Evidence map›Paper›PMID 39934699›Full record

ArticleBMC genomics2025

The interactions between monocarboxylate transporter genes MCT1, MCT2, and MCT4 and the kinetics of blood lactate production and removal after high-intensity efforts in elite males: a cross-sectional study.

Ewelina Maculewicz, Andrzej Mastalerz, Aleksandra Garbacz, Anna Mróz, Petr Stastny, Miroslav Petr, Dominik Kolinger, Pavlina Vostatková, Aleksandra Bojarczuk

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Associations Between Genetic Variants inInternational journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ewelina MaculewiczFaculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, 00-809, Poland.
Andrzej MastalerzFaculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, 00-809, Poland.
Aleksandra GarbaczWarsaw University of Life Sciences - SGGW, Warsaw, 02-787, Poland.
Anna MrózFaculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, 00-809, Poland.
Petr StastnyFaculty of Physical Education and Sport, Charles University, Prague, 162-52, Czech Republic.
Miroslav PetrFaculty of Physical Education and Sport, Charles University, Prague, 162-52, Czech Republic.
Dominik KolingerFaculty of Physical Education and Sport, Charles University, Prague, 162-52, Czech Republic.
Pavlina VostatkováFaculty of Physical Education and Sport, Charles University, Prague, 162-52, Czech Republic.
Aleksandra BojarczukFaculty of Physical Education, Gdansk University of Physical Education and Sport, Gdansk, 80-336, Poland. aleksandra.bojarczuk@awf.gda.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis cross-sectional study investigated the relationship between genetic variations in monocarboxylate transporter genes and blood lactate production and removal after high-intensity efforts in humans. The study was conducted to explore how genetic variations in the MCT1, MCT2, and MCT4 genes influenced lactate dynamics and to advance the field of sports genetics by pinpointing critical genetic markers that can enhance athletic performance and recovery.

methods337 male athletes from Poland and the Czech Republic underwent two intermittent all-out Wingate tests. Before the tests, DNA samples were taken from each participant, and SNP (single nucleotide polymorphism) analysis was carried out. Two intermittent all-out tests were implemented, and lactate concentrations were assessed before and after these tests.

resultsSprinters more frequently exhibited the haplotype TAC in the MCT2 gene, which was associated with an increase in the difference between maximum lactate and final lactate concentration. Additionally, this haplotype was linked to higher maximum lactate concentration and was more frequently observed in sprinters. The genotypic interactions AG/T- and GGxT- (MCT1 rs3789592 x MCT4 rs11323780), TTxTT (MCT1 rs12028967 x MCT2 rs3763979), and MCT1 rs7556664 x MCT4 rs11323780 were all associated with an increase in the difference between maximum lactate concentration and final lactate concentration. Conversely, the AGxGG (MCT1 rs3789592 x MCT2 rs995343) interaction was linked to a decrease in this difference. The relationship between maximum lactate concentration and genotypic interactions can be observed as follows: when ATxTT (MCT2 rs3763980 x MCT4 rs11323780) or CTxCT (MCT1 rs10857983 x MCT2 rs3763979) genotypic combinations are present, it leads to a decrease in maximum lactate concentration. Similarly, the combination of CTxCT (MCT1 rs4301628 x MCT2 rs3763979), CT x TT (MCT1 rs4301628 x MCT4 rs11323780), and CTxTT (MCT1 rs4301628 x MCT2 rs3763979) results in decreased maximum lactate concentration.

conclusionsThe TAC haplotype (rs3763980, rs995343, rs3763979) in the MCT2 gene is associated with altered lactate clearance in sprinters, potentially affecting performance and recovery by elevating post-exercise lactate concentrations. While MCT4 rs11323780 is also identified as a significant variant in lactate metabolism, suggesting its role as a biomarker for sprinting performance, further investigation is necessary to clarify underlying mechanisms and consider additional factors. Based on elite male athletes from Poland and the Czech Republic, the study may not generalize to all sprinters or diverse athletic populations. Although genetic variants show promise as biomarkers for sprinting success, athletic performance is influenced by a complex interplay of genetics, environment, and training extending beyond MCT genes.

Indexed as

Lactic AcidMonocarboxylic Acid TransportersMuscle ProteinsSymportersAdultAthletesCross-Sectional StudiesGenotypeHaplotypesHumansKineticsMaleMonocarboxylate Transport Protein 1Polymorphism, Single NucleotideYoung AdultLactic AcidMonocarboxylate Transport Protein 1Monocarboxylic Acid TransportersMuscle ProteinsSLC16A2 protein, humanSLC16A4 protein, humanSymportersAthletic trainingGenetic predispositionGenetic variantsGenotypeHaplotypeLactate kineticsSprint

Identifiers

PMID39934699
PMCPMC11817040

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.