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DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis

ABSTRACT: DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis

PROVIDER: PRJNA782993 | ENA |

REPOSITORIES: ENA

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DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis [MACs]

Project description:DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis [MACs]

| PRJNA782987 | ENA

DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis

Project description:The identification of predictive markers in an early undifferentiated arthritis (UA) patients is pivotal for selecting appropriate therapies to avoid a poor prognosis. In this work, we investigated the association between clinical features and DNA methylation patterns in monocytes from UA patients to seek potential prognostic biomarkers.

2022-05-25 | GSE189426 | GEO

DNA methylation patterns in monocytes associate and evolve with prognosis in undifferentiated arthritis [MACs]

Project description:Ontogenic origin of monocytic cells in the synovial fluid is currently under discussion. Also, the polarization of these cells have been described to a play a role in the pathogenic joints of arthritis patients. To answer these questions, we analyzed data from blood and SF monocytes and compared them with those of in vitro-generated monocyte-derived macrophages. All conditions were compared, and differences were characterized, considering experimental condition (MO, M-CSF or GM-CSF), compartment (blood or SF) and patient prognosis (good or poor).

2022-05-25 | GSE189422 | GEO

The DNA methylation Profile of Undifferentiated Arthritis Patients Anticipates their Subsequent Differentiation to Rheumatoid Arthritis

Project description:Undifferentiated arthritis (UA) is the term used to cover all the cases of arthritis that do not fit a specific diagnosis. A high proportion of UA patients can progress to rheumatoid arthritis (RA) or a different definite rheumatic disease, while others undergo spontaneous remission. In this study, we performed DNA methylation profiling of a UA cohort, in which progression into RA occurs for a significant proportion of the patients.

2021-06-16 | GSE175364 | GEO

The DNA methylation Profile of Undifferentiated Arthritis Patients Anticipates their Subsequent Differentiation to Rheumatoid Arthritis

Project description:The DNA methylation Profile of Undifferentiated Arthritis Patients Anticipates their Subsequent Differentiation to Rheumatoid Arthritis

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Human CD4+ T-cell transcriptome in early arthritis

Project description:An exploration of the peripheral blood CD4+ T-cell transcriptome of early arthritis clinic attendees, seeking novel diagnostic tools and pathophysiological insights. Ex-vivo CD4+ T-cell RNA was obtained following first early arthritis clinic attendance from 173 patients. Four diagnostic categories were confirmed at median 28 months follow-up. Outcome categories are ACPA- RA (A; n=31), ACPA+ RA (B; n=41), Non-RA Inflammatory arthritis (C; n=56), and Non-RA/Non-Inflammatory arthritis (D; n=45). In order to derive and validate a diagnostic gene signature, samples were split into Training set (where patients could be diagnosed at presentation; n=111) and validation set of undifferentiated arthritis (UA; n=62) patients, in whom diagnosis could only be confirmed after the follow-up period. Arrays were processed in two phases (phases 1 and 2). Phase 1 was split into 4 labelling batches, Phase 2 was split into 2 labelling batches. Batch effects were controlled for using this information using the empirical Bayes approach of Johnson et al. (2007). The supplementary file 'GSE20098_non-normalized.txt' contains non-normalized data for Samples GSM502124-GSM502280 and GSM506251-GSM506266.

2012-03-03 | E-GEOD-20098 | biostudies-arrayexpress

Common Immunologic Pathways Between Oligoarticular and Polyarticular Juvenile Idiopathic Arthritis

Project description:The polyarticular and oligoarticular forms of juvenile idiopathic arthritis are classified as distinct entities. At the same time, many children who present with an oligoarticular phenotype eventually evolve to a polyarticular disease pattern, suggesting that the phenotypes might share with overlapping molecular mechanisms. Using gene expression microarrays, we found that 14 genes in neutrophils and 55 genes in PBMC shows common patterns of differential expression when children with active oligoarticular and polyarticular JIA were compared with healthy controls. These results demonstrate that there are commonalities between oligoarticular and polyarticular JIA that suggest overlapping immune mechanisms.

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2020-04-18 | E-MTAB-8322 | biostudies-arrayexpress

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Project description:A total of 762 proteins were identified from 35 pooled rheumatoid arthritis (RA) patients with moderate to high disease activity and 60 pooled healthy serum samples. Among them, 142 proteins including 68 up-regulation and 74 down-regulation were identified in RA compared to healthy subjects.

2021-09-09 | PXD021689 | Pride

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