Unlike hemocarboperfusion (HCP), plasmapheresis (PA) produces a long-term effect in the treatment of serious cases of rheumatoid arthritis. This explains why the rebound syndrome occurs in PA two times less frequently. The analysis of the immunomodifying action of both the treatments and comparison of their efficacy suggest the conclusion that long-term and complete remissions are associated with the immunosuppressive effects, while the development of exacerbations accompanies the immunomodifying effect. HCP stimulates the immune system, while PA can induce both stimulation and suppression. Therefore, HCP can be used as an adjuvant treatment of highly active rheumatoid arthritis before the basic therapy. In PA immunosuppressive effect, it may be used as an original treatment method.
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Arthritis Res Ther
January 2025
Scientific Research Center, China-Japan Union Hospital of Jilin University, Changchun, Jilin, 130033, China.
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation, tissue damage, and fibrosis, significantly affecting the quality of life. While there are currently some effective treatments available, they often come with side effects. There is an urgent need to find new treatments that can further improve therapeutic outcomes and reduce side effects.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
This study aims to elucidate the potential genetic commonalities between metabolic syndrome (MetS) and rheumatic diseases through a disease interactome network, according to publicly available large-scale genome-wide association studies (GWAS). The analysis included linkage disequilibrium score regression analysis, cross trait meta-analysis and colocalisation analysis to identify common genetic overlap. Using modular partitioning, the network-based association between the two disease proteins in the protein-protein interaction set was divided and quantified.
View Article and Find Full Text PDFClin Rheumatol
January 2025
Department of Interventional Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, People's Republic of China.
Objectives: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) patients remains a challenge. Traditional approaches combining clinical assessments and ultrasonography (US) often lack accuracy due to the complex interaction of clinical variables, and routine extensive US is impractical. Machine learning (ML) models, particularly those integrating the 18-joint ultrasound scoring system (US18), have shown potential to address these issues but remain underexplored.
View Article and Find Full Text PDFBiomed Microdevices
January 2025
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Wearable and implantable biosensors have rapidly entered the fields of health and biomedicine to diagnose diseases and physiological monitoring. The use of wired medical devices causes surgical complications, which can occur when wires break, become infected, generate electrical noise, and are incompatible with implantable applications. In contrast, wireless power transfer is ideal for biosensing applications since it does not necessitate direct connections between measurement tools and sensing systems, enabling remote use of the biosensors.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan; Institute of NanoEngineering and Microsystems, National Tsing Hua University, Hsinchu, Taiwan. Electronic address:
Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint damage and progressive destruction of adjacent cartilage and bones. Quick and accurate detection of rheumatoid factors (RF) and anti-cyclic citrullinated peptide antibodies (anti-CCP) in serum is effective in diagnosing RA and preventing its progression. However, current methods for detecting these two biomarkers are costly, time-consuming, labor-intensive, and require specialized equipment.
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