Endothelial damage, vascular bagging and remodeling of the microvascular bed in human microangiopathy with deep white matter lesions View Full Text


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Article Info

DATE

2018-11-23

AUTHORS

Karin M. E. Forsberg, Yingshuang Zhang, Johanna Reiners, Martina Ander, Alexandra Niedermayer, Lubin Fang, Hermann Neugebauer, Jan Kassubek, Istvan Katona, Joachim Weis, Albert C. Ludolph, Kelly Del Tredici, Heiko Braak, Deniz Yilmazer-Hanke

ABSTRACT

White matter lesions (WMLs) are a common manifestation of small vessel disease (SVD) in the elderly population. They are associated with an enhanced risk of developing gait abnormalities, poor executive function, dementia, and stroke with high mortality. Hypoperfusion and the resulting endothelial damage are thought to contribute to the development of WMLs. The focus of the present study was the analysis of the microvascular bed in SVD patients with deep WMLs (DWMLs) by using double- and triple-label immunohistochemistry and immunofluorescence. Simultaneous visualization of collagen IV (COLL4)-positive membranes and the endothelial glycocalyx in thick sections allowed us to identify endothelial recession in different types of string vessels, and two new forms of small vessel/capillary pathology, which we called vascular bagging and ghost string vessels. Vascular bags were pouches and tubes that were attached to vessel walls and were formed by multiple layers of COLL4-positive membranes. Vascular bagging was most severe in the DWMLs of cases with pure SVD (no additional vascular brain injury, VBI). Quantification of vascular bagging, string vessels, and the density/size of CD68-positive cells further showed widespread pathological changes in the frontoparietal and/or temporal white matter in SVD, including pure SVD and SVD with VBI, as well as a significant effect of the covariate age. Plasma protein leakage into vascular bags and the white matter parenchyma pointed to endothelial damage and basement membrane permeability. Hypertrophic IBA1-positive microglial cells and CD68-positive macrophages were found in white matter areas covered with networks of ghost vessels in SVD, suggesting phagocytosis of remnants of string vessels. However, the overall vessel density was not altered in our SVD cohort, which might result from continuous replacement of vessels. Our findings support the view that SVD is a progressive and generalized disease process, in which endothelial damage and vascular bagging drive remodeling of the microvasculature. More... »

PAGES

128

References to SciGraph publications

  • 2006-02-02. Age-related microvascular degeneration in the human cerebral periventricular white matter in ACTA NEUROPATHOLOGICA
  • 1992-07. Binswanger's disease in the absence of chronic arterial hypertension in ACTA NEUROPATHOLOGICA
  • 2014. A Mouse Model of Chronic Cerebral Hypoperfusion Characterizing Features of Vascular Cognitive Impairment in CEREBRAL ANGIOGENESIS
  • 1991-09. Neuropathological stageing of Alzheimer-related changes in ACTA NEUROPATHOLOGICA
  • 2014-03-26. Capillary pericytes regulate cerebral blood flow in health and disease in NATURE
  • 2004-09-24. Aging is associated with increased collagen type IV accumulation in the basal lamina of human cerebral microvessels in BMC NEUROSCIENCE
  • 2015-08-19. Immune phenotypes of microglia in human neurodegenerative disease: challenges to detecting microglial polarization in human brains in ALZHEIMER'S RESEARCH & THERAPY
  • 1995-12. Ultrastructural features of the blood-brain barrier in biopsy tissue from Alzheimer's disease patients in ACTA NEUROPATHOLOGICA
  • 2008-07-19. Fibrinoid necrosis of small brain arteries and arterioles and miliary aneurysms as causes of hypertensive hemorrhage: a critical reappraisal in ACTA NEUROPATHOLOGICA
  • 2000-10. Capillary changes in hippocampal CA1 and CA3 areas of the aging rhesus monkey in ACTA NEUROPATHOLOGICA
  • 1997-12. Blood-brain barrier dysfunction in Binswanger’s disease; an immunohistochemical study in ACTA NEUROPATHOLOGICA
  • 2006-07-06. Blood–brain Barrier: Structural Components and Function Under Physiologic and Pathologic Conditions in JOURNAL OF NEUROIMMUNE PHARMACOLOGY
  • 2012-11-01. Brain atrophy associations with white matter lesions in the ageing brain: the Lothian Birth Cohort 1936 in EUROPEAN RADIOLOGY
  • 2015. Romeis - Mikroskopische Technik in NONE
  • 2016-08-26. Post-mortem assessment in vascular dementia: advances and aspirations in BMC MEDICINE
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1186/s40478-018-0632-z

    DOI

    http://dx.doi.org/10.1186/s40478-018-0632-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110157126

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30470258


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