Objective:To develop habitat radiomics models to predict early treatment responses to the hepatic arterial infusion chemotherapy (HAIC) combined with targeted therapy or immunotherapy in advanced hepatocellular carcinoma (HCC) patients, and to guide clinical diagnosis and treatment.Methods:From October 2021 to Decemeber 2023, at Army Characteristic Medical Center of PLA (Chongqing Daping Hospital) and the First Affiliated Hospital of Chongqing Medical University, 94 patients with advanced HCC who received HAIC combined with targeted therapy or immunotherapy were retrospectively enrolled. According to the treatment results, the patients were divided into response group and non-response group. Univariate and multivariate logistic regression were performed to analyze the clinical data of the patients. Based on contrast-enhanced CT images, tumor habitats were delineated and habitat features were extracted with k-means clustering, and the imaging features of arterial and venous phases were also extracted. The least absolute shrinkage and selection operator (LASSO) was used for dimensionality reduction. Feature selection was performed using LASSO to reduce dimensions, and then the selected features were further refined through stepwise logistic regression analysis.Binary logistic regression models were conducted to develop the habitat radiomics model, arterial phase radiomics model (APRM), venous phase radiomics model (VPRM), clinical data model, as well as the combination of radiomics model and clinical data model to predict early treatment (after 2 treatment cycles) response. Receiver operating characteristic curves (ROC) were plotted, and model performance was evaluated by the area under the curve (AUC), calibration curves, and decision curve. The models were validated through Bootstrap methods (1 000 times). DeLong test was used to compare AUC values.Results:The results of cluster analysis identified 3 characteristic habitats in HCC imaging: low-, medium-, and high-enhancement tumor habitats. The proportion of high-enhancement habitats was higher than that in the non-response group. A predictive model was established based on the proportions of these 3 habitats. Based on the proportion of low-, medium-, and high-enhancement habitats within the tumor, a habitat radiomics model was constructed. After LASSO selection and logistic regression analysis, 3 arterial phase and 3 venous phase radiomic features were selected to build the APRM and VPRM, respectively. Logistic regression analysis identified the following factors for the clinical data model: comorbidities ( OR=0.275, P=0.031), maximum tumor diameter ( OR=1.149, P=0.019), red blood cell count ( OR=0.463, P=0.022), alpha fetoprotein >400 μg/L ( OR=3.452, P=0.017), and tyrosine kinase inhibitor therapy ( OR=3.072, P=0.048). Among the single predictive model′s comparison, the AUC of habitat radiomics model was 0.860 (95% confidence interval(95% CI): 0.789 to 0.932), while those of the APRM、VPRM and clinical data model were 0.850 (95% CI: 0.773 to 0.926), 0.855 (95% CI: 0.782 to 0.928), and 0.774 (95% CI: 0.681 to 0.867), respectively, and there were no statistically significant among these models (all P>0.05). Among the combination models, the AUC of the habitat rediomic-clinical data combination model was 0.881 (95% CI: 0.814 to 0.947); the AUC of arterial phase rediomic-clinical data combination model was 0.897 (95% CI: 0.833 to 0.961); and the AUC of venous phase rediomic-clinical data combination model was 0.888 (95% CI: 0.826 to 0.951), but there were no statistically significant among the 3 models (all P>0.05). The calibration curve showed that the habitat rediomic-clinical data combination model had the most accurate predictive probability. Internal validation showed that the AUC of habitat rediomic-clinical data combination model was 0.848 (95% CI: 0.772 to 0.922), and the predictive performance was better than that of the clinical-data model (0.733 (95% CI: 0.670 to 0.863)). Conclusion:The habitat radiomics model based on enhanced CT can effectively predict early treatment responses to the HAIC combined with targeted therapy or immunotherapy in advanced HCC patients, which provides theoretical basis for individualized treatment in advanced HCC.

