Retinitis pigmentosa （RP） is the most common hereditary blinding eye disease in clinical practice， with the pathogenesis remaining unclear. Patients experience progressive apoptosis of retinal photoreceptor cells， accompanied by degeneration of retinal pigment epithelium （RPE） cells. Current Western medical treatments mainly focus on gene therapy and stem cell transplantation， showing limited efficacy. In contrast， clinical observations have confirmed the therapeutic effects of traditional Chinese medicine （TCM） treatments. Establishing an RP animal model that aligns with the diagnostic features of both TCM and Western medicine could help combine the strengths of both approaches， thereby broadening the treatment options for RP. This study categorizes and summarizes the existing RP animal models in terms of classification， types， inheritance patterns， and alignment with clinical manifestations. It is found that current RP models are primarily derived from natural animal models such as RD mice and RCS rats， transgenic animal models like RPE-65 knockout mice and rhodopsin gene knockout mice， and chemically induced models such as those created by monochromatic light exposure or N-ethyl-N-nitrosourea （ENU） administration. These three categories of models focus more on detecting RP-related histopathological， molecular biological， and cellular immunological indicators， but offer limited observation of the overall characteristics of the disease and lack insight into syndrome differentiation. Although RP is a congenital genetic disease， its progression is influenced by acquired factors such as environment， constitution， emotions， and care. Current models do not fully capture the characteristics of this disease. Therefore， establishing an RP animal model based on the diagnostic features of both TCM and Western medicine will have significant implications for future experimental and clinical research.

Retinitis pigmentosa （RP） is the most common hereditary blinding eye disease in clinical practice， with the pathogenesis remaining unclear. Patients experience progressive apoptosis of retinal photoreceptor cells， accompanied by degeneration of retinal pigment epithelium （RPE） cells. Current Western medical treatments mainly focus on gene therapy and stem cell transplantation， showing limited efficacy. In contrast， clinical observations have confirmed the therapeutic effects of traditional Chinese medicine （TCM） treatments. Establishing an RP animal model that aligns with the diagnostic features of both TCM and Western medicine could help combine the strengths of both approaches， thereby broadening the treatment options for RP. This study categorizes and summarizes the existing RP animal models in terms of classification， types， inheritance patterns， and alignment with clinical manifestations. It is found that current RP models are primarily derived from natural animal models such as RD mice and RCS rats， transgenic animal models like RPE-65 knockout mice and rhodopsin gene knockout mice， and chemically induced models such as those created by monochromatic light exposure or N-ethyl-N-nitrosourea （ENU） administration. These three categories of models focus more on detecting RP-related histopathological， molecular biological， and cellular immunological indicators， but offer limited observation of the overall characteristics of the disease and lack insight into syndrome differentiation. Although RP is a congenital genetic disease， its progression is influenced by acquired factors such as environment， constitution， emotions， and care. Current models do not fully capture the characteristics of this disease. Therefore， establishing an RP animal model based on the diagnostic features of both TCM and Western medicine will have significant implications for future experimental and clinical research.

ObjectiveTo analyze the research hotspots and development trends in the field of spinal cord stimulation (SCS) for spinal cord injury (SCI). MethodsLiterature about SCS for SCI was retrieve from the Web of Science (WOS) Core Collection database, with a time range from January, 1999 to July, 2025. VOSviewer 1.6.20 and CiteSpace 6.4.R2 were used to analyze the annual publication volume, countries, authors, institutions, journals and keywords. ResultsA total of 636 literatures were included. From 1999 to 2025, the overall publication trend in this field showed an upward trajectory, with recent years fluctuating but tending to stabilize. The country with the most publications was the United States (429 papers), followed by Russia (98 papers) and China (70 papers). The institution with the highest number of publications was the University of California, Los Angeles (76 papers), the author with the most publications was V. Reggie Edgerton (70 papers), and the journal with the most publications was Journal of Clinical Medicine (31 papers). The most frequently cited study focused on exploring the combination of epidural spinal cord stimulation with task-specific training to restore motor function in patients with complete SCI. Keyword analysis showed that the research hotspots in this field were mainly focused on neuroregulation mechanisms, recovery of motor and autonomic nervous dysfunction, artificial intelligence, closed-loop stimulation and brain-computer interface technology innovations. In recent years, the research focus gradually shifted from basic mechanisms to personalized and precise multifunctional rehabilitation strategies. ConclusionThe field of SCS for SCI has undergone phases of basic mechanism exploration and clinical application expansion. Current research hotspots and future trends focus primarily on the development of new stimulation paradigms and combined innovative technologies.

