ObjectiveTo investigate the therapeutic efficacy， influencing factors， and safety of a treatment regimen based on coblopasvir hydrochloride capsules/sofosbuvir tablets in patients with chronic hepatitis C virus （HCV） infection in a real-world setting. MethodsA total of 253 patients who attended The Third People’s Hospital of Kunming from September 1， 2021 to May 31， 2024 were enrolled， among whom there were 86 patients with compensated liver cirrhosis （CLC group） and 167 patients with chronic hepatitis C （CHC group）. The patients were treated with coblopasvir hydrochloride capsules （60 mg）/sofosbuvir tablets （400 mg） with or without ribavirin tablets for 12 weeks， and they were followed up for 12 weeks after drug withdrawal. The primary outcome measures were the rate of sustained virologic response at week 12 after treatment （SVR12） and safety， and the secondary outcome measures were the changes in liver function， renal function， blood routine， and liver stiffness measurements （LSM） after 4 weeks of treatment， after 12 weeks of treatment， and at 12 weeks after drug withdrawal. The independent-samples t test and the Mann-Whitney U test were used for comparison of continuous data between two groups， and the Friedman test was used for comparison between multiple groups， while the Bonferroni method was used for paired comparison within each group； the chi-square test was used for comparison of categorical data between two groups. The Logistic analysis was used to investigate related influencing factors. ResultsThe 253 patients with chronic HCV infection had a mean age of 49.38±8.65 years， and there were 151 male patients （59.7%）. Of all patients， 33.99% （86/253） had liver cirrhosis， 25.69% （65/253） had hypertension， 10.67% （27/253） had HIV infection， 8.70% （22/253） had diabetes， 3.95% （10/253） had liver cancer， 1.98% （5/253） had chronic hepatitis B， and 7.91% （20/253） were treatment-experienced patients. As for genotype distribution， 2.77% （7/253） had genotype 1， 12.65% （32/253） had genotype 2， 66.01% （167/253） had genotype 3， 16.60% （42/253） had genotype 6， and 1.98% （5/253） had unknown genotype. The patients had an overall SVR12 rate of 92.09%， with an SVR12 rate of 93.02% in the CLC group and 91.02% in the CHC group. The multivariate logistic regression analysis showed that age （odds ratio ［OR］=1.086， 95% confidence interval ［CI］： 1.007 — 1.170， P=0.032） and HCC （OR=9.178， 95%CI： 1.722 — 48.912， P=0.009） were independent influencing factors for sustained virologic response. Compared with baseline data， the CLC group had significant reductions in alanine aminotransferase （ALT） （χ²=107.103， P0.05）， aspartate aminotransferase （AST） （χ²=90.602， P0.05）， and LSM （χ²=42.235， P0.05） after 12 weeks of treatment， while the CHC group had significant reductions in total bilirubin （χ²=15.113， P0.05）， ALT （χ²=202.237， P0.05）， AST （χ²=161.193， P0.05）， and LSM （χ²=37.606， P0.05）. The incidence rate of serious adverse events was 1.58%， and none of the patients withdrew from drug therapy； the patients with such events were relieved after active symptomatic treatment. The incidence rate of all adverse events was 23.72%， among which fatigue （17.39%） and nausea （2.37%） were the most common adverse events， and these events often disappeared within 2 weeks or were gradually relieved after symptomatic treatment. ConclusionCoblopasvir hydrochloride capsules/sofosbuvir tablets with or without ribavirin tablets has good efficacy and safety in the treatment of chronic HCV infection.

Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
Prefrontal Cortex/physiology* ; Humans ; Emotions/physiology* ; Cognition/physiology* ; Gyrus Cinguli/physiology* ; Computer Simulation ; Models, Neurological ; Neural Pathways/physiology* ; Nerve Net/physiology*

Bacillus is a class of spore-producing Gram-positive bacteria that produce a variety of antimicrobial substances with different structures and functions. The application of the antimicrobial substances produced by Bacillus can effectively inhibit the activity of harmful bacteria and fungi and promote the sustainable development of green agriculture. The antimicrobial substances produced by Bacillus mainly include proteins, lipopeptides, polyketones, and polypeptides. This paper reviews the synthesis gene clusters, synthesis pathways, structures, and mechanisms of various antimicrobial substances produced by Bacillus and discusses the challenges in the industrial application of these antimicrobial substances. Furthermore, this paper clarifies the future research and development focuses and prospects the application prospects, and provides comprehensive theoretical support for the in-depth research and wide application of the antimicrobial substances produced by Bacillus.
Bacillus/genetics* ; Anti-Infective Agents/metabolism* ; Bacterial Proteins/genetics* ; Antimicrobial Peptides/biosynthesis* ; Lipopeptides/biosynthesis*