Objective:To explore effect of curculigoside on neuronal pyroptosis in rats with acute cerebral infarction(CI)by regulating cyclic guanosine-adenosine synthase(cGAS)-interferon gene stimulating factor(STING)signaling pathway.Methods:Fifteen rats were randomly selected as sham operation group,and remaining rats were constructed CI models by modified Longa suture method,CI rats successfully modeled were randomly divided into CI group,curculigoside group(5 mg/kg),SR-717 group(3 mg/kg cGAS-STING signaling pathway activator SR-717)and curculigoside+SR-717 group(5 mg/kg curculigoside+3 mg/kg SR-717),with 15 rats in each group,injected once a day for 7 consecutive days,sham operation group and CI group were given equal amounts of nor-mal saline.Neural function was evaluated by Zea-Longa score;inflammatory factors levels were detected by ELISA;TTC staining was used to evaluate volume of CI;TUNEL staining was used to detect neuronal apoptosis;immunofluorescence staining was used to detect GSDMD-N expression;Western blot was used to detect expression of pyroptosis and cGAS-STING pathway proteins.Results:Com-pared with sham operation group,Zea-Longa score,CI volume,IL-1β and IL-18 levels,apoptosis rate,number of GSDMD-N positive cells,NLRP3,cleaved-Caspase-1/Caspase-1,GSDMD-N,cGAS and STING protein expressions in CI group were significantly increased(P<0.05);compared with CI group,Zea-Longa score,CI volume,IL-1β and IL-18 levels,apoptosis rate,number of GSDMD-N positive cells,NLRP3,cleaved-Caspase-1/Caspase-1,GSDMD-N,cGAS and STING protein expressions in curculigoside group were significantly decreased(P<0.05),while the above indexes in SR-717 group had opposite trend(P<0.05);SR-717 reversed improvement effect of curculigoside on neuronal pyroptosis in CI rats.Conclusion:Curculigoside may improve neuronal pyroptosis in CI rats by down-regulating cGAS-STING signaling pathway.

Objective:To compare the clinical outcomes of immediate breast reconstruction using latissimus dorsi flap with implant versus mesh with implant based on BREAST-Q evaluation.Methods:From the clinical database of the First Affiliated Hospital of Nanjing Medical University, the patients who underwent immediate breast reconstruction after total mastectomy from January 2020 to December 2023 were selected as the research subjects. All breast reconstruction surgeries were performed by the same surgeon. Patients were divided into two groups according to surgical methods: the latissimus dorsi muscle flap combined with implant immediate breast reconstruction group (LD group) and the mesh combined with implant immediate breast reconstruction group (mesh group). Patients were followed up in outpatient clinics or by telephone one year after surgery. The BREAST-Q was used to evaluate the surgical outcomes of both groups from four dimensions: psychosocial well-being, sexual well-being, chest-physical well-being, and breast satisfaction. The score range for each dimension was 0-100, with higher scores indicating greater patient satisfaction with quality of life and surgical outcomes. Statistical analysis was performed using SPSS 22.0 software. Normally distributed measurement data were expressed as Mean ± SD, and comparisons between the two groups were performed using independent sample t-test. Count data were expressed as number of cases and percentages, and comparisons between groups were performed using chi-square test or Fisher’s exact test. P<0.05 was considered statistically significant. Results:A total of 123 patients were included, with 59 patients in the LD group and 64 patients in the mesh group. In the LD group, the mean age was (37.7±7.0) years, body mass index (BMI) was (22.6±2.6) kg/m 2, and clinical tumor staging showed 2, 22, 30, and 5 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. In the mesh group, the mean age was (39.1±7.0) years, BMI was (22.6±2.8) kg/m 2, and clinical tumor staging showed 1, 25, 38, and 0 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. There were no statistically significant differences between the two groups in baseline characteristics including age, BMI, and clinical tumor staging (all P>0.05). One year after surgery, the BREAST-Q result showed no statistically significant differences between the LD group and mesh group in psychosocial well-being [(83.0±19.8) points vs. (80.8±19.3) points] and sexual well-being [(62.1±30.4) points vs. (65.8±25.6) points] (all P>0.05). However, the LD group had lower chest-physical well-being scores than the mesh group [(40.6±9.7) points vs. (45.1±9.6) points, P<0.05], while breast satisfaction scores were higher in the LD group than in the mesh group [(68.0±17.8) points vs. (59.8±12.6) points, P<0.01]. Conclusion:Immediate breast reconstruction by both latissimus dorsi flap with implant and mesh with implant can improve patients’ psychosocial and sexual well-being by enhancing breast appearance. However, LD technique provides better breast satisfaction, while the mesh technique offers advantages in physical well-being of the chest wall and upper body. Surgeons should select the most appropriate breast reconstruction technique based on patients’ anatomical conditions, treatment history, and individual needs to optimize postoperative quality of life and satisfaction.

