[This corrects the article DOI: 10.1016/j.apsb.2021.08.008.].

The bioactivity-guided isolation of potentially active natural products has been widely utilized in pharmaceutical discovery. In this study, by screening fungal extracts against coxsackievirus B3 (CVB3), three new aspochalasins, templichalasins A‒C (1‒3), along with six known aspochalasins (4‒9) were isolated from an active extract derived from the endophytic fungus Aspergillus templicola LHWf045. Compound 1 features a unique 5/6/5/7/5 pentacyclic ring system, while compounds 2 and 3 possess unusual 5/6/6/7 tetracyclic skeletons. Their structures were characterized through extensive spectroscopic analyses, electronic circular dichroism (ECD) calculations, and single-crystal X-ray diffraction analysis. Additionally, we demonstrated that compound 4 can be readily converted into compounds 1‒3 under mild acidic conditions and proposed a plausible mechanism for this conversion. Bioactivity evaluation of compounds 1‒9 against CVB3 revealed the inhibitory effects of all compounds against the virus. Notably, compound 9 exhibited superior antiviral activity, surpassing the commercial drug ribavirin in selectivity index (SI) value.
Antiviral Agents/isolation & purification* ; Aspergillus/chemistry* ; Molecular Structure ; Enterovirus B, Human/drug effects* ; Endophytes/chemistry* ; Cytochalasins/isolation & purification* ; Drug Discovery ; Humans

Objective:To compare the patient-reported outcomes and short-term clinical outcomes between robotic-assisted and laparoscopic-assisted radical gastrectomy for locally advanced gastric cancer.Methods:This single-center prospective randomized controlled trial was conducted in the Department of Gastrointestinal Surgery, Affiliated Hospital of Qingdao University from October 2020 to August 2022. Patients with locally advanced gastric cancer who were to undergo radical gastrectomy were selected and randomly divided into two groups according to 1∶1, and received robotic surgery and laparoscopic surgery, respectively. Patient-reported outcomes and short-term clinical outcomes (including postoperative complications, surgical quality and postoperative short-term recovery) were compared between the two groups by independent sample t test, Mann-Whitney U test, repeated ANOVA, generalized estimating equation, χ2 test and Fisher′s exact test. Results:A total of 237 patients were enrolled for modified intention-to-treat analysis (120 patients in the robotic group, 117 patients in the laparoscopic group). There were 180 males and 59 females, aged (63.0±10.2) years (range: 30 to 85 years). The incidence of postoperative complications was similar between the robotic group and laparoscopic group (16.7% (20/120) vs. 15.4% (18/117), χ2=0.072, P=0.788). The robotic group had higher patient-reported outcomes scores in general health status, emotional, and social domains compared to the laparoscopic group, differences in time effect, intervention effect, and interaction effect were statistically significant (general health status: χ2 value were 275.68, 3.91, 6.38, P value were <0.01, 0.048, 0.041; emotional: χ2 value were 77.79, 6.04, 6.15, P value were <0.01, 0.014, 0.046; social: χ2 value were 148.00, 7.57, 5.98, P value were <0.01, 0.006, 0.048). However, the financial burden of the robotic group was higher, the differences in time effect, intervention effect and interaction effect were statistically significant ( χ2 value were 156.24, 4.08, 36.56, P value were <0.01, 0.043,<0.01). Conclusion:Compared to the laparoscopic group, the robotic group could more effectively relieve postoperative negative emotions and improve recovery of social function in patients.

Objective To investigate the application of machine learning to predict the hemodynamic parameters of combined stenotic left coronary artery(LCA)aneurysms.Methods Parameterized modeling and simulation based on the geometric parameter range of combined stenosis LCA aneurysms in clinical statistics were conducted.The obtained simulation data was used as the dataset,and two common machine learning models were constructed and trained for optimization to predict two key hemodynamic parameters:wall shear stress(WSS)and pressure.By comparing and analyzing the performances of these models on the training and testing sets,the accuracy of each model was evaluated,and the effectiveness of the data-driven prediction of hemodynamic parameters for LCA aneurysms with concomitant stenosis was verified.Results The effectiveness of machine learning method in inverting the hemodynamic parameters of aneurysms was determined.For WSS prediction,the trained deep learning model and random forest model achieved mean squared error(MSE),mean absolute error(MAE),and determination coefficient R2 of 0.052 8,0.032 2,0.988 3,and 0.078 2,0.046 3,and 0.976 6,respectively.For pressure prediction,the accuracies of the deep learning models and random forest models were comparable,with MSE,MAE,and R2 of 4.67×10-6,3×10-4,0.999 7,and 1.07×10-5,5×10-4,and 0.999 3,respectively.Conclusions Machine learning methods show high accuracy in predicting the hemodynamic parameters of combined stenotic coronary artery aneurysm models.The predictive accuracy of the model,computational efficiency,and needs of the application scenarios need to be considered in machine learning prediction so that the appropriate model can be selected according to the specific situation.This study has clinical significance,helping doctors to more accurately evaluate a patient's condition and provide new ideas and method for the diagnosis and treatment of cardiovascular diseases.

