Sigma-1 receptor (σ ₁R) has become a focus point of drug discovery for central nervous system (CNS) diseases. A series of novel 1-phenylethan-1-one O-(2-aminoethyl) oxime derivatives were synthesized. In vitro biological evaluation led to the identification of 1a, 14a, 15d and 16d as the most high-affinity (K _i < 4 nmol/L) and selective σ ₁R agonists. Among these, 15d, the most metabolically stable derivative exhibited high selectivity for σ ₁R in relation to σ ₂R and 52 other human targets. In addition to low CYP450 inhibition and induction, 15d also exhibited high brain permeability and excellent oral bioavailability. Importantly, 15d demonstrated effective antipsychotic potency, particularly for alleviating negative symptoms and improving cognitive impairment in experimental animal models, both of which are major challenges for schizophrenia treatment. Moreover, 15d produced no significant extrapyramidal symptoms, exhibiting superior pharmacological profiles in relation to current antipsychotic drugs. Mechanistically, 15d inhibited GSK3β and enhanced prefrontal BDNF expression and excitatory synaptic transmission in pyramidal neurons. Collectively, these in vivo proof-of-concept findings provide substantial experimental evidence to demonstrate that modulating σ ₁R represents a potential new therapeutic approach for schizophrenia. The novel chemical entity along with its favorable drug-like and pharmacological profile of 15d renders it a promising candidate for treating schizophrenia.

Objective To investigate the effect of KH-type splicing regulatory protein(KHSRP)on the malignant biological behavior of lung adenocarcinoma(LUAD)by targeting the Janus kinase 1(JAK1)/signal transducer and activator of transcription 3(STAT3)signaling axis.Methods Clinical data were collected for 64 patients with LUAD,diagnosed at Huaihe Hospital from January 2017 to December 2018.Expression levels of KHSRP were detected in LUAD tissues and adjacent tissues by immunohistochemical staining.KHSRP gene expression was also detected in LUAD cell lines(SPC-A1,H1975,CL1-5,PC-9,Calu-3,H446)and normal human bronchial epithelial cells using quantitative reverse transcription-polymerase chain reaction.KHSRP expression in SPC-A1,H1975,PC-9,and Calu-3 cells was manipulated by lentivirus transfection.The effects of KHSRP on the proliferation,migration,and invasion of LUAD cells were detected by Cell Counting Kit-8 and Transwell assays.The effects of KHSRP overexpression and knockdown were also investigated in a mouse xenograft tumor model,and JAK/STAT signaling pathway proteins were detected by Western blot.Rescue experiments were conducted to verify if KHSRP promoted the malignant progression of LUAD cells by regulating the JAK1/STAT3 signaling pathway.Results KHSRP expression was significantly higher in LUAD tissues compared with adjacent tissues(P＜0.05).Overexpression of KHSRP significantly promoted the proliferation,migration,and invasion of LUAD cells in vitro(P＜0.05).KHSRP also promoted LUAD cell xenograft tumor growth and lung nodule metastasis in nude mice in vivo(P＜0.01).KHSRP knockdown significantly decreased the levels of JAK1,phospho-JAK1,and STAT3 in the JAK/STAT signaling pathway,while the situation was reversed following KHSRP overexpression(P＜0.05).Rescue experiments showed that KHSRP reversed the inhibitory effect of knockdown(P＜0.05).Conclusions KHSRP targets the JAK1/STAT3 signaling pathway and acts as an oncogene in LUAD.

Objective To explore the application of Mini-CEX oriented by nurses'core competencies in the clinical teaching of intern nursing students.Methods A total of 50 students,interning in the First Affiliated Hospital of Kunming Medical University from January 1,2023 to April 30,2024,were randomly divided into experimental group and control group,with 25 students in each group.The control group was taught by traditional clinical teaching methods,and the experimental group by Mini-CEX.The data indicators of the two groups of intern nursing students were analyzed and compared at entry into and exit from the department,respectively.Results The scores of the two groups were higher than those at entry into the department(P<0.05),and the intern nursing students in the experimental group had excellent scores in nursing consultation,nursing examination,nursing diagnosis,nursing measures,humanistic care,organizational effectiveness,health consultation,and overall evaluation,and the scores were higher than those of the control group(P<0.05).The improvement in all the scores was also better than that of the control group(P<0.05).Conclusion Mini-CEX,which is oriented to the nurse'core competencies of nurses,can improve the clinical nursing abilities of intern nursing students and enhance the cultivation effect of clinical practice skills.

