Objective To analyze Chinese and English publications pertaining to Oncomelania hupensis control from 2005 to 2024, so as to decipher the research status and hotspots of O. hupensis control. Methods Chinese and English publications pertaining to O. hupensis control from 2005 to 2024 were retrieved in the Web of Science Core Collection Database and China National Knowledge Infrastructure. The annual number of publications was analyzed from 2005 to 2024, and the author and institution cooperation networks were mapped using the software CiteSpace 6.3.1. Keywords were extracted from publications to map the co-occurrence, burst and timeline of keywords to identify the research hotspots of O. hupensis control. Results A total of 158 English publications and 771 Chinese publications were included for bibliometric analyses. The overall output of English publications was relatively small from 2005 to 2024, the annual average publication was 7.90 publications. Parasites & Vectors was the most productive journal by the number of publications (21 publications). The three most productive authors included Li Shizhu (24 publications), Zhou Xiaonong (13 publications), and Yang Kun (12 publications), and the three most productive institutions included Chinese Center for Disease Control and Prevention (49 publications), the WHO (27 publications), and Fudan University (25 publications). The annual average number of Chinese publications was high from 2005 to 2015 (57.73 publications), and reduced to 15.11 publications during the period from 2016 to 2024, with Chinese Journal of Schistosomiasis Control as the most productive journal (241 publications). The three most productive authors included Wang Wanxian (18 publications), Sun Qixiang (16 publications), and Dai Jianrong (16 publications), and the three most productive institutions included Jiangsu Institute of Parasitic Diseases (55 publications), Chinese Center for Disease Control and Prevention (47 publications), and Hubei Uni-versity (38 publications). Among the 158 English publications, molluscicidal effect, climate change, geographic information, biological control, machine learning were current research hotspots, and the Yangtze River and elimination were emerging research hotspots. Among the 771 Chinese publications, molluscicidal effect, niclosamide, comprehensive management, molluscicide, effectiveness evaluation, marshland, and endophyte were current research hotspots, and the future research hotspots shifted to molluscicidal effect and pyriclobenzuron. Conclusions Limited attention is paid to the research on O. hupensis control across the world. The Yangtze River, elimination, molluscicidal effect, and pyriclobenzuron may be future research hotspots. High attention is recommended to be paid to the research on O. hupensis control, and development of diverse approaches for O. hupensis control is of urgent needs. We should continue to attach importance to the control research of O. hupensis and strengthen the exploration of diverse snail extermination and control methods.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P＜0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P＞0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.

Objective:To investigate the effect and mechanism of ginkgo acid(GA)on hepatic fibrosis in rats.Methods:CCl4 and TAA were used to construct rat liver fibrosis model,and GA or combined ferroptosis inhibitor(Fer-1)was given to intervene.The liver tissue and serum of rats were obtained and histopathologically evaluated by HE,Masson and Sirius red staining,respecively.The expression of HA,LN,Ⅳ-C and PC-Ⅲ in serum were detected by Elisa and the expression of GPX4 and FTH1 were detected by Western blot.Results:HE staining showed that,com-pared with TAA and CCl4 groups,the fibrosis level of GA group was significantly decreased.The results of Masoon and Sirius red staining showed that compared with TAA and CCl4 groups,the rate of collagen fibers in liver of GA group was significantly decreased(P＜0.05).Elisa results showed that compared with TAA and CCl4 groups,the levels of HA,LN,Ⅳ-C and PC-Ⅲ in serum of rats in GA group were significantly decreased(P＜0.05).After the intervention of GA com-bined with Fer-1,Western blot results showed that compared with TAA and CCl4 groups,the expression of GPX4 and FTH1 in liver of rats in GA group were significantly increased(P＜0.05).Compared with GA group,GPX4 and FTH1 levels in Fer group were significantly decreased(P＜0.05);The histopathological results showed that compared with GA group,the rate of liver collagen fibers in Fer group was significantly increased(P＜0.05).Conclusion:GA has anti-hepatic fi-brosis effect,which is associated with inducing ferroptosis.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

AIM To establish a UPLC method for the simultaneous content determination of liquiritin,ammonium glycyrrhizate,naringin,neohesperidin,hesperidin,rosmarinic acid,baicalin,wogonoside,baicalein,wogonin and praeruptorin A in Tongxuan Lifei Pills,and to make chemometric investigation.METHODS The analysis was performed on a 30 ℃ thermostatic SVEA C18 column(2.1 mm×150 mm,2.5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 0.5 mL/min in a gradient elution manner,and the detection wavelength was set at 250 nm.Subsequently,cluster analysis,principal component analysis and partial least square discriminant analysis were performed.RESULTS Eleven constituents showed good linear relationships within their own ranges(R2＞0.990 0),whose average recoveries were 90.00％-98.32％with the RSDs of 0.35％-1.89％.Forty batches of samples were clustered into 3 types.Baicalein,baicalin,liquiritin,wogonin,wogonoside and neohesperidin were taken as quality differential markers.CONCLUSION This simple and reproducible method can provide the basis for quality control and evaluation of Tongxuan Lifei Pills.

