OBJECTIVE To explore the effects of isorhamnetin on the development of gastric cancer through up-regulation of solute carrier family 25 member 25 antisense RNA 1（SLC25A25-AS1）. METHODS Using BALB/c nude mice as the subjects， the xenograft tumor model was established by subcutaneously inoculating human gastric cancer MKN28 cells into the axillary region. The effects of low and high doses of isorhamnetin （20 and 40 mg/kg） on the tumor volume and mass in nude mice were investigated. MKN28 cells were selected and divided into control group， isorhamnetin group （70 μmol/L， similarly hereinafter）， isorhamnetin+knocking down negative control group， isorhamnetin+knocking down SLC25A25-AS1 group， isorhamnetin+ overexpression negative control group and isorhamnetin+overexpressing SLC25A25-AS1 group. Effects of knocking down/ overexpressing SLC25A25-AS1 on viability， apoptosis， migration and invasion ability of isorhamnetin-treated cells were detected. After verifying the targeting relationships between microRNA-212-3p （miR-212-3p） and SLC25A25-AS1， as well as phosphatase and tensin homologue deleted on chromosome 10 （PTEN）， the effects of knocking down/overexpressing SLC25A25-AS1 on the expression of miR-212-3p， PTEN mRNA， and PTEN protein in isorhamnetin-treated cells were investigated. RESULTS Compared with the model control group， tumor volume and mass of nude mice in the isorhamnetin low-dose and high-dose groups were reduced significantly， and the isorhamnetin high-dose group was significantly lower than the isorhamnetin low-dose group （P＜0.05）. miR-212-3p had targeting relationships with SLC25A25-AS1 and PTEN. Compared with the control group， the cell viability （intervened for 24， 48 h）， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin group， isorhamnetin+knocking down negative control group and isorhamnetin+overexpressing negative control group were significantly reduced or decreased or down-regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly increased or up-regulated （P＜0.05）. Compared with isorhamnetin group and isorhamnetin+knocking down negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin+knocking down SLC25A25-AS1 group were significantly increased or up- regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly reduced or down-regulated （P＜ 0.05）. Compared with isorhamnetin group and isorhamnetin+overexpressing negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in isorhamnetin+overexpressing SLC25A25-AS1 group were significantly reduced or decreased or down-regulated， while the apoptosis rate， PTEN mRNA and protein expressions were significantly increased or up-regulated （P＜0.05）. CONCLUSIONS Isorhamnetin may inhibit the development of gastric cancer by up-regulating the expression of SLC25A25-AS1， down-regulating miR-212-3p， and up-regulating the expression of PTEN， which is a downstream target of miR-212-3p.

With the continuous development of refractive surgery, people's focus has gradually shifted from improving vision to improving visual quality, and personalized laser-assisted in situ keratomileusis(LASIK)surgery has gradually become people's preferred choice. Femtosecond laser-assisted keratoplasty provides better advantages for personalized LASIK surgery. This article mainly introduces the commonly used femtosecond laser-assisted personalized LASIK surgery(FS-LASIK)in recent years, such as wavefront-optimized, wavefront-guided, topography-guided, Q value-guided(aspheric cutting), personalized surgery “Wavelight Plus” and personalized surgery when correcting patients with age-related inadequate accommodation. This article focuses on analyzing the advantages and disadvantages of different personalized FS-LASIK, as well as the research progress in recent years, and also focuses on comparing the differences between different personalized surgeries.

Total-body PET/CT, with its long axial field of view and high sensitivity detector, has shown potential for reducing the dose of radiopharmaceuticals. However, pediatric patients are significantly more sensitive to radiation and have a higher long-term cancer risk than adults, posing fundamental challenges for dose management in PET/CT examinations for these patients. In this article, the technical characteristics of total-body PET/CT and its radiation exposure status in children were systematically analyzed. The radiation exposure could be controlled by the following optimization strategies: adjusting the CT exposure parameters, optimizing the scanning mode, adding reconstruction algorithm, and reducing the injected dose of radioactive tracer. By addressing both external and internal radiation during the PET/CT scanning process, the overall radiation dose received by pediatric patients can be reduced within a certain range. In addition, this article also discusses the technical differences between “total-body” and “whole-body” concepts, and emphasizes that the future optimization of radiation dose in pediatric PET/CT should be realized by integration of personalized scanning protocols. Through reasonable management of scanning protocols and processes, low-dose and high-quality PET/CT imaging can be achieved in clinical environments, thus maximizing protection of pediatric patient health while minimizing the risks associated with ionizing radiation exposure.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

Lung cancer is currently one of the most common malignant tumors. Some lesions of non-small cell lung cancer (NSCLC) can transform into small cell lung cancer (SCLC) under certain conditions. Clinical reports on such cases are relatively few due to the low transformation rate. This article aims to review the mechanisms, imaging features, treatments, and prognosis of NSCLC transformation into SCLC on the basis of recent research literature, to facilitate the diagnosis of lung cancer.

