Objective:To explore the mechanism of how neurocognition affects social functioning through fa-cial emotion recognition in individuals with schizophrenia.Methods:Totally 203 patients with schizophrenia meet-ing the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-IV)diagnostic criteria were re-cruited,with an age of(40±12)years,an initial onset age of(24±8)years,scored(60.4±16.1)points on the Positive and Negative Syndrome Scale.Using the Personal and Social Performance Scale(PSP),the MATRICS Consensus Cognitive Battery(MCCB),and the Facial Emotion Recognition Test(FERT)to assess patients'social functioning,neurocognition,and facial emotion recognition abilities.Results:In the relationship between MCCB fac-tor scores and PSP dimensions scores,happy face recognition showed a mediating effect in socially useful activities dimension(ACME=0.021,P＜0.01),sad(ACME=-0.026,P＜0.05)and surprised face recognition(ACME=-0.017,P＜0.05)showed mediating effects in self-care dimension.Additionally,sad(ACME=-0.025,P＜0.05)and fearful face recognition(ACME=-0.025,P＜0.001)played a mediating role in disruptive and aggres-sive behavior dimensions.Conclusion:Facial emotion recognition in patients with schizophrenia may play a media-ting role in the neurocognitive mechanisms of social dysfunction,with different dimensions of social dysfunction be-ing associated with specific categories of emotions.

ObjectiveTo investigate the effects of jujuboside A （JuA） on the learning and memory abilities and histopathological changes in the rat model of vascular cognitive impairment （VCI） and explore the potential mechanisms by which JuA treats VCI. MethodsA total of 50 male SPF-grade SD rats were randomized into a sham operation group （n=10）， a blank control group （n=10）， and a modeling group （n=30）. The rats in the modeling group underwent bilateral carotid artery ligation （2-VO） for the modeling of VCI. After stabilization， the VCI rats were randomized into model， JuA （20 mg·kg^-¹）， and donepezil （0.45 mg·kg^-¹） groups. After 4 weeks of gavage， the novel object recognition and Morris water maze tests were conducted to evaluate the learning and memory abilities of rats. Nissl staining was employed to evaluate the morphology and number of hippocampal neurons. Real-time PCR was employed to measure the mRNA levels of glycogen synthase kinase-3β （GSK-3β）， cAMP response element-binding protein （CREB）， B cell lymphoma-2 （Bcl-2）， phosphatidylinositol 3-kinase （PI3K）， and protein kinase B （Akt） in the hippocampal tissue. Western blot was employed to quantify the protein levels of GSK-3β， p-GSK-3β， p-CREB， Bcl-2， PI3K， p-PI3K， Akt， and p-Akt in the hippocampal tissue. ResultCompared with the sham operation group， the model group exhibited declines in the learning and memory abilities （P<0.01）， neuronal damage and decreased neurons in the hippocampal CA1 region （P<0.01）， up-regulation in the mRNA level of GSK-3β （P<0.01）， and down-regulation in the mRNA levels of PI3K， Akt， CREB， and Bcl-2， as well as the protein levels of p-PI3K， p-Akt， p-GSK-3β， p-CREB， and Bcl-2 （P<0.01）. In comparison to the model group， both the JuA and donepezil groups demonstrated improvements in the learning and memory abilities （P<0.05， P<0.01）， with reduced neuronal damage and increased neurons （P<0.05， P<0.01）. In addition， the two groups showed down-regulation in the mRNA level of GSK-3β （P<0.01） and up-regulation in the mRNA levels of PI3K， Akt， CREB， and Bcl-2 and the protein levels of p-PI3K， p-Akt， p-GSK-3β， p-CREB， and Bcl-2 （P<0.05， P<0.01）. There were no statistically significant differences between the blank control and sham operation groups in terms of the learning and memory abilities， neuron count， and mRNA and protein levels of PI3K/Akt/GSK-3β pathway-related factors. ConclusionJuA can ameliorate the cognitive impairment in the rat model of VCI by activating the PI3K/Akt signaling pathway， reducing the apoptosis of hippocampal neurons， and alleviating the hippocampal neuronal damage.

