C‐terminal agrin fragment is inversely related to neuromuscular fatigue in older men

Stout, Jeffrey R.; Fragala, Maren S.; Hoffman, Jay R.; Robinson, Edward H.; Mccormack, William Patrick; Townsend, Jeremy R.; Jatjner, Adam R.; Emerson, Nadia S.; Oliveira, Leonardo P.; Fukuda, David H.

doi:10.1002/mus.24443

Cited by 22 publications

(19 citation statements)

References 7 publications

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“…Supporting this hypothesis, some studies have shown, that CAF circulating levels are much higher in sarcopenic than in non-sarcopenic subjects (Hettwer et al, 2010;Marzetti et al, 2014a). Interestingly, recent observations highlighted an inverse correlation between circulating levels of CAF and neuromuscular fatigue obtained by the measure of vastus lateralis muscle physical work capacity threshold (Stout et al, 2015) and, in elderly patients, a link between CAF circulating levels and the loss of appendicular lean mass (Drey et al, 2013).…”

Section: Neuromuscular Junctionsmentioning

confidence: 92%

Biomarkers in sarcopenia: A multifactorial approach

Curcio

Ferro

Basile

et al. 2016

Experimental Gerontology

166

147

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Section: Neuromuscular Junctionsmentioning

confidence: 92%

Biomarkers in sarcopenia: A multifactorial approach

Curcio

Ferro

Basile

et al. 2016

Experimental Gerontology

166

147

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“…Recently, a new practical and reliable method to determine the EMG fatigue threshold has been introduced [ 60 ]. The physical working capacity at fatigue threshold (PWCFT) is defined as average of the highest power output that results in a non-significant slope coefficient for the EMG amplitude vs. time relationship and the lowest power output that results in a significant positive slope coefficient [ 61 ]. Short term exercise increases the fatigue threshold [ 62 ].…”

Section: Resultsmentioning

confidence: 99%

“…Its activity is regulated by neurotrypsin, which cleaves it into the C-terminal agrin fragment (CAF). If there is excessive neurotrypsin activity degeneration of the neuromuscular junction and thus decreased power output ensues [ 61 ]. In a study of 22 healthy older subjects the CAF was determined from blood [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

“…If there is excessive neurotrypsin activity degeneration of the neuromuscular junction and thus decreased power output ensues [ 61 ]. In a study of 22 healthy older subjects the CAF was determined from blood [ 61 ]. Additionally, EMG-signals were recorded at PWCFT during a 2 min discontinuous incremental cycle ergometer exercise [ 85 , 86 ].…”

Section: Resultsmentioning

confidence: 99%

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Wet, volatile, and dry biomarkers of exercise-induced muscle fatigue

Finsterer

Drory²

2016

BMC Musculoskelet Disord

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BackgroundThe physiological background of exercise-induced muscle fatigue(EIMUF) is only poorly understood. Thus, monitoring of EIMUF by a single or multiple biomarkers(BMs) is under debate.After a systematic literature review 91 papers were included.ResultsEIMUF is mainly due to depletion of substrates, increased oxidative stress, muscle membrane depolarisation following potassium depletion, muscle hyperthermia, muscle damage, impaired oxygen supply to the muscle, activation of an inflammatory response, or impaired calcium-handling. Dehydration, hyperammonemia, mitochondrial biogenesis, and genetic responses are also discussed. Since EIMUF is dependent on age, sex, degree of fatigue, type, intensity, and duration of exercise, energy supply during exercise, climate, training status (physical fitness), and health status, BMs currently available for monitoring EIMUF have limited reliability. Generally, wet, volatile, and dry BMs are differentiated. Among dry BMs of EIMUF the most promising include power output measures, electrophysiological measures, cardiologic measures, and questionnaires. Among wet BMs of EIMUF those most applicable include markers of ATP-metabolism, of oxidative stress, muscle damage, and inflammation. VO2-kinetics are used as a volatile BM.ConclusionsThough the physiology of EIMUF remains to be fully elucidated, some promising BMs have been recently introduced, which together with other BMs, could be useful in monitoring EIMUF. The combination of biomarkers seems to be more efficient than a single biomarker to monitor EIMUF. However, it is essential that efficacy, reliability, and applicability of each BM candidate is validated in appropriate studies.

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“…Although these findings (Beaver, et al, 1986;Camic, et al, 2014;Gaesser & Poole, 1996;Poole, et al, 1988Poole, et al, , 1990Ribeiro, et al, 1986) provide a physiological basis for the PWC FT model as a fatigue threshold to identify sustainable exercise intensities during treadmill running, this test has yet to be validated through constant-velocity runs to exhaustion below, at, and above the estimated PWC FT . If valid, potential uses for the PWC FT treadmill test include both the athletic performance and rehabilitative applications as during cycle ergometry (Camic, et al, 2010b;deVries, et al, 1989;Emerson, et al, 2014;Jenkins, et al, 2014;Stout, et al, 2007aStout, et al, , 2007bStout, et al, , 2015Zak, et al, 2015) that includes assessing physical fitness, evaluating the effectiveness of conditioning programs and nutritional supplements, prescribing exercise training intensities, and examining factors related to neuromuscular function in the elderly. Based on these practical applications and popularity of running, an examination into the validity of the PWC FT treadmill test is warranted.…”

Section: Introductionmentioning

confidence: 99%

Validation of the physical working capacity at the fatigue threshold treadmill test

Camic

Hahn

Hendrickson

et al. 2017

Kinesiology (Zagreb, Online)

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The purposes of the present study were twofold: 1) to determine the physical working capacity at the fatigue threshold (PWC FT ) during an incremental treadmill test, and 2) to examine the validity of this fatigue threshold through constant-velocity runs to exhaustion at 90, 100, and 110% of the estimated PWC FT . Twelve aerobically-trained males (mean age±SD=24.6±5.4 years, running volume=69.9±46.0 km·wk -1 , n=9) and females (22.3±2.3 years, 45.6±4.6 km·wk -1 , n=3) volunteered to perform a treadmill test to exhaustion with electromyographic (EMG) signals recorded from the m. vastus lateralis on four separate visits. The first visit required each subject to complete an incremental treadmill test to exhaustion for determination of their PWC FT . During the second, third, and fourth visit, the subjects completed a treadmill run to exhaustion at a constant velocity that corresponded to 90, 100, or 110% of their PWC FT in random order. The linear regression analyses indicated there were no significant (p>.05) changes in muscle activation (i.e. EMG amplitude) across time to exhaustion during the constant velocity runs at 90% (60.00±0.00 min) and 100% (48.86±14.59 min) PWC FT , but significant (p<.05) increases occurred at 110% PWC FT (19.44±10.26 min). Thus, the findings of the present study indicated that the PWC FT treadmill test was able to accurately estimate the fastest running velocity that could be maintained for an extended period of time without evidence of neuromuscular fatigue.

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C‐terminal agrin fragment is inversely related to neuromuscular fatigue in older men

Abstract: These data suggest that serum CAF concentrations were significantly related to the onset of neuromuscular fatigue independent of age and BMI in men only.

Cited by 22 publications

References 7 publications

Biomarkers in sarcopenia: A multifactorial approach

Biomarkers in sarcopenia: A multifactorial approach

Wet, volatile, and dry biomarkers of exercise-induced muscle fatigue

Validation of the physical working capacity at the fatigue threshold treadmill test

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