Medicine
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Primary open-angle glaucoma (POAG) is a common ocular disease, and there is currently no effective treatment for POAG therapy. Thus, identifying some effective diagnostic markers is beneficial to the treatment of patients. The expression profile was obtained from Gene Expression Omnibus (GEO) database. ⋯ Hub genes were all targeted by 16 miRNAs. Drug sensitivity analysis exhibited that some drugs were more sensitivity for POAG, such as Acetalax_1804, Ibrutinib_1799 and OSI_027_1594. We identified 5 oxidative stress-related genes with high diagnostic value for POAG.
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Observational Study
Nonlinear association of alkaline phosphatase-to-albumin ratio with all-cause and cancer mortality: Evidence from NHANES 2005 to 2016.
The relationship between the alkaline phosphatase-to-albumin ratio (APAR) and mortality remains unclear. This research looked into the association between APAR levels and cause-specific mortality in US adults. A cohort of 7561 participants from National Health and Nutrition Examination Survey (2005-2016) was analyzed, with mortality outcomes collected from National Death Index records. ⋯ Thresholds of 1.289 and 2.167 might serve as potential targets for APAR to reduce all-cause and cancer mortality, respectively. Our findings suggest that APAR can be a valuable prognostic tool for clinical mortality risk assessments, helping to identify individuals at higher risk. Nevertheless, these findings necessitate validation through large-scale clinical trials for further substantiation.
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Gouty arthritis is a metabolic condition caused by disordered purine metabolism and elevated uric acid levels. This study adopts a bibliometric approach to analyze current research on pain in gouty arthritis and forecast future research trends. ⋯ This bibliometric study reveals that research on gouty arthritis pain is actively developing. Current hot topics reflect investigations into the deeper pathological mechanisms of gouty arthritis and the development of new treatment methods, including urate-lowering therapies. There is also increasing attention on the role of gut microbiota in the disease. Despite limitations such as the preliminary nature of research methods and insufficient interdisciplinary collaboration, future research directions aim to improve the rigor of research design, strengthen international cooperation, promote unified treatment guidelines, and optimize the diagnosis and treatment of gouty arthritis with new technologies like artificial intelligence, precision medicine, and nanomedicine. This will drive the field towards a deeper scientific understanding, more effective treatment methods, and more comprehensive disease management, ultimately improving patients' prognosis and quality of life.
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Childhood neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD), attention-deficit hyperactivity disorder, and Tourette syndrome, are a predominant cause of health-related disabilities in children and adolescents. Nevertheless, disease biomarkers are still limited. The aim of this study was to evaluate the potential, causal relationship between mitochondrial DNA copy number (mtDNA-CN), metabolic disorders, and childhood NDDs using the two-sample Mendelian randomization (MR) method. ⋯ Results of the study suggested that a high degree of disordered lipoprotein metabolism related increases in ASD risk result from a decrease in mtDNA-CN (disordered lipoprotein metabolism-mtDNA: inverse variance weighting β: -0.03, 95% confidence interval: -0.05 to -0.02, P = 2.08 × 10-5; mtDNA-CN-ASD: inverse variance weighting odds ratio: 0.83, 95% confidence interval: 0.69-0.99, P = .034). The research findings implied that mtDNA-CN can mediate disorders of lipoprotein metabolism, potentially influencing the development of ASD. The potential impact of the results of this study for the prevention and treatment of childhood NDDs warrants validation in robust randomized clinical trials.
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Observational Study
Deciphering sepsis: An observational bioinformatic analysis of gene expression in granulocytes from GEO dataset GSE123731.
Sepsis triggers severe inflammatory responses leading to organ dysfunction and demands early diagnostic and therapeutic intervention. This study identifies differentially expressed genes (DEGs) in sepsis patients using the Gene Expression Omnibus database to find potential diagnostic and therapeutic markers. We analyzed the dataset GSE123731 via GEO2R to detect DEGs, constructed protein-protein interaction networks, and performed transcription factor analyses using Cytoscape. ⋯ Cytokine signaling pathways were highlighted in Kyoto Encyclopedia of Genes and Genomes analysis. Co-immunoprecipitation assays confirmed interactions involving matrix metallopeptidase 8, matrix metallopeptidase 9, and arginase 1, supporting their roles as biomarkers. The identified DEGs and validated interactions reveal crucial molecular mechanisms in sepsis, offering new avenues for diagnostic and therapeutic strategies, potentially enhancing patient outcomes.