Objective To investigate serum levels of soluble apoptosis-related factor ligand(sFasL)and stromal cell derived factor 1(SDF-1)in patients with aplastic anemia(AA)and their correlation with immunosuppressive treatment.Methods Forty-three AA patients who received immunosuppressive therapy for half a year were selected as the observation group,and another 43 healthy subjects at the same period were selected as the control group.Patients in the observation group received immunosuppressive therapy and hematopoietic propoietic therapy,and patients were divided into the ineffective group and the effective group according to the efficacy.Clinical data of patients were collected,and serum levels of sFasL,SDF-1,tumor necrosis factor-α(TNF-α)and interleukin-8(IL-8)were detected by enzyme-linked immunosorbent assay.The correlation between serum sFasL and SDF-1 levels was analyzed.Multivariate Logistic regression analysis was conducted to analyze influencing factors of immunosuppressive treatment in AA patients.The predictive values of serum sFasL and SDF-1 on immunosuppressive treatment were analyzed by receiver operating characteristic(ROC)curve.Results Serum levels of sFasL and SDF-1 were higher in the observation group than those in the control group(P＜0.05).Serum levels of TNF-α,IL-8,sFasL and SDF-1 were higher in the ineffective group than those in the effective group(P＜0.05).Serum sFasL level was positively correlated with SDF-1 level in AA patients(r=0.534,P＜0.001).Increased serum sFasL and SDF-1 levels were independent risk factors for ineffective immunosuppressive therapy in AA patients(P＜0.05).The area under the curve(AUC)of serum sFasL and SDF-1 combined to predict the immunosuppressive treatment effect of AA patients was 0.973(95%CI:0.872-0.999),which was better than that of single diagnosis(P＜0.05),and its sensitivity and specificity were 94.44%and 96.00%,respectively.Conclusion Serum levels of sFasL and SDF-1 are significantly increased in patients with AA.The combined detection of sFasL and SDF-1 has high predictive value for the immunosuppressive treatment effect of AA.

Objective To explore the efficacy and prognosis of robot-assisted percutaneous pedicle screw(PPS)in the treatment of thoracic and lumbar spine fracture.Methods A total of 84 patients with thoracolumbar fracture were selected from Xuzhou Renci Hospital from November 2018 to November 2022,and divided into study group(42 cases with robot-assisted PPS)and control group(42 cases with free-hand PPS)according to random number rank method.Perioperative indexes,nail placement accuracy,prognostic indexes(VAS score,Cobb Angle,relative height of anterior vertebra)and incidence of postoperative complications were compared between the two groups.Results Less intraoperative blood loss,shorter fluoroscopy time,fluoroscopy times,operative time,single nail placement time and radiation exposure time,and higher nail placement accuracy were observed in the study group(P<0.05).VAS score and Cobb Angle of the injured vertebrae were lower in the postoperative 3 d and the last follow-up,and the relative height of the injured vertebrae was higher than that before surgery in the two groups(P<0.05).Conclusion Robot-assisted PPS in the treatment of thoracolumbar fracture has a good application effect,which can shorten the operation time,reduce the intraoperative fluoroscopy times,improve the accuracy of nail placement,and have good safety.

