Method Article

A Standardized Metabolomics Protocol For Analyzing Exercise-Induced Metabolic Shifts In Elite Boxers By Liquid Chromatography-Mass Spectrometry

DOI:

10.3791/70719

May 22nd, 2026

In This Article

Summary

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This protocol describes a standardized serum metabolomics workflow based on liquid chromatography coupled to quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS) and multivariate data analysis for profiling acute and short-term recovery-related metabolic shifts in elite male boxers.

Abstract

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Elite boxing induces rapid metabolic changes that are not fully captured by conventional physiological measurements. A standardized untargeted serum metabolomics workflow based on liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS) was applied to samples collected before sparring, immediately after sparring, and 24 h after sparring in seven elite male boxers. The workflow included standardized sample collection, pooled quality-control monitoring, metabolite profiling, multivariate statistical analysis, and pathway interpretation. Acute sparring was associated with changes in metabolites related to glycolysis and gluconeogenesis, whereas the 24-h timepoint was associated with sulfur metabolism.

Phosphatidylinositol PI(16:0/18:2(9Z,12Z)) showed strong discrimination of the immediate post-sparring state, and thiosulfate was associated with the 24-h recovery state. These findings support the use of this workflow for reproducible profiling of exercise-related metabolic changes in this cohort of seven elite male boxers. The protocol is intended for controlled small-cohort studies of acute exercise and short-term recovery and emphasizes reproducible sample handling, pooled quality-control monitoring, and interpretable downstream analysis.

Introduction

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Elite boxing, characterized by three rounds of 2 min of high-intensity sparring, relies on a combination of anaerobic and aerobic metabolism and triggers rapid shifts in energy substrates, oxidative stress mediators, and tissue repair-related metabolites. Traditional assessments (blood lactate and heart rate) only capture isolated physiological endpoints, failing to resolve the systemic, interconnected metabolic changes that span “pre-sparring baseline → post-sparring acute stress → 24-h recovery.”

Untargeted metabolomics, enabled by liquid chromatography-quadrupole time-of-flight tandem mass spectrometry, addresses ....

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Protocol

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Perform all procedures in accordance with approval from the Institutional Ethics Committee for Human Research of Capital University of Physical Education and Sports (approval no. 2025A005).

CAUTION: Treat all human blood specimens as potentially infectious. Wear gloves, a laboratory coat, and eye protection. Perform venous blood collection, serum handling, and waste disposal in accordance with institutional biosafety procedures. Decontaminate work surfaces after sample handling.

CAUTION: Methanol, acetonitrile, and formic acid are hazardous chemicals. Handle solvent preparation, extraction, and reconstitution ste....

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Results

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Quality Control (QC) Validation of LC-QTOF-MS/MS Data

To evaluate signal stability and reproducibility, repeated injections of the pooled QC sample were analyzed in both ion modes. Spearman correlation coefficients among pooled-QC injections exceeded 0.8 in both ion modes, which indicated stable instrument performance across the analytical sequence. PCA of all study samples and QC injections showed tight clustering of QC injections and no clear outliers, which supported accept.......

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Discussion

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This standardized workflow characterized metabolite changes associated with elite boxing sparring and short-term recovery in a small, controlled cohort. The pooled-QC injections, QC-based correlation analysis, PCA clustering, and multivariate analyses together supported acceptable analytical stability. The protocol's success depended primarily on four factors: maintaining sparring intensity within 80%–85% of maximum heart rate, processing blood samples within 1 h after collection, limiting each sample to no mor.......

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Disclosures

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All authors declare that they have no conflicts of interest relevant to the content of this study.

Acknowledgements

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This study was supported by Hefei Normal University (grant nos. KYSR2025032 and 2025rcjj07) and the Joint Project of Hubei Provincial Natural Science Foundation (grant no. JCZRLH202500697).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
ReagentsAcetonitrileMerckLC-MS grade, CAS 75-05-8
ReagentsMethanolMerckLC-MS grade, CAS 67-56-1
ReagentsFormic acidTCILC-MS grade, CAS 64-18-6
ConsumablesVACUETTE TUBE CAT Serum Clot ActivatorGreiner Bio-One8 mL serum clot activator tube
ConsumablesNalgene Cryogenic VialThermo Fisher Scientific1.5 mL, external thread
ConsumablesProtein LoBind TubeEppendorfCat. No. 0030108442, 1.5 mL
GlasswareScrew-top glass vial with insertAgilent2 mL vial with 200 μL glass insert; insert Cat. No. 5183-2090
ConsumablesMillex-GP FilterMerckCat. No. SLGP033RS, 0.22 μm membrane
InstrumentsCustom Boxing Ring 6x6 mMuay Thai Sport6 × 6 m training ring
ConsumablesPro Style 2 Boxing GlovesEverlast16 oz
InstrumentsPolar H10PolarChest-strap heart-rate sensor
Instrumentsquasarh/p/cosmosMotorized treadmill
InstrumentsCentrifuge 5425 REppendorfRefrigerated microcentrifuge
InstrumentsBransonic CPX2800Emerson / Branson40 kHz digital ultrasonic bath
InstrumentsSavant SpeedVac SPD1030Thermo Fisher ScientificIntegrated vacuum concentrator
InstrumentsVWR Mini Vortex MixerAvantor / VWRCat. No. 10153-688
InstrumentsTSX ULT FreezerThermo Fisher ScientificModel TSX50086A
InstrumentsACQUITY UPLC I-Class PLUSWatersUHPLC system
InstrumentsXevo G2-XS QTofWatersQTOF mass spectrometer
InstrumentsACQUITY UPLC HSS T3 ColumnWatersP/N 176001132, 1.8 μm, 2.1 × 100 mm
SoftwareMassLynxWatersVersion 4.2
SoftwareProgenesis QIWatersVersion 2.3
SoftwareRR Foundation for Statistical ComputingVersion 3.6.1
Softwareprcompbase RBase R function
SoftwareroplsBioconductorR package
SoftwarepheatmapCRANR package
SoftwarecorrplotCRANR package
Softwarekmeansbase RBase R function
SoftwareNbClustCRANR package
SoftwarevennCRANR package
SoftwareMetaboAnalystRCRAN / Xia LabVersion 1.0
SoftwarepROCCRANVersion 1.15.0
SoftwareclusterProfilerBioconductorBioconductor package
DatabasesHuman Metabolome Database (HMDB)HMDBOnline database
DatabasesKyoto Encyclopedia of Genes and Genomes (KEGG)KEGGOnline database
DatabasesLIPID MAPSLIPID MAPSOnline database

References

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  1. Graca, G., et al. Automated annotation of untargeted all-ion fragmentation LC-MS metabolomics data with MetaboAnnotatoR. Anal Chem. , (2022).
  2. Chen, L., et al. Metabolite discovery through global annotation of untargeted metabolomics data.

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Tags

Metabolomics ProtocolExercise MetabolismElite BoxersLiquid ChromatographyMass SpectrometrySerum MetabolomicsMetabolite ProfilingGlycolysis PathwaySulfur MetabolismMultivariate Analysis

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