AIM: To investigate the efficacy and safety of dexamethasone versus conbercept in the treatment of diabetic macular edema(DME)with different optical coherence tomography(OCT)subtypes.METHODS: A total of 160 DME patients(160 eyes)admitted to our hospital from January 2021 to March 2023 were prospectively selected, and the patients were randomly divided into dexamethasone intravitreal implant group and conbercept group, with 80 cases(80 eyes)in each group, and DME patients were divided into 51 eyes with serous retinal detachment(SRD), 55 eyes with cystoid macular edema(CME), and 54 eyes with diffuse retinal thickening(DRT)according to OCT characteristics. The best corrected visual acuity(BCVA), central macular thickness(CMT), intraocular pressure and adverse reactions were compared before treatment and at 2, 3 and 6 mo postoperatively.RESULTS: There were differences in BCVA, CMT and intraocular pressure between the two groups at 2, 3 and 6 mo compared with those before operation(all P<0.05). There were differences in BCVA, CMT and intraocular pressure between the dexamethasone intravitreal implant group and the conbercept group in the treatment of patients with different types of DME(all P<0.05). The BCVA of patients with DRT and SRD types in the dexamethasone intravitreal implant group was improved at 3 and 6 mo after treatment compared with that in the conbercept group(all P<0.05). At 6 mo after treatment, the CMT of patients with DRT type in the dexamethasone intravitreal implant group was lower than that in the conbercept group(P<0.05). During the follow-up period, none of the patients experienced adverse events such as cataract exacerbation or retinal detachment.CONCLUSION: Both dexamethasone intravitreal implant and conbercept treatment can improve visual function and macular retinal morphology in patients with different OCT subtypes of DME with good safety, but the dexamethasone intravitreal implant is better than conbercept in the treatment of DRT type.

Dysphagia is a common complication of stroke. Combining the principles of traditional Chinese medicine with modern research findings， it is proposed that "latent pathogen in the cerebral collaterals" constitutes the core pathogenesis of post-stroke dysphagia （PSD）. In clinical practice， treatment is tailored according to the location of PSD. During the oral stage， when the pathogen invades the face and mouth， resulting in excessive salivation， acupoints are primarily selected from the foot shaoyin （少阴） kidney channel， in combination with ren mai （任脉） ， du mai （督脉）， chong mai （冲脉） and the spleen channel， to replenish essence and fill the marrow， dispel dampness and unblock the channels. In the pharyngeal stage， as the pathogen obstructs the throat， disrupting normal swallowing， the therapy emphasizes dredging the shaoyang （少阳） channel and warming and tonifying the jueyin （厥阴） channel， by taking acupoints mainly from the hand and foot shaoyang channels， along with the jueyin channels， so as to soothe the liver and promote bile secretion， regulate and harmonize qi and blood. During the esophageal stage， where the pathogen damages the esophagus， impeding food passage， the treatment emphasizes activating the yangming （阳明） channels and regulating taiyin （太阴） channels； acupoints are mainly selected from the foot yangming stomach channel， along with the taiyin channels， aiming to warm yang， unblock the channels and dispel stasis.

