Modeling vocal-fold vibration is extremely significant in realizing the vibration properties of human vocal folds and investigating their physiological and pathological characteristics. A combined model presented is two mass-finite element (T-F) model, which integrates all merits of both the finite element method (FEM) model and the asymmetric two-mass model of vocal folds. The high-speed glottis graph (HGG) can also be synthesized by the model. The result shows that T-F model can simulate the vibration behavior of normal and pathological vocal folds in a more realistic way with competitively computational speed. Therefore, the T-F model is helpful to gaining a thorough understanding of the vibration properties of vocal folds.
Computer Simulation ; Finite Element Analysis ; Humans ; Models, Biological ; Speech ; physiology ; Vibration ; Video Recording ; instrumentation ; Vocal Cord Paralysis ; diagnosis ; physiopathology ; Vocal Cords ; physiology

Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding the genome related to drug response is also the key for completing oncology precision medicine. In this paper, based on the cancer cell line gene expression and the drug response data, we established a reliable and accurate drug response prediction model and found predictor genes for some drugs of interest. To this end, we first performed pre-selection of genes based on the Pearson correlation coefficient and then used ElasticNet regression model for drug response prediction and fine gene selection. To find more reliable set of predictor genes, we performed regression twice for each drug, one with IC50 and the other with area under the curve (AUC) (or activity area). For the 12 drugs we tested, the predictive performance in terms of Pearson correlation coefficient exceeded 0.6 and the highest one was 17-AAG for which Pearson correlation coefficient was 0.811 for IC50 and 0.81 for AUC. We identify common predictor genes for IC50 and AUC, with which the performance was similar to those with genes separately found for IC50 and AUC, but with much smaller number of predictor genes. By using only common predictor genes, the highest performance was AZD6244 (0.8016 for IC50, 0.7945 for AUC) with 321 predictor genes.

Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding the genome related to drug response is also the key for completing oncology precision medicine. In this paper, based on the cancer cell line gene expression and the drug response data, we established a reliable and accurate drug response prediction model and found predictor genes for some drugs of interest. To this end, we first performed pre-selection of genes based on the Pearson correlation coefficient and then used ElasticNet regression model for drug response prediction and fine gene selection. To find more reliable set of predictor genes, we performed regression twice for each drug, one with IC50 and the other with area under the curve (AUC) (or activity area). For the 12 drugs we tested, the predictive performance in terms of Pearson correlation coefficient exceeded 0.6 and the highest one was 17-AAG for which Pearson correlation coefficient was 0.811 for IC50 and 0.81 for AUC. We identify common predictor genes for IC50 and AUC, with which the performance was similar to those with genes separately found for IC50 and AUC, but with much smaller number of predictor genes. By using only common predictor genes, the highest performance was AZD6244 (0.8016 for IC50, 0.7945 for AUC) with 321 predictor genes.

In order to monitor the physiological condition of the human body in daily life, this study has designed a system of measuring physiological parameters based on cushion, which could detect heart rate and respiration rate when people are sitting. The system can continuously colect signal from cushion with a state of low pressure and without sticking any electrode on people’s bodies. The hardware part mainly includes the signal acquisition circuit of the sensor, microcomputer control module and Bluetooth wireless transmission module. For the two physiological signals have the characteristic of the large noise and low-frequency, we use the Butterworth low-pass filter to process the signal according to an optimized Matlab algorithm. The results show that this system can measure heart rate and respiration rate accurately. Thus, the real-time monitoring on body’s information can be implemented.

