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Dataset Information

A serum metabolic biomarker panel for early rheumatoid arthritis.


ABSTRACT:

Objective

There is an urgent need for novel biomarkers to improve the early diagnosis of rheumatoid arthritis (ERA). Current serum biomarkers used in the management of ERA, including rheumatoid factor and anti-cyclic citrullinated peptide (ACPA), show limited specificity and sensitivity. Here, we used metabolomics to uncover new serum biomarkers of ERA.

Methods

We applied an untargeted metabolomics approach including gas chromatography time-of-flight mass spectrometry in serum samples from an ERA cohort (n=32) and healthy controls (n=19). Metabolite set enrichment analysis was performed to explore potentially important biological pathways. Partial least squares discriminant analysis and variable importance in projection analysis were performed to construct an ERA biomarker p

SUBMITTER: Rodriguez-Muguruza S 

PROVIDER: S-EPMC10502709 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature