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Sinalização do líquido cefalorraqueano em doenças inflamatórias crônicas do sistema nervoso central

Overview of attention for article published in Arquivos de Neuro-Psiquiatria, June 2011
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Title
Sinalização do líquido cefalorraqueano em doenças inflamatórias crônicas do sistema nervoso central
Published in
Arquivos de Neuro-Psiquiatria, June 2011
DOI 10.1590/s0004-282x1986000400005
Pubmed ID
Authors

J A. Livramento, L. R. Machado, A. Spina -França

Abstract

Dynamics of cerebrospinal fluid (CSF) cyto-proteic dual obeys to different models when central nervous system (CNS) inflammatory diseases are considered. In order to evaluate these models data pertinent to multiple sclerosis (20 cases), neurosyphilis (20 cases), neurocysticercosis (20 cases), subacute sclerosing panencephalitis (20 cases), neuroschistosomiasis (18 cases) and neuro-cryptococcosis (20 cases) are compared in report to a control group: chronic vascular headache (50 cases). CSF data on cytology and proteins were considered. Cytology was evaluated as to the total cell count (cumm); the cytomorphological profile (%) and as to lymphocytes subpopulations (B, T, T-active, T-sensitized, and T-avid for T-total and for T-active). Proteins were evaluated as to the total content (mg/dl) and protein fractions (agar gel electrophoresis). Antibodies determinations were studied for comparative purposes and diagnosis. Results were analyzed according to the groups considered and comparatively. Analyses support conclusions on cells and proteins dual interaction. This interaction is expressed by phenomena that obey similar parameters. These parameters permit to consider two models of chronic inflammatory signalization: the continuous model and the repetitive model. Neurosyphilis and subacute sclerosing panencephalitis obey the chronic continuous inflammatory model. Neurocysticercosis and multiple sclerosis obey the repetitive model.

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Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 20%
Researcher 2 20%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Nursing and Health Professions 1 10%
Agricultural and Biological Sciences 1 10%
Social Sciences 1 10%
Medicine and Dentistry 1 10%
Neuroscience 1 10%
Other 1 10%
Unknown 4 40%