Macrophages are the most important innate immune cells in humans. They are almost ubiquitous in peripheral tissues with a large variety of different mechanical milieus. Therefore, it is not inconceivable that mechanical stimuli have effects on macrophages. Emerging as key molecular detectors of mechanical stress, the function of Piezo channels in macrophages is becoming attractive. In this review, we addressed the architecture, activation mechanisms, biological functions, and pharmacological regulation of the Piezo1 channel and review the research advancements in functions of Piezo1 channels in macrophages and macrophage-mediated inflammatory diseases as well as the potential mechanisms involved.

Cancer is a major disease with ever-increasing morbidity and mortality. The metabolites derived from traditional Chinese medicine (TCM) have played a significant role in combating cancers with curative efficacy and unique advantages. Ferroptosis, an iron-dependent programmed death characterized by the accumulation of lipid peroxide, stands out from the conventional forms of cell death, such as apoptosis, pyroptosis, necrosis, and autophagy. Recent evidence has demonstrated the potential of TCM metabolites targeting ferroptosis for cancer therapy. We collected and screened related articles published in or before June 2023 using PubMed, Google Scholar, and Web of Science. The searched keywords in scientific databases were ferroptosis, cancer, tumor, traditional Chinese medicine, botanical drugs, and phytomedicine. Only research related to ferroptosis, the metabolites from TCM, and cancer was considered. In this review, we introduce an overview of the current knowledge regarding the ferroptosis mechanisms and review the research advances on the metabolites of TCM inhibiting cancer by targeting ferroptosis.

Objective. The aim of the study was to assess the effectiveness of the implementation of the best evidence in preventing postoperative sore throat in patients undergoing general anesthesia intubation. Methods. The related topics of the postoperative sore throat of patients undergoing general anesthesia intubation were systematically searched in the database and evaluated using the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework. Combined with clinical needs and evidence-based professional judgment, 20 pieces of evidence and 6 examination standards on the management process and evidence implementation plan for the prevention of postoperative sore throat in patients with general anesthesia intubation are summarized, implementing the best evidence into clinical practice in anesthesiology, general surgery, orthopedics, thoracic surgery, and gynecology. Results. Nurses’ knowledge scores and evidence compliance significantly improved after the implementation of the best evidence ( ); the incidence of the postoperative sore throat in patients undergoing general anesthesia intubation decreased from 41.7% to 28.1%. Conclusion. The i-PARIHS framework effectively prevents postoperative sore throat in patients, providing an effective case for translating evidence into practice based on the i-PARIHS framework.

Objective To analyze the influencing factors of revascularization in patients with coronary heart disease after PCI, and to construct a Nomo diagram model of revascularization in patients with coronary heart disease after PCI and conduct internal verification. Methods Patients with coronary heart disease who underwent PCI in the National Key Specialty Cardiology Department of a tertiary and first-class hospital in Zhenjiang City from January 2015 to November 2015 were retrospectively collected as the research subjects. Multivariate Logistic regression was used to analyze the influencing factors of repeat revascularization after PCI in patients with coronary heart disease, and a nomogram model was established to predict the risk of repeat revascularization after PCI in patients with coronary heart disease. The predictive performance of the model was internally validated using ROC curves. Results Multivariate analysis showed that poor daily life behaviors [OR=4.208, 95%CI(1.828, 9.686)], high risk of coronary heart disease specific index [OR=3.308, 95%CI(1.157, 9.453)], high fat Hyperemia [OR=7.262, 95%CI(3.236, 16.296)], multivessel disease [OR=2.691, 95%CI(1.061, 6.822); OR=6.068, 95%CI(2.467, 14.925)] was coronary heart disease The independent risk factors of revascularization in patients (P<0.05) were included in the model. Model internal validation AUC value was 0.830 [95%CI (0.782, 0.870), P<0.05], Youden index was 0.5530, specificity was 85.48%, sensitivity was 69.81%, and cut-off value was 122.39 points. Conclusion The main influencing factors of poor daily living behavior, high risk of coronary heart disease-specific index, hyperlipidemia and multivessel disease, the nomogram model established based on the above factors has good predictive performance.