Literature DB >> 16815595

Occurrence and co-localization of amyloid beta-protein and apolipoprotein E in perivascular drainage channels of wild-type and APP-transgenic mice.

Dietmar Rudolf Thal1, Sergey Larionov, Dorothee Abramowski, Karl-Heinz Wiederhold, Tom Van Dooren, Haruyasu Yamaguchi, Christian Haass, Fred Van Leuven, Matthias Staufenbiel, Estibaliz Capetillo-Zarate.   

Abstract

The deposition of the amyloid beta-protein (Abeta) is a hallmark of Alzheimer's disease (AD). One reason for Abeta-accumulation and deposition in the brain may be an altered drainage along perivascular channels. Extracellular fluid is drained from the brain towards the cervical lymph nodes via perivascular channels. The perivascular space around cerebral arteries is the morphological correlative of these drainage channels. Here, we show that Abeta is immunohistochemically detectable within the perivascular space of 25 months old wild-type and amyloid precursor protein (APP)-transgenic mice harboring the Swedish double mutation driven by a neuron specific promoter. Only small amounts of Abeta can be detected immunohistochemically in the perivascular space of wild-type mice. Cerebrovascular and parenchymal Abeta-deposits were absent. In APP-transgenic mice, large amounts of Abeta were found in the perivascular drainage channels accompanied with cerebrovascular and parenchymal Abeta-deposition. The apolipoprotein E (apoE) immunostaining within the perivascular channels did not vary between wild-type and APP-transgenic mice. Almost 100% of the area that represents the perivascular space was stained with an antibody directed against apoE. Here, Abeta co-localized with apoE indicating an involvement of apoE in the perivascular clearance of Abeta. Fibrillar congophilic amyloid was not seen in wild-type mice. In APP-transgenic animals, congophilic fibrillar amyloid material was seen in the wall of cerebral blood vessels but not in the perivascular space. In conclusion, our results suggest that non-fibrillar forms of Abeta are drained along perivascular channels and that apoE is presumably involved in this clearance mechanism. Overloading such a clearance mechanism in APP-transgenic mice appears to result in insufficient Abeta-clearance, increased Abeta-levels in the brain and the perivascular drainage channels, and finally in Abeta-deposition. In so doing, our results strengthen the hypothesis that an alteration of perivascular drainage supports Abeta-deposition and the development of AD.

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Year:  2006        PMID: 16815595     DOI: 10.1016/j.neurobiolaging.2006.05.029

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  24 in total

1.  Transgenic expression of intraneuronal Aβ42 but not Aβ40 leads to cellular Aβ lesions, degeneration, and functional impairment without typical Alzheimer's disease pathology.

Authors:  Dorothee Abramowski; Sabine Rabe; Ajeet Rijal Upadhaya; Julia Reichwald; Simone Danner; Dieter Staab; Estibaliz Capetillo-Zarate; Haruyasu Yamaguchi; Takaomi C Saido; Karl-Heinz Wiederhold; Dietmar Rudolf Thal; Matthias Staufenbiel
Journal:  J Neurosci       Date:  2012-01-25       Impact factor: 6.167

Review 2.  The Prion-Like Properties of Amyloid-β Assemblies: Implications for Alzheimer's Disease.

Authors:  Lary C Walker; Juliane Schelle; Mathias Jucker
Journal:  Cold Spring Harb Perspect Med       Date:  2016-07-01       Impact factor: 6.915

3.  Suppression of glymphatic fluid transport in a mouse model of Alzheimer's disease.

Authors:  Weiguo Peng; Thiyagarajan M Achariyar; Baoman Li; Yonghong Liao; Humberto Mestre; Emi Hitomi; Sean Regan; Tristan Kasper; Sisi Peng; Fengfei Ding; Helene Benveniste; Maiken Nedergaard; Rashid Deane
Journal:  Neurobiol Dis       Date:  2016-05-24       Impact factor: 5.996

Review 4.  Apolipoprotein E in Alzheimer's disease and other neurological disorders.

Authors:  Philip B Verghese; Joseph M Castellano; David M Holtzman
Journal:  Lancet Neurol       Date:  2011-03       Impact factor: 44.182

5.  Amyloid-β protein modulates the perivascular clearance of neuronal apolipoprotein E in mouse models of Alzheimer's disease.

Authors:  Harshvardhan Rolyan; Ann Caroline Feike; Ajeet Rijal Upadhaya; Andreas Waha; Tom Van Dooren; Christian Haass; Gerd Birkenmeier; Claus U Pietrzik; Fred Van Leuven; Dietmar Rudolf Thal
Journal:  J Neural Transm (Vienna)       Date:  2011-01-06       Impact factor: 3.575

Review 6.  The probabilistic model of Alzheimer disease: the amyloid hypothesis revised.

Authors:  Giovanni B Frisoni; Daniele Altomare; Dietmar Rudolf Thal; Federica Ribaldi; Rik van der Kant; Rik Ossenkoppele; Kaj Blennow; Jeffrey Cummings; Cornelia van Duijn; Peter M Nilsson; Pierre-Yves Dietrich; Philip Scheltens; Bruno Dubois
Journal:  Nat Rev Neurosci       Date:  2021-11-23       Impact factor: 34.870

Review 7.  Vascular pathology in the aged human brain.

Authors:  Lea Tenenholz Grinberg; Dietmar Rudolf Thal
Journal:  Acta Neuropathol       Date:  2010-02-14       Impact factor: 17.088

Review 8.  [Importance of Virchow-Robin spaces].

Authors:  W Reith; A Haußmann
Journal:  Radiologe       Date:  2018-02       Impact factor: 0.635

9.  Co-localization and distribution of cerebral APP and SP1 and its relationship to amyloidogenesis.

Authors:  Brian Brock; Riyaz Basha; Katie DiPalma; Amy Anderson; G Jean Harry; Deborah C Rice; Bryan Maloney; Debomoy K Lahiri; Nasser H Zawia
Journal:  J Alzheimers Dis       Date:  2008-02       Impact factor: 4.472

10.  APOE ɛ2 is associated with white matter hyperintensity volume in CADASIL.

Authors:  Benno Gesierich; Christian Opherk; Jonathan Rosand; Mariya Gonik; Rainer Malik; Eric Jouvent; Dominique Hervé; Poneh Adib-Samii; Steve Bevan; Luigi Pianese; Serena Silvestri; Maria T Dotti; Nicola De Stefano; Jeroen van der Grond; Elles M J Boon; Francesca Pescini; Natalia Rost; Leonardo Pantoni; Saskia A Lesnik Oberstein; Antonio Federico; Michele Ragno; Hugh S Markus; Elisabeth Tournier-Lasserve; Hugues Chabriat; Martin Dichgans; Marco Duering; Michael Ewers
Journal:  J Cereb Blood Flow Metab       Date:  2016-01       Impact factor: 6.200

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