Intermuscular relationship of human muscle fiber type proportions: Slow leg muscles predict slow neck muscles

Vikne, Harald; Gundersen, Kristian; Liestøl, Knut; Maelen, Jan; Vøllestad, Nina Køpke

doi:10.1002/mus.22315

Cited by 34 publications

(30 citation statements)

References 54 publications

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“…Whether possessing the right MFTC is due to the genetic aspect, rather than the effect of training has been subject of extensive investigation. Vikne et al (2012) suggested the existence of an across- muscle phenotype, supporting the importance of the heritability component. In our study, we could confirm a significant positive correlation between the carnosine Z-scores in the leg and the carnosine Z-scores of the arm muscles.…”

Section: Discussionmentioning

confidence: 88%

“…Vikne et al. () suggested the existence of an across‐muscle phenotype, supporting the importance of the heritability component. In our study, we could confirm a significant positive correlation between the carnosine Z ‐scores in the leg and the carnosine Z ‐scores of the arm muscles.…”

Section: Discussionmentioning

confidence: 93%

“…Within an individual, one specific muscle (e.g., soleus) can contain more ST fibers than another muscle (e.g., triceps brachii). However, when an individual, based on MFTC of one muscle, is identified as slow (= i.e., having more ST fibers than population average), being “slow” will then hold true for all other muscles of that individual (Vikne et al., ). This finding is one of the elements contributing to the idea that MFTC is genetically determined.…”

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confidence: 99%

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Cyclic movement frequency is associated with muscle typology in athletes

Bex

Baguet

Achten

et al. 2016

Scandinavian Med Sci Sports

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There is a continuing research interest in the muscle fiber type composition (MFTC) of athletes. Recently, muscle carnosine quantification by proton magnetic resonance spectroscopy ( H-MRS) was developed as a new non-invasive method to estimate MFTC. This cross-sectional study aims to better understand estimated MFTC in relation to (a) different disciplines within one sport; (b) cyclic sport exercise characteristics; (c) within-athlete variability; and (d) athlete level. A total of 111 elite athletes (74 runners, 7 triathletes, 11 swimmers, 14 cyclists and 5 kayakers) and 188 controls were recruited to measure muscle carnosine in gastrocnemius and deltoid muscle by H-MRS. Within sport disciplines, athletes were divided into subgroups (sprint-, intermediate-, and endurance-type). The controls were used as reference population to allow expression of the athletes' data as Z-scores. Within different sports, endurance-type athletes systematically showed the lowest Z-score compared to sprint-type athletes, with intermediate-type athletes always situated in between. Across the different sports disciplines, carnosine content showed the strongest significant correlation with cyclic movement frequency (R = 0.86, P = 0.001). Both within and between different cyclic sports, estimated MFTC was divergent between sprint- and endurance-type athletes. Cyclic movement frequency, rather than exercise duration came out as the most determining factor for the optimal estimated MFTC in elite athletes.

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Section: Discussionmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 93%

mentioning

confidence: 99%

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Cyclic movement frequency is associated with muscle typology in athletes

Bex

Baguet

Achten

et al. 2016

Scandinavian Med Sci Sports

View full text Add to dashboard Cite

show abstract

“…However, the result from an uncontrolled, cross-sectional study of participants with neck pain of various etiologies on the contrary indicates a possible, minor increase in the fast fiber type direction [47]. Also, the reported type 1 fiber proportion in the neck muscles from the participants with post-traumatic etiology in the study of Uhlig [47] is almost identical to that found in presumably healthy participants [48]. Thus, it seems that the most reasonable explanation for the altered kinematics in the WAD participants would be the muscle activation patterns.…”

Section: Discussionmentioning

confidence: 95%

Muscle activity and head kinematics in unconstrained movements in subjects with chronic neck pain; cervical motor dysfunction or low exertion motor output?

