Objective To establish the method of thin layer chromatography （TLC） for identification and content quantitative determination of Shugantongluo capsules, and provide methodological reference for the quality control of Shugantongluo capsules. Methods Bupleuriradix, polygala tenuifolia yuanzhi, and acorus tatarinowii rhizoma were identified by TLC qualitatively. The content of Saikosaponin-a was determined by HPLC method. The chromatography was performed on Venusil XBP C₁₈（L） （4.6 mm×150 mm, 5 μm） with a stable temperature of 30℃. The mobile phase in isocratic elution consisted of acetonitrile-water （40∶60, V/V） at the flow rate of 1.0 ml/min with an injection volume of 20 μl. The detection wavelength was set at 210 nm. Results Clear spots were obtained with good separation in TLC identification which was highly specific. The Saikosaponin-a at the range of 25.00-500.0 μg/ml was linear with peak area （r=0.999 9）, the average recovery rate was 97.00%, and RSD was 2.60%. Conclusion These methods was easy to operate with accurate results, with good specificity and reproducibility, which could be uesd for the quality control for Shugantongluo capsules.

Objective To analyze the prevalence status of cardiometabolic risk factor (CMRF) and its aggregation among workers engaged in new forms of employment. Methods A total of 5 429 new employment workers (including couriers, online food delivery workers, and ride hailing drivers) who underwent health medical examinations at a tertiary hospital in Beijing City were selected as the research subjects using the judgment sampling method. Data on waist circumference, blood pressure, blood glucose, and blood lipid levels were collected to analyze their CMRF [central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol (HDL-C)] and their aggregation (with ≥ 2 of the above 5 risk factors) status. Results The detection rates of central obesity, elevated blood pressure, elevated blood glucose, elevated triglycerides, and reduced HDL-C were 61.2%, 38.2%, 29.5%, 40.9% and 22.6%, respectively. The detection rates of CMRF aggregation was 57.8%. The result of multivariable logistic regression analysis showed that male, age ≥45 years, smoking, overweight, and obesity were risk factors for CMRF aggregation (all P<0.05). Conclusion The detection rate of CMRF and its aggregation among workers with new forms of employment in Beijing City is relatively high. Targeted prevention and control efforts should be strengthened for high-risk populations, especially males, workers aged ≥45 years, smokers, and those who are overweight or obese.

The pathogenesis of tinnitus is unclear and may involve the peripheral and central nervous sys-tems.Recent studies have found that neuroinflammatory response leads to hyperactivity of nerve center,in which tumor necrosis factor-α(TNF-α)has an important impact on neurotransmitter transmission,transmembrane ion concentration,neuronal synaptic structure and functional reorganisation,and may play an important role in the path-ogenesis of acute tinnitus.This article discusses the central mechanism of TNF-α in mediating the onset of acute tin-nitus.

Objective:To explore the diagnostic value of fractional flow reserve (FFR) based on optical coherence tomography (OCT) for coronary functional ischemia, and to investigate the feasibility of synchronously obtaining Doppler blood flow velocity information with the help of OCT technology.Methods:This study was a single-center, prospective, self-controlled clinical study on coronary heart disease patients who underwent OCT and FFR assessment at Department of Cardiology, the Second Hospital of Jilin University from January 2024 to February 2025. Linear regression analysis was used to evaluate the correlation and consistency between OCT-FFR and FFR. With FFR≤0.80 as the gold standard for judging whether the target vessel was ischemic, the diagnostic performance of OCT-FFR was evaluated, and the diagnostic value of OCT-FFR for significant coronary artery ischemia was assessed using subject operating characteristic curves. Blood flow OCT data were analyzed by Doppler processing algorithm to obtain information on coronary blood flow velocity.Results:A total of 31 vessels from 28 patients were analyzed, the correlation coefficient r between OCT-FFR and FFR of the 31 vessels was 0.84 ( P<0.001). With FFR as the gold standard to determine whether a coronary artery is ischemic, accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for OCT-FFR was 93.55%, 75.00%, 100.00%, 1.00, 0.92. In clinical practice, Doppler OCT was used for the first time to obtain information on coronary blood flow velocity. Conclusion:OCT-FFR had an excellent correlation and consistency with FFR in judging whether there is coronary artery ischemia. The feasibility of the simultaneous acquisition of OCT-FFR and Doppler flow velocity information in coronary stenosis was preliminarily verified.

Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

Objective To analyze the possible mechanism and drug treatment plan of diffuse alveolar hemorrhage induced by human granulocyte colony-stimulating factor injection, point out medication risks and provide reference for medical treatment and pharmaceutical care of such patients. Methods The abnormal lung conditions of a patient treated with human granulocyte colony-stimulating factor injection was found by clinical pharmacists, who participated in clinical diagnosis and treatment by analyzing of adverse drug reactions, optimization of medical treatment and pharmaceutical care. Results Diffuse alveolar hemorrhage was likely an adverse drug reaction caused by human granulocyte colony-stimulating factor injection. The physician discontinued the medication immediately and provided treatment such as oxygen inhalation, high-dose hormone shock, plasma exchange, etc. The patient’s oxygen saturation was improved, alveolar bleeding was decreased, and the condition was improved. Conclusion Clinical pharmacists participate in patients’ medication treatment, carry out pharmaceutical guardianship, and assist physicians in adjusting treatment plans, which could contribute to the effectiveness and safety of patient treatment.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Lacking therapeutic targets highlights the crucial roles of chemotherapy and radiotherapy in the clinical management of triple-negative breast cancer (TNBC). To relieve the side effects of the chemoradiotherapy combination regimen, we design and develop a self-assembled micelle nanosystem consisting of perfluorocarbon chain-modified cisplatin prodrug. By incorporating perfluorodecalin, this nanosystem can effectively carry ozone and promote irradiation-derived reactive oxygen species (ROS) production. By leveraging the perfluorocarbon sidechain, the nanosystem exhibits efficient internalization by TNBC cells and effectively escapes from lysosomal entrapment. Under X-ray irradiation, ozone-generated ROS disrupts the intracellular redox balance, thereby facilitating the release of cisplatin in a reduction-responsive manner mediated by reduced glutathione. Moreover, oxygen derived from ozone decomposition enhances the efficacy of radiotherapy by alleviating tumor hypoxia. Notably, the combination of irradiation with ozone-loaded cisplatin prodrug nano system synergistically prompts antitumor efficacy and reduces cellular/systemic toxicity in vitro and in vivo. Furthermore, the combo regimen remodels the tumor microenvironment into an immune-favored state by triggering immunogenic cell death and relieving hypoxia, which provides a promising foundation for a combination regimen of immunotherapy. In conclusion, our nanosystem presents a novel strategy for integrating chemotherapy and radiotherapy to optimize the efficacy and safety of TNBC clinical treatment.

Alternative splicing (AS) serves as a fundamental regulatory mechanism in gene expression, contributing to proteomic diversity by generating an array of mRNA isoforms from precursor mRNA via distinct splice site combinations. In light of the limited therapeutic options currently available, the exploration of AS as a target for drug development is of paramount importance. This review offers an exhaustive analysis of the biological functions and underlying molecular mechanisms associated with various AS-induced splice variants, RNA-binding proteins, and cis-elements, highlighting their significance as clinical biomarkers. We place particular emphasis on the current therapeutic applications of AS in an array of lung diseases, including but not limited to lung cancer, cystic fibrosis, silicosis, acute respiratory distress syndrome, pneumonia, asthma, chronic obstructive pulmonary diseases, pulmonary arterial hypertension, and idiopathic pulmonary fibrosis. The review delves into the role of AS events in the diagnosis and treatment of lung diseases, focusing on the regulatory influence of splicing factors and RNA-binding proteins, while also enumerating the mutated components implicated in AS misregulation. Consequently, a comprehensive understanding of the intricate mechanisms governing these splicing events could potentially offer novel avenues for the development of splicing-targeted therapeutics and diagnostic tools for the prevention and treatment of lung diseases.

Objective To systematically analyze the changes in clinical indicators including blood leukocytes and neutrophils,liver and kidney functions,coagulation function,lipids,and levels of thyroid hormones and antibodies in Graves'ophthalmopathy(GO)patients who had undergone effective treatment with tocilizumab(TCZ)and to explore their clinical significance.Methods Eighty-five patients with moderately or severely active GO who were effectively treated with TCZ were enrolled.Early morning fasting blood was collected and tested for routine blood,biochemical routine,coagulation function,thyroid hormone and antibodies,and basic information such as gender,age,duration of the disease,history of smoking,comorbidities,and medications were also collected from all patients,so changes in the clinical indicators before and after the treatment could be analyzed and correlation analyses could be carried out.Results Patients with moderately to severely active GO treated with TCZ showed a significant decrease in absolute blood leukocyte and neutrophil values compared with before,and a significant decrease in liver function(alanine transaminase,aspartate aminotransferase,creatinine),cholesterol(total cholesterol,high-density lipoprotein and low-density lipoprotein)levels were significantly higher than before,and concentrations of coagulation parameters[prothrombin time,activated partial thromboplastin time,fibrinogen(FIB)and D-dimer]were significantly decreased.The concentrations of thyroid hormone and thyroid-stimulating hormone levels increased significantly,and the antibody titer of thyrotropin receptor antibody(TRAB)was significantly down-regulated after treatment.TRAB levels were significantly correlated with FIB before treatment.Conclusion Thyroid function and antibody levels improved after TCZ treatment in patients with moderately to severely active GO,but blood leukocytes,liver function and coagulation function changed significantly compared with before.The results of this study confirm the therapeutic effect of TCZ on immune disorders in GO ophthalmopathy,while underscoring the importance of monitoring potential adverse effects in clinical treatment.