LactatePROTEOMETNCT06365320
Association Between Training Load and Lactate and Other Metabolites Analyzed by Metabolomic and Proteomic Techniques
A study testing Single basketball training in people with Lactate and Sports Performance, run by Fundació Eurecat at 2 sites in Spain.
Trial summary
Physical exercise induces numerous changes in the body in a complex signalling network caused by or in response to increased metabolic activity of contracting skeletal muscles. The application of omics analytical techniques such as proteomics and metabolomics in the field of sport allows us to understand how the human… Read more about this study
- Who is it for?
- Ages 18 to 40 yearsHealthy volunteers can take part
- Conditions the study is for
- Lactate, Sports Performance, Metabolomics
- What is being tested?
- Single basketball training
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 60 participants
- Where
- 2 sitesSpain
- Study dates
- 4 Oct 2024to 1 Apr 2025
- Phase
- Interventional
- 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 40 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Men and women, active players of the Catalan Basketball Federation and the Spanish Basketball Federation between 18 and 40 years old (both included).
- Sign the informed consent.
Who cannot join
- Present any metabolic disorder that may interfere with the objectives of the study (high blood pressure, diabetes, hypercholesterolemia or obesity; Body Mass Index (BMI) values ≥ 35 Kg/m2.
- Suffer from disorders of glucose metabolism that may alter lactate synthesis, such as lactic acidosis, hyperlactatemia, or other metabolic acidosis.
- Taking any type of medication that may alter metabolite or lactate levels.
- Having belonephobia (phobia of needles).
- Take ergogenic aids or supplements based on sucrose or glucose polymers before, during, or after training.
- Being a smoker.
- Being pregnant.
- Breastfeeding.
Trial locations and contacts
2 sites in 1 country.
Spain2 sites
Fundació Eurecat, Center for Omic Sciences
Reus, Tarragona, 43204
Fundació Eurecat
Reus, Tarragona, 43204
About this study
Official title: Evaluation of the Relationship Between Training Load and the Levels of Lactate and Other Metabolites Analyzed in Blood and Saliva Samples Using Metabolomic and Proteomic Techniques in Federated Basketball Players: Quasi-experimental Study
Physical exercise induces numerous changes in the body in a complex signalling network caused by or in response to increased metabolic activity of contracting skeletal muscles.
The application of omics analytical techniques such as proteomics and metabolomics in the field of sport allows us to understand how the human body responds to exercise and how sports results can be improved by optimising nutrition and training. Both omics techniques offer a quantitative measurement of the metabolic profiles associated with exercise and are able to identify metabolic signatures of athletes from different sports disciplines.
Read more
Basketball is a high-intensity exercise modality interspersed with low-intensity. The performance requirements of basketball include aerobic and anaerobic metabolism, with anaerobic metabolism being considered the main energy system. Therefore, basketball players need great athletic ability to produce a successful performance during competition.
For optimal sports performance it is important to adjust the training load, i.e. the degree of effort that the player can withstand in a single training session. Coaches require effective and objective load monitoring tools that allow them to make decisions about training plans based on the needs of each player.
Microsampling systems emerge as an alternative to venipuncture by facilitating self-sampling, which can be carried out outside healthcare centres, in a comfortable and precise way from a small finger prick that the user can perform. These systems are less expensive and can be effective in measuring the levels of glucose metabolism products, such as lactate, through the application of metabolomics and proteomics. On the other hand, the use of non-invasive methods of measuring lactate levels is becoming increasingly popular in sports medicine. The use of saliva as an alternative fluid to the blood shows promise for identifying the concentrations of metabolites that occur during and after sports training.
Read the detailed description
The study hypothesizes that the use of minimally invasive microsampling systems, and subsequent application of metabolomics and proteomics, will allow the detection of differences in the levels of lactate and other metabolites and proteins produced by the greater energy demand of the musculoskeletal system after a single collective training on the court, in federated basketball players. In addition, lactate levels will be correlated with the subjective sensation of perceived exertion.
