Rheumatoid Arthritis Market projected to grow at 4.46% CAGR, reaching USD 60.7 Billion by 2035, driving growth global trends, competitive industry analysis and outlook 2025-2035.

Upadacitinib and infliximab produce the fastest symptom relief and highest post-induction clinical response rates in moderate to severe UC.

Background: Systemic Lupus Erythematosus (SLE) is a life-threatening, multisystem autoimmune disease. Biologic therapy is a promising treatment for SLE. However, public understanding of this therapy is still insufficient, and the quality of related information on the internet varies, which affects patients' acceptance of this treatment. The effectiveness of AI technologies, such as ChatGPT, in knowledge dissemination within the healthcare field has attracted significant attention. Research on ChatGPT's utility in answering questions regarding biologic therapy for SLE could promote the dissemination of this treatment. Objective: This study aims to evaluate ChatGPT's utility as a tool for users to obtain health information about biologic therapy for SLE online. Methods: This study extracted 20 common questions related to biologic therapy for SLE, their corresponding answers, and the sources of these answers from both Google Web Search and ChatGPT-4o. Then, based on Rothwell's classification, the questions were categorized into three main types: fact, policy, and value. The sources of the answers were classified into five categories: commercial, academic, medical practice, government, and social media. The accuracy and completeness of the answers were assessed using Likert scales. The readability of the answers was evaluated using the Flesch Reading Ease (FRE) and Flesch-Kincaid Grade Level (FKGL) scores. Results: The study found that, in terms of question types, ChatGPT-4o had the highest proportion of fact questions (10/20), followed by policy (7) and value (3). Google Web Search had the highest proportion of fact questions (12/20), followed by value (5) and policy (3). In terms of website sources, ChatGPT-4o's answers were sourced from 48 sources, with the majority coming from academic sources (29/48). Google Web Search provided answers from 20 sources, with an even distribution across all five categories. For accuracy, ChatGPT-4o's mean score (5.83 ± 0.49) was higher than that of Google Web Search (4.75 ± 0.94), with a mean difference of 1.08 (95% CI: 0.61-1.54). For completeness, ChatGPT-4o's mean score (2.88 ± 0.32) was higher than that of Google Web Search (1.68 ± 0.69), with a mean difference of 1.2 (95% CI: 0.96-1.44). For readability, the FRE and FKGL scores for ChatGPT-4o and Google Web Search were 11.7 and 14.9, 16.2 and 20, respectively, indicating that both texts were of high reading difficulty, requiring readers to have a college graduate-level reading proficiency. When asking ChatGPT to respond at a sixth-grade level, the readability of the answers significantly improved. Conclusions: ChatGPT's answers are characterized by accuracy, rigor, comprehensive and professional supporting materials, and demonstrate humanistic care. However, the readability of the provided text is low, requiring users to have a college education background. Given the study's limitations in question scope, comparison dimensions, research perspectives, and language types, further in-depth comparative research is recommended.

ChatGPT demonstrates higher accuracy and completeness than Google Web Search when providing information about biologic therapy for systemic lupus erythematosus (SLE), according to a new comparative st...

Patients with asthma who had improved peripheral airway reactance following biologics showed increased likelihood of clinical remission.

Two international clinical trials found that the investigational biologic therapy tozorakimab significantly reduced COPD flare-ups in patients receiving standard treatment, compared with standard treatment alone. ...

Atopic dermatitis is the most common inflammatory skin disease globally, affecting ~1 in 10 people. A new comprehensive review in Nature … #Atopicdermatitis #Biologictherapy #Dermatology #Immunology #Inflammatorydisease

Re-escalation of anti-TNF therapy is common among older adults with RA and typically occurs within 6 months of prior de-escalation.

Background: Adalimumab, a monoclonal antibody targeting TNFα, treats autoimmune diseases but induces anti-drug antibodies in 30–60% of patients, reducing its efficacy. Objective: This study investigates molecular mimicry as a mechanism behind this immunogenicity, where bacterial immunoglobulin domains structurally resemble adalimumab’s light chain, triggering immune responses. Methods: Using PSI-BLASTp and IBIVU Praline, there are 40 bacterial antigens homologous to adalimumab, with eight clinically relevant strains. Results: Structural analysis revealed 94% amino acid identity between the immunoglobulin domain of Escherichia coli strain B1 and adalimumab’s light chain, and 89.67% similarity with Corynebacterium pyruviciproducens. Root Mean Square Deviation values confirmed strong structural homology. Additionally, five cross-reactive B-cell epitopes were predicted, suggesting overlapping surfaces that may promote immune cross-reactivity and anti-drug antibody development. Conclusions: These findings emphasize the role of bacterial immunoglobulin domains in adalimumab immunogenicity and highlight further need for experimental validation and improved strategies to reduce immune responses in biological therapies.

The study demonstrated that asthma treatment is safe, with no significant side effects compared to past studies of the drug.