Background: Sex-based differences often influence the therapeutic efficacy and safety of medications. Semen Cuscutae is a traditional tonic botanical drug with sex-specific characteristics, traditionally indicated for conditions such as impotence (exclusive to males) and restless fetus (exclusive to pregnant females). However, most existing studies have focused on a single sex. Objective: To evaluate the sex-specific biological effects of Semen Cuscutae in rats and explore its molecular mechanisms, with the aim of uncovering its pharmacological characteristics through a multiomics approach. Methods: A traditional aqueous extract of Semen Cuscutae (SCA) was used as the experimental material. Forty adult Sprague-Dawley rats (equal numbers of males and females) were randomly divided into 4 groups: male control, male SCA treatment (240 mg/kg), female control, and female SCA treatment (240 mg/kg), with 10 rats in each group. The biological effects were comprehensively evaluated using a combination of open field test, biochemical analyses, proteomics, and gut microbiota profiling. Results: As a tonic botanical drug, SCA appeared to directly affect the mental and behavioral state of rats. It significantly altered the time spent by rats in the center area during the open field test, showing a sex-dependent reversal of behaviors. Proteomic analysis of brain tissue identified 624 differentially expressed proteins across the groups, with 10 key differentially expressed proteins related to sex differences, including fibroblast growth factor receptor 3, transcription elongation factor A protein-like 1, 40S ribosomal protein S25, neural cell adhesion molecule, and anion exchange protein 2 (SLC4A2). Enrichment analysis revealed that in male rats, SCA upregulated proteins involved in biological processes such as ribosome function and energy derivation, supporting protein synthesis and enhancing energy supply, showing an overall gain effect. In contrast, in female rats, SCA downregulated proteins associated with processes such as positive regulation of target of rapamycin (TOR) signaling and vesicle transport, suggesting suppression of neuronal signaling and material transport, indicative of a shift toward a more restrained physiological state. Furthermore, SCA reduced gut microbiota diversity in female rats but increased it in males, including the abundance of Akkermansia, which may serve as a crucial mediator. Conclusion: Overall, the biological effects of SCA differ significantly between male and female rats, with evidence suggesting greater health benefits in males. These findings help elucidate the scientific basis of its traditional applications and provide guidance for the precise application of SCA as a functional health food.

With the integration of 5G communication technology and robotic surgical systems, remote robot-assisted thoracic surgery is overcoming geographical barriers, offering an innovative approach to addressing the uneven distribution of medical resources. This study conducted a systematic literature review—using databases such as PubMed and CNKI, with the search period extending up to 2025—incorporating clinical studies, case reports, and review articles to comprehensively evaluate the clinical efficacy and safety of 5G-enabled remote robot-assisted thoracic surgery (5G-RRATS). The analysis also examined current technological limitations and potential future development trajectories. Existing evidence indicates that, given adequate technical support, 5G-RRATS can achieve perioperative outcomes comparable to those of conventional local robotic surgeries across procedures including pulmonary wedge resection, lobectomy, and esophagectomy. Furthermore, it demonstrates potential advantages in minimizing surgical incisions and reducing intraoperative blood loss. Nevertheless, challenges related to network stability, latency control, interdisciplinary collaboration between medical and engineering teams, and legal, regulatory, and ethical considerations continue to hinder widespread clinical adoption. Looking ahead, the emergence of a "one-to-many" remote surgical model, combined with the integration of artificial intelligence and augmented reality technologies, as well as advancements in low-orbit satellite communications, may enable 5G-RRATS to further advance precision and efficiency in thoracic surgery, thereby facilitating equitable access to high-quality care for a broader patient population.