Objective:To explore the mechanism of how neurocognition affects social functioning through fa-cial emotion recognition in individuals with schizophrenia.Methods:Totally 203 patients with schizophrenia meet-ing the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-IV)diagnostic criteria were re-cruited,with an age of(40±12)years,an initial onset age of(24±8)years,scored(60.4±16.1)points on the Positive and Negative Syndrome Scale.Using the Personal and Social Performance Scale(PSP),the MATRICS Consensus Cognitive Battery(MCCB),and the Facial Emotion Recognition Test(FERT)to assess patients'social functioning,neurocognition,and facial emotion recognition abilities.Results:In the relationship between MCCB fac-tor scores and PSP dimensions scores,happy face recognition showed a mediating effect in socially useful activities dimension(ACME=0.021,P＜0.01),sad(ACME=-0.026,P＜0.05)and surprised face recognition(ACME=-0.017,P＜0.05)showed mediating effects in self-care dimension.Additionally,sad(ACME=-0.025,P＜0.05)and fearful face recognition(ACME=-0.025,P＜0.001)played a mediating role in disruptive and aggres-sive behavior dimensions.Conclusion:Facial emotion recognition in patients with schizophrenia may play a media-ting role in the neurocognitive mechanisms of social dysfunction,with different dimensions of social dysfunction be-ing associated with specific categories of emotions.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

Objective:To establish a model for the combined detection of serum copeptin and inflammatory markers in acute stroke (AS), and to explore the value of copeptin and inflammatory marker detection in the clinical diagnosis and prognosis assessment of AS.Methods:A total of 75 patients were diagnosed with acute ischemic stroke (AIS) [46 males, age (64.1±11.7) years] and 45 patients with acute intracerebral hemorrhage (ICH) [28 males, age (61.0±13.9) years] who were admitted to the First Affiliated Hospital of Hunan University of Chinese Medicine through the emergency department from January 1 to July 31, 2024, were included as the observation group. Meanwhile, 60 healthy individuals [39 males, age (64.4±8.2) years] were selected as the control group (HC). The differences in serum copeptin levels and inflammatory markers among different groups were compared. ROC curves were drawn to analyze the value of copeptin and inflammatory markers in the clinical diagnosis and prognosis assessment of AIS. The Kaplan-Meier method was used to draw survival curves to analyze the in-hospital survival rates of patients in different groups. Cox regression analysis was conducted to identify the risk factors affecting the prognosis of AIS patients.Results:The level of copeptin was significantly elevated in AS, with the results showing ICH>AIS>HC ( H=100.11, P<0.001). Copeptin demonstrated the highest efficacy in the early diagnosis of AIS and ICH (AUC=0.893, sensitivity 89.3%, specificity 75.0%; AUC=0.986, sensitivity 95.6%, specificity 93.3%) and the assessment of prognosis (AUC=0.997, sensitivity 100%, specificity 96.8%; AUC=0.907, sensitivity 86.7%, specificity 86.7%), outperforming other single indicators. The combined detection of copeptin with the neutrophil-to-lymphocyte ratio (NLR) and the systemic immune-inflammation index (SIIRI) was the best combination for the early diagnosis of AIS and ICH (AUC=0.937, sensitivity 77.3%, specificity 98.3%; AUC=0.989, sensitivity 95.6%, specificity 95.0%) and for the assessment of prognosis (AUC=0.996, sensitivity 100%, specificity 96.8%; AUC=0.944, sensitivity 86.7%, specificity 90.0%). Kaplan-Meier survival curves showed that AIS patients in the low-value group of copeptin and NLR had a higher survival rate during hospitalization than those in the high-value group ( HR 54.46, 7.608, P<0.01, respectively), and ICH patients in the low-value group of copeptin, SIIRI, SIRI, and SII had a higher survival rate during hospitalization than those in the high-value group ( HR 12.67, 7.923, 3.567, 5.925, P<0.05); Cox regression showed that copeptin, NLR, NIHSS, and mRS were independent risk factors affecting the prognosis of patients with AIS ( HR 1.421, 1.368, 1.158, and 1.188, respectively, P<0.05), copeptin and SIIRI were independent risk factors affecting the prognosis of ICH ( HR 1.308, 1.113, P<0.05), and GCS was a protective factor affecting ICH prognosis ( HR=0.741, P<0.05). Conclusion:Copeptin and inflammatory indicators can reflect the severity of different subtypes of stroke. The single or combined detection shows good value in the clinical application of AS. The combination of copeptin-NLR and copeptin-SIIRI is respectively the best comprehensive biomarker combination for the early diagnosis and prognosis assessment of AIS and ICH.

