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.

To explore the clinical significance of decreased serum immunoglobulin (Ig) A levels in patients with IgG4-related disease (IgG4-RD).

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.

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 investigate the epidemiological characteristics and trends of birth defects related to assisted reproductive technology (ART) in Jiangxi Province from 2014 to 2023, and to explore the correlation factors of birth defect occurrence.Methods:A retrospective collection of ART treatment data and follow-up results from January 2014 to December 2023 across 18 reproductive centers in Jiangxi Province was conducted. The trend of birth defects and the rank order of defect types were analyzed. Exact probability methods were used to estimate the 95% confidence intervals ( CI) of the incidence rates, and Poisson regression was applied to identify independent correlation factors. Results:A total of 65 003 ART offspring were included in this study, comprising 2 025 offspring from intrauterine insemination (IUI) and 62 978 from in vitro fertilization and embryo transfer (IVF-ET). The overall incidence of birth defects was 13.46‰ (95% CI: 12.59‰-14.38‰), with 9.38‰ (95% CI: 5.66‰-14.61‰) for IUI and 13.59‰ (95% CI:12.70‰-14.53‰) for IVF-ET. The incidence of birth defects showed a decreasing trend from 2014 to 2023 (17.11‰ to 11.47‰, Ptrend=0.003). The top three birth defect types were circulatory system defects (3.71‰, 95% CI: 3.25‰-4.21‰), musculoskeletal system defects (2.37‰, 95% CI: 2.01‰-2.77‰), and congenital malformations of the face, ears, eyes, and neck (1.23‰, 95% CI: 0.98‰-1.53‰). Univariate analysis indicated that male offspring from IVF-ET had a higher incidence of birth defects than that in female offspring (14.72‰ vs. 12.31‰, P=0.009). Additionally, gestational age, birth weight, fetal number, cause of infertility, and year of delivery were significantly associated with birth defect incidence in IVF-ET offspring ( P<0.001, P<0.001, P<0.001, P=0.025, P=0.037). Multivariate analysis showed that in singleton pregnancies, male offspring, gestational age 32-36 weeks birth weight <1 500 g, and infertility with bilateral factors were independent risk factors for birth defects ( OR=1.21, 95% CI: 1.00-1.47, P=0.046; OR=1.90,95% CI: 1.41-2.56, P<0.001; OR=3.37, 95% CI: 1.33-8.51, P=0.010; OR=1.38, 95% CI: 1.12-1.69, P=0.003), while in multiple pregnancies, male offspring, gestational age <32 weeks, gestational age 32-36 weeks, birth weight <1 500 g, birth weight 1 500-2 499 g, maternal age 25-29 years and maternal age 30-34 years were independent risk factors ( OR=1.25, 95% CI: 1.03-1.52, P=0.023; OR=2.06, 95% CI: 1.35-3.15, P=0.001; OR=1.32,95% CI: 1.05-1.66, P=0.016; OR=1.98,95% CI: 1.19-3.28, P=0.009; OR=2.06,95% CI: 1.64-2.60, P<0.001; OR=2.00, 95% CI: 1.31-3.06, P=0.001; OR=1.90,95% CI: 1.24-2.92, P=0.003). Conclusion:Over the past 10 years, the incidence of birth defects in ART offspring in Jiangxi Province has shown a decreasing trend annually, with circulatory system malformations being the most common. The occurrence of birth defects in IVF offspring is primarily associated with maternal and infant characteristics, such as gender, gestational age, birth weight, number of fetuses, and cause of infertility, independent of ART treatment factors.

Ancient Chinese medicine books are the foundation of traditional Chinese medicine inheritance,innovation,and development,and the vast amount of knowledge they contain is worthy of in-depth mining.However,if researchers only rely on manual sorting,research progress will inevitably be slow.To overcome this,previous studies have attempted to extract knowledge from ancient Chinese medicine books automatically with natural language processing technology,which has made certain progress in the last decade.In this paper,we first introduce the text data-oriented knowledge extraction technology,then review the research progress of existing technologies in the two tasks of entity recognition and entity relationship extraction of ancient Chinese medicine books.Finally,we analyze the shortcomings of this research field and recommend standardizing data annotation,expanding entity categories,and paying attention to procedural knowledge.This review aims to provide a reference for the mining and utilization of ancient traditional Chinese medicine books in the era of artificial intelligence.

AIM:To optimize the clinical dosage and administration regimen of a novel long-acting injectable aripiprazole microsphere(LZMT05)using plasma concentration data from two clinical trials.METHODS:Plasma concentrations were collected from 196 schizophrenia patients administered LZMT05,and a population pharmacokinetic(Pop-PK)model was developed.The therapeutic window was defined as the steady-state trough-to-peak concentration range(94.0-534 ng/mL)of oral ar-ipiprazole.Multiple clinical scenarios were simulat-ed to identify the optimal regimen.RESULTS:A one-compartment model with dual first-order ab-sorption and first-order elimination characterized LZMT05 pharmacokinetics.Covariates like sex and CYP2D6 genotype were integrated into the final model.Simulations demonstrated that switching from 10 mg oral aripiprazole to 350 mg LZMT05 ev-ery 4 weeks sustained concentrations within the therapeutic window with minimal peak-to-trough fluctuations.CONCLUSION:The PopPK-guided opti-mized LZMT05 regimen maintained drug exposure within the therapeutic window,suggesting favor-able efficacy and safety.

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.