Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression (CD8+ T cells)

ABSTRACT: Background Multiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis. Methods We measured DNA methylation in CD4+ T cells (n=31), CD8+ T cells (n=28), CD14+ monocytes (n=35) and CD19+ B cells (n=27) from relapsing-remitting (RRMS), secondary progressive (SPMS) patients and healthy controls (HC) using Infinium HumanMethylation450 arrays. Monocyte (n=25) and whole blood (n=275) cohorts were used for validations. Findings B cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster. Interpretation We utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular.

ORGANISM(S): Homo sapiens

PROVIDER: GSE130030 | GEO | 2019/06/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Combining evidence from four immune cell types identifies DNA methylation patterns that implicate functionally distinct pathways during Multiple Sclerosis progression (CD4+ T cells)

Project description:Background Multiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis. Methods We measured DNA methylation in CD4+ T cells (n=31), CD8+ T cells (n=28), CD14+ monocytes (n=35) and CD19+ B cells (n=27) from relapsing-remitting (RRMS), secondary progressive (SPMS) patients and healthy controls (HC) using Infinium HumanMethylation450 arrays. Monocyte (n=25) and whole blood (n=275) cohorts were used for validations. Findings B cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster. Interpretation We utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular.

2019-06-01 | GSE130029 | GEO

Novel Biomarkers and Interferon Signature in Secondary Progressive Multiple Sclerosis

Project description:Transcriptome analysis of RNA samples from human PBMCs of IFN-beta-1a (Rebif) therapy in secondary progressive multiple sclerosis (SPMS) patients. Objective: Untreated multiple sclerosis is inflammatory, with decreased immune control and subnormal type I interferon (IFN) signaling. IFN-ß therapy corrects abnormal IFN-ß signaling, reduces inflammation on MRI, exacerbations, and disease worsening in relapsing-remitting MS (RRMS). For unclear reasons, secondary progressive MS (SPMS) exhibits waning attacks, relentless neurodegeneration, and diminished benefits of therapy. Methods: Peripheral blood mononuclear cells and serum were from 10 healthy controls (HC), 9 therapy-naive RRMS, 20 therapy-naïve SPMS, and 10 IFN-ß-treated SPMS patients after therapy washout and four hours after IFN-ß-1a injection. Global gene expression was assayed with sensitive RNA microarrays and multiplexed serum immune and neuroprotective protein assays. Results: Therapy-naive RRMS cells displayed 8,723 differentially expressed genes (DEG), compared to HC, vs. d only 3,936 DEG in therapy-naive SPMS. In SPMS, gene expression was subnormal in the WNT/ß-catenin pathway that suppresses inflammation and enhances blood-brain barrier integrity. Olfactory receptor (OR) genes, linked to lymphocyte migration, were overexpressed in RRMS (111 DEG), intermediate in SPMS (34 DEG) vs. HC, differentiating RRMS from SPMS (p < 0.007). IFN-ß injections in SPMS decreased expression of pro-inflammatory genes and increased anti-inflammatory, anti-oxidant metallothionein genes. Pro-inflammatory and anti-inflammatory protein levels were balanced in HC, disrupted in RRMS, and intermediate in SPMS. Interpretation: Aberrant gene expression seen in RRMS wanes in SPMS, paralleling fewer clinical exacerbations and diminished therapeutic responses. Novel biomarkers for SPMS suggest new targets to correct subnormal immune regulation and brain repair in this neurodegenerative disease.

2024-03-07 | GSE247181 | GEO

Transcriptional response to interferon beta-1a treatment in patients with secondary progressive multiple sclerosis

Project description:Interferon (IFN) beta-1a is an approved treatment for relapsing remitting multiple sclerosis (RRMS) and has been examined for use in secondary progressive multiple sclerosis (SPMS). However, no information regarding blood transcriptional changes induced by IFN treatment in SPMS patients is available. Our aim was to identify a subgroup of SPMS patients presenting a gene expression signature similar to that of RRMS patients who are clinical responders to IFN treatment.

2015-10-06 | GSE73608 | GEO

Multiple Sclerosis Blood Cell mRNA Transcriptome

2010-04-02 | GSE17048 | GEO

Multiple Sclerosis Blood Cell mRNA Transcriptome

Project description:We measured mRNA expression for all known genes in whole blood from 144 individuals, 99 with MS (43 PPMS, 36 RRMS and 20 SPMS). Analysis of gene expression and genotype in these individuals has indicated the dominant genetic association with T cell regulation is matched by the dominant pattern of dysregulation of T cell gene expression in MS and its clinical subtypes. Whole blood mRNA expression was compared between different types of MS and age-matched healthy control to identify differentially expressed genes between them. The supplementary file 'GSE17048_non-normalized_data.txt' contains non-normalized data for Samples GSM426595-GSM426738.

2010-04-13 | E-GEOD-17048 | biostudies-arrayexpress

Methylome signature of bronchoalveolar cells from Multiple Sclerosis patients in relation to smoking