Objective To observe the effects of Ditan Yizhi Decoction on mitochondrial dynamics-mediated glucose metabolism in vascular dementia(VaD)rats based on the ROS/Drp1 axis;To explore its mechanism in treating VaD.Methods Ten male SD rats were randomly selected from 70 as the sham-operation group,and VaD models were prepared using the modified bilateral common carotid artery permanent ligation method for the remaining rats.The successfully modeled rats were randomly divided into model group,positive drug group(donepezil hydrochloride),inhibitor group(Mdivi-1)and Ditan Yizhi Decoction low-,medium-and high-dosage groups(12.86,25.725,51.45 g/kg),and intervened with corresponding method for 4 consecutive weeks.Morris water maze experiment was used to assess the learning memory ability of rats,HE and Nissl staining were used to observe the morphology of hippocampal tissue,transmission electron microscopy was used to observe the mitochondrial ultrastructure of hippocampal neurons,DHE fluorescent probe was used to detect the content of ROS in hippocampal neurons,Western blot was used to detect the expressions of Drp1,p-Drp1,Mfn2,Opa1,HK1,PKM2,GLUT1 and LDHA,the contents of serum IL-1β,IL-6 and TNF-α were detected by ELISA.Results Compared with the sham-operation group,rats in the model group had a prolonged escape latency(P<0.01)and a reduced number of crossing platforms(P<0.01);neuronal gaps in the CA1 region of the hippocampus were enlarged,with irregular cell morphology and blurred borders,neuronal consolidation,lysis and fragmentation of Nissl bodies and reduced number of Nissl bodies,swelling and deformation of mitochondria,disorganization of the cristae,and disruption of the bilayer membrane structure;the content of ROS in CA1 region of the hippocampus was elevated,the protein expressions of Mfn2 and Opa1 significantly decreased(P<0.01),the expressions of p-Drp1,HK1,PKM2,GLUT1,LDHA proteins significantly increased(P<0.01),and serum contents of IL-1β,IL-6 and TNF-α significantly increased(P<0.01).Compared with the model group,the escape latency was significantly shortened in Ditan Yizhi Decoction groups,positive drug group and inhibitor group(P<0.01),and the number of crossing platforms increased(P<0.05,P<0.01);the number of neurons in the hippocampal CA1 region increased,with normal morphology,orderly arrangement,abundant Nissl bodies,recovered mitochondrial morphology,and decreased rupture;the ROS content in hippocampal CA1 region decreased(P<0.01),while the expressions of Mfn2 and Opa1 proteins increased(P<0.01),the expressions of p-Drp1,HK1,PKM2,GLUT1 and LDHA proteins decreased(P<0.01),and the serum contents of IL-1β,IL-6 and TNF-α decreased(P<0.05).Conclusion Ditan Yizhi Decoction can improve cognitive impairment and neuronal morphology in VaD rats,and the mechanism maybe related to regulation of mitochondrial dynamics through the ROS/Drp1 axis,attenuating glycometabolic disorders,and reducing inflammatory response.

