Objective : To investigate the antidepressant effects and the underlying mechanisms of tetrahydrocurcumin(THC) and its nanoparticle formulation(THCN). Methods : Forty-six male ICR mice were randomly divided into Con group, LPS group, THC group, THCN group and SER group. A mouse depression model was established by intraperitoneal administration of LPS. The anxiety and depression-like behaviors of mice were evaluated by open field test(OFT) and forced swimming test(FST). Myelin staining was applied to assess the extent of demyelination in the prefrontal cortex of the mice. The prefrontal cortex and hippocampus were further examined for the expression levels of glial fibrillary acidic protein(GFAP) and Toll-like receptor 4(TLR4) through quantitative immunofluorescence assays. Results : Compared with the Con group, the LPS group showed increased anxiety-like and depressive-like behaviors in both the long-term and short-term experiments(P<0.05); the degree of demyelination increased in the LPS group of the long-term experiment(P<0.01); the expression of GFAP was reduced in the LPS group of the short-term experiment(P<0.01), while the expression of TLR4 increased(P<0.05); the expression of TLR4 decreased in the THC group(P<0.01); the expression of GFAP in the prefrontal cortex of the THCN group was reduced(P<0.01), while the expression of TLR4 increased(P<0.05). Compared with the LPS group, the THC group showed reduced depressive-like behaviors in the long-term experiment(P<0.05), while the anxiety-like and depressive-like behaviors of the THCN group and the SER group were reduced(P<0.05), and the anxiety-like and depressive-like behaviors of the THC group and the THCN group were reduced in the short-term experiment(P<0.05); the degree of demyelination was reduced in the THC group, THCN group and SER group in the long-term experiment(P<0.05); the expression of GFAP increased in the THC group of the short-term experiment(P<0.05), while the expression of TLR4 was reduced(P<0.05), and the expression of GFAP increased in the THCN group(P<0.05). Compared with the THC group, the THCN group and the SER group showed reduced anxiety-like behaviors in the long-term experiment(P<0.05); the expression of GFAP in the prefrontal cortex of the THCN group was reduced in the short-term experiment(P<0.05), while the expression of TLR4 in the hippocampal DG area increased in the short-term experiment(P<0.01). Conclusion Tetrahydrocurcumin and its nanoparticle formulation both exert significant ameliorative effects on depression-like behaviors and demyelination in mice induced by lipopolysaccharide. The antidepressant mechanism of THC appears to be mediated through the down-regulation of TLR4 and the up-regulation of GFAP. The mechanism underlying the antidepressant action of THCN seems predominantly focused on the enhancement of GFAP expression.

Objective: To understand the impact of left behind experience on the mental health of secondary vocational school students, so as to provide theoretical basis for the psychological health education of secondary vocational school students. Methods: From September to December in 2019, a total of 3 401 students from Duyun, Guiding and Pingtang County were selected by multi stage cluster random sampling method. Self designed questionnaire and Symptom Check List-90(SCL-90) were used to investigate mental health status. A total of 1 415 left behind students and 1 415 non left behind students were matched by using propensity score matching (PSM). Wilcoxon test and Logistic regression analysis were conducted. Results: Before the matching of propensity score, there were statistically significant differences in the distribution of family structure, mother s educational level, family residence,family harmony and children s past health among the students with or without left behind experience ( χ 2=28.17, 52.40, 96.31, 29.75 , 19.10, P <0.05). After the matching, there were no statistically significant differences in the distribution of the above variables among the students with or without left behind experience ( χ 2=0.02-4.32, P >0.05). Before the matching of propensity scores, there were significant differences in the scores of 10 dimensions of SCL-90, including somatization (1.67,1.58), interpersonal sensitivity (2.00,1.89), anxiety (1.90,1.70), obsessive compulsive symptoms (2.20, 2.10), depression (2.00, 1.85), hostility (1.83, 1.67), terror (1.85, 1.71), paranoia (1.83, 1.67), psychotic (1.70, 1.60) and other (1.85, 1.71) dimensions among secondary vocational school students with or without left behind experience ( Z=-5.15 to -2.84, P <0.05). After propensity score matching, there were significant differences in scores remained only in three factors for interpersonal sensitivity [(2.00(1.56,2.67)，2.00(1.44,2.56)], paranoia [1.83(1.33,2.50)，1.83(1.33,2.33)] and psychoticism [1.70(1.30,2.30)，1.70(1.20,2.20)] in SCL- 90 among secondary vocational students with or without left behind experience ( Z=-2.45, -2.12, -2.23, P <0.05). Conclusion The impact of left behind experience on the mental health of vocational school students is mainly reflected in interpersonal sensitivity, paranoia, and psychoticism, which should be identified as key areas of psychological education for secondary vocational school students.