ObjectiveTo investigate the regulatory effect of icariin （ICA） on transforming growth factor-β₁ （TGF-β₁）/Smad pathway in bone microvascular endothelial cells （BMECs） and the effect on autophagy in BMECs. MethodsBMECs were isolated and cultured， and the cell types were identified by immunofluorescence. Cells were divided into the control group， model group （0.1 g·L^-1 methyl prednisolone）， ICA group （0.1 g·L^-1 methyl prednisolone +1×10^-5 mol·L^-1 ICA）， and TGF-β inhibitor group （0.1 g·L^-1 methyl prednisolone +1×10^-5 mol·L^-1 ICA +1×10^-5 mol·L^-1 LY2157299）. Transmission electron microscopy was used to observe the ultrastructure and autophagosome number of BMECs. Autophagy double-standard adenovirus was used to monitor the confocal autophagy flow generation of each cell. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to detect the gene and protein expression of autophagy in the TGF-β₁/ Smad pathway. ResultsAfter cell separation culture， platelet endothelial cell adhesion molecule （CD31） and von willebrand factor （vWF） immunofluorescence identified BMECs. Transmission electron microscopy showed that the cell membrane was damaged， and the nucleus was pyknotic and broken in the model group. Compared with the model group， the ICA group had complete cell membranes， clear structures， with autophagy-lysosome sparsely distributed. The confocal photo showed that BMECs had autophagosomes and autophagy-lysosomes， and the autophagy expression of the ICA group was similar to that of the blank group. Compared with the blank group， in the model group and the LY2157299 group， autophagosomes and autophagy-lysosomes were barely seen in the autophagy flow. Compared with the blank group， the mRNA and protein expressions of autophagy effector protein 1 （Beclin1） and microtubule-associated protein 1 light chain 3B （LC3B） in the model group were significantly decreased （P<0.01）， and those of ubiquitin-binding protein （p62） were significantly increased （P<0.01）. The mRNA expression of TGF-β₁， Smad homolog 2 （Smad2）， and Smad homolog 3 （Smad3） decreased （P<0.05， P<0.01）. The protein expressions of TGF-β₁， p-Smad2， and p-Smad3 were significantly decreased （P<0.01）. Compared with those of the model group， the mRNA and protein expression of Beclin1 and LC3B in BMECs of the ICA group increased （P<0.01）， and those of p62 significantly reduced （P<0.01）. The mRNA expression of TGF-β₁， Smad2， and Smad3 increased significantly （P<0.01）. The protein expression of TGF-β₁， p-Smad2， and p-Smad3 increased significantly （P<0.01）. Compared with those in the model group， the mRNA and protein expressions of Beclin1， LC3B， and p62 in the inhibitor group were not statistically significant. The expression of key genes and proteins of the TGF-β₁ pathway in the inhibitor group was not statistically significant. ConclusionICA can promote glucocorticoid-induced autophagy expression of BMECs， and its mechanism may be related to activating the TGF-β₁/Smad signaling pathway.

Steroid-induced osteonecrosis of the femoral head （SONFH） is a severe musculoskeletal disorder often induced by the prolonged or excessive use of glucocorticoids. Characterized by ischemia of bone cells， necrosis， and trabecular fractures， SONFH is accompanied by pain， femoral head collapse， and joint dysfunction， which can lead to disability in severe cases. The pathogenesis of SONFH involves hormone-induced osteoblast apoptosis， bone microvascular endothelial cell （BMEC） apoptosis， oxidative stress， and inflammatory responses. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a pivotal role in the development of the disease. Modulating the PI3K/Akt signaling pathway can promote Akt phosphorylation， thereby stimulating the osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts， promoting angiogenesis in BMECs， and inhibiting osteoclastogenesis. The research on the treatment of SONFH with traditional Chinese medicine （TCM） has gained increasing attention. Recent studies have shown that TCM monomers and compounds have potential therapeutic effect on SONFH by intervening in the PI3K/Akt signaling pathway. These studies not only provide a scientific basis for the application of TCM in the treatment of SONFH but also offer new ideas for the development of new therapeutic strategies. This review summarized the progress in Chinese and international research on the PI3K/Akt signaling pathway in SONFH over the past five years. It involved the composition and transmission mechanisms of the signaling pathway， as well as its regulatory effects on osteoblasts， mesenchymal stem cells， osteoclasts， BMECs， and other cells. Additionally， the review explored the TCM understanding of SONFH and the application of TCM monomers and compounds in the intervention of the PI3K/Akt pathway. By systematically analyzing and organizing these research findings， this article aimed to provide references and point out directions for the clinical prevention and treatment of SONFH and promote further development of TCM in this field. With in-depth research on the PI3K/Akt pathway and the modern application of TCM， it is expected to bring safer and more effective treatment options for patients with SONFH.

Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.