ObjectiveTo investigate the effects of Scutellariae Radix combined with epidermal growth factor receptor-tyrosine kinase inhibitors （EGFR-TKIs） on cell proliferation， apoptosis， cancer stem cell （CSC） marker expression， and metabolism in non-small cell lung cancer （NSCLC） cells. MethodsThe anti-tumor effects of Scutellariae Radix and EGFR-TKIs （gefitinib or osimertinib） in NSCLC cells were evaluated using the cell counting kit-8 （CCK-8） and Annexin V-FITC/propidium iodide （PI） double staining apoptosis assay. The activity of Scutellariae Radix and EGFR-TKIs in three-dimensional （3D） cultures of NSCLC cells was assessed using the CellTiter-Glo® 3D cell viability assay. The mRNA and protein expression levels of CSC markers， sex determining region y box protein 2 （SOX2） and aldehyde dehydrogenase 1 family member A1 （ALDH1A1）， were detected by quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot， respectively. Changes in intracellular reactive oxygen species （ROS） levels were detected by ROS staining， and the redox ratio was detected by femtosecond laser labeling free imaging （FLI）. ResultsUnder both two-dimensional （2D） and 3D culture conditions， compared with the blank group and EGFR-TKI group， the combination group showed significantly reduced cell viability and increased apoptosis rate （P<0.05）. Compared with the EGFR-TKI group， the mRNA and protein levels of CSC markers were significantly downregulated in the combination group （P<0.05）. Additionally， the redox ratio was significantly elevated （P<0.05）， and ROS levels were also increased in the combination group compared with the EGFR-TKI group. ConclusionIn NSCLC cells， Scutellariae Radix enhances the redox ratio and increases ROS levels， thereby inhibiting the expression of CSC markers and strengthening the anti-tumor effects of EGFR-TKIs. This provides a novel molecular mechanism by which Scutellariae Radix may enhance the sensitivity of targeted therapies.

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*

Objective:To explore the status quo of fertility information need of breast cancer patients at childbearing age, and analyze its influencing factors.Methods:From April to October 2023, 400 cases of breast cancer patients of childbearing age in two Class Ⅲ Grade A hospitals in Zhengzhou City were selected by convenience sampling. Patents were investigated with the General Information Questionnaire and the Fertility Information Needs Assessment Questionnaire for Breast Cancer Patients of Childbearing Age. Multiple linear regression was used to analyze the influencing factors of fertility information need of breast cancer patients of childbearing age. A total of 400 questionnaires were distributed, and 385 valid questionnaires were collected, with an effective response rate of 96.25% (385/400) .Results:The 385 breast cancer patients of childbearing age had a high level of need for fertility information with an average score of items (3.17±0.73). The scores for each dimension in descending order of the mean score of items were disease impact information, treatment impact information, psychosocial information, fertility management information, sexual health information, and fertility protection information. Age, marital status, education level, per capita monthly family income and duration of illness were the factors influencing the fertility information need ( P<0.05) . Conclusions:Breast cancer patients of childbearing age have a high level of need for fertility information, and their need is influenced by a number of factors. Medical and nursing staff should improve the fertility information support program based on the real needs of breast cancer patients, and provide personalized fertility information support for breast cancer patients of childbearing age with different characteristics.

Objective:To explore the application of nursing intervention based on the capability, opportunity, motivation-behavior model (COM-B) in stroke patients during the rehabilitation period.Methods:Using the convenience sampling method, 146 stroke patients admitted to the First Affiliated Hospital of Zhengzhou University from February 2021 to February 2024 were selected as the research objects. According to the admission time sequence, they were divided into the COM-B group and the routine group, with 73 cases in each group. The routine group received routine nursing measures, and the COM-B group was intervened with the COM-B intervention, both for 3 months. The scores of the Health Education Self-Management Scale for Stroke Patients (HES-SP), the Exercise of Self-Care Agency Scale (ESCA), the Fugl-Meyer Assessment (FMA), and the Barthel Index of the two groups before and after the intervention were compared.Results:Finally, 72 patients in the COM-B group and 71 patients in the routine group completed the study. After 3 months of intervention, the scores of ESCA, HES-SP, FMA, and the Barthel Index of the two groups were all higher than those before the intervention, and the scores of COM-B group were all higher than those of the routine group, and the differences were statistically significant ( P<0.05) . Conclusions:The application of the COM-B intervention in stroke patients can improve patients' healthy behaviors and self-care abilities, and enhance their limb motor function and activities of daily living abilities, with a good application effect.

