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.

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.

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.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective:To evaluate the efficacy of reduction robot system combined with minimally invasive, microenvironmental protection, micro-stress shielding fixator (short for "3M fixator") for Sanders types II and III calcaneal fractures.Methods:A retrospective case series study was conducted to analyze the clinical data of 26 patients (26 feet) with calcaneal fractures admitted to Fourth Affiliated Central Hospital of Tianjin Medical University from June 2022 to June 2024, including 21 males and 5 females, aged 27-69 years [(46.5±2.5)years]. Among them, 10 patients had fractures in the left foot and 16 in the right. According to the Sanders classification, the fractures were classified as type II in 16 patients and type III in 10. All the patients were treated with the close reduction with reduction robot system combined with 3M fixator in a minimally invasive procedure. The surgical waiting time, operative duration, and fracture healing time were recorded. The length, width and height of the calcaneus, B?hler′s angle and Gissane′s angle were compared before operation and at 1, 3 months after operation. The visual analogue scale (VAS) and American Orthopedic Foot and Ankle Society (AOFAS) ankle-hindfoot score before operation and at 1, 3 months after operation and at the last follow-up were detected. The postoperative complications were recorded.Results:All the patients were followed up for 6-12 months [(9.7±1.1)months]. The surgical waiting time was 1-4 days [(2.0±0.8)days]. The operative duration was 36-66 minutes [(53.2±9.5)minutes]. All the fractures achieved primary union with a healing period of 3-4 months [(3.2±0.4)months]. At 1, 3 months after operation, the length of the calcaneus [(83.3±3.7)mm and (83.6±3.6)mm], width of the calcaneus [(44.3±5.8)mm and (44.3±5.7)mm], height of the calcaneus [(50.1±3.8)mm and (50.3±3.6)mm], B?hler′s angle [(29.8±2.9)° and (29.8±3.0)°], and Gissane angle [(121.1±6.7)° and (123.9±5.9)°] were significantly improved compared with those before operation [(79.3±4.5)mm, (53.6±4.1)mm, (46.2±3.7)mm, (18.9±3.8)°, (109.0±7.5)°, respectively] ( P<0.05), with no significant differences between those indicators at 1, 3 months after operation ( P>0.05). The VAS scores were (3.2±0.6)points, (1.9±0.5)points, and (1.6±0.3)points at 1, 3 months after operation and at the last follow-up, which were lower than (7.1±0.5)points preoperatively and decreased with the prolongation of follow-up time ( P<0.05). The AOFAS scores were (73.5±6.9)points, (90.1±4.3)points, and (92.0±3.6)points, which were higher than (32.0±4.6)points preoperatively and increased with the follow-up time ( P<0.05). One patient had lateral calcaneal pain after operation, and was alleviated after rehabilitation. No complications such as infection or nonunion were found after operation. Conclusion:The reduction robot system combined with 3M fixator for Sanders types II and III calcaneal fractures demonstrates significant clinical advantages, such as reduced surgical waiting time and operative duration, promoted fracture healing, early alleviated pain, enhanced ankle joint functional recovery, and decreased complication occurrence.

Objective:To analyze the epidemiological characteristics of human metapneumovirus（hMPV）in respiratory samples from patients in Suzhou，China，and investigate the results of whole-genome sequencing，so as to provide scientific evidence for a deeper understanding of its genetic diversity and the development of preventive measures.Methods:In this study，1 340 influenza-like illness（ILI）samples and 970 severe acute respiratory infection（SARI）samples were collected from two sentinel hospitals in Suzhou in 2024. Nucleic acid detection was performed using a multiplex real-time fluorescence PCR method. For hMPV-positive samples，whole-genome sequencing was conducted on the Illumina Miseq platform. Mutations，insertions，deletions，and other variations were identified using the pathogenic virus whole-genome analysis system. A phylogenetic tree was constructed by the Maximum Likelihood method for lineage analysis.Results:Among 2 310 respiratory samples，the overall hMPV positivity rate was 1.69%（39/2 310），with positivity rates of 1.27%（17/1 340）in ILI samples and 2.27%（22/970）in SARI samples. No statistically significant difference was observed between the two groups（ P>0.05）. The proportion of mixed infections in hMPV-positive samples was 46.15%（18/39），with mixed infection rates of 23.53%（4/17）in the ILI group and 63.64%（14/22）in the SARI group. In terms of temporal distribution，the peak period of hMPV infection primarily concentrated in January and December. The whole genomes of 13 hMPV strains were successfully obtained，and 554 missense mutations were identified in the coding region，with particularly significant variations observed in the G gene region. Phylogenetic analysis revealed that 4 strains belonged to the A2b2 subtype，while 9 strains belonged to the B2 subtype. Conclusions:In Suzhou，hMPV exhibits a relatively balanced distribution between ILI and SARI clinical groups，with infection peaks mainly occurring in winter and a high proportion of mixed infections. The predominant circulating strain is the B2 subtype，and its genome shows significant genetic variation，particularly in the G gene region.

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*

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.

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.