Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.

Objective:To investigate the effects of TP53 genetic status(wild-type/mutated/null)on the drug resistance of decitabine(DAC)in myelodysplastic syndromes(MDS)and identify key resistance-associated genes.Methods:Two myeloid cell lines with distinct TP53 status(M-07e:wild-type;SKM-1:mutated;)were treated with gradient DAC concentrations(0-10 μmol/L)for 0-72 h.Cell viability was detected by CCK-8 assay.RNA-Seq transcriptomics,and methylation profiling were integrated to analyze differentially expressed genes.Results:Decitabine(DAC)treatment induced time-and dose-dependent inhibition of cell viability in CCK-8 assays,with SKM-1 cells exhibiting the highest resistance(IC50=5 μmol/L vs M-07e=0.5 μmol/L,P＜0.01).Transcriptomic analysis revealed 662 upregulated and 452 downregulated genes in DAC-treated M-07e cells,while SKM-1 cells showed 515 upregulated and 73 downregulated genes.By proteomic profiling,117 upregulated and 136 downregulated proteins were identified in M-07e cells,while 91 upregulated and 46 downregulated proteins were identified in SKM-1 cells following DAC exposure.Through integrated analysis of upregulated genes and proteins expression profiles,181 candidate genes were screened out,while methylation studies identified 884 hypomethylated genes with high-sensitivity loci and CpG density.Notably,31 genes overlapped between these datasets,and functional annotation indicated these drug-resistance-associated genes are primarily involved in positive regulation of cell differentiation,negative regulation of binding processes,and negative regulation of cellular component organization.Conclusion:TP53 mutations drive DAC resistance via epigenetic reprogramming.Targeting these genes may improve outcomes in TP53-mutated MDS.

Objective:To investigate the neural regulatory mechanism of parvalbumin-positive interneurons(PV-INs)in the dentate gyrus(DG)involved in the impairment of spatial recognition memory by exercise-induced chronic fatigue.Methods:Male Sprague-Dawley(SD)rats were divided into control group and fatigue group by random num-ber method.A three-level incremental load treadmill training program was selected to establish a chronic exhaustion exercise fatigue model.The spatial recognition memory ability of rats was tested by novel object recognition test.The ac-tivation levels and quantitative changes of astrocytes(AS)and PV-INs in the DG region was observed and quantified through immunofluorescence staining and immunohistochemical staining.The phosphorylation level of calcium/calmodu-lin-dependent protein kinase Ⅱ(CaMK Ⅱ)in the hippocampus was detected by Western blot.Results:In the test of novel object recognition,the exploration time of novel object was reduced in the fatigue group,and the discrimination index was significantly lower than that in the control group(P＜0.01).Immunohistochemical staining showed that PV-INs in the DG region of fatigue rats were lighter and fewer than those in the control group,the fibers were short and sparse,and the positive cell density and average optical density of cells were significantly lower than those in the control group(P＜0.01).Immunofluorescence staining showed that AS was significantly activated,glial fibrillary acidic pro-tein(GFAP)was stained deeply,and the cell processes were dense and elongated in the DG region of fatigue rats.The positive cell density and mean fluorescence intensity were significantly higher than those of the control group(P＜0.01).The results of Western blot showed that the phosphorylation level of CaMK Ⅱ protein in the hippocampus of the fatigue group was significantly reduced than that of the control group(P＜0.01).Conclusion:Exercise-induced chro-nic fatigue inhibited PV-INs in the rat hippocampal DG region.The excessive activation of AS following exercise fatigue may be a major contributor to this PV-INs suppression.Concurrently,reduced phosphorylation levels of CaMK Ⅱ protein were observed in hippocampal tissue.These alterations ultimately impaired spatial recognition memory in the rats.

