Objective:To assess the efficacy and safety of Gongxuening Capsules in reducing post-abortion bleeding following artificial abortion.Methods:A multicenter, randomized, double-blind study was conducted. From May 31, 2022 to March 31, 2023, 484 women who underwent vacuum aspiration abortion for early intrauterine pregnancy were enrolled in 11 centers and randomly assigned to control group and the study group at a 1∶1 ratio using a center-block randomization method. Control group were administered a placebo of Gongxuening Capsules for 9 d, while the study group received the actual Gongxuening Capsules for the same duration. The outcomes measured included vaginal bleeding volume, duration of vaginal bleeding, endometrial thickness, time to menstrual recovery, and complications.Results:1) A total of 484 subjects were enrolled, and 472 completed the study. Totally 450 subjects were included in the efficacy analysis set, with 224 in control group and 226 in the study group; 468 subjects were included in the safety analysis set, with 236 in control group and 232 in the study group. The baseline characteristics of the two groups were comparable (all P>0.05). 2) The vaginal bleeding volume was lower in the study group [(13.30±12.14) mL] than in control group [(19.00±17.67) mL, P<0.001]. The proportion of subjects in the study group with bleeding days less than 4 d [29.65% (67/226)] was higher than that in control group [19.20% (43/224), P=0.010]. 3) No significant differences were observed between the two groups in terms of time to menstrual recovery and endometrial thickness (all P>0.05). 4) In the study group, 3 subjects experienced non-therapeutic-related complications, while 11 subjects in control group. The incidence of complications was lower in the study group [1.29% (3/232)] than in control group [4.66% (11/236), P=0.033]. Conclusion:The administration of Gongxuening Capsules to women following artificial abortion significantly reduced vaginal bleeding volume and was associated with good safety, with the treatment being well-tolerated by the subjects.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

Objective To analyze the PLCβ4 gene mRNA expression and its clinical significance in hepatocellular carcinoma (HCC) based on TCGA database. Methods Based on the data on 424 clinical samples (including 374 cases of HCC tissues and 50 cases of nontumor liver tissues) in the TCGA database, Kaplan–Meier method, Cox regression analysis, and immune infiltration analysis were performed to evaluate the relationship between PLCβ4 gene and the clinical characteristics and survival prognosis of HCC patients. Correlation analysis between PLCβ4 gene and 24 types of immune cells was applied to investigate the relationship between PLCβ4 gene and immune cell infiltration and mRNA expression level of TP53 gene, a high-frequency mutation gene in HCC. In addition, paraffin sections of highly, moderately, and poorly differentiated tumor tissues and normal liver tissues from HCC patients were collected. The histopathological observation was carried out via HE staining method, and the expression levels of PLCβ4 and Ki-67 proteins in each clinical sample were verified through the immunohistochemical method. Results The expression level of PLCβ4 gene in HCC was significantly higher than that in normal tissues (P<0.01), and all patients in the PLCβ4 high-expression group had a significantly longer overall survival than those in the low-expression group (P<0.05), which suggested that PLCβ4 substantially affected the prognosis of HCC patients. Correlation analysis showed that the expression level of PLCβ4 gene was highly correlated with immune cell infiltration and the expression level of TP53 gene. As verified by clinical sample experiments, HE staining experiments and immunohistochemical results revealed that PLCβ4 gene expression in HCC tissue samples was significantly higher than that in normal tissues (P<0.001), and it was negatively correlated with the degree of differentiation. Conclusion PLCβ4 may serve as an independent prognostic factor in HCC and is expected to be a novel molecular target for HCC treatment.

