreased to 2% of phase B and finally maintained at 2% of phase B from 13 to 18 min. The injection volume was set at 2 μl and the separation temperature at 50 °C. The ion source settings were the following: curtain gas 20 psig; ion spray voltage 4500 V; ion source temperature 600 °C; ion source gas 1 = 60 psig, ion source gas 2 = 50 psig. The mass spectrometer operated in positive ionization mode and the following parameters were applied: entrance potential = 10 V; declustering potential = 30 V; collision cell exit potential = 5 V; collision energy = 30 eV (50 eV in case of 7 compounds); collision gas: nitrogen. The PFAAs were measured in scheduled multiple reaction monitoring (sMRM) mode. This mode ensures high specificity and sensitivity in quantitative analyses. A system suitability test (analysis of a standard mixture of AAs) was conducted before each batch of samples in order to warm up and check the inter-day performance of the whole system. Data acquisition and processing were performed using the Analyst 1.5 software (Sciex). The described LC-ESI-MS/MS method for determination of AAs is well established in the Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, the co-investigator of the project.
Total blood count was performed using the device Mythic 18 (Orphée, Swiss). Capillary blood samples from fingertip (20 μl per sample) were drawn simultaneously with venous blood pre-, during and postexercise. Blood lactate concentration was measured using C-line analyzer (EKF-Diagnostic, Germany).
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Sprint-Trained Athletes | – | Behavioral: Sprint trainingHighly trained track sprinters at the national or international level aged 18-35 years with sport experience 5-10 years; structured periodized training |
| Endurance-Trained Athletes | – | Behavioral: Endurance trainingHighly trained long-distance runners and triathletes at the national or international level aged 18-35 years with sport experience 5-10 years; structured periodized training |
| Amateur/Recreational Athletes (Controls) | – | Behavioral: Recreational TrainingIndividuals participating in amateur non-professional sport aged 18-35 years with activity experience 5-10 years; unstructured non-periodized training |
Who may qualify
- Ages
- 18 to 35 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- Highly trained competitive athletes aged 18-35 years with longer competitive sport experience, specialized in sports of different character - speed-power (sprinters) vs endurance (triathletes, distance runners). Amateur/recreational athletes participating in training on a regular basis.
Key inclusion criteria (8 listed)
- highly trained sprint- and endurance-trained athletes
- national or international performance level
- current participation in training programs organized by professional sports clubs or national team (licence) for at least 5 years
- current medical eligibility for competitive sport
- regular recreational activity for at least 5 years (preferred endurance disciplines)
Key exclusion criteria (7 listed)
- untrained individuals
- athletes that do not meet the above criteria for participation in professional sport
- injured athletes or those who are not able or willing to participate for other reasons
- inactive/sedentary individuals
- medical contraindications to high-intensity exercise and testing
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Sprint trainingOne-year cycle including specific sprint-oriented athletic training | Behavioural | Sprint-Trained Athletes |
| Endurance trainingOne-year cycle including specific endurance-oriented athletic training | Behavioural | Endurance-Trained Athletes |
| Recreational TrainingOne year of nonspecific recreational training | Behavioural | Amateur/Recreational Athletes (Controls) |
Primary outcome
absolute Plasma Free Amino Acids Concentration (42 amino acids)
Time frame: 4 times in a 1-year training cycle: at rest, during graded exercise (every 3 min), and during recovery (5, 10, 15, 20, and 30 min)
µmol/L
relative Plasma Free Amino Acids Concentration (42 amino acids)
Time frame: 4 times in a 1-year training cycle: at rest, during graded exercise (every 3 min), and during recovery (5, 10, 15, 20, and 30 min)
µmol/L/kg muscle mass
9 secondary outcomes
absolute Skeletal Muscle Mass (aSMM)
Time frame: 4 times in a 1-year training cycle
relative Skeletal Muscle Mass (rSMM)
Time frame: 4 times in a 1-year training cycle
absolute Lean Body Mass (aLBM)
Time frame: 4 times in a 1-year training cycle
relative Lean Body Mass (rLBM)
Time frame: 4 times in a 1-year training cycle
absolute Fat Mass (aFM)
Time frame: 4 times in a 1-year training cycle
relative Fat Mass (rFM)
Time frame: 4 times in a 1-year training cycle
absolute Maximum Oxygen Uptake (aVO2max)
Time frame: 4 times in a 1-year training cycle
relative Maximum Oxygen Uptake 1 (r1VO2max)
Time frame: 4 times in a 1-year training cycle
relative Maximum Oxygen Uptake 2 (r2VO2max)
Time frame: 4 times in a 1-year training cycle
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 9 Jan 2023.
