BACKGROUND:Nanogels can combine the properties of nanoparticles and hydrogels,which have multiple advantages and can play a great role in clinical translation.OJECTIVE:To summarize the self-and cross-linking properties of nanogels,the diagnostic and therapeutic integration strategies they played in a variety of imaging processes,in conjunction with their functional visualization and application properties.METHODS:By searching PubMed,Web of Science,CNKI,and Wanfang databases,English and Chinese search terms were"nanogel,nanohydrogel,imaging,magnetic resonance imaging,fluorescence imaging,ultrasound imaging,photoacoustic imaging,multimodal imaging,therapy,treatment."According to the inclusion criteria,78 articles were finally selected for review.RESULTS AND CONCLUSION:The preparation process of nanogels is significantly affected by their multiple properties and cross-linking mechanisms.Optimization of these properties and mechanisms can help to improve their structural performance and accelerate the translation of their clinical applications.With the trend of integrated diagnosis and treatment,functional visualization of nanogels can effectively image tumors with the help of magnetic resonance imaging,fluorescence imaging,ultrasonography,photoacoustic imaging,and multimodal imaging,which can be of key value in the treatment strategies of various diseases.These findings not only pave the way for improving the preparation methods of nanogels,but also create a robust groundwork for hastening their clinical translation.

BACKGROUND:Nanogels can combine the properties of nanoparticles and hydrogels,which have multiple advantages and can play a great role in clinical translation.OJECTIVE:To summarize the self-and cross-linking properties of nanogels,the diagnostic and therapeutic integration strategies they played in a variety of imaging processes,in conjunction with their functional visualization and application properties.METHODS:By searching PubMed,Web of Science,CNKI,and Wanfang databases,English and Chinese search terms were"nanogel,nanohydrogel,imaging,magnetic resonance imaging,fluorescence imaging,ultrasound imaging,photoacoustic imaging,multimodal imaging,therapy,treatment."According to the inclusion criteria,78 articles were finally selected for review.RESULTS AND CONCLUSION:The preparation process of nanogels is significantly affected by their multiple properties and cross-linking mechanisms.Optimization of these properties and mechanisms can help to improve their structural performance and accelerate the translation of their clinical applications.With the trend of integrated diagnosis and treatment,functional visualization of nanogels can effectively image tumors with the help of magnetic resonance imaging,fluorescence imaging,ultrasonography,photoacoustic imaging,and multimodal imaging,which can be of key value in the treatment strategies of various diseases.These findings not only pave the way for improving the preparation methods of nanogels,but also create a robust groundwork for hastening their clinical translation.

ObjectiveTo establish a new noninvasive， simple， and convenient clinical predictive model by identifying independent predictive factors for rebleeding after endoscopic therapy in cirrhotic patients with esophagogastric variceal bleeding （EGVB）， and to provide a basis for individualized risk assessment and development of clinical intervention strategies. MethodsCirrhotic patients with EGVB who were diagnosed and treated in The First Affiliated Hospital of Xi’an Medical University from September 2018 to October 2023 were enrolled as subjects， and according to whether the patient experienced rebleeding within 1 year after endoscopic therapy， they were divided into rebleeding group with 93 patients and non-rebleeding group with 84 patients. Clinical data were collected and analyzed. The independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. A Logistic model was established based on the results of the univariate and multivariate analyses， and the receiver operating characteristic （ROC） curve and the area under the ROC curve （AUC） were used to assess the accuracy of the model. R software was used to visualize the model by plotting a nomogram， and the Bootstrap method was used for internal validation of the model. ResultsThe multivariate analysis showed that red blood cell count （RBC）， cholinesterase （ChE）， alkaline phosphatase （ALP）， albumin （Alb）， thrombin time （TT）， portal vein trunk diameter， sequential therapy， and primary prevention were independent predictive factors for rebleeding. Based on the results of the multivariate analysis， a logistic model was established as logit（P）=-0.805-1.978×（RBC）+0.001×（ChE）-0.020×（ALP）-0.314×（Alb）+0.567×（TT）+0.428×（portal vein trunk diameter）-2.303×［sequential therapy （yes=1， no=0）］-2.368×［primary prevention （yes=1， no=0）］. The logistic model （AUC=0.928， 95% confidence interval ［CI］： 0.893—0.964， P<0.001） had a better performance in predicting rebleeding than MELD score （AUC=0.603， 95%CI： 0.520—0.687， P=0.003）， Child-Pugh class （AUC=0.650， 95%CI： 0.578—0.722， P=0.001）， and FIB-4 index （AUC=0.587， 95%CI： 0.503—0.671， P=0.045）. The model had an optimal cut-off value of 0.607， a sensitivity of 0.817， and a specificity of 0.817. Internal validation confirmed that the model had good predictive performance and accuracy. ConclusionSequential therapy， implementation of primary prevention， an increase in RBC， and an increase in Alb are protective factors against rebleeding， while prolonged TT and widened main portal vein diameter are risk factors. The logistic model based on these independent predictive factors can predict rebleeding and thus holds promise for clinical application.

