Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Peripheral blood cellular dynamics of Rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs.

ABSTRACT: Peripheral blood cellular dynamics of Rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs.

PROVIDER: PRJNA954458 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Peripheral blood cellular dynamics of Rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs.

Project description:Samples from healthy blood donors, newly diagnosed RA patients, and established RA patients that had an inadequate response to MTX and were about to start tumor necrosis factor inhibitors (TNFi) treatment were collected before and after 3 months treatment. We used in parallel a computational deconvolution approach based on RNA expression and flow cytometry to determine the relative cell-type frequencies

2023-06-28 | GSE229449 | GEO

Peripheral blood cellular dynamics of rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs.

Project description:Rheumatoid arthritis (RA) is an autoimmune disease characterized by systemic inflammation and is mediated by multiple immune cell types. In this work, we aimed to determine the relevance of changes in cell proportions in peripheral blood mononuclear cells (PBMCs) during the development of disease and following treatment. Samples from healthy blood donors, newly diagnosed RA patients, and established RA patients that had an inadequate response to MTX and were about to start tumor necrosis factor inhibitors (TNFi) treatment were collected before and after 3 months of treatment. We used in parallel a computational deconvolution approach based on RNA expression and flow cytometry to determine the relative cell-type frequencies. Cell-type frequencies from deconvolution of gene expression indicate that monocytes (both classical and non-classical) and CD4+ cells (Th1 and Th2) were increased in RA patients compared to controls, while NK cells and B cells (naïve and mature) were significantly decreased in RA patients. Treatment with MTX caused a decrease in B cells (memory and plasma cell), and a decrease in CD4 Th cells (Th1 and Th17), while treatment with TNFi resulted in a significant increase in the population of B cells. Characterization of the RNA expression patterns found that most of the differentially expressed genes in RA subjects after treatment can be explained by changes in cell frequencies (98% and 74% respectively for MTX and TNFi).

| S-EPMC10284888 | biostudies-literature

Specificity, synergy, and mechanisms of splice-modifying drugs

Project description:Drugs that target pre-mRNA splicing hold great therapeutic potential, but the mechanistic understanding of how these drugs function is limited. Here we introduce a biophysical modeling framework that can quantitatively describe the sequence-specific and concentration-dependent behavior of splice-modifying drugs. Using massively parallel splicing assays, RNA-seq experiments, and precision dose-response curves, we apply this framework to two drugs, risdiplam and branaplam, developed for treating spinal muscular atrophy. The results quantitatively define the specificities of risdiplam and branaplam for 5’ splice site sequences, suggest that branaplam recognizes 5’ splice sites via two distinct interaction modes, and disprove the prevailing two-site hypothesis for risdiplam activity at SMN2 exon 7. The results also show, more generally, that single-drug cooperativity and multi-drug synergy are widespread among splice-modifying drugs. Our biophysical modeling approach thus clarifies the mechanisms of existing splice-modifying treatments and provides a quantitative basis for the rational development of new therapies.

2023-01-09 | GSE221868 | GEO

Specificity, synergy, and mechanisms of splice-modifying drugs

Project description:Specificity, synergy, and mechanisms of splice-modifying drugs

| PRJNA916518 | ENA

Predicting drug-free remission in rheumatoid arthritis: the Biomarkers of Remission in Rheumatoid Arthritis (BioRRA) Study

Project description:Sustained remission is now an achievable goal in rheumatoid arthritis (RA) using modern treat-to-target regimens of disease-modifying anti-rheumatic drugs (DMARDs). Recent studies have demonstrated that up to half of patients in remission can discontinue DMARDs and maintain drug-free remission (DFR), with consequent benefits of avoidance of drug toxicity and the need for regular and expensive safety monitoring. However, there are currently no reliable biomarkers that can predict DFR prior to withdrawal of DMARDs. Aim: As part of a wider study of DMARD withdrawal (the BioRRA study), we aimed to identify predictors of time-to-flare following DMARD cessation using whole-genome bulk RNA sequencing data from circulating CD4+ T cells.

2019-07-12 | GSE122612 | GEO

Effects of methotrexate and tofacitinib on gene expression of activated rheumatoid arthritis fibroblast-like synoviocytes

Project description:Activated fibroblast-like synoviocytes (FLS) are drivers of synovitis and structural joint damage in rheumatoid arthritis (RA). Despite the use of disease-modifying drugs, only about 50% of RA patients reach remission in real-world settings. We used an unbiased approach to investigate the effects of standard-of-care methotrexate (MTX) and a Janus kinase inhibitor, tofacitinib (TOFA), on gene expression in RA-FLS, in order to identify untargeted disease mediators.

2024-10-04 | GSE266310 | GEO

Utility of Baseline Transcriptomic Analysis of Rheumatoid Arthritis Synovium as an Indicator for Long-term Clinical Outcomes

Project description:Intent of this experiment is to define the baseline transcriptome of the synovium obtained from rheumatoid arthritis patients prior to initiation of DMARD (Disease-modifying antirheumatic drug) therapy and compare it with the synovial transcriptome of rheumatoid arthritis patients with an established disease profile.

2022-06-01 | E-MTAB-11274 | biostudies-arrayexpress

Rheumatoid arthritis

Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis

2004-11-04 | GSE1919 | GEO

Gene expression of monocytes from rheumatoid arthritis patients treated with bDMARDs and methotrexate.

Project description:It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic Disease-Modifying AntiRheumatic Drugs (bDMARDs) available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and compared the transcriptomic profile of monocytes isolated from patients on treatment with methotrexate alone or in combination with tocilizumab, anti-TNFalpha or abatacept, and from healthy donors. Differential expression analysis of whole-genome transcriptomics yielded a list of regulated genes suitable for functional annotation enrichment analysis. Specifically, abatacept, tocilizumab and anti-TNFalpha cohorts were separately compared with methotrexate using a rank-product-based statistical approach, leading to the identification of 78, 6, and 436 differentially expressed genes, respectively.

2023-03-09 | GSE224330 | GEO

MicroRNA profiling of human cancer cells after treatment with the chromatin modifying drugs 5-aza-2 deoxycytidine and 4-phenylbutyric acid

Project description:miRNA expression profiling in human cancer cells after 5-aza-2'-deoxycytidine and 4-phenylbutyric acid treatment to investigate whether microRNA expression is controlled by these chromatin modifying drugs.

2005-01-01 | E-MEXP-706 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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