Objective:To compare the antiplatelet effects of vicagrel and clopidogrel in patients with different cytochrome P450 (CYP) 2C19 genotypes.Methods:This is a post-hoc analysis of a phase Ⅱ clinical trial of vicagrel, which included patients with coronary heart disease who underwent percutaneous coronary intervention from August 2018 to June 2019 in 18 centers. Patients were categorized based on the presence of CYP 2C19 *2 or *3 loss-of-function (LOF) alleles into LOF carrier group ( n=111) and non-LOF carrier group ( n=90). Each group included patients received vicagrel 5 mg, 6 mg, 7.5 mg, or clopidogrel 75 mg for 28 days per study protocol. P2Y 12 reaction units (PRU) were measured using VerifyNow at baseline, 6 to 8 hours after loading dose, 7 to 10 days after randomization, and 28 days after randomization and the percentage inhibition of platelet aggregation (%IPA) was calculated. The primary endpoint was %IPA on day 28. Within the patients from the General Hospital of Northern Theater Command, 8 to 12 patients in each study arms were enrolled in a prespecified pharmacokinetic sub-study, measuring the time to reach maximum plasma concentration (T max), peak plasma concentration (C max), and area under the plasma concentration-time curve (AUC). Results:Among 201 patients, the age was (58.8±8.5) years, and 139 (69.2%) were male. In non-LOF carriers, there was no significant differences in PRU values and %IPA between the vicagrel 5 mg, 6 mg, 7 mg, and clopidogrel groups at all time points (all P>0.05). In LOF carriers, %IPA was significantly higher in the vicagrel-treated groups than in the clopidogrel group at 6-8 hours after loading dose (22.9 (14.2, 31.5)% vs. 19.8 (11.0, 28.6)% vs. 29.5 (20.9, 38.0)% vs. 12.9 (3.9, 21.9)%, P=0.038) and 7-10 days after randomization (22.4 (14.2, 30.5)% vs. 34.4 (26.1, 42.6)% vs. 39.8 (31.8, 47.9)% vs. 24.7 (16.3, 33.2)%, P=0.001), with a trend towards higher %IPA in the vicagrel-treated groups at day 28 (30.4 (21.3, 39.6)% vs. 36.5 (27.2, 45.7)% vs. 40.8 (31.8, 49.8)% vs. 30.7(21.2, 40.2)%, P=0.056). Pharmacokinetic results of 35 patients showed that the C max and AUC of the active metabolite M15-2 of vicagrel was similar to that of clopidogrel in non-LOF carriers, but AUC between vicagrel 5 mg, 6 mg, 7 mg and clopidogrel were significantly different in LOF carriers ((5.6±0.6) h·μg -1·L -1 vs. (6.8±2.7) h·μg -1·L -1 vs. (9.2±3.3) h·μg -1·L -1 vs. (4.2±1.9) h·μg -1·ml -1, P=0.020). Conclusion:Vicagrel and clopidogrel have similar antiplatelet effects in non-LOF carriers, but vicagrel exhibits superior antiplatelet effects in LOF carriers.