To perform the phylogenetic characterization of an isolated porcine rotavirus(PoRV)and investigate its pathogenicity in suckling mice and piglets.A G4P[23]genotype PoRV strain JSJR2023 was successfully isolated from the diarrheic piglet feces through propagation in MA104 cells.The viral proliferation kinetics were analyzed using TCID50 assays,followed by complete genome sequencing through Sanger sequencing platforms.Comprehensive genotyping and phylogenetic reconstruction were conducted using MEGA7.0 with maximum likelihood algorithms.Pathogenicity was assessed in the following animal models:5-day-old C57BL/6 mice and 3-day-old piglets.Multidimensional evaluation included clinical monitoring(diarrhea scoring,growth parameters),virological detection,and histopathological analysis of intestinal tissues.The virus strain JSJR2023 could replicate efficiently in MA104 cells,achieving peak titers of 107.5 TCID50/mL.Whole genome genotype analysis showed that the strain belonged to G4-P[23]-I5-R1-C1-M1-A8-N1-T1-E1-H1.Phylogenetic analysis indicated that the VP3 and NSP4 genes of JSJR2023 strain were most closedrelated to human species rotaviruses,suggesting genetic reassortment between human and porcine RV strains.The animal experiments in suckling mice showed that the JSJR2023 strain infection caused diarrhea symptoms,intestinal edema and congestion,and shedding of intestinal villus epithelial cells.The pathogenicity experiments in piglets showed that compared with the control group,the challenged group of pig-lets had severe diarrhea symptoms,accompanied by reduced appetite and listlessness.Post-mortem examination revealed that the intes-tines were significantly thinner,congested,and filled with yellow watery contents.The challenged piglets showed typical pathological changes such as thinning of the intestinal wall and shortening and shedding of intestinal villi.In conclusion,this study successfully iso-lated a human-porcine recombinant G4P[23]PoRV strain and established the infection models in suckling mice and piglets,providing important tools for investigating the pathogenic mechanism of PoRV,evaluating vaccines and developing antiviral drug.

Objective To explore the value of integrating CT image features and quantitative dual-energy computed tomography(DECT)parameters in predicting cervical lymph nodes metastasis from laryngeal and hypopharyngeal squamous cell carcinoma(LHSCC).Methods The clinical and imaging data of 99 patients with LHSCC confirmed by pathology were retrospectively analyzed.All patients were divided into metastatic group(41 cases)and non-metastatic group(58 cases).The CT image features,including location,size and depth,were analyzed,respectively.The quantitative DECT parameters in the arterial and venous phases including iodine concentration(IC)and normalized iodine concentration(NIC)were measured.The rank sum test or independent-samples t-test were used to compare the difference of CT image features and quantitative DECT parameters between the two groups.The multivariate logistic regression analysis was used to build the models based on CT image features(image feature model)and combination of CT image features and quantitative DECT parameters(combined model).The receiver operating characteristic(ROC)curve was performed to analyze and compare the difference of predictive efficiency between the two groups.Results There were significant differences in tumor location between the non-metastatic group and the metastatic group(χ2=21.736,P<0.001).Size(33.20 mm vs 24.95 mm,P<0.001),depth(21.10 mm vs 13.15 mm,P<0.001)and NIC in the arterial phase(0.18 vs 0.14,P<0.001)in the metastatic group were significantly higher than those in the non-metastatic group.The area under the curve(AUC),sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the combined model were 0.851,75.6%,82.8%,58.5%,87.9%and 75.8%for predicting cervical lymph nodes metastasis.The AUC,sensitivity,specificity,positive predictive value,negative predictive value,accuracy of the image feature model were 0.792,95.1%,56.9%,53.7%,81.0%and 69.7%,respectively.The prediction performance of the combined model was better than that of the image feature model(Z=-2.028,P=0.043).Conclusion Integrating CT image features and quantitative DECT parameters has important value for predicting cervical lymph nodes metastasis from LHSCC.

Aim To explore the therapeutic effect and mechanism of Qingjie Huagong decoction in modulating PI3K/AKT/NF-κB signaling pathway in inflammatory response of acute pancreatitis(AP)mice.Methods Twenty-four mice were randomly divided into Blank group,Model group,Ustekin group,and Qingjie Hua-gong decoction group,with six mice in each group.The AP model was prepared by using rain frogin.Serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α lev-els were detected by ELISA;the pancreatic pathology was detected by HE staining;the expressions of PI3K,AKT,and NF-κB-related proteins and mRNAs were de-tected by immunohistochemistry,Western blot,and RT-qPCR.Results Compared with the blank group,the model group showed obvious pathological damage to the pancreas,with significantly higher serum α-AMS,PN-LP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels(P＜0.01),and significantly higher levels of PI3K,AKT,and NF-κB-related proteins and mRNA expression(P＜0.01).Compared with the model group,both the Qingjie Huagong decoction group and the ustekin group improved the histopathological changes in the pancreas of AP mice,decreased the serum α-AMS,PNLP,IL-1β,IL-6,IL-8,IL-18,and TNF-α levels,and down-reg-ulated the expression levels of pancreatic PI3K,AKT,NF-κB-related proteins and mRNA(P＜0.05 or P＜0.01).Conclusion Qingjie Huagong decoction may inhibit the inflammatory response and protect pancreat-ic tissues by regulating the expression of PI3K/AKT/NF-κB signaling pathway.

