Literature DB >> 22032694

Association of peak aerobic power with capillary density but not oxidative potential in human vastus lateralis muscle.

Howard J Green1, Margaret Burnett, Helen Kollias, Jing Ouyang, Ian Smith, Susan Tupling.   

Abstract

In this study, we have postulated that in healthy males, peak aerobic power ([Formula: see text]) would associate with muscle capillary density rather than oxidative potential, regardless of fibre type or subtype. To test this, active but untrained volunteers (n = 11) were separated into high (HI) and low (LO) groups based on [Formula: see text] obtained during a progressive cycle task to fatigue. The 26% higher (P < 0.05) [Formula: see text] observed in HI (40.8 ± 1.5 mL·kg(-1)·min(-1), mean ± SE) compared with LO ( 51.4 ± 0.90 mL·kg(-1)·min(-1), mean ± SE) was not accompanied by differences in age (21.3 ± 1.2 compared with 21.1 ± 0.63 years, respectively) or body mass (72.4 ± 4.6 compared with 71.6 ± 1.9 kg, respectively). Tissue samples obtained from the vastus lateralis indicated greater (P < 0.05) capillary counts per fibre (CC; +24%) in HI compared with LO, regardless of fibre type (I, IIA, IIX, IIAX). Capillary density (CD) as measured in a field of defined area was also elevated (+22%; P < 0.05), as was the number of capillaries per fibre (+22%; P < 0.05). No differences were observed between the 2 groups in the distribution, area, and the CC/fibre area ratio in the different fibre types and subtypes. Similarly, there was no difference between the HI and LO groups in oxidative potential, as measured by succinic dehydrogenase activity in the different fibre types. It is concluded that the higher capillary density may contribute to improved vascular conductance and the elevated [Formula: see text] observed in the untrained participants.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22032694     DOI: 10.1139/y11-079

Source DB:  PubMed          Journal:  Can J Physiol Pharmacol        ISSN: 0008-4212            Impact factor:   2.273


  1 in total

Review 1.  Automated image analysis programs for the quantification of microvascular network characteristics.

Authors:  Kristen T Morin; Paul D Carlson; Robert T Tranquillo
Journal:  Methods       Date:  2015-04-02       Impact factor: 3.608

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.