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.

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.

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

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.

To rapidly and accurately detect Mycobacterium avium subsp.paratuberculosis(MAP),this study designed and screened primers and probes using its specific gene F57 as the detection target,established a recombinant enzyme-mediated isothermal amplification(RAA)fluorescence detection method,and applied this method to detect 116 clinical samples from cattle and sheep.The results showed that using the primer and probe combination B12F/B2R(0.4 μmol/L)+Probe B(0.12 μmol/L),MAP could be detected at a constant temperature of 42 ℃ within 20 min;this de-tection method had no cross-reaction with 11 common pathogens such as Escherichia coli,Clos-tridium,and bovine viral diarrhea in sheep and cattle;the lowest detection limit was 1.0×102 cop-ies/μL;the coefficient of variation was 3.77％—5.29％;24 clinical samples were positive,with a co-incidence rate of 88.89％with GBT27637-2011.In summary,this study established a fluorescent RAA detection method for MAP,which is simple,rapid,highly specific,sensitive,reproducible,and has a high coincidence rate with national standards,making it suitable for clinical detection and epi-demiological studies.

Swine enteric coronaviruses(SeCoV),such as porcine epidemic diarrhea virus(PEDV),transmissible gastroenteritis virus(TGEV),and porcine delta coronavirus(PDCoV),cause severe diarrhea in piglets,resulting in substantial losses in pig farming.In this study we establish a triple fluorescence reverse transcription-quantitative PCR(RT-qPCR)method for the simultaneous de-tection of PEDV,TGEV,and PDCoV.The specific primers and probes for each target virus were designed based on conserved sequences from the PEDV M gene,the TGEV ORF 1b gene,and the PDCoV ORF 1b gene respectively.Following the optimization of parameters and conditions,a triple RT-qPCR method was successfully established to simultaneously detect PEDV,TGEV,and PD-CoV.The developed assay exhibits strong specificity for these three pathogens without any cross-reaction with other common porcine viruses like CSFV,PCV2,PoRVA,PRV,and PRRSV.The de-tection limit of linear templates for pTOPO-PEDV 128,pTOPO-TGEV 116,and pTOPO-PDCoV 125 recombinant plasmids were 16.835,17.610 and 17.020 copies/μL,respectively.The intra group and inter group coefficients of variation were less than 5％,with no significant differences observed(P＞0.05).Moreover,the detection consistency rate of the developed RT-qPCR was compared with standard method and showed 100％agreement.Out of 35 small intestine tissue samples,17 tested positive for PEDV,resulting in a positive rate of 48.57％(17/35).The tests for TGEV and PDCoV yielded negative results,and no mixed infections were detected.Based on the above results,the tri-ple RT-qPCR method established is specific,sensitive,stable,and rapid,and can be used for clinical detection and differential diagnosis of PEDV,TGEV,and PDCoV simultaneously,providing a method for the detection and epidemiological investigation of porcine diarrhea coronaviruses.

Objective To develop a core outcome set(COS)for clinical effectiveness trials of heart failure with preserved ejection fraction(HFpEF).Methods Outcome measures were collected through database literatures search,clinical experts questionnaire survey and semi-structured patients interview.Then,the outcome measures pool was constructed and domains were divided.Candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,a consensus meeting was held to determine COS and reach a consensus.Results A total of 317 outcome measures which could be divided into 6 domains were collected through literature research,questionnaire survey and semi-structured interview.15 candidate outcome measures of COS were screened through two rounds of Delphi survey.Finally,the consensus meeting reached consensus on a COS with 6 entries.Conclusion In this study,a COS for clinical effectiveness trials of HFpEF was developed,which is conducive to the standardization of efficacy evaluation.

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.