Objective To investigate the effect of KH-type splicing regulatory protein(KHSRP)on the malignant biological behavior of lung adenocarcinoma(LUAD)by targeting the Janus kinase 1(JAK1)/signal transducer and activator of transcription 3(STAT3)signaling axis.Methods Clinical data were collected for 64 patients with LUAD,diagnosed at Huaihe Hospital from January 2017 to December 2018.Expression levels of KHSRP were detected in LUAD tissues and adjacent tissues by immunohistochemical staining.KHSRP gene expression was also detected in LUAD cell lines(SPC-A1,H1975,CL1-5,PC-9,Calu-3,H446)and normal human bronchial epithelial cells using quantitative reverse transcription-polymerase chain reaction.KHSRP expression in SPC-A1,H1975,PC-9,and Calu-3 cells was manipulated by lentivirus transfection.The effects of KHSRP on the proliferation,migration,and invasion of LUAD cells were detected by Cell Counting Kit-8 and Transwell assays.The effects of KHSRP overexpression and knockdown were also investigated in a mouse xenograft tumor model,and JAK/STAT signaling pathway proteins were detected by Western blot.Rescue experiments were conducted to verify if KHSRP promoted the malignant progression of LUAD cells by regulating the JAK1/STAT3 signaling pathway.Results KHSRP expression was significantly higher in LUAD tissues compared with adjacent tissues(P＜0.05).Overexpression of KHSRP significantly promoted the proliferation,migration,and invasion of LUAD cells in vitro(P＜0.05).KHSRP also promoted LUAD cell xenograft tumor growth and lung nodule metastasis in nude mice in vivo(P＜0.01).KHSRP knockdown significantly decreased the levels of JAK1,phospho-JAK1,and STAT3 in the JAK/STAT signaling pathway,while the situation was reversed following KHSRP overexpression(P＜0.05).Rescue experiments showed that KHSRP reversed the inhibitory effect of knockdown(P＜0.05).Conclusions KHSRP targets the JAK1/STAT3 signaling pathway and acts as an oncogene in LUAD.

Objective:To utilize a deep learning approach based on speech to distinguish between depressive and manic mood states in patients with bipolar disorder (BD).Methods:Sixty-one BD patients who visited the outpatient department of psychiatry at Peking University Sixth Hospital were recruited to participate in the study from June 2018 to March 2022. Quick Inventory of Depressive Symptomatology, Mood Disorder Questionnaire and Young Mania Rating Scale were used to determine patients′ mood states. The voices of the patients were recorded, including 190 samples during the patient′s remission, depressive, and manic mood period respectively. A total of 136 features were extracted from the voice samples, including Mel-frequency cepstral coefficients and zero-crossing rates using the speech analysis library in Python. A LIGHT-SERNET-based network was then used to train a model for emotion classification. Accuracy is used to evaluate the performance of the model, using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristic curve (ROC) to evaluate the predictive results of model for three mood states. Kruskal-Wallis H tests or χ 2 tests were conducted to compare the differences among the demographic information of three groups. Results:There were statistically significant differences among the three groups in age ( H=25.83, P<0.001), years of education ( H=25.25, P<0.001) and marital status (χ 2=23.81, P<0.001). There is no significant difference in gender (χ 2=4.63, P=0.099). The accuracy of the model in detecting the three emotional states was 0.84. The sensitivity and specificity in detecting remission were 0.88 and 0.93, respectively, and the positive predictive value and negative predictive value were 0.87 and 0.94, respectively. The sensitivity and specificity in detecting depressive episodes were 0.82 and 0.92, respectively, and the positive predictive value and negative predictive value were 0.84 and 0.92, respectively. The sensitivity and specificity in detecting manic episodes were 0.82 and 0.91, respectively, and the positive predictive value and negative predictive value were 0.83 and 0.91, respectively. The areas of the receiver operation characteristic curve for the three mood states were similar and all exceeded 0.90. Conclusion:The LIGHT-SERNET-based deep learning model shows good discrimination ability between depressive and manic mood states based on speech analysis.

