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.

Objective To systematically review international research on health communication, and to provide valuable insights and reference for China's health communication research and practice. Methods This study included 693 articles published from January 2023 to April 2024 in two authoritative academic journals in the field of health communication, ^“Health Communication^” and the ^“Journal of Health Communication^”. A systematic review was conducted on the themes, theoretical foundations, research methods, and populations of international health communication research. Results The findings in this study revealed that international health communication research topics were diverse, with hotspots including social media, health information behavior, health misinformation, stigmatization, trust, and risk perception. The results showed that 34% of the articles were based on theoretical foundations, and 93.3% employed research methods, focusing on adolescents, parents, women, and other key populations. Conclusion Domestic health communication research can expand its perspective from ^“information transmission^” to ^“social interaction^”, innovate theories and methods from ^“single paradigm" to ^“multi-integration^” and shift focus from a ^“mass perspective^” to ^“targeted care^” for the health of all populations. Domestic health communication practice can delve into the localization of social media health communication practices, the comprehensive management of health misinformation, and the critical application of new technologies.

ObjectiveTo evaluate the clinical efficacy of Zuogui Pill （左归丸，ZGP） decoction on neurological function， motor function， and activities of daily living in patients with ischemic stroke （IS） of liver-kidney yin deficiency syndrome， and to assess its potential mechanisms from the perspectives of cerebral perfusion and corticospinal tract （CST） remodeling. MethodsA total of 108 patients with IS of liver-kidney yin deficiency syndrome and onset time ≤14 days were enrolled and randomly divided into a control group and a treatment group， with 54 cases in each group. The control group received conventional western medicine， while the treatment group received ZGP decoction （one dose per day） in addition to the conventional treatment. Both groups were treated for 90 days. The National Institutes of Health Stroke Scale （NIHSS）， modified Rankin Scale （mRS）， modified Barthel Index （MBI）， Fugl-Meyer Assessment （FMA）， and Chinese medicine syndrome score （CMS） were evaluated before treatment and after （90±3） days of treatment. Three-dimensional arterial spin labeling （3D-ASL） and diffusion tensor imaging （DTI） were performed to obtain ipsilesional cerebral blood flow （CBF） in the unaffected and affected hemispheres， relative CBF （rCBF）， and fractional anisotropy （FA） of the CST. Nodal analysis of FA values along the CST was also conducted. Correlation analysis was used to assess the relationships between post-treatment cerebral perfusion parameters （CBF and rCBF）， and FA values with clinical neurological function scores. ResultsAfter treatment， both groups showed significantly decreased NIHSS， mRS and CMS scores， together with significantly increased FMA and MBI scores （P＜0.01）. Intergroup comparison showed that NIHSS， mRS， and CMS scores in the treatment group were significantly lower than those in the control group ， while MBI and FMA scores were significantly higher （P＜0.01）. The 3D-ASL results revealed that CBF and rCBF values in the affected hemisphere significantly increased in both groups after treatment， and the treatment group had significantly higher values （P＜0.01）. DTI showed that the FA value of the CST on the affected side in the treatment group was significantly higher than that in the control group after treatment （P＜0.05）. Nodal analysis along the CST further demonstrated that the continuity of FA values at lesion-related nodes 45~99 in the treatment group was significantly better than that in the control group （P＜0.01）， with significant increases at nodes 65~71 and 76~81 compared with baseline （P＜0.05 or P＜0.01）， whereas the control group showed a decreasing trend at nodes 80~93 （P＜0.05）. Correlation analysis indicated that CBF and rCBF values in the affected hemisphere were negatively correlated with NIHSS and mRS scores and positively correlated with MBI score （P＜0.05）. FA value of the CST on the affected side， both before and after treatment， were negatively correlated with NIHSS score and positively correlated with FMA score （P＜0.05 or P＜0.01）. ConclusionZGP decoction can effectively improve neurological function， motor function， and activities of daily living in IS patients with liver-kidney yin deficiency syndrome， and its mechanism may be related to enhanced cerebral perfusion in the affected hemisphere and corticospinal tract structural remodeling.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

