Objective: To investigate the association between the parent-child relationship with depression among junior high school students, as well as the dual moderating effect of teacher support and gender, so as to provide a reference for depression interventions at family, school, and individual levels. Methods: In November 2024, a cluster sampling design was used to recruit 1 229 students from two junior high schools in Chengdu, Sichuan Province as participants. The survey employed the Interpersonal Relations Scale, the Patient Health Questionnaire-9 for depression, and the Students Perceived Teacher Support Behavior Questionnaire. Spearman s rank correlation analyses were used to examine the associations among the parent-child relationship, teacher support, gender, and depression. Through linear regression analysis, the dual moderating effects of teacher support and gender on the association between parent-child relationship and depression in middle school students were evaluated. Results: Scores for the parent-child relationship and for teacher support among middle school students were (4.03±1.00) and (4.23±0.86), respectively, and the depression score was 1.13 (1.00, 1.63). Parent-child relationships and teacher support showed positive correlations,while both the parent-child relationship and teacher support were negatively correlated with depression among junior high school students ( r =0.25, -0.55, -0.29, all P <0.01). Linear regression analyses showed that teacher support and gender jointly moderated the association between the parent-child relationship and depression. Further simple slopes analyses revealed that the negative impact of the parent-child relationship on depression was stronger in girls, peaking under low teacher support conditions ( β =-0.61); among boys, a negative effect was also present but weaker ( β =-0.48) (both P <0.05). Conclusion Teacher support and gender jointly moderated the association between the parent-child relationship and depression among junior high school students; girls depression are more closely linked to the quality of the parent-child relationship, while boys are more sensitive to changes in teacher support.

Objective To evaluate the clinical efficacy of a novel sleep-aid decoction in treating elderly insomnia patients with different traditional Chinese medicine (TCM) constitutional types, and its effects on neurotransmitter and inflammatory factor levels. Methods A total of 200 patients with four different TCM constitutions-peaceful, Qi-deficient, Yin-deficient, and Yang-deficient-were recruited. Peripheral blood neurotransmitter and inflammatory factor levels were measured for variations among insomnia patients across different constitutions. These patients were treated using the novel sleep-aid decoction, the effects of which were evaluated based on changes in neurotransmitters and inflammatory factors. Results Compared to the peaceful constitution group, insomnia patients with Qi-deficient, Yin-deficient, and Yang-deficient constitutions exhibited significantly elevated baseline levels of neurotransmitters (5-HT, GABA) and inflammatory factors (IL-6, TNF-α, IL-1β, CRP). Following the treatment, the Qi-deficient and Yin-deficient groups showed a marked increase in 5-HT levels, restored balance of Glu, GABA, and melatonin, and significant reductions in IL-6 and TNF-α levels. The overall effective rate was 83.5%, with optimal efficacy observed in the Qi-deficient (97.72%) and Yin-deficient (95.34%) groups. Conclusion The novel sleep-aid decoction is effective in treating insomnia in elderly patients, with the best results observed in the Qi-deficient and Yin-deficient constitution groups.
Humans ; Sleep Initiation and Maintenance Disorders/blood* ; Aged ; Male ; Female ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Middle Aged ; Tumor Necrosis Factor-alpha/blood* ; Sleep Aids, Pharmaceutical/therapeutic use* ; Anti-Inflammatory Agents/therapeutic use* ; Interleukin-6/blood* ; Interleukin-1beta/blood* ; Neurotransmitter Agents/blood* ; Aged, 80 and over ; C-Reactive Protein/metabolism*

