Stroke is the leading cause of death and disability among adults in China， and its common complications include digestive system abnormalities， cognitive impairment， depression， stroke-associated pneumonia， and hemiplegia. The combination of traditional Chinese and Western medicine has great potential in treating post-stroke complications. Xinglou Chengqitang （XLCQT） is a representative prescription of alleviating the disease in the upper part by treating the lower part. It has definite therapeutic effect and high safety. Clinically， XLCQT is often used to treat stroke and its complications. However， the quantity and quality of clinical trials of XLCQT in treating post-stroke complications need to be improved. Additionally， since the basic research is weak， the material basis and multi-target mechanism for the efficacy of this prescription are unknown. This article reviews XLCQT in terms of the pharmacodynamic basis， medicinal properties， safety evaluation， and progress in clinical research and mechanisms in treating post-stroke complications. This article summarizes 22 key active ingredients of XLCQT in treating acute stroke complicated with syndrome of phlegm heat and fu-organ excess. Among these key active ingredients， resveratrol， kaempferol， luteolin， chrysoeriol， apigenin， （+）-catechin， and adenosine have good pharmacokinetic properties and high bioavailability. The mechanisms of XLCQT in treating post-stroke complications are complex， including inflammatory response， brain-gut axis， hypothalamic-pituitary-adrenal （HPA） axis， intestinal flora， neurotrophic factors， autophagy， oxidative stress， and free radical damage. This review helps to deeply understand the pharmacodynamic basis and mechanisms of XLCQT in treating post-stroke complications and provides a theoretical basis for the clinical application of XLCQT against post-stroke complications and the development of drugs.

The morphological characteristics and pathological progression of vulnerable plaques in atherosclerosis （AS） exhibit a high degree of similarity to the concept of "abscesses and ulcers" in traditional Chinese medicine （TCM）. Therefore， vulnerable atherosclerotic plaques can be analogized as "abscesses and ulcers within the vessels"， for which deficiency， stasis and toxin constitute the core pathogenesis. The pathological evolution progresses through three sequential stages， deficiency leading to pathological substances， with phlegm and stasis accumulating into a mass； the mass transforming into putridity， with internal decay and external thinning； putridity brewing toxin， and toxin accumulation threatening rupture， ultimately resulting in plaque instability. Accordingly， a stage-specific treatment strategy is established. In the early stage， it is suggested to supplement deficiency， resolve the mass， dissipate stasis， and prevent putridity， using Liujunzi Decoction （六君子汤） combined with Danshen Decoction （丹参饮） with modifications. In the middle stage， the treatment should focus on transforming putridity to generate new tissue， and rectifying healthy qi to consolidate the body， with modified Tuoli Xiaodu Powder （托里消毒散）. In the late stage， the treatment principle is clearing and resolving putridity toxin， cooling the blood， and preventing ulcerative rupture， using modified Simiao Yong'an Decoction （四妙勇安汤） combined with Xijiao Dihuang Decoction （犀角地黄汤）.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Malignant tumors are a class of diseases that pose a serious threat to human health, and radiotherapy (RT) is one of the essential treatment modalities. Virtual reality (VR) technology, with its unique characteristics of immersion, interactivity, and imagination, demonstrates tremendous application potential in radiotherapy. Several randomized controlled trials have confirmed that VR, as a non-pharmacological intervention, can effectively alleviate anxiety in patients, especially children, and improve treatment adherence. In medical education and professional training, VR provides safe training platforms for radiation oncologists, medical physicists, and radiation therapists through the construction of high-fidelity virtual environments. These platforms can be used for training skills in target volume delineation, treatment plan evaluation, and equipment quality control, thereby significantly improving training efficiency and quality. Furthermore, VR technology enables three-dimensional visualization and intuitive evaluation of treatment plans, facilitates multidisciplinary team (MDT) collaboration, and provides new paradigms for the development of real-time guidance technologies that integrate with augmented reality. This article systematically reviews the current applications of VR technology in the clinical practice, medical education, radiation protection, and scientific research of radiotherapy. It also discusses future prospects for integrating VR with artificial intelligence (AI), augmented reality (AR), and haptic feedback technologies. This review provides a valuable reference for the standardized application of VR technology in radiotherapy and radiation protection in China.

