Proteomics

Dataset Information

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Screening protein predictive of response to tumor necrosis factor-α inhibitors treatment in rheumatoid arthritis by using iTRAQ technique and investigating its mechanism through signal pathway


ABSTRACT: Rheumatoid arthritis (RA) is a chronic and disabling disease. TNF-α inhibitors have demonstrated an outstanding performance in relieving joint inflammation and retarding bone erosion involved in RA. However, there is still about one-thirds of RA patients had a poor response to TNF α inhibitors. Currently the personalized biological treatment is the research hotspot. Recent studies focuses on exploring biomarkers predictive of drug response. The research methods such as genomics, transcriptomics, proteomics, metabolomics and immunocytology, have been applied, but they are not successfully integrated. The related studies in China are still at an initial stage, which necessitates an in-depth study in this area. Our preliminary study showed that TNF-α-308 gene polymorphisms existed in Chinese RA patients and PI3K/Akt signal pathway was ativated in proliferated synovial fibroblasts stimulated by TNF-α. Therefore, for the first attempt in China, we intend to screen for differential proteins by using iTRAQ technique in RA patients receiving anti-TNF-α therapy, and then verify the predictive effects of selected differential proteins from the upstream gene polymorphism to the downstream protein expression. We will also investigate the mechanisms of differential proteins involved in TNF-α related signal pathway by using in vitro gene transfer, siRNA interference, and RA animal models. Through our study we hope to discover a prediction protein with a domestic genetic background and finally establish a prediction system with Chinese characteristics.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

DISEASE(S): Rheumatoid Arthritis

SUBMITTER: Jian Chen  

LAB HEAD: Fen Li

PROVIDER: PXD010378 | Pride | 2022-02-15

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MultiConsensus.pep.xml Pepxml
MultiConsensus.prot.xml Xml
P16361.msf Msf
P16361_F1.raw Raw
P16361_F10.raw Raw
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Publications

iTRAQ and PRM-Based Proteomic Analysis Provides New Insights into Mechanisms of Response to Triple Therapy in Patients with Rheumatoid Arthritis.

Chen Jian J   Li Shu S   Ge Yan Y   Kang Jin J   Liao Jia-Fen JF   Du Jin-Feng JF   Tian Jing J   Xie Xi X   Li Fen F  

Journal of inflammation research 20211218


<h4>Background</h4>Approximately 30% of patients with rheumatoid arthritis (RA) respond poorly to combination therapy of multiple drugs. The molecular mechanisms of different responses to methotrexate + leflunomide + infliximab therapy in patients with RA were explored in this study.<h4>Methods</h4>Infliximab was administered to patients with RA whose disease activity score was higher than 5.1 after 1 month of combination therapy with methotrexate and leflunomide. After 14 weeks of undergoing tr  ...[more]

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