ObjectiveTo screen and evaluate the antidepressant compounds of Curcumae Rhizoma， and explore its mechanism of regulating the nuclear factor erythroid 2-related factor 2（Nrf2）/glutathione（GSH） peroxidase 4（GPX4）/GSH pathway from an antioxidant perspective. MethodsThe antioxidant activities in vitro of 11 characteristic components from Curcumae Rhizoma， including curcumol， curgerenone， curdione， curzerene， curcumenol， curcumenone， dehydrocurdione， isocurcumenol， furanodienone， furanodiene and zederone， were detected using 1，1-diphenyl-2-picrylhydrazyl（DPPH） and 2，2'-azinobis-（3-ethylbenzothiazoline-6-sulphonic acid） diammonium salt（ABTS） radical scavenging assays. The depression in Drosophila melanogaster was induced by chronic unpredictable mild stress（CUMS）， and W1118 wild-type male D. melanogaster were randomly divided into blank group， model group， curcumol group， curgerenone group， curdione group， curzerene group， curcumenol group，curcumenone group， dehydrocurdione group， isocurcumenol group， furanodienone group， furanodiene group， zederone group and fluoxetine group（10 μmol·L^-1）. The treatment groups received a dose of 0.1 g·L^-1 of 11 characteristic components from Curcumae Rhizoma， while the blank and model groups were administered equivalent volumes of solvent. The sucrose preference test， climbing test and forced swimming test were used to evaluate the behavioral indicators of depression in D. melanogaster. Liquid chromatography-mass spectrometry（LC-MS） was used to detect the levels of 5-hydroxytryptamine（5-HT） and dopamine（DA） in the brain of D. melanogaster， and the entropy weight method was used to comprehensively evaluate neurobehavioral and neurotransmitter indicators， resulting in the identification of the antidepressant active components of Curcumae Rhizoma. In addition， a mouse depression model was established by CUMS， and C57BL/6J mice were randomly divided into blank group， model group， low and high dose groups of curzerene（0.5， 1 mg·kg^-1）， and fluoxetine group（10 mg·kg^-1） to confirm the antidepressant effect of the optimal active ingredient by behavioral analysis. Flow cytometry was used to detect the content of reactive oxygen species（ROS） in the hippocampus of mice from each group. Enzyme-linked immunosorbent assay was used to detect the contents of adenosine triphosphate（ATP）， superoxide dismutase（SOD）， catalase（CAT） and GSH. Transmission electron microscope（TEM） was used to observe the effect of curzerene on the ultrastructure of mitochondria in hippocampal tissue. Western blot was performed to determine the level of Nrf2 protein， and Nrf2 inhibitor（ML385） was used to verify the relationship between the antidepressant effect of curzerene and regulation of Nrf2. Real time fluorescence quantitative polymerase chain reaction（Real-time PCR） was employed to detect the effect of curzerene on the mRNA expression level of GPX. ResultsIn vitro antioxidant experiments showed that curzerene and curgerenone exhibited the most significant ability to scavenge free radicals， and comprehensive evaluation results of entropy weight method indicated that curzerene stood out as the most promising active component. Compared with the blank group， the model group exhibited a significant decrease in sucrose preference coefficient and the number of times entering the open field center（P<0.01）， as well as a significant increase in immobility time in the forced swimming and tail suspension tests（P<0.01）， and the ROS content in hippocampus significantly elevated（P<0.01）， while the ATP content significantly reduced（P<0.01）. In the hippocampal neurons of the model group， mitochondrial cristae were disordered， with vacuolation of the inner membrane and severe damage. Nrf2 protein expression level in the model group was significantly decreased（P<0.05）， and the antioxidant enzymes SOD， CAT and GSH contents were also significantly reduced（P<0.05， P<0.01）， and the gene expression levels of GPX1， GPX4 and GPX7 were significantly decreased（P<0.01）. Compared with the model group， the high-dose group of curzerene showed a significant increase in the sucrose preference coefficient and the number of times entering the open field center（P<0.05）， as well as a significant decrease in immobility time in the forced swimming and tail suspension tests（P<0.05， P<0.01）. The ROS content in the hippocampus of the high-dose group of curzerene was significantly reduced（P<0.01）， while the ATP content was significantly increased（P<0.05）. The neuronal mitochondrial damage in the hippocampus of the high-dose group of curzerene was alleviated， and the expression level of Nrf2 protein was significantly increased（P<0.05）. The Nrf2 inhibitor ML385 reversed the improvement of curzerene on depressive behaviors in CUMS mice. The GSH content in the hippocampal neurons of the high-dose group of curzerene was significantly increased（P<0.01）， while there were no significant differences in SOD and CAT contents. The expression level of GPX4 gene in the hippocampal neurons of the high-dose group of curzerene was significantly increased（P<0.05）， while there were no significant differences in other GPX genes. ConclusionCurzerene is the best component with antidepressant activity in Curcumae Rhizoma. It may improve mitochondrial dysfunction to exert its antidepressant effect by regulating Nrf2 and its downstream GPX4/GSH pathway rather than CAT or SOD pathways.

