Objective To investigate the predictive value of the combined tumor burden score (TBS) and platelet-albumin-bilirubin (PALBI) score model for postoperative tumor recurrence in liver transplant recipients with hepatocellular carcinoma (HCC). Methods The general information of 158 recipients diagnosed with HCC and underwent liver transplantation at the 900th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from 2008 to 2021 was collected. Lasso regression analysis combined with multivariate Cox regression analysis were used to identify independent risk factors for postoperative tumor recurrence after liver transplantation with HCC. A nomogram prediction model was constructed based on variables selected by Lasso regression analysis, and the predictive performance of the model was verified by calibration curve and clinical decision curve. The optimal cut-off values for postoperative tumor recurrence in liver transplant recipients with HCC were determined by receiver operating characteristic (ROC) curve, and Kaplan-Meier analysis was used to compare survival differences among different groups. Results Among the 158 liver transplant recipients with HCC, 82 experienced tumor recurrence, with a recurrence rate of 51.9% and a median tumor-free survival time of 10 (4, 25) months. Results of Lasso regression analysis and multivariate Cox regression analysis showed that alpha-fetoprotein (AFP) ≥400 ng/mL, TBS and PALBI score were all independent risk factors for postoperative tumor recurrence in liver transplant recipients with HCC (all P<0.05). The combined high TBS-high PALBI score showed the highest predictive value (hazard ratio 6.909, 95% confidence interval 3.067-15.563, P<0.001). A nomogram prediction model was constructed based on six variables selected by Lasso regression analysis. Calibration curve showed good consistency between the model's predicted results and the ideal curve. Decision curve analysis indicated that the nomogram prediction model provided the highest clinical benefit for predicting 1-year tumor-free survival after liver transplantation with HCC. Time-dependent ROC curves at 1, 3 and 5 years after surgery showed that TBS-PALBI model had good predictive performance, with no significant difference in area under the curve (AUC) compared with TBS-PALBI-AFP model. The optimal cut-off values for predicting postoperative tumor recurrence were determined by ROC curve, with a PALBI score cut-off of −2.334 and a TBS cut-off of 5.305. Recipients were divided into a low TBS-low PALBI score group (n=47) and a low/high TBS-low/high PALBI score group (at least one score was high) (n=111). Kaplan-Meier survival analysis showed that the low TBS-low PALBI score group had a higher tumor-free survival rate than the low/high TBS-low/high PALBI score group, with a significant difference (P<0.05). Conclusions TBS-PALBI model provides a novel, simple and effective tool for assessing the prognosis of liver transplant recipients with HCC. The nomogram model constructed based on this has significant advantages in predictive performance and may serve as a reference for guiding individualized treatment plans and improving clinical outcomes.

Two novel diketopiperazines (1 and 5), along with ten known compounds (2-4, 6-12) demonstrating significant skin inflammation inhibition, were isolated from a marine-derived fungus identified as Aspergillus sp. FAZW0001. The structural elucidation and configurational reassessments of compounds 1-5 were established through comprehensive spectral analyses, with their absolute configurations determined via single crystal X-ray diffraction using Cu Kα radiation, Marfey's method, and comparison between experimental and calculated electronic circular dichroism (ECD) spectra. Compounds 1, 2, and 8 exhibited significant anti-inflammatory activities in Propionibacterium acnes (P. acnes)-induced human monocyte cell lines. Compound 8 demonstrated the ability to down-regulate interleukin-1β (IL-1β) expression by inhibiting Toll-like receptor 2 (TLR2) expression and modulating the activation of myeloid differentiation factor 88 (MyD88), mitogen-activated protein kinase (MAPK), and nuclear factor κB (NF-κB) signaling pathways, thus reducing the cellular inflammatory response induced by P. acnes. Additionally, compound 8 showed the capacity to suppress mitochondrial reactive oxygen species (ROS) production and nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome activation, thereby reducing IL-1β maturation and secretion. A three-dimensional quantitative structure-activity relationships (3D-QSAR) model was applied to compounds 5-12 to analyze their anti-inflammatory structure-activity relationships.
Humans ; Aspergillus/chemistry* ; Diketopiperazines/isolation & purification* ; Anti-Inflammatory Agents/isolation & purification* ; Interleukin-1beta/genetics* ; Toll-Like Receptor 2/immunology* ; Propionibacterium acnes/drug effects* ; NF-kappa B/genetics* ; Molecular Structure ; Myeloid Differentiation Factor 88/immunology* ; Monocytes/immunology* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Cell Line

