ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

ObjectiveAge-related macular degeneration （AMD） is one of the leading causes of low vision and blindness in people over 50 years old， and dry AMD （dAMD） is one type for which there is currently no clear treatment. On the basis of the diagnosis and clinical characteristics of dAMD in traditional Chinese and Western medicine， this paper evaluated the fitting degrees of existing animal models of dAMD with clinical characteristics according to the evaluation methods of animal models， and put forward suggestions and prospects. MethodsLiterature on animal models of dAMD was searched against database， and the characteristics of the models were assigned according to the diagnosis criteria of diseases and syndromes of traditional Chinese and Western medicine， and the fitting degrees of the models with clinical characteristics were analyzed and evaluated. ResultsAt present， the animal models of dAMD are mainly established targeting complement factors， chemokines， oxidative damage， lipid/glucose metabolism， and natural strains. Most of the models can simulate the major pathological changes of dAMD， showing the fitting degree of 25%-50% with clinical characteristics in Western medicine. However， the evaluation of traditional Chinese medicine （TCM） syndromes， especially the evaluation of secondary syndromes， is missing， and the models present low fitting degrees with the clinical characteristics in TCM. ConclusionExisting animal models of dAMD are mostly established under the guidance of Western diagnostic standards， which reproduce the main disease characteristics of Western medicine and lack observation of TCM syndromes. Future studies can pay attention to the intervention factors and evaluation systems of spleen deficiency Qi deficiency and liver-kidney Yin deficiency syndrome and build the animal model of dAMD with integration of disease and syndrome based on clinical characteristics of traditional Chinese and Western medicine.

Porcine epidemic diarrhea virus (PEDV) is an intestinal coronavirus that can cause porcine epidemic diarrhea, leading to diarrhea, vomiting, weight loss, and even death in piglets. Due to the diversity of PEDV strains, traditional vaccines are difficult to sustainably and effectively prevent and control PEDV. This article reviews the strategies and mechanisms of active substances in regulating intracellular signaling pathways, viral proteins, and microbial metabolites to enhance the host immune function against PEDV. It emphasizes the prevention of PEDV resistance and the potential harm of PEDV breaking through interspecies barriers to the human society, aiming to provide reliable theoretical support for the development of new antiviral drugs or vaccines.
Porcine epidemic diarrhea virus/immunology* ; Animals ; Swine ; Swine Diseases/prevention & control* ; Antiviral Agents/pharmacology* ; Coronavirus Infections/virology* ; Viral Vaccines/immunology* ; Humans ; Signal Transduction

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

This research study focuses on addressing the limitations of current neuropathic pain (NP) treatments by developing a novel dual-target modulator, E0199, targeting both Na_V1.7, Na_V1.8, and Na_V1.9 and K_V7 channels, a crucial regulator in controlling NP symptoms. The objective of the study was to synthesize a compound capable of modulating these channels to alleviate NP. Through an experimental design involving both in vitro and in vivo methods, E0199 was tested for its efficacy on ion channels and its therapeutic potential in a chronic constriction injury (CCI) mouse model. The results demonstrated that E0199 significantly inhibited Na_V1.7, Na_V1.8, and Na_V1.9 channels with a particularly low half maximal inhibitory concentration (IC₅₀) for Na_V1.9 by promoting sodium channel inactivation, and also effectively increased K_V7.2/7.3, K_V7.2, and K_V7.5 channels, excluding K_V7.1 by promoting potassium channel activation. This dual action significantly reduced the excitability of dorsal root ganglion neurons and alleviated pain hypersensitivity in mice at low doses, indicating a potent analgesic effect without affecting heart and skeletal muscle ion channels critically. The safety of E0199 was supported by neurobehavioral evaluations. Conclusively, E0199 represents a ground-breaking approach in NP treatment, showcasing the potential of dual-target small-molecule compounds in providing a more effective and safe therapeutic option for NP. This study introduces a promising direction for the future development of NP therapeutics.