In recent years,patient-derived tumor organoid(PDTO)models have rapidly emerged as important tools in cancer research,thanks to their unique ability to preserve the characteristics of primary tumors.These models provide a reliable preclinical research platform for screening individualized chemotherapy and targeted therapies for patients.However,traditional PDTOs lack immune cells and cannot replicate the tumor immune microenvironment,which restricts their utility in evaluating immunotherapies.To address this challenge,researchers have developed composite models that incorporate both tumor cells and immune cells,known as patient-derived immunocompetent tumor organoids(PDITOs).PDITOs have shown excellent performance in the preclinical evaluation of immunotherapies,particularly with PD-1/PD-L1 immune checkpoint inhibitors,with some studies reporting up to 100％accuracy in predicting patient responses to immunotherapy.As a common malignancy of the urinary system,bladder cancer has benefited from the application of PDITOs in drug screening and personalized immunotherapy evaluation,demonstrating significant potential.This paper aims to review the rise and development of PDITOs,and compare the advantages and limitations of using different methods to construct PDITOs,so as to explore their application in the treatment of bladder cancer.

This study examines the progress and application of Artificial Intelligence (AI) in the prevention and control of infectious diseases within Chinese healthcare institutions. It analyzes the difficulties and challenges encountered during implementation to promote the intelligent transformation and upgrading of infectious disease prevention and control. The results indicate that AI technology has made progress in areas such as infectious disease surveillance and early warning, risk assessment and emergency response, screening and detection, image-based diagnosis and analysis, and health management. Nevertheless, significant challenges remain, including limited application depth and breadth, issues with data quality and privacy protection, insufficient technological maturity and interpretability, potential legal risks, and a shortage of interdisciplinary professionals. To advance the application of AI technology in infectious disease prevention and control and support the modernization of China′s relevant systems, recommendations include strengthening policy support, establishing data standards and robust privacy protection mechanisms, increasing R&D investment, refining laws and regulations, and enhancing the training of interdisciplinary talent.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

High-risk non-muscle invasive bladder cancer (HR-NMIBC) is associated with a higher risk of recurrence and progression. The standard treatment involves intravesical Bacillus Calmette-Guérin (BCG) instillation following transurethral resection of the bladder cancer. However, in cases of BCG unresponsiveness, radical cystectomy is typically recommended. Due to the high complication rates and significant impact on quality of life associated with this procedure, bladder-preserving treatment (BPT) strategies have emerged as an alternative. This review summarizes recent advances in BPT, including combined chemoradiotherapy, immune checkpoint inhibitors, targeted therapies, localized precision treatments, and novel immunomodulators. With ongoing technological and therapeutic innovations, BPT has become an effective alternative for patients who are unable or unwilling to undergo surgery, reshaping the treatment landscape of HR-NMIBC.

Objective To analyze ancient prescriptions for knee osteoarthritis(KOA),and explore their application patterns,for providing clinical reference value.Methods Prescriptions were collected from ancient documents,and a database was created by using Excel 2016 for frequency analysis.Association rules and hidden structures were analyzed by using SPSS Modeler 18.0 and Lantern 5.0.Results A total of 373 prescriptions and 421 herbs were collected,with 3894 times of frequency of medication.Danggui was the most frequently used herb.Herbs primarily tonified deficiencies,relieved exterior symptoms,and expelled wind-dampness,with warm properties and pungent,sweet,or bitter tastes,mainly targeting the spleen and kidney meridians.Thirteen strong association rules were identified,including Chuanxiong+Niuxi-Danggui,and Bixie-Niuxi.Hidden structure analysis revealed 10 variables,leading to 4 clusters and 4 core prescriptions.Common syndromes included wind-damp,wind-cold-damp,wind-damp-heat,and qi-blood deficiency.Conclusion The treatment of KOA in ancient literature focuses on dispelling wind and removing dampness,taking into account both positive deficiency and evil excess,flexible use of tonifying spleen and kidney,clearing dampness-heat,tonifying Qi and blood and other drugs.