Differential gene expression in RA synovial biopsies from responders versus non-responders to adalimumab therapy
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE15602 | GEO | 2009/04/15
SECONDARY ACCESSION(S): PRJNA115725
REPOSITORIES: GEO
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Project description:TNF antagonists are routinely used in severe rheumatoid arthritis (RA) patients who failed conventional DMARD therapy. According to large clinical trials, the three available drugs (adalimumab, infliximab and etanercept) display similar effects in terms of efficacy, tolerability and side effects. These studies also indicate that about 25% of RA patients treated with TNF-antagonists do not display any significant clinical improvement. The aim of this study was to investigate global molecular patterns in synovial biopsies from RA patients obtained 12 weeks after initiation of adalimumab therapy. All patients had rheumatoid arthritis (RA), according to the American College of rheumatology criteria for the diagnosis of RA. They had active disease at the time of initiation of adalimumab therapy and were resistant to conventional therapy. They all had erosive changes imaged on conventional x-rays of the hands and/or feet. All patients were treated with disease-modifying antirheumatic drugs (DMARD’s), 23 with methotrexate (median dose 15 mg/week, range 7.5 – 20 mg/week), and 2 with leflunomide (20 mg/day); 18 of them were treated with low-dose steroids (prednisolone ≤ 7.5 mg/day). Six patients had been included in double-blind clinical trials before inclusion in the present study (1 in a Golimumab versus placebo trial, 3 in a MapKinase inhibitor versus placebo trial and 2 in a TACE-inhibitor versus placebo trial). These trials were stopped at least 3 months prior to initiation of TNF-blocking therapy. All drug dosages were stable from at least 3 months prior to initiation of TNF blocking therapy until completion of the study. No steroid injections were allowed during the duration of the study. Adalimumab therapy was initiated at a dosage of 40 mg subcutaneously every other week. Disease activity at baseline and 12 weeks after initiation of therapy (T12) was evaluated using DAS(28)-CRP (3- and 4-variables) scores, and response to therapy was assessed according to the EULAR response criteria that categorize patients in responders (good- or moderate-) and non- (or poor-) responders based on changes in DAS activity between T0 and T12 and absolute DAS values at T12. Synovial biopsies were obtained by needle-arthroscopy of knee of the patients at T12. The aim of the study was to compare gene expression profiles in synovial tissue of RA patients who responded versus not responded to adalimumab therapy.
2009-04-15 | E-GEOD-15602 | biostudies-arrayexpress
Project description:The objective of this study was to identify specific gene expression profiles able to predict the response of rheumatoid arthritis patients treated with methotrexate (MTX)/adalimumab (ADA) or MTX/etanercept (ETA). Twenty RA patients were received subcutaneously Adalimumab (40 mg each other week) and eleven RA patients were received Etanercept (50 mg per week). The drug efficacy was evaluated with the DAS28 score after 3 months of treatment according to the EULAR response criteria. A blood sample was carried out in patients just before the first injection of treatment in order to isolate peripheral blood mononuclear cells (PBMC) and extract total RNA.
2024-03-22 | GSE42842 | GEO
Project description:Whole blood expression was profiled in Rheumatoid Arthiritis and SLE (Systemic LUPUS Erythomatosus) patients. Expression in the whole blood of RA and SLE patients, comparing gene expression signatures in SLE, and RA DMARD-IR and RA TNF-IR patients. This is baseline whole blood expression data for 3 patient populations (SLE, RA DMARD-IR and RA TNF-IR) and 20 Controls.
2015-05-14 | E-GEOD-45291 | biostudies-arrayexpress
Project description:Objectives: To predict response prior to anti-TNF treatment and comprehensively understand the mechanism how patients respond differently to anti-TNF treatment in rheumatoid arthritis (RA). Methods: Gene expression and/or DNA methylation profiling on PBMC, monocytes, and CD4+ T cells, from 80 RA patients before initiating either adalimumab (ADA) or etanercept (ETN) therapy was studied. After 6-month treatment response was evaluated according to the EULAR criteria of disease response. Differential expression and methylation analyses were performed to identify the response-associated transcriptional and epigenetic signatures. Machine learning models were built using these signatures by random forest algorithm to predict response prior to anti-TNF treatment and were further validated by a follow-up study. Results: Transcriptional signatures in ADA and ETN responders are divergent in PBMCs, and this phenomenon was reproduced in monocytes and CD4+ T cells. The genes upregulated in CD4+ T cells of ADA responders were enriched in the TNF signaling pathway, while very few pathways were differential in monocytes. Differential methylation positions (DMPs) of responders to ETN but not to ADA are majorly hypermethylated. The machine learning models to predict the response to ADA and ETN using differential genes reached overall accuracy of 85.9% and 79%, respectively. The models using DMPs reached overall accuracy of 84.7% and 88% for ADA and ETN, respectively. A follow-up study validated the high performance of these models. Conclusions: Machine learning models based on these molecular signatures could accurately predict response before ADA and ETN treatment, paving the path towards personalized anti-TNF treatment.