Objective To investigate the association of urinary phthalate metabolites with 4 high-density lipoprotein-cholesterol(HDL-C)-related inflammatory indicators[lymphocyte/HDL-C ratio(LHR),monocyte/HDL-C ratio(MHR),neutrophil/HDL-C ratio(NHR),and platelet/HDL-C ratio(PHR)],and to explain their possible biological mechanisms.Methods The 4 573 adult participants from the National Health and Nutrition Examination Survey(NHANES)were subjected,and then generalized linear regression(GLM),restricted cubic spline(RCS),and weighted quantile sum(WQS)regressions were performed to explore the potential associations of phthalates mono-exposures and mixed exposures,respectively,with the HDL-C-related inflammation metrics.Results Nine urinary phthalate metabolites were significantly positively associated with at least 1 inflammatory marker,while 1 metabolite(MEP)showed a negative association with an inflammatory indicator(LHR).Some exposure metabolites showed a nonlinear association with outcome inflammatory indicators.WQS regression revealed varying weight contributions of individual metabolite to each inflammatory outcome.Subgroup analyses indicated differential association effects of phthalates with HDL-C-related inflammatory metrics across gender,age,and BMI populations.Conclusion There are associations between phthalate exposure and HDL-C-related inflammation indicators,but further studies are needed to reveal the underlying mechanisms.

Objective To evaluate the clinical efficacy of Shengyang Juxian Acupuncture Method(mainly with the function of elevating yang to cure prolapse syndrome)combined with neuromuscular electrical stimulation(NMES)in treating postpartum diastasis recti abdominis(DRA).Methods A total of 200 patients diagnosed with postpartum DRA at Tangshan Maternal and Child Health Hospital from March 2022 to December 2022 were enrolled and randomly divided into an observation group and a control group using a number list,with 100 cases in each group.The control group received NMES therapy,while the observation group underwent additional Shengyang Juxian Acupuncture Method for 1 month.Clinical efficacy was assessed by comparing inter-recti distance(IRD),abdominal circumference,pelvic floor muscle strength(type Ⅰ and Ⅱ muscle fibers).The Visual Analogue Scale(VAS)scores for low back pain,and 36-Item Short Form Health Survey(SF-36)scores were compared before and after treatment.Results(1)After treatment,both groups showed significant improvements in IRD and abdominal circumference(P＜0.05),with superior outcomes in the observation group,the difference being statistically significant(P＜0.05).(2)Pelvic floor muscle strength of type Ⅰ and Ⅱ fibers markedly improved in both groups,with greater enhancement in the observation group,the difference being statistically significant(P＜0.05).(3)VAS and SF-36 scores significantly improved in both groups(P＜0.05),yet the observation group demonstrated more pronounced improvements,the difference being statistically significant(P＜0.05).(4)The total effective rate was 96.00%(96/100)in the observation group versus 80.00%(80/100)in the control group,with superior outcomes in the observation group,the difference being statistically significant(P＜0.05).Conclusion Shengyang Juxian Acupuncture Method combined with NMES effectively promotes rectus abdominis recovery,enhances pelvic floor muscle strength,alleviates low back pain,and improves quality of life in postpartum DRA patients,demonstrating significant clinical efficacy.

From the perspective of human development history， epidemic diseases have been accompanied by human life and reproduction， causing serious threats to human health and life safety. Epidemic diseases have a rapid onset and are highly infectious， once they occur， can quickly spread to the people around them， causing many people to be infected in a short time. Pulmonary system epidemic disease is the kind of disease with the highest incidence， prevalence， and infectivity among epidemic diseases， which will also have an impact on the economic and social development and even the historical process. Overview of ancient Chinese literature， the wisdom of ancient doctors has certain reference value for possible related work today or in the future. Starting from sorting out the classical theories recorded in the ancient books of traditional Chinese medicine， this paper dug deeply into them and re⁃understood them， with a view to providing a reference for clinical diagnosis and treatment， and public health services.

Objective To investigate the clinical efficacy and safety of endoscopic resection using snares for the treatment of gastric submucosal tumors(SMTs).Methods 66 patients diagnosed with gastric SMTs and treated with endoscopic resection from August 2017 to August 2023 were retrospectively analyzed and divided into the snare group(endoscopic resection using snares,n=33)and the traditional resection group(endoscopic resection using a traditional disposable incision knife,n=33).The operation time,overall resection rate,incidence of adverse reactions,operation cost,hospitalisation cost,and the post-operative hospital days were compared between the two groups.Results The lesion diameter was 8.00(6.00,14.00)mm in the snare group and 8.00(7.50,10.00)mm in the traditional resection group,the difference between the two groups was not statistically significant(P>0.05);The operative time in the snare group was significantly shorter than that in the traditional resection group[26.00(19.00,30.50)min vs 33.00(22.50,49.50)min],the difference was statistically significant(P<0.05);The overall resection rate in both groups was 100.0%;Neither group of patients had intraoperative perforation.There were no statistically significant differences in the incidence of adverse reactions such as intraoperative bleeding,abdominal pain and fever between the two group(P>0.05);The operative cost of the snare group was significantly lower than the traditional endoscopic resection group[(8 642.18±1 078.56)yuan vs(13 266.45±2 160.80)yuan],the difference was statistically significant(P<0.05).Conclusion Compared with traditional surgical instruments,endoscopic resection of gastric SMTs using snares has a shorter operating time,lower surgical costs,safe and effective,making it worthy of promotion.

