BackgroundPatients with depressive episode and schizophrenia have a high risk of suicide. The sleep electroencephalogram power spectral density characteristics of patients with depressive episode accompanied by suicidal behavior and those with schizophrenia may be different， but there is currently a lack of direct comparative studies on these two groups of patients. ObjectiveTo compare the sleep electroencephalogram power spectral density between depressive episode and schizophrenic patients with suicidal behavior， in order to provide references for exploring predictive indicators of suicidal behavior. MethodsFrom June 2018 to December 2020， 20 patients with depressive episode and 20 patients with schizophrenia who had committed suicide within the past month and were treated at the outpatient department of Shenzhen Kangning Hospital were selected. All of them met the diagnostic criteria for depressive episode or schizophrenia as defined in the International Classification of Diseases， tenth edition （ICD-10）. Using a random sampling method， 20 volunteers with matching gender and age to the patient groups were selected from the Cuiping community in Shenzhen as the control group. The subjective sleep of the patients was evaluated using the Insomnia Severity Index （ISI）， the Dysfunctional Belief and Attitude about Sleep （DBAS）， the Disturbing Dreams and Nightmare Severity Index （DDNSI）， and the Epworth Somnolence Scale （ESS）. The objective sleep of the patients was assessed using polysomnography. The sleep electroencephalogram was filtered and the power spectral density of the brain wave was analyzed and processed for all the subjects. The subjective and objective sleep conditions of the two patient groups were compared， and the sleep electroencephalogram power spectral density of the patient groups and the control group were also compared. ResultsA comparison of subjective and objective sleep conditions between patients with depressive episode accompanied by suicidal behavior and patients with schizophrenia accompanied by suicidal behavior showed no statistically significant differences （P>0.05）. Comparisons of sleep electroencephalogram power spectral density in the W stage （average power of α wave， total power of δ wave， average power of δ wave， average power of θ wave）， N1 stage （average power of β wave， total power of α wave， total power of δ wave）， N2 stage （total power of α wave， average power of α wave， total power of δ wave， average power of δ wave）， N3 stage （average power of α wave， average power of δ wave）， and R stage （total power of α wave， average power of α wave， total power of δ wave， average power of δ wave） between patients with depressive episode accompanied by suicidal behavior， patients with schizophrenia accompanied by suicidal behavior， and the control group showed statistically significant differences （P<0.05 or 0.01）. The total power of δ wave in the W stage and the average power of β wave and δ wave in the N1 stage were higher in two patient groups were higher than those of the control group. The total power of α wave and the average power of α wave in the N2 stage were lower than those of the control group， while the average power of δ wave was higher than that of the control group. The average power of α wave in the N3 stage of both patient groups were lower than that of the control group， while the average power of δ wave was higher than that of the control group. The total power and average power of α wave in the R stage were lower than those of the control group， while the total power and average power of δ wave were higher than those of the control group. All the differences were statistically significant. Patients with depressive episode accompanied by suicidal behavior had higher average powers of α wave， δ wave， and θ wave in the W stage compared with the control group， while the total power of α wave in the N1 stage was lower in the former group. All these differences were statistically significant （P<0.05）. ConclusionThe depressive episode patients accompanied by suicidal behavior have highly overlapping sleep electroencephalogram abnormal patterns with those of schizophrenia patients， mainly manifested as a general decrease in α wave power （N2， N3， R stage） and a general increase in δ wave power （W， N1， N2， N3， R stage） as well as β wave power in N1 stage. At the same time， patients with depressive episode accompanied by suicidal behavior also show specific changes， including an increase in the average power of α and θ waves during the wakefulness period （W stage）， and a decrease in the total power of α wave in N1 stage. ［Funded by Guangdong Province High-level Clinical Key Specialty （with supporting funds from Shenzhen City） （number， SZGSP013）； Shenzhen Key Medical Discipline （number， SZXK041）； Shenzhen Clinical Medicine Research Center Project （number， 20210617155253001）］

Animals ; Macaca mulatta ; Optic Disk ; Glaucoma ; Craniocerebral Trauma ; Intraocular Pressure ; Low Tension Glaucoma

Objective To explore the characteristics and significance of functional connectivity (FC) of affective network (AN) in patients with postpartum depression (PPD) under resting state. Methods A total of 23 patients with PPD (PPD group) and 28 healthy postpartum women (control group) were examined using resting-state fMRI. As two critical nodes of AN, amygdala (AMYG) and subgenual anterior cingulate cortex (sgACC) were selected as the regions of interest (ROI) to analyze the differences of functional connectivity strength (FCS) of two regions from other brain regions between two groups, followed by Pearson correlation analysis on the abnormal FCS and the Edinburgh postnatal depression scale (EPDS) score in PPD group. Results Compared to the control group, the patients in PPD group showed the extensively reduced FCS (P<0.05, Alphasim correction) between AMYG and frontal cortex, temporal cortex, hippocampus, cerebellum and orbitofrontal cortex, while there were enhanced FCS (P<0.05, Alphasim correction) between sgACC and parietal cortex, occipital cortex, thalamus, superior temporal gyrus and cingulate cortex. Moreover, in PPD group, the reduced FCS between left AMYG and left medial orbitofrontal cortex was negatively correlated with EPDS scores (r=-0.62, P=0.02). Conclusion Patients with PPD have dysfunctional connectivity of AN in multiple brain regions. The weaker FCS between left amygdala and left medial orbitofrontal cortex is, the more severe depression. The dysfunctional connectivity of AN may provide an effective mechanism-based biomarker underlying PPD.

Objective To establish a guinea pig model for diagnostic reagent of tuberculosis.Methods By single or multiple subcutaneous injection of heat-killed H37 Rv in different doses in the groin of guinea pigs to establish a model of positive response to 0.1 mL (5 IU) standard tuberculin ( TB-PPD) skin test.Results Three doses of heat-killed H37 Rv ( 0.2 mg/mL, 0.3 mg/mL and 0.5 mg/mL ) could be used to generate the model of biological diagnosis of tuberculosis.After 24 and 48 hours, the diameter of red spot by TB-PPD skin test was 15.4 ±2.3 mm when a dose of 0.2 mg/mL heat-killed H37 Rv was administered for immunizing and allergizing the guinea pigs.The biggest red spot was induced at doses of 0.3 mg/mL and 0.5 mg/mL.The test results showed that the immune response induced by multiple njection to immunizing and allergizing guinea pigs was not significantly different than that induced by single immunizing injection, and the first skin test was better than the second, third and fourth skin test (P≤0.05).In addition, the body weight of the guinea pigs was still increasing after infection with heat-killed H37 Rv, and ulcers occurred in the injection sites in some guinea pigs.Conclusions A single subcutaneous injection of 0.2 mg/mL heat-killed H37 Rv in guinea pigs can be used well to establish a reliable model for biological diagnostic reagent of tuberculosis.Increasing the sensitizing dose and multiple sensitization can not increase the intensity of the delayed-type hypersensitivity ( DTH) response.