Objective: To investigate the characteristics and HIV confirmed positive status among individuals attending HIV voluntary counseling and testing (VCT) clinics in Inner Mongolia Autonomous Region, so as to provide the basis for enhancing interventions targeting high-risk populations for AIDS. Methods: Demographic information, reasons for consultation, consulting institutions, and HIV antibody testing data of individuals attending VCT clinics in Inner Mongolia Autonomous Region from 2019 to 2023 were collected through the VCT database of the Chinese Center for Disease Control and Prevention. The characteristics of individuals attending VCT were described. Factors affecting HIV confirmed positive among VCT clinic attendees were analyzed using a multivariable logistic regression model. Results: A total of 249 919 individuals attended VCT clinics in Inner Mongolia Autonomous Region from 2019 to 2023, including 128 069 males (51.24%) and 121 850 females (48.76%). The majority of attendees were aged 25-<35 years, accounting for 92 445 cases (36.99%). Among them, 785 cases were confirmed as HIV positive, with a positivity rate of 0.31%. Multivariable logistic regression analysis revealed that males (OR=4.787, 95%CI: 3.562-6.434), 45-<65 years of age (45-<55 years, OR=7.723, 95%CI: 1.786-33.406; 55-<65 years, OR=7.689, 95%CI: 1.757-33.653), being unmarried (OR=2.143, 95%CI: 1.580-2.906), junior high school education or below (OR=1.147, 95%CI: 1.042-2.430), having the history of high-risk behaviors or exposure risks (commercial heterosexual behaviors, OR=2.717, 95%CI: 1.707-4.324; non-commercial non-fixed heterosexual behaviors, OR=5.421, 95%CI: 3.763-7.809; homosexual behaviors, OR=70.774, 95%CI: 48.409-103.473; having an HIV-positive spouse/fixed partner/mother, OR=100.024, 95%CI: 62.490-160.100; drug injection, OR=5.366, 95%CI: 2.213-13.014), and seeking general hospitals or traditional Chinese medicine hospitals (OR=1.973, 95%CI: 1.650-2.360) were associated with a higher risk of HIV confirmed positive. Conclusions HIV confirmed positive among individuals attending VCT clinics in Inner Mongolia Autonomous Region is associated with gender, age, marital status, educational level, reasons for consultation, and consulting institutions. It is recommended to strengthen health education and targeted interventions for high-risk populations to reduce the risk of HIV infection.

