OBJECTIVE: To investigate the effects of asperuloside on cervical cancer based on endoplasmic reticulum (ER) stress and mitochondrial pathway. METHODS: Different doses (12.5-800 µg/mL) of asperuloside were used to treat cervical cancer cell lines Hela and CaSki to calculate the half maximal inhibitory concentration (IC₅₀) of asperuloside. The cell proliferation was analyzed by clone formation assay. Cell apoptosis, intracellular reactive oxygen species (ROS) and mitochondrial membrane potential were determined by flow cytometry. The protein expressions of cleaved-caspase-3, Bcl-2, Bax, Cyt-c, cleaved-caspase-4 and glucose-regulated protein 78 (GRP78) were analyzed by Western blot. And the inhibitor of ER stress, 4-phenyl butyric acid (4-PBA) was used to treat cervical cancer cells to further verify the role of ER stress in the apoptosis of cervical cancer cells induced by asperuloside. RESULTS: Asperuloside of 325, 650, and 1300 µg/mL significantly inhibited the proliferation and promoted apoptosis of Hela and CaSki cells (P<0.01). All doses of asperuloside significantly increased intracellular ROS levels, reduced mitochondrial membrane potential, significantly reduced Bcl-2 protein expression level, and increased Bax, Cyt-c, GRP78 and cleaved-caspase-4 expressions (P<0.01). In addition, 10 mmol/L 4-PBA treatment significantly promoted cell proliferation and reduced apoptosis (P<0.05), and 650 µg/mL asperuloside could reverse 4-PBA-induced increased cell proliferation, decreased apoptosis and cleaved-caspase-3, -4 and GRP78 protein expressions (P<0.05). CONCLUSION Our study revealed the role of asperuloside in cervical cancer, suggesting that asperuloside promotes apoptosis of cervical cancer cells through ER stress-mitochondrial pathway.
Female ; Humans ; Uterine Cervical Neoplasms/metabolism* ; Caspase 3/metabolism* ; bcl-2-Associated X Protein/metabolism* ; Reactive Oxygen Species/metabolism* ; Endoplasmic Reticulum Chaperone BiP ; HeLa Cells ; Proto-Oncogene Proteins c-bcl-2/metabolism* ; Apoptosis ; Endoplasmic Reticulum Stress ; Cell Line, Tumor

Background::With an increasing proportion of multiparas, proper interpregnancy intervals (IPIs) are urgently needed. However, the association between IPIs and adverse perinatal outcomes has always been debated. This study aimed to explore the association between IPIs and adverse outcomes in different fertility policy periods and for different previous gestational ages.Methods::We used individual data from China’s National Maternal Near Miss Surveillance System between 2014 and 2019. Multivariable Poisson models with restricted cubic splines were used. Each adverse outcome was analyzed separately in the overall model and stratified models. The stratified models included different categories of fertility policy periods (2014–2015, 2016–2017, and 2018–2019) and infant gestational age in previous pregnancy (<28 weeks, 28–36 weeks, and ≥37 weeks).Results::There were 781,731 pregnancies enrolled in this study. A short IPI (≤6 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.63 [1.55, 1.71] for vaginal delivery [VD] and 1.10 [1.03, 1.19] for cesarean section [CS]), low Apgar scores and small for gestational age (SGA), and a decreased risk of diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. A long IPI (≥60 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.18 [1.11, 1.26] for VD and 1.39 [1.32, 1.47] for CS), placenta previa, postpartum hemorrhage, diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. Fertility policy changes had little effect on the association of IPIs and adverse maternal and neonatal outcomes. The estimated risk of preterm birth, low Apgar scores, SGA, diabetes mellitus in pregnancy, and gestational hypertension was more profound among women with previous term births than among those with preterm births or pregnancy loss.Conclusion::For pregnant women with shorter or longer IPIs, more targeted health care measures during pregnancy should be formulated according to infant gestational age in previous pregnancy.

Objective To elucidate the bidirectional causal relationship between lipid profiles and colorectal cancer(CRC)by using the two-sample and two-step Mendelian randomization(MR)methods,and to explore the mediating role and proportion of immune cells as intermediary factors.Methods The pooled statistical data related to the study were screened,and 179 lipids and CRC were analyzed using two-sample and two-step MR with the inverse variance weighted method.Simultaneously,the causal effect was verified via Bayesian weighted MR.Two-step MR analysis was conducted to determine whether a mediated effect was exerted on immune cell traits.Sensitivity,heterogeneity,and pleiotropy analyses were performed to verify the reliability of the study results.Results The causal relationship between nine lipid traits and CRC was preliminarily identified,and no reverse causal effect was found(P>0.05).The validity of the results was verified via Bayesian weighted MR(P<0.05).Twenty-seven types of immune cells were suggested to exert a causal effect on CRC.The causal effect of phosphatidylcholine(O-18:2_20:4)on CRC was determined via mediation analysis(OR:0.8579,95% CI=0.7395-0.9952,P=0.0429).The CD127-mediated proportion on CD45RA+CD4+T cells was 9.14% (β=-0.1052,P=0.0155).Conclusion A causal relationship exists between lipid traits and CRC,and the intervention of CD127 on CD45RA+CD4+T cell helps phosph-atidylcholine reduce the risk of CRC.

