The pathogenic role of stem cell-like memory T cells in rheumatoid arthritis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE141836 | GEO | 2021/12/01
REPOSITORIES: GEO
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Project description:Malondialdehyde-modified epitopes (MDA-epitopes) can elicit specific autoantibody that expressed oxidative stress arising in rheumatoid arthritis (RA). The purpose of this study was to discover and validate MDA-peptide adducts as novel biomarkers using concanavalin A affinity chromatography, 1D SDS-PAGE, in-gel digestion, and label-free nano-LC-MS, and evaluate levels of serum MDA, MDA-protein adducts, proteins and autoantibody isotypes against an unmodified and MDA-peptide from Taiwanese female patients with RA and healthy controls (HCs). Levels of serum MDA and MDA-protein adducts were significantly higher in RA patients versus HCs. Four differentially expressed novel MDA-peptides were selected that relative modification ratio were 2-fold differences to examine protein levels and assess autoantibodies to MDA-peptides in RA patients compared with HCs. Four of peptides are autoantigens. Furthermore, 4 MDA-peptides can induce more autoantibody isotypes that are statistical significance in RA patients compared to HCs. Serum IgG and IgM against MDA-peptides showed excellent diagnostic performance in discriminating among RA patients and HCs: area under the curve (AUC, 0.96 ~ 0.98), sensitivity (88.9% ~ 97.8%) and specificity (88.9% ~ 100%). Autoantibodies to MDA-epitopes indicate oxidative modifications occurring in RA, and might be useful as clinical markers fro RA diagnosis if further investigated.
2021-02-25 | PXD004546 | Pride
Project description:The development of T cells has been characterized as taking place over three stages: naïve (Tn), central memory (Tcm), and effector memory (Tem) cells. Recently, stem cell memory T cells (Tscm) were found to be the least-developed memory subset. We performed detailed analysis of the gene expression of human CD4+ T cells from patients with rheumatoid arthritis with clear distinction of the Tn, Tscm, Tcm, and Tem stages.
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Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Using regression correlation
2005-12-14 | E-GEOD-3824 | biostudies-arrayexpress
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria. An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract. Keywords: all_pairs
2005-12-15 | GSE3824 | GEO
Project description:Psoriatic arthritis (PsA) is a chronic inflammatory joint disease, and the diagnosis is quite difficult due to the unavailability of reliable clinical markers. This study aimed to investigate the fecal metabolites in PsA by comparison with rheumatoid arthritis (RA), and to identify potential diagnostic biomarkers for PsA. The metabolic profiles of the fecal samples from 27 PsA and 29 RA patients as well as 36 healthy controls (HCs) were performed on ultra-high-performance liquid chromatography coupled with hybrid triple quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). And differentially altered metabolites were screened and assessed using multivariate analysis for exploring the potential biomarkers of PsA. The results showed that 154 fecal metabolites were significantly altered in PsA patients when compared with HCs, and 45 metabolites were different when compared with RA patients. A total of 14 common differential metabolites could be defined as candidate biomarkers. Furthermore, a support vector machines (SVM) model was performed to distinguish PsA from RA patients and HCs, and 5 fecal metabolites, including α/β-turmerone, glycerol 1-hexadecanoate, dihydrosphingosine, pantothenic acid and glutamine, were determined as biomarkers for PsA. Through the metabolic pathways analysis, we found that the abnormality of amino acid metabolism, bile acid metabolism and lipid metabolism might contribute to the occurrence and development of PsA. In summary, our research provided ideas for the early diagnosis and treatment of PsA by identifying fecal biomarkers and analyzing metabolic pathways.
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2004-11-04 | GSE1919 | GEO
Project description:Rheumatoid arthritis (RA) is a heterogeneous disease. We used cDNA microarray technology to subclassify RA patients and disclose disease pathways in rheumatoid synovium. Hierarchical clustering of gene expression data identified two main groups of tissues (RA-I and RA-II). A total of 121 genes were significantly higher expressed in the RA-I tissues, whereas 39 genes were overexpressed in the RA-II tissues. Among the 121 genes overexpressed in RA-I tissues, a relative majority of nine genes are located on chromosome 6p21.3. An interpretation of biological processes that take place revealed that the gene expression profile in RA-I tissues is indicative for an adaptive immune response. The RA-II group showed expression of genes suggestive for fibroblast dedifferentiation. Within the RA-I group, two subgroups could be distinguished; the RA-Ia group showed predominantly immune-related gene activity, while the RA-Ib group showed an additional higher activity of genes indicative for the classical pathway of complement activation. All tissues except the RA-Ia subgroup showed elevated expression of genes involved in tissue remodeling. These results confirm the heterogeneous nature of RA and suggest the existence of distinct pathogenic mechanisms that contribute to RA. The differences in expression profiles provide opportunities to stratify patients based on molecular criteria.
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Project description:The development of T cells has been characterized as taking place over three stages: naïve (Tn), central memory (Tcm), and effector memory (Tem) cells. Recently, stem cell memory T cells (Tscm) were found to be the least-developed memory subset. We performed detailed analysis of the gene expression of human CD4+ T cells with clear distinction of the Tn, Tscm, Tcm, and Tem stages. We sorted Tn, Tscm, Tcm, and Tem CD4+ T cells from the peripheral blood of six healthy volunteers to see the differences of gene expression between each developmental stage.
2015-05-12 | E-GEOD-61697 | biostudies-arrayexpress
Project description:Sustained clinical remission (CR) without drug treatment has not been achieved in patients with rheumatoid arthritis (RA). This implies a substantial difference between CR and the healthy state, but it has yet to be quantified. We report a longitudinal monitoring of the drug response at multi-omics levels in the peripheral blood of patients with RA. Our data reveal that drug treatments alter the molecular profile closer to that of HCs at the transcriptome, serum proteome and immunophenotype level. Patient follow-up suggests that the molecular profile after drug treatments is associated with long-term stable CR. In addition, we identify molecular signatures that are resistant to drug treatments. These signatures are associated with RA independently of known disease severity indexes and are largely explained by the imbalance of neutrophils, monocytes, and lymphocytes. This high-dimensional phenotyping provides a quantitative measure of molecular remission and illustrates a multi-omics approach to understanding drug response.
2018-07-16 | GSE93272 | GEO