Similar Datasets
Project description:Identification of deregulated genes in the thymus of myasthenia gravis patients' subgroup.
2006-11-09 | E-MEXP-518 | biostudies-arrayexpress
Project description:Autoimmune myasthenia gravis (MG) is characterized by thymic abnormalities such as hyperplasia and thymoma. Thymus plays an important role in self-tolerance and is involved in initiation and progression of the disease. A large proportion of MG patient show the presence of ectopic germinal centers (GC) in thymus that are absent in normal individuals. However, the exact mechanism how this change in thymus morphology is triggered and if this is related to pathophysiology of the disease remains unknown. In this study we have compared the mRNA profile of thymus samples obtained during a clinical trial (Thymectomy Trial in Non-Thymomatous Myasthenia Gravis Patients Receiving Prednisone Therapy. ClinicalTrials.gov Identifier: NCT00294658). We have compared the miRNA profile of thymus samples that have distinct germinal centers with those that lack them using Affymetrix miRNA array 4.0 to identify the differentially expressed genes with in the two groups.
2017-09-14 | GSE103812 | GEO
Project description:miRNA in CD4+ T cells: control vs. patients with myasthenia gravis
| PRJNA438450 | ENA
Project description:The project was focused on the serum proteomic profiling of the neuromuscular autoimmune disease, Myasthenia gravis (MG). The project aimed to identify candidate serum proteins to understand the disease better. To eliminate any typical autoimmune response Rheumatoid arthritis (RA) was included as a reference disease to the sample group.
2024-01-26 | PXD019633 | Pride
Project description:Myasthenia gravis (MG) is an autoimmune disease affecting the neuromuscular junction, whose clinical hallmark is muscle weakness and early fatigability. Azathioprine (AZA) is commonly used in Myasthenia Gravis therapy. AZA is a purine antagonist, which inhibits the cell cycle in the resting and DNA synthesis phases. It is usually used as an immunosuppressant to block T- and B-cell proliferation. AZA, bioconverted to 6-mercaptopurine by glutathione S-transferase (GST), can be metabolized either through the hypoxanthine phosphoribosyl transferase pathway to active 6-thioguanine nucleotides (6-TGN) or through the thiopurine S-methyltransferase (TPMT) pathway to inactive methyl-thiopurine metabolites. The incorporation of active 6-TGNs into DNA, causing breaks in DNA strands resulting in interference with RNA production and thereby protein synthesis, is responsible for the drug effect. The response to AZA is determined by which metabolic pathway is being favored. While balanced use of both HPRT and TPMT pathways results in responsiveness to AZA, hyperactivity of TPMT skews the balance towards the TPMT pathway and results in unresponsiveness to AZA with no pharmacological effect. In contrast, low TPMT activity skews the balance towards the HPRT pathway, resulting in increasing side-effects due to the accumulation of 6-TGNs. Current treatments for MG therapy are often inadequate because less than 40% of patients achieve complete remission with available drugs. This reflects the lack of drugs acting on target sites for which there is strong evidence of pathogenicity and the inability to identify responder patients. No criteria for responsiveness are available, exposing patients to unpredictable failures and unpredictable side effects. These individuals are at particular risk for adverse drug reaction (ADRs) or therapeutic failure. Genetic profiling with the Affymetrix drug metabolizing enzymes and transports genotyping array offers the ability to determine 1,931 variants and 225 genes involved in drug metabolism and disposition. Accordingly, the study of well-known drug-metabolizing genes can be involved in the specific metabolic pathway of a drug, which is more likely to define genotype-phenotype association and thereby genotype profiles relevant to drug response that can be applied as predictive biomarkers for pharmacological treatment.
2016-05-01 | E-MTAB-4489 | biostudies-arrayexpress
Project description:Autoimmune myasthenia gravis (MG) is characterized by thymic abnormalities such as hyperplasia and thymoma. Thymus plays an important role in self-tolerance and is involved in initiation and progression of the disease. A large proportion of MG patient show the presence of ectopic germinal centers (GC) in thymus that are absent in normal individuals. However, the exact mechanism how this change in thymus morphology is triggered and if this is related to pathophysiology of the disease remains unknown. In this study we have compared the mRNA profile of thymus samples obtained during a clinical trial (Thymectomy Trial in Non-Thymomatous Myasthenia Gravis Patients Receiving Prednisone Therapy. ClinicalTrials.gov Identifier: NCT00294658). We have compared the mRNA profile of thymus samples that have distinct germinal centers with those that lack them using Affymetrix human transcriptome array 2.0 to identify the differentially expressed genes with in the two groups.
2017-09-19 | GSE103974 | GEO
Project description:gene expression profile in diaphragm (DIA), extensor digitorum longus (EDL) and extraocular (EOM) muscles of rats with actively induced experimentally acquired MG (EAMG) using Affymetrix rat RAE230 gene chip. Keywords: myasthenia gravis (MG), rats with actively induced experimentally acquired MG (EAMG)
2008-10-01 | GSE11465 | GEO
Project description:Myasthenia gravis (MG) is a chronic antibody-mediated autoimmune disease disrupting neuromuscular synaptic transmission. Antibodies (Abs) against the acetylcholine receptor (AChR) are detected in approximately 85% of patients. Here, we aimed to study the serum proteome of MG and to identify novel biomarkers reflecting disease activity.
2023-10-24 | PXD040786 | Pride
Project description:Myasthenia gravis gut fungi
| PRJEB61825 | ENA
Project description:<p>The purpose of this project was to conduct a genome-wide associate study to search for the genetic factors that predispose to myasthenia gravis. The rationale for this study lies in the fact that, although the immunological and physiological processes affecting the neuromuscular junctions of myasthenia gravis patients are well understood, the spectrum of genetic factors that predispose to myasthenia gravis and influence its disease manifestations are not well known. Identification of the myasthenia gravis-related genes will shed light on the fundamental cellular events underlying myasthenia gravis, and will provide focus for research aimed at developing therapies that alter the natural course of the disease.</p> <p>A consortium of fourteen institutions in North America collected DNA samples from 1028 people diagnosed with autoimmune myasthenia gravis. Relevant clinical data have been collected for each patient, including age of onset, severity of disease, response to drug therapy, personal and family history of other autoimmune diseases. Genotyping of the case cohort was performed in the Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD. Genotyping of the case cohort was performed using the HumanOmniExpress-12v1_C SNP array manufactured by Illumina Inc. For the control cohort, we downloaded genotype data from dbGAP (accession <a href="http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000196.v2.p1">phs000196.v2.p1</a>) for 1,998 US neurologically normal individuals. The control cohort had been previously genotyped at the Center for Inherited Disease Research at Johns Hopkins University on HumanOmni1-Quad version 1.0B beadchips (Illumina) as part of the NeuroGenetics Research Consortium GWAS of Parkinson's disease. Analyses were confined to the 677,673 autosomal SNPs that were common to both chips.</p> <p>Of the 1028 samples which were genotyped, 21 samples were excluded due to mismatched genders, 9 were excluded due to low genotype call rate, 5 samples were excluded as duplicates, and 25 samples were excluded as ethnic outliers. The remaining 972 samples were used in analysis.</p>
| phs000726 | dbGaP