ObjectiveTo establish a semi-automated workflow for hyoid motion tracking based on submental ultrasound videos, evaluate the reliability of manual measurements and the validity of semi-automated tracking, and compare the analytical efficiency. MethodsA total of 46 healthy adults were recruited at Xiamen Fifth Hospital from October, 2024 to August, 2025, and performed dry swallows and swallows of 5 mL and 10 mL moderately-thick liquid boluses. A total of 414 sagittal-plane submental ultrasound videos were acquired. After video quality screening and tracking quality-control procedures, 286 videos were included for paired analysis. A semi-automated tracking pipeline was constructed combining the channel-and-spatial-reliability tracker and You Only Look Once version 8 small (YOLO v8s). Intra-class correlation coefficients [ICC(A,1)] based on the absolute-agreement single-measurement model were calculated for test-retest and inter-rater manual measurements. Using the manual repeated-measurement results as the reference standard, Pearson correlation coefficient (r), ICC(A,1) and concordance correlation coefficient (CCC) were computed for the semi-automated measurements. A total of 5 000 subject-clustered bootstrap resamples were performed to calculate 95% confidence intervals. Cumulative analysis time of manual and semi-automated workflows was compared. ResultsFor the independent test set of YOLOv8s, precision and recall reached 0.940 and 0.956. The mean average precision was 0.974 at an intersection-over-union threshold of 0.5, and 0.609 averaged across thresholds ranging from 0.5 to 0.95. For manual measurements of maximum horizontal and vertical hyoid displacement, the test-retest ICC(A,1) values were 0.925 and 0.912, respectively; the inter-rater ICC(A,1) values were 0.815 and 0.775. For semi-automated versus manual reference measurements, r = 0.865，ICC(A,1) = 0.843，CCC = 0.843 in maximum horizontal displacement; and r = 0.754，ICC(A,1) = 0.746，CCC = 0.745 in maximum vertical displacement. Mean biases were -0.772 mm and -0.229 mm, with 95% limits of agreement of -4.567 to 3.023 mm and -2.918 to 2.460 mm for horizontal and vertical directions. Cumulative manual analysis time was 526 minutes for rater A and 713 minutes for rater B. The semi-automated workflow consumed 155 minutes, in which 40 minutes for computational processing and 115 minutes for manual review. ConclusionManual measurement of maximum hyoid displacement is reliable using qualified submental ultrasound videos. Semi-automated tracking achieves acceptable agreement with manual reference and greatly reduces analysis workload.

Objective To compare the performance and efficacy of prognostic models constructed by different machine learning algorithms in predicting the survival period of lung transplantation (LTx) recipients. Methods Data from 483 recipients who underwent LTx were retrospectively collected. All recipients were divided into a training set and a validation set at a ratio of 7:3. The 24 collected variables were screened based on variable importance (VIMP). Prognostic models were constructed using random survival forest (RSF) and extreme gradient boosting tree (XGBoost). The performance of the models was evaluated using the integrated area under the curve (iAUC) and time-dependent area under the curve (tAUC). Results There were no significant statistical differences in the variables between the training set and the validation set. The top 15 variables ranked by VIMP were used for modeling and the length of stay in the intensive care unit (ICU) was determined as the most important factor. Compared with the XGBoost model, the RSF model demonstrated better performance in predicting the survival period of recipients (iAUC 0.773 vs. 0.723). The RSF model also showed better performance in predicting the 6-month survival period (tAUC _{6 months} 0.884 vs. 0.809, P = 0.009) and 1-year survival period (tAUC _{1 year} 0.896 vs. 0.825, P = 0.013) of recipients. Based on the prediction cut-off values of the two algorithms, LTx recipients were divided into high-risk and low-risk groups. The survival analysis results of both models showed that the survival rate of recipients in the high-risk group was significantly lower than that in the low-risk group (P<0.001). Conclusions Compared with XGBoost, the machine learning prognostic model developed based on the RSF algorithm may preferably predict the survival period of LTx recipients.

ObjectiveTo investigate the mechanism of action of modified Shaofu Zhuyutang in antagonizing cellular pyroptosis and fibrosis in ectopic endometrial tissues of endometriosis through the Toll-like receptor 4/nuclear factor-κB/NOD-like receptor protein 3 （TRL4/NF-κB/NLPR3） signaling pathway. MethodsSeventy-two SPF-grade female SD rats were randomly divided into a sham-operated group （n = 12） and a modeling group （n = 60）. The rats in the sham-operated group underwent a caesarean section， while the rats in the modeling group were used to establish an endometriosis model through the auto-transplantation method. After successful modeling， the animals were randomly divided into the model group， progesterone group （0.25 mg·kg^-1）， and modified Shaofu Zhuyutang low-， medium-， and high-dose groups （7.5， 15， 30 g·kg^-1）， with 12 animals in each group. After 4 weeks of drug administration， voluntary activity and heat pain latency were observed. The rats were sacrificed for tissue collection， and Masson staining were used to observe histopathological changes in the endometrial tissues. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum levels of interleukin-18 （IL-18）， interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and transforming growth factor-β （TGF-β）. Immunohistochemistry （IHC） was used to detect the protein expression area of tumor necrosis factor-related factor 6 （TRAF6） and NLPR3 in the endometrial tissues. Immunofluorescence （IF） was used to detect the relative fluorescence intensity of Caspase-1 and gasdermin D （GSDMD） in the endometrial tissues. Western blot was employed to measure the relative expression of TRL4， myeloid differentiation factor 88 （MyD88）， TRAF6， NF-κB p65， phosphorylated NF-κB p65 （p-NF-κB p65）， and NLPR3 proteins in endometrial tissues. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 in the endometrial tissues. ResultsCompared with the sham-operated group， rats in the model group showed reduced voluntary activity and shorter heat pain latency. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were elevated. The relative expression areas of TRAF6 and NLPR3 proteins were increased， and the relative fluorescence intensity of Caspase-1 and GSDMD was enhanced. The relative expression of TRL4， MyD88， TRAF6， NF-κB p65， p-NF-κB p65， and NLPR3 proteins， along with the expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA， were significantly increased （P<0.01）. Compared with the model group， rats in the progesterone group and the modified Shaofu Zhuyutang medium- and high-dose groups exhibited improved voluntary activity， longer heat pain latency， the fibrosis of endometrial tissue is alleviated. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were decreased. The relative expression areas of TRAF6 and NLPR3 proteins decreased， and the relative fluorescence intensity of Caspase-1 and GSDMD weakened. The relative expression of TRL4， MyD88， TRAF6， p-NF-κB p65， NLPR3 proteins， and TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA expression were reduced （P<0.05， P<0.01）. ConclusionModified Shaofu Zhuyutang may play a therapeutic role in endometriosis by interfering with key proteins in the TRL4/NF-κB/NLPR3 signaling pathway， reducing NLRP3 inflammasome-induced cellular pyroptosis， antagonizing the fibrosis process in ectopic endometrial tissues， improving the inflammatory microenvironment in the pelvic cavity， and alleviating pain.