Objective To explore the factors influencing comorbid cardiovascular disease in schizophrenia and to construct a column-line graphical model.Methods Clinical data of 586 schizophrenic patients in the hospi-tal from June 2023 to October 2024 were retrospectively collected.The study included 100 patients with comorbid cardiovascular disease and 486 patients without co-morbid cardiovascular disease,which were divided into the comorbidity group(n=100)and the non-comorbidity group(n=486).Propensity score matching(PSM)was used to reduce between-group bias.The clinical data,electrocardiogram parameters[QT corrected by heart rate(QTc),Tp-Te interval corrected by heart rate(TP-Tec)],and Kynurenine(KYN)metabolites[tryptophan(TRP),KYN,and kynurenic acid(KYNA)]were statistically analyzed in both groups.Logistic regression equation was used to screen the influencing factors of comorbid cardiovascular disease in schizophrenia.A nomogram model was constructed and validated.Results(1)BMI,smoking,alcohol consumption,sleep disorders,QTc,TP-Tec,TRP,KYN,and KYNA were all high-risk factors for co-morbid cardiovascular disease in schizophrenia(P<0.05).(2)The diagnostic AUC for the nomogram model was 0.876,and there was a good concordance between diagnostic and observational results;and the threshold probability of a net patient benefit was higher when the threshold probability was between 5%and 100%.Conclusion The nomogram model constructed based on QTc,TP-Tec,TRP,KYN,KYNA,etc.can help improve the diagnostic value of schizophrenia comorbid cardiovascular disease,guide clinical diagnosis and treatment,and reduce cardiovascular disease.

Objective:To investigate the association between single nucleotide polymorphism (SNP) of the protein phosphatase 1 regulatory subunit 1B( PPP1R1B) gene and schizophrenia in the Han population of northern Henan province. Methods:Utilizing Psychiatric Genomics Consortium 3 (PGC3) data, the SNPs of PPP1R1B gene which were significantly associated with schizophrenia were screened.Subsequently, totally 1 721 schizophrenia patients and 6 726 healthy controls from the Han population in northern Henan province were recruited for further analysis. The SNP rs907094, located within the PPP1R1B gene was validated, and the clinical symptoms of 386 schizophrenia patients were evaluated using the positive and negative syndrome scale (PANSS). Additionally, expression quantitative trait loci (eQTL) association analysis was conducted to explore the relationship between the rs907094 polymorphism and PPP1R1B gene expression.The PLINK v1.9, Genetic Power Calculater, SPSS 20.0 softwares were used for data analysis. Results:Significant differences in genotype AA, AG, GG(schizophrenia group: AA, 489(28.4%); AG, 848(49.3%); GG, 384(22.3%); control group: AA, 1 450(21.6%); AG, 3 386(50.3%); GG, 1 890(28.1%), χ2=45.418, P<0.05) and allele frequency(schizophrenia group: A, 1 826(53.1%); G, 1 616(46.9%); control group: A, 6 286(46.7%); G, 7 166(53.3%), χ2=43.877, P<0.05) were observed for SNP rs907094 between the schizophrenia group and control group. Individuals carrying allele A were identified to have a higher risk of developing schizophrenia compared to those carrying allele G ( OR=1.288, 95% CI=1.195-1.388). Furthermore, the genotype PPP1R1B gene was found to be associated with the clinical features of schizophrenia. A statistically significant difference was observed in the excitement/hostility factor between AA and GG patients with rs907094 (13.62±5.65, 15.54±4.66)( P<0.05). Additionally, significant differences were noted in the cognitive factor scores between AA and GA genotypes (17.76±5.58, 19.43±5.73)( P<0.05). Conclusions:In the Han population from northern Henan province, the rs907094 polymorphism of the PPP1R1B gene is associated with schizophrenia.And the specific locus may be implicated in arousal/hostility symptoms and cognitive dysfunction.