Objective:To utilize a deep learning approach based on speech to distinguish between depressive and manic mood states in patients with bipolar disorder (BD).Methods:Sixty-one BD patients who visited the outpatient department of psychiatry at Peking University Sixth Hospital were recruited to participate in the study from June 2018 to March 2022. Quick Inventory of Depressive Symptomatology, Mood Disorder Questionnaire and Young Mania Rating Scale were used to determine patients′ mood states. The voices of the patients were recorded, including 190 samples during the patient′s remission, depressive, and manic mood period respectively. A total of 136 features were extracted from the voice samples, including Mel-frequency cepstral coefficients and zero-crossing rates using the speech analysis library in Python. A LIGHT-SERNET-based network was then used to train a model for emotion classification. Accuracy is used to evaluate the performance of the model, using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and receiver operating characteristic curve (ROC) to evaluate the predictive results of model for three mood states. Kruskal-Wallis H tests or χ 2 tests were conducted to compare the differences among the demographic information of three groups. Results:There were statistically significant differences among the three groups in age ( H=25.83, P<0.001), years of education ( H=25.25, P<0.001) and marital status (χ 2=23.81, P<0.001). There is no significant difference in gender (χ 2=4.63, P=0.099). The accuracy of the model in detecting the three emotional states was 0.84. The sensitivity and specificity in detecting remission were 0.88 and 0.93, respectively, and the positive predictive value and negative predictive value were 0.87 and 0.94, respectively. The sensitivity and specificity in detecting depressive episodes were 0.82 and 0.92, respectively, and the positive predictive value and negative predictive value were 0.84 and 0.92, respectively. The sensitivity and specificity in detecting manic episodes were 0.82 and 0.91, respectively, and the positive predictive value and negative predictive value were 0.83 and 0.91, respectively. The areas of the receiver operation characteristic curve for the three mood states were similar and all exceeded 0.90. Conclusion:The LIGHT-SERNET-based deep learning model shows good discrimination ability between depressive and manic mood states based on speech analysis.

Abstract During the yellow fever epidemic in Angola in 2016, cases of yellow fever were reported in China for the first time. The 11 cases, all Chinese nationals returning from Angola, were identified in March and April 2016, one to two weeks after the peak of the Angolan epidemic. One patient died; the other 10 cases recovered after treatment. This paper reviews the epidemiological characteristics of the 11 yellow fever cases imported into China. It examines case detection and disease control and surveillance, and presents recommendations for further action to prevent additional importation of yellow fever into China.

BACKGROUND:It has been proved that miR-34a plays an inhibitory role in the growth of lung cancer stem cels, but the underlying mechanism remains unclear.
OBJECTIVE:To explore the inhibitory effect of miR-34a on lung cancer stem celsand the underlying mechanism.
METHODS:The CD133+lung cancer stem cels were separated from lung cancer A549 cel lines using magnetic activated cel sorting method. And miR-34a-overexpressing CD133+lung cancer stem cels were established by liposome transfection technology. Besides,the targeted relationship between miR-34a and Notch1 was analyzed by the dual-luciferase reporter. Afterwards, Notch1 silencing was performed by gene knockout, and its effect on lung cancer stem cels was determined.
RESULTS AND CONCLUSION:After sorted and detected by immunomagetic selection and flow cytometry assay respectively, a high rate of CD133+lung cancer stem cel was obtained. And qRT-PCR detected that the expression level of miR-34a in CD133+lung cancer stem cels was significantly lower than that in CD133-lung cancer stem cels. Moreover, miR-34a-overexpressing CD133+lung cancer stem cels were successfuly constructedandmiR-34a significantly inhibited proliferation and induced apoptosis of lung cancer stemcels. Dual-luciferase reporter assay indicated that Notch1 mRNA was a target of miR-34a. In addition, Notch1 silencing obviously inhibited proliferation and induced apoptosis of lung cancer stem cels. These findings suggest that miR-34a can inhibite lungcancer stem celsviathe Notch1 signaling pathway.

