23 research outputs found
Identification of Gene Networks and Pathways Associated with Guillain-Barré Syndrome
BACKGROUND: The underlying change of gene network expression of Guillain-Barré syndrome (GBS) remains elusive. We sought to identify GBS-associated gene networks and signaling pathways by analyzing the transcriptional profile of leukocytes in the patients with GBS. METHODS AND FINDINGS: Quantitative global gene expression microarray analysis of peripheral blood leukocytes was performed on 7 patients with GBS and 7 healthy controls. Gene expression profiles were compared between patients and controls after standardization. The set of genes that significantly correlated with GBS was further analyzed by Ingenuity Pathways Analyses. 256 genes and 18 gene networks were significantly associated with GBS (fold change ≥2, P<0.05). FOS, PTGS2, HMGB2 and MMP9 are the top four of 246 significantly up-regulated genes. The most significant disease and altered biological function genes associated with GBS were those involved in inflammatory response, infectious disease, and respiratory disease. Cell death, cellular development and cellular movement were the top significant molecular and cellular functions involved in GBS. Hematological system development and function, immune cell trafficking and organismal survival were the most significant GBS-associated function in physiological development and system category. Several hub genes, such as MMP9, PTGS2 and CREB1 were identified in the associated gene networks. Canonical pathway analysis showed that GnRH, corticotrophin-releasing hormone and ERK/MAPK signaling were the most significant pathways in the up-regulated gene set in GBS. CONCLUSIONS: This study reveals the gene networks and canonical pathways associated with GBS. These data provide not only networks between the genes for understanding the pathogenic properties of GBS but also map significant pathways for the future development of novel therapeutic strategies
Treatment of peripheral neuropathies by using high doses of intravenous immunoglobulin
A glycopeptide detecting autoantibodies in multiple sclerosis: from a diagnostic kit toward a selective therapeutic strategy
The talk describes a glycopeptide detecting autoantibodies in multiple sclerosis: from a diagnostic kit toward a selective therapeutic strateg
"CSF114(Glc): The glycopeptide detecting autoantibodies in multiple sclerosi. PepKit, the first diagnostic test to follow-up the disease activity"
Plasminogen in cerebrospinal fluid originates from circulating blood.
Abstract
Background: Plasminogen activation is a ubiquitous source of fibrinolytic and proteolytic activity. Besides its role in
prevention of thrombosis, plasminogen is involved in inflammatory reactions in the central nervous system.
Plasminogen has been detected in the cerebrospinal fluid (CSF) of patients with inflammatory diseases; however, its
origin remains controversial, as the blood–CSF barrier may restrict its diffusion from blood.
Methods: We investigated the origin of plasminogen in CSF using Alexa Fluor 488–labelled rat plasminogen
injected into rats with systemic inflammation and blood–CSF barrier dysfunction provoked by lipopolysaccharide
(LPS). Near-infrared fluorescence imaging and immunohistochemistry fluorescence microscopy were used to identify
plasminogen in brain structures, its concentration and functionality were determined by Western blotting and a
chromogenic substrate assay, respectively. In parallel, plasminogen was investigated in CSF from patients with
Guillain-Barré syndrome (n = 15), multiple sclerosis (n = 19) and noninflammatory neurological diseases (n = 8).
Results: Endogenous rat plasminogen was detected in higher amounts in the CSF and urine of LPS-treated animals
as compared to controls. In LPS-primed rats, circulating Alexa Fluor 488–labelled rat plasminogen was abundantly
localized in the choroid plexus, CSF and urine. Plasminogen in human CSF was higher in Guillain-Barré syndrome
(median = 1.28 ng/μl (interquartile range (IQR) = 0.66 to 1.59)) as compared to multiple sclerosis (median = 0.3 ng/μl
(IQR = 0.16 to 0.61)) and to noninflammatory neurological diseases (median = 0.27 ng/μl (IQR = 0.18 to 0.35)).
Conclusions: Our findings demonstrate that plasminogen is transported from circulating blood into the CSF of rats
via the choroid plexus during inflammation. Our data suggest that a similar mechanism may explain the high CSF
concentrations of plasminogen detected in patients with inflammation-derived CSF barrier impairment