Objective:To investigate the predictive value of preoperative D-dimer level for futile recanalization (FR) after mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS).Methods:It was a nested case-control study. A total of 116 patients with large vessel occlusion (LVO) stroke, who underwent successful recanalization (modified Thrombolysis in Cerebral Infarction, mTICI≥2b) after MT at the Stroke Unit of Beijing Hospital from August 2018 to January 2022,were consecutively enrolled, including 72 males (62.1%) with the age of (72.8±13.1) years. According to the 3-month modified Rankin Scale (mRS) score after MT, patients were divided into the meaningful recanalization group (mRS 0-2, n=41) and the futile recanalization group (mRS 3-6, n=75). The baseline clinical data of enrolled patients was collected. Logistic regression analysis was used to identify the independent risk factors for FR after MT in patients with AIS. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of D-dimer for FR. Results:Multivariate logistic regression analysis showed that high baseline systolic blood pressure (SBP) ( OR=1.038, 95% CI: 1.012-1.065, P=0.004), baseline National Institutes of Health Stroke Scale (NIHSS) score≥12 ( OR=10.157, 95% CI: 3.624-28.470, P<0.001) and high preoperative D-dimer level ( OR=4.536, 95% CI: 1.379-14.922, P=0.013) were independent predictors of FR after MT in AIS patients with LVO. ROC curve analysis indicated a good predictive value of preoperative D-dimer for the occurrence of FR ( AUC=0.733, 95% CI: 0.638-0.829, P<0.05), the optimal cut-off value of D-dimer was 2.65 μg/L(Lg), with the Youden index, sensitivity, specificity and accuracy of 0.435, 53.3%, 90.2% and 66.4%, respectively. Conclusion:High preoperative D-dimer level is an independent predictor of futile recanalization after MT in AIS patients with LVO, which shows good predictive ability for futile recanalization.

To understand Helicobacter pylori's drug resistance,genetic diversity,and relationship with clinical diseases in the Guiyang and Qiannan minority areas of Guizhou Province,we collected samples through endoscopy,and isolated and cul-tured H.pylori.The drug resistance and genotype characteristics were determined.The differences in different regions and dis-ease types were compared,and the structural characteristics of H.pylori and mixed infections with different strains of H.py-lori in Qiannan Prefecture were analyzed.A difference in the composition ratio of EPYIA typing in the cagA variable region was observed between the two areas(P=0.012),and the composition ratio of the vacA genotype differed(P=0.000).A total of 94.6％(53/56)new sequences of H.pylori strains from two regions were obtained by MLST.The rate of infection by H.pylori mixed with different strains was 44.4％in Qiannan Pre-fecture,and no significant difference was observed in the com-position of H.pylori mixed infections among patients with dif-ferent clinical diseases(P=0.349).Differences in EPI YA typ-ing and the vacA genotype composition ratio in the cagA varia-ble region of H.pylori were observed between the Qiannan Prefecture and Guiyang City.

Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.