Project description:Background Despite compelling evidence that cigarette smoking impacts the risk of developing Multiple Sclerosis (MS), little is known about smoking-associated changes in the primary exposed cells in the lung of patients. We aimed to examine molecular changes occurring in pulmonary immune cells from MS patients in relation to smoking and in comparison to healthy controls (HC). Methods We profiled genome-wide DNA methylation (5mC) and hydroxymethylation (5hmC) in bronchoalveolar lavage (BAL) cells collected from female MS patients (9 smokers, 8 non-smokers) and healthy volunteers (10 smokers, 12 non-smokers), using Illumina Infinium EPIC arrays on conventional (BS) and oxidative (oxBS) bisulfite DNA. We profiled gene expression using RNA-sequencing in non-smoker MS patients and controls. Findings The most prominent changes were found in relation to smoking, with 1376 BS-differentially methylated positions (DMPs), 131 5mC-DMPs and 4 5hmC-DMP (adjusted P < 0.05) differing between MS smokers and non-smokers. Approximately 30% of the affected genes overlapped with smoking-associated changes in HC, leading to a strong common smoking signature in both MS and HC after gene ontology analysis. Smoking in MS patients resulted in additional discrete changes related to neuronal processes. To further explore MS-specific signature, we performed RNA sequencing in BAL cells from non-smoker MS patients and controls. Overall, methylome and transcriptome analyses in non-smokers suggest that BAL cells from MS patients display very subtle but concordant changes associated to genes connected to reduced transcriptional/translational processes and enhanced cellular adhesion and migration, further corroborating findings from animal studies. Interpretation Our study provides new insights into the impact of smoking on lung inflammation in the immunopathogenesis of MS. -

2020-05-22 | GSE151017 | GEO

iPS-derived early oligodendrocyte progenitor cells from SPMS patients reveal deficient in vitro cell migration stimulation

Project description:Secondary progressive multiple sclerosis (SPMS) most challenging aspect is the lack of efficient regenerative response for remyelination, which is carried out by the endogenous population of adult oligoprogenitor cells (OPCs) after proper activation. OPCs must proliferate and migrate to the lesion and then differentiate into mature oligodendrocytes. To investigate the OPC cellular component in SPMS we developed iPSCs from SPMS affected donors and age matched controls (CT). We confirmed their efficient and similar OPC differentiation capacity, although we reported SPMS-OPCs are transcriptional distinguishable from their CT counterparts. Analysis of OPC-generated conditioned media (CM) also evidenced differences in protein secretion. We further confirmed SPMS-OPC CM presents a deficient capacity to stimulate OPC in vitro migration that can be compensated by exogenous addition of specific components. Our results provide an SPMS-OPC cellular model and encouraging venues to study potential cell communication deficiencies in the progressive form of MS for future treatment strategies.

2020-07-30 | GSE151306 | GEO

Genome-wide DNA methylation profiling identifies epigenetic changes in CD4+ and CD14+ cells of multiple sclerosis patients [CD14]

Project description:Multiple sclerosis (MS) is a chronic autoimmune and degenerative disease of the central nervous system, which develops in genetically predisposed individuals upon exposure to environmental influences. Environmental triggers of MS, such as viral infections or smoking, were demonstrated to affect DNA methylation, and thus to involve this important epigenetic mechanism in the development of pathological processes. To identify DNA methylation hallmarks, associated with MS, we performed genome-wide DNA methylation profiling of two cell populations (CD4+ T-lymphocytes and CD14+ monocytes), collected from the same individuals (relapsing-remitting MS patients and healthy subjects), using Illumina 450K methylation arrays. We revealed significant changes in DNA methylation for both cell populations of studied groups. In CD4+ cells the majority of differentially methylated positions (DMPs) were shown to be hypomethylated, while in CD14+ cells – hypermethylated in MS patients. Noteworthy, in CD4+, but not in CD14+ cells, we found differential methylation of HLA-DRB6 gene from HLA locus, which is known to have the strongest genetic association with MS. Besides, about 20% of DMPs identified in studied cells were identical; they all had the same direction of methylation changes in both cell populations and may be involved in basic epigenetic processes occuring in MS. These findings suggest that the epigenetic mechanism of DNA methylation in immune cells contributes to MS; further studies are now required to validate these results and understand their functional significance.

2022-02-28 | GSE189256 | GEO

Genome-wide DNA methylation profiling identifies epigenetic changes in CD4+ and CD14+ cells of multiple sclerosis patients [CD4]

2022-02-28 | GSE189255 | GEO

NanoString miRNA profiling of peripheral blood sorted CD14+CD16- monocytes from amyotrophic lateral sclerosis, multiple sclerosis and healthy control subjects

Project description:We investigated the innate immune system in the SOD1 ALS model. We found that splenic Ly6CHi monocytes were activated and their progressive recruitment to the spinal cord, but not brain, correlated with neuronal loss. We found a decrease in resident microglia in the spinal cord with disease progression. Two months prior to disease onset, splenic Ly6CHi monocytes had an M1 signature which included increased CCR2. At one month prior to disease onset, microglia expressed increased CCL2 and other chemotaxis-associated molecules. Microglia derived from the spinal cord of SOD1 mice recruited Ly6C+ monocytes to the CNS. Treatment with anti-Ly6C mAb modulated the Ly6CHi monocyte cytokine profile, reduced monocyte recruitment to the spinal cord, diminished neuronal loss and extended survival. In humans with ALS, CD14+/CD16- monocytes (analogue of Ly6CHi monocytes) exhibited an ALS specific microRNA inflammatory signature similar to that observed in the SOD1 mouse providing a direct link between the animal model and the human disease. Thus, the SOD1-like profile of monocytes in ALS subjects may serve as a biomarker for disease stage or progression. Our results suggest that recruitment of inflammatory monocytes plays an important role in disease progression and that modulation of these cells is a potential therapeutic approach. This study used the NanoString nCounter hybridization system and nCounter miRNA expression assays to identify and quantitate miRNAs in blood CD14+CD16- monocytes from ALS, MS and HC subjects Total RNA was isolated from FACS sorted CD14+CD16- blood-derived monocytes from sporadic ALS (n=8), MS (n=8) and HC (n=8) subjects. RNA was profiled using the NanoString nCounter miRNA expression assay

2012-07-25 | E-GEOD-39643 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data