Sitagliptin is a dipeptidyl peptidase-4 inhibitor commonly used in the treatment of type 2 diabetes mellitus for glycaemic control. Concerns have arisen regarding adverse events caused by this drug, particularly concerning arthralgias. Here, we report on a 56-year-old man being treated with sitagliptin who developed inflammatory arthritis after taking the drug for 6 months. The patient presented with pain, swelling and erythema in multiple joints and was eventually diagnosed with seronegative rheumatoid arthritis (RA) under the 2010 American College of Rheumatology/European League Against Rheumatism classification criteria. His symptoms continued for several months after stopping sitagliptin and eventually went into remission after a tapered course of steroids, hydroxychloroquine and methotrexate. Furthermore, the patient is HLA-DRB3 positive, a genetic marker that is still being investigated for its role in the pathogenesis of RA and that may have been a predisposing factor in the development of this patient's inflammatory arthropathy.
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http://dx.doi.org/10.1136/bcr-2018-228981 | DOI Listing |
Arthritis Rheumatol
January 2025
Medicine & Research Service, VA Nebraska-Western Iowa Health Care System, Omaha, NE.
Objective: Determine whether pollutants such as fire smoke-related particulate matter smaller than 2.5 microns (PM) are associated with incident rheumatoid arthritis (RA) and RA-associated interstitial lung disease (RA-ILD).
Methods: This case-control study used Veterans Affairs data 10/1/2009-12/31/2018.
Sci Adv
January 2025
Department of Rheumatology and Immunology, Peking University People's Hospital & Beijing Key Laboratory for Rheumatism Mechanism and Immune Diagnosis (BZ0135), Beijing, China.
Current diagnosis and treatment of rheumatoid arthritis (RA) is still challenging. More than one-third of patients with RA could not be accurately diagnosed because of lacking biomarkers. Our recent study reported that scavenger receptor-A (SR-A) is a biomarker for RA, especially for anticyclic citrullinated peptide antibody (anti-CCP)-negative RA.
View Article and Find Full Text PDFRheumatol Int
December 2024
Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Cold agglutinin disease, a subtype of cold-type autoimmune hemolytic anemia, is referred to as cold agglutinin syndrome (CAS) when it develops secondary to other conditions. Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by the peripheral destruction of platelets. While both CAS and ITP can occur in patients with rheumatoid arthritis (RA), their concurrent manifestation in a single patient has not been reported, leaving the optimal treatment strategy for such a complex case unclear.
View Article and Find Full Text PDFFront Immunol
December 2024
The Research Institute of Chinese Medicine Clinical Foundation and Immunology, School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Rheumatoid arthritis (RA) and chronic obstructive pulmonary disease (COPD) are prevalent and incapacitating conditions, sharing common pathogenic pathways such as tobacco use and pulmonary inflammation. The influence of respiratory conditions including COPD on RA has been observed, meanwhile RA may constituting one of the risk factors for COPD. It unclear that whether a bidirectional associate between RA and COPD.
View Article and Find Full Text PDFRheumatology (Oxford)
December 2024
Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, UK.
Objectives: We aimed to develop a prediction model identifying people presenting to primary care with musculoskeletal symptoms likely to be anti-CCP positive and therefore at risk of developing rheumatoid arthritis (RA).
Methods: Participants aged ≥16 years, with new-onset non-specific musculoskeletal symptoms and no history of clinical synovitis, completed a symptom questionnaire and had an anti-CCP test. Model development used LASSO-penalised logistic regression, performance was assessed using area under the receiver operating characteristic curve (AUROC) and decision curve analysis, model over-fit was estimated using bootstrapping and cross-validation.
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