Linked Life Data

1758569

Source:http://linkedlifedata.com/resource/pubmed/id/1758569

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1992-2-3
pubmed:abstractText
This report concerns the immunohistochemical demonstration of beta amyloid protein-containing neurofibrillary tangles (beta-NFTs) from patients with parkinsonism-dementia complex on Guam (PDC). Formalin-fixed paraffin-embedded tissue sections from the temporal lobe of nine PDC cases and the spinal cord of three were examined. An affinity-purified antibody to the N-terminal peptide sequence of beta amyloid protein was used. beta-NFTs were demonstrated in the temporal lobes of the three oldest individuals. Some senile plaques, probably a manifestation of ageing, were also seen. The beta-NFTs were most frequent in the entorhinal cortex. Senile plaques were invariably present in the vicinity of the beta-NFTs. Conversely, in the regions without senile plaques, even though numerous neurofibrillary tangles were identifiable with the modified Bielschowsky method, no beta-NFTs were seen. The density of beta-NFTs appeared to be proportional to that of senile plaques, none was seen in cases lacking senile plaques. No beta-NFTs were detected in the spinal cords. Our data suggest that beta-NFTs result from secondary beta amyloid deposition on certain neurofibrillary tangles.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0305-1846
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
365-73
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Demonstration of beta amyloid protein-containing neurofibrillary tangles in parkinsonism-dementia complex on Guam.
pubmed:affiliation
Department of Pathology, Montefiore Medical Centre, Bronx, New York 10467.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't