ObjectiveTo observe the effects of modified Shaofu Zhuyutang on key proteins of the epidermal growth factor receptor （EGFR）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway in SD rats with endometriosis. MethodsAfter successful establishment of an endometriosis model in 60 female SD rats of SPF grade via the auto-transplantation method， the rats were randomly divided into a model group， modified Shaofu Zhuyutang high-， medium-， and low-dose groups， and a gestrinone group， with another 12 rats serving as a blank group. The blank and model groups were administered 10 mL·kg^-1 normal saline， while the high-， medium-， and low-dose groups received 30， 15， and 7.5 g·kg^-1 modified Shaofu Zhuyutang， respectively. The gestrinone group was administered 0.25 mg·kg^-1 gestrinone suspension. After four weeks of treatment， uterine contractions were induced with 2 U of oxytocin， and the writhing response of rats was observed. After 24 h， the rats were euthanized， and the weight and volume of ectopic endometrial tissue were recorded. Hematoxylin-eosin （HE） staining was used to observe pathological changes in endometrial tissues， while the terminal deoxynucleotidyl transferase-mediated dUTP nick end-labeling （TUNEL） assay was used to evaluate the apoptosis rate of endometrial tissues. Immunofluorescence was used to detect the relative expression areas of the B-cell lymphoma-2 gene-associated promoter （Bad） and B-cell lymphoma-2 （Bcl-2） proteins in endometrial tissues. Serum levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， epidermal growth factor （EGF）， and EGFR were measured by enzyme-linked immunosorbent assay （ELISA）. The relative protein expression levels of EGFR， PI3K， phosphorylated PI3K （p-PI3K）， Akt， and phosphorylated Akt （p-Akt） in endometrial tissues were analyzed by Western blot. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of EGFR， PI3K， and Akt. ResultsCompared with the blank group， the model group showed endometrial thickening， glandular and mesenchymal hyperplasia， a significant decrease in the relative expression area of Bad in ectopic endometrial tissues， a significant increase in the relative expression area of Bcl-2， and a significant reduction in the apoptosis rate as indicated by TUNEL staining. Serum levels of IL-1β， IL-6， TNF-α， EGF， and EGFR were significantly elevated （P<0.01）. The relative protein expression levels of EGFR， PI3K， p-PI3K， Akt， and p-Akt， as well as the mRNA expression levels of EGFR， PI3K， and Akt， were also significantly increased （P<0.01）. Compared with the model group， the high- and medium-dose groups of modified Shaofu Zhuyutang and the gestrinone group exhibited reduced glandular and mesenchymal hyperplasia to varying degrees， with dilated glandular lumens. The number of writhing responses was significantly reduced， the latency to writhing response was significantly prolonged， and the weight and volume of ectopic endometrial tissue were significantly decreased. The relative expression area of Bad in ectopic endometrial tissue was significantly increased， the relative expression area of Bcl-2 was significantly decreased， and the apoptosis rate was significantly elevated as shown by TUNEL staining. Serum levels of IL-1β， IL-6， TNF-α， EGF， and EGFR were significantly reduced， and the relative protein expression levels of EGFR， PI3K， p-PI3K， Akt， and p-Akt， as well as the mRNA expression levels of EGFR， PI3K， and Akt， were significantly decreased （P<0.05，P<0.01）. ConclusionModified Shaofu Zhuyutang may exert therapeutic effects on endometriosis by interfering with key proteins of the EGFR/PI3K/Akt signaling pathway and inducing apoptosis in ectopic endometrial tissue.