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

Objective:To investigate whether herb cake-insulated moxibustion affects the expression of cholesterol metabolism-related protein 3-hydroxy-3-methylglutaryl coenzyme A reductase(HMGR)and inhibits the development of atherosclerosis by regulating the exosomal miR-223 expression.Methods:Thirty-six male New Zealand rabbits were randomly assigned to a normal group,a model group,and an herb cake-insulated moxibustion group,with 12 rabbits in each group.The model and the herb cake-insulated moxibustion groups were fed a high-fat diet for 8 weeks to induce an atherosclerosis model.Following successful modeling,the herb cake-insulated moxibustion group was subjected to bundling and herb cake-insulated moxibustion intervention,while the other two groups were subjected only to bundling without moxibustion.After 8 weeks of intervention,hematoxylin-eosin(HE)staining was used to observe aortic morphology;the serum levels of total cholesterol(TC),triglyceride(TG),and low-density lipoprotein cholesterol(LDL-C)were detected using an automatic biochemical analyzer in each group.Exosome morphology was observed using the transmission electron microscope;Western blotting(WB)was used to detect the protein levels of serum exosomal CD63 and CD9 markers,as well as liver HMGR;additionally,real-time fluorescence quantitative polymerase chain reaction was used to quantify serum exosomal miR-223.Results:HE staining showed thickened aortic intima,lipid infiltration,foam cell aggregation,and structural damage to the arterial wall in the model group.Meanwhile,after modeling,the serum levels of LDL-C,TC,and TG increased significantly in the model and herb cake-insulated moxibustion groups compared to the normal group(P<0.05),suggesting successful atherosclerosis rabbit model preparation.The serum exosomes of rabbits in the model group exhibited a saucer-like or semi-concave spherical shape with diameters of 120-150 nm.WB detection results showed positive expression of the exosomal markers CD63 and CD9.After 8 weeks of intervention,the miR-223 level in the model group was significantly lower than that in the normal group(P<0.01).In contrast,the herb cake-insulated moxibustion group demonstrated significantly reduced serum levels of TC,TG,and LDL-C(P<0.05),increased miR-223 expression(P<0.01),and decreased relative liver HMGR protein expression(P<0.05)compared to the model group.Conclusion:Herb cake-insulated moxibustion may alleviate the progression of atherosclerosis by up-regulating exosomal miR-223 expression and down-regulating HMGR protein expression,thereby inhibiting cholesterol anabolic metabolism.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Cholera toxin B subunit(CTB)can enhance antigen presentation and promote T cell pro-liferation,B cell differentiation and B cell isotype conversion.Moreover,woodchuck hepatitis virus post transcriptional regulatory element(WPRE)can enhance gene expression efficiency by optimi-zing RNA polyadenylation,denuclearization and/or translation.In order to construct porcine epi-demic diarrhea virus like particles(VLPs)chimerized with CTB and WPRE and evaluate their im-munogenicity,the G Ⅱ type PEDV S gene,combined with the elements promoting the protein ex-pression and enhancing immune effects,was synthesized by the company and cloned into pET32a(+).Af-ter double enzyme digestion and gel recovery,the gene named as TSCW was cloned into pFastBacl to construct the recombinant plasmid pFastBac-TSCW.pFastBac-TSCW was further transformed into DH10Bac competent cells to obtain recombinant bacmid Bacmid-TSCW.Subsequently,the Bacmid-TSCW was transfected into sf9 cells to obtain recombinant baculovirus BV-TSCW.After co-infection of BV-TSCW and BV-M into sf9 cells,viral like particles VLP-TSCW was obtained and used to immunize mice to evaluate its immunogenicity.The results showed that the recombi-nant plasmid pFastBac-TSCW and bacmid Bacmid-TSCW were successfully constructed.After transfection of sf9 cells with recombinant baculovirus,significant cytopathic effects were observed.PCR and Western blot results showed that the recombinant baculoviruses existed stably in sf9 cells and the target proteins was also expressed stably.In addition,the electron microscopy results showed that BV-TSCW and BV-M successfully assembled into viral like particles VLP-TSCW.Furthermore,ELISA results indicated that VLP-TSCW induced high level specific antibodies.The above results laid the foundation for further optimization,design and development of PEDV VLPs subunit vaccines.

Objective:To study the impact of early blood concentrations of tacrolimus on the survival of patients after liver transplantation.Methods:Clinical data of 159 patients with liver diseases undergoing classic orthotopic liver transplantation at the Department of Hepatobiliary Surgery, the 900th Hospital of the Joint Logistics Support Force between January 2010 and December 2019 were retrospectively analyzed, including 123 males and 36 females, aged (48.0±12.2) years. According to survival status, patients were divided into the surviving group ( n=108) and death group ( n=51). Inverse probability of treatment weighting (IPTW) was applied to adjust for confounding factors by weighting covariates between the two groups. Univariate and multivariate Cox regression analysis were used to examine the relationship between early tacrolimus concentrations and mortality, and restrict cubic spline (RCS) curves were employed to assess the nonlinear relationship further. Results:After IPTW weighting, multivariate Cox regression analysis indicated that early tacrolimus concentration ( HR=2.479, 95% CI: 1.354-4.537, P<0.001) and preoperative international normalized ratio ( HR=0.358, 95% CI: 0.162-0.792, P=0.011) levels were risk factors for post-transplant survival. The RCS curve revealed that the optimal thresholds for early tacrolimus concentration were 6.30 ng/ml and 8.28 ng/ml ( P<0.001). Patients were therefore divided into the optimal concentration group ( n=60) and the non-optimal concentration group ( n=99). After IPTW weighting, the optimal concentration group comprised 102 cases, and the non-optimal concentration group included 212 cases. The 1-year, 3-year and 5-year survival rates in the optimal concentration group and the non-optimal concentration group were 97.06%, 81.37% and 75.49%, and 86.32%, 64.62% and 50.94%, respecitvely ( χ2=8.37, P<0.001). Conclusion:Early tacrolimus concentration is an independent risk factor for post-transplant survival. A tacrolimus concentration >8.28 ng/ml or <6.30 ng/ml is associated with a relatively higher mortality rate.

Objective:To analyze the effects of hemoglobin, albumin, lymphocyte and platelet count (HALP) scores on the survival of gallbladder cancer patients after radical surgery, and to construct a prognostic prediction model and evaluate based on HALP scores.Methods:The clinical data of 95 patients with gallbladder cancer who underwent surgical treatment in Fuzong Clinical Medical College of Fujian Medical University (the 900th Hospital) from January 2010 to December 2022 were retrospectively analyzed, including 40 males and 55 females, with the age of (63.3±12.2) years. All patients were divided into a low HALP group (HALP score ≤35.4, n=45) and a high HALP group (HALP score >35.4, n=50) based on the optimal cut-off value of 35.4 for predicting postoperative survival as determined by the receiver operating characteristic (ROC) curve. Survival curves were plotted by the Kaplan-Meier method, and survival comparisons were performed using the log-rank test. Univariate and multivariate Cox regression were used to analyze the effect of HALP score on survival after radical surgery in patients with gallbladder cancer. Based on the multifactorial results, nomogram was constructed to predict the survival of gallbladder cancer patients after radical surgery, and ROC curves, consistency indexes were evaluated in the model. Results:A total of 95 patients were followed up for 1-150 months, with a median of 13 months. The 1-, 3-, and 5-year postoperative cumulative survival rates of patients in the low HALP group were 56.2%, 31.2%, and 11.1%, respectively, which were lower than those of the high HALP group, which were 82.9%, 59.6%, and 40.7%, and the difference was statistically significant ( χ2=12.50, P<0.001). Based on multifactorial Cox regression analysis, preoperative total bilirubin ≥23 μmol/L, with lymph node metastasis, tumor TNM stage Ⅲ-Ⅳ, and postoperative incision infection were the risk factors for survival after radical surgery in patients with gallbladder cancer, and a HALP score of >35.4 and Child-Pugh A were protective factors (all P<0.05). Based on the results of multivariate Cox regression analysis to construct a nomogram for predicting overall survival after radical surgery in patients with gallbladder cancer, the consistency index between the prediction of the nomogram and the actual situation was 0.801 (95% CI: 0.752-0.850), and the area under the ROC curve for predicting overall survival was 0.812 (95% CI: 0.704-0.902). Conclusion:The preoperative high HALP score (HALP > 35.4) is a protective factor for survival after radical surgery in gallbladder cancer patients, and the nomogram constructed based on the HALP score for survival prediction after radical surgery for gallbladder cancer has high accuracy and can be used for the assessment of postoperative survival.