Objective: To investigate the relationships among psychological resilience, parental control, and behavioral problems in middle school students, aiming to provide evidencebased recommendations for the prevention and intervention of behavioral issues in middle school students, as well as for the development of related policies. Methods: A stratified cluster sampling method was used to select 2 745 participants from three cities in Guizhou Province with different levels of economic development from August to December 2021. The Child Behavior Checklist (CBCL), Parental Control Questionnaire, and Psychological Resilience Questionnaire were administered to junior high school students and their parents. A network analysis method was employed to construct a network analysis model of factors influencing behavioral problems. Results: The detection rate of behavioral problems among junior high school students in Guizhou Province was 22.62%. The scores for psychological resilience (goal focus, emotional control, positive cognition, family support, and interpersonal assistance) and proactive inquiry in behavior control were higher in the group without behavioral problems than in the group with behavioral problems. Scores for psychological control (inducing guilt, with drawing affection, and asserting authority) were higher in the group with behavioral problems than in the group without behavioral problems, with statistically significant differences (t=9.80, 17.76, 6.21, 12.20, 13.18, 6.28, 11.58, 11.10, 10.74, P<0.05). The network model showed that among the same variable factors, the strongest connection weight was between inducing guilt and withdrawing affection, with a weight of 0.79. Between different variables, there were negative correlation between behavioral problems and psychological resilience (goal focus, emotional control, positive cognition, family support, interpersonal assistance) and behavior control (proactive inquiry, behavioral restraint) with correlation coefficients (r=-0.25, -0.42, -0.16, -0.31, -0.33, -0.17, -0.03, P<0.05), respectively. There were positive correlation between psychological control factors (inducing guilt, withdrawing affection, and asserting authority) and behavioral problems (r=0.29, 0.27, 0.27), and a negative correlation between these psychological control factors and psychological resilience factors (goal focus, emotional control, positive cognition, family support, interpersonal assistance)(r=-0.53--0.13)(P<0.05). The strongest connection weight was between withdrawing affection and family support, with a connection weight of -0.53. Family support was an important bridge symptom connecting the entire behavioral problem network model, with a high centrality. Conclusions The detection rate of behavioral problems among junior high school students in Guizhou Province is relatively high. Assisting adolescents in establishing a supportive family environment facilitates the cultivation of their psychological resilience, thereby mitigating the occurrence of behavioral problems.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Objective To explore the regulatory role of hederagenin(HG)on glutamate(Glu)-in-duced ferroptosis and corresponding inflammatory responses in mouse hippocampal neuron HT22 cells and investigate its potential mechanisms.Methods HT22 cells were randomly divided into control,Glu and HG groups(n=3).The cells of the control group received no treatment,the cells of the Glu group were treated with 35 mmol/L Glu for 24 h to establish a cellular model of ferroptosis in Alzheimer's disease,and the cells of the HG group were treated with 0.5 μmol/L HG and 35 mmol/L Glu for 24 h simultaneously.FerroOrange fluorescent probe was used to de-tect intracellular Fe2+.The production of reactive oxygen species(ROS),mitochondrial membrane potential,and levels of inflammatory factors TNF-α,IL-1β and IL-6 in the cells were assessed.Finally,the expression of the key regulator of iron death,glutathione peroxidase 4(GPX4)was measured.Results Compared to the control group,the levels of intracellular Fe2+,ROS,TNF-α,IL-1β,and IL-6 were significantly elevated,while the mitochondrial membrane potential was obvi-ously reduced in the Glu group(P＜0.05,P＜0.01).The HG group had significantly decreased Fe2+,ROS,TNF-α,IL-1β,and IL-6 and enhanced mitochondrial membrane potential than the Glu group(P＜0.05,P＜0.01).The GPX4 expression was significantly lower in the Glu group than the control group(1.00±0.02 vs 0.46±0.04,P＜0.01),and was notably higher in the 0.5 and 1.0 μmol/L HG groups when compared to the Glu group(0.64±0.03 and 0.59±0.05 vs 0.46±0.04,P＜0.01).Conclusion HG inhibits ferroptosis by regulating GPX4 expression,and thereby effec-tively alleviates the inflammatory response.