Expression profiling of rheumatoid arthritis patients treated with anti-TNF
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE33377 | GEO | 2012/01/01
SECONDARY ACCESSION(S): PRJNA148913
REPOSITORIES: GEO
Similar Datasets
Project description:Expression profiles of anti-TNF responders were compared to profiles of anti-TNF non-responders in order to identify an expression signature for anti-TNF response In total 42 patients were treated with anti-TNF. RNA was isoloated from white blood cells and anti-TNF responders (n=18) were compared to nonresponders (n=24) regarding expression profiles
2012-01-01 | E-GEOD-33377 | biostudies-arrayexpress
Project description:Objectives: This study was undertaken to understand the mechanistic basis of response to anti-TNF therapies and determine if transcriptomic changes in the synovium are reflected in peripheral protein markers. Methods: Synovial tissue from 46 RA patients was profiled with RNA sequencing before and 12 weeks after treatment with anti-TNF therapies. Pathway and gene signature analyses were performed on RNA expression profiles of synovial biopsies to identify mechanisms that could discriminate among EULAR good, moderate and non-responders. Serum proteins encoded by synovial genes differentially expressed between EULAR response groups were measured in the same patients. Results: The gene signatures were able to predict good responder patients and pathway analysis identified elevations in immune pathways including chemokine signaling, Th1 and Th2 cell differentiation, and Toll-like receptor signaling uniquely in good responders. These inflammatory pathways were correspondingly down-modulated by anti-TNF therapy only in good responders. Based on cell signature analysis, lymphocyte, myeloid and fibroblast cell populations were elevated in good responders relative to non-responders, consistent with the increased inflammatory pathways. Cell signatures which decreased following anti-TNF treatment were predominately associated with lymphocytes and fewer were associated with myeloid and fibroblast populations. Following anti-TNF treatment and only in good responders, several peripheral inflammatory proteins decreased consistent with corresponding synovial gene changes. Conclusions: Collectively, these data suggest that RA patients with robust responses to anti-TNF therapies are characterized at baseline by immune pathway activation, which decreases following anti-TNF treatment. Understanding mechanisms that define patient responsiveness to anti-TNF may assist in development of predictive markers of patient response and earlier treatment options.
2022-06-06 | GSE198520 | GEO
Project description:Synovial biopsies of Rheumatoid Arthritis patients were obtained at week 20 of anti-TNF therapy. The clinical response to therapy was determined comparing the DAS28 at this time point with the baseline DAS28, using the EULAR response criteria. Gene expression profiles of patients responding to anti-TNF therapy were compared to non-responders and different genes, pathways and deconvoluted cell types were found to be differential between both groups of rheumatoid arthritis patients.
2020-06-30 | GSE140036 | GEO
Project description:Objective: use comprehensive molecular profiling to understand the molecular mechanisms that affect clinical response to anti-TNF therapy in rheumatoid arthritis (RA) and to identify predictive markers to differentiate good responders and non-responders. Methods: two independent cohorts of 40 and 36 biologic-naïve RA patients were selected from the Corrona (Comparative Effectiveness Registry to study Therapies for Arthritis and Inflammatory coNditions) CERTAIN registry and categorized by EULAR response criteria. Whole-blood RNA and plasma samples from baseline and after 3 months of anti-TNF treatment were profiled using RNA-seq, shotgun proteomics and glycopeptide analysis. A cell type-specific transcriptional data analysis was applied to RNA-seq data to evaluate the impact of the most common immune cell sub-populations. Results: a treatment-related molecular signature was identified that showed a high level of correlation (ρ=0.62; permutation p<0.01) between cohorts. Treatment led to a reduction of neutrophils, independent of the status of response. Gene expression differences between good responders and non-responders at baseline did not manifest statistically significant concordance genome-wide between the two cohorts. However, a cell type-specific analysis indicated increased representation of innate cell type signatures in good responders and, conversely, increased expression of adaptive cell type signatures in non-responders at baseline in both cohorts. This result was confirmed by applying the cell-type specific analysis to other publicly available RA datasets. Evaluation of the neutrophil to lymphocyte ratio (NLR) at baseline in the remaining patients (n=1962) from the CERTAIN database using a logistic regression model further confirmed the observation (odds ratio of good/moderate response = 1.20 [95% CI = 1.03 – 1.41; p = 0.02]). Conclusion: differences in innate/adaptive immune cell type composition at baseline may be a major contributor to response to anti-TNF treatment within the first 3 months of therapy.
2019-10-23 | GSE129705 | GEO
Project description:Synovial biopsies of Rheumatoid Arthritis patients with active disease were obtained prior to anti-TNF therapy. Clinical response to anti-TNF treatment was measured 20 weeks later using the EULAR response criteria. Gene expression profiles of patients responding to anti-TNF therapy were compared to non-responders and several genes were found to be differentially expressed between both groups of Rheumatoid Arthritis patients.
