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Could diagnostic biomarkers be used to predict the response to biologic therapy in Rheumatoid Arthritis?
8th World Congress on Toxicology and Pharmacology
Gavrila B I, Claudia Ciofu, Carina Mihai, Bojinca M, Stoica V, Gabriela Udrea, Ciotaru D, Mihaela Surcel, Adrina Munteanu, Ursaciuc C and
Eugenia Panaitescu
Carol Davila University of Medicine and Pharmacy, Romania
INCD, Romania
Background: Biologic therapies have revolutionized the treatment of Rheumatoid Arthritis (RA). Despite these advances, 20-40%
of the patients are declared nonresponders to at least one of the therapies. The patient exposure to the potential side effects and high
costs requires the discovery of a biomarker that could identify those who can benefit from the pretreatment of a certain therapy.
We proposed to test the predictive role for the response to biologic therapy of diagnostic biomarkers used in RA: rheumatoid
factor (RF) isotypes IgM and IgA, anti-cyclic citrullinated peptide (anti-CCP) and auto-antibodies against mutated citrullinated
vimentin (anti-MCV). We also followed the evolution of serum levels of these biomarkers under biologic therapy.
Methods: Prospective and observational study including 64 patients followed 12 months with active RA, uncontrolled by
conventional synthetic DMARDs or declared non-responders to one of the biologic DMARDs.
Results: Lower baseline titres of RF type Ig M (51.36�±95.359 U/ml, p=0.01629), Ig A (22.45�±61.256 U/ml, p=0.03336) and
anti-CCP (60.82�±26.331ng/ml, p=0.00011) had predictive value for achieving a good EULAR response at 6 months. Regarding
anti-MCV baseline titres, there were no differences between groups at 6 months (p=0.45914) or at 12 months (p=0.11354).
Grouping patients in 2 categories (responders/non-responders), we identified significant differences between groups only for
anti-CCP and response at 6 months (responders 96.04�±50.355ng/ml, non-responders 146.16�±41.68ng/ml, p=0.02834). For the
EULAR response at 12 months, lower baseline titres for RF type Ig M (92.93�±120.22 U/ml, p=0.01032) and Ig A (49.96�±98.08
U/ml, p=0.00247) had predictive value for achieving a good response at 12 months. We didn�t obtain other information
grouping patients in 2 categories. Regarding the evolution of serum levels, we noticed a reduction for all four biomarkers
tested, statistically significant at 6 and / or 12 months from baseline.
Conclusion: Besides from their diagnostic role, these biomarkers could be used for other purposes in Rheumatoid Arthritis.
Biography
GavrilÃ?Â? B I completed his PhD in 2016 from University of Medicine and Pharmacy, Bucharest (Romania). Currently, he is working as an Assistant Professor at Department of Internal Medicine and Rheumatology, Bucharest.