Medicine
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Observational Study
Exploring the mechanism of action of Bidens pilosa L. in combating hepatic fibrosis through network pharmacology and molecular docking: An observational study.
Based on network pharmacology and molecular docking methods, to explore the possible targets and mechanisms of Bidens pilosa L. in treatment of liver fibrosis. The TCMSP, GeneCard, OMIM, TTD and DrugBank databases were used to obtain the targets of Bidens pilosa L and liver fibrosis, than the intersection targets were screened out by Venny 2.1.0, the protein-protein interaction (PPI) network and the core targets were obtained by the STRING database. Use Cytoscape3.7.2 software to draw the "traditional Chinese medicine-component-target-disease" network. ⋯ Pathways acting on cancer, fluid shear stress and atherosclerosis, lipids and atherosclerosis, PI3K-AKT signaling pathway, MAPK signaling pathway and other signaling pathways. Molecular docking showed that the active components of Bidens pilosa L. displayed good binding activity with core target proteins, and the average binding energy was -7.47 kcal/mol. The possible mechanism of the active components against liver fibrosis is to regulate the PI3K-AKT, MAPK, and other signaling pathways by acting on core targets such as PIK3R1, HSP90AA1, SRC, TP53, AKT1, RELA, and induce the apoptosis of activated HSC cells to reverse and improve liver fibrosis.
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Small intestinal neuroendocrine tumors (SI-NETs) are a group of rare and significantly heterogeneous tumors with limited research currently available. This study aimed to investigate the incidence, survival, and prognostic factors of SI-NETs. We selected data from the surveillance, epidemiology, and end results (SEER) database between 2000 and 2019 and evaluated the incidence trend of SI-NETs during this period. ⋯ The nomogram model based on these risk factors showed high accuracy and clinical benefit. SI-NETs are rare tumors with an increasing incidence rate. The nomogram model is expected to be an effective tool for personalized prognosis prediction in SI-NETs patients, which may benefit clinical decision-making.
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Reports of mature cystic teratomas (MCTs) with associated complications and changes in serum cancer antigen levels are rare. Herein, we report a rare case of MCT with associated complications (rupture and malignant transformation), high levels of serum cancer antigens (CA19-9, CA12, and CEA), and surgical therapy. ⋯ The study aims to report a new case of MCT with associated complications (rupture and malignant transformation) and changes in serum cancer antigen levels. Although this tumor presents as a complex solid cystic mass, detection of the intratumoral fat component is a key diagnostic imaging feature. A high level of serum cancer antigen may indicate the malignant transformation of MCT. In this case, surgery was an effective treatment for the MCT.
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To investigate the causal relationship between sleep duration and heart failure (HF) in a European population. We focused on the continuous sleep duration of 460,099 European individuals as our primary exposure. Genome-wide significant single nucleotide polymorphisms (SNPs, n = 9851,867) linked to continuous sleep duration were adopted as instrumental variables. ⋯ These conclusions were further bolstered by consistent results from sensitivity analyses. Our study suggests a causal linkage between sleep duration and the onset risk of HF in the European population. Notably, shorter sleep durations were associated with a heightened risk of HF.
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Using genome-wide association study data from European populations, this research clarifies the causal relationship between plasma metabolites and age-related macular degeneration (AMD) and employs Metabo Analyst 5.0 for enrichment analysis to investigate their metabolic pathways. Employing Mendelian randomization analysis, this study leveraged single nucleotide polymorphisms significantly associated with plasma metabolites as instrumental variables. This approach established a causal link between metabolites and AMD. ⋯ This pioneering MR study has unraveled the causal connections between plasma metabolites and AMD. It identified several metabolites with a causal impact on AMD, with 3 maintaining significance after FDR correction. These insights offer robust causal evidence for future clinical applications and underscore the potential of these metabolites as clinical biomarkers in AMD screening, treatment, and prevention strategies.