Objective To observe the effect of remifentanil-based fast-track anesthesia on the quality of anesthesia recovery in children with congenital heart disease underwent transcatheter closure.Methods Children with congenital heart disease who underwent transcatheter closure were divided into treatment group and control group according to the anesthesia plan.The anesthesia plan of the control group was as follows:anesthesia induction(intramuscular injection of ketamine at 4 mg·kg-1,intravenous injection of propofol at 2.5 mg·kg-1,fentanyl at 10 μg·kg-1and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(fentanyl at0.4μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).The anesthesia plan of the treatment group was as follows:anesthesia induction(intramuscular injection of ketamine at 5 mg·kg-,intravenous injection of midazolam at 0.1 mg·kg-1,sufentanil at 1.0 μg·kg-1 and cisatracurium at 0.1 mg·kg-1)and anesthesia maintenance(remifentanil at 0.5 μg·kg-1·min-1 and propofol at 8 μg·kg-1·min-1).Anesthesia recovery,facial expression,leg posture,activity,crying and comfortability(FLACC)of 5 pain scores,Ramsay score,hemodynamics,myocardial injury indexes,and adverse drug reactions were compared between the two groups.Results There were 64 cases in treatment group and 56 cases in control group.The spontaneous respiration recovery time,call time and extubation time of the treatment group were(4.87±1.22),(10.16±2.58)and(12.55±3.19)min,shorter than those in control group,which were(5.49±1.35),(13.34±3.27)and(15.67±3.62)min(all P＜0.05).At 1 h and 2 h after operation,Ramsay scores of treatment group were 2.58±0.35 and 3.69±0.42,were lower than 3.02±0.47 and 4.24±0.39 in control group(all P＜0.05).At 1 h and 2 h after operation,the FLACC scores of the treatment group were 3.03±0.81 and 3.75±0.84,lower than 3.78±0.62 and 4.36±0.51 in control group(all P＜0.05).Mean arterial pressure(MAP)of treatment group at the insertion of laryngeal mask,the insertion of occluder and the end of the operation were(102.45±10.26),(94.18±8.37)and(91.46±10.15)mmHg,lower than those in control group,which were(107.84±10.11),(100.57±9.84)and(97.33±8.53)mmHg(all P＜0.05).On day 1 and day 3 after operation,serum creatine kinase isoenzyme(CK-MB)levels in the treatment group were(10.03±2.58)and(8.65±2.16)U·L-1,lower than those in control group,which were(12.44±3.07)and(10.16±2.35)U·L-1(all P＜0.05).On day 1 and day 3 after operation,serum cardiac troponin Ⅰ(cTn Ⅰ)levels in treatment group[(0.07±0.02)and(0.04±0.01)μg·L-1]were lower than those in control group[(0.09±0.03)and(0.06±0.02)μg·L-1](all P＜0.05).The incidence of adverse anesthesia reactions in treatment group was 6.25％(4 cases/64 cases),lower than 17.86％(10 cases/56 cases)in control group(P＜0.05).Conclusion Remifentanil-based fast-track anesthesia can improve the quality of anesthesia recovery in children with congenital heart disease undergoing transcatheter closure,with good sedative and analgesic effects,stable hemodynamics during operation,and low incidence of adverse drug reactions.

Objective To study the role of sphingosine-1-phosphate(S1P)signal on the proliferation of breast cancer BT549 cells.Methods Cells were divided into control group and experimental group,experimental group were treated with 0.1,1.0,10.0 μmol·L-1 S1P receptor agonist SEW2871 for 72 h.Control group was cultured with 0.1％fetal bovine serum.Cell proliferation was detected by methyl thiazolyl tetrazolium(MTT)assay.Cell models of overexpressing S1P receptors in BT549 were divided into three groups:blank plasmid group(LUC),wild type S1P receptor overexpression group(WT),S1P receptor phosphorylation site mutation overexpression group(MUT);the proliferation ratio was detected by MTT,the number of cell clones was counted by colony formation experiment.S1P antagonist W146(10 μmol·L-1)and protein kinase(AKT)signaling inhibitor MK2206(90 nmol·L-1)were used to detect the role of S1P signaling in the proliferation of breast cancer cells.The expression of phosphorylate signal transducer and activator of transcription 3(p-STAT3),c-Myc proteins were detected by Western blot.Results The growth ratio of BT549 cells in control group and 0.1,1.0,10.0 μmol·L-1experimental groups were 1.00±0.03,1.13±0.06,1.06±0.10 and 1.07±0.03,0.1 μmol·L-1 SEW2871 promot the cell proliferation(P＜0.05).Compared between WT group,MUT group and LUC group,the growth rate and the number of clonal colonies were increased after overexpression of S1P receptor(all P＜0.05).The growth ratio of BT549 cells after treatment with W146 and MK2206 in the LUC group,WT group and MUT group were 1.25±0.12,1.31±0.03,1.43±0.14 and 0.87±0.15,0.77±0.03,0.88±0.02.Compared between MUT group,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.01).The number of cell clony formation number after treatment with W146 were 65.65±5.12,141.48±5.63 and 93.64±5.14;compared between MUT,WT group and corresponding DMSO group,the differences were statistically significant(all P＜0.05).The relative protein expression levels of p-STAT3 in LUC group,WT group and MUT group were 0.67±0.04,0.69±0.08 and 0.81±0.06,the relative protein expression levels of proto-oncogene c-Myc were 1.69±0.03,0.70±0.10 and 0.67±0.07,compared between WT group,MUT group and corresponding DMSO group,the difference was statistically significant(P＜0.05).Conclusion S1P signaling can promote proliferation in breast cancer BT549 cells,and the mechanism could be related to AKT and STAT3 signaling pathway.