Objective To explore the effect of PSMA gene on the biological behavior of prostate cancer cells and its molecular mechanism.Methods The expression of PSMA in prostate cancer and its relationship with prognosis were analyzed based on the GEPIA database.The mRNA and protein expression levels of PSMA in normal prostate epithelial cell RWPE-2 and prostate cancer cells DU145 and PC-3 were detected by RT-qPCR and Western blot,respectively.DU145 cells were used to construct knockdown cell lines,which were transfected with PSMA lentiviral knockdown plasmid and its negative control,serving as the sh PSMA group and the sh NC group,respectively;PC-3 cells were used to construct overexpression cell lines,which were transfected with PSMA lentiviral overexpression plasmid and its negative control,serving as the OE PSMA group and the OE NC group.CCK-8 assay and clone formation assay were used to detect the cell proliferation ability,wound healing assay and Transwell assay were used to detect the cell migration and invasion abilities,flow cytometry was used to detect the cell apoptosis,and Western blot was used to detect the expression of PI3K,Akt,BAX and Bcl-2 proteins.Prostate cancer cells of DU145 cell line were inoculated into the left armpit of BALB/c nude mice to form tumors,the tumor size was observed,and the tumor weight was measured;HE staining was used to evaluate the degree of damage;and the expression of PSMA was detected by immunohistochemistry.Results GEPIA database analysis showed that PSMA gene was highly expressed in prostate cancer and was related to the prognosis of prostate cancer.The results of RT-qPCR and Western blot showed that the mRNA and protein expression levels of PSMA in PC-3 and DU145 cells were higher than those in RWPE-2 cell(P<0.01).Compared with the sh NC group,the sh PSMA group showed decreased cell proliferation,migration and invasion abilities(P<0.05),and increased cell apoptosis rate(P<0.05).Compared with the OE NC group,the OE PSMA group demonstrated increased cell proliferation,migration and invasion abilities(P<0.05),and decreased apoptosis rate(P<0.05).Compared with the sh NC group,the protein expression of PI3K,Akt and Bcl-2 in the sh PSMA group decreased(P<0.05),and the protein expression of BAX increased(P<0.05).Compared with the OE NC group,the protein expression of PI3K,Akt and Bcl-2 in the OE PSMA group increased(P<0.05),and the protein expression of BAX decreased(P<0.05).Results of subcutaneous transplantation of prostate cancer in nude mice showed that the tumor weight of nude mice decreased(P<0.05),tumor cells exhibited irregular shapes,nuclei were deeply stained,and PSMA expression was weakly positive,after knocking down the PSMA.Conclusion PSMA gene may participate in regulating the proliferation,invasion,migration,and apoptosis of prostate cancer cells through the PI3K/Akt signaling pathway.

Objective:To investigate the efficacy and safety of bridging thrombectomy and direct thrombectomy in patients with acute anterior circulation large core infarction.Methods:A retrospective cross-sectional study was performed; 131 patients with acute anterior circulation large core infarction with an onset time≤ 24 hours received endovascular treatment (EVT) at Department of Intervention Neurosurgery, Nanyang Central Hospital, Xinxiang Medical University, from June 2022 to June 2024 were chosen; they were divided into bridging thrombectomy group (accepted intravenous thrombolysis [IVT] before EVT, n=55) and direct thrombectomy group ( n=76). Statistical analysis was conducted to compare the differences in efficacy and safety between the two groups. Efficacy indicators included modified Rankin scale (mRS) score 90 days after thrombectomy, and good prognosis rate 90 days after thrombectomy (mRS scores of 0-2). Safety indicators included intracranial hemorrhage (ICH) incidence within 72 hours of thrombectomy, symptomatic intracranial hemorrhage (sICH) incidence within 72 hours of thrombectomy, mortality 90 days after thrombectomy, and ratio of patients receiving decompressive craniectomy after surgery. Results:No significant difference between the direct thrombectomy group and bridging thrombectomy group was noted in terms of mRS score 90 days after thrombectomy (3 [2, 6] vs. 3 [2, 6]), good prognosis rate 90 days after thrombectomy (38.2% vs. 25.5%), ICH incidence within 72 hours of thrombectomy (30.3% vs. 40.0%), sICH incidence within 72 hours of thrombectomy (21.1% vs. 21.8%), mortality rate within 90 days of thrombectomy (28.9% vs. 25.5%), and ratio of patients receiving decompressive craniectomy after surgery (9.2% vs. 9.1%, P>0.05). Core infarction volume at 100 mL was used as grouping standard, subgroup analysis showed that when the core infarction volume was 70-100 mL and >100 mL, respectively, no significant difference in sICH incidence was noted between the bridging thrombectomy group and direct thrombectomy group ( P>0.05). Conclusion:For patients with acute anterior circulation large core infarction with an onset time≤ 24 hours, bridging thrombectomy has similar efficacy and safety as direct thrombectomy.