AIM To investigate the effects of rice wine type and wine processing method on chemical constituents and anti-coagulation effect of Angelicae sinensis Radix.METHODS Wine-washed products and wine-stir-fried products were prepared by different types and ages of rice wine,respectively,after which HPLC was adopted in the content determination of tryptophan,chlorogenic acid,vanillic acid,phthalic acid,ferulic acid,senkyunolide I,senkyunolide H,coniferyl ferulate and ligustilide,and PT,APTT,TT were detected in rabbit plasma.RESULTS Phenolic acids and volatile constituents demonstrated lower contents in the wine-stir-fried products than those in the raw product(P＜0.05),while those in the wine-washed products displayed no obvious changes(except for senkyunolide I)(P＞0.05).The contents of volatile constituents in the wine-washed products were higher than those in the wine-stir-fried products(P＜0.05).After being processed with dry rice wine,various constituents exhibited increased contents as compared with those after being processed with sweet rice wine(P＜0.05).Compared with the raw product,prolonged PT,APTT and TT were observable in the processed products prepared by 3-year semi-dry rice wine(P＜0.05).CONCLUSION The optimal rice wine type is determined to be 3-year semi-dry.Wine-washed Angelicae sinensis Radix shows high contents of ferulic acid and volatile constituents,whose activating blood and resolving stasis effect may be stronger.

Sonodynamic therapy (SDT) can potentially induce immunogenic cell death in tumor cells, leading to the release of ATP, and facilitating the initiation of an immune response. Nevertheless, the enzymes CD39 and CD73 can swiftly convert ATP into immunosuppressive adenosine (ADO), resulting in an immunosuppressive tumor microenvironment (TME). This study introduced a nanomedicine (QD/POM1@NP@M) engineered to reprogram TME by modulating the CD39/CD73/ADO pathway. The nanomedicine encapsulated sonosensitizers silver sulfide quantum dots, and the CD39 inhibitor POM1, while also incorporating homologous tumor cell membranes to enhance targeting capabilities. This integrated approach, on the one hand, stimulates the release of ATP via SDT, thereby initiating the immune response. In addition, it reduced the accumulation of ADO by inhibiting CD39 activity, which ameliorated the immunosuppressive TME. Upon administration, the nanomedicine demonstrated substantial anti-tumor efficacy by facilitating the infiltration of anti-tumor immune cells, while reducing the immunosuppressive cells. This modulation effectively transformed the TME from an immunologically "cold" state to a "hot" state. Furthermore, combined with the checkpoint inhibitor α-PDL1, the nanomedicine augmented systemic anti-tumor immunity and promoted the establishment of long-term immune memory. This study provides an innovative strategy for combining non-invasive SDT and ATP-driven immunotherapy, offering new ideas for future cancer treatment.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