AIM:To establish an optimal protocol for isolating and extracting mouse hepatocellular carcinoma H22 cell-detrived microparticles(H22-MPs),evaluate their stimulating effect on dendritic cells(DC),and investigate the cytotoxic capacity of CD8+T cells induced by H22-MPs on hepatocellular carcinoma cells.METHODS:The H22-MPs were extracted by high-speed differential centrifugation,and the morphology of H22-MPs was observed by transmis-sion electron microscopy.The particle size distribution of H22-MPs was detected by dynamic light scattering,and the ex-pression of vesicle surface markers was detected by Western blot.The protein components and pathways involved by MPs were analyzed by labeling free quantitative proteomics combining with bioinformatics GO and KEGG enrichment methods.The effect of MPs antigen on the expression of CD11c,a mature marker of DC,was detected by laser confocal microscopy.Next,CD8+T cells were sorted by magnetic beads,and the secretion of tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ)and interleukin-2(IL-2)in the supernatant of CD8+T cells stimulated by DC loaded with H22-MPs was detected by ELISA.Lactate dehydrogenase(LDH)test was conducted to evaluate the specific killing effect of CD8+T cells induced by DC loaded with H22-MPs on hepatocellular carcinoma cells.RESULTS:The results showed that the morphology,size and vesicle markers of H22-MPs met the requirements.Most of the H22-MPs protein antigens were derived from its parent cell H22 and coordinated various signal transduction pathways in the cells.Subsequently,it was detected that H22-MPs increased the expression of CD11c on the surface of DC,and H22-MPs were mainly localized in the lysosomes of DC.In addition,DC loaded with H22-MPs stimulated CD8+T to release high levels of TNF-α,IFN-γ and IL-2,and it also pro-moted CD8+T to overexpress CD69,thus inducing CD8+T to killhepatocellular carcinoma cells specifically.CONCLU-SION:H22-MPs promote the maturation of DC,and the mature DC may induce CD8+T cells to play an anti-hepatocellu-lar carcinoma immune response by promoting the activation of CD8+T cells.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To analyze the application trends and research hotspots of brain-computer interface(BCI)technology in stroke rehabilitation over the past five years.Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,2021 and August,2025 were retrieved from the Web of Science Core Collection database.CiteSpace 6.4.R1 was used for visualiza-tion analysis.Results A total of 458 papers were included.The annual number of publications remained at a high level.China was the leading country in publication output,with Fudan University and Aalborg University as the top institutions.The most prolific author was Mads R.Jochumsen,while G.Pfurtscheller had the highest citation frequency.The key-words and burst terms with the highest frequency in this field were brain-computer interface,motor imagery,up-per limb and deep learning.Conclusion Over the past five years,research on BCI in stroke rehabilitation has maintained a high publication volume.The research hotspots focus on innovations in BCI algorithm technology and multidimensional validation of neu-ral mechanisms and rehabilitation efficacy.

Currently,a wide range of oral antibacterial materials are clinically used,including metal element antibacterial materials(such as silver,zinc,copper,titanium),and non-metal element antibacterial materials(such as fluorine).In recent years,cerium ox-ide nanoparticles have attracted great interest in the field of oral medicine due to their unique antibacterial,anti-inflammatory,antioxi-dant,redox capabilities.At the same time,they also have the characteristics of promoting tissue regeneration,inhibiting biofilm forma-tion and good biocompatibility.To enhance the performance of oral materials,nanoparticles have been integrated into products such as composite resins,adhesives,and denture systems.Additionally,they have shown potential for modifying oral ceramic materials and an-ti-tumor effects.This review focuses on the latest research progress in various fields of oral medicine,including endodontics,periodon-tology,implantology,prosthodontics,and orthodontics,based on the biological characteristics of nano-cerium oxide.Our goal is to re-veal the potential of cerium oxide in the diagnosis and treatment of oral diseases and to provide ideas and references for the expansion of clinical applications in oral medicine.

AIM:To establish an optimal protocol for isolating and extracting mouse hepatocellular carcinoma H22 cell-detrived microparticles(H22-MPs),evaluate their stimulating effect on dendritic cells(DC),and investigate the cytotoxic capacity of CD8+T cells induced by H22-MPs on hepatocellular carcinoma cells.METHODS:The H22-MPs were extracted by high-speed differential centrifugation,and the morphology of H22-MPs was observed by transmis-sion electron microscopy.The particle size distribution of H22-MPs was detected by dynamic light scattering,and the ex-pression of vesicle surface markers was detected by Western blot.The protein components and pathways involved by MPs were analyzed by labeling free quantitative proteomics combining with bioinformatics GO and KEGG enrichment methods.The effect of MPs antigen on the expression of CD11c,a mature marker of DC,was detected by laser confocal microscopy.Next,CD8+T cells were sorted by magnetic beads,and the secretion of tumor necrosis factor-α(TNF-α),interferon-γ(IFN-γ)and interleukin-2(IL-2)in the supernatant of CD8+T cells stimulated by DC loaded with H22-MPs was detected by ELISA.Lactate dehydrogenase(LDH)test was conducted to evaluate the specific killing effect of CD8+T cells induced by DC loaded with H22-MPs on hepatocellular carcinoma cells.RESULTS:The results showed that the morphology,size and vesicle markers of H22-MPs met the requirements.Most of the H22-MPs protein antigens were derived from its parent cell H22 and coordinated various signal transduction pathways in the cells.Subsequently,it was detected that H22-MPs increased the expression of CD11c on the surface of DC,and H22-MPs were mainly localized in the lysosomes of DC.In addition,DC loaded with H22-MPs stimulated CD8+T to release high levels of TNF-α,IFN-γ and IL-2,and it also pro-moted CD8+T to overexpress CD69,thus inducing CD8+T to killhepatocellular carcinoma cells specifically.CONCLU-SION:H22-MPs promote the maturation of DC,and the mature DC may induce CD8+T cells to play an anti-hepatocellu-lar carcinoma immune response by promoting the activation of CD8+T cells.