Evidence map›Paper›PMID 42469611›Full record

ArticleBMC genomics2026

Molecular characterization in elite rock climbers: insights from multi-omics analysis.

Rongqi Liang, Jingjing Li, Long Cao, Cheng Wang, Shaoqin Zhang, Xing Ye

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Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Rongqi LiangSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, 430074, China.
Jingjing LiCollege of Post and Telecommunication of WIT (Wuhan Institute of Technology), Wuhan, 430073, China.
Long CaoSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, 430074, China.
Cheng WangGuizhou Mountain Outdoor Sports Development Center, Guiyang, 550004, China.
Shaoqin ZhangGuizhou Medical University, Guiyang, 561113, China.
Xing YeSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, 430074, China. xingye_edu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElite rock climbing is characterized by sustained upper-limb-dominant loading and complex systemic demands. However, the molecular signatures associated with elite climbing-related adaptation remain poorly defined. This study integrates physiological, functional, transcriptomic, and metabolomic profiling to characterize the potential mechanisms underlying these adaptations.

designThis is a cross-sectional study comparing the molecular profiles of elite rock climbers and matched non-climbers.

methodsA total of 40 participants were recruited, comprising 20 elite rock climbers certified as National Master Sportsmen (athlete group) and 20 age, sex, and body mass matched non climbers (control group). Participants underwent functional assessments for vascular reactivity via flow-mediated dilation and climbing specific forearm endurance through dead hang and intermittent grip tests. Fasting venous blood samples were analyzed for biochemical markers, while integrated transcriptomic and metabolomic profiles were established to identify molecular signatures. Data were analyzed using differential expression profiling, functional enrichment, and joint pathway analysis, with results validated by qRT-PCR.

resultsThe athlete group exhibited significantly superior functional performance characterized by enhanced vascular endothelial function and prolonged forearm endurance alongside widespread systemic adaptations, as reflected by elevated levels of cortisol, creatine kinase, blood urea nitrogen, hemoglobin, plasma volume and total hemoglobin mass (p < 0.05). RNA sequencing identified 850 differentially expressed genes (|log₂FC| ≥ 1, FDR < 0.05), which were predominantly enriched in cAMP, Apelin, PPAR, TNF, and HIF-1 signaling pathways. Metabolomics detected 71 differential metabolites (VIP ≥ 1, |log₂FC| ≥1.5, FDR < 0.05), enriched in Insulin secretion, glycolysis/gluconeogenesis, fatty acid degradation, and amino acid metabolism. Integrated transcriptomic and metabolomic analyses revealed that elite climbers exhibited multidimensional molecular adaptation signatures associated with the specific demands of climbing, mainly characterized by enhanced metabolic flexibility, vascular regulation, and optimized metabolic homeostasis. These changes collectively optimized metabolic flexibility, redox homeostasis and controlled inflammation. Validation via qRT-PCR confirmed the RNA-Seq results.

conclusionsElite rock climbers exhibited multilayered physiological, transcriptional, and metabolic features associated with energy homeostasis, redox balance, inflammatory modulation, and neuromuscular performance. These insights establish a molecular blueprint for evidence-based training optimization and personalized sports interventions.

Indexed as

AthletesMetabolomicsMountaineeringAdaptation, PhysiologicalAdultCross-Sectional StudiesFemaleGene Expression ProfilingHumansMaleMetabolomeMultiomicsPhysical EnduranceTranscriptomeElite rock climbersMetabolomicMolecular AdaptationsTranscriptomic

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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.