2020-08-24 | GSE138746 | GEO
Project description:Objectives: To predict response prior to anti-TNF treatment and comprehensively understand the mechanism how patients respond differently to anti-TNF treatment in rheumatoid arthritis (RA). Methods: Gene expression and/or DNA methylation profiling on PBMC, monocytes, and CD4+ T cells, from 80 RA patients before initiating either adalimumab (ADA) or etanercept (ETN) therapy was studied. After 6-month treatment response was evaluated according to the EULAR criteria of disease response. Differential expression and methylation analyses were performed to identify the response-associated transcriptional and epigenetic signatures. Machine learning models were built using these signatures by random forest algorithm to predict response prior to anti-TNF treatment and were further validated by a follow-up study. Results: Transcriptional signatures in ADA and ETN responders are divergent in PBMCs, and this phenomenon was reproduced in monocytes and CD4+ T cells. The genes upregulated in CD4+ T cells of ADA responders were enriched in the TNF signaling pathway, while very few pathways were differential in monocytes. Differential methylation positions (DMPs) of responders to ETN but not to ADA are majorly hypermethylated. The machine learning models to predict the response to ADA and ETN using differential genes reached overall accuracy of 85.9% and 79%, respectively. The models using DMPs reached overall accuracy of 84.7% and 88% for ADA and ETN, respectively. A follow-up study validated the high performance of these models. Conclusions: Machine learning models based on these molecular signatures could accurately predict response before ADA and ETN treatment, paving the path towards personalized anti-TNF treatment.
2020-08-24 | GSE138653 | GEO
Project description:Anti-TNF therapy has transformed the management of rheumatoid arthritis (RA); however little is known about its effects on cell mediated immune responses and TNF-inducible activity at the site of inflammation. Here, we used the tuberculin skin test (TST) as a standardised in vivo human challenge model to make systems level assessments of the effects of anti-TNF therapy in a prototypic cell mediated immune response. RA patients (treated with monoclonal anti-TNF antibodies (adalimumab or infliximab), the soluble TNF receptor etanercept or the standard therapy methotrexate) and healthy volunteers with immunological memory to Mycobacterium tuberculosis antigens were identified using an interferon-γ release assay of peripheral blood. Two units tuberculin or an equivalent volume of saline was injected into the forearm of study participants (n=50). After 72 hours, 3 mm skin punch biopsies were taken from the injection site and processed for whole genome transcriptional profiling by Agilent gene microarray.
2017-08-04 | E-MTAB-5093 | biostudies-arrayexpress
Project description:Adalimumab is the only FDA- and EMA-approved treatment for moderate-to-severe hidradenitis suppurativa (HS), suggesting that the mechanism of action of adalimumab is distinct in HS and may contribute to improved wound healing. We have demonstrated that adalimumab, but neither etanercept nor certolizumab-pegol, induces a wound healing profile in vitro, which may underlie the differences in efficacy between various anti-TNF agents. To examine and compare the efficacy of therapeutic TNF inhibitors in chronic cutaneous wound healing in vivo, a human TNF knock-in Leprdb/db mouse model was established. The vehicle group exhibited severe impairments in cutaneous wound healing. In contrast, adalimumab significantly accelerated healing, confirmed by both histologic assessment and a unique healing transcriptional profile. Moreover, adalimumab and infliximab showed similar levels of efficacy, but golimumab was less effective, along with etanercept and certolizumab-pegol. In line with histologic assessments, proteomics analyses from healing wounds exposed to various TNF inhibitors revealed distinct and differential wound healing signatures that may underlie the differential efficacy of therapeutic inhibitors in accelerating chronic wound healing.