Objective:To effectively quantify and evaluate the quality of different deformation registration algorithms, in order to enhance the possibility of implementing deformation registration in clinical practice.Methods:The Jacobian determinant mean (JDM) is proposed based on the Jacobian determinant (JD) of displacement vector field (DVF), and the Jacobian determinant error (DJDE) is introduced by incorporating the JD of the inverse DVF. The optical flow method (OF-DIR) and fast demons method with elastic regularization (FD-DIR) were tested on nasopharyngeal and lung cancer datasets. Finally, JDM and DJDE with the Jacobian determinant negative percentage (JDNP), inverse consistency error (ICE) and normalized mean square error (NMSE) were used to evaluate the registration algorithms and compare the differences evaluation indicators in different tumor images and different algorithms, and the receiver operating curve (ROC) was analyzed in evaluation.Results:In lung cancer, OF-DIR outperformed FD-DIR in terms of JDM, NMSE, DJDE and ICE, and the difference was statistically significant( z = -2.24, -4.84, t = 4.01, 6.54, P<0.05). In nasopharyngeal carcinoma, DJDE, ICE and NMSE of OF-DIR were superior to FD-DIR, and the difference was statistically significant ( t = 4.46, -7.49, z = -2.22, P<0.05), but there was no significant difference in JDM ( P>0.05). In lung cancer and nasopharyngeal carcinoma, JDNP of OF-DIR was worse than that of FD-DIR, and the difference was statistically significant ( z = -4.29, -4.02, P<0.01). In addition, DJDE is more specific and sensitive on ROC curve (AUC=0.77), and has different performance result for tumor images at different sites. Conclusions:The JDM and DJDE evaluation metrics proposed are effective for deformation registration algorithms. OF-DIR is suitable for both lung cancer and nasopharyngeal carcinoma, while the influence of organ motion on the registration effect should be considered when using FD-DIR.

Objective:To investigated the safety and efficacy of donor-derived CD19+ or sequential CD19+ CD22+ chimeric antigen receptor T-cell (CAR-T) therapy in patients with B-cell acute lymphoblastic leukemia (B-ALL) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:The data of 22 patients with B-ALL who relapsed after allo-HSCT and who underwent donor-derived CAR-T therapy at the Zhujiang Hospital of Southern Medical University and the 920th Hospital of Joint Logistics Support Force of the People’s Liberation Army of China from September 2015 to December 2022 were retrospectively analyzed. The primary endpoint was overall survival (OS), and the secondary endpoints were event-free survival (EFS), complete remission (CR) rate, and Grade 3-4 adverse events.Results:A total of 81.82% ( n=18) of the 22 patients achieved minimal residual disease-negative CR after CAR-T infusion. The median follow-up time was 1037 (95% CI 546–1509) days, and the median OS and EFS were 287 (95% CI 132-441) days and 212 (95% CI 120-303) days, respectively. The 6-month OS and EFS rates were 67.90% (95% CI 48.30%-84.50%) and 58.70% (95% CI 37.92%-79.48%), respectively, and the 1-year OS and EFS rates were 41.10% (95% CI 19.15%-63.05%) and 34.30% (95% CI 13.92%-54.68%), respectively. Grade 1-2 cytokine release syndrome occurred in 36.36% ( n=8) of the patients, and grade 3-4 occurred in 13.64% of the patients ( n=3). Grade 2 and 4 graft-versus-host disease occurred in two patients. Conclusion:Donor-derived CAR-T therapy is safe and effective in patients with relapsed B-ALL after allo-HSCT.

Ameloblastoma is a benign tumor characterized by locally invasive phenotypes,leading to facial bone destruction and a high recurrence rate.However,the mechanisms governing tumor initiation and recurrence are poorly understood.Here,we uncovered cellular landscapes and mechanisms that underlie tumor recurrence in ameloblastoma at single-cell resolution.Our results revealed that ameloblastoma exhibits five tumor subpopulations varying with respect to immune response(IR),bone remodeling(BR),tooth development(TD),epithelial development(ED),and cell cycle(CC)signatures.Of note,we found that CC ameloblastoma cells were endowed with stemness and contributed to tumor recurrence,which was dominated by the EZH2-mediated program.Targeting EZH2 effectively eliminated CC ameloblastoma cells and inhibited tumor growth in ameloblastoma patient-derived organoids.These data described the tumor subpopulation and clarified the identity,function,and regulatory mechanism of CC ameloblastoma cells,providing a potential therapeutic target for ameloblastoma.