Objective To observe the effects of autophagy on the expression of synaptic plasticity related protein, growth-associated pro-tein-43 (GAP-43) and microtubule associated protein-2 (MAP-2), in CA1 area of hippocampus of vascular dementia rats. Methods Nine-ty-six healthy male Sprague-Dawley rats were randomly divided into sham group, vascular dementia model group (VD group), autophagy in-hibitor 3-methyl adenine preconditioning group (3-MA group) and autophagy agonist rapamycin preconditioning group (Rap group). Each group was divided randomly into subgroups of one week, two weeks, four weeks and eight weeks after modeling, six rats in each group. The vascular dementia rat model was established with modified Pulsineli's four-vessel occlusion. The expression of GAP-43 and MAP-2 in CA1 area of hippocampus were detected with immunohistochemistry. Results Compared with the sham group, the expression of GAP-43 protein increased, and the expression of MAP-2 protein decreased at every time point in VD group (P<0.01). Compared with VD group, the expres-sion of both GAP-43 and MAP-2 increased in 3-MA group (P<0.05), and decreased in Rap group (P<0.05). Conclusion Autophagy may in-hibit the expression of synaptic plasticity related protein, GAP-43 and MAP-2, in CA1 area of hippocampus in vascular dementia rats, indi-cating inhibition of autophagy may promote synaptic remodeling.

Objective To observe the effects of Eldepryl on expressions of tyrosine hydroxylase (TH) and glial cell line-derived neurotrophic factor (GDNF) in substantia nigra and striatum in Parkinson’s disease (PD) and to explore the protective mechanism of Eldepryl on dopaminergic neuron . Methods Healthy male Sprague-Dawley (SD) rats (n=72) were randomly divided into control group, model group and Eldepryl group (n=24 in each group). Each group was divided random?ly into 2 subgroups as 4 day treatment group and 8 day treatment group (n=12 in each subgrop). Pakinson’s disease model was established by injecting rotenone subcutaneously back the neck, rats in the control group were injected with an equal vol?ume of sunflower oil subcutaneously at the same location. Rats in the Eldepryl group were then given Eldepryl 0.5 mg·kg-1 in?tragastrically every day for 4 or 8 consecutive days and rats in model group and control group were given an equal volume of saline instead. The expression of TH and GDNF in substantia nigra and striatum were detected by immunohistochemistry and Western blotting. Results Immunohistochemistry and Western blotting showed that strong expression of TH positive cells with little expression of GDNF positive cells were seen in substantia nigra and striatum in rats of control group, and there was no significant difference between subgroup of 8 day treatment and 4 day treatment within control group. The expression of TH cells and GDNF were both significantly reduced in model group compared with those in control group (both P<0.05), and there was no significant difference between subgroup of 8 day treatment and 4 day treatment within each group. The ex?pression of TH positive cells were significantly reduced in Eldepryl group compared with those in control group, and were sig?nificantly increased compared with those in model group. The expression of GDNF positive cells were significantly increased in Eldepryl group compared with those in control group and model group (all P<0.05). And there were significantly more ex?pression of TH positive cells and GDNF positive cells at subgroup of 8 day treatment compared with those at subgroup of 4 day treatment within Eldepryl group with (all P<0.05). Conclusion These data suggest that Eldepryl can protect the dam?age of dopaminergic neurons in substantia nigra and striatum of PD rats. And its therapeutic mechanism may be associated with increased expression of GDNF.