Literature DB >> 20085754

RBC velocities in single capillaries of mouse and rat brains are the same, despite 10-fold difference in body size.

Miyuki Unekawa1, Minoru Tomita, Yutaka Tomita, Haruki Toriumi, Koichi Miyaki, Norihiro Suzuki.   

Abstract

Employing high-speed camera laser-scanning confocal microscopy with RBC-tracking software, we previously showed that RBC velocities in intraparenchymal capillaries of rat cerebral cortex are distributed over a wide range. In the present work, we measured RBC velocities in mice, whose body weights are less than one-tenth of that of rats. In an isoflurane-anesthetized mouse, a cranial window was opened in the left temporo-parietal region. Intravenously administered FITC-labeled RBCs were automatically recognized and tracked frame-by-frame at 500fps, and the velocities of all RBCs recognized were calculated with our Matlab-domain software, KEIO-IS2. Among 15241 RBCs detected in the ROI in 21 mice, 1655 were identified as flowing in capillaries. The velocities of these RBCs ranged from 0.15 to 8.6mm/s, with a mean of 2.03+/-1.42mm/s. A frequency distribution plot showed that RBC velocities were clustered at around 1.0mm/s, tailing up to 8.6mm/s, and 59% of the RBCs in capillaries showed velocities within the range of 0.5 to 2.0mm/s. Unexpectedly, these characteristics of RBC velocities in mice were very similar to those of rats, despite differences in RBC diameter (6.0 vs. 6.5microm), body size (25 vs. 327g), heart rate (461 vs. 319bpm) and arterial blood pressure (86 vs. 84mmHg). We speculate that physical factors relating to oxygen exchange may constrain general RBC velocity in capillaries to a certain range for optimum oxygen exchange, regardless of species. Copyright 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20085754     DOI: 10.1016/j.brainres.2010.01.032

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  29 in total

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2.  Effect of electrical forepaw stimulation on capillary transit-time heterogeneity (CTH).

Authors:  Eugenio Gutiérrez-Jiménez; Changsi Cai; Irene Klærke Mikkelsen; Peter Mondrup Rasmussen; Hugo Angleys; Mads Merrild; Kim Mouridsen; Sune Nørhøj Jespersen; Jonghwan Lee; Nina Kerting Iversen; Sava Sakadzic; Leif Østergaard
Journal:  J Cereb Blood Flow Metab       Date:  2016-02-08       Impact factor: 6.200

3.  The capillary bed offers the largest hemodynamic resistance to the cortical blood supply.

Authors:  Ian Gopal Gould; Philbert Tsai; David Kleinfeld; Andreas Linninger
Journal:  J Cereb Blood Flow Metab       Date:  2016-10-10       Impact factor: 6.200

4.  Chronic imaging of cortical blood flow using Multi-Exposure Speckle Imaging.

Authors:  Syed Mohammad Shams Kazmi; Ashwin B Parthasarthy; Nelly E Song; Theresa A Jones; Andrew K Dunn
Journal:  J Cereb Blood Flow Metab       Date:  2013-04-10       Impact factor: 6.200

5.  Influence of feeding hematocrit and perfusion pressure on hematocrit reduction (Fåhraeus effect) in an artificial microvascular network.

Authors:  Walter H Reinhart; Nathaniel Z Piety; Sergey S Shevkoplyas
Journal:  Microcirculation       Date:  2017-11       Impact factor: 2.628

6.  Characterizing relationship between optical microangiography signals and capillary flow using microfluidic channels.

Authors:  Woo June Choi; Wan Qin; Chieh-Li Chen; Jingang Wang; Qinqin Zhang; Xiaoqi Yang; Bruce Z Gao; Ruikang K Wang
Journal:  Biomed Opt Express       Date:  2016-06-20       Impact factor: 3.732

7.  The Effect of Microcirculatory Flow on Oscillating Gradient Diffusion MRI and Diffusion Encoding with Dual-Frequency Orthogonal Gradients (DEFOG).

Authors:  Dan Wu; Jiangyang Zhang
Journal:  Magn Reson Med       Date:  2016-04-15       Impact factor: 4.668

8.  The relative influence of hematocrit and red blood cell velocity on oxygen transport from capillaries to tissue.

Authors:  Adrien Lücker; Timothy W Secomb; Bruno Weber; Patrick Jenny
Journal:  Microcirculation       Date:  2017-04       Impact factor: 2.628

Review 9.  Ultrasound Technologies for Imaging and Modulating Neural Activity.

Authors:  Claire Rabut; Sangjin Yoo; Robert C Hurt; Zhiyang Jin; Hongyi Li; Hongsun Guo; Bill Ling; Mikhail G Shapiro
Journal:  Neuron       Date:  2020-10-14       Impact factor: 17.173

10.  Quantitative measurement of cerebral blood volume using velocity-selective pulse trains.

Authors:  Dexiang Liu; Feng Xu; Doris D Lin; Peter C M van Zijl; Qin Qin
Journal:  Magn Reson Med       Date:  2016-10-31       Impact factor: 4.668

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