Project description:Acute inflammatory demyelinating polyneuropathy (AIDP) - one of the forms of Guillain-Barre syndrome (GBS) - is a rare and severe disorder of the peripheral nervous system that also has an unknown etiology. One of the hallmarks of AIDP pathogenesis is a significantly elevated cerebrospinal fluid (CSF) protein level in comparison with the peptidome/proteome profile of a representative number of CSF samples obtained from AIDP and multiple sclerosis (MS) patients and control patients. In total, 2355 peptide fragments related to 795 proteins were found in CSF samples from AIDP patients, 1066 peptide fragments of 253 proteins in samples from MS patients, and 774 peptide fragments of 220 proteins from control patients. Proteomic studies detected 1103 proteins in the control cohort and 1402 proteins in the AIDP cohort. Our dataset suggests that the proteome of the CSF from AIDP and control patients overlaps by as much as 67%, whereas the peptidome is only 21.5% identical. Comparison of the peptidomic and proteomic data revealed that 80% of the peptides in the CSF of AIDP patients correspond to proteins that are not present in proteomic dataset. Importantly, a considerable number of differentially represented peptides are related to the proteins involved in the arrangement of the axonal domains. The observed peptidomic dataset indicates that specific proteins, which participate in the arrangement of the myelin sheath in the nodes of Ranvier, are degraded in the course of AIDP. Here, we show that the proteins that are overrepresented in the CSF of AIDP patients are partially linked with defensive responses to bacteria and viruses. These observations are in line with the upregulation of CSF cytokines associated with innate immunity, which in turn surprisingly suggests that the destruction of axons is not accompanied by any indications of a distinct adaptive autoimmune process. We believe that the presented proteomic and peptidomic dataset of the CSF from AIDP patients will provide useful information regarding the mechanisms of AIDP pathogenesis in comparison with MS, which is the prolonged but incurable autoimmune degradation of the central nervous system.

Project description:Background. The bacterial foodborne pathogen Campylobacter jejuni is a common cause of acute gastroenteritis and is also associated with the postinfectious neuropathies, Guillain-Barré and Miller Fisher syndromes. This study described the use of multilocus sequence typing and DNA microarrays to examine the genetic content of a collection of South African C. jejuni strains, recovered from patients with enteritis, Guillain-Barré or Miller Fisher syndromes. Methodology/Principal Findings. The comparative genomic analysis by using multilocus sequence typing and DNA microarrays demonstrated that the South African strains with Penner heat-stable (HS) serotype HS:41 were clearly distinct from the other South African strains. Further analysis of the DNA microarray data demonstrated that the serotype HS:41 strains from South African GBS and enteritis patients are highly similar in gene content. Interestingly, the South African HS:41 strains were distinct in gene content when compared to serotype HS:41 strains from other geographical locations due to the presence of genomic islands, referred to as Campylobacter jejuni integrated elements. Only the genomic integrated element CJIE1, a Campylobacter Mu-like prophage, was present in the South African HS:41 strains whereas absent in the closely-related HS:41 strains from Mexico. A more distantly-related HS:41 strain from Canada possessed both genomic integrated elements CJIE1 and CJIE2. Conclusion/Significance. These findings demonstrated that these C. jejuni integrated elements may contribute to the differentiation of closely-related C. jejuni strains. In addition, the presence of bacteriophage-related genes in CJIE1 may probably contribute to increasing the genomic diversity of these C. jejuni strains. This comparative genomic analysis of the foodborne pathogen C. jejuni provides fundamental information that potentially could lead to improved methods for analyzing the epidemiology of disease outbreaks and their sources. Keywords: comparative genomic indexing analysis

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Identification of Gene Networks and Pathways Associated with Guillain-Barre Syndrome

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