Vikne

Bakke

Liestøl

et al. 2013

BMC Musculoskelet Disord

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BackgroundChronic neck pain after whiplash associated disorders (WAD) may lead to reduced displacement and peak velocity of neck movements. Dynamic neck movements in people with chronic WAD are also reported to display altered movement patterns such as increased irregularity, which is suggested to signify impaired motor control. As movement irregularity is strongly related to the velocity and displacement of movement, we wanted to examine whether the increased irregularity in chronic WAD could be accounted for by these factors.MethodsHead movements were completed in four directions in the sagittal plane at three speeds; slow (S), preferred (P) and maximum (M) in 15 men and women with chronic WAD and 15 healthy, sex and age-matched control participants. Head kinematics and measures of movement smoothness and symmetry were calculated from position data. Surface electromyography (EMG) was recorded bilaterally from the sternocleidomastoid and splenius muscles and the root mean square (rms) EMG amplitude for the accelerative and decelerative phases of movement were analyzed.ResultsThe groups differed significantly with regard to movement velocity, acceleration, displacement, smoothness and rmsEMG amplitude in agonist and antagonist muscles for a series of comparisons across the test conditions (range 17 – 121%, all p-values < 0.05). The group differences in peak movement velocity and acceleration persisted after controlling for movement displacement. Controlling for differences between the groups in displacement and velocity abolished the difference in measures of movement smoothness and rmsEMG amplitude.ConclusionsSimple, unconstrained head movements in participants with chronic WAD are accomplished with reduced velocity and displacement, but with normal muscle activation levels and movement patterns for a given velocity and displacement. We suggest that while reductions in movement velocity and displacement are robust changes and may be of clinical importance in chronic WAD, movement smoothness of unconstrained head movements is not.

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“…It is well known that fiber proportions vary between different muscles in humans (and other species;Johnson, Polgar, Weightman, & Appleton, 1973). A recent article by Vikne, Gundersen, Liestøl, Maehlen, and Vøllestad (2011) showed that those expressing a relatively large proportion of Type I fibers in one muscle also express a relatively large proportion of these fibers in other muscles. Although more evidence is needed, sampling just one muscle in all subjects may still be a valuable indicator of overall relative fiber proportion.…”

mentioning

confidence: 99%

Gene Polymorphisms and Fiber-Type Composition of Human Skeletal Muscle

Ahmetov¹,

Виноградова²,

Williams³

2012

International Journal of Sport Nutrition and Exercise Metabolism

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The ability to perform aerobic or anaerobic exercise varies widely among individuals, partially depending on their muscle-fiber composition. Variability in the proportion of skeletal-muscle fiber types may also explain marked differences in aspects of certain chronic disease states including obesity, insulin resistance, and hypertension. In untrained individuals, the proportion of slow-twitch (Type I) fibers in the vastus lateralis muscle is typically around 50% (range 5-90%), and it is unusual for them to undergo conversion to fast-twitch fibers. It has been suggested that the genetic component for the observed variability in the proportion of Type I fibers in human muscles is on the order of 40-50%, indicating that muscle fiber-type composition is determined by both genotype and environment. This article briefly reviews current progress in the understanding of genetic determinism of fiber-type proportion in human skeletal muscle. Several polymorphisms of genes involved in the calcineurin-NFAT pathway, mitochondrial biogenesis, glucose and lipid metabolism, cytoskeletal function, hypoxia and angiogenesis, and circulatory homeostasis have been associated with fiber-type composition. As muscle is a major contributor to metabolism and physical strength and can readily adapt, it is not surprising that many of these gene variants have been associated with physical performance and athlete status, as well as metabolic and cardiovascular diseases. Genetic variants associated with fiber-type proportions have important implications for our understanding of muscle function in both health and disease.

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Intermuscular relationship of human muscle fiber type proportions: Slow leg muscles predict slow neck muscles

Abstract: We suggest the existence of an across-muscle phenotype with respect to fiber type proportions; some individuals display generally faster muscles and some individuals slower muscles when compared with others.

Cited by 34 publications

References 54 publications

Cyclic movement frequency is associated with muscle typology in athletes

Cyclic movement frequency is associated with muscle typology in athletes

Muscle activity and head kinematics in unconstrained movements in subjects with chronic neck pain; cervical motor dysfunction or low exertion motor output?

Gene Polymorphisms and Fiber-Type Composition of Human Skeletal Muscle

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