Objective:To explore the effect of childhood traumatic experience and impulsive traits on symptom dimensions in patients with obsessive-compulsive disorder(OCD).Methods:A cross-sectional study was performed to enroll 134 patients with obsessive-compulsive disorder diagnosed by DSM-Ⅳ and 82 healthy controls to match. The obsessive compulsive inventory-revised(OCI-R) questionnaire, and the Barratt impulsiveness scale (BIS-11) and Childhood trauma questionnaire-short form(CTQ-SF) were used to assess the symptom dimensions, impulsive traits, and childhood trauma levels of two groups.The Yale-Brown Obsessive-compulsive Scale (Y-BOCS) was used to assess severity of disease in OCD patients. The scores of each dimension of obsessive-compulsive symptoms were used as dependent variables. The impulse characteristics of different components and childhood trauma scores were independent variables. Multivariate regression analysis was used to explore the influence of impulsive traits and childhood trauma on obsessive-compulsive symptoms.Results:The scores of OCD patients in nonplanning impulsivity (26.80±4.57), attentional impulsivity(18.96±3.51), emotional abuse(6 (5, 9)), physical abuse (5(5, 6)), emotional neglect (11 (9, 14)) were higher than those in healthy controls ((24.39±4.15), (16.18±2.76), 6 (5, 7), 5 (5, 5), (10.00±3.42) respectively) ( P<0.05, P<0.01). Each subscore of OCI-R in patients with OCD was significantly higher than those in healthy controls (all P<0.01). Multiple regression analysis indicated that the ordering scores of obsessive-compulsive patients was affected by attentional impulsivity and physical neglect ( B=0.191, P=0.011; B=0.273, P=0.005). The emotional abuse was the major impact factor of the hoarding symptom ( B=0.204, P=0.002). The score of obsessions was affected by attentional impulsivity and emotional abuse ( B=0.499, P<0.01; B=0.175, P=0.008). The scores of neutralizing were influenced by attentional impulsivity and physical neglect ( B=0.365, P<0.01; B=0.199, P=0.034). Conclusion:Childhood trauma and attentional impulsivity of OCD patients have different effects on different obsessive-compulsive symptoms.

Objective:To investigate the role of interleukin-13(IL-13), interleukin-13 receptor α2(IL-13Rα2) and 11 β -hydroxysteroid dehydrogenase 2(11βHSD2) signaling pathway in liver metastasis of colon cancer and its mechanism.Methods:A retrospective case-control study was conducted to analyze the clinical data of 80 patients with colorectal cancer who were operated in Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology from January 2015 to December 2018.All patients were followed up by clinic or telephone until August 30, 2019.According to the occurrence of liver metastasis, the patients were divided into metastasis group ( n=22) and non metastasis group ( n=58). Real-time fluorescence quantitative Polymerase Chain Reaction(PCR) and Western blotting were used to detect and compare the mRNA relative expression and protein expression of IL-13, IL-13Rα2, 11βHSD2, cyclooxygenase 2(COX 2) and protein kinase B in cancer tissues and cancer adjacent tissues. Glycyrrhetinic acid, an inhibitor of 11 β HSD2, was used to inhibit the activity of 11hsd2 in human colon cancer cell line HCT-8.The mRNA relative expression and protein expression of IL-13, IL-13Rα2, 11βHSD2, COX 2 and protein kinase B were detected by real-time fluorescence quantitative PCR and Western blotting before and 24 hours after glycyrrhetinic acid addition. Results:The mRNA relative expression of IL-13(0.79±0.11, 0.40±0.10), IL-13Rα2(0.72±0.13, 0.46±0.11), 11βHSD2(0.84±0.26, 0.60±0.08), COX 2(0.70±0.25, 0.37±0.04), protein kinase B (0.76±0.13, 0.42±0.06) in colon cancer tissues of metastatic and non metastatic groups were higher than those in cancer adjacent tissues(0.09±0.01, 0.10±0.06, 0.09±0.02, 0.09±0.03, 0.09±0.01, 0.09±0.02, 0.13±0.02, 0.12±0.07, 0.05±0.02, 0.05±0.03). The difference was statistically significant (t value was 28.36, 23.20, 22.07, 24.88, 16.47, 16.47, 47.86, 18.55, 24.55, 26.20, 44.40, all P<0.001). The protein expression of IL-13(0.48±0.11, 0.32±0.07), IL-13Rα2(0.52±0.11, 0.36±0.11), 11βHSD2(0.63±0.12, 0.48±0.11), COX2(0.45±0.15, 0.27±0.09), protein kinase B(0.50±0.12, 0.29±0.08) in colon cancer tissues of metastatic and non metastatic groups were higher than those in cancer adjacent tissues(0.12±0.02, 0.13±0.01, 0.10±0.02, 0.10±0.02, 0.14±0.06, 0.13±0.05, 0.10±0.03, 0.10±0.04, 0.10±0.03, 0.10±0.02). The difference was statistically significant ( t value were 15.63, 21.15, 17.71, 17.28, 11.01, 18.14, 10.55, 13.12, 15.76 and 18.90 respectively, all P<0.001). The relative expression of mRNA and protein in metastasis group was higher than that in non metastasis group ( t=15.15, 3.01, 8.97, 2.52, 6.34, 2.26, 9.82, 2.52, 16.02, 3.57, respectively, all P< 0.05). Compared with that those of before glycyrrhetinic acid addition, after 24 hours of glycyrrhetinic acid addition, the mRNA relative expression and protein expression of IL-13, IL-13Rα2 had no significant change (all P>0.05), while the mRNA relative expression and protein expression of COX 2 and protein kinase B(before adding: 0.725±0.159, 0.639±0.162, 0.741±0.178, 0.668±0.145, after adding: 0.108±0.085, 0.116±0.048, 0.122±0.063, 0.119±0.066) were decreased( t value were 18.744, 16.954, 17.956, 18.875 respectively , all P<0.01). Conclusion:The activation of IL-13/IL-13α2/11βHSD2 signaling pathway can promote liver metastasis of colon cancer.The mechanism may be that 11βHSD2 over expression promotes cancer cells invasion and migration-related COX2 expression and PI3K/protein kinase B pathway, and promotes liver metastasis of colon cancer.

Objective To investigate the pollution of antibiotic resistance genes (ARGs) in the Lhasa River and provide a scientific basis for the safety of drinking water for the regional population and the prevention and control of water environment pollution. Methods A total of five water samples were collected in the Lhasa River in July 2022. Using quantitative real-time polymerase chain reaction (qPCR) assay, 19 types of ARGs, including eight ^“last-resort^” ARGs (LARGs) were detected and analyzed. Statistical analysis was conducted using the SPSS 22.0 software, and Student's t-test was used to compare data between two groups. Results All the 19 ARGs were detected with high frequencies, with the aminoglycoside resistance gene aadA having the highest concentration, followed by the sulfonamide resistance gene sul1 and the macrolide resistance gene ermB. Among the eight LARGs, the carbapenem resistance gene blaOXA-48 had the highest concentration. The absolute and relative concentrations of LARGs were lower than those of common ARGs. There was a statistically significant difference in the absolute concentrations between them, but no significant difference was observed in the relative concentrations. Conclusion Both ^“conventional^” ARGs and LAGRs have been detected in the Lhasa River. Although they are at a relatively low level compared to other domestic waters, in view of the serious adverse effects that ARGs, especially LARGs, may cause, the pollution of ARGs in the Lhasa River should be taken seriously.