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RESEARCH PRODUCT

Blood-Borne Markers of Fatigue in Competitive Athletes – Results from Simulated Training Camps

Sascha SchwindlingAlexander FerrautiTim MeyerMichael KellmannMichael KellmannDaniel HammesAnne HeckstedenMark PfeifferSabrina Skorski

subject

MaleTeam sportPhysiologylcsh:MedicinePathology and Laboratory MedicineMaterial FatigueInterval training0302 clinical medicineMaterials PhysicsMedicine and Health SciencesHuman PerformanceUreaMedicineEccentricPublic and Occupational Healthlcsh:ScienceFatigueMultidisciplinarybiologyOrganic CompoundsPhysicsClassical MechanicsHematologyVenous bloodSports ScienceBody FluidsChemistryBloodPhysical SciencesStrength TrainingFemaleAnatomyStatistics (Mathematics)Research ArticleSportsmedicine.medical_specialtyStrength trainingMaterials Science03 medical and health sciencesSigns and SymptomsAnimal scienceConfidence IntervalsHumansSports and Exercise MedicineExerciseDamage MechanicsBehaviorbusiness.industryAthletesOrganic Chemistrylcsh:RChemical CompoundsBiology and Life Sciences030229 sport sciencesbiology.organism_classificationConfidence intervalPhysical FitnessAthletesbiology.proteinPhysical therapyRecreationlcsh:QCreatine kinasebusinessMathematicsBiomarkers030217 neurology & neurosurgery

description

Assessing current fatigue of athletes to fine-tune training prescriptions is a critical task in competitive sports. Blood-borne surrogate markers are widely used despite the scarcity of validation trials with representative subjects and interventions. Moreover, differences between training modes and disciplines (e.g. due to differences in eccentric force production or calorie turnover) have rarely been studied within a consistent design. Therefore, we investigated blood-borne fatigue markers during and after discipline-specific simulated training camps. A comprehensive panel of blood-born indicators was measured in 73 competitive athletes (28 cyclists, 22 team sports, 23 strength) at 3 time-points: after a run-in resting phase (d 1), after a 6-day induction of fatigue (d 8) and following a subsequent 2-day recovery period (d 11). Venous blood samples were collected between 8 and 10 a.m. Courses of blood-borne indicators are considered as fatigue dependent if a significant deviation from baseline is present at day 8 (Δfatigue) which significantly regresses towards baseline until day 11 (Δrecovery). With cycling, a fatigue dependent course was observed for creatine kinase (CK; Δfatigue 54±84 U/l; Δrecovery -60±83 U/l), urea (Δfatigue 11±9 mg/dl; Δrecovery -10±10 mg/dl), free testosterone (Δfatigue -1.3±2.1 pg/ml; Δrecovery 0.8±1.5 pg/ml) and insulin linke growth factor 1 (IGF-1; Δfatigue -56±28 ng/ml; Δrecovery 53±29 ng/ml). For urea and IGF-1 95% confidence intervals for days 1 and 11 did not overlap with day 8. With strength and high-intensity interval training, respectively, fatigue-dependent courses and separated 95% confidence intervals were present for CK (strength: Δfatigue 582±649 U/l; Δrecovery -618±419 U/l; HIIT: Δfatigue 863±952 U/l; Δrecovery -741±842 U/l) only. These results indicate that, within a comprehensive panel of blood-borne markers, changes in fatigue are most accurately reflected by urea and IGF-1 for cycling and by CK for strength training and team sport players.

https://doi.org/10.1371/journal.pone.0148810