Objective:To elucidate the prognostic differences and risk factors associated with different patterns of recurrence and metastasis following pancreatic cancer (PC) resection.Methods:This is a retrospective case series study. Clinicopathological data and follow-up information were retrospectively collected from 210 patients who underwent surgery for PC at the Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, between January 2014 and December 2023. There were 114 males and 96 females; the age was (64.5±10.3) years (range: 29 to 89 years). Survival functions based on different times to recurrence and metastasis and different patterns of recurrence and metastasis were estimated using the Kaplan-Meier method, and survival differences among groups were compared using the Log-rank test. Identifying the optimal cutoff for time to postoperative recurrence/metastasis predicting overall survival (OS) in pancreatic cancer patients via the minimum p-value approach. Univariate and multivariate Cox regression analyses were performed to identify independent risk factors affecting OS following pancreatectomy.Results:A total of 210 patients met the inclusion and exclusion criteria. Among them, 71 patients remained free of recurrence and metastasis, while 139 developed recurrence and metastasis. The patterns included local recurrence ( n=34), liver metastasis ( n=39), lung metastasis ( n=11), peritoneal metastasis ( n=13), multiple sites metastasis ( n=38), bone metastasis ( n=3), and kidney metastasis ( n=1). OS was significantly shorter in the group with postoperative recurrence and metastasis compared to the group without recurrence/metastasis (23.07 months vs.not reached, P<0.01). The optimal cut-off time distinguishing early from late recurrence and metastasis was 13 months. There was a significant difference in post-recurrence survival between patients with early and late recurrence and metastasis (16.03 months vs. 52.40 months, P=0.009). The Kaplan-Meier survival curve showed that different postoperative recurrence and metastasis patterns had different impacts on OS, with lung metastasis showing the best prognosis compared to local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastasis ( P<0.01). Multivariate Cox analysis revealed that Eastern Cooperative Oncology Group (ECOG) score 1, postoperative carcinoembryonic antigen (CEA) ≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for postoperative recurrence and metastasis (all P<0.05). Conclusions:Considerable prognostic heterogeneity exists in postoperative PC patients depending on the site and pattern of recurrence or metastasis. Specifically, lung metastasis portends a significantly more favorable prognosis than liver metastasis, peritoneal metastasis, local recurrence, or multiple sites metastases. ECOG score 1, postoperative CEA≥15 μg/L, poor tumor differentiation, postoperative local recurrence, liver metastasis, peritoneal metastasis, and multiple sites metastases are independent risk factors for OS in postoperative PC patients.

The purpose of this study is to investigate the effect of TPCK trypsin on the proliferation pattern of porcine epidemic diarrhea virus in Vero cells.The TPCK trypsin and conventional tryp-sin were added for virus proliferation,and RT-qPCR technology was used to analyze the changes in virus adsorption and invasion in Vero cells.The replication ability of porcine epidemic diarrhea vi-rus in Vero cells was explored through growth curve drawing,IFA identification,and cell activity detection.The results showed that the optimal concentrations of TPCK trypsin and conventional trypsin were 1 mg/L and 6 mg/L,respectively.The virus showed a decreasing trend with the pro-longation of TPCK trypsin and conventional trypsin pretreatment time.Adding different pancreatic enzymes during the virus proliferation process did not promote the virus invasion in Vero cells.Af-ter 4 h of invasion,the virus particles of each group gradually increased.By plotting the growth curve,it was found that the virus content of the TPCK trypsin group reached its highest level at 24 h(lgTCID50=(6.30±0.14)/0.1 mL),followed by a decreasing trend at 36 h,and the fluorescence intensity produced at 24 h was higher than that of conventional trypsin.In summary,TPCK trypsin has a better promoting effect on the proliferation of porcine epidemic diarrhea virus in Vero cells.It provided theoretical basis for further research on the mechanism of TPCK trypsin affecting porcine epidemic diarrhea virus proliferation,and also provided data support for the isola-tion and purification of porcine epidemic diarrhea virus epidemic strains.