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.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Background and Aims:Primary hepatic diffuse large B-cell lymphoma(DLBCL)is rare and carries a poor prognosis,with no large-scale evidence supporting the value of chemotherapy.This study used real-world,large-sample data from the SEER database to evaluate the prognostic impact of chemotherapy in patients with primary hepatic DLBCL.Methods:Clinical data of patients pathologically diagnosed with primary hepatic DLBCL between 2000 and 2019 were extracted from the SEER database and grouped according to whether they received chemotherapy.Kaplan-Meier survival analysis,Cox proportional hazards models,and random survival forest models were employed to identify factors influencing overall survival(OS)and cancer-specific survival(CSS),and subgroup analyses were performed.Results:A total of 594 patients were included,with a median age of 66 years;435(73.2%)received chemotherapy.After a median follow-up of 17.5 months,the median OS was 81(7-173)months in the chemotherapy group versus 11(2-171)months in the non-chemotherapy group.The OS and CSS rates in the chemotherapy group were significantly higher than those in the non-chemotherapy group(67.99%vs.47.77%;71.03%vs.52.87%,both P<0.05).Multivariate analysis showed that chemotherapy was an independent protective factor for OS(HR=0.39,95%CI=0.31-0.48)and CSS(HR=0.37,95%CI=0.29-0.48).In the random survival forest model,chemotherapy ranked highest in variable importance.Subgroup analyses produced consistent results.Conclusion:Chemotherapy is an independent prognostic factor for patients with primary hepatic DLBCL and can significantly improve survival.The R-CHOP regimen may be the preferred therapeutic option.

Objective To explore the characteristic changes in white matter microstructure in Parkinson's disease(PD)patients via automated fiber quantification(AFQ)technology,providing a basis for the identification and diagnosis of PD,and to analyze the feasibility of combining the AFQ method with support vector machine(SVM)in the diagnosis of PD.Methods Forty patients with primary PD(PD group)and 20 healthy controls(HC)(HC group)were prospectively selected.The AFQ technology was applied for white matter fiber tract analysis.Statistical analyses were performed using FSL(v6.0)software and SPSS 27.0 software.Independent-sample t-tests were conducted for comparisons between groups in AFQ analysis.The AFQ method was used to analyze the relationship between diffusion tensor imaging(DTI)parameters and Montreal Cognitive Assessment(MoCA)scores.Results(1)The results of AFQ analysis revealed that compared with the HC group,the PD group exhibited significantly lower fractional anisotropy(FA)values in the right cingulum bundle,left cingulum bundle hippocampus,and left uncinate fasciculus,with no differences in the FA values of the remaining 17 fiber tracts.Moreover,PD group demonstrated higher mean diffusivity(MD)values in the left cingulum bundle,left cingulum bundle hippocampus,left inferior frontal occipital fasciculus,left inferior longitudinal fasciculus,left superior longitudinal fasciculus,and left uncinate fasciculus.These differences were statistically significant(P<0.05),while no significant differences were found in the MD values of the remaining 14 fiber tracts.Furthermore,the MD values of the left inferior frontal occipital fasciculus,and left inferior longitudinal fasciculus were negatively correlated with the MoCA scores.(2)The classification results of SVM showed that the best results were achieved when combining the differential nodes of FA and MD as classification features,with an area under the curve(AUC)of 0.922,an accuracy of 84.81%,a sensitivity of 87.50%,and a specificity of 82.05%.Conclusion The DTI parameters in PD patients can serve as potential biomarkers for diagnosis.The AFQ methods provides an effective approach for detecting alterations white matter tract integrity,offering important insights for the identification and diagnosis of PD.The best results are achieved when combining the differential nodes of FA and MD as classification features.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

Objective To observe the clinical effect of abdominal full-thickness skin graft combined with adipose stem cells in repairing soft tissue defects after resection of facial benign tumors.Methods A total of 180 patients with soft tissue defects after resection of facial benign tumor in our hospital from January 2019 to June 2022 were selected,the study was designed by a double-blind method,and patients were divided into the observation group and the control group by a random number table method,with 90 cases in each group.Patients in the control group were repaired by abdominal full-thickness skin graft treatment,while these in the observation group were repaired by a combination of abdominal full-thickness skin graft and adipose stem cells.The scar status scores in the surgical area,clinical efficacy,incidence of complications and satisfaction of patients in the two groups were compared.Results Compared with preoperative results,the scores of color and thickness of scars,vascular distribution,and softness in face 6 months after surgery in both groups decreased,with statistically significant differences(P<0.05).Six months after surgery,the observation group had significantly lower scores on scar color and thickness,vascular distribution,and softness compared to the control group(P<0.05);there was no difference in the effective rate of the forehead,nose,eyelids,lips,or cheeks between the observation group and the control group(P>0.05);while the observation group had higher overall effective rate than the control group(P<0.05).There was no statistically significant difference in the incidence of complica-tions between the two groups(P>0.05).There was statistically significant difference in the distribution of the satisfaction of patients between the two groups(P<0.05),and the observation group showed significantly higher satisfaction of patients than the control group(P<0.05).Conclusion Abdominal full-thickness skin graft combined with adipose stem cells can improve facial scars in repairing soft tissue defects after resection of facial benign tumors,and enhance the repair effects and satisfaction of patients,with high safety.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.