Objective:To discuss the inhibitory effect of chelerythrine(CHE)on the migration,invasion,and epithelial-mesenchymal transition(EMT)of the human ovarian cancer SKOV3 cells,and to clarify the associated mechanism.Methods:The SKOV3 cells were cultured in vitro and divided into control group and 2.5,5.0,10.0,20.0,and 40.0 μmol·L-1 CHE groups.Methylthiazolydiphenyl-tetrazolium(MTT)assay was used to detect the inhibitory rates of proliferation of the cells in various groups.The SKOV3 cells were cultured in vitro and divided into control group,transforming growth factor-β1(TGF-β1)group,TGF-β1+5 μmol·L-1 CHE group,and TGF-β1+10 μmol·L-1 CHE group.Cell scratch assay was used to detect the migration rates of the cells in various groups;Transwell chamber assay was used to detect the numbers of migration and invasion cells in various groups;Western blotting method was used to detect the expression levels of E-cadherin,N-cadherin,and Vimentin proteins in the cells in various groups;immunofluorescence staining method was used to detect the fluorescence intensities of E-cadherin and N-cadherin in the cells in various groups.Results:The MTT assay results showed that compared with control group,the inhibitory rates of proliferation of the cells in 5.0,10.0,20.0,and 40.0 μmol·L-1 CHE groups were significantly increased(P<0.05 or P<0.01).The cell scratch assay results showed that compared with control group,the migration rate of the cells in TGF-β1 group was increased(P<0.01);compared with TGF-β1 group,the migration rates of the cells in TGF-β1+5 μmol·L-1 CHE group and TGF-β1+10 μmol·L-1 CHE group were significantly decreased(P<0.01).The Transwell chamber assay results showed that compared with control group,the numbers of migration and invasion cells in TGF-β1 group were significantly increased(P<0.05);compared with TGF-β1 group,the numbers of migration and invasion cells in TGF-β1+5 μmo·l L-1 CHE group and TGF-β1+10 μmo·l L-1 CHE group were significantly decreased(P<0.01).The Western blotting results showed that compared with control group,the expression level of E-cadherin protein in the cells in TGF-β1 group was significantly decreased(P<0.01),while the expression levels of N-cadherin and Vimentin proteins were increased(P<0.05 or P<0.01);compared with TGF-β1 group,the expression levels of E-cadherin protein in the cells in TGF-β1+5 μmol·L-1 CHE group and TGF-β1+10 μmol·L-1 CHE group were significantly increased(P<0.01),and the expression levels of N-cadherin and Vimentin proteins were significantly decreased(P<0.01).The immunofluorescence staining results showed that compared with control group,the fluorescence intensity of E-cadherin in the cells in TGF-β1 group was decreased,and the fluorescence intensity of N-cadherin was increased;compared with TGF-β1 group,the fluorescence intensities of E-cadherin in the cells in TGF-β 1+5 μmol·L-1 CHE group and TGF-β1+10 μmol·L-1 CHE group were significantly increased,and the fluorescence intensities of N-cadherin were decreased.Conclusion:CHE can inhibit the proliferation,migration,invasion,and EMT of the human ovarian cancer SKOV3 cells.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.

Objective:To investigate the regulatory role of defferentially expressed LOC107987438 in the pathogenesis of depressive disorder and provide a theoretical basis for its clinical application in depressive disorder.Methods:Differential expression of LOC107987438 was verified by quantitative real-time polymerase chain reaction(qRT-PCR)in peripheral blood monocular cells(PBMCs)of 60 patients with depressive disorder and 60 health controls. In addition, its diagnostic value was assessed by receiver operating characteristic(ROC)curves. Based on the ceRNA mechanism of lncRNA, the miRDB database was applied to predict the target miRNAs of LOC107987438, and the miRNAs with target score ≥ 80 among them were screened out.The screened miRNAs were then used to predict their potential target mRNAs through four databases which were TargetScan 8.0, miRTarBase, mirDIP and miRPathDB. Moreover, the predicted target mRNAs were annotated for gene ontology(GO)function annotation and tokoyo encyclopedia of genes and genomes(KEGG) pathway enrichment analysis via ClusterProfiler 4.0.5 package of R 4.1.1. Finally, a protein-protein interaction network was constructed using the STRING 11.5 platform to retrieve the interacting genes.Results:The qRT-PCR results showed that normalized expression of LOC107987438 in PBMCs of patients with depressive disorder was higher than that in health controls(depressive disorder: 2.084±1.357, health controls: 1.000±0.660, P<0.001). The ROC curve results showed that the area under curves(AUC)of LOC107987438 was 0.759(95% CI: 0.675-0.842, P<0.05), indicating its high potential diagnostic value. Bioinformatics analysis showed that hsa-miR-4670-3p, hsa-miR-619-3p, hsa-miR-6721-5p and hsa-miR-297 were the miRNAs with high bindings to LOC107987438. The results of KEGG signaling pathway enrichment revealed that hypoxia-inducible factor 1(HIF-1)signaling pathway, phosphatidylinositol 3-kinase-AKT(PI3K-Akt) signaling pathway and erythroblastic oncogene B(ErbB) signaling pathway were closely associated with depressive disorder. Among the top ten key genes screened by the protein-protein interaction network, kirsten rats arcomaviral oncogene homolog(KRAS), androgen receptor(AR), cyclic-AMP response binding protein1(CREB1), insulin-like growth factor 1(IGF1), cyclin-dependent kinase inhibitor 1B(CDKN1B) and calcium/calmodulin-dependent protein kinase type Ⅱ alpha(CAMK2A)were strongly associated with depressive disorder. Conclusion:The establishment of ceRNA regulatory network of LOC107987438 provides a theoretical basis for exploring the pathophysiology of depressive disorders.