AIM:To investigate the safety and efficacy of selecting implantable collamer lens(ICL)size for postoperative vaults using sulcus to sulcus(STS)and other data measured by ultrasound biomicroscopy(UBM), and to explore the relevant factors affecting vaults.METHODS: Prospective case observational study. A total of 95 patients(188 eyes)with ametropia who underwent ICL size optimization and 90 patients(174 eyes)without ICL size optimization, from January to December 2022 and underwent regular follow-up for 6 mo were selected. Patients were divided into an optimized group and a standard group based on whether ICL size optimization was performed. The patients were followed up at 1 d, 1 wk, 1, 3, and 6 mo, and uncorrected visual acuity(UCVA), best corrected visual acuity(BCVA), refraction state, intraocular pressure(IOP), corneal status, anterior chamber depth(ACD), angle opening, vaults and corneal endothelial cell count were collected.RESULTS: No significant difference in spherical equivalent, UCVA and BCVA was found between the two groups(all P >0.05). The safety index was 1.21±0.24 and 1.19±0.21 at 6 mo for the two groups, respectively, while the efficacy index were 1.18±0.22 and 1.07±0.26. The vaults at 6 mo for the two groups was 407.77±159.31 and 467.16±250.07 μm, respectively. In the optimization group, 92.0% of eyes achieved the desired vaults postoperatively, while 74.1% of eyes in the standard group reached the desired vaults. Both groups exhibited a slight downward trend in vaults over time, with no significant differences between the two groups(F=3.478, P=0.063). However, the standard group experienced 6 eyes of ICL replacement and 2 eyes of ICL removal due to acute angle-closure glaucoma induced by angle closure.CONCLUSION: Selecting the ICL size and determining the implantation orientation based on sulcus to sulcus(STS)and other data measured by UBM provides good safety, efficacy, and predictability for postoperative vaults.

AIM:To investigate the safety and efficacy of selecting implantable collamer lens(ICL)size for postoperative vaults using sulcus to sulcus(STS)and other data measured by ultrasound biomicroscopy(UBM), and to explore the relevant factors affecting vaults.METHODS: Prospective case observational study. A total of 95 patients(188 eyes)with ametropia who underwent ICL size optimization and 90 patients(174 eyes)without ICL size optimization, from January to December 2022 and underwent regular follow-up for 6 mo were selected. Patients were divided into an optimized group and a standard group based on whether ICL size optimization was performed. The patients were followed up at 1 d, 1 wk, 1, 3, and 6 mo, and uncorrected visual acuity(UCVA), best corrected visual acuity(BCVA), refraction state, intraocular pressure(IOP), corneal status, anterior chamber depth(ACD), angle opening, vaults and corneal endothelial cell count were collected.RESULTS: No significant difference in spherical equivalent, UCVA and BCVA was found between the two groups(all P >0.05). The safety index was 1.21±0.24 and 1.19±0.21 at 6 mo for the two groups, respectively, while the efficacy index were 1.18±0.22 and 1.07±0.26. The vaults at 6 mo for the two groups was 407.77±159.31 and 467.16±250.07 μm, respectively. In the optimization group, 92.0% of eyes achieved the desired vaults postoperatively, while 74.1% of eyes in the standard group reached the desired vaults. Both groups exhibited a slight downward trend in vaults over time, with no significant differences between the two groups(F=3.478, P=0.063). However, the standard group experienced 6 eyes of ICL replacement and 2 eyes of ICL removal due to acute angle-closure glaucoma induced by angle closure.CONCLUSION: Selecting the ICL size and determining the implantation orientation based on sulcus to sulcus(STS)and other data measured by UBM provides good safety, efficacy, and predictability for postoperative vaults.