Objective　Exploring the risk factors and degree of influence on treatment regression of patients with etiologically positive pulmonary tuberculosis in Bijie city, so as to provide reference for the precise prevention and treatment of pulmonary tuberculosis epidemic. Methods　The medical records of registration, treatment and management of pulmonary tuberculosis patients in Bijie City with positive etiology from 2017 to 2022 were derived from the Tuberculosis Monitoring Report Information Management System. Statistically significant variables were screened using binary logistic regression. Revealing interdependencies between factors and conditional probabilities by constructing Bayesian network models. 　Results　A total of 21 662 cases of etiologically positive pulmonary tuberculosis were registered in Bijie City from 2017 to 2022, with etiologically positive rate of 48.60% and a successful treatment rate of 89.52%, both of which were on the rise overall (χ2trend=2 618.15, P<0.001; χ2trend=102.84, P<0.001). A multifactorial analysis showed that gender, age, ethnicity, occupation, patient origin, HIV test results, migrating population, and treatment classification were influencing factor for the successful treatment rate (P<0.05). The Bayesian network model showed that age and treatment classification were the direct factors affecting the treatment outcome, while gender, occupation and patient origin were the indirect factors. Conditional probability showed that patients<20 years of age and initial treatment had the highest rate of successful treatment (96.75%), with a 3.25% probability of having an adverse outcome; Patients≥80 years of age who were retreated had the lowest rate of successful treatment (58.70%), with a 41.30% probability of having an adverse outcome. Conducting causal effect speculation, when preventing tuberculosis in older persons aged 60 years and over, and the other patients are newly treated patients, the successful treatment rate increased from 89.50% to 93.10%, with an increase of 3.60%; Nearly 50.00% fewer farmers are without tuberculosis, and the source of the other patients is active detection (health check-ups and proactive screening), with an increase in the successful treatment rate from 89.50% to 91.70%, with a change in the conditional probability value of 2.20%. Conclusions　Consultation and management of male, elderly, re-treatment, farmer, HIV-positive pulmonary tuberculosis patients in Bijie should be strengthened. Meanwhile, causal correlation effect inference using Bayesian networks is important for precise prevention, control and treatment of diseases.

OBJECTIVE To optimize the water extraction technology for Kaixin granules. METHODS UPLC-MS/MS method was established for the simultaneous determination of ginsenoside Rg1， ginsenoside Re， ginsenoside Rb1， tenuifolin， polygalaxanthone Ⅲ and 3， 6′-disinapoyl-sucrose. An orthogonal test was designed with extraction times， extraction duration， and the volume of added water as factors. Using the contents of the aforementioned six indicator components and the extract yield as evaluation indexes， analytic hierarchy process-entropy weight method was employed to determine the combined weights of each indicator. Subsequently， process optimization and validation were conducted by integrating grey relational analysis （GRA） and back propagation （BP） neural network. RESULTS The water extraction technology optimized by the orthogonal test and GRA was 10- fold water for the first decoction and 8-fold water for the subsequent two， extracting 3 times，extracting for 1 h each time； the average comprehensive score of the validation experiment was 91.10 （RSD＝0.31%， n＝3）. The water extraction technology optimized by BP neural network was extracting 3 times with 10-fold water added each time， extracting for 1.5 h each time； the average comprehensive score of the validation experiment was 95.89 （RSD＝0.73%， n＝3）. Considering practical production requirements， the optimal water extraction technology was extraction performed three times， with 10-fold water for the first decoction and 8-fold water for the subsequent two extractions， with an extraction time of 1 h each. CONCLUSIONS The optimized water extraction technology for Kaixin granules is stable and feasible.

Objective : To investigate the therapeutic effects and underlying mechanisms of cannabidiol(CBD) and its nano-formulations on depression-like behaviors in mice. Methods : A murine model of acute anxiety and depression was established by intraperitoneal administration of lipopolysaccharide(LPS). A total of 55 mice were randomly assigned into several groups: for the long-term study, a control group(Con), a model group(LPS), a cannabidiol group(CBD), a nano-cannabidiol group(NCBD), and a sertraline(SER) group, each consisting of 7 mice. In the short-term study, mice were divided into four groups: the Con group, LPS group, CBD group, and NCBD group, with 5 mice in each group. Except for the Con group and LPS group, which were given distilled water, the remaining groups were administered 25 and 50 mg/kg of cannabidiol and its nano-formulationviaoral gavage. The open field and forced swimming tests were employed to assess anxiety-and depression-like behaviors inmice. Luxol Fast Blue myelin staining was employed to evaluate myelin sheath morphology in the prefrontal cortex, and immunofluorescence staining was utilized to quantify the protein expression levels of silencing information regulator(SIRT2), ionized calcium binding adaptor molecule-1(Iba-1), and interleukin-1β(IL-1β) in the prefrontal cortex. Results : In the long-term experiment, the LPS group exhibited a significant reduction in shuttle times(P<0.05), an increase in immobility time(P<0.01), and a decrease in the number and length of myelin sheaths(P<0.05) compared to the Con group. Compared to the LPS group, the depressive behaviors in the CBD, NCBD, and SER groups were significantly alleviated(P<0.01), and the number and length of myelin sheaths increased(P<0.05). In the short-term experiment, compared to the Con group, the LPS group exhibited significantly increased anxiety-and depression-like behaviors(P<0.05), downregulated SIRT2 expression(P<0.01), and upregulated Iba-1 and IL-1β expression(P<0.01). The CBD and NCBD groups demonstrated a reduction in anxiety and depression-like behaviors(P<0.05), an increase in SIRT2 expression(P<0.01), and a decrease in Iba-1 and IL-1β expressions(P<0.05) compared to the LPS group. Conclusion CBD and its nano-formulations effectively mitigate anxiety and depression-like behaviors in mice. The underlying mechanisms may be associated with the reversal of SIRT2 protein expression, demyelination changes, microglial activation, and the levels of inflammatory factors in the prefrontal cortex.

