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Proteomic analysis of meninges from autoimmune encephalitis (mouse model)

ABSTRACT: We developed a B-cell-mediated mouse model of Anti-N-Methyl-D-aspartate receptor autoimmune encephalitis (AE) by immunization with a GluN1359–378 peptide. In our model, mice display a series of symptoms that recapitulate autoimmune encephalitis such as anxiety behaviour and spatial memory impairment (Wagnon et al, Brain 2020) . Proteomic analysis of AE meninges showed enrichment of differentially expressed proteins in biological processes associated with B cell activation and cytokine signalling pathways.

ORGANISM(S): Mus Musculus

SUBMITTER: Olivier Toutirais

PROVIDER: PXD057817 | iProX | Tue Nov 12 00:00:00 GMT 2024

REPOSITORIES: iProX

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Project description:Background: Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is a nervous autoimmune disorder discovered in the recent more than fifteen years. To understand potential involvement of epigenetic mechanisms in pathogenesis of anti-NMDAR encephalitis, we initiated a study to compare the expression profiles of long non-coding RNAs (lncRNAs) and messenger RNA (mRNAs) in patients of anti-NMDAR encephalitis and healthy controls. Methods: 11 patients who were diagnosed with anti-NMDAR encephalitis were enrolled in our observational studies. Total RNA was extracted from patients’ plasma and the expression levels of lncRNAs and mRNAswere determined. Differential expression analysis via RNA sequencing, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, as well as a co-expression network of lncRNA-mRNA were performed in 5 patients and 5 healthy controls to evaluate potential the changes in expression patterns. The expression levels of certain lncRNAs and mRNAs were further validated in 11patients and 11 healthy controls using quantitative real-time polymerase chain reaction (qRT-PCR). Results: It was found that a total of 83 lncRNAs and 2345 mRNAs were differentially expressed in five patients with anti-NMDAR encephalitis compared with five healthy controls. Of those lncRNAs, 63 were upregulated and 20 downregulated, while 1509 mRNAs were upregulated and 836 downregulated. GO and KEGG pathway analyses showed that a wide range of biological functions were perturbed during acute anti-NMDAR encephalitis. Differentially expressed genes were found to be involved in autoimmune, B cell signaling, neuroinflammation, or synaptic plasticity. qRT-PCR was conducted in 11 patients and 11healthy controls to further confirm the levels of six lncRNAs and four mRNAs, and the results were found to be consistent with those by RNA sequencing. The co-expression networks of lncRNA-mRNA were performed in some meaningful KEGG analyses, including chemokine signaling pathway, Long-term potentiation, B cell receptor signaling pathway and MAPK signaling pathway. Conclusions: Taken together, these findings suggest the involvement of a number of molecular pathways in anti-NMDAR encephalitis, some of which could serve as potential biomarkers to assist in diagnosis, treatment and prognosis.

Project description:Background: The diagnosis and monitoring of Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis typically rely on clinical manifestations and the detecting of anti-NMDAR antibodies. However, several studies have found that anti-NMDAR IgG in serum is not entirely specific and can be detected in about 3% of healthy individuals. Objective: To identify novel biomarkers that can accurately monitor the severity of anti-NMDAR encephalitis. Methods: We enrolled 9 patients with anti-NMDAR encephalitis and categorized them into an acute-phase group and a stable-phase group based on the duration of illness and disease severity. The clinical severity of the patients was assessed using the modified Rankin Scale (mRS) and the clinical assessment scale for autoimmune encephalitis (CASE). Then, we isolated exosomal miRNAs from plasma samples and analysed the differentially expressed miRNAs through next-generation sequencing. The sequencing results were validated using RT-qPCR. Furthermore, we conducted correlation analyses between miRNAs and clinical severity. Finally, we performed the functional pathways analysis to explore the underlying mechanisms in anti-NMDAR encephalitis. Results: We have found that exosomal miR-432-5p, miR-4433b-5p and miR-599 exhibited significant differences between patients with anti-NMDAR encephalitis and healthy controls, as well as at different stages of the disease. The expressions of miR-432-5p and miR-4433b-5p were negatively correlated with both the mRS and the CASE. We further identified that the pathways involved in rhythmic processes and neuroinflammation, as well as glutamatergic signaling, play significant roles in the pathogenesis of anti-NMDAR encephalitis. Conclusions: Our research indicates that exosomal miR-432-5p, miR-4433b-5p and miR-599 were highly correlated with the severity of anti-NMDAR encephalitis and can serve as potential biomarkers for disease monitoring. We further identified the pathways play significant roles in anti-NMDAR encephalitis. By modulating the functions of these crucial pathways, we can potentially uncover novel therapeutic targets and improve patient outcomes.

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Proteomic analysis of meninges from autoimmune encephalitis (mouse model)

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