ObjectiveTo investigate the mechanism of modified Shaofu Zhuyutang in inducing ferroptosis in ectopic endometrial tissues of rats with endometriosis through the murine double minute 4 （MDM4）/tumor suppressor p53/glutathione peroxidase 4 （GPX4） signaling pathway. MethodsSeventy SPF-grade female SD rats were randomly divided into a blank group （n = 10）， a sham-operated group （n = 10）， and a modeling group （n = 50）. The sham-operated group underwent laparotomy， while the modeling group was subjected to the autotransplantation method to establish an endometriosis model. After successful modeling， the animals were randomly assigned to the model group， progesterone group （0.25 mg·kg^-1）， and modified Shaofu Zhuyutang high-， medium-， and low-dose groups （30， 15， and 7.5 g·kg^-1， respectively）， with 10 rats per group. After four weeks of drug administration， the rats were euthanized for sample collection. The weight and volume of ectopic endometrial tissues were recorded for each group. Transmission electron microscopy （TEM） was employed to observe ultrastructural changes in endometrial tissues， while Prussian blue staining was used to assess iron ion deposition. Serum levels of interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and tumor necrosis factor-α （TNF-α） were measured by enzyme-linked immunosorbent assay （ELISA）. The relative levels of Fe²⁺， malondialdehyde （MDA）， and glutathione （GSH） in endometrial tissues were determined by colorimetric assay. Immunofluorescence （IF） was used to detect the relative fluorescence intensities of GSH and GPX4 in endometrial tissues. The relative expression levels of phosphatidylinositol 3-kinase （PI3K）， phosphorylated PI3K （p-PI3K）， protein kinase B （Akt）， phosphorylated Akt （p-Akt）， MDM4， p53， and GPX4 proteins were detected by Western blot. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of PI3K， Akt， MDM4， p53， and GPX4. ResultsCompared with the blank and sham-operated groups， the model group exhibited reduced ferroptotic damage in ultrastructural observations， decreased ferroptotic aggregates and positive iron ion expression area on Prussian blue staining， elevated serum IL-6， IL-1β， and TNF-α levels， reduced Fe²⁺ and MDA content， increased GSH content in endometrial tissues， and enhanced GSH and GPX4 fluorescence intensities （P<0.01）. The protein and mRNA expression levels of PI3K， p-PI3K， Akt， p-Akt， MDM4， and GPX4 were elevated， while those of p53 were decreased （P<0.01）. Compared with the model group， in the progesterone group and the modified Shaofu Zhuyutang high- and medium-dose groups， ferroptotic damage in ultrastructural observations was exacerbated to varying degrees by TEM， and ferroptotic aggregates and positive iron ion expression areas were increased on Prussian blue staining. Serum IL-6， IL-1β， and TNF-α levels decreased， Fe²⁺ and MDA content increased， and GSH content decreased in endometrial tissues. GSH and GPX4 fluorescence intensities weakened， while the protein and mRNA expression levels of PI3K， p-PI3K， Akt， p-Akt， MDM4， and GPX4 decreased， and those of p53 increased （P<0.05， P<0.01）. Conclusionmodified Shaofu Zhuyutang may exert therapeutic effects in endometriosis by inducing ferroptosis in ectopic endometrial tissues， alleviating inflammatory responses， and modulating key proteins in the MDM4/p53/GPX4 signaling pathway.

Objective To analyze the monitoring data of cardio-cerebrovascular diseases prevention and control system in Yichang in 2022, and to provide data support and experience for the precise prevention and treatment of cardio-cerebrovascular diseases. Methods Acute cardiovascular and cerebrovascular event data were collected from the Yichang Cardio-cerebrovascular Events Monitoring System from January 1, 2022 to December 31, 2022. Descriptive analysis was conducted for the data collected. Statistical analysis was performed using SPSS 20.0 software, and a chi-square test was used to analyze the count data. Results A total of 37,217 cases of cardio-cerebrovascular events were monitored in Yichang in 2022. The crude incidence and the standardized incidence were 983.84/100,000 and 541.55/100,000, respectively. The incidence in males was higher than females (554.93/100,000 vs 428.91/100,000，χ² =464.52，P＜0.05). The top three diseases were cerebral infarction, acute myocardial infarction, and cerebral hemorrhage. The incidence of events increased with age, and 79.80% of the cases were over 60 years old. The main onset time was from May to August. Conclusion The use of the cardio-cerebrovascular events monitoring system in Yichang and the implementation of ^“mandatory reporting card^” monitoring can timely obtain the epidemic characteristics of the diseases, provide support for the precise formulation of prevention and control strategies and measures, reduce underreporting rates, and improve the monitoring system, which is worthy of reference and promotion.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed