English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Objective  Rheumatoid Arthritis (RA) is a progressive autoimmune disease characterized by chronic joint inflammation and structural damage. Remission or at least low disease activity (LDA) represent potentially desirable goals of RA treatment. Single nucleotide polymorphisms (SNPs) in several genes might be useful for prediction of response to therapy. We aimed at exploring 4 SNPs in candidate genes ( STAT4 ,  PTPN2 ,  PSORS1C1  and  TRAF3IP2 ) in order to investigate their potential role in the response to therapy with tumor necrosis factor inhibitors (TNF-i) in RA patients.    Methods  In 171 RA patients we investigated the following SNPs: rs7574865 ( STAT4 ), rs2233945 ( PSORS1C1 ), rs7234029 ( PTPN2 ) and rs33980500 ( TRAF3IP2 ). Remission, LDA, and EULAR response were registered at 6 months and 2 years after initiation of first line TNF-i [Adalimumab (ADA) and Etanercept (ETN)].    Results   STAT4  variant allele was associated with the absence of a good/moderate EULAR response at 2 years of treatment in the whole RA group and in ETN treated patients. The  PTPN2  SNP was associated with no good/moderate EULAR response at 6 months in ADA treated patients. Patients carrying  PSORS1C1  variant allele did not reach LDA at 6 months in both the whole RA group and ETN treated patients.  TRAF3IP2  variant allele was associated with the lack of LDA and remission achievement at 6 months in all RA cohort while an association with no EULAR response at 2 years of treatment occurred only in ETN treated patients.    Conclusions  For the first time, we reported that SNPs in  STAT4 ,  PTPN2 ,  PSORS1C1 , and  TRAF3IP2  are associated with response to TNF-i treatment in RA patients; however, these findings should be validated in a larger population.

Polymorphisms in STAT4, PTPN2, PSORS1C1 and TRAF3IP2 Genes Are Associated with the Response to TNF Inhibitors in Patients with Rheumatoid Arthritis