Erschienen in:
27.05.2021 | Original Article
TGFB1 (rs1800470 and rs1800469) variants are independently associated with disease activity and autoantibodies in rheumatoid arthritis patients
verfasst von:
Tatiana Mayumi Veiga Iriyoda, Tamires Flauzino, Neide Tomimura Costa, Marcell Alysson Batisti Lozovoy, Edna Maria Vissoci Reiche, Andréa Name Colado Simão
Erschienen in:
Clinical and Experimental Medicine
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Ausgabe 1/2022
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Abstract
To evaluate the association between TGFB1 + 869 T > C (rs1800470) and TGFB1-509 C > T (rs1800469) variants with susceptibility for rheumatoid arthritis (RA), disease activity, presence of rheumatoid factor (RF), anti-cyclic citrullinated peptide (anti-CCP) and TGF-β1 plasma levels. A total of 262 patients with RA and 168 control individuals were tested for the TGFB1 variants using a TaqMan genotyping assay. Disease activity score in 28 joints (DAS28) classified RA patients into two groups of disease activity: remission/mild (DAS28 < 3.2) and moderate/severe (DAS28 ≥ 3.2). TGFB1 + 869 T > C and −509 C > T variants, independently or in haplotype combination, were not associated with RA’s susceptibility. Patients with the TGFB1-509 TT genotype had a higher frequency of DAS28 ≥ 3.2 (OR 2.58, 95% CI 1.04–6.42, p = 0.041). The TGFB1 + 869 CC genotype in seropositive patients for RF or anti-CCP was associated with decreased TGF-β1 levels (p = 0.032 and p = 0.039, respectively). Patients with the TGFB1 + 869 C allele and elevated RF titles demonstrated a higher frequency of DAS28 ≥ 3.2 (p = 0.037). The TGFB1 + 869 T > C variant was associated with diminished TGF-β1 plasma levels and moderate/severe activity disease only in seropositive RF patients. This is the first study showing that TGF-β1 plasma levels can be modulated by the interaction between the TGFB1 + 869 T > C variant and autoantibodies. However, the TGFB1-509 C > T variant was associated with moderate/severe activity disease, independently of autoantibodies positivity. Thus, our findings suggest that TGFB1 + 869 T > C and −509 C > T variants can predict activity disease in different RA patient subgroups.