[Objective] : To explore the clinical characteristics and methods for syndrome differentiation prediction, as well as to construct a predictive model for Qi deficiency and blood stasis syndrome in patients with acute ischemic stroke (AIS). [Methods] : This study employed a retrospective case-control design to analyze patients with AIS who received inpatient treatment at the Neurology Department of The First Hospital of Hunan University of Chinese Medicine from January 1, 2013 to December 31, 2022. AIS patients meeting the diagnostic criteria for Qi deficiency and blood stasis syndrome were stratified into case group, while those without Qi deficiency and blood stasis syndrome were stratified into control group. The demographic characteristics (age and gender), clinical parameters [time from onset to admission, National Institutes of Health Stroke Scale (NIHSS) score, and blood pressure], past medical history, traditional Chinese medicine (TCM) diagnostic characteristics (tongue and pulse), neurological symptoms and signs, imaging findings [magnetic resonance imaging-diffusion weighted imaging (MRI-DWI)], and biochemical indicators of the two groups were collected and compared. The indicators with statistical difference (P < 0.05) in univariate analysis were included in multivariate logistic regression analysis to evaluate their predictive value for the diagnosis of Qi deficiency and blood stasis syndrome, and the predictive model was constructed by receiver operating characteristic (ROC) curve analysis. [Results] : The study included 1 035 AIS patients, with 404 cases in case group and 631 cases in control group. Compared with control group, patients in case group were significantly older, had extended onset-to-admission time, lower diastolic blood pressure, and lower NIHSS scores (P < 0.05). Case group showed lower incidence of hypertension history (P < 0.05). Regarding tongue and pulse characteristics, pale and dark tongue colors, white tongue coating, fine pulse, astringent pulse, and sinking pulse were more common in case group. Imaging examinations demonstrated higher proportions of centrum semiovale infarction, cerebral atrophy, and vertebral artery stenosis in case group (P < 0.05). Among biochemical indicators, case group showed higher proportions of elevated fasting blood glucose and glycated hemoglobin (HbA1c), while lower proportions of elevated white blood cell count, reduced hemoglobin, and reduced high-density lipoprotein cholesterol (HDL-C) (P < 0.05). Multivariate logistic regression analysis identified significant predictors for Qi deficiency and blood stasis syndrome including: fine pulse [odds ratio (OR) = 4.38], astringent pulse (OR = 3.67), superficial sensory abnormalities (OR = 1.86), centrum semiovale infarction (OR = 1.57), cerebral atrophy (OR = 1.55), vertebral artery stenosis (OR = 1.62), and elevated HbA1c (OR = 3.52). The ROC curve analysis of the comprehensive prediction model yielded an area under the curve (AUC) of 0.878 [95% confidence interval (CI) = 0.855 – 0.900]. [Conclusion] This study finds out that Qi deficiency and blood stasis syndrome represents one of the primary types of AIS. Fine pulse, astringent pulse, superficial sensory abnormalities, centrum semiovale infarction, cerebral atrophy, vertebral artery stenosis, elevated blood glucose, elevated HbA1c, pale and dark tongue colors, and white tongue coating are key objective diagnostic indicators for the syndrome differentiation of AIS with Qi deficiency and blood stasis syndrome. Based on these indicators, a syndrome differentiation prediction model has been developed, offering a more objective basis for clinical diagnosis, and help to rapidly identify this syndrome in clinical practice and reduce misdiagnosis and missed diagnosis.

Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans ; Male ; Azoospermia/diagnostic imaging* ; Deep Learning ; Testis/pathology* ; Retrospective Studies ; Adult ; Ultrasonography/methods* ; Sperm Retrieval ; Sertoli Cell-Only Syndrome/diagnostic imaging*

Objective:To investigate the correlation between vasoactive-inotropic score and 30-day mortality after surgery in acute Stanford type A aortic dissection(ATAAD) patients.Methods:The clinical data of 242 patients with ATAAD who underwent surgical treatment was retrospectively analyzed between November 2015 and May 2024. There were 172 males and 70 females. The average age was(53.1±11.9) years, ranging from 28 to 85 years. Patients were divided into death group(18 cases) and survival group(224 cases) according to the 30-day outcomes after surgery. The VIS at different time points and perioperative indexes of two groups of patients were analyzed, and multivariate logistic regression was used to analyze the risk factors of 30-day mortality after surgery in ATAAD patients. The receiver operating characteristic curve( ROC) was drawn to evaluate the predictive value of vasoactive-inotropic score. Results:Among 242 ATAAD patients, 18 patients died within 30 days after surgery, with a mortality rate of 7.4%. The age, incidence of pericardial tamponade/cardiogenic shock, incidence of malperfusion syndrome, cardiopulmonary bypass time, red blood cell transfusion intraoperative and in 24 hours postoperatively, ventilator assisted time, and incidence of major postoperative complications of patients in the death group were significantly higher than those in the survival group( P<0.05). The VIS of the death group was significantly higher than that of the survival group at all time points( P<0.05). The area under the receiver operating characteristic curve( AUC) of VIS for predicting death at each time point was greater than 0.500( P<0.05), with the highest AUC(0.906) of the second 24 hours(VISmax48h) in ICU. The optimal cut off value was determined to be 9, with a sensitivity of 0.944 and a specificity of 0.821. Logistic regression analysis showed that the VISmax48h of the second 24 hours in ICU was an independent risk factor for 30-day mortality after surgery in ATAAD patients( OR=1.462, 95% CI: 1.230-1.737, P<0.05). Conclusion:When VISmax48h≥9, patients with ATAAD have an increased risk of mortality after surgery. VISmax48h, cardiopulmonary bypass time, and red blood cell transfusion intraoperative in 24 hours postoperatively are independent risk factors for the 30-day mortality of ATAAD patients.