Malignant tumors are a class of diseases that pose a serious threat to human health, and radiotherapy (RT) is one of the essential treatment modalities. Virtual reality (VR) technology, with its unique characteristics of immersion, interactivity, and imagination, demonstrates tremendous application potential in radiotherapy. Several randomized controlled trials have confirmed that VR, as a non-pharmacological intervention, can effectively alleviate anxiety in patients, especially children, and improve treatment adherence. In medical education and professional training, VR provides safe training platforms for radiation oncologists, medical physicists, and radiation therapists through the construction of high-fidelity virtual environments. These platforms can be used for training skills in target volume delineation, treatment plan evaluation, and equipment quality control, thereby significantly improving training efficiency and quality. Furthermore, VR technology enables three-dimensional visualization and intuitive evaluation of treatment plans, facilitates multidisciplinary team (MDT) collaboration, and provides new paradigms for the development of real-time guidance technologies that integrate with augmented reality. This article systematically reviews the current applications of VR technology in the clinical practice, medical education, radiation protection, and scientific research of radiotherapy. It also discusses future prospects for integrating VR with artificial intelligence (AI), augmented reality (AR), and haptic feedback technologies. This review provides a valuable reference for the standardized application of VR technology in radiotherapy and radiation protection in China.

Malignant tumors are a class of diseases that pose a serious threat to human health, and radiotherapy (RT) is one of the essential treatment modalities. Virtual reality (VR) technology, with its unique characteristics of immersion, interactivity, and imagination, demonstrates tremendous application potential in radiotherapy. Several randomized controlled trials have confirmed that VR, as a non-pharmacological intervention, can effectively alleviate anxiety in patients, especially children, and improve treatment adherence. In medical education and professional training, VR provides safe training platforms for radiation oncologists, medical physicists, and radiation therapists through the construction of high-fidelity virtual environments. These platforms can be used for training skills in target volume delineation, treatment plan evaluation, and equipment quality control, thereby significantly improving training efficiency and quality. Furthermore, VR technology enables three-dimensional visualization and intuitive evaluation of treatment plans, facilitates multidisciplinary team (MDT) collaboration, and provides new paradigms for the development of real-time guidance technologies that integrate with augmented reality. This article systematically reviews the current applications of VR technology in the clinical practice, medical education, radiation protection, and scientific research of radiotherapy. It also discusses future prospects for integrating VR with artificial intelligence (AI), augmented reality (AR), and haptic feedback technologies. This review provides a valuable reference for the standardized application of VR technology in radiotherapy and radiation protection in China.

AIM: To investigate the research status and hotspots in the field of ocular trauma over the past two decades using bibliometric software CiteSpace and VOSviewer.METHODS: A bibliometric study. Relevant literature on ocular trauma published in the past 20 a was retrieved from the CNKI database and Web of Science Core Collection in June 2025. EndNote X9 was used for literature management and verification. Microsoft Office Excel 2019 was employed for data management and statistics, with graphical representations created for frequency data. CiteSpace and VOSviewer were utilized to construct and analyze visual maps of authors, institutions, countries/regions, journals, and keywords.RESULTS: A total of 3 437 valid articles were included(911 in Chinese, 2 526 in English). English publications grew at an average annual rate of 12.7%(peak: 289 articles in 2021), while Chinese articles decreased from 31.2% in 2005(peak: 149 articles)to 6.3% in 2024. Chinese scholars showed an early surge in output but a subsequent declining trend, necessitating enhanced sustained research investment and translational outcomes. The United States(682 articles), China(272 articles), and India(206 articles)formed a core collaborative triangle, with a transnational collaboration rate of 68.2%. Six author clusters(e.g., Yan Hua/Zhang Maonian, et al.)demonstrated strong intra-group collaboration but minimal inter-group cooperation. Analysis of high-frequency keywords and burst terms revealed six global research hotspots: 1)ocular trauma score and minimally invasive vitrectomy; 2)optical coherence tomography(OCT)/ultrasound biomicroscopy(UBM)-guided diagnosis and management of intraocular foreign bodies; 3)amniotic membrane transplantation for chemical injury repair; 4)multimodal assessment of corneal perforation injuries; 5)inflammatory indicators for diagnosing endophthalmitis as a traumatic complication; 6)family-based interventions for preventing and controlling pediatric ocular trauma. Trends indicate a shift in research focus from emergency care toward artificial substitutes and full-cycle nursing rehabilitation.CONCLUSION: Differences in research outputs between China and other countries reflect imbalances in prevention policies and medical resource allocation. China should strengthen sustained investment and overcome collaboration barriers to jointly advance ocular trauma research toward full-cycle precision management.

