Morphometric analysis of the anastomosing arteriolar network in cat sartorius muscle.
Topological and geometrical characteristics of the anastomotic arteriolar network in cat sartorius muscle were studied. The vessels were dilated and filled with gelatin-ink solution and the muscle cleared with methylsalicylate. The analysis was done on 11 muscles and included 2297 vascular segments and 772 vascular loops classified according to their position within the network. On average, each muscle had 644 transverse arterioles arising from the anastomotic vessels. The length of vascular segments close to feeding arteries was greater than those located in the central region, while the number of transverse arterioles per unit length of arcade vessel showed an opposite tendency. Most vessel orders had similar diameters, except for the segments at the periphery of the muscle, which were significantly larger. No correlation was found between vessel length and diameter. Vascular loops located in the central part of the network were smaller, as assessed by area, perimeter, number of segments, segment length and number of branches. The variability of the parameters between muscles was smaller than variability within each muscle. We concluded that, in addition to the parameters previously reported, quantitative descriptions of anastomotic networks may be enhanced by considering certain topological aspects of microvessels. The separation of segments and loops according to the position in the network may reveal differences between muscles of different sizes and functions which would not be detected if the vessels were considered as a single group.
Departamento de Ciências Fisiológicas, Instituto de Biologia, Universidade do Estado do Rio de Janeiro, Brazil.
I P
IP
Torres Filho
F Z
FZ
Cyrino
A S
AS
Popel
E
E
Bouskela
P C
PC
Johnson
D000818:Animals; D001160:Arterioles / Q000033:anatomy & histology / Q000502:physiology; D002415:Cats / Q000033:anatomy & histology*; D018482:Muscle, Skeletal / Q000098:blood supply*; D012039:Regional Blood Flow