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.

Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective:To identify the risk factors of venous thromboembolism (VTE) in postoperative renal transplantation recipients by Meta-analysis, and to provide evidence-based reference for clinical staff to develop early VTE prevention strategies.Methods:PubMed, Web of Science, Cochrane Library, Embase, China National Knowledge Infrastructure, VIP database, Wanfang database and Chinese Biomedical Literature Database were searched to collect the studies on the risk factors of postoperative VTE in kidney transplant recipients. The search period was from the establishment of the database to March 10, 2024. After literature screening, data extraction and quality evaluation were conducted independently by two researchers, Meta-analysis was performed using RevMan 5.3 software.Results:A total of 15 literatures with 20 influencing factors were included. Meta-analysis showed that age ( MD = 6.36, 95% CI 2.56-10.17, P<0.05), body mass index ( MD = 1.83, 95% CI 0.15-3.50, P<0.05), VTE history ( OR = 2.04, 95% CI 1.08-3.86, P<0.05), blood transfusion history ( OR = 3.77, 95% CI 2.43-5.83, P<0.05), glomerular filtration rate ( MD = -5.54, 95% CI -9.93 - -0.91, P<0.05), donor age ( MD = 3.18, 95% CI 1.10-5.25, P<0.05), combination of malignant tumor ( OR = 2.87, 95% CI 1.45-5.68, P<0.05), end-stage renal disease as polycystic kidney disease ( OR = 1.76, 95% CI 1.39-2.22, P<0.05), and interstitial nephritis ( OR = 1.60, 95% CI 1.06-2.40, P<0.05) were the influencing factors for postoperative VTE in renal transplant recipients. Conclusions:Clinical medical staff should actively identify high-risk groups for VTE after kidney transplantation by considering the 8 influencing factors determined by this study, and take targeted measures early to reduce the risk of postoperative VTE.

OBJECTIVE To explore the effect of Astragali Radix-Curcuma Zedoaria-Paridis Rhizoma(Qi-Zhu-Zao)combina-tion on inhibiting the growth and metastasis of colon cancer based on the PINK1/Parkin/EMT signaling pathway.METHODS Thirty male BALB/c mice were randomly assigned to five groups:sham operation group,model group,positive control group,high-dose Qi-Zhu-Zao group(5.85 g·kg-1),and low-dose Qi-Zhu-Zao group(2.925 g·kg-1),with six mice in each group.An orthotopic colon cancer model was established in the mice using CT26.WT cells.After 15 days of treatment,tumor and liver tissues were collected from each group.Hematoxylin and eosin(HE)staining was performed to assess tumor metastasis,and transmission electron microscopy was used to observe mitochondrial autophagy in tumor tissues.The expression of mitochondrial autophagy-related proteins PINK1,Parkin,p62,and LC3-Ⅱ/LC3-Ⅰ was analyzed using Western blot and immunohistochemistry(IHC).Additionally,the expression levels of epithelial-mesenchymal transition(EMT)-related proteins and mRNA,including E-cadherin,N-cadherin,Vimentin,and Snail,were detected using Western blot,qPCR,and IHC staining.RESULTS Compared to the model group,mice in the treatment groups exhibited significantly reduced tumor volumes and fewer metastatic foci.Additionally,liver tissues showed pathological changes,and the overall growth condition of the mice was markedly improved;the tumor tissues in the treatment groups displayed selective mitochon-drial autophagy,accompanied by the formation of autophagosomes.The treatment influenced the PINK1/Parkin pathway-mediated mi-tochondrial autophagy biological process,with PINK1,Parkin,p62,and LC3-Ⅱ/LC3-Ⅰ levels being significantly upregulated(P<0.05,P<0.01),the high-dose group exhibited a more significant impact than the low-dose group(P<0.05,P<0.01).Furthermore,the treatment groups also showed significant reductions in the protein and mRNA levels of N-cadherin,Vimentin,and Snail(P<0.05,P<0.01),along with significant increases in the protein and mRNA levels of E-cadherin(P<0.05,P<0.01),these effects were more pronounced in the high-dose group compared to the low-dose group(P<0.05,P<0.01).CONCLUSION The herbal combination of Qi-Zhu-Zao inhibits tumor growth and metastasis to a certain extent in a mouse model of orthotopic transplantation of colon cancer.The underlying mechanism may involve the restoration of mitochondrial function through the PINK1/Parkin signaling pathway and the inhibition of the epithelial-mesenchymal transition(EMT)process,thereby achieving a therapeutic effect on colon cancer.

Natural products are an important source for innovative drugs,but unclear molecular targets and mechanisms limit their further development and application.The authors proposed a new method for the target identification of natural products based on proteolysis-targeting chimera(PROTAC)technology and quantitative proteomics,and established the targeted degradomics(TGDO) technology for the identification of weak-affinity tar-gets.This article summarizes the standardized workflow and the application of TGDO for target identification of natural products.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

Objective To investigate the association of spleen volume with the risk of non-alcoholic fatty liver disease(NAFLD)as well as their causal relationship.Methods We included 90 NAFLD cases and 47 healthy controls who had received contrast-enhanced computed tomography(CT)scan of the abdomen at the Second Affiliated Hospital of Xi'an Jiaotong University from November 2022 to November 2023.We conducted three-dimensional reconstruction of the spleen through a deep learning network model using a two-stage coarse-to-fine segmentation approach.We compared the two groups using the two-sample t test or Mann-Whitney U test for continuous data and using the chi-square test for categorical data;evaluated the correlation between spleen volume and liver function indicators through Pearson correlation or Spearman rank correlation analyses;determined the factors influencing the development of NAFLD through multivariable Logistic regression analysis;and further assessed the casual relationship between spleen volume and NAFLD using the inverse variance-weighted two-sample Mendelian randomization(IVW-MR)method.Results Spleen volume was significantly larger in NAFLD cases than in controls(272.93±104.16 vs 204.37±81.20 cm3,P<0.001).The Spearman rank correlation analysis showed that spleen volume was positively correlated with the hepatic steatosis index(rs=0.422,P<0.001)and gamma-glutamyl transferase levels(rs=0.211,P=0.047)in patients with NAFLD.The multivariable Logistic regression analysis indicated that spleen volume was an independent risk factor for the development of NAFLD(odds ratio[OR]=1.01,95%confidence interval[CI]:1.00-1.02,P=0.049).The IVW-MR analysis detected a causal relationship between spleen volume and NAFLD(OR=1.16,95%CI:1.05-1.28,P=0.005).Conclusion Increased spleen volume may be a risk factor for the development and progression of NAFLD.Further studies are still needed to investigate the specific mechanism.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.