Literature DB >> 7356032

Capillary recruitment in exercise: rate, extent, uniformity, and relation to blood flow.

C R Honig, C L Odoroff, J L Frierson.   

Abstract

Erythrocyte-containing capillaries were counted in dog gracilis muscles freeze-clamped at rest and after twitch contraction at 4/s. In each of 21 muscles, 6--8 blocks were examined at -70 degrees C without fixation or staining; 15 fields were counted per block. Frequency analysis of capillaries per field based on the negative binomial distribution indicated that capillary density at rest was controlled by arterioles. Active vasomotion of these arterioles was "switched off" within 5 s after onset of exercise. Capillary density was then determined passively by stochastic rheologic factors acting at the individual capillaries. Thus exercise changes the site and the mechanism of capillary control. Recruitment occurred first where capillary density was lowest, and was complete in 15 s; this greatly decreased the heterogeneity of capillary spacing. Mean capillary density increased 1.5- to 3-fold, whereas flow increased almost 7-fold. Calculated mean velocity and mean transit time of erythrocytes in capillaries were 1.1 mm/s and 920 ms at rest and 4.2 mm/s and 215 ms after 3 min of exercise.

Entities:  

Mesh:

Year:  1980        PMID: 7356032     DOI: 10.1152/ajpheart.1980.238.1.H31

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  38 in total

1.  Estimating transit time for capillary blood in selected muscles of exercising animals.

Authors:  S R Kayar; H Hoppeler; R B Armstrong; M H Laughlin; S L Lindstedt; J H Jones; K R Conley; C R Taylor
Journal:  Pflugers Arch       Date:  1992-09       Impact factor: 3.657

Review 2.  Dynamics of muscle microcirculatory and blood-myocyte O(2) flux during contractions.

Authors:  D C Poole; S W Copp; D M Hirai; T I Musch
Journal:  Acta Physiol (Oxf)       Date:  2011-03-01       Impact factor: 6.311

Review 3.  Muscle microvasculature's structural and functional specializations facilitate muscle metabolism.

Authors:  Yvo H A M Kusters; Eugene J Barrett
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-12-29       Impact factor: 4.310

4.  Measurement of skeletal muscle perfusion during postischemic reactive hyperemia using contrast-enhanced MRI with a step-input function.

Authors:  Richard B Thompson; Ronnier J Aviles; Anthony Z Faranesh; Venkatesh K Raman; Victor Wright; Robert S Balaban; Elliot R McVeigh; Robert J Lederman
Journal:  Magn Reson Med       Date:  2005-08       Impact factor: 4.668

5.  Linking pulmonary oxygen uptake, muscle oxygen utilization and cellular metabolism during exercise.

Authors:  Nicola Lai; Marco Camesasca; Gerald M Saidel; Ranjan K Dash; Marco E Cabrera
Journal:  Ann Biomed Eng       Date:  2007-03-23       Impact factor: 3.934

Review 6.  Myocardial perfusion imaging with contrast echocardiography.

Authors:  Chad L Carr; Jonathan R Lindner
Journal:  Curr Cardiol Rep       Date:  2008-05       Impact factor: 2.931

7.  An integrated exercise response and muscle fatigue model for performance decrement estimates of workloads in oxygen-limiting environments.

Authors:  Laurel J Ng; Bryant L Sih; James H Stuhmiller
Journal:  Eur J Appl Physiol       Date:  2011-07-19       Impact factor: 3.078

8.  CrossTalk proposal: De novo capillary recruitment in healthy muscle is necessary.

Authors:  Eugene J Barrett; Michelle A Keske; Stephen Rattigan; Etto C Eringa
Journal:  J Physiol       Date:  2014-12-01       Impact factor: 5.182

9.  Oxygen uptake kinetics during moderate, heavy and severe intensity "submaximal" exercise in humans: the influence of muscle fibre type and capillarisation.

Authors:  Jamie S M Pringle; Jonathan H Doust; Helen Carter; Keith Tolfrey; Iain T Campbell; Giorkos K Sakkas; Andrew M Jones
Journal:  Eur J Appl Physiol       Date:  2003-03-14       Impact factor: 3.078

10.  Muscle contraction, but not insulin, increases microvascular blood volume in the presence of free fatty acid-induced insulin resistance.

Authors:  April C Inyard; Daniel G Chong; Alexander L Klibanov; Eugene J Barrett
Journal:  Diabetes       Date:  2009-08-12       Impact factor: 9.461

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