The main objective of the study is to apply metabolomics techniques to analyze lactate levels in capillary blood samples collected by a dried blood spot (DBS) microsampling device, and to study their correlation with the subjective sensation of perceived effort in federated basketball players before and after performing a single collective training session on the court.
The secondary objectives of the study are to measure the change in lactate levels in capillary blood samples collected by a DBS device, and in saliva samples collected by a collector, before and after performing a single collective training on the court. In addition, in these samples, the change in the levels of other metabolomic and proteomic markers related to energy, lipid and amino acid metabolism will be measured. The correlation between salivary and blood lactate levels will also be studied; subjective sensation of perceived exertion and salivary lactate levels; the subjective sensation of perceived exertion and the levels of other metabolomic and proteomic markers will be also studied.
A single-group quasi-experimental (or pre-post) study will be carried out on 70 basketball players between the ages of 18 and 40.
Each participant will attend 2 visits to the sports facilities of their basketball club:
- A recruitment and pre-selection visit (to check the eligibility criteria and sign the informed consent). If the inclusion criteria are met, will be scheduled to:
- A single study visit on the same day agreed for training.
The main variable of the study is the correlation between lactate levels, measured in capillary blood pre- and post-training, and the subjective sensation of perceived effort.
- Conditions
- Lactate, Sports Performance, Metabolomics, Proteomics
- Being tested
- Single basketball training
- Keywords
- Physical training, Lactate, Dried Blood Spot Method, Basketball
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Single basketball trainingOther
Single basketball training session with fixed intensity and duration
| Study group | Role | What they receive |
|---|---|---|
| Pre-test and post-test measurements | Experimental | Before and after a single collective training on the court. Collection of capillary blood and saliva samples; Completion of lifestyle questionnaires and sociodemographic and clinical factors; Anthropometric measurements. Receives: Other: Single basketball training |
What is being measured
The primary outcome is the main question the study is designed to answer.
Correlation between blood lactate levels and the subjective sensation of perceived effort
Lactate concentration (μM) measured in capillary blood pre- and post- training. Four drops of capillary blood will be collected pre- and post-training by means of a puncture with a retractable lancet on the index, middle or ring finger, and deposited on a dried blood spot (DBS) "HemaXis DB10" card for analysis.
The subjective sensation of perceived effort will be assessed with the Perceived Exertion Index (RPE) measured post-training. This tool is used to monitor perceived effort during sports practice. It consists of a graduated scale from 0 to 10 where 0 is rest and 10 is maximum perceived effort.
Measured: Pre-training (baseline) and post-training (immediately after the training)
Secondary outcomes (25)
Change in saliva lactate levels
A 15 mL Falcon tube will be used to collect the saliva sample by passive salivation. The lactate concentration in saliva will be analysed using the GC-qTOF technique.
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in blood lactate levels
Lactate concentration (μM) measured in capillary blood collected in a dried blood spot card (DBS). The dried blood samples will be shipped to the analytical laboratory and analysed using combined analysis of liquid chromatography (UHPLC) coupled to triple quadrupole mass spectrometry (QqQ/MS) or quadrupole-time-of-flight mass spectrometry (qTOF/MS).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of lipid metabolic markers determined in capillary blood samples
Lipid metabolic marker levels (described below) will be measured in capillary blood samples using the same DBS device as in the case of the primary outcome. Liquid chromatography (UHPLC 1290 Infinity II Series, Agilent Technologies) coupled to quadrupole - time of flight mass spectrometry (qTOF/MS 6546 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured lipids: phosphatidylcholines, lysophosphatidylcholines, sphingomyelins, diglycerides, triglycerides, cholesterol esters, phosphatidylethanolamine and lysophosphatidylethanolamines.