Quantum dot-based single-virus tracking has become a practical method to explore the molecular mechanism of virus entry into cells,because it can realize virion imaging in living cells.Mink enteritis virus(MEV)is a single-stranded DNA virus with strong environmental resistance,which has caused huge economic losses for the global mink farming industry.Although epidemio-logic and clinical aspects of MEVs have been studied,the mechanisms by which it infect target cells remain unclear.In this study,we implemented quantum dot labeling of mink enteritis virus u-sing the biotin-streptomycin affinity system and monitored the viral infection process in host cells.We found that MEV first attaches to the cell membrane and enters the cell by endocytosis.Live cell images showed quantum dot(QD)-MEV movement along microtubules,and viral infection was also inhibited by treatment with the microtubule inhibitor nocodazole,whereas the addition of the microfilament inhibitor CytoD had no effect on infection,suggesting that MEV transport is de-pendent on microtubules rather than microfilaments.Another imaging results showed that MEV co-localized with Rab5 and Rab7 in host cells,suggesting that the endosomal system is required for MEV internalization.Biochemical analyses showed that viral infection was significantly inhibited after pretreatment of host cells with the endosomal acidification inhibitors NH4 Cl and chloro-quine,suggesting that MEV invasion requires an acidic environment in the endosomes.Our results indicated that MEV enters early and late endosomes after entering the cell membrane,and that in-tracellular translocation is microtubule-dependent,which may in turn uncover a novel target for antiviral treatment.

Objective To investigate the value of artificial intelligence-assisted compressed sensing (ACS) technology for intravenous gadolinium contrast-enhanced magnetic resonance imaging of the inner ear using three-dimensional fluid-attenuated inversion recovery (3D-FLAIR) sequence. Methods The patients received gadolinium contrast-enhanced magnetic resonance imaging using ACS and united compressed sensing (uCS) 3D-FLAIR at Zhongshan Hospital, Fudan University from January to November 2024 were prospectively enrolled. The repetition time was 16 000 ms, and acquisition time was 6 min 40 s and 10 min 24 s in ACS 3D-FLAIR and uCS 3D-FLAIR, respectively. The images on the two sequences were evaluated independently by two radiologists. The image quality of the two sequences was subjectively evaluated and compared. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were compared between the two sequences. The grading consistencies using two sequences and between the two doctors were analyzed. Results There was no statistically difference in subjective score of image quality between the two sequences. SNR and CNR of the ACS 3D-FLAIR sequence were significantly higher than those of the uCS 3D-FLAIR sequence (P＜0.001). The kappa values of grades of cochlear and vestibular endolymphatic hydrops were 0.942 and 0.888 using two sequences (P＜0.001). The kappa values of grades of cochlear and vestibular endolymphatic hydrops using the ACS 3D-FLAIR sequence between the two doctors were 0.784 and 0.831, respectively (P＜0.001); the kappa values of grades of cochlear and vestibular endolymphatic hydrops using uCS 3D-FLAIR sequence between the two doctors were 0.725 and 0.756, respectively (P＜0.001). Conclusions ACS 3D-FLAIR could provide higher SNR and CNR than uCS 3D-FLAIR, and is more suitable for intravenous gadolinium contrast-enhanced magnetic resonance imaging of the inner ear; the endolymphatic hydrops grades using ACS 3D-FLAIR is similar to use uCS 3D-FLAIR.