Objective To explore the application value of targeted next-generation sequencing(tNGS)in the detection of influenza A virus.Methods A retrospective analysis was conducted on the clinical data of 116 patients suspected of having influenza A at our hospital from October 2024 to February 2025.All patients underwent sputum tNGS and throat swab influenza nucleic acid tests due to fever and pulmonary infection,and the diagnostic efficacy of the two methods was compared.Results Among 116 patients,93 were diagnosed with influenza A.Among these 93 influenza A patients,the detection rate of tNGS was higher than that of in-fluenza nucleic acid testing(P<0.05).The results of tNGS and influenza nucleic acid testing for influenza A showed significant consistency with the confirmed diagnosis(P<0.05).There was a statistically significant difference in tNGS sequence counts between the influenza nucleic acid-positive and negative groups(P<0.05).Twenty-three patients excluded from influenza A diagnosis served as the control group.Comparisons of white blood cell(WBC)counts among the influenza nucleic acid-positive group,negative group,and control group showed statistically significant differences(P<0.05),whereas comparisons of C-reactive protein(CRP)and serum amyloid A(SAA)showed no statistically significant differences(P>0.05).Conclusion tNGS demonstrates significant advantages in detecting influenza A virus.Combined with peripheral blood infection-related in-dicators for comprehensive diagnosis,it may provide a more effective approach for early diagnosis and treatment of influenza virus infectious diseases.

Objective:To explore the clinical and salivary metabolic component characteristics of patients with OSA combined with LPRD, and to investigate the potential co-morbid mechanisms of LPRD and OSA.Methods:A total of 98 adult patients with OSA (81 males and 17 females) who visited the Department of Otolaryngology of Peking University Third Hospital from March 2024 to May 2024 were consecutively included. The age ranged from 19 to 68 years (mean±standard deviation: 39.44±11.39 years). The severity of OSA was grouped according to the apnea-hypopnea index (AHI) [mild group (29 cases), moderate group (26 cases), and severe group (43 cases)]. Patients with a reflux symptom index score (RSI)>13 points and/or a reflux sign score (RFS)>7 points were considered LPRD positive. Among the 98 OSA patients, 48 had LPRD and 50 did not. All patients were diagnosed with OSA through out of center sleep testing(OCST) or polysomnography (PSG), and general information, laryngoscopic examination images, and RSI scales were collected. The RFS was evaluated based on the laryngoscopic examination results. Saliva samples were collected from both groups for metabolomics analysis. Chi-square test was used for categorical variable comparison, and independent sample t-test or one-way ANOVA analysis of variance was used for continuous variable comparison.Results:Stratified analysis showed that the proportion of male patients in the mild OSA group was significantly lower than that in the moderate or severe OSA groups (58.6%, 92.3%, 93.0%, χ2=16.43, P<0.001), and the BMI was significantly lower in the mild OSA group [(25.80±4.41)kg/m 2, (27.53±3.88)kg/m 2, (28.99±3.65)kg/m 2, F=6.91, P=0.002]. There was no statistically significant difference in the prevalence of LPRD among patients with different severity of OSA. The BMI of OSA patients with LPRD was higher than that of patients with OSA alone [(28.65±4.75)kg/m 2, (26.94±3.16)kg/m 2, t=-2.07, P=0.041], but there were no statistically significant differences in gender composition, age, AHI, and minimum blood oxygen saturation between the two groups. The metabolomics results of saliva samples from both groups showed significant differences in the levels of tryptophan pathway metabolites. The salivary serotonin metabolite level in patients with LPRD combined with OSA was significantly lower than that in patients with OSA alone (relative abundance 0.12±0.019 vs 0.22±0.046, t=2.04, P=0.045). Conclusion:Patients with OSA combined with LPRD have a greater BMI and significantly lower serotonin, a tryptophan metabolite component of saliva, which may be a potential co-morbidity mechanism between OSA and LPRD.

Thirteen novel diterpenoids, comprising seven tiglianes (walliglianes G-M, 1-7), four rhamnofolanes (wallinofolanes A-D, 8-11), and two daphnanes (wallaphnanes A and B, 12 and 13), together with two known rhamnofolane diterpenoids (euphorwallside H and euphorwallside I, 14 and 15), were isolated and characterized from Euphorbia wallichii(E. wallichii). The chemical structures of these compounds were elucidated through nuclear magnetic resonance (NMR), mass spectrometry (MS), and quantum chemical calculations. Compounds 9 and 11 demonstrated protective effects against H₂O₂-induced BV-2 microglial cell damage. Molecular docking analyses indicated that compound 9 exhibited binding affinity to the anti-oxidant-related targets HMGCR, GSTP1, and SHBG.
Euphorbia/chemistry* ; Antioxidants/isolation & purification* ; Diterpenes/isolation & purification* ; Molecular Structure ; Mice ; Molecular Docking Simulation ; Animals ; Hydrogen Peroxide/toxicity* ; Cell Line ; Microglia/drug effects*

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.