scholarly journals FGF9 and SHH regulate mesenchymal Vegfa expression and development of the pulmonary capillary network

Development ◽  
2007 ◽  
Vol 134 (20) ◽  
pp. 3743-3752 ◽  
Author(s):  
A. C. White ◽  
K. J. Lavine ◽  
D. M. Ornitz
Keyword(s):  
Capillary Network ◽  
Pulmonary Capillary

Simulation model for flow of neutrophils in pulmonary capillary network

2005 ◽  
Vol 13 (4) ◽  
pp. 301-311 ◽  
Author(s):  
Atsushi Shirai ◽  
Ryo Fujita ◽  
Toshiyuki Hayase
Keyword(s):  
Simulation Model ◽  
Capillary Network ◽  
Pulmonary Capillary

Computer determination of perfusion patterns in pulmonary capillary networks

1997 ◽  
Vol 82 (4) ◽  
pp. 1283-1289 ◽  
Author(s):  
Christopher C. Hanger ◽  
Robert G. Presson ◽  
Osamu Okada ◽  
Steven J. Janke ◽  
John J. Watkins ◽  
...  
Keyword(s):  
Computer Program ◽  
Capillary Network ◽  
Alveolar Wall ◽  
Capillary Perfusion ◽  
Capillary Networks ◽  
Pulmonary Capillary ◽  
Computer Determination ◽  
Upstream Pressure

Hanger, Christopher C., Robert G. Presson, Jr., Osamu Okada, Steven J. Janke, John J. Watkins, Wiltz W. Wagner, Jr., and Ronald L. Capen. Computer determination of perfusion patterns in pulmonary capillary networks. J. Appl. Physiol.82(4): 1283–1289, 1997.—Individual pulmonary capillaries are not steadily perfused. By using in vivo microscopy, it can readily be demonstrated that perfusion continually switches between capillary segments and between portions of the network within a single alveolar wall. These changes in capillary perfusion occur even when upstream pressure and flow are constant. Flow switching between capillary segments in the absence of hemodynamic changes in large upstream vessels suggests that capillary perfusion patterns could be random. To calculate the probability that perfusion patterns could occur by chance, it is necessary to know the total number of possible perfusion patterns in a given capillary network. We developed a computer program that can determine every possible perfusion pattern for any given capillary network, and from that information we can calculate whether perfusion of individual segments in the network is random. With the results of the computer program, we have obtained statistical evidence that some capillary segments in a network are nonrandomly perfused.

Effect of Neutrophils Retention Time in Capillaries on Increase in Their Concentration in a Lattice Capillary Network Model

2007 ◽  
Author(s):  
Atsushi Shirai ◽  
Toshiyuki Hayase
Keyword(s):  
Immune System ◽  
Network Model ◽  
Host Defense ◽  
Retention Time ◽  
Systemic Circulation ◽  
Capillary Network ◽  
Know How ◽  
Pulmonary Capillary ◽  
And Behavior ◽  
Normal Lungs

Neutrophils are known as the most popular cells in leukocytes, and play important roles in immune system. They are retained in pulmonary capillary network even in normal lungs, causing higher concentration than in systemic circulation due to their low deformability [1]. The lungs can be a route for pathogenic substances to invade the host, since thickness of septa which separates blood and outer air is extremely thin. However, the highly concentrated neutrophils are thought to be effectively recruited to the sites of inflammation for the host defense. Therefore, it is essential to know how neutrophils flow in pulmonary capillary microvasculature for the understanding of their functions and behavior in immune system.

Modeling RBC and Neutrophil Distribution Through an Anatomically Based Pulmonary Capillary Network

2004 ◽  
Vol 32 (4) ◽  
pp. 585-595 ◽  
Author(s):  
Kelly S. Burrowes ◽  
Merryn H. Tawhai ◽  
Peter J. Hunter
Keyword(s):  
Capillary Network ◽  
Pulmonary Capillary

Mechanisms of Growth of a Pulmonary Capillary Network in Adult Lung

2013 ◽  
Vol 38 (1) ◽  
pp. 34-44
Author(s):  
Rosemary C. Jones ◽  
Diane E. Capen
Keyword(s):  
Capillary Network ◽  
Adult Lung ◽  
Pulmonary Capillary

Correlation of Data Obtained by Radiocardiography and Right-Heart Catheterization in Cardiac Patients

1968 ◽  
Vol 07 (02) ◽  
pp. 125-129
Author(s):  
J. Měštan ◽  
V. Aschenbrenner ◽  
A. Michaljanič
Keyword(s):  
Capillary Pressure ◽  
Transit Time ◽  
Right Heart Catheterization ◽  
Heart Catheterization ◽  
Right Heart ◽  
Pulmonary Capillary ◽  
Filling Time ◽  
Pulmonary Capillary Pressure ◽  
The Mean ◽  
Pulmonary Transit Time

SummaryIn patients with acquired and congenital valvular heart disease correlations of the parameters of the radiocardiographic curve (filling time of the right heart, minimal pulmonary transit time, peak-to-peak pulmonary transit time, and the so-called filling time of the left heart) with the mean pulmonary artery pressure and the mean pulmonary “capillary” pressure were studied. Further, a regression equation was determined by means of which the mean pulmonary “capillary” pressure can be predicted.

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