BACKGROUND:Ferroptosis is closely associated with the pathogenesis of ischemic stroke,and targeting ferroptosis is a promising regimen for the treatment of ischemic stroke,but the specific regulatory targets are unclear. OBJECTIVE:To screen ferroptosis-related characterized genes in ischemic stroke by bioinformatics and machine learning methods and validate them by cellular experiments to investigate the role of ferroptosis in ischemic stroke. METHODS:Eligible ischemic stroke-related datasets and ferroptosis expression datasets were selected based on GEO database and FerrDb database,and ferroptosis-related differential genes were screened by t-test.GO functional enrichment analysis with KEGG signaling pathway enrichment analysis was performed for ferroptosis-related differential genes.Characterized genes for ferroptosis in ischemic stroke were screened by PPI network analysis and machine learning.The reliability and biological functions of the characterized genes were explored using ROC analysis and GSEA analysis,followed by cell experiment.HT22 cells were divided into control and ischemic stroke groups.No intervention was made in the control group,and 0.1 mM H2O2 was added to the ischemic stroke group for 24 hours to simulate cellular oxidative stress injury and ferroptosis.The ferroptosis and the expression of characterized genes were verified by real-time fluorescence quantitative polymerase chain reaction(RT-PCR)and western blot assay. RESULTS AND CONCLUSION:(1)Forty-five ferroptosis-associated differential genes were obtained,and GO and KEGG enrichment analyses revealed that the differential genes were closely associated with oxidative stress,autophagy,ferroptosis,adipocytokine signaling pathway,and mitochondrial metabolism.(2)A total of one ferroptosis characterized gene,nuclear factor erythroid 2-related factor 2(NFE2L2),was identified by the MCODE plugin and cytoHubba plugin in the PPI network with the LASSO algorithm and SVM-RFE algorithm in machine learning.(3)Receiver operating characteristic curve analysis of NFE2L2 revealed that the diagnostic prediction models constructed in the training and validation sets had good accuracy and specificity.GSEA analysis of NFE2L2 revealed that the characterized gene was involved in the regulation of ischemic stroke pathogenesis through immunity,inflammatory response,amino acid metabolism,and neurofactor regulation.(4)RT-PCR and western blot analyses showed that the acyl coenzyme A synthetase long chain family,member 4(ACSL4)mRNA and protein expression levels were significantly higher in the ischemic stroke group compared with the control group(P<0.05),and the glutathione peroxidase 4(GPX4)mRNA and protein expression levels were significantly lower in the ischemic stroke group(P<0.05).Compared with the control group,the mRNA and protein expression levels of the characterized gene NFE2L2 were significantly higher in the ischemic stroke group(P<0.05).(5)It suggests that ischemic stroke is closely related to ferroptosis,and targeting the characterized gene NFE2L2 may provide certain ideas and directions for the study and treatment of ischemic stroke.

The N-methyl-D-aspartate receptor (NMDA-R) subunit GluN2B is abundantly expressed in brain regions critical for synaptic plasticity and cognitive processes. This study investigated the structure-activity relationships (SAR) of NMDA-R ligands using GluN2B as a molecular target. Thirty potential NMDA-R antagonists were categorized into two structural classes: 1-(1-phenylcyclohexyl) amines (series A) and α-amino-2-phenylcyclohexanone derivatives (series B). In series A compounds, the phenyl ring and R1 substituents were positioned at the carbon center of the cyclohexyl ring, with R2 substituents at the para- or meta-positions of the phenyl ring. SAR analysis revealed optimal binding affinity when R1 was carbonyl (C=O) and R2 was 4-methoxy (4-OMe). Series B compounds featured a cyclohexanone scaffold with NH-R1 at the α-position and a phenyl ring bearing R2 substituents at ortho-, meta-, or para-positions. Maximum binding affinity was achieved with R1 as hydrogen (H) and R2 as hydroxyl (OH). Compounds were assessed for GluN2B-mediated ERK activation to evaluate potential metabotropic signaling properties. Approximately 50% of the compounds demonstrated ERK activation through a non-ionotropic signaling cascade involving Src, phosphatidylinositol 3-kinase, and protein kinase C. This study elucidated key structural determinants for NMDA-R binding and characterized a novel metabotropic signaling pathway. Notably, our findings suggest that compounds acting as antagonists at the ionotropic site may simultaneously function as agonists through non-ionotropic mechanisms.

