Medicine
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Periodontitis is increasingly associated with heart failure, and the goal of this study was to develop and validate a prediction model based on machine learning algorithms for the risk of heart failure in middle-aged and elderly participants with periodontitis. We analyzed data from a total of 2876 participants with a history of periodontitis from the National Health and Nutrition Examination Survey (NHANES) 2009 to 2014, with a training set of 1980 subjects with periodontitis from the NHANES 2009 to 2012 and an external validation set of 896 subjects from the NHANES 2013 to 2014. The independent risk factors for heart failure were identified using univariate and multivariate logistic regression analysis. ⋯ K-nearest neighbor model got the best prediction performance across all models. Out of 6 machine learning models, the K-nearest neighbor algorithm model performed the best. The prediction model offers early, individualized diagnosis and treatment plans and assists in identifying the risk of heart failure occurrence in middle-aged and elderly patients with periodontitis.
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To compare the efficacy, safety, and complications of transurethral 1470 nm diode laser vaporization and plasma kinetic enucleation of prostate (PKEP) in benign prostatic hyperplasia treatment. A retrospective matched-paired comparison of patients treated using transurethral 1470 nm diode laser vaporization (n = 40) or PKEP (n = 40) was conducted. Baseline characteristics, preoperative data, and postoperative outcomes at the 24-month follow-up of the patients were recorded. ⋯ Transurethral 1470 nm diode laser vaporization and PKEP are effective strategies in the treatment of benign prostatic hyperplasia. However, 1470 nm diode laser vaporization offers advantages over PKEP in terms of shortening operation time and reducing intraoperative bleeding. Nonetheless, further research with a larger number of patients and long-term follow-up is necessary to confirm and validate these findings.
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Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide, leading to a pandemic. In China, Xiyanping injection (XYP) has been recommended as a drug for COVID-19 treatment in the Guideline on Diagnosis and Treatment of COVID-19 by the National Health Commission of the People Republic of China and National Administration of Traditional Chinese Medicine (Trial eighth Edition). However, the relevant mechanisms at the molecular-level need to be further elucidated. ⋯ Through effective network pharmacology analysis and molecular docking, this study suggests that XYP contains many effective compounds that may target COVID-19 related signaling pathways. Moreover, the in vitro experiment confirmed that XYP could inhibit the cytokine storm by regulating genes or proteins related to immune and inflammatory responses.
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Cervical cancer (CC) is the fourth most frequently diagnosed cancer and the fourth leading cause of cancer-related death in women. Identifying new biomarkers for the early detection of CC is an essential requirement in this field. CXCL8 was originally discovered because of its role in inflammation by binding to CXCR1 and CXCR2; however, it is now known to play an important role in cancer. In this study, we aimed to evaluate the expression levels of potential biomarkers (CXCL8, CXCR1, and CXCR2) and to explore their diagnostic potential in CC. ⋯ In conclusion, our data demonstrated that combined serum CXCL8, CXCR2, and SCC measurements are helpful for CC diagnosis and can be used as potential biomarkers for the early detection of CC. Cytokines, such as CXCL8 and CXCR2, can be easily measured in most university hospital laboratories and in some private laboratories with a routine test.
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Gastric cancer (GC) is the most aggressive malignant tumor of the digestive tract. However, there is still a lack of effective treatment methods in clinical practice. Studies have shown that dehydroandrographolide (DA) has been shown to have anti-cancer activity in a variety of cancers, but it has not been reported in GC. ⋯ The molecular docking results showed that the 8 hub target genes had an apparent affinity for DA, which could be used as potential targets for DA treatment of GC. The results of this study show that the molecular mechanism by which DA inhibits GC metastasis involves multiple target genes. It may play an essential role in inhibiting the invasion and metastasis of GC by regulating the expression and polymorphism of hub target genes, such as MMP9, MMP12, CTSB, ESRRG, GSTA1, ADHIC, CA2, and AKR1C2.