Zebrafish larvae are useful for identifying chemicals against lateral line (LL) hair cell (HC) damage and this type of chemical screen mainly focuses on searching for protectors against cell death. To expand the candidate pool of HC protectors, a self-built acoustic escape response (AER)-detecting system was developed to apply both low-frequency near-field sound transmission and AER image acquisition/processing modules. The device quickly confirmed the changed LL HC functions caused by most known ototoxins, protectors, and neural transmission modifiers, or knockdown of LL HC-expressing genes. With ten devices wired in tandem, five 'hit' chemicals were identified from 124 cyclin-dependent kinase inhibitors to partially restore cisplatin-damaged AER in less than a day. AS2863619, ribociclib, and SU9516 among the hits, protected the HCs in the mouse cochlea. Therefore, using free-swimming larval zebrafish, the self-made AER-detecting device can efficiently identify compounds that are protective against HC damage, including cell death and loss-of-function.
Animals ; Zebrafish ; Hair Cells, Auditory/physiology* ; Lateral Line System/cytology* ; Escape Reaction/physiology* ; Larva ; Mice ; Cisplatin/toxicity* ; Drug Evaluation, Preclinical/methods*

[Objective] To investigate the antigen and gene frequency distribution of the MNS blood group system in the Han population of voluntary blood donors in Suzhou, and to explore the polymorphism of rare MNS blood group genes, in order to improve the construction of the local rare blood group database. [Methods] A total of 8 034 whole blood samples were randomly collected from Han blood donors at our station from October 2023 to June 2024. The MNS blood group phenotypes were identified using serological methods. Gene frequencies were analyzed and compared with those of ethnic populations in other regions. Rare MNS phenotype samples were subjected to gene sequencing. [Results] The distribution of MNS blood group system phenotypes within the population was as follows: the MM, NN, and MN phenotypes accounted for 23.00%, 27.12%, and 49.88% respectively; the SS, ss, and Ss phenotypes accounted for 0.30%, 90.99%, and 8.70% respectively. The gene frequencies of M, N, S, and s were 0.4794, 0.5206, 0.0465, and 0.9534 respectively. Chi-squared tests confirmed adherence to Hardy-Weinberg equilibrium with P-values of 0.997 and 0.349, showing statistical significance compared to some other regional ethnic populations (P<0.05). Additionally, one rare serological phenotype, S-s-, with a frequency of 0.01%, was identified. [Conclusion] The MNS blood group system in the Han population of voluntary blood donors in Suzhou exhibits polymorphism and regional distribution characteristics. Gene frequencies differ from those observed in other regions of China. It is essential to enhance the establishment of a rare blood type database in Suzhou to provide data support for precise clinical transfusion.

Keratoconus is a progressive eye disease that primarily affects individuals in adolescence and early adult-hood.Dilating changes in the cornea cause it to thin and become steeper,resulting in irregular astigmatism and decreased vision.Keratoconus has multiple etiologies and pathogenic factors,including genetic,environmental,biomechanical and cellular factors.Environmental factors encompass eye rubbing,UV exposure,and wearing contact lenses.At the cellular level,the interaction of complex factors such as hormonal changes,extracellular enzyme activity,and changes in biochemi-cal and biomechanical signaling pathways disrupts collagen crosslinking within the stroma,leading to the loss and distortion of the integrity of normal corneal anatomical structures.Detection of keratoconus in its early stages remains a challenge,and corneal topographic maps are the primary diagnostic tool for keratoconus.However,in early cases,the use of a single parameter to diagnose keratoconus is not sufficient.In addition to corneal topographic maps,corneal thickness measure-ments and high-order aberration data are now commonly used detection methods.Clinically,keratoconus is diagnosed by clinical examination and corneal imaging.Advanced imaging platforms can improve the detection rate of keratoconus,facil-itating early diagnosis and monitoring of disease progression.Treatment strategies for keratoconus are tailored to the severi-ty and progression of the disease.In the early stages,glasses or soft contact lenses for vision correction are sufficient.As the disease progresses,rigid breathable contact lenses or scleral contact lenses may be needed.Corneal crosslinking has emerged as a key treatment aimed at stopping the progression of corneal dilation.The epidemiology,pathogenesis and treatment of keratoconus will be comprehensively reviewed in this paper.