Objective To study the pharmacokinetics and bioequivalence of two formulations of rasagiline mesylate tablets in healthy subjects under fasting and fed conditions.Methods The two-period,two-sequence,crossover study design was adopted in the fasting study.Thirty-six subjects were enrolled and given either test preparation or reference preparation 1 mg respectively in two periods.After collecting plasma samples,the plasma concentration of rasagiline was determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS)and the bioequivalence was evaluated using the average bioequivalence(ABE)method.The four-period,two-sequence,fully replicate crossover study design was adopted in the fed study.Forty-eight subjects were enrolled and given the test preparation or the reference preparation at a dose of 1 mg twice respectively in four periods.According to the degree of intra-individual variation of Cmax,AUC0-t and AUC0-∞,the equivalence was evaluated using the reference-scaled average bioequivalence and ABE method,respectively.Results In the fasting study,the pharmacokinetic parameters of rasagiline of the test and reference preparation were as follow:Cmax were(9.70±3.14)and(9.62±3.85)ng·mL-1,AUC0-t were(6.03±1.47)and(6.02±1.95)ng·h·mL-1,AUC0-∞ were(6.13±1.51)and(6.12±1.97)ng·h·mL-1.The 90％confidence interval(CI)of the geometric mean ratio(GMR)were 94.11％-118.06％,99.22％-107.74％and 99.16％-107.44％for Cmax,AUC0-t and AUC0-∞,respectively,which were within the acceptance criteria of 80.00％-125.00％.In the fed study,the pharmacokinetic parameters of rasagiline of the test and reference preparation were as follow:Cmax were(3.00±1.92)and(3.52±1.77)ng·mL-1,AUC0_t were(5.02±1.20)and(5.06±1.20)ng·h·mL-1,AUC0-∞ were(5.11±1.23)and(5.14±1.22)ng·h·mL-1.The 90％CI of GMR were 96.99％-101.19％and 97.17％-101.41％for AUC0-t and AUC0-∞,which were within the acceptance criteria of 80.00％-125.00％.The 95％upper confidence bound of Cmax for were less than"0",and the point estimate of GMR were within the acceptance criteria of 80.00％-125.00％.The incidence of adverse events in fasting and fed studies was 22.86％and 22.92％,respectively,and all adverse events were moderate to mild.Conclusion The two rasagiline mesylate tablets were bioequivalent,and both the formulations were well tolerated.

Objective:To investigate the application of combined deep learning and radiomic features derived from enhanced arterial phase CT imaging with clinical data to differentiate between T2 and T3 staging in patients with esophageal cancer.Methods:A retrospective study was conducted using clinical and CT data from 388 patients with pathologically confirmed esophageal cancer treated at The First Affiliated Hospital of Wannan Medical College between May 2015 and April 2024.The dataset was randomly divided into a training set(271 cases)and validation set(117 cases)in a 7:3 ratio.Radiomic and deep learning features were extracted from enhanced arterial phase CT images.The least absolute shrinkage and selection operator algorithm was employed for feature reduction and selection,leading to the development of radiomic(Radscore)and deep learning(Deepscore)scores.Univariate and multivariate Logistic regression analyses were conducted to identify independent risk factors,and clinical,radiomic,deep learning,and combined models were constructed.A nomogram was gener-ated for the combined model.The diagnostic performance of the models was evaluated using the area under the receiver operating charac-teristic curve(AUC)and compared using the DeLong test.Clinical net benefit was assessed through decision curve analysis,and model calib-ration was evaluated using calibration curves.Results:Nine radiomicand 12 deep learning features were selected after dimensionality reduc-tion.Multivariate Logistic regression identified tumor length,boundary,Radscore,and Deepscore as independent risk factors for distinguish-ing between T2 and T3 staging.In the training set,the AUC of the combined model was 0.867,which was significantly higher than that of the clinical(0.774,P<0.001),radiomic(0.795,P<0.001),and deep learning(0.821,P=0.001)models.In the validation set,the AUC of the com-bined model was 0.810,which was significantly higher than that of the clinical(0.653,P=0.002),radiomic(0.719,P=0.033),and deep learn-ing(0.750,P=0.009)models.The decision curve analysis indicated that the combined model provided the highest clinical benefit in both datasets.The calibration curves demonstrated a good fit for both datasets(P=0.084,0.053).Conclusion:The integration of deep learning and radiomic features obtained from enhanced arterial phase CT images with clinical data offers a reliable method for accurately distinguishing between preoperative T2 and T3 staging in esophageal cancer,thereby supporting clinical decision-making for treatment planning.