- Background: PubMed 4815076Ahlborg G, Felig P, Hagenfeldt L, Hendler R, Wahren J. Substrate turnover during prolonged exercise in man. Splanchnic and leg metabolism of glucose, free fatty acids, and amino acids. J Clin Invest. 1974 Apr;53(4):1080-90. doi: 10.1172/JCI107645.
- Background: PubMed 7054242Ahlborg G, Felig P. Lactate and glucose exchange across the forearm, legs, and splanchnic bed during and after prolonged leg exercise. J Clin Invest. 1982 Jan;69(1):45-54. doi: 10.1172/jci110440.
- Background: PubMed 26372162Areces F, Gonzalez-Millan C, Salinero JJ, Abian-Vicen J, Lara B, Gallo-Salazar C, Ruiz-Vicente D, Del Coso J. Changes in Serum Free Amino Acids and Muscle Fatigue Experienced during a Half-Ironman Triathlon. PLoS One. 2015 Sep 15;10(9):e0138376. doi: 10.1371/journal.pone.0138376. eCollection 2015.
- Background: PubMed 6872455Ballard FJ, Tomas FM. 3-Methylhistidine as a measure of skeletal muscle protein breakdown in human subjects: the case for its continued use. Clin Sci (Lond). 1983 Sep;65(3):209-15. doi: 10.1042/cs0650209. No abstract available.
- Background: PubMed 3227900Blomstrand E, Celsing F, Newsholme EA. Changes in plasma concentrations of aromatic and branched-chain amino acids during sustained exercise in man and their possible role in fatigue. Acta Physiol Scand. 1988 May;133(1):115-21. doi: 10.1111/j.1748-1716.1988.tb08388.x.
- Background: PubMed 22350359Borgenvik M, Nordin M, Mikael Mattsson C, Enqvist JK, Blomstrand E, Ekblom B. Alterations in amino acid concentrations in the plasma and muscle in human subjects during 24 h of simulated adventure racing. Eur J Appl Physiol. 2012 Oct;112(10):3679-88. doi: 10.1007/s00421-012-2350-8. Epub 2012 Feb 18.
- Background: PubMed 9839078Castell LM, Newsholme EA. Glutamine and the effects of exhaustive exercise upon the immune response. Can J Physiol Pharmacol. 1998 May;76(5):524-32. doi: 10.1139/cjpp-76-5-524.
- Background: PubMed 11310927Cuisinier C, Ward RJ, Francaux M, Sturbois X, de Witte P. Changes in plasma and urinary taurine and amino acids in runners immediately and 24h after a marathon. Amino Acids. 2001;20(1):13-23. doi: 10.1007/s007260170062.
- Background: PubMed 446472Decombaz J, Reinhardt P, Anantharaman K, von Glutz G, Poortmans JR. Biochemical changes in a 100 km run: free amino acids, urea, and creatinine. Eur J Appl Physiol Occup Physiol. 1979 Apr 12;41(1):61-72. doi: 10.1007/BF00424469.
- Background: PubMed 28138303Derezinski P, Klupczynska A, Sawicki W, Palka JA, Kokot ZJ. Amino Acid Profiles of Serum and Urine in Search for Prostate Cancer Biomarkers: a Pilot Study. Int J Med Sci. 2017 Jan 1;14(1):1-12. doi: 10.7150/ijms.15783. eCollection 2017.
- Background: PubMed 2606590Einspahr KJ, Tharp G. Influence of endurance training on plasma amino acid concentrations in humans at rest and after intense exercise. Int J Sports Med. 1989 Aug;10(4):233-6. doi: 10.1055/s-2007-1024908.
- Background: PubMed 5129318Felig P, Wahren J. Amino acid metabolism in exercising man. J Clin Invest. 1971 Dec;50(12):2703-14. doi: 10.1172/JCI106771.
- Individual participant dataSharing planned: Yes. All individual participant data that underlie results in a publication
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Krzysztof Kusy, PhD principal investigator
Poznan University of Physical Education
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Healthy Athletes Aged 18-35 Years, run by Poznan University of Physical Education at 1 site in Poland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 9 Jan 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Poland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
absolute Plasma Free Amino Acids Concentration (42 amino acids) (time frame: 4 times in a 1-year training cycle: at rest, during graded exercise (every 3 min), and during recovery (5, 10, 15, 20, and 30 min)). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05672758, which also lists 36 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 9 Jan 2023.