2019-07-26 | GSE47726 | GEO
Project description:In 15 patients with rheumatoid arthritis the baseline expression (t=0) of type I IFN-regulated genes was determined in peripheral blood cells (PAXgene) using cDNA-microarrays and compared to levels one month after (t=1) anti-TNF treatment (infliximab). Therefore, we used 43K cDNA microarrays from the Stanford Functional Genomics Facility (http://microarray.org/sfgf/) printed on aminosilane-coated slides containing ~20.000 unique genes. Only one batch of arrays was used for all experiments. First DNA spots were UV-cross linked to the slide using 150-300 mJoules. Sample preparation and microarray hybridization were performed as described previously (1,2). Data storage and filtering was performed using the Stanford Microarray Database (http://genome-www5.stanford.edu//) as described previously. 1. van der Pouw Kraan TC, Wijbrandts CA, van Baarsen LG, Voskuyl AE, Rustenburg F, Baggen JM et al.: Rheumatoid arthritis subtypes identified by genomic profiling of peripheral blood cells: assignment of a type I interferon signature in a subpopulation of patients. Ann Rheum Dis 2007, 66: 1008-1014. 2. van der Pouw Kraan TC, van Baarsen LG, Rustenburg F, Baltus B, Fero M, Verweij CL: Gene expression profiling in rheumatology. Methods Mol Med 2007, 136: 305-327. Abbreviations: - Bnrs are the different patients analyzed - PAX or Paxgene indicates the total RNA was isolated from peripheral blood obtained in PAXgene tubes - CRS: common reference sample: We made a common reference that consisted of a mixture of mRNAs isolated from 11 different cell lines (Perou CM, Jeffrey SS, van de RM et al. Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. Proc Natl Acad Sci U S A. 1999; 96:9212-9217) supplemented with RNA from rheumatoid synovial tissue, fibroblasts, and activated peripheral blood mononuclear cells (PBMCs). - PMT: photomultiplier tube: the sensitivity/intensity of the scanner can be adjusted to prevent spot saturation. Compound Based Treatment: anti-TNF (infliximab) reference_design
2010-06-24 | E-GEOD-19821 | biostudies-arrayexpress
Project description:Synovial inflammatory pathways characterize anti-TNF-responsive rheumatoid arthritis patients
| PRJNA815686 | ENA
Project description:Genome wide DNA methylation profiling of peripheral blood samples of moderate-to-severe psoriasis patients treated with anti-TNF drugs. Patients were distributed on Excellent Responders (ER) if they achieved PASI90 (a 90% reduction with respect to baseline PASI) at 3 and 6 months of treatment with anti-TNF drugs and Partial responders if they did not achieve a PASI75 (a 75% reduction with respect to baseline PASI) at 3 and 6 months of treatment. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in 49 ER and 21 PR which were obtained from peripheral blood samples of anti-TNF drug treated patients. We have searched for pharmaoepigenetic biomarkers of anti-TNF response in moderate-to-severe psoriasis patients.
2020-05-28 | GSE151278 | GEO
Project description:Oligo microarrays were used to access the transcription profiling of the rheumatoid arthritis patients under two different therapeutic approaches, aiming to evaluate if the cDNA microarray study is able to differentiate responders and non-responders to therapies. In the first experiment (MTX therapy) we analyzed 25 patients from which 8 were classified as MTX responders and 17 MTX non-responders. In the second experiment from the 17 MTX non-responder patients, 8 were non-responders and 9 were responders to additional anti-TNF therapy.
2011-12-31 | E-MEXP-3390 | biostudies-arrayexpress
Project description:In 15 patients with rheumatoid arthritis the baseline expression (t=0) of type I IFN-regulated genes was determined in peripheral blood cells (PAXgene) using cDNA-microarrays and compared to levels one month after (t=1) anti-TNF treatment (infliximab). Therefore, we used 43K cDNA microarrays from the Stanford Functional Genomics Facility (http://microarray.org/sfgf/) printed on aminosilane-coated slides containing ~20.000 unique genes. Only one batch of arrays was used for all experiments. First DNA spots were UV-cross linked to the slide using 150-300 mJoules. Sample preparation and microarray hybridization were performed as described previously (1,2). Data storage and filtering was performed using the Stanford Microarray Database (http://genome-www5.stanford.edu//) as described previously. 1. van der Pouw Kraan TC, Wijbrandts CA, van Baarsen LG, Voskuyl AE, Rustenburg F, Baggen JM et al.: Rheumatoid arthritis subtypes identified by genomic profiling of peripheral blood cells: assignment of a type I interferon signature in a subpopulation of patients. Ann Rheum Dis 2007, 66: 1008-1014. 2. van der Pouw Kraan TC, van Baarsen LG, Rustenburg F, Baltus B, Fero M, Verweij CL: Gene expression profiling in rheumatology. Methods Mol Med 2007, 136: 305-327. Abbreviations: - Bnrs are the different patients analyzed - PAX or Paxgene indicates the total RNA was isolated from peripheral blood obtained in PAXgene tubes - CRS: common reference sample: We made a common reference that consisted of a mixture of mRNAs isolated from 11 different cell lines (Perou CM, Jeffrey SS, van de RM et al. Distinctive gene expression patterns in human mammary epithelial cells and breast cancers. Proc Natl Acad Sci U S A. 1999; 96:9212-9217) supplemented with RNA from rheumatoid synovial tissue, fibroblasts, and activated peripheral blood mononuclear cells (PBMCs). - PMT: photomultiplier tube: the sensitivity/intensity of the scanner can be adjusted to prevent spot saturation. Compound Based Treatment: anti-TNF (infliximab)
2010-01-28 | GSE19821 | GEO