Objective The aim of this study was to investigate the distribution and liver-targeting properties of quercetin (QT)/coumarin 6 (C6)-loaded polylactic-co-glycolic acid-D-α-tocopherol polyethylene glycol 1000 succinate (PLGA-TPGS) nanoparticles (QCPTN) in a hepatocarcinoma ectopic transplantation solid tumor model using HCa-F cell-bearing mice.Methods The QT concentrations in biological samples were determined using reverse phase-high performance liquid chromatography (RP-HPLC) analysis.After intravenous administration to mice in the QCPTN and QTS groups,the QT concentration in plasma and in different tissues was simultaneously analyzed at the different time points.Detection indexes (relative targeting efficiency,Re;targeting efficiency,Te) and fluorescence inversion microscopy images of the frozen tissue (liver,solid tumor,spleen,lungs,kidneys,and heart) slices were used for quantitatively and qualitatively evaluating the liver-targeting properties of QCPTN in solid tumor-bearing mice.Results Te of the QCPTN group in the plasma,liver,solid tumor,spleen,lungs,kidneys,and heart were all greater than 3,indicating that the area under the concentration-time curve (AUC) of liver was more than three times that of the plasma and other organs.Fluorescence inversion microscopy images showed that the green fluorescence of QCPTN was mostly observed in the liver.Conclusion Using HCa-F cell-beating mice,QCPTN was found to have better in vivo liver-targeting properties in hepatocarcinoma ectopic transplantation solid tumor.

Objective: To investigate the status of insomnia, Internet addiction, and depressive symptoms among medical students and to analyze the effect of Internet addiction on insomnia and the mediating role of depressive symptoms, in order to provide a basis for the development of targeted interventions and measurements for medical students. Methods: A stratified whole group sampling method was used to select full-time college students from three medical universities in Anhui Province. The Chinese version of Insomnia Severity Index (ISI), Internet Addiction Test (IAT) scale and 9-item Patient Health Questionnaire (PHQ-9) were used to evaluate the symptoms of insomnia, Internet addiction and depressive in students. A multivariate Logistic regression analysis was used to explore the factors influencing insomnia among medical students and to analyze the relationship between insomnia with Internet addiction and depressive symptoms, respectively. Results: The overall rate of Internet addiction was 49.5%, depressive symptoms was 39.5%, insomnia was 18.6%. High academic stress, and the presence of surrounding people diagnosed with COVID-19 were associated with a higher risk of insomnia ( P <0.05). The higher the level of Internet addiction (mild, OR =2.60; moderate/severe, OR =4.21) and depression. (mild, OR =6.35; moderate/severe, OR =19.32), the higher the risk of insomnia. Mediated effect analysis showed that Internet addiction had a direct predictive effect ( β =0.02, P <0.05) on insomnia and also indirectly affected insomnia through depression (indirect effect=0.07，95% CI =0.06-0.08). Conclusion The detected rates of insomnia, Internet addiction and depressive symptoms are high among medical students in Anhui Province, and Internet addiction and depressive symptoms are risk factors for insomnia, which should be given more attention and appropriate interventions when necessary to improve their physical and mental health.

Objective:To explore the correlation between attempted suicide and childhood trauma as well as inflammatory cytokines levels in adolescents with depressive disorder.Methods:From January to December 2021, a total of 164 adolescents with depressive disorder were included and categorized into attempted suicide group ( n=108) and non-attempted suicide group ( n=56) according to whether they accompanied attempted suicide or not. The Chinese version of the suicide module of MINI 5.0, the childhood trauma questionnaire(CTQ), and the center for epidemiological studies depression scale (CES-D) were used to assess suicidal behavior, childhood trauma and depressive symptoms, while the plasma inflammatory cytokines levels were measured by electrochemiluminescence technology. The data were statistically analyzed by SPSS 23.0 software. Logistic regression was applied to analyze the independent influencing factors of attempted suicide and the predictive value of each independent risk factor for attempted suicide was assessed by receiver operating characteristic curve(ROC) curves. Results:The prevalence of attempted suicide was 65.9%(108/164) in adolescents with depressive disorder.The univariate analyses showed that the total CTQ score ((55.19±12.44), (45.50±12.11)) ( t=-4.771, P<0.001), CES-D total score ((40.75±10.26), (32.98±13.39)) ( t=-4.131, P<0.001), IL-6 level(1.87 (1.32, 2.69) pg/mL, 1.56 (1.05, 1.87) pg/mL)( Z=-3.102, P=0.002), IL-10 level (0.53 (0.38, 0.83) pg/mL, 0.47 (0.31, 0.69) pg/mL) ( Z=-2.100, P=0.036) and IL-17A level (2.20 (1.52, 3.65) pg/mL, 1.67 (1.25, 2.97) pg/mL) ( Z=-2.254, P=0.024) in plasma of patients in the attempted suicide group were significantly higher than those in non-attempted suicide group. Logistic stepwise regression analyses showed that CTQ total score, IL-6, IL-10, and IL-17A were risk factors for attempted suicide in adolescents with depressive disorder.The ROC showed that the total score of CTQ combined with IL-6 (AUC=0.782, 95% CI=0.709-0.855, P<0.001), the total score of CTQ combined with IL-10 (AUC=0.765, 95% CI=0.688-0.841, P<0.001), and the total score of CTQ combined with IL-17A (AUC=0.762, 95% CI=0.684-0.840, P<0.001) had a larger area under the curve, indicating better recognition and prediction ability for attempted suicide, with high sensitivity and specificity. Conclusion:The incidence of attempted suicide in adolescents with depressive disorder is high, and which is closely related to childhood trauma and the levels of inflammatory cytokines.