This study was done to evaluate the relation between the level ofleptin, prolactin, IL-4 and IL-5 with the activity of Rheumatoid Arthritis (RA) and Lupus erythematosus (SLE). The study included 33 patients divided into two groups. Group 1 included twenty-one patients with Juvenile rheumatoid arthritis (13 males and 8 females) with age 11.9 +/- 3.6 years and twelve patients with systemic lupus erythematosus were enrolled as group 2 (2 males and 10 females) with age 15.8 +/- 2.9 years. Twenty-one healthy children with matched age, sex and anthropometrics measures were included in the study to serve as control group (group 3). There were significant increases in the levels of Leptin (<0.038), Prolactin (p < 0.021) IL-4 (p < 0.005) in Juvenile Rheumatoid Arthritis group with insignificant decrease in IL-5 (p < 0.724) in comparison to control group. Systemic Lupus group show a significant increase in level of Leptin (p < 0.05), Prolactin (p < 0.02) and IL-4 (p < 0.000) with an insignificant increase in IL-5 (p < 0.685) in comparison to control group. RA patients show a positive significant correlation between Prolactin, IL-5 and activity with negative insignificant correlation between IL-4 and activity. Where in Lupus patients there was a positive significant correlation between Prolactin, IL-4 and activity with negative insignificant correlation between IL-5 and activity. There was no correlation between Leptin and activity in both diseases (RA, SLE). There's a highly significant positive correlation between serum Leptin levels and BMI among all patients of RA and Lupus (p < 0.000, p < 0.003), respectively. There was a difference in the Leptin level between male and female patients with a significant increase in the female than male (p < 0.05). We can conclude from our results that Leptin cannot be used to assess disease activity in RA and SLE where Prolactin can be used to assess disease activity in RA and SLE.
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http://dx.doi.org/10.3923/pjbs.2007.1984.1989 | DOI Listing |
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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