Proteomics

Dataset Information

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Proteomic characterization of preclinical, ACPA-positive, and ACPA-negative rheumatoid arthritis identifies biomarkers for assessing disease severity and csDMARD treatment response


ABSTRACT: Tandem mass tag (TMT)-based proteomic analysis was performed on plasma samples collected from 212 RA patients, of which 204 had post-treatment samples. Additionally, 56 individuals at risk of RA (pre-RA) and 99 healthy individuals were included in the study. Through the integration of bioinformatics and machine learning, the study explored protein signatures linked to pre-RA and RA, as well as predictive indicators of response to csDMARDs

ORGANISM(S): Homo Sapiens

SUBMITTER: Lunzhi Dai  

PROVIDER: PXD048245 | iProX | Wed Jan 03 00:00:00 GMT 2024

REPOSITORIES: iProX

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