All lipid metabolic markers in capillary bood will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of other lipid metabolic markers determined in capillary blood samples
Lipid metabolic marker levels (described below) will be measured in capillary blood samples using the same DBS device as in the case of the primary outcome. Liquid chromatography (UHPLC 1290 Infinity II Series, Agilent Technologies) coupled to triple quadrupole mass spectrometry (QqQ/MS 6490 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured lipids: oxylipins, non-esterified fatty acids, hormones, and acetylcarnitines.
All lipid metabolic markers in capillary blood will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of polar metabolites determined in capillary blood samples
Polar metabolites (described below) will be measured in capillary blood samples using the same DBS device as in the case of the primary outcome. Gas chromatography coupled to quadrupole - time of flight mass spectrometry (GC-qTOF 7200 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured polar metabolites: organic acids, amino acids, compounds related to energy metabolism and sugars.
All polar metabolites in capillary blood will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of lipid metabolic markers determined in saliva samples
Lipid metabolic markers (described below) will be measured in saliva samples using a collection tube (15 mL Falcon tube). Gas chromatography coupled to quadrupole - time of flight mass spectrometry (GC-qTOF 7200 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured lipids: phosphatidylcholines, lysophosphatidylcholines, sphingomyelins, diglycerides, triglycerides, cholesterol esters, phosphatidylethanolamine and lysophosphatidylethanolamines.
All lipid metabolic markers in saliva will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of other lipid metabolic markers determined in saliva samples
Lipid metabolic marker levels (described below) will be measured in saliva samples using a collection tube (15 mL Falcon tube). Liquid chromatography (UHPLC 1290 Infinity II Series, Agilent Technologies) coupled to triple quadrupole mass spectrometry (QqQ/MS 6490 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured lipids: oxylipins, non-esterified fatty acids, hormones, and acetylcarnitines.
All lipid metabolic markers in saliva will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of polar metabolites determined in saliva samples
Polar metabolites (described below) will be measured in saliva samples using a collection tube (15 mL Falcon tube). Gas chromatography coupled to quadrupole - time of flight mass spectrometry (GC-qTOF 7200 Series, Agilent Technologies) will be used as metabolomic techniques.
Measured polar metabolites: organic acids, amino acids, compounds related to energy metabolism and sugars.
All polar metabolites in saliva will be reported in micromol (µM).
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of proteomic markers determined in capillary blood samples
Proteomic marker levels will be determined using the same DBS device as in the case of the primary outcome. The proteins in blood will be digested with trypsin to obtain peptides. The peptides will be analyzed by liquid nanochromatography coupled to mass spectrometry. The identification of the proteins will be carried out using the UniProt Homo Sapiens database using the Proteome Discoverer software (ThermoFisher Scientific).
All proteomic markers in capillary blood will be reported in arbitrary units as a relative unit of measurement.
Measured: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of proteomic markers determined in saliva samples
The proteins in saliva will be digested with trypsin to obtain peptides. The peptides will be analyzed by liquid nanochromatography coupled to mass spectrometry. The identification of the proteins will be carried out using the UniProt Homo Sapiens database using the Proteome Discoverer software (ThermoFisher Scientific).
All proteomic markers in saliva will be reported in arbitrary units as a relative unit of measurement.
Measured: Pre-training (baseline) and post-training (immediately after the training)
Pittsburgh Sleep Quality Index
It is a validated scale that measures the usual sleep habits during the past month. It consists of 7 areas: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medication, and daytime dysfunction. It contains a total of 19 items, grouped into 10 questions where each of the areas evaluated is scored between 0 and 3. The scores from the seven areas are finally added up to give an overall score. The component scores are summed to produce a global score (range 0 to 21). Higher scores indicate worse sleep quality.
Measured: Pre-training (baseline)
Heart rate variations
It will be measured, in bpm, in real time throughout training using an optical heart rate sensor (Polar Verity Sense) fitted to the left arm of each player with a textile elastic armband. The device monitors heart rate in real time. The average heart rate will be calculated with the data collected throughout the training.
Measured: During the training
Sociodemographic data: age and birth date
Age will be recorded in years, and birth date in the format DD/MM/YYYY. It will be recorded in the case report form.
