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2,461 results for “Rheumatoid arthritis”
Efficacy and Safety of Butyrate Supplementation in Rheumatoid Arthritis
GEO Series GSE299304. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Comprehensive analysis and functional characteristics of differential expression of N6-methyladenosine methylation modification in the whole transcriptome of rheumatoid arthritis
GEO Series GSE213842. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Integrative Pharmacology Powers the Active Components Detection and Mechanism Exploration of Wang Bi Granules Acting on Rheumatoid Arthritis
GEO Series GSE181156. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Gene expression from fibroblast-like synoviocytes (FLS) of three patients with rheumatoid arthritis (RA) that were cultured in four conditions: control medium (Basal), ATRA, TNF and ATRA+TNF.
GEO Series GSE120785. Homo sapiens. 8 samples. Type: Expression profiling by array.
Super-Omics and PCAS Reveal Rheumatoid Arthritis as a Tumor-like Disease
GEO Series GSE285865. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Inflammatory Cytokines shape a Changing DNA Methylome in Monocytes Mirroring Disease Activity in Rheumatoid Arthritis (patients)
GEO Series GSE134429. Homo sapiens. 64 samples. Type: Methylation profiling by array.
White blood cells from rheumatoid arthritis patients and matched healthy donors
GEO Series GSE117769. Homo sapiens. 120 samples. Type: Expression profiling by high throughput sequencing.
microRNA profiling in different stages of rheumatoid arthritis
GEO Series GSE115885. Homo sapiens. 20 samples. Type: Non-coding RNA profiling by array.
lncRNA and mRNA expression profiles in fibroblast-like synoviocytes from rheumatoid arthritis patients and trauma patients
GEO Series GSE103578. Homo sapiens. 6 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis.
GEO Series GSE266852. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
Hyperactive lateral habenula mediates the comorbidity between rheumatoid arthritis and depression-like behaviors
GEO Series GSE241929. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
ScRNA-seq Analysis of peripheral blood Tfh cells from rheumatoid arthritis patients
GEO Series GSE279838. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Identifying the impact of intergenic variants from meta-GWAS of Rheumatoid Arthritis
GEO Series GSE101812. Homo sapiens. 5 samples. Type: Other.
NMR based Synovial fluid metabolomics analysis of Reactive arthritis, Rheumatoid arthritis and Osteoarthritis
<p>Reactive arthritis (ReA) is an inflammatory arthritis that often develops 2–4 weeks after an extraarticular infection with Chlamydia, Salmonella, Shigella, Campylobacter, and Yersinia species. Synovial fluid (SF) represents the diseased process under pathological conditions and its distinctive metabolic profiles may provide the diagnostic capacity and understanding of the disease state of reactive arthritis (ReA). The aim of this study is to identify characteristic metabolic changes that could differentiate ReA from non-ReA groups. The metabolic profiles of SF collected from ReA (n=58), rheumatoid arthritis (RA, n=21) and osteoarthritis (OA, n=20) patients were measured using NMR spectroscopy and compared using orthogonal partial least-squares discriminant analysis (OPLS-DA). Further, the receiver-operating characteristic (ROC) curve analysis was performed to establish the diagnostic potential of discriminatory metabolites. Finally, the correlation analysis of 38 metabolites between paired SF and serum from ReA patients was done using Pearson rank coefficient (r). The metabolomics profiles in synovial fluid were distinct between ReA, RA, and OA. The OPLS-DA demonstrated a distinctive metabolite profile of synovial fluid of ReA patient compare to RA RA and OA. Fourteen metabolites were obtained by VIP values of greater than 1 for both groups (ReA vs OA and ReA vs RA) and 12 and 6 of them were selected as potential biomarkers by student t-test for ReA vs OA and ReA vs RA groups. We utilized receiver operating characteristic analysis to determine the diagnostic value of each metabolite and identified in ReA compare to RA and OA as potential biomarkers, with an area under the ROC curve >0.8. A panel of six metabolites (NAG, glutamate, glycerol, isoleucine, alanine and glucose from ReA vs OA group) and two metabolites (alanine and carnitine from ReA vs RA group) was identified as a specific biomarker of ReA. Finally, the pearson correlation coefficient (r) between serum and SF ranged from -0.17 to 0.87 for each of the 38 metabolites, and 71% of the relations were significantly positive. Our approach successfully identified SF biomarkers associated with ReA patients that could serve as an efficient tool for early diagnosis of ReA and the role of these biomarker in the pathogenesis of ReA should be explored in future studies. This is the first study that establishes the correlation between metabolic profiles in SF and serum obtained from ReA patients.</p>
