Evidence map›Paper›PMID 40282421›Full record

ArticleGenes2025

Genetic Profiling and Performance Optimization in Elite Combat Sport Athletes: A Cross-Sectional Study Based on Total Genetic Score Analysis.

Andrea Pagliaro, Anna Alioto, Alessia Boatta, Giuseppe Messina, Patrik Drid, Paolo Milazzo, Cristina Cortis, Andrea Fusco, Sonya Vasto, Patrizia Proia and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Andrea PagliaroDepartment of Psychology, Educational Science and Human Movement, Sport and Exercise Sciences Research Unit, University of Palermo, 90128 Palermo, Italy.ORCID 0009-0008-3526-6382
Anna AliotoDepartment of Psychology, Educational Science and Human Movement, Sport and Exercise Sciences Research Unit, University of Palermo, 90128 Palermo, Italy.
Alessia BoattaDepartment of Psychology, Educational Science and Human Movement, Sport and Exercise Sciences Research Unit, University of Palermo, 90128 Palermo, Italy.
Giuseppe MessinaDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele University, 00166 Rome, Italy.ORCID 0000-0003-2774-4950
Patrik DridFaculty of Sport and Physical Education, University of Novi Sad, 21000 Novi Sad, Serbia.ORCID 0000-0002-2075-6038
Paolo MilazzoDepartment of Psychology, Educational Science and Human Movement, Sport and Exercise Sciences Research Unit, University of Palermo, 90128 Palermo, Italy.
Cristina CortisDepartment of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, 03043 Cassino, Italy.ORCID 0000-0001-9643-5532
Andrea FuscoDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-9090-4454
Sonya VastoDepartment of Biological Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-6033-4745
Patrizia ProiaDepartment of Psychology, Educational Science and Human Movement, Sport and Exercise Sciences Research Unit, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-0326-5560
Sara BaldassanoDepartment of Biological Chemical and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, 90128 Palermo, Italy.ORCID 0000-0002-5160-5865

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe interplay between genetics and athletic performance has garnered significant attention, particularly regarding performance-enhancing polymorphisms (PEPs) and their role in determining key traits that are critical for athletic success. Therefore, this study investigates the genetic predispositions related to peroxisome proliferator-activated receptor alpha (PPARα), angiotensin converting enzyme (ACE), and creatine kinase muscle-type (CKM) gene variants and their potential influence on elite point-fighting (PF) athletes.

methodsA total of 24 elite PF athletes (12 women and 12 men; age = 22.1 ± 5.8 years; body mass = 66.1 ± 15.4 kg; and height = 173.0 ± 9.5 cm, BMI = 21.8 ± 3.2 kg·m

resultsGenotyping revealed a high prevalence of key genetic markers among participants, with the D allele (58.33%) and ID genotype (66.67%) for the ACE variant, the G allele (77.08%) and GG genotype (54.17%) for PPARα, and the A allele (77.08%) with an AA genotype (62.50%) for CKM. The Total Genetic Score (TGS) analysis indicated a mixed-oriented genetic predisposition across the sample.

conclusionsAlthough PF athletes showed mixed aerobic/anaerobic genetic profiles, their training routines were primarily strength-oriented, suggesting a possible misalignment between genetic predispositions and their current training approach. These findings offer preliminary insights into the genetic characteristics of elite PF athletes and may inform future investigations into the potential role of genetic information in guiding training strategies.

Indexed as

AthletesAthletic PerformanceCreatine Kinase, MM FormGenetic ProfilePeptidyl-Dipeptidase APPAR alphaAdultAllelesCross-Sectional StudiesFemaleGenotypeHumansMalePolymorphism, Single NucleotideYoung AdultACE protein, humanCreatine Kinase, MM FormPeptidyl-Dipeptidase APPAR alphaperformance-enhancing polymorphismpersonalized trainingpoint-fightingtotal genetic score

Identifiers

PMID40282421
PMCPMC12026721

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.