Measured: Pre-training (baseline)
Sociodemographic data: sex
Sex will be recorded as male or female in the case report form.
Measured: Pre-training (baseline)
Lifestyle data: weekly training load
Weekly training load will be recorded as hours/week in the case report form.
Measured: Pre-training (baseline)
Lifestyle data: playing position
Playing position, will be recorded as base, shooting guard, small forward, power forward or center in the case report form.
Measured: Pre-training (baseline)
Clinical data: use of supplementation
Use of supplementation will be recorded in the case report form.
Measured: Pre-training (baseline)
Clinical data: use of medication
Use of medication will be recorded in the case report form.
Measured: Pre-training (baseline)
Clinical data: previous muscle injuries
Previous muscle injuries will be recorded in the case report form.
Measured: Pre-training (baseline)
Physiological data
Physiological data, including presence of current menstruation in women, will be recorded in the case report form.
Measured: Pre-training (baseline)
Anthropometric data: weight
Weight will be measured in kg with a portable digital scale (Beuer b180) and recorded in the case report form.
Measured: Pre-training (baseline)
Anthropometric data: height
Height will be measured in cm with a portable stadiometer and recorded in the case report form.
Measured: Pre-training (baseline)
Anthropometric data: body mass index
Body mass index will be recorded in kg/m² in the case report form.
Measured: Pre-training (baseline)
Anthropometric data: fat mass percentage
Fat mass percentage (%) will be measured with a portable digital scale (Beuer b180) and recorded in the case report form.
Measured: Pre-training (baseline)
Anthropometric data: muscle mass percentage
Muscle mass percentage (%) will be measured with a portable digital scale (Beuer b180) and recorded in the case report form.
Measured: Pre-training (baseline)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Apr 2024
- Study start4 Oct 2024
- Primary completion1 Apr 2025
- Study completion1 Apr 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for LactateStudies 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
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- Single-group pretest-posttest design (quasi- experimental)
- Masking
- None (open label)
- Enrolment
- 60 participants (actual)
Sponsor and investigators
- Lead sponsor
- Fundació Eurecat
- Sponsor type
- University, hospital or other
- Collaborators
- University Rovira i Virgili
- Responsible party
- Sponsor
- Investigators
- Nuria Canela, PhD, Principal investigator, Fundació Eurecat, Center for Omic SciencesAntoni Caimari, PhD, Study director, Fundació Eurecat, Biotechnology Area
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06365320
- Sponsor's protocol ID
- PROTEOMET
- Acronym
- PROTEOMET
- Status last verified
- Apr 2025
- First submitted
- 25 Mar 2024
- Last updated
- 17 Apr 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 17 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of the Relationship Between Training Load and the Levels of Lactate and Other Metabolites Analyzed in Blood and Saliva Samples Using Metabolomic and Proteomic Techniques in Federated Basketball Players: Quasi-experimental Study
- ClinicalTrials.gov ID
- NCT06365320
- Acronym / sponsor ID
- PROTEOMET / PROTEOMET
- Conditions
- Lactate, Sports Performance, Metabolomics, Proteomics
- Keywords
- Physical training, Lactate, Dried Blood Spot Method, Basketball
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 60 participants (actual)
- Lead sponsor
- Fundació EurecatUniversity, hospital or other
- Collaborators
- University Rovira i Virgili
- Study start
- 4 Oct 2024 (actual)
- Primary completion
- 1 Apr 2025 (actual)
- Study completion
- 1 Apr 2025 (actual)
- First posted
- 15 Apr 2024 (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.
Physical exercise induces numerous changes in the body in a complex signalling network caused by or in response to increased metabolic activity of contracting skeletal muscles.
The application of omics analytical techniques such as proteomics and metabolomics in the field of sport allows us to understand how the human body responds to exercise and how sports results can be improved by optimising nutrition and training. Both omics techniques offer a quantitative measurement of the metabolic profiles associated with exercise and are able to identify metabolic signatures of athletes from different sports disciplines.
