Document Detail


Immunological patterns identifying disease course and evolution in multiple sclerosis patients.
MedLine Citation:
PMID:  15949850     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Reliable, and easy to measure, immunological markers able to denote disease characteristics in multiple sclerosis (MS) patients are still lacking. We applied a multivariate statistical analysis on results obtained by measuring-by real-time RT-PCR-mRNA levels of 25 immunological relevant molecules in PBMCs from 198 MS patients. The combined measurement of mRNA levels of IL-1beta, TNF-alpha, TGF-beta, CCL20 and CCR3 was able to distinguish MS patients from healthy individuals. CXCR5, CCL5, and CCR3 combined mRNA levels identify primary progressive MS patients while TNF-alpha, IL-10, CXCL10 and CCR3 differentiate relapsing MS patients. Our results indicate that multi-parametric analysis of mRNA levels of immunological relevant molecules in PBMCs may represent a successful strategy for the identification of putative peripheral markers of disease state and disease activity in MS patients.
Authors:
Roberto Furlan; Marco Rovaris; Filippo Martinelli Boneschi; Mohsen Khademi; Alessandra Bergami; Maira Gironi; Michela Deleidi; Federica Agosta; Diego Franciotta; Elio Scarpini; Antonio Uccelli; Mauro Zaffaroni; Asli Kurne; Giancarlo Comi; Tomas Olsson; Massimo Filippi; Gianvito Martino
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of neuroimmunology     Volume:  165     ISSN:  0165-5728     ISO Abbreviation:  J. Neuroimmunol.     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-07-11     Completed Date:  2005-09-08     Revised Date:  2008-05-06    
Medline Journal Info:
Nlm Unique ID:  8109498     Medline TA:  J Neuroimmunol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  192-200     Citation Subset:  IM    
Affiliation:
Neuroimmunology Unit, San Raffaele, Scientific Institute, Via Olgettina 58, 20132 Milan, Italy. furlan.roberto@hsr.it
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adult
Biological Markers
Chemokine CCL20
Chemokine CCL5
Chemokines, CC / genetics,  metabolism
Disease Progression
Female
Humans
Interleukin-1 / biosynthesis
Linear Models
Macrophage Inflammatory Proteins / genetics,  metabolism
Magnetic Resonance Imaging / statistics & numerical data
Male
Middle Aged
Models, Immunological
Multiple Sclerosis / diagnosis*,  immunology*
Multiple Sclerosis, Chronic Progressive / diagnosis,  immunology
Multivariate Analysis
RNA, Messenger / metabolism
Receptors, CCR3
Receptors, CXCR5
Receptors, Chemokine / genetics,  metabolism
Receptors, Cytokine / genetics,  metabolism
Transforming Growth Factor beta / genetics,  metabolism
Tumor Necrosis Factor-alpha / genetics,  metabolism
Chemical
Reg. No./Substance:
0/Biological Markers; 0/CCL20 protein, human; 0/CCL5 protein, human; 0/CCR3 protein, human; 0/CXCR5 protein, human; 0/Chemokine CCL20; 0/Chemokine CCL5; 0/Chemokines, CC; 0/Interleukin-1; 0/Macrophage Inflammatory Proteins; 0/RNA, Messenger; 0/Receptors, CCR3; 0/Receptors, CXCR5; 0/Receptors, Chemokine; 0/Receptors, Cytokine; 0/Transforming Growth Factor beta; 0/Tumor Necrosis Factor-alpha

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Anti-glial nuclear antibody: marker of lung cancer-related paraneoplastic neurological syndromes.
Next Document:  Middle ear total pressure measurement as a useful parameter for outcome prediction in pediatric otit...