Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F18%3A10366387" target="_blank" >RIV/00216208:11130/18:10366387 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11140/18:10366387 RIV/49777513:23520/18:43949682
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0891061817302119" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0891061817302119</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jchemneu.2017.11.005" target="_blank" >10.1016/j.jchemneu.2017.11.005</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum
Popis výsledku v původním jazyce
To provide basic data on the local differences in density of microvessels between various parts of the human brain, including representative grey and white matter structures of the cerebral hemispheres, the brain stem and the cerebellum, we quantified the numerical density NV and the length density LV of microvessels in two human brains. We aimed to correlate the density of microvessels with previously published data on their preferential orientation (anisotropy). Microvessels were identified using immunohistochemistry for laminin in 32 samples harvested from ten brain regions of two adult individuals. NV was calculated from the number of vascular branching points and their valence, which were assessed using the optical disector in 20-μm-thick sections. LV was estimated using counting frames applied to routine sections with randomized cutting planes. After correction for shrinkage, NV in the cerebral cortex was 1311+-326mm-3 (mean+-SD) and LV was 255+-119mm-2. Similarly, in subcortical grey matter (which included the basal ganglia and thalamus), NV was 1350+-445mm-3 and LV was 328+-117mm-2. The vascular networks of cortical and subcortical grey matter were comparable. Their densities were greater than in the white matter, with NV=222+-147mm-3 and LV=160+-96mm-2. NV was moderately correlated with LV. In parts of brain with greater NV, blood vessels lacked a preferential orientation. Our data were in agreement with other studies on microvessel density focused on specific brain regions, but showed a greater variability, thus mapping the basic differences among various parts of brain. To facilitate the planning of other studies on brain vascularity and to support the development of computational models of human brain circulation based on real microvascular morphology; stereological data in form of continuous variables are made available as supplements.
Název v anglickém jazyce
Numerical and length densities of microvessels in the human brain: Correlation with preferential orientation of microvessels in the cerebral cortex, subcortical grey matter and white matter, pons and cerebellum
Popis výsledku anglicky
To provide basic data on the local differences in density of microvessels between various parts of the human brain, including representative grey and white matter structures of the cerebral hemispheres, the brain stem and the cerebellum, we quantified the numerical density NV and the length density LV of microvessels in two human brains. We aimed to correlate the density of microvessels with previously published data on their preferential orientation (anisotropy). Microvessels were identified using immunohistochemistry for laminin in 32 samples harvested from ten brain regions of two adult individuals. NV was calculated from the number of vascular branching points and their valence, which were assessed using the optical disector in 20-μm-thick sections. LV was estimated using counting frames applied to routine sections with randomized cutting planes. After correction for shrinkage, NV in the cerebral cortex was 1311+-326mm-3 (mean+-SD) and LV was 255+-119mm-2. Similarly, in subcortical grey matter (which included the basal ganglia and thalamus), NV was 1350+-445mm-3 and LV was 328+-117mm-2. The vascular networks of cortical and subcortical grey matter were comparable. Their densities were greater than in the white matter, with NV=222+-147mm-3 and LV=160+-96mm-2. NV was moderately correlated with LV. In parts of brain with greater NV, blood vessels lacked a preferential orientation. Our data were in agreement with other studies on microvessel density focused on specific brain regions, but showed a greater variability, thus mapping the basic differences among various parts of brain. To facilitate the planning of other studies on brain vascularity and to support the development of computational models of human brain circulation based on real microvascular morphology; stereological data in form of continuous variables are made available as supplements.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30106 - Anatomy and morphology (plant science to be 1.6)
Návaznosti výsledku
Projekt
<a href="/cs/project/LO1506" target="_blank" >LO1506: Podpora udržitelnosti centra NTIS - Nové technologie pro informační společnost</a><br>
Návaznosti
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Chemical Neuroanatomy
ISSN
0891-0618
e-ISSN
—
Svazek periodika
88
Číslo periodika v rámci svazku
March
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
11
Strana od-do
22-32
Kód UT WoS článku
000427664300003
EID výsledku v databázi Scopus
2-s2.0-85032939932