Elevated circulatory Glycine to Histidine ratio in Preclinical models of Rheumatoid Arthritis: A Targeted NMR-based metabolomics study
<p><strong>Description:</strong> Rheumatoid arthritis (RA) is a chronic inflammatory disease that causes joint inflammation, bone and cartilage destruction, and sometimes disability. The pathophysiology of RA, on the other hand, is multifactorial and, to a significant extent, unknown. Abnormal glycine metabolism is well established pathophysiological feature in RA [1] and the circulatory levels of glycine are largely reported to be elevated in RA [2]. Further, various clinical studies report the decreased circulatory levels of histidine in RA Patients. The low free serum histidine levels have also been found to be associated with disease activity in RA [3]. Other studies reported higher levels of free histidine in the synovial fluid (SF) compared to that in the patient serum samples of RA (considered to be an inflammatory arthritis condition) but SF histidine levels were significantly lower than corresponding results in patients with osteoarthritis (OA, considered to a non-inflammatory arthritis condition) [4]. Therefore, we hypothesized and demonstrated that the circulatory <strong>glycine to histidine ratio (GHR)</strong> is significantly elevated in RA compared to NC (with p-value <0.0001). For this, fifty (N= 50) serum samples obtained from thirty (N=30) normal control rats and twenty (N=20) rat models of rheumatoid arthritis (RA, induced using Complete Freund's adjuvant (CFA) treatment) were analyzed using high-resolution 800 MHz NMR spectrometer. The serum metabolic profiles were measured using standard 1D-<sup>1</sup>H-CPMG NMR experiments and the concentration levels of selected metabolites (glycine and histidine) were estimated using NMR suite of commercial software CHENOMX following the procedure as described previously from our research group [5]. <strong>The mean values (±standard deviation) of circulatory GHR levels in the serum samples of RA and NC rats were found to be 6.65 ± 2.29 and 3.46 ± 0.93, respectively. </strong>We further performed the receiver operating characteristic (ROC) curve analysis and the resulted area under ROC curve value of <strong>0.97 (with 95% confidence interval 0.92-1.0 and p-value <0.0001) suggested that the circulatory GHR levels have significant potential </strong>to serve as a better preclinical indicator of disease activity in RA and may be a reliable clinical biomarker for monitoring the treatment response in such preclinical models.</p> <p> </p> <p><strong>References:</strong></p> <p>[1] Lemon, H.M., Chasen, W.H. and Looney, J.M., 1952. Abnormal glycine metabolism in rheumatoid arthritis. <em>The Journal of clinical investigation</em>, <em>31</em>(11), pp.993-999.</p> <p>[2] Trang, L.E., Fürst, P., Odeback, A.C. and Lövgren, O., 1985. Plasma amino acids in rheumatoid arthritis. <em>Scandinavian journal of rheumatology</em>, <em>14</em>(4), pp.393-402.</p> <p> </p> <p>[3] Gerber, D.A., 1975. Low free serum histidine concentration in rheumatoid arthritis. A measure of disease activity. <em>The Journal of clinical investigation</em>, <em>55</em>(6), pp.1164-1173.</p> <p> </p> <p>[4] Sitton, N. G., Dixon, J. S., Bird, H. A., & Wright, V. (1986). Serum and synovial fluid histidine: a comparison in rheumatoid arthritis and osteoarthritis. <em>Rheumatology international</em>, <em>6</em>(6), 251-254.</p> <p> </p> <p>[5] Umesh Kumar, Abhai Kumar, Smita Singh, Payal Arya, Sandeep Kumar Singh, Rameshwar Nath Chaurasia, Anup Singh, and Dinesh Kumar, “An elaborative NMR based plasma metabolomics study revealed metabolic derangements in patients with Mild Cognitive Impairment: A study on North Indian Population” <strong>Metabolic Brain Disease</strong> (2021) 36, 957–968. (DOI: 10.1007/s11011-021-00700-z)</p>
Fig. 4 in Sesquiterpenes from Kadsura coccinea attenuate rheumatoid arthritis-related inflammation by inhibiting the NF-κB and JAK2/STAT3 signal pathways
Fig. 4. Experimental and calculated ECD spectra of compound 1.
Predictive Clinical Diagnosis of Rheumatoid Arthritis Flares Using Non-Invasive Infra-red Thermal Imaging and an AI/ML Algorithm
ClinicalTrials.gov study NCT05124990. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Compassionate Use of Pennsaid Topical Lotion (Diclofenac) in Osteo or Rheumatoid Arthritis
ClinicalTrials.gov study NCT01579890. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Anakinra (Kineret®) in Combination With Disease Modifying Anti-Rheumatic Drugs (DMARDS) in Subjects With Active Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT00117091. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Pharmacokinetics, Safety and Efficacy of BIIL 284 BS in Patients With Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT02247375. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.