Objective:To establish a model for the combined detection of serum copeptin and inflammatory markers in acute stroke (AS), and to explore the value of copeptin and inflammatory marker detection in the clinical diagnosis and prognosis assessment of AS.Methods:A total of 75 patients were diagnosed with acute ischemic stroke (AIS) [46 males, age (64.1±11.7) years] and 45 patients with acute intracerebral hemorrhage (ICH) [28 males, age (61.0±13.9) years] who were admitted to the First Affiliated Hospital of Hunan University of Chinese Medicine through the emergency department from January 1 to July 31, 2024, were included as the observation group. Meanwhile, 60 healthy individuals [39 males, age (64.4±8.2) years] were selected as the control group (HC). The differences in serum copeptin levels and inflammatory markers among different groups were compared. ROC curves were drawn to analyze the value of copeptin and inflammatory markers in the clinical diagnosis and prognosis assessment of AIS. The Kaplan-Meier method was used to draw survival curves to analyze the in-hospital survival rates of patients in different groups. Cox regression analysis was conducted to identify the risk factors affecting the prognosis of AIS patients.Results:The level of copeptin was significantly elevated in AS, with the results showing ICH>AIS>HC ( H=100.11, P<0.001). Copeptin demonstrated the highest efficacy in the early diagnosis of AIS and ICH (AUC=0.893, sensitivity 89.3%, specificity 75.0%; AUC=0.986, sensitivity 95.6%, specificity 93.3%) and the assessment of prognosis (AUC=0.997, sensitivity 100%, specificity 96.8%; AUC=0.907, sensitivity 86.7%, specificity 86.7%), outperforming other single indicators. The combined detection of copeptin with the neutrophil-to-lymphocyte ratio (NLR) and the systemic immune-inflammation index (SIIRI) was the best combination for the early diagnosis of AIS and ICH (AUC=0.937, sensitivity 77.3%, specificity 98.3%; AUC=0.989, sensitivity 95.6%, specificity 95.0%) and for the assessment of prognosis (AUC=0.996, sensitivity 100%, specificity 96.8%; AUC=0.944, sensitivity 86.7%, specificity 90.0%). Kaplan-Meier survival curves showed that AIS patients in the low-value group of copeptin and NLR had a higher survival rate during hospitalization than those in the high-value group ( HR 54.46, 7.608, P<0.01, respectively), and ICH patients in the low-value group of copeptin, SIIRI, SIRI, and SII had a higher survival rate during hospitalization than those in the high-value group ( HR 12.67, 7.923, 3.567, 5.925, P<0.05); Cox regression showed that copeptin, NLR, NIHSS, and mRS were independent risk factors affecting the prognosis of patients with AIS ( HR 1.421, 1.368, 1.158, and 1.188, respectively, P<0.05), copeptin and SIIRI were independent risk factors affecting the prognosis of ICH ( HR 1.308, 1.113, P<0.05), and GCS was a protective factor affecting ICH prognosis ( HR=0.741, P<0.05). Conclusion:Copeptin and inflammatory indicators can reflect the severity of different subtypes of stroke. The single or combined detection shows good value in the clinical application of AS. The combination of copeptin-NLR and copeptin-SIIRI is respectively the best comprehensive biomarker combination for the early diagnosis and prognosis assessment of AIS and ICH.

ObjectiveTo systematically sort out the knowledge framework and conceptual logic relationship of "disease-syndrome-treatment-prescription-medicine" in the existing literature on traditional Chinese medicine（TCM） treatment of diabetic peripheral neuropathy（DPN）， to construct of the knowledge map of TCM treatment of DPN， and to promote the explicitation of the implicit knowledge in the literature on the treatment of DPN with TCM. MethodTaking the literature of China National Knowledge Infrastructure about TCM treatment of DPN as the main data source， TCM-related concepts and entities were constructed by manual citation， and the corresponding relationships between the entities were established. Structured data were formed by processing with Python 3.7， and the knowledge graph was constructed based on Neo4j 3.5.34 graph database. ResultThe resulting knowledge graph with TCM diagnosis and treatment logic， defined 12 node labels such as prescriptions， Chinese medicines and syndrome types at the schema layer， as well as 4 types of relationships， such as inclusion， correspondence， selection and composition. It could support the query and discovery of nodes（syndrome elements， syndrome types and treatment methods）， as well as the relationship between each node. ConclusionBased on the literature data， this study constructed a knowledge map for TCM treatment of DPN， which brought together various methods of TCM treatment of DPN， including internal and external treatment. The whole chain knowledge structure of syndrome differentiation and classification for DPN treatment is formed from syndrome element analysis， syndrome type composition to treatment method selection， which can provide new ideas and methods for literature data to serve clinical and scientific research work， as well as reference for visualization of TCM literature knowledge， intellectualization of TCM knowledge services and the standardization of TCM diagnosis and treatment.