Objective:To explore the impact of parenting style on social anxiety among college students, and examine the mediating effect of core self-evaluation.Methods:From November 2022 to January 2023, a total of 1 126 college students in Harbin were taken as research subjects.Interaction anxiousness scale(IAS), short-egna minnen betraffende upfostran-Chinese(s-EMBU-C) and core self-evaluations scale(CSES) were used for analysis. Data were analyzed using SPSS 26.0 software for correlation analysis and analysis of variance.AMOS 27.0 software was used for mediation effect test.Results:Social anxiety (42.31±8.23) was negatively correlated with positive parenting style (5.44±1.45) ( r=-0.072, P<0.05) and core self-evaluation (32.12±6.01) ( r=-0.350, P<0.01), while positively correlated with negative parenting style (7.40±1.74)( r=0.302, P<0.01). Core self-evaluation was positively correlated with positive parenting style ( r=0.362, P<0.01) and negatively correlated with negative parenting style ( r=-0.346, P<0.01).Parent parenting styles had a significant mean direct effect on social anxiety of college students ( βpositive=0.098, βnegtive=0.222).Mediation analyses indicated that core self-evaluation played a masking role between positive parenting styles and social anxiety, with an absolute value of 90.82% for the ratio of indirect(-0.089) to direct effects(0.098).Core self-evaluation had partial mediating effect on negative parenting styles, with direct effect and indirect effect accounting for 73.03% and 26.97% of the total effect, respectively. Conclusion:Parenting style can either directly affect college students' social anxiety or indirectly through the mediating effect of core self-evaluations, with core self-evaluations playing a masking role in the positive parenting styles pathway.

Purpose To explore the ability of proton density fat fraction(PDFF)and decay constant T2* values in MRI to reflect skeletal muscle aging.Materials and Methods 3T MRI data of skeletal muscle in the middle thigh of 211 healthy adults from the Third Affiliated Hospital of Southern Medical University from August to December 2023 were prospectively collected.Gender,age,height,weight and body mass index(BMI)were recorded.PDFF value and T2* value of thigh skeletal muscle were measured at post-processing workstation,and statistical differences among different age,gender and BMI groups were analyzed.The correlation between PDFF value and T2* value of thigh skeletal muscle and age and BMI was analyzed.Results There were statistically significant differences in PDFF values of thigh skeletal muscle among different age groups(H=18.476-85.619,all P<0.01).There were significantly differences in T2*values of the left and right quadriceps muscles,hamstrings and adductors among different age groups(H=13.342-47.566,all P<0.05).There were statistically significant differences in the PDFF values of right quadriceps,left and right hamstring,adductor and sartor muscles between male and female groups(Z=-4.929--1.626,all P<0.05),while there were statistically significant differences in T2* values of left sartor muscle(Z=-2.971,P=0.003).There was no statistical significance in PDFF value of skeletal muscle of thigh in different BMI groups(P>0.05),but there were statistically significant differences in T2* value of left and right quadriceps muscle,hamstring muscle and adductor muscle(H=9.542-24.495,all P<0.05).There was a moderate positive correlation between age and PDFF value of thigh skeletal muscle(r=0.635,P<0.01),but a slight negative correlation with T2* value of left and right quadriceps,hamstring and sarcoleus(r=-0.451--0.189,all P<0.01).There was a slight positive correlation between BMI and T2* values of thigh skeletal muscle(r=0.317,P<0.01).There was a moderate negative correlation between the PDFF value and T2* value of all thigh skeletal muscles(r=-0.749--0.624,P<0.01).The PDFF and T2* values of the front and back thigh muscles(quadriceps,hamstring)were most significantly correlated with age and BMI.Conclusion PDFF based on MRI can reflect the age-related changes in the microenvironment of thigh skeletal muscle,and is a potential imaging biological marker for accurate and non-invasive quantitative evaluation of thigh skeletal muscle aging.