Transcriptomic profile comparison of monocytes from rheumatoid arthritis patients in treatment with methotrexate, anti-TNFa, abatacept or tocilizumab.
Maria TalmonMarcella PercioJoyce Afrakoma ObengFederico A RuffinattiDaniele SolaPier Paolo SainaghiEmanuela BellisStefano CusinatoAurora IannielloLuigia Grazia FresuPublished in: PloS one (2023)
It is well documented that patients affected by rheumatoid arthritis (RA) have distinct susceptibility to the different biologic DMARDs available on the market, probably because of the many facets of the disease. Monocytes are deeply involved in the pathogenesis of RA and we therefore evaluated and compared the transcriptomic profile of monocytes isolated from patients on treatment with methotrexate alone or in combination with tocilizumab, anti-TNFα or abatacept and from healthy donors. Whole-genome transcriptomics yielded a list of regulated genes by Rank Product statistics and DAVID was then used for functional annotation enrichment analysis. Last, data were validated by qRT-PCR. Abatacept, tocilizumab and anti-TNFa cohorts were separately compared with methotrexate, leading to the identification of 78, 6, and 436 differentially expressed genes, respectively. The upper-most ranked genes were related to inflammatory processes and immune responses. Such an approach draws the genomic profile of monocytes in treated RA patients and lays the basis for finding gene signature for tailored therapeutic choices.
Keyphrases
- rheumatoid arthritis
- rheumatoid arthritis patients
- disease activity
- end stage renal disease
- ejection fraction
- newly diagnosed
- immune response
- ankylosing spondylitis
- genome wide
- prognostic factors
- dendritic cells
- oxidative stress
- high dose
- single cell
- chronic kidney disease
- peritoneal dialysis
- copy number
- gene expression
- patient reported outcomes
- machine learning
- electronic health record
- deep learning
- combination therapy
- low dose
- genome wide analysis
- big data
- real time pcr