Objective To analyze the pharmacodynamic interaction of esketamine and propofol in hysteroscopic surgery by response surface method.Methods Forty-five patients underwent elective hystero-scopic surgery,aged 18.5-64.0 years,BMI 18.5-28.0 kg/m2,ASA physical status Ⅰ or Ⅱ.Compound propofol target control infusion of esketamine(0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,and 0.8 μg/ml)with different plasma drug concentrations were selected to keep the plasma drug concentration of esketamine unchanged,and the plasma drug concentration of propofol was increased step by step.To evaluate body re-sponse caused by dilation of the cervix.A response surface model was used to analyze the pharmacodynamic interaction of esketamine and propofol.Results The three-dimensional response surface of esketamine(0.0-0.8 μg/ml)and propofol(1.0-7.0 μg/ml)showed that the two have an additive effect in sedation and inhibition of body activity reaction caused by dilated cervix.The median effective concentration(EC50)of esketamine was 0.61 μg/ml(95％CI 0.41-0.81 μg/ml),and the EC50 of propofol was 4.69 μg/ml(95％CI 3.17-6.21 μg/ml)when inhibits the body activity reaction caused by dilated cervix.Conclusion Response surface method can qualitatively and quantitatively analyze the pharmacodynamic interaction of es-ketamine and propofol.Esketamine and propofol have additive effects in inhibiting the body activity reaction caused by dilated cervix.

To investigate the differences in methylation levels of cuproptosis related genes in cervical cancer and their effects on clinical prognosis.Methods:The methylation data of 310 cervical tissue specimens were acquired from public databases. The UALCAN database was used to analyze the methylation level differences of 12 cuproptosis-related genes and study their level in different stages or grades of cervical cancer. Genes with statistically significant differences were selected for prognosis analysis using the EWAS datahub. Finally, gene-enrichment analysis, pathway analysis, immune infiltration analysis, the mutation rate and tumor mutation burden (TMB) of the genes in cervical cancer were analyzed using the cBioportal database. Two independent samples rank-sum test was used for differences in methylation levels and immune cell infiltration; comparative analyses of overall survival were performed using KM survival curves and Log-rank two-sided tests. TMB analyses were performed using the Wilcoxon Test for statistical analyses; Pearson correlation analysis was used for assessment in GSEA and pathway analyses.Results:The methylationβvalue of Cyclin Dependent Kinase Inhibitor 2A (CDKN2A gene) in the cervical cancer tissues of patients was 0.075 which was significantly higher than the methylationβvalue of 0.049 in normal human tissues ( P=0.008). Dihydrolipoamide S-Acetyltransferase (DLAT gene) methylation with a β value of 0.102 was significantly higher than normal human tissue methylation with a β value of 0.08 ( P=0.002), and the methylation level β value of Lipoyltransferase 1 (LIPT1 gene) in cervical cancer tissues was 0.06,which was significantly lower than normal human tissue methylation value of 0.092 ( P=0.009). Patients with CDKN2A gene methylation levels≥0.199 had an overall survival of 14.75 years, which was lower than that of patients with methylation levels<0.199 (17.56 years) ( P=0.034).The results of gene enrichment analysis indicated that it mainly involves biological processes such as the response to type I interferon and DNA replication. The expression of CDKN2A gene is positively correlated with the number of neutrophils and dendritic cells in the tumor microenvironment( P<0.05), and negatively correlated with the number ofmacrophages( P<0.05). TMB was higher in the group of variants of the CDKN2A gene than in the group of non-variants ( P=0.019). Conclusion:CDKN2A methylation is a potential biomarker for predicting the prognosis of cervical cancer.