Basketball is a high-intensity exercise modality interspersed with low-intensity. The performance requirements of basketball include aerobic and anaerobic metabolism, with anaerobic metabolism being considered the main energy system. Therefore, basketball players need great athletic ability to produce a successful performance during competition.
For optimal sports performance it is important to adjust the training load, i.e. the degree of effort that the player can withstand in a single training session. Coaches require effective and objective load monitoring tools that allow them to make decisions about training plans based on the needs of each player.
Microsampling systems emerge as an alternative to venipuncture by facilitating self-sampling, which can be carried out outside healthcare centres, in a comfortable and precise way from a small finger prick that the user can perform. These systems are less expensive and can be effective in measuring the levels of glucose metabolism products, such as lactate, through the application of metabolomics and proteomics. On the other hand, the use of non-invasive methods of measuring lactate levels is becoming increasingly popular in sports medicine. The use of saliva as an alternative fluid to the blood shows promise for identifying the concentrations of metabolites that occur during and after sports training.
Detailed description
The study hypothesizes that the use of minimally invasive microsampling systems, and subsequent application of metabolomics and proteomics, will allow the detection of differences in the levels of lactate and other metabolites and proteins produced by the greater energy demand of the musculoskeletal system after a single collective training on the court, in federated basketball players. In addition, lactate levels will be correlated with the subjective sensation of perceived exertion.
The main objective of the study is to apply metabolomics techniques to analyze lactate levels in capillary blood samples collected by a dried blood spot (DBS) microsampling device, and to study their correlation with the subjective sensation of perceived effort in federated basketball players before and after performing a single collective training session on the court.
The secondary objectives of the study are to measure the change in lactate levels in capillary blood samples collected by a DBS device, and in saliva samples collected by a collector, before and after performing a single collective training on the court. In addition, in these samples, the change in the levels of other metabolomic and proteomic markers related to energy, lipid and amino acid metabolism will be measured. The correlation between salivary and blood lactate levels will also be studied; subjective sensation of perceived exertion and salivary lactate levels; the subjective sensation of perceived exertion and the levels of other metabolomic and proteomic markers will be also studied.
A single-group quasi-experimental (or pre-post) study will be carried out on 70 basketball players between the ages of 18 and 40.
Each participant will attend 2 visits to the sports facilities of their basketball club:
- A recruitment and pre-selection visit (to check the eligibility criteria and sign the informed consent). If the inclusion criteria are met, will be scheduled to:
- A single study visit on the same day agreed for training.
The main variable of the study is the correlation between lactate levels, measured in capillary blood pre- and post-training, and the subjective sensation of perceived effort.
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- Single-group pretest-posttest design (quasi- experimental)
| Arm | Type | Receives |
|---|---|---|
| Pre-test and post-test measurements | Experimental | Other: Single basketball trainingBefore and after a single collective training on the court. Collection of capillary blood and saliva samples; Completion of lifestyle questionnaires and sociodemographic and clinical factors; Anthropometric measurements. |
Who may qualify
- Ages
- 18 to 40 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (2 listed)
- Men and women, active players of the Catalan Basketball Federation and the Spanish Basketball Federation between 18 and 40 years old (both included).
- Sign the informed consent.
Key exclusion criteria (8 listed)
- Present any metabolic disorder that may interfere with the objectives of the study (high blood pressure, diabetes, hypercholesterolemia or obesity; Body Mass Index (BMI) values ≥ 35 Kg/m2.
- Suffer from disorders of glucose metabolism that may alter lactate synthesis, such as lactic acidosis, hyperlactatemia, or other metabolic acidosis.
- Taking any type of medication that may alter metabolite or lactate levels.
- Having belonephobia (phobia of needles).
- Take ergogenic aids or supplements based on sucrose or glucose polymers before, during, or after training.