Objective To investigate the risk factors for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage,and construct and verify the nomogram model.Methods A retrospective cohort study was conducted on 558 patients admitted in the First Affiliated Hospital of Chongqing Medical University and the Three Gorges Hospital Affiliated to Chongqing University.And 393 of them who hospitalized from January 2015 to January 2021 were assigned into a modeling group,and the other 165 patients from February 2021 to January 2023 into a validation group.Univariate and multivariate stepwise logistic regression analyses were used to screen out the risk factors associated with pulmonary embolism after spontaneous cerebral hemorrhage surgery.Then a nomogram model was build based on these factors and verified.Results Based on age,blood loss,Glasgow coma scale(GCS)score,surgical treatments,levels of fibrin degradation products,D-dimer and hemoglobin,plasma osmolality,and deep vein thrombosis,a risk model of pulmonary embolism was built.Receiver operating characteristic(ROC)curve analysis showed the model had good discriminability for the presence of pulmonary embolism,and the area under the curve(AUC)value was 0.908.Hosmer-Lemeshow goodness-fit test indicated that the model had a good fit to the verification set(Chi-square=14.805,df=8,P=0.063),the correction curve was close to the ideal curve,and the prediction probability of the model was close to the actual occurrence probability,suggesting the model having good accuracy.Decision curve analysis revealed that the established nomogram model can get benefits under a large range of threshold probabilities.Conclusion We develop a prediction model for postoperative pulmonary embolism in patients with spontaneous cerebral hemorrhage after surgical treatment,which shows good prediction performance in both the training and validation groups,and can be used for accurate,prompt and quick identification for the occurrence of pulmonary embolism in clinical practice.

Background::Renal ischemia-reperfusion (R-I/R) injury is the most prevalent cause of acute kidney injury, with high mortality and poor prognosis. However, the underlying pathological mechanisms are not yet fully understood. Therefore, this study aimed to investigate the role of N-myc downstream-regulated gene 2 ( Ndrg2) in R-I/R injury. Methods::We examined the expression of Ndrg2 in the kidney under normal physiological conditions and after R-I/R injury by immunofluorescence staining, real-time polymerase chain reaction, and western blotting. We then detected R-I/R injury in Ndrg2-deficient ( Ndrg2-/-) mice and wild type ( Ndrg2+/+) littermates in vivo, and detected oxygen and glucose deprivation and reperfusion (OGD-R) injury in HK-2 cells. We further conducted transcriptomic sequencing to investigate the role of Ndrg2 in R-I/R injury and detected levels of oxidative stress and mitochondrial damage by dihydroethidium staining, biochemical assays, and western blot. Finally, we measured the levels of mitophagy in Ndrg2+/+ and Ndrg2-/- mice after R-I/R injury or HK-2 cells in OGD-R injury. Results::Ndrg2 was primarily expressed in renal proximal tubules and its expression was significantly decreased 24 h after R-I/R injury. Ndrg2-/- mice exhibited significantly attenuated R-I/R injury compared to Ndrg2+/+ mice. Transcriptomics profiling showed that Ndrg2 deficiency induced perturbations of multiple signaling pathways, downregulated inflammatory responses and oxidative stress, and increased autophagy following R-I/R injury. Further studies revealed that Ndrg2 deficiency reduced oxidative stress and mitochondrial damage. Notably, Ndrg2 deficiency significantly activated phosphatase and tensin homologue on chromosome ten-induced putative kinase 1 (PINK1)/Parkin-mediated mitophagy. The downregulation of NDRG2 expression significantly increased cell viability after OGD-R injury, increased the expression of heme oxygenase-1, decreased the expression of nicotinamide adenine dinucleotide phosphate oxidase 4, and increased the expression of the PINK1/Parkin pathway. Conclusion::Ndrg2 deficiency might become a therapy target for R-I/R injury by decreasing oxidative stress, maintaining mitochondrial homeostasis, and activating PINK1/Parkin-mediated mitophagy.

Objective To describe the incidence and mortality of brain tumors in China in 2020 and to predict the disease burden up to 2040.Methods The brain tumor incidence and mortality in 2020 were recorded based on the data from International Agency for Cancer Research(IARC),Cancer Today database.The incidence and mortality were standardized by age using Segi's world standard population.The burden of brain tumors in 2040 was predicted with assuming that national rates remained constant in 2020.Results It was estimated there were approximately 79 600 new brain tumors cases and 65 200 deaths in China in 2020.The age-standardized incidence and mortality rates of brain tumors in China were 4.1/100 000 and 3.2/100 000,respectively,which were lower than the United States of America,most of European countries and Australia.The incidence and mortality were higher than Africa,central America,and the Caribbean.From 2020 to 2040,the brain tumors cases and deaths are predicted to have an increase as 32.1%and 41.5%respectively.Conclusions The disease burden of brain tumors was still heavy in China.Further studies are urgently needed to clarify the epidemic trend of tissue typing and risk factors of brain tumors,which may support the development of effective prevention strategies.