Integrated multi-omics revealed that dysregulated lipid metabolism played an important role in RA patients with metabolic diseases.

ABSTRACT:

Objectives

Patients with rheumatoid arthritis (RA) commonly experience a high prevalence of multiple metabolic diseases (MD), leading to higher morbidity and premature mortality. Here, we aimed to investigate the pathogenesis of MD in RA patients (RA_MD) through an integrated multi-omics approach.

Methods

Fecal and blood samples were collected from a total of 181 subjects in this study for multi-omics analyses, including 16S rRNA and internally transcribed spacer (ITS) gene sequencing, metabolomics, transcriptomics, proteomics and phosphoproteomics. Spearman's correlation and protein-protein interaction networks were used to assess the multi-omics data correlations. The Least Absolute Shrinkage and Selection Operator (LASSO) machine learning algorithm were used to identify d

SUBMITTER: Zhu X 

PROVIDER: S-EPMC11529425 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature