Cell-Free DNA as an Earlier Predictor of Exercise-Induced Performance Decrement Related to Muscle Damage

Andreatta, Michely Vieira; Curty, Victor Magalhães; Coutinho, João Victor S; Santos, Miguel Ângelo Alves dos; Vassallo, Paula Frizera; Sousa, Nuno Manuel Frade de; Baraúna, Valério Garrone

doi:10.1123/ijspp.2017-0421

Cited by 28 publications

(30 citation statements)

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“…Another interesting data observed in our study was the response of cfDNA, we and other have already demonstrated that it may be new marker of EIMD or a predictor of exercise performance 24 h after the exercise session ( Atamaniuk et al, 2010 ; Andreatta et al, 2018 ). The second mechanism is reinforced by our data since cfDNA did not increased significantly immediately after exercise in the RE40+BFR group while exercise performance was already recovered 24 h after exercise.…”

Section: Discussionsupporting

confidence: 54%

Effects of Blood Flow Restriction on Leukocyte Profile and Muscle Damage

et al. 2020

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Muscle damage affects the blood leukocyte profile. Resistance exercise (RE) with blood flow restriction (BFR) attenuates exercise-induced muscle damage (EIMD). Purpose To evaluate muscle damage and the leukocyte profile in response to RE+BFR and to compare with high intensity RE. Methods Twenty volunteers performed the RE in the leg press apparatus in the following groups: RE80, 80% of 1RM (3 × until concentric muscle failure); RE40+BFR, 40% of 1RM with BFR (same total work of RE80 group). The BFR applied was 80% of the total occlusion pressure. Results There were no differences in the blood leukocyte profile among groups despite the lower exercise-induced muscle damage (EIMD) in the RE40+BFR group (RE80: 10.07 ± 2.67 vs. RE40+BFR: 8.25 ± 0.96; cell × 10 3 /mm 3 ). Both groups showed leukocytosis (RE80: 7.59 ± 1.48 vs. 10.07 ± 2.67 and RE40+BFR: 6.57 ± 1.50 vs. 8.25 ± 0.96; cell × 10 3 /mm 3 ) and lymphocytosis (RE80: 2.48 ± 0.83 vs. 3.65 ± 1.31 and RE40+BFR: 2.22 ± 0.23 vs. 3.03 ± 0.65; cell × 10 3 /mm 3 ) immediately after exercise. Leukocytosis (ES 1.12 vs. ES 1.33) and lymphocytosis (ES 1.11 vs. ES 1.76) was greater in the RE40+BFR group. Conclusion RE associated with BFR was accompanied by a greater leukocytosis and lymphocytosis immediately after exercise, with no difference in neutrophils. This leukocyte blood profile may be related to less muscle damage, as well as faster muscle recovery after 24 and 48 h post-exercise.

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Section: Discussionsupporting

confidence: 54%

Effects of Blood Flow Restriction on Leukocyte Profile and Muscle Damage

et al. 2020

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“…The magnitude of cfDNA concentration increases also appears proportional to both exercise intensity and duration [119,120], and the time course of these changes is remarkably transient, with cfDNA concentrations often returning to baseline within 24 h, even after highly exhaustive exercise [115]. As a result, cfDNA represents a potentially novel biomarker for fatigue and recovery in exercise [113,119,120]. In subjects who undertook a 12-week resistance training intervention, cfDNA was strongly correlated with mean training load within each 3-week training sub-block [118].…”

Section: Section Summarymentioning

confidence: 95%

“…While the mechanism underpinning the increased release of cfDNA during exercise is poorly understood, it appears that cfDNA is primarily released from cells involved in immune function [119]. The magnitude of cfDNA concentration increases also appears proportional to both exercise intensity and duration [119,120], and the time course of these changes is remarkably transient, with cfDNA concentrations often returning to baseline within 24 h, even after highly exhaustive exercise [115]. As a result, cfDNA represents a potentially novel biomarker for fatigue and recovery in exercise [113,119,120].…”

