Association Between Training Load and Lactate and Other Metabolites Analyzed by Metabolomic and Proteomic Techniques (PROTEOMET)

F

Fundació Eurecat

Status

Not yet enrolling

Conditions

Metabolomics
Lactate
Proteomics
Sports Performance

Treatments

Other: Single basketball training

Study type

Interventional

Funder types

Other

Identifiers

NCT06365320
PROTEOMET

Details and patient eligibility

About

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.

Full 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.

Enrollment

70 estimated patients

Sex

All

Ages

18 to 40 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • 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.

Exclusion criteria

  • 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 design

Primary purpose

Other

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

70 participants in 1 patient group

Pre-test and post-test measurements
Experimental group
Description:
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.
Treatment:
Other: Single basketball training

Trial contacts and locations

1

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Central trial contact

Anna Crescenti, PhD; Nuria Canela, PhD

Data sourced from clinicaltrials.gov

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