Objective To analyze the prescription patterns of Professor Chen Bin in treating chronic superficial gastritis(CSG)with data mining methods.Methods Prescription data from effective medical records of outpatients with CSG treated by Professor Chen Bin at the First Affiliated Hospital of Guangzhou University of Chinese Medicine from October of 2022 to April of 2023 were collected.R language,SPSS,and IBM SPSS Modeler were used to perform frequency statistics,association rule analysis,and systematic cluster analysis on the prescription data,and then the medication and prescription patterns of Professor Chen Bin in treating CSG were explored.Results A total of 64 outpatient prescriptions formulated by Professor Chen Bin were included,involving 95 Chinese herbal medicines.The top 10 frequently-used herbs were Glycyrrhizae Radix et Rhizoma Praeparata cum Melle(Zhigancao),Bupleuri Radix(Chaihu),Pinelliae Rhizoma Praeparatum(Fabanxia),Jujubae Fructus(Dazao),Zingiberis Rhizoma(Ganjiang),Codonopsis Radix(Dangshen),Scutellariae Radix(Huangqin),Paederiae Herba(Jishiteng),Citri Reticulatae Pericarpium(Chenpi),and Taraxaci Herba(Pugongying).Most of the herbs were warm,cold,and mild in nature,and were sweet in flavor.And the herbs mainly had the meridian tropism of spleen,stomach,and liver meridians,and had the primary therapeutic effects of strengthening the spleen and replenishing qi,regulating qi,and resolving dampness.Based on the results of association rule analysis,a total of 21 core herb combinations were screened out,and cluster analysis yielded 4 clustered prescriptions.Combining the results of high-frequency herb statistics and cluster analysis and based on the traditional Chinese medicine theory,the core herbs for treating CSG was identified as Zhigancao,Chaihu,Fabanxia,Dazao,Ganjiang,Dangshen,Huangqin,Jishiteng,Chenpi,and Pugongying.Conclusion In treating CSG,Professor Chen Bin adheres to the treatment principle of replenishing qi and regulating the pivot,and the therapeutic methods of regulating qi movement,strengthening the spleen and harmonizing the stomach are applied with Xiaochaihu Decoction as the fundamental prescriptions.His view of treatment by focusing on the spleen and stomach,emphasizing the combination of herbs with cold and warm properties and based on syndrome differentiation will provide a reference for the clinical application of traditional Chinese medicine in treating CSG.

Objective To analyze the medication law of Professor Yuan Jinsheng,a renowned TCM practitioner in China,for treating palpitations through data mining methods.Methods Clinical prescriptions for treating palpitations by Professor Yuan Jinsheng from January 2016 to May 2023 were collected.The prescriptions were screened based on inclusion and exclusion criteria,a prescription compatibility network was constructed based on R Studio 4.3.1,and the medication law of prescriptions was analyzed.Results Totally 331 prescriptions were screened,involving 180 types of Chinese materia medica,with a total frequency of 3 625.The most frequently used drugs(≥30 times)were mainly tonics.The main properties were warm and neutral,the main tastes were sweet,bitter,and pungent,which belonged to heart,spleen and lung meridians.The top 5 drugs with high correlation were tonifying,blood circulation-activating and stasis-resolving,qi-regulating,and heat-clearing.Correlation analysis reveals high-frequency drugs,which were mainly Glycyrrhizae Radix et Rhizoma Praeparata cum Melle,Rehmannine Radix,Ophiopogonis Radix,Astragali Radix and Codonopsis Radix.The clustering analysis results showed that the efficacy was mainly tonifying deficiency,regulating qi,activating blood circulation,and resolving stasis.Conclusion Professor Yuan Jinsheng's prescription compatibility for treating palpitations primarily focuses on tonics,qi-regulating,and blood circulation-activating and stasis-resolving herbs,embodying the principles of treating palpitations from the perspective of the heart and spleen and the combined use of multiple organs.

