scholarly journals Pathometric algorythm in multiple sclerosis differential diagnostics

2002 ◽  
Vol XXXIV (1-2) ◽  
pp. 11-15
Author(s):  
S. V. Makarov
Keyword(s):  
Multiple Sclerosis ◽  
Nervous System ◽  
Functional Activity ◽  
Laboratory Method ◽  
Differential Diagnostics ◽  
Cytotoxic Lymphocytes ◽  
Natural Killers ◽  
Nervous System Diseases ◽  
Neurologic Diseases ◽  
High Discrimination

A significance of some immunological indices has been studied, used for differential diagnostics of multiple sclerosis and similar nervous system diseases. They had been studied on the basis of pathometric algorythm. 89 patients aged from 17 to 52 were examined which had been diagnosed for multiple sclerosis. In groups of comparison there were 34 patients with encephalomyelo-polyradiculoneuritis and 52 patients with noninflammatory neurologic disiases. The revealed difference in aminoregulation processes in subpopulation of cytotoxic lymphocytes and natural killers predecessors evidences their smaller functional activity and smaller participation in immunological processis in encephalomyelo-polyradiculoneuritis compared to that in multiple sclerosis. High discrimination properties of immunologic indices, chosen by pathometric algorythm are based on marker expression changes in lymphocyte membranes when performing test systems with monoamines. It has been most vividly shown in comparison between multiple sclerosis group and noninflammatory neurologic diseases group. Diagnostic tables have been developed, necessary for practical use as an additional clinico-laboratory method in multiple sclerosis diagnostics and in autoimmune character revealing in encephalomyelo-polyradiculoneuritis.

BAFF serum and CSF levels in patients with multiple sclerosis and infectious nervous system diseases

2020 ◽  
pp. 1-6
Author(s):  
Tobias Braun ◽  
Martin Juenemann ◽  
Kathrin Dornes ◽  
Jasmin El-Shazly ◽  
Patrick Schramm ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Nervous System ◽  
Nervous System Diseases ◽  
Csf Levels

Plasminogen activation in multiple sclerosis and other central nervous system diseases

1998 ◽  
Vol 5 ◽  
pp. 138
Author(s):  
F.O.T. Akenami ◽  
M. Koskiniemi ◽  
V. Sirén ◽  
S. Mustjoki ◽  
M. Färkkilä ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Central Nervous System ◽  
Nervous System ◽  
Plasminogen Activation ◽  
Nervous System Diseases ◽  
Central Nervous System Diseases

Soluble CD30 levels in plasma and cerebrospinal fluid in multiple sclerosis, HIV infection and other nervous system diseases

1997 ◽  
Vol 95 (2) ◽  
pp. 99-102 ◽  
Author(s):  
V. Navikas ◽  
C. Martin ◽  
D. Matusevicius ◽  
M. Söderström ◽  
S. Fredrikson ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cerebrospinal Fluid ◽  
Nervous System ◽  
Hiv Infection ◽  
Nervous System Diseases ◽  
Soluble Cd30

scholarly journals Jean-Martin Charcot, father of modern neurology: an homage 120 years after his death

2013 ◽  
Vol 71 (10) ◽  
pp. 815-817 ◽  
Author(s):  
Marleide da Mota Gomes ◽  
Eliasz Engelhardt
Keyword(s):  
Multiple Sclerosis ◽  
Amyotrophic Lateral Sclerosis ◽  
Nervous System ◽  
Muscular Atrophy ◽  
Neurological Diseases ◽  
Nervous System Diseases ◽  
Peroneal Muscular Atrophy ◽  
The Rich ◽  
Jean Martin Charcot ◽  
Lateral Sclerosis

Jean-Martin Charcot was a pioneer in a variety of subjects, including nervous system diseases; anatomy; physiology; pathology; and diseases of ageing, joints, and lungs. His medical achievements were mainly based on his anatomopathological proficiency, his observation, and his personal thoroughness that favored the delineation of the nosology of the main neurological diseases, including multiple sclerosis, amyotrophic lateral sclerosis, Parkinson’s disease, peroneal muscular atrophy, and hysteria/epilepsy. The link of this anatomoclinical method with iconographic representations and theatrical lessons, and the rich bibliographical documentations, carried out in a crowded diseased people barn - Salpetrière hospital were the basis of his achievements, which are still discussed 120 years after his death.

Flow cytometric analysis of T cell/monocyte ratio in clinically isolated syndrome identifies patients at risk of rapid disease progression

2015 ◽  
Vol 22 (4) ◽  
pp. 483-493 ◽  
Author(s):  
Andrea Nemecek ◽  
Hilga Zimmermann ◽  
Johannes Rübenthaler ◽  
Vinzenz Fleischer ◽  
Magdalena Paterka ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Central Nervous System ◽  
Nervous System ◽  
Differential Diagnosis ◽  
Clinically Isolated Syndrome ◽  
Imaging Findings ◽  
Resonance Imaging ◽  
Neurologic Diseases ◽  
Csf Cells

Background: Multiple sclerosis is a chronic inflammatory central nervous system disease diagnosed by clinical presentation and characteristic magnetic resonance imaging findings. The role of cerebrospinal fluid (CSF) analysis has been emphasized in particular in the context of differential diagnosis in patients with a first episode suggestive of multiple sclerosis. Objective: We investigated here the potential additional value of analysis of CSF cellularity by fluorescence activated cell sorting (FACS) in the setting of a routine diagnostic work-up in our inpatient clinic. Methods: CSF cells from back-up samples from patients with suspected chronic inflammatory central nervous system disorder were analyzed by FACS and correlated with clinical data, magnetic resonance imaging findings and oligoclonal band status. Results: We found distinct changes of T cell/monocyte (CD4/CD14) and B cell/monocyte (CD20/CD14) ratios between clinically isolated syndrome (CIS)/multiple sclerosis and other neurologic diseases or other inflammatory neurologic diseases. In particular, patients with a rapid transition from CIS to multiple sclerosis had an elevated CD4/CD14 ratio. A subgroup analysis showed diagnostic value of CD4/CD8 ratio in the differential diagnosis of CIS/multiple sclerosis to neurosarcoidosis. Conclusion: The diagnostic and prognostic accuracy of autoimmune neuroinflammatory diseases can be improved by FACS analysis of CSF cells.

Sign in / Sign up

Export Citation Format

Share Document