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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