Literature DB >> 12442354

Statistical analysis of fiber area in human skeletal muscle.

Michael R M McGuigan1, William J Kraemer, Michael R Deschenes, Scott E Gordon, Takashi Kitaura, Timothy P Scheett, Matthew J Sharman, Robert S Staron.   

Abstract

Previous research has indicated that 50 fiber measurements per individual for type I and II fibers would be sufficient to characterize the fiber areas. This study replicated the work of McCall et al. (1998) using the three major fiber types (I, IIA, and IIB) and sampling larger populations of fibers. Random blocks of fibers were also examined to investigate how well they correlated with the overall mean average fiber area. Using random blocks of 50 fibers provided an accurate reflection of the type IIB fibers (r = 0.96-0.98) but not for the type I (r = 0.85-0.94) or IIA fibers (r = 0.80-0.91). Type I fibers were consistently reflected by a random block of 150 fibers (r = 0.95-0.98) while type IIA fibers required random blocks of 200 fibers (r = 0.94-0.98), which appeared to provide an accurate reflection of the cross-sectional area. These results indicate that for a needle biopsy different numbers of fibers are needed depending on the fiber type to accurately characterize the mean fiber population.

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Year:  2002        PMID: 12442354     DOI: 10.1139/h02-022

Source DB:  PubMed          Journal:  Can J Appl Physiol        ISSN: 1066-7814


  6 in total

1.  Spastic tail muscles recover from myofiber atrophy and myosin heavy chain transformations in chronic spinal rats.

Authors:  R Luke W Harris; Charles T Putman; Michelle Rank; Leo Sanelli; David J Bennett
Journal:  J Neurophysiol       Date:  2006-11-22       Impact factor: 2.714

2.  Morphological, physiological and behavioural evaluation of a 'Mice in Space' housing system.

Authors:  Dieter Blottner; Najet Serradj; Michele Salanova; Chadi Touma; Rupert Palme; Mitchell Silva; Jean Marie Aerts; Daniel Berckmans; Laurence Vico; Yi Liu; Alessandra Giuliani; Franco Rustichelli; Ranieri Cancedda; Marc Jamon
Journal:  J Comp Physiol B       Date:  2009-01-08       Impact factor: 2.200

3.  Neither load nor systemic hormones determine resistance training-mediated hypertrophy or strength gains in resistance-trained young men.

Authors:  Robert W Morton; Sara Y Oikawa; Christopher G Wavell; Nicole Mazara; Chris McGlory; Joe Quadrilatero; Brittany L Baechler; Steven K Baker; Stuart M Phillips
Journal:  J Appl Physiol (1985)       Date:  2016-05-12

4.  Equivalent Hypertrophy and Strength Gains in β-Hydroxy-β-Methylbutyrate- or Leucine-supplemented Men.

Authors:  Josephine S Jakubowski; Edwin P T Wong; Everson A Nunes; Kenneth S Noguchi; Joshua K Vandeweerd; Kevin T Murphy; Robert W Morton; Chris McGlory; Stuart M Phillips
Journal:  Med Sci Sports Exerc       Date:  2019-01       Impact factor: 5.411

5.  Microbiopsy Sampling for Examining Age-Related Differences in Skeletal Muscle Fiber Morphology and Composition.

Authors:  Garrett M Hester; Trisha A VanDusseldorp; Phuong L Ha; Kaveh Kiani; Alex A Olmos; Melody Jabbari; Shania Kalladanthyil; SooBin An; Alyssa R Bailly; Benjamin E Dalton; Anton L Bryantsev
Journal:  Front Physiol       Date:  2022-01-10       Impact factor: 4.566

6.  Sustained effect of resistance training on blood pressure and hand grip strength following a detraining period in elderly hypertensive women: a pilot study.

Authors:  Dahan da Cunha Nascimento; Ramires Alsamir Tibana; Franklin M Benik; Keila Elizabeth Fontana; Frederico Ribeiro Neto; Frederico Santos de Santana; Leopoldo Santos-Neto; Renato André Sousa Silva; Alessandro Oliveira Silva; Darlan Lopes Farias; Sandor Balsamo; Jonato Prestes
Journal:  Clin Interv Aging       Date:  2014-01-20       Impact factor: 4.458

  6 in total

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