2023-09-11 | PXD040275 | Pride
Project description:A major unmet need in rheumatoid arthritis (RA) is the choice of treatment options for patients with an inadequate response to anti-TNF agents (anti-TNF–IR). In order to identify pharmacodynamic biomarkers and assess differential effects of TNF- and non–TNF-targeting agents on RA patients with an inadequate response to anti-TNF–IR in comparison with biologic-naïve patients, peripheral protein markers and gene expression levels in association with clinical response posttreatment in two disease strata were assessed in disease-modifying antirheumatic drug (DMARD)-IR and anti-TNF-IR patients. Serum proteomics results indicated the existence of specific pharmacodynamic markers for golimumab and mavrilimumab, regardless of prior anti-TNF treatment. In contrast, both antibodies induced early and sustained suppression of RA disease markers, including IL-6, CRP, IL2RA, and MMP1, in DMARD-IR patients. Golimumab-induced early changes rapidly returned toward baseline concentrations in anti-TNF–IR patients, whereas mavrilimumab-induced changes were maintained through Day 169. RNA sequencing demonstrated gene expression changes at Day 169 after administration of mavrilimumab but not golimumab in anti-TNF–IR patients. Additionally, receiver operating characteristic curve and regression analysis showed the association of early IL-6 change and subsequent clinical responses to golimumab in anti-TNF-IR patients. Our results revealed golimumab- and mavrilimumab-specific pharmacodynamic biomarkers, and demonstrated differential biomarker-treatment relationships in anti-TNF–IR and DMARD-IR patients respectively. Early IL-6 change after anti-TNF antibody treatment may be a potential predictive biomarker for selection of different treatment regimens in anti-TNF-IR patients.
2019-06-13 | GSE120178 | GEO
Project description:Adalimumab (ADA) is the only FDA-approved treatment for moderate-to-severe hidradenitis suppurativa (HS), whereas etanercept (ETN) and certolizumab-pegol (CZP) have been shown to be ineffective, suggesting that the mechanism of action of ADA is distinct in HS and may contribute to improved wound healing. Given that macrophages (Mφ) play pivotal roles throughout the wound healing process, an in-vitro Mφ differentiation assay was carried out to assess the impact of TNF-anti-TNF complexes on these cells. TNF-ADA complexes exhibited stronger inhibitory effects on inflammatory Mφ differentiation. Moreover, RNA sequencing revealed several unique wound healing profiles for TNF-ADA-treated inflammatory Mφs, which were not observed for those treated with either TNF-ETN or TNF-CZP, including the inhibition of the matrix metallopeptidase (MMP) pathway. In addition, ADA administration was found to significantly reduce the levels of inflammatory MMPs -1 and -9 while promoting wound healing MMP-13 and tissue inhibitor of metalloproteinases 2 (TIMP-2) levels in the circulation of those HS patients who responded to treatment. Our in-vitro findings demonstrate that TNF-ADA-treated inflammatory Mφs exhibit a distinct profile resembling wound healing. Moreover, ADA not only differentially regulates MMP expression in HS patients responding to the therapy but potentially induces a transition to a profile suggestive of wound healing.
2021-04-14 | GSE166920 | GEO
Project description:Adalimumab, but neither etanercept nor certolizumab-pegol, has been reported to induce a wound healing profile in the circulation of patients with hidradenitis suppurativa (HS), a chronic inflammatory skin disease. However, the role of tumor necrosis factor alpha (TNF) inhibitors in cutaneous wound healing in vivo is still unclear. To examine and compare the efficacy of various TNF inhibitors in cutaneous wound healing in vivo, a human TNF knock-in Leprdb/db mouse model was established to model the impaired cutaneous wound healing as seen in HS. The vehicle group exhibited severe impairments in cutaneous wound healing. In contrast, adalimumab significantly accelerated healing, confirmed by both histologic assessment and a unique healing transcriptional profile. Moreover, adalimumab and infliximab showed similar levels of efficacy, but golimumab was less effective, along with etanercept and certolizumab-pegol. In line with histologic assessments, proteomics analyses from healing wounds exposed to various TNF inhibitors revealed distinct and differential wound healing signatures that may underlie the differential efficacy of these inhibitors in accelerating cutaneous wound healing. Taken together, these data revealed that TNF inhibitors exhibited differential levels of efficacy in accelerating cutaneous wound healing in the impaired wound healing model in vivo likely through distinct mechanisms of action related to the structure of the biologic or its ability to bind TNF.
2023-09-11 | GSE242837 | GEO