Objective:To construct a mouse asthma model induced by mugwort pollen and to explore endotyping,providing methods for subsequent precision treatment.Methods:BALB/c mice were intraperitoneally injected with mugwort pollen extract(MPE)to sensitize,following MPE intranasal challenge to construct MPE allergic asthma murine model.Mice were randomly divided into PBS sensitization and PBS challenge(P-P),MPE sensitization and PBS challenge(M-P),MPE sensitization and MPE challenge model(M-M)groups.24 h after final challenge,mice were performed to examine airway responsiveness;bronchoalveolar lavage fluid(BALF)was harvested for cell counting and statistical classification of inflammatory cells through flow cytometry analysis.Pulmonary slides were collected for pathological examination,including HE,PAS,Masson and α-SMA immunohistochemical staining.ELISA was used to detect levels of IFN-γ,IL-4,IL-5,IL-13,IL-17A in lung tissue and serum,as well as serum total IgE and MPE-specific IgE,IgG1,IgG2a levels.Results:Pathological examination showed higher airway reactivity,more inflammatory cells infiltration around airway,obvious goblet metaplasia,thickening of airway smooth muscles and dramatical fibrin deposition around airway in model group.Total cell numbers of BALF were increased from<1×105 cells/ml in P-P group to>5×105 cells/ml in model group,in which eosinophils were predominant cellular type,levels of IL-4,IL-13,IL-17A in lung and IL-5,IL-13 levels in serum were significantly increased,as well as significant increasing levels of total IgE and MPE-specific IgE,IgG1,IgG2a.Conclusion:MPE-sensitized and challenged mice induces typical eosinophilic asthma featured with elevated eosinophils,as well as secretion of inflammatory factors of type 2 and type 17,IgE,IgG1 and IgG2a subtypes soars to high levels.

Objective To construct a machine learning prediction model for postoperative liver injury in patients with non-liver surgery based on preoperative and intraoperative medication indicators.Methods A case-control study was conducted on 315 patients with liver injury after non-liver surgery selected from the databases developed by 3 large general hospitals from January 2014 to September 2022.With the positive/negative ratio of 1 ∶3,928 cases in corresponding period with non-liver surgery and without liver injury were randomly matched as negative control cases.These 1243 patients were randomly divided into the modeling group(n=869)and the validation group(n=374)in a ratio of 7∶3 using the R language setting code.Preoperative clinical indicators(basic information,medical history,relevant scale score,surgical information and results of laboratory tests)and intraoperative medication were used to construct the prediction model for liver injury after non-liver surgery based on 4 machine learning algorithms,k-nearest neighbor(KNN),support vector machine linear(SVM),logic regression(LR)and extreme gradient boosting(XGBoost).In the validation group,receiver operating characteristic(ROC)curve,precision-recall curve(P-R),decision curve analysis(DCA)curve,Kappa value,sensitivity,specificity,Brier score,and F1 score were applied to evaluate the efficacy of model.Results The model established by 4 machine learning algorithms to predict postoperative liver injury after non-liver surgery was optimal using the XGBoost algorithm.The area under the receiver operating characteristic curve(AUROC)was 0.916(95%CI:0.883～0.949),area under the precision-recall curve(AUPRC)was 0.841,Brier score was 0.097,and sensitivity and specificity was 78.95%and 87.10%,respectively.Conclusion The postoperative liver injury prediction model for non-liver surgery based on the XGBoost algorithm has effective prediction for the occurrence of postoperative liver injury.

This report describes a case of maturity-onset diabetes of the young(MODY)type 3(MODY3)complicated with type 5(MODY5),including the patient's clinical features,diagnosis,and treatment,and reviews relevant literature.Using next-generation sequencing of MODY(types 1-14)gene exons and Sanger sequencing for verification,the patient and her mother were assessed.Based on the clinical phenotype and genetic test results,the patient was diagnosed as MODY3 combined with MODY5.Treatment included insulin and linagliptin,with monitoring of blood glucose changes.Clinicians should enhance their understanding of MODY clinical phenotypes.In adolescents with diabetes who have congenital pancreatic and renal developmental defects,elevated high-density lipoprotein cholesterol,no spontaneous ketosis,insulin secretion defects,negative pancreatic autoantibodies,no significant insulin resistance,and who are not obese,gene testing should be conducted to screen for MODY.Accurate diagnosis and personalized treatment can aid in achieving glycemic control,improving quality of life,and optimizing reproductive planning.