The surgical management of colorectal cancer has evolved from conventional multiport laparoscopic surgery toward more minimally invasive and individualized approaches. Among these, single-incision laparoscopic surgery (SILS) or reduced-port laparoscopic surgery (RPLS) has gained increasing attention from clinicians. Single-incision plus one port laparoscopic surgery (SILS+1) combines the advantages of both SILS and RPLS. Recent studies have demonstrated that compared with conventional multiport laparoscopic surgery, SILS+1 could yield comparable safety, feasibility and oncologic outcomes in treating colorectal cancer while offering additional benefits in enhanced recovery and better cosmesis.The development of SILS+1 relies heavily on innovations in single-port platforms and specialized instruments. By strictly adhering to its indica-tions, skillfully employing string and traction techniques during surgery, and the appropriate mana-gement of complications such as hemorrhage, the procedure can be performed safely and smoothly. The authors review relevant domestic and international studies and integrate the practical experi-ence to provide an in-depth discussion on the application and exploration of SILS+1 in radical colorectal cancer surgery, aiming to provide valuable insights for broader adoption of this approach.

Objective To observe the differences in gut microbiota in chronic unpredictable mild stress(CUMS)-induced depression model rats of both sexes,and to provide experimental evidence for exploring sex differences in depression onset.Methods Thirty-two healthy SD rats were divided randomly into four groups based on sex:Male control group(Control-M),Female control group(Control-F),Male model group(Model-M),and Female model group(Model-F)(n=8 rats per group).Rats in the control groups were fed without stimulation,while rats in the model groups were stimulated using the 28 d CUMS-induced depression method.After successful modeling,fresh feces were collected from all rats for high-throughput 16S rRNA sequencing.Behavioral observations were also conducted before and after preparing the model.Results The result of sucrose-preference,open-field,and forced-swimming tests differed significantly between the control and model groups.The result of the sucrose-preference test also differed between the sexes,while there was no difference in the open-field or forced-swimming test between the sexes.The α and β diversity of the gut microbiota genera showed an upward trend in the CUMS group compared with the control group.The ratio of Firmicutes/Bacteroidetes and the richness of the Roseburia and Lachnospiraceae_NK4A136_group were decreased in male rats but showed an increasing trend in female rats.Conclusions The ratio of Firmicutes/Bacteroidetes in the gut microbiota may be a key factor affecting the difference in the onset of depression between males and females,while the Roseburia and Lachnospiraceae_NK4A136_group be potential factors in correcting the gut microbiota and improving the symptoms of depression.

The surgical management of colorectal cancer has evolved from conventional multiport laparoscopic surgery toward more minimally invasive and individualized approaches. Among these, single-incision laparoscopic surgery (SILS) or reduced-port laparoscopic surgery (RPLS) has gained increasing attention from clinicians. Single-incision plus one port laparoscopic surgery (SILS+1) combines the advantages of both SILS and RPLS. Recent studies have demonstrated that compared with conventional multiport laparoscopic surgery, SILS+1 could yield comparable safety, feasibility and oncologic outcomes in treating colorectal cancer while offering additional benefits in enhanced recovery and better cosmesis.The development of SILS+1 relies heavily on innovations in single-port platforms and specialized instruments. By strictly adhering to its indica-tions, skillfully employing string and traction techniques during surgery, and the appropriate mana-gement of complications such as hemorrhage, the procedure can be performed safely and smoothly. The authors review relevant domestic and international studies and integrate the practical experi-ence to provide an in-depth discussion on the application and exploration of SILS+1 in radical colorectal cancer surgery, aiming to provide valuable insights for broader adoption of this approach.