Literature DB >> 3260906

Human antibodies to neurofibrillary tangles and astrocytes in Alzheimer's disease.

B S Kingsley1, F Gaskin, S M Fu.   

Abstract

Multiple B cell lines established by Epstein-Barr viral transformation from six patients with Alzheimer's disease (AD) and six age-matched controls were screened immunocytochemically for their reactivities with AD and normal brains as well as to cell lines such as HeLa, fibroblasts and neuroblastoma. A higher incidence of reactivity with neurofibrillary tangles in situ was found among the cell lines from AD patients (23/866) in comparison with those from normals (6/803). Three cell lines from a patient with a definitive neuropathological diagnosis of AD were shown to secrete antibodies preferentially reactive with astrocytes in the grey matter of AD brain and one cell line from a normal elderly individual was shown to specifically react with neurofibrillary tangles and plaque neurites. These four antibodies were not reactive with normal brains or cell lines. These unique human antibodies may be useful in the diagnosis of AD and offer clues to its pathogenesis.

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Year:  1988        PMID: 3260906     DOI: 10.1016/0165-5728(88)90038-0

Source DB:  PubMed          Journal:  J Neuroimmunol        ISSN: 0165-5728            Impact factor:   3.478


  3 in total

1.  The Fox and the Rabbits-Environmental Variables and Population Genetics (1) Replication Problems in Association Studies and the Untapped Power of GWAS (2) Vitamin A Deficiency, Herpes Simplex Reactivation and Other Causes of Alzheimer's Disease.

Authors:  C J Carter
Journal:  ISRN Neurol       Date:  2011-07-12

2.  Human antibodies reactive with beta-amyloid protein in Alzheimer's disease.

Authors:  F Gaskin; J Finley; Q Fang; S Xu; S M Fu
Journal:  J Exp Med       Date:  1993-04-01       Impact factor: 14.307

Review 3.  The Complexity of Microglial Interactions With Innate and Adaptive Immune Cells in Alzheimer's Disease.

Authors:  Season K Wyatt-Johnson; Randy R Brutkiewicz
Journal:  Front Aging Neurosci       Date:  2020-11-19       Impact factor: 5.750

  3 in total

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