Objective:To construct Lactococcus lactis (LL) based EmⅡ/3 vaccine of Echinococcus multilocularis and observe its expression efficiency. Methods:EmⅡ/3 gene was obtained through PCR amplification using the pCD-EmⅡ/3 as a template, the gene was cloned into pMG36e to construct pMG36e-EmⅡ/3 and transformed into Escherichia coli BL21 (DE3) competent cell, the recombinant plasmid was identified by double restriction endonuclease digestion, then was electroporated into LL MG1363 to construct recombinant (r) LL-EmⅡ/3 vaccine. After screening for roxithromycin resistance, the plasmid was extracted for PCR identification, and the expression was identified by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and Western blot. Results:The pMG36e-EmⅡ/3 recombinant plasmid was identified by double restriction endonuclease digestion, and there was an approximately 3 600 bp carrier band and a 1 759 bp EmⅡ/3 gene band. The plasmid extracted from roxithromycin resistant rLL strain was used as a template, and 1 759 bp EmⅡ/3 gene was amplified by PCR; SDS-PAGE demonstrated that the rLL-EmⅡ/3 vaccine could express EmⅡ/3 protein with a relative molecular weight of 66 × 10 3, and the expressed protein accounted for about 20% of the total bacteria protein after 3 days of culture; Western blot showed that the expressed protein could be recognized by mouse serum infected with alveolar hydatid cyst. Conclusion:We have successfully constructed the rLL-EmⅡ/3 vaccine of Echinococcus multilocularis, which expresses Em Ⅱ/3 protein with specific antigenicity.

Objective To explore the efficacy and safety of dabigatran etexilate in the treatment of elderly patients with non-valvular atrial fibrillation (NVAF), so as to provide reference for clinical treatment and rational drug use. Methods Eighty elderly patients with NVAF in The Seventh People's Hospital of Shanghai from December 2020 to June 2021, aged 65 to 80 years, were enrolled in a self-controlled study. Dabigatran etexilate 110 mg was given orally, twice a day (one in the morning and one in the evening) for 6 months. During the follow-up visit, the coagulation function indexes including APTT, TT, FIB and D-D were observed in patients taking medicine for 1 month and 6 months. Liver function indexes including ALT, AST and TBIL, renal function indicators including UREA and eGFR, and blood routine indexes including HGB and ESR, also were observed in patients taking medicine for 1 month and 6 months. Results Patients were compared at 1 month and 6 months after treatment with dabigatran and before: the difference of coagulation function indexes as APTT and TT was statistically significant (P<0.05);There was no significant difference in liver function index, renal function index and blood routine index (P>0.05); A total of 25 adverse events occurred, and the incidence rate of adverse reactions was 31.25%, there was no adverse events such as serious hemorrhage，life threatening and organ failure hemorrhage occurred．Conclusion Dabigatran has good efficacy and safety in the treatment of the elderly NVAF.

Objective:To construct a recombinant vaccine of Schistosoma japonicum (Sj) mediated by Enterococcus faecalis (Efs, rEfs-Sj26GST vaccine), and to study the expression of Sj26GST-GST fusion protein in the recombinant vaccine. Methods:The recombinant plasmid pGEX-Sj26GST was transformed into the susceptible strain Efs ATCC47077 by electroporation to construct rEfs-Sj26GST vaccine, and the plasmid was extracted for PCR identification. After induction of expression with isopropyl-beta-D-thiogalactopyranoside (IPTG), the products were analyzed and identified by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and Western blot.Results:After PCR identification, a 676 bp fragment was amplified, which was consistent with the length of Sj26GST amplification fragment. SDS-PAGE analysis showed that the relative molecular mass was 52 × 10 3, which was consistent with the band of Sj26GST-GST fusion protein. Western blot results showed that the Sj26GST-GST fusion protein expressed by rEfs-Sj26GST vaccine could be specifically recognized by the serum of Sj infected patients. Conclusion:The rEfs-Sj26GST vaccine is successfully constructed, and the Sj26GST-GST fusion protein expressed by recombinant vaccine can be specifically recognized by the serum of Sj infected patients.