Breast cancer is the most common malignant tumor in women and poses a serious threat to their lives and health.Quantitative relaxation parameters are the inherent physical parameters of tissues,which can reflect fine structural characteristics as well as physio-logical and pathological conditions of tissues to a certain extent.Moreover,these parameters offer a real-time,noninvasive measurement method.Currently,quantitative relaxation parameters of magnetic resonance can be determined using traditional multi-echo spin-echo(MESE)T2 mapping techniques and emerging magnetic resonance image complication(MAGiC)techniques.Analysis of tissues using quantitative relaxation parameters can provide valuable clinical diagnostic information.This study reviews the application of quantitative relaxation parameters of magnetic resonance in breast cancer,aiming to provide insights into differential diagnosis,classification,treat-ment planning,and prognosis assessment.

Objective To investigate the effect of human umbilical vein endothelial cells(HUVECs)on the proliferation and stem-ness of human dental pulp stem cells(hDPSCs)silencing with integrin α6(ITGA6).Methods ITGA6 silencing lentivirus was used to interfere the ITGA6 expression of hDPSCs,and its silencing efficiency was detected.Then HUVECs were added to the chambers to co-culture,and the experiments were divided into four groups(sh-NC,sh-ITGA6,sh-NC+HUVECs and sh-ITGA6+HUVECs).hDP-SCs in the sh-NC and sh-ITGA6 groups were transfected with sh-NC and sh-ITGA6 respectively.hDPSCs transfected with sh-NC and sh-ITGA6 were co-cultured with HUVECs in the sh-NC+HUVECs group and sh-ITGA6+HUVECs group respectively.The proliferation capacity of hDPSCs of each group was examined by CCK-8 and EdU on day 7.Immunofluorescence detected the expression of Stro-1,and Real-time PCR was used to detect the expression of Oct4 and Nanog.Results ①Fluorescence microscopy showed that the trans-fection efficiency was about 80％.Real-time PCR and Western blot results showed that sh-ITGA6 lentivirus effectively interfered with ITGA6 expression in hDPSCs.②CCK-8 results showed that on day 5 of co-culture,the proliferation ability of the sh-ITGA6+HUVECs group was superior to that of the sh-ITGA6 group(P＜0.05);on day 7,the proliferation ability of the sh-NC+HUVECs and sh-ITGA6+HUVECs group was superior to that of the sh-NC and sh-ITGA6 group(P＜0.05).EdU results showed that the DNA synthesis ability of hDPSCs in the co-culture group was significantly stronger than that in the single-culture group(P＜0.05).③Immunofluorescence stai-ning revealed that the expression of Stro-1 in the co-culture group was significantly stronger than that in the single-culture group.④Re-al-time PCR results showed that the expression of Oct4 in the co-culture group was higher than that in the single-culture group(P＜0.05);the expression of Nanog in hDPSCs with sh-ITGA6 was elevated by the addition of HUVECs co-culture(P＜0.05).Conclusion HUVECs significantly enhance the proliferation and stemness of hDPSCs silencing integrin α6.

Objective:To explore the effects of different electrical stimulations on cerebral cortex excitability, upper limb motor function, left-right coordination and counterbalance mechanisms among stroke survivors.Methods:Thirty stroke survivors with hemiplegia were randomly divided into a neuromuscular electrical stimulation (NMES) group and a contralateral control functional electrical stimulation (CCFES) group, each of 15. In addition to conventional rehabilitation treatment, the NMES group was additionally given daily 20-minute NMES to promote elbow extension and wrist extension 5 days a week for 4 weeks, while the CCFES group was given CCFES, instead. Before and after the treatment, the bilateral resting motor thresholds (RMTs), motor evoked potential (MEPs) cortical latency, MEP amplitude and inter-hemisphere asymmetry (IHA) index were measured. The Fugl-Meyer upper extremity assessment (FMA-UE) and the Hong Kong version of the functional test for hemiplegic upper extremities (FTHUE-HK) were employed to evaluate the subjects′ motor functioning. Pearson correlation coefficients relating cortical excitability with upper extremity function were computed.Results:After the treatments, significant improvement was observed in both groups in the latency and amplitude of the RMT and MEP of the affected hemisphere, the IHA value, as well as the FMA-UE and FTHUE-HK scores. The CCFES group then had scores significantly superior to those in the NMES group, on average. The improvements in the FMA-UE and FTHUE-HK scores were significantly positively correlated with the gap in IHA values and the MEP amplitude of the affected hemisphere.Conclusions:Both NMES and CCFES can improve the excitability of the affected motor cortex after a stroke. They help to restore the dynamic balance between the brain hemispheres for better motor functioning of the upper limbs. CCFES has a better therapeutic effect than NMES. The improvement in upper limb motor function is positively correlated with the increase in cortical excitability of the affected hemisphere and the normalization of inter-hemisphere asymmetry.