Objective To understand the internal quality control(IQC)situation of routine biochemical projects in Guizhou Province from 2020 to 2022,and to use the analysis batch length sigma rule to select the appropriate IQC strategy for routine biochemical projects.Methods A sum of 41,41 and 52 laboratories were selected from the laboratories participating in the first external quality assessment(EQA)program of the routine biochemical project in the Guizhou Provincial Center for Clinical Laboratory from 2020 to 2022,which uniformly used two concentration levels of internal quality control products produced by Randox Company in the UK.The coefficient of variation(CV)was calculated based on their IQC information,and then these CV values were used to compare with imprecise performance specifications such as WS/T403-2012 standards.The IQC situation of routine biochemical projects of Guizhou Province in recent years was analyzed.Randomly 15 laboratories were selected each year to report the results of the triglyceride project,and their σ values were calculated.Based on the Westgard sigma rule flowcharts of the analysis batch length,appropriate quality control strategies were selected and the quality goal index(QGI)was calculated to evaluate analytical performance of laboratory detection system.Results In the current monthly CV,the proportion of laboratories that met the WS/T403-2012 standards for Ca and TP projects was relatively low,while the pass rates for 7 projects(P,CK,LDH and other projects)were all above 80%,showing an increasing trend year by year.The proportion of laboratories with the 7 projects(P,CK,LDH and other projects)meeting the performance specifications for biomedical variation(appropriate)all reached 90%,while the proportion of laboratories with 5 projects(Na,Ca,Cl and other projects)was relatively low.The proportion of 10 projects such as P,CK,and LDH in cumulative CV of laboratories that met the performance specifications for biomedical variation(appropriate)was over 90%.For the triglyceride project,from 2020 to 2022,there were 2,5 and 13 laboratories that reached 6 σ horizontal.Compared to values of 2020 and 2021 years,the trend of σ values changes of 2022 was increasing(t=3.855,3.511,P≤0.001),indicating that the analytical performance of these laboratories was getting better and better.Conclusion The IQC levels of routine biochemical projects in Guizhou Province were increasing year by year.The Westgard sigma rule of the analysis batch length is designed with personalized quality control rules for various laboratories in Guizhou Province,thus improving laboratory testing capabilities and better severing clinics.

We report a case of a male patient who developed persistent fever and central nervous system symptoms after eating raw snails for 10 days. The patient was diagnosed with Angiostrongyliasis depended on the clinical presentation, epidemiological history, and etiological results. The patient recovered after receiving albendazole anthelmintic and dexamethasone anti-inflammatory therapy. This article incorporates literature review to sort out the diagnosis and treatment of this patient, in order to provide feasible reference for clinicians.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Gastric cancer is one of the most common malignant tumors worldwide,with its incidence and mortality rates ranking third among malignant tumors in China.Regulated cell death(RCD)is a type of cell death activated by signal transduction modules and closely connected to the progression and treatment of gastric cancer.Different types of RCD,comprising apoptosis,pyroptosis,ferroptosis,cuproptosis,and autophagy,not only aid in eliminating damaged cells,but also serve a crucial role in suppressing gastric cancer spread.This paper reviews different forms of RCD and their roles in the progression of gastric cancer,so as to provide reference for new diagnosis and treatment strategies of gastric cancer.