Relapse of psoriatic arthritis in patients with active psoriasis switched from tumour necrosis factor‐α to interleukin‐17A inhibitor

Management of patients with inflammatory rheumatic diseases after treatment failure with a first tumour necrosis factor inhibitor: A narrative review

The emergence of biologics with different modes of action (MoAs) and therapeutic targets has changed treatment patterns in patients with inflammatory rheumatic diseases. While tumour necrosis factor inhibitors (TNFis) are often utilized as the first biologic disease-modifying antirheumatic drug, some patients may not respond adequately (primary failure), fail to sustain response over time (secondary failure), or experience intolerable adverse events. Whether these patients would benefit more from cycling to a different TNFi or switching to a biologic with a different MoA is still unclear. We discuss here treatment outcomes of TNFi cycling versus MoA switching after treatment failure with a first TNFi in patients with inflammatory rheumatic diseases, focusing specifically on rheumatoid arthritis, psoriatic arthritis, axial spondyloarthritis, and juvenile idiopathic arthritis. Treatment guidelines for these patients are ambiguous and, at times, contradictory in their recommendations. However, this is due to a lack of high-quality head-to-head data to definitively support cycling between TNFis after failure to a first-line TNFi over switching to a different MoA.

Genetics of psoriasis: a basis for precision medicine

Psoriasis is an inflammatory skin disease with a background of polygenic inheritance. Both environmental and genetic factors are involved in the etiology of the disease. In the last two decades, numerous studies have been conducted through linkage analysis, genome-wide association study (GWAS), and direct sequencing to explore the role of genetic variation in disease pathogenesis and progression. To date, >80 psoriasis susceptibility genes have been identified, including HLA-Cw6, IL12B, IL23R, and LCE3B/3C. Some genetic markers have been applied in disease prediction, clinical diagnosis, treatment, and new drug development, which could further explain the pathogenesis of psoriasis and promote the development of precision medicine. This review summarizes related research on genetic variation in psoriasis and explores implications of the findings in clinical application and the promotion of a personalized medicine project.