Idiopathic pulmonary fibrosis （IPF）， as a progressive lung disease， has a poor prognosis and no reliable and effective therapies. IPF is mainly treated by organ transplantation and administration of chemical drugs， which are ineffective and induce side effects， failing to meet the clinical needs. Therefore， developing safer and more effective drugs has become an urgent task， which necessitates clear understanding of the pathogenesis of IPF. The available studies about the pathogenesis of IPF mainly focus on macrophage polarization， epithelial-mesenchymal transition （EMT）， oxidative stress， and autophagy， while few studies systematically explain the principles and links of the pathogeneses. According to the traditional Chinese medicine theory， Qi deficiency and blood stasis and Qi-Yang deficiency are the key pathogeneses of IPF. Therefore， the Chinese medicines or compound prescriptions with the effects of replenishing Qi and activating blood， warming Yang and tonifying Qi， and eliminating stasis and resolving phlegm are often used to treat IPF. Modern pharmacological studies have shown that such medicines play a positive role in inhibiting macrophage polarization， restoring redox balance， inhibiting EMT， and regulating cell autophagy. However， few studies report how Chinese medicines regulate the pathways in the treatment of IPF. By reviewing the latest articles in this field， we elaborate on the pathogenesis of IPF and provide a comprehensive overview of the mechanism of the active ingredients or compound prescriptions of Chinese medicines in regulating IPF. Combining the pathogenesis of IPF with the modulating effects of Chinese medicines， we focus on exploring systemic treatment options for IPF， with a view to providing new ideas for the in-depth study of IPF and the research and development of related drugs.

Objective To explore the development and validation of a prediction model for severe communi-ty-acquired pneumonia in adults based on peripheral blood inflammatory indicators.Methods Venous blood samples of 204 community-acquired pneumonia in adults patients admitted to 7 hospitals in Chongqing area from April 2021 to August 2022 were collected to detect C-reactive protein(CRP),peripheral white blood cell count(WBC),neutrophil to lymphocyte ratio(NLR),cytokines,lymphocyte subgroups and neutrophil CD64 index.All of patients were divided into a training group and a validation group according to the time of admis-sion.Univariate and multivariate Logistic regression were used to analyze the data of the training group,the characteristic factors of severe progression for pneumonia were selected to construct the nomogram model,and the data of the validation group was used to verify the model.The receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the prediction ability of the model for severe community-acquired pneumonia in adults.Results Logistic regression analysis showed that age,CRP,WBC,interleukin(IL)-4/interferon gamma ratio and IL-6/IL-10 ratio were independent risk factors for severe community-acquired pneumonia in adults.The area under the ROC curve of the nomogram model in the training group and the validation group was 0.893 and 0.880,respectively.The calibration curve and DCA results shown that the model had a good prediction effect for severe community-acquired pneumonia in adults.Conclusion The inflammatory indicators included in this model are simple and easy to obtain clinically.This model with good differentiation and accuracy,it can be used as a practical tool to predict severe community-ac-quired pneumonia in adults,and has certain clinical application value.

Objective To evaluate the noise hazard level of a coal mining enterprise, and identify high-risk operation types and people, and to provide a basis for preventing and controlling the health damage caused by noise. Methods A large coal mining enterprise in Shaanxi Province was selected as the research object. The noise monitoring data of the coal mine over the years was used to calculate the noise exposure matrix of each post in the enterprise, and the classification of occupational hazards at workplaces (GBZ/T 229.4-2012) was used to assess the occupational health risk levels. Results Among the 22 noise-exposed positions in the enterprise, the 8-hour working day equivalent sound level in positions of shearer driver, horseshoe driver, crusher driver, shuttle driver, relaxation screen driver, and grading screen driver were all higher than the occupational exposure limit of noise. In 2021, the noise exposure levels of shearer drivers, crusher drivers, and coal-selecting workers were all higher than 90 dB (A), and the occupational hazard level was moderate hazard level. In addition, the noise exposure levels of most other jobs also exceeded the occupational exposure limit. Conclusion The noise hazards in the coal mine industry are mainly concentrated in the posts of the coal mining system, tunneling system, and screening workshop. Among them, the shearer driver, the crusher driver, and the coal preparation workers have higher noise exposure levels. It is recommended to take corresponding noise reduction measures and strengthen the protection level to reduce the noise exposure risk of workers.

In the past few decades, the global obesity population has been increasing, and still has an upward trend. With obesity, the risk of cardiovascular and cerebrovascular diseases has increased. It’s found that an increase in body mass index is associated with the occurrence of some cardiovascular and cerebrovascular diseases Hypertension and hyperlipidemia, as common chronic cardiovascular diseases, are particularly affected by obesity, which has attracted extensive attention in recent years. Moreover, the occurrence of hypertension and hyperlipidemia under the influence of obesity is significantly related, and their synergy can also cause a variety of cardiovascular and cerebrovascular diseases. However, there is still less work to study these three factors at the same time. Therefore, on the basis of summarizing the molecular mechanisms of obesity affecting hypertension and hyperlipidemia, this paper summarizes the relevant molecular mechanisms of hypertension and hyperlipidemia under the influence of obesity, and points out the co-acting molecules, providing a reference for future research on cardiovascular and cerebrovascular diseases.

This article presents a case report of right vocal cord paralysis resulting from herpes simplex virus infection in an older adult. The patient initially presented with fever, blisters on the lips and right cheek, followed by the gradual onset of hoarseness and difficulty in swallowing. Laryngoscopy revealed fixation of the right vocal cord while the left vocal cord exhibited normal movement. A high level of herpes simplex virus type 1 IgM antibody was detected during the disease progression. Treatment involving mid-dose glucocorticoid and methylcobalamin neurotrophic therapy, swallowing and vocal rehabilitation training, as well as enteral nutrition support, led to alleviation of hoarseness and improved ability to drink water in small sips. Follow-up laryngoscopy indicated partial restoration of movement in the right vocal cord. The article not only outlines the diagnosis and treatment of this case but also reviews relevant literature to broaden clinicians' knowledge of viral-induced vocal cord paralysis in the elderly. It also emphasizes the importance of a geriatric interdisciplinary team in managing complex diseases in older patients.