Background: Molecular epidemiological studies have sought associations between interleukin-6 (IL-6) polymorphisms and the risk of systemic lupus erythematosus (SLE); however, the results are controversial. Therefore, we conducted a meta-analysis with trial sequential analysis to evaluate a more accurate estimation of the associations.
Methods: Published literatures reporting the relationships of two IL-6 polymorphisms (G-174C and G-572C) and SLE risk were retrieved from electronic databases such as PubMed and EMBASE. The most appropriate genetic model was chosen for each polymorphism. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Trial sequential analysis (TSA) was introduced to assess the information size and the positive results.
Results: With 17 studies (2780 cases and 3100 controls) included, a dominant association (CC+GC vs. GG) was suggested for G-174C polymorphism, and compared with the GG genotype, the CC+GC genotype of G-174C was associated with a decreased SLE risk (OR = 0.71; 95% CI = 0.56-0.88, P =.02). No association was found for G-572C under all genetic models (e.g. OR and 95%CI for CC+GC vs. GG: 0.89, 0.73-1.08, P =.22). Subgroup analyses indicated that SLE risk decreased in G-174C polymorphism by subgroups of Caucasian population, publications after 2010, studies with high quality, and studies complied with Hardy-Weinberg equilibrium (HWE). TSA suggested that the sample sizes used for G-572C were insufficient.
Conclusion: We found that the minor allele C of IL6G-174C polymorphism is a protective factor in SLE. Further studies with a larger sample size are needed to confirm the null association for G-572C.
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http://dx.doi.org/10.1080/08820139.2020.1769646 | DOI Listing |
Expert Rev Respir Med
January 2025
Fondazione Istituto "G. Giglio" Cefalù, Cefalù, Italy.
Introduction: To evaluate the effectiveness of noninvasive positive pressure ventilation (NPPV) versus standard therapy in severe asthma exacerbations through meta-analysis.
Methods: Nine randomized controlled trials (344 patients) were analyzed from inception to August 2024. Primary outcomes included respiratory rate, forced expiratory volume in first second (FEV1), and oxygen saturation (SpO2).
Artif Organs
January 2025
Laboratory for Immune Response and Regulatory Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Background: The pathogenesis of sepsis is thought to be linked to a dysregulated immune response, particularly that involving neutrophils. We have developed a granulocyte adsorption column as a "decoy organ," which relocates the massive inflammation in organs in the body to a blood purification column. This study was conducted to assess the safety and experimental effectiveness of granulocyte monocyte adsorption apheresis-direct hemoperfusion (G1-DHP) in the treatment of patients with sepsis, using a prospective, multicenter design.
View Article and Find Full Text PDFHand (N Y)
January 2025
Department of Surgery, Division of Plastic Surgery, McMaster University, Hamilton, ON, Canada.
Background: Immunization clinics present an opportunity for passive screening for malnutrition among young children through plotting of growth charts. Passive screening for malnutrition can enable timely interventions and improve morbidity and mortality of under-five children. Therefore, we aimed to increase the plotting of growth charts (weight-for-age) to 90%, among under-five children attending immunization clinics in an Urban Health Centre (UHC) in south Delhi over three months.
View Article and Find Full Text PDFCommun Biol
January 2025
Instituto de Fisiología, Facultad de Ciencias, Universidad de Valparaíso, Valparaíso, Chile.
During spatial learning, subjects progressively adjust their navigation strategies as they acquire experience. The medial prefrontal cortex (mPFC) supports this operation, for which it may integrate information from distributed networks, such as the hippocampus (HPC) and the posterior parietal cortex (PPC). However, the mechanism underlying the prefrontal coordination with HPC and PPC during spatial learning is poorly understood.
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