ObjectiveTo explore the typical syndromes and their characteristic of symptoms and signs with high diagnostic value in patients with metabolic syndrome （MS）. MethodsTraditional Chinese medicine （TCM） diagnostic information was collected from 135 MS patients. Syndrome element differentiation and latent class analysis （LCA） were applied to identify the major TCM syndromes in MS patients. Symptoms were analyzed based on the differentiated syndromes， and a binary logistic regression model was constructed to determine symptoms and signs with high diagnostic value. ResultsA total of 135 MS patients were included， involving 163 symptoms and signs with a total frequency of 1749； twenty-three syndrome elements were extracted， 367 times frequency in total， among which 8 syndrome elements occurred ≥10 times with 323 frequencies （88.01% of the total）. These included location-related elements such as kidney （48 times）， spleen （14 times）， and stomach （14 times）， and nature-related elements such as phlegm （71 times）， yin deficiency （64 times）， dampness （57 times）， heat （42 times）， and qi deficiency （13 times）. Based on LCA， the 135 patients were categorized into two groups distinguished by the syndrome elements of dampness and phlegm， forming the "phlegm-dampness syndrome" as the major syndrome type. Nine high-frequency symptoms and signs associated with the phlegm-dampness syndrome were identified，i.e. obesity （39 times）， greasy coating （38 times）， slippery pulse （33 times）， white coating （31 times）， preference for fatty and heavy foods （30 times）， excessive urination （30 times）， fatigue and lack of strength （29 times）， wiry pulse （25 times）， and dark red tongue （25 times）. A binary logistic regression model was constructed combining these nine symptoms and signs with the LCA classification results， ultimately identifying obesity， greasy coating， fatigue and lack of strength， and white coating as independent factors associated with the phlegm-dampness syndrome in MS patients （P＜0.05）. ConclusionThe major TCM syndrome in MS patients is phlegm-dampness syndrome， and obesity， greasy coating， fatigue and lack of strength， and white coating are the typical symptoms and signs for diagnosing phlegm-dampness syndrome in MS patients.

ObjectiveTo explore the current situation and influencing factors of humanistic care experience among patients visiting traditional Chinese medicine （TCM） outpatient clinics in China， and to provide a basis for optimizing TCM-characterized services in both TCM and Western medicine hospitals. MethodsA multi-center cross-sectional study was conducted using convenience sampling to select 35 hospitals across 13 provinces in China （including 3 TCM hospitals and 32 TCM outpatient clinics in general hospitals）. A total of 3，430 patients were surveyed using the general information questionnaire and the Outpatient Humanistic Care Experience Questionnaire， with data collected via Questionnaire Star. Univariate analysis and multiple linear regression were employed to examine the impacts of patient characteristics， visit characteristics， hospital type （TCM hospital/general hospital）， and geographic region （eastern/central/western） on humanistic care experience. ResultsThe total score of humanistic care experience was 194 （188， 233）. Univariate analysis showed that gender， educational level， current residence， per capita monthly household income， location attribute of medical institutions， number of previous visits to this hospital， payment method of medical expenses， previous hospitalization history in this hospital， frequency of outpatient visits within the past 12 months， self-rated disease severity， familiarity with the outpatient procedures， implementation of the follow-up service provided by the hospital， satisfaction with follow-up services， the grade of the hospital visited， geographical region of the hospital visited， and the department visited had an impact on the humanistic care experience during outpatient visits （P<0.05）. Multivariate analysis demonstrated that educational level （β=0.609， P=0.011）， self-rated disease severity （β=-0.646， P=0.047）， familiarity with outpatient procedures （β=4.784， P<0.001）， satisfaction with follow-up services （β=6.365， P<0.001）， and the grade of the hospital visited （β=-5.487， P<0.001） affected the humanistic care experience in outpatient medical treatment， explaining 24.4% of the total variation. ConclusionHumanistic care experience in TCM outpatient clinics is influenced by multiple factors. It is recommended to optimize the medical treatment process， strengthen doctor-patient communication training， and establish a precise follow-up mechanism， with a focus on improving care perceptions among patients with lower education levels and those attending primary-level hospitals， to refine the TCM-characterized service system.