Section: Section Summarymentioning

confidence: 99%

“…The collection of samples for measurement of cfDNA is relatively straightforward, requiring a small amount of blood to be collected from a capillary [119], which can easily be achieved through a finger prick. As such, the use of cfDNA as a biomarker of exercise load, recovery and overtraining is highly promising, especially given the evidence suggesting that it is more sensitive than traditional biomarkers of training load [122]; as a result, its use could represent an enhancement of current practice.…”

Section: Section Summarymentioning

confidence: 99%

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The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

Pickering

Kiely

2019

JFMK

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Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for, and practical use of, a number of these emerging technologies, including the measurement and quantification of epigenetic changes, microbiome analysis and the use of cell-free DNA, along with data mining and machine learning. In doing so, we develop a theoretical model for the use of these technologies in an elite sport setting, allowing the coach to better answer six key questions: (1) To what training will my athlete best respond? (2) How well is my athlete adapting to training? (3) When should I change the training stimulus (i.e., has the athlete reached their adaptive ceiling for this training modality)? (4) How long will it take for a certain adaptation to occur? (5) How well is my athlete tolerating the current training load? (6) What load can my athlete handle today? Special consideration is given to whether such an individualised training framework will outperform current methods as well as the challenges in implementing this approach.

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“…This type of training has been used over the years occupying high volume load protocols (muscular endurance) 45,46 , high-intensity exercises (maximum strength) 47,48 , or muscular hypertrophy programmes 12,13 . In this sense, it has been reported that high volume muscle endurance training performed at a low-intensity of 1RM increases DOMS levels in healthy sedentary subjects (p < 0.05), regardless of whether it is performed with short intervals (1 minute) or long intervals (3 minutes) of rest between series 36 .…”

Section: Conventional Strength and Muscle Fatigue Trainingmentioning

confidence: 99%

Effects of different methods of strength training on indicators of muscle fatigue during and after strength training: a systematic review

Barahona-Fuentes

Ojeda

Jerez‐Mayorga

2020

Motriz: rev. educ. fis.

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Introduction: The development of strength has shown to be beneficial to sports performance and health. However, during strength training, they also produce alterations in muscle fatigue indicators, leading to a decrease in the ability to generate strength. Despite this, there is still not enough knowledge about the levels of muscle fatigue generated by different methods of strength training and how this information can be integrated into sports planning. Review and analyze the studies existing between January 2009 and January 2019 that have used indicators of muscle fatigue established in the search terms during and after strength training as measurement variables. Evidence acquisition: The study corresponds to a systematic review of previously published studies, following the PRISMA model. Articles published between 2009 and 2019 that measured muscle fatigue indicators during and after strength training were evaluated. The electronic search was conducted through Web of Science, Scopus, Sport Discus, PubMed, and Medline. We included all articles that used a strength protocol and also measured indicators of muscle fatigue and its possible effect on physical performance. Evidence synthesis: A total of 39 articles were found, which were stratified according to the protocol used: (i) plyometric training, (ii) Bodypump® training, (iii) occlusion training, (iv) variable resistance training, (v) conventional strength training, (vi) eccentric strength training, (vii) rest times in strength training and (viii) concurrent training. Conclusion: At the end of the systematic review, it was shown that the different training methodologies for strength development generate increases in muscle fatigue indicators, and the increase generated in the different muscle fatigue indicators depends both on the methodology used and on the type of population, sex, level of training and type of sport. The most-reported indicators are [La], HR and RPE, DOM, MR variation, and ammonium.

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Cell-Free DNA as an Earlier Predictor of Exercise-Induced Performance Decrement Related to Muscle Damage

Abstract: cfDNA increases in response to RE intensity even when not performed until exhaustion. cfDNA measured immediately after RE is a promising biomarker for muscle-performance decrement up to 48 h after a RE bout.

Cited by 28 publications

References 12 publications

Effects of Blood Flow Restriction on Leukocyte Profile and Muscle Damage

Effects of Blood Flow Restriction on Leukocyte Profile and Muscle Damage

The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance

Effects of different methods of strength training on indicators of muscle fatigue during and after strength training: a systematic review

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