Objective Exploring genetic differences among geographic strains of Anopheles sinensis in China. Methods Based on the mitochondrial cytochrome oxidase subunit I(COⅠ )and ribosomal the second internal transcribed spacer(ITS2), genetic distance analyses were conducted on An. sinensis samples collected nationwide. Results Genetic differentiation was observed within An. sinensis geographic strains, primarily reflected in the genetic distances of COⅠ sequences, with some distances between samples exceeding those between closely related species. However, ITS2 sequences showed relatively low levels of differentiation within geographic strains. No significant separation was observed, and gene exchange exhibited a random pattern among geographic strains. Conclusions Significant differences in genetic distance were observed among An. sinensis samples, along with evidence of interspecific continuity among sibling species. For the identification of closely related species using wild-collected Anopheles mosquitoes samples, reliance solely on commonly used barcodes such as COⅠ and ITS2 may be insufficient. Additional molecular markers, including COⅡ and D3 gene fragments, should also be considered. Caution should be exercised when using COⅠ genes to identify cryptic species, especially within Anopheles mosquitoes.

Background: s/Aims: The critical view of safety (CVS) prevents bile duct injury, but severe inflammation hinders its achievement.This study evaluated the parkland grading scale (PGS) as a real-time intraoperative predictor of CVS attainment in a Southeast Asian population, establishing standardized clinical data for future artificial intelligence applications. Methods: This prospective observational study (January–June 2025) included 88 consecutive patients undergoing laparoscopic cholecystectomy by a single surgeon. PGS was assessed upon initial laparoscopic inspection. We analyzed correlations between PGS, CVS attainment (Strasberg’s criteria), operative time, and bail-out procedures using Spearman’s correlation and multivariate logistic regression. Results: Severe inflammation (PGS grade 4–5) was observed in 31.8% of patients. PGS exhibited a strong negative correlation with CVS score (p = −0.652; p < 0.001) and strong positive correlations with operative time and blood loss. A PGS threshold of 4 accurately predicted CVS failure (area under the curve = 0.863). Bail-out procedures were necessary in 11 cases (12.5%), all occurring in the PGS ≥ 4 group. Advanced age and diabetes mellitus were independent risk factors for CVS failure. Conclusions The PGS serves as a precise intraoperative early warning system. A score ≥ 4 indicates a significant risk of CVS failure, prompting safer bail-out strategies. Additionally, this study provides a standardized dataset vital for training future autonomous surgical risk assessment models.

Objective:To investigate the efficacy of enteral nutrition combined with trocar puncture with a sump drain in the treatment of Crohn's disease(CD)complicated by intra-abdominal abscess.Methods:A descriptive case series study was conducted.Clinical data of CD patients with intra-abdominal abscess who received enteral nutrition and trocar puncture with a sump drain at the Intestinal Fistula and Intra-abdominal Infection Center of Nanjing BenQ Hospital between June 2018 and December 2022 were retrospectively collected.Laboratory parameters,including white blood cell(WBC)count,C-reactive protein(CRP),and procalcitonin(PCT),were recorded at baseline(pre-puncture)and on days 1,3,and 7 post-puncture.Changes in clinical indicators before and after intervention were compared.Results:All 19 CD patients with intra-abdominal abscess successfully underwent CT-guided trocar puncture with a sump drain,with fistulography confirming the presence of intestinal fistula.No post-procedural complications,including puncture site infection,new-onset intestinal fistula or intra-abdominal hemorrhage,were observed.The median treatment duration was 58.3 days(range:14～300 days).10 patients achieved spontaneous healing while 9 eventually underwent surgical intervention for unresolved fistulas.Post-puncture WBC levels decreased significantly on days 1,3,and 7 compared to baseline(P<0.05).Serum CRP levels increased markedly on day 1 post-puncture(P<0.05)but declined significantly by days 3 and 7(P<0.05).No statistically significant difference was observed in serum procalcitonin levels before and after puncture(P>0.05).Conclusion:The combination of enteral nutrition and trocar puncture with a sump drain is safe,feasible,and effective for managing CD complicated by intra-abdominal abscess.

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

ObjectiveMagnetoencephalography (MEG), a non-invasive neuroimaging technique, meticulously captures the magnetic fields emanating from brain electrical activity. Compared with MEG based on superconducting quantum interference devices (SQUID), MEG based on optically pump magnetometer (OPM) has the advantages of higher sensitivity, better spatial resolution and lower cost. However, most of the current studies are clinical studies, and there is a lack of animal studies on MEG based on OPM technology. Pain, a multifaceted sensory and emotional phenomenon, induces intricate alterations in brain activity, exhibiting notable sex differences. Despite clinical revelations of pain-related neuronal activity through MEG, specific properties remain elusive, and comprehensive laboratory studies on pain-associated brain activity alterations are lacking. The aim of this study was to investigate the effects of inflammatory pain (induced by Complete Freund’s Adjuvant (CFA)) on brain activity in a rat model using the MEG technique, to analysis changes in brain activity during pain perception, and to explore sex differences in pain-related MEG signaling. MethodsThis study utilized adult male and female Sprague-Dawley rats. Inflammatory pain was induced via intraplantar injection of CFA (100 μl, 50% in saline) in the left hind paw, with control groups receiving saline. Pain behavior was assessed using von Frey filaments at baseline and 1 h post-injection. For MEG recording, anesthetized rats had an OPM positioned on their head within a magnetic shield, undergoing two 15-minute sessions: a 5-minute baseline followed by a 10-minute mechanical stimulation phase. Data analysis included artifact removal and time-frequency analysis of spontaneous brain activity using accumulated spectrograms, generating spectrograms focused on the 4-30 Hz frequency range. ResultsMEG recordings in anesthetized rats during resting states and hind paw mechanical stimulation were compared, before and after saline/CFA injections. Mechanical stimulation elevated alpha activity in both male and female rats pre- and post-saline/CFA injections. Saline/CFA injections augmented average power in both sexes compared to pre-injection states. Remarkably, female rats exhibited higher average spectral power 1 h after CFA injection than after saline injection during resting states. Furthermore, despite comparable pain thresholds measured by classical pain behavioral tests post-CFA treatment, female rats displayed higher average power than males in the resting state after CFA injection. ConclusionThese results imply an enhanced perception of inflammatory pain in female rats compared to their male counterparts. Our study exhibits sex differences in alpha activities following CFA injection, highlighting heightened brain alpha activity in female rats during acute inflammatory pain in the resting state. Our study provides a method for OPM-based MEG recordings to be used to study brain activity in anaesthetized animals. In addition, the findings of this study contribute to a deeper understanding of pain-related neural activity and pain sex differences.

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.