Title |
Sinalização do líquido cefalorraqueano em doenças inflamatórias crônicas do sistema nervoso central
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Published in |
Arquivos de Neuro-Psiquiatria, June 2011
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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. |
Mendeley readers
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% |