Animals ; Cdc20 Proteins/metabolism* ; Cell Line ; Embryo, Mammalian/embryology* ; Embryonic Development ; Female ; Infertility, Female/metabolism* ; Mice ; Mutation ; Oocytes/metabolism*

Purpose: Some patients with respiratory failure fail initial weaning attempts and need prolonged mechanical ventilation (MV). Prolonged MV is associated with many complications and consumption of heathcare resources. Objective weaning indices help staffs to identify high-potential patients for weaning from the MV. Traditional weaning indices are not reliable in clinical practice. Transitional percentage of minute volume (TMV%) is a new index of the work of breathing. This study aimed to investigate the utility of TMV% in the prediction of weaning potential. Methods: This study was prospectively performed including all patients with prolonged MV. Researchers recorded their demographics, TMV%, respiratory parameters, Acute Physiology and Chronic Health Evaluation II score, and laboratory data upon arrival at the respiratory care center. The factors associated with successful weaning were analyzed. Results: Out of the 120 patients included, 84 (70.0%) were successfully weaned from MV. Traditional weaning indices such as rapid shallow breathing index could not predict the weaning outcome. TMV% was a valuable parameter as patients with a lower TMV%, higher tidal volume, higher hemoglobin, lower blood urea nitrogen, and lower Acute Physiology and Chronic Health Evaluation II scores had a higher rate of successful weaning. TMV%, tidal volume, and HCO3- levels were independent predictors of successful weaning, and the area under the curve was .79 in the logistic regression model. Conclusion TMV% is a novel and effective predictor of successful weaning. Patients with lower TMV% had a higher MV weaning outcome. Once patients with a high potential for successful weaning are identified, they should be aggressively weaned from MV as soon as possible.

Objective:To investigate the functional connectivity of resting-state networks in young depressed patients with suicide attempts and its association with suicide attempt as well as to better understand the underlying neural mechanism of suicide.Methods:Hamilton Depression Scale-17 items （HAMD 17），Beck Depression Inventory （BDI）, Suicide Attitude Questionnaire （SAQ）, Barratt Impulsiveness Scale （BIS）, Beck Hopelessness Scale （BHS） and Scale for Suicide Ideation （SSI）were used to assess the severity of depressive symptoms and suicidal characteristics in 35 young depressed patients with suicide attempts (SU group), 18 patients with non-suicide attempt （NSU group） and 47 gender, age, and education matched healthy controls (HC group). The alterations of intra-and internetwork connectivity among SU, NSU and HC group were analyzed with functional magnetic resonance imaging and independent component analysis（ICA）. Pearson correlation was adopted to analyze the association between functional network connectivity and clinical psychological scales .Results:(1)There were significant differences in functional network connectivity within the default mode network （DMN），salience network (SN) and bilateral frontal-parietal network （FPN） among three groups. Compared with NSU group, SU showed significantly decreased internetwork connectivity between anterior default mode network （aDMN）, salience network （SN）（ t=-2.63, P=0.036）, and right frontal-parietal network （rFPN）( t=-3.42, P=0.048). However, enhanced internetwork connectivity between the SN and the right fronto-parietal network (rFPN) was found in SU group （ t=3.07, P=0.038）. In addition，decreased aDMN-rFPN connectivity was negatively correlated with BHS scores ( r=-0.353； P=0.037), and the differences in SN-rFPN and aDMN-pDMN connectivity were negatively associated with the HAMD score in the SU group ( r=-0.369, P=0.029； r=-0.372, P=0.028). Conclusions:These findings suggest that SU experience reorganization at the level of large-scale brain networks. Suicide attempt is correlated with abnormal functional network connectivity within and among these RSNs.

Objective:To investigate the functional connectivity of resting-state networks in young depressed patients with suicide attempts and its association with suicide attempt as well as to better understand the underlying neural mechanism of suicide.Methods:Hamilton Depression Scale-17 items （HAMD 17），Beck Depression Inventory （BDI）, Suicide Attitude Questionnaire （SAQ）, Barratt Impulsiveness Scale （BIS）, Beck Hopelessness Scale （BHS） and Scale for Suicide Ideation （SSI）were used to assess the severity of depressive symptoms and suicidal characteristics in 35 young depressed patients with suicide attempts (SU group), 18 patients with non-suicide attempt （NSU group） and 47 gender, age, and education matched healthy controls (HC group). The alterations of intra-and internetwork connectivity among SU, NSU and HC group were analyzed with functional magnetic resonance imaging and independent component analysis（ICA）. Pearson correlation was adopted to analyze the association between functional network connectivity and clinical psychological scales .Results:(1)There were significant differences in functional network connectivity within the default mode network （DMN），salience network (SN) and bilateral frontal-parietal network （FPN） among three groups. Compared with NSU group, SU showed significantly decreased internetwork connectivity between anterior default mode network （aDMN）, salience network （SN）（ t=-2.63, P=0.036）, and right frontal-parietal network （rFPN）( t=-3.42, P=0.048). However, enhanced internetwork connectivity between the SN and the right fronto-parietal network (rFPN) was found in SU group （ t=3.07, P=0.038）. In addition，decreased aDMN-rFPN connectivity was negatively correlated with BHS scores ( r=-0.353； P=0.037), and the differences in SN-rFPN and aDMN-pDMN connectivity were negatively associated with the HAMD score in the SU group ( r=-0.369, P=0.029； r=-0.372, P=0.028). Conclusions:These findings suggest that SU experience reorganization at the level of large-scale brain networks. Suicide attempt is correlated with abnormal functional network connectivity within and among these RSNs.

Objective: To investigate the effects of β2 glycoprotein Ⅰ/anti-β2 glycoprotein Ⅰ complex (β2/aβ2) on oxidized low density lipoprotein (oxLDL)-mediated lipid accumulation and focal adhesion kinase (FAK) activation in THP-1 macrophage, as well as the role of Toll-like receptor 4 (TLR4) during the process. Methods: THP-1 cells were differentiated into THP-1 macrophage by PMA (100 ng/mL). THP-1 macrophages were treated with RPMI 1640 medium, oxLDL, oxLDL+β2/aβ2 or oxLDL+lipopolysaccharide (LPS). The mRNA expressions of lipid transportation molecules, ACAT1, ABCA1 and ABCG1 were detected by RT-qPCR. Intracellular total cholesterol (TC) and free cholesterol (FC) in THP-1 macrophages were evaluated by Trinder assay, then the content and proportion of intracellular cholesteryl ester (CE) were calculated. The expression and phosphorylation of FAK were detected by immune fluorescence, RT-qPCR and western blot. To evaluate the role of TLR4, THP-1 macrophages were pre-treated with or without TLR4 inhibitor TAK-242 (1 μg/mL). Results: β2/aβ2 treatment significantly inhibited oxLDL-mediated lipid accumulation and FAK expression and phosphorylation in THP-1 macrophages, which could be reversed by TLR4 blockage. Conclusion β2/aβ2 inhibits the oxLDL-mediated lipid accumulation and FAK activation of THP-1 macrophage, which is related to the function of TLR4.