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 |
|---|---|---|
| Single basketball trainingSingle basketball training session with fixed intensity and duration | Other | Pre-test and post-test measurements |
Primary outcome
Correlation between blood lactate levels and the subjective sensation of perceived effort
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Lactate concentration (μM) measured in capillary blood pre- and post- training. Four drops of capillary blood will be collected pre- and post-training by means of a puncture with a retractable lancet on the index, middle or ring finger, and deposited on a dried blood spot (DBS) "HemaXis DB10" card for analysis. The subjective sensation of perceived effort will be assessed with the Perceived Exertion Index (RPE) measured post-training. This tool is used to monitor perceived effort during sports practice. It consists of a graduated scale from 0 to 10 where 0 is rest and 10 is maximum perceived effort.
25 secondary outcomes
Change in saliva lactate levels
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in blood lactate levels
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of lipid metabolic markers determined in capillary blood samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of other lipid metabolic markers determined in capillary blood samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of polar metabolites determined in capillary blood samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of lipid metabolic markers determined in saliva samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of other lipid metabolic markers determined in saliva samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of polar metabolites determined in saliva samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of proteomic markers determined in capillary blood samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Change in levels of proteomic markers determined in saliva samples
Time frame: Pre-training (baseline) and post-training (immediately after the training)
Pittsburgh Sleep Quality Index
Time frame: Pre-training (baseline)
Heart rate variations
Time frame: During the training
Sociodemographic data: age and birth date
Time frame: Pre-training (baseline)
Sociodemographic data: sex
Time frame: Pre-training (baseline)
Lifestyle data: weekly training load
Time frame: Pre-training (baseline)
Lifestyle data: playing position
Time frame: Pre-training (baseline)
Clinical data: use of supplementation
Time frame: Pre-training (baseline)
Clinical data: use of medication
Time frame: Pre-training (baseline)
Clinical data: previous muscle injuries
Time frame: Pre-training (baseline)
Physiological data
Time frame: Pre-training (baseline)
Anthropometric data: weight
Time frame: Pre-training (baseline)
Anthropometric data: height
Time frame: Pre-training (baseline)
Anthropometric data: body mass index
Time frame: Pre-training (baseline)
Anthropometric data: fat mass percentage
Time frame: Pre-training (baseline)
Anthropometric data: muscle mass percentage
Time frame: Pre-training (baseline)
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 17 Apr 2025.
- Technological Centre of Nutrition and Health. Eurecat, Reus, Spain.Link provided by the sponsor.
- Center for Omic Sciences. Eurecat, Reus, Spain.Link provided by the sponsor.
- Individual participant dataSharing planned: No
Related trials for Lactate
Active, not recruitingObservational study
Isolation of Probiotic Lactic Acid Bacteria From Bangladeshi Fermented Foods
Isolation, Identification
Recruiting
Lactic Acid Bacteria in Functional Diarrheal Disorders
IBS-D (Diarrhea-predominant), IBS (Irritable Bowel Syndrome)
Not yet recruitingObservational study
Lactate/Albumin Ratio and Mortality in Respiratory Failure
Acute Respiratory Failure, Critical Illness
Recruiting
Lactic Acid Bacteria for Reducing Blue Light-Induced Eye Fatigue
Digital Eye Strain (DES)
Not yet recruitingObservational study
Evaluate Precision of the Test for Lactate in Capillary Whole Blood Specimens Using the i-STAT CG4+ Cartridge With the i-STAT 1 Analyzer
Lactate
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.
Nuria Canela, PhD principal investigator
Fundació Eurecat, Center for Omic Sciences
Antoni Caimari, PhD study director
Fundació Eurecat, Biotechnology Area
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Single basketball training in people with Lactate and Sports Performance, run by Fundació Eurecat at 2 sites in Spain.
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 2 inclusion and 8 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: finished, as of the sponsor's last update on 17 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Spain. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
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?
Correlation between blood lactate levels and the subjective sensation of perceived effort (time frame: Pre-training (baseline) and post-training (immediately after the training)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
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 17 Apr 2025.