Plasma MMP-9, TIMP-1, and TGF-β1 Responses to Exercise-Induced Muscle Injury

Kim, Joo-Young; Lee, Joohyung

doi:10.3390/ijerph17020566

Cited by 7 publications

(6 citation statements)

References 38 publications

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“…Strength loss after stretching is measured by isometric force at single muscle length or single joint angle [ 29 ]. The MIS measurement method of this study referred to the previous studies [ 23 , 26 , 30 ]. The MIS of elbow flexor muscles was measured by using a strain gauge (Jackson Strength Evaluation System Model.…”

Section: Methodsmentioning

confidence: 99%

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Myostatin A55T Genotype is Associated with Strength Recovery Following Exercise-Induced Muscle Damage

Kim

Park

Lee

2020

IJERPH

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Myostatin A55T genotype is one of the candidates showing inter-individual variation in skeletal muscle phenotypes. The aim of this study was to investigate the effect of the myostatin A55T genotype on markers of muscle damage after eccentric exercise. Forty-eight young, healthy male college students (age = 24.8 ± 2.2 years, height = 176.7 ± 5.3 cm, weight = 73.7 ± 8.3 kg) were enrolled in this study, and muscle damage was induced through 50 reps of maximal eccentric muscle contraction. As markers of muscle damage, maximal isometric strength (MIS), muscle soreness, creatine kinase (CK), and aspartate transaminase (AST) were measured. Myostatin A55T genotypes were classified into homozygous myostatin A55T allele (AA, n = 34, 72%), heterozygous myostatin A55T allele (AT, n = 13, 26%), and homozygous mutant carriers (TT, n = 1, 2%). After eccentric exercise, the subjects with heterozygous for AT showed markedly quicker MIS recovery compared to the AA group (p = 0.042). However, there were no significant variations in muscle soreness (p = 0.379), CK (p = 0.955), and AST (p = 0.706) among the groups. These results suggest that AT in myostatin A55T genotype may be associated with quicker strength recovery following exercise-induced muscle damage.

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Section: Methodsmentioning

confidence: 99%

“…The VAS has a constant line of 100 mm, the left first position (0 mm) indicates painless state and the right end (100 mm) indicates severe pain. The VAS was distributed to the subjects, and they vertically marked the degree of pain felt at each measurement period [ 30 ].…”

Section: Methodsmentioning

confidence: 99%

Myostatin A55T Genotype is Associated with Strength Recovery Following Exercise-Induced Muscle Damage

Kim

Park

Lee

2020

IJERPH

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“…Another proposal for determining health in athletes is to analyze IL-10 and TGF-β as biomarkers of recovery and adaptation to training [ 65 , 118 ]. However, for now, this is only a suggestion that has not been more widely studied and standardized.…”

Section: Cytokines As Biomarkers In Sport and Exercisementioning

confidence: 99%

Cytokines as Biomarkers for Evaluating Physical Exercise in Trained and Non-Trained Individuals: A Narrative Review

Małkowska

Sawczuk

2023

IJMS

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Physical activity and exercise training have numerous health benefits, including the prevention and management of chronic diseases, improvement of cardiovascular health, and enhancement of mental well-being. However, the effectiveness of training programs can vary widely among individuals due to various factors, such as genetics, lifestyle, and environment. Thus, identifying reliable biomarkers to evaluate physical training effectiveness and personalize training programs is crucial. Cytokines are signaling molecules produced by immune cells that play a vital role in inflammation and tissue repair. In recent years, there has been increasing interest in the potential use of cytokines as biomarkers for evaluating training effectiveness. This review article aims to provide an overview of cytokines, their potential as biomarkers, methods for measuring cytokine levels, and factors that can affect cytokine levels. The article also discusses the potential benefits of using cytokines as biomarkers, such as monitoring muscle damage and inflammation, and the potential for personalized training programs based on cytokine responses. We believe that the use of cytokines as biomarkers holds great promise for optimizing training programs and improving overall health outcomes.

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“…Additionally, athletes have large inter-individual CK response dierences to the same exercise, further complicating the analysis of CK levels for recovery status [93]. Other biomarkers, which can be analysed for exercise recovery include transforming growth factor beta 1 (TGF-β1) [408], oxylipin [744], brain-derived neurotrophic factor (BNDF), oxygen reduction potential (ORP, redox potential) [647], cell-free DNA (cfDNA) [60], and neutrophil phenotypes [762].…”

Section: G Brain Imagingmentioning

confidence: 99%

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

Teikari¹,

Pietrusz²

2021

Preprint

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In strength training, personalised strength training (autoregulation) approaches have been used to individualise exercise programs with monitoring an for dynamic adjustment based on their responses to training. While this transition from tradition-based training to evidence-based training framework has been an improvement in training practices, we argue that the future of strength training will also incorporate deep learning models powered by data. We refer to this data-driven framework as precision strength training inspired by the similar modeling frameworks used in precision medicine. In contrast to current personalised training in which the acquired athlete data is often subject to human expert decision-making, we are anticipating the rise of human-in-the-loop systems with an augmented coach who will be doing decisions collaboratively with the machine. Similar to other precision frameworks, such as precision health, we envision such a future to take decades to be realised and we focus here on practical short-term targets on a way to long-term realisation. In this chapter, we will review the measurement technology needed for continuous data acquisition from an individual during training/physical activity, how to acquire these datasets for the development of such systems and, how a proof-of-concept system could be developed for powerlifting training with applicability to general strength and conditioning (S&C) and physical rehabilitation purposes. Additionally, we will evaluate how the user experience (UX) of the system feedback and visualisation could be designed.

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Plasma MMP-9, TIMP-1, and TGF-β1 Responses to Exercise-Induced Muscle Injury

Cited by 7 publications

References 38 publications

Myostatin A55T Genotype is Associated with Strength Recovery Following Exercise-Induced Muscle Damage

Myostatin A55T Genotype is Associated with Strength Recovery Following Exercise-Induced Muscle Damage

Cytokines as Biomarkers for Evaluating Physical Exercise in Trained and Non-Trained Individuals: A Narrative Review

Precision strength training: Data-driven artificial intelligence approach to strength and conditioning

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