Identification of the 2-tridecanone cis-acting element in the promoter of cytochrome P450 CYP6B7 in Helicoverpa armigera.

The expression level of cytochrome P450 genes in insects can be induced by plant allelochemicals, which is important for insects to adapt to host plants. Cytochrome P450 CYP6B7 has been reported to be involved in pyrethroid insecticide resistance in Helicoverpa armigera, and its transcription level was induced by some inducers. Currently, the regulatory mechanism of the induced expression of CYP6B7 remains unknown, although it is very important for understanding the detoxification mechanism to allelochemicals in host plants. The objective of the present study was to investigate the cis-acting element in the promoter of CYP6B7 mediating the inducible up-regulation of CYP6B7 in H. armigera by 2-tridecanone. The promoter region of CYP6B7 was cloned by genome walking technique and analyzed by transient transfection assay. Progressive 5' deletion of the promoter region of CYP6B7 revealed that the relative luciferase activity of construct -320/+232 could be significantly induced by 2-tridecanone. Further stepwise deletion between -320 and -238 bp found that construct -292/+232 could also be significantly induced by 2-tridecanone, but the adjacent construct -256/+232 could not, suggesting the essential role of the sequence between -292 and -257 bp for 2-tridecanone induction. Nucleotide mutations between -292 and -281 bp had no influence on the induction effect by 2-tridecanone, but nucleotide mutations between -280 and -257 bp significantly decreased the induction effect. These results demonstrated that the cis-acting element for 2-tridecanone induction was between -280 and -257 bp in the promoter of CYP6B7.

Clinical application of a novel computer-aided detection system based on three-dimensional CT images on pulmonary nodule.

The aim of this study was to investigate the clinical application effects of a novel computer-aided detection (CAD) system based on three-dimensional computed tomography (CT) images on pulmonary nodule. 98 cases with pulmonary nodule (PN) in our hospital from Jun, 2009 to Jun, 2013 were analysed in this study. All cases underwent PN detection both by the simple spiral CT scan and by the computer-aided system based on 3D CT images, respectively. Postoperative pathological results were considered as the "gold standard", for both two checking methods, the diagnostic accuracies for determining benign and malignant PN were calculated. Under simple spiral CT scan method, 63 cases is malignant, including 50 true positive cases and 13 false positive cases from the "gold standard"; 35 cases is benign, 16 true negative case and 19 false negative cases, the Sensitivity 1 (Se1)=0.725, Specificity1 (Sp1)=0.448, Agreement rate1 (Kappa 1)=0.673, J1 (Youden's index 1)=0.173, LR(+)1=1.616, LR(-)1=0.499. Kappa 1=0.673 between the 0.4 and 0.75, has a moderate consistency. Underwent computer-aided detection (CAD) based on 3D CT method, 67cases is malignant, including 62 true positive cases and 7 false positive cases; 31 cases is benign, 24 true negative case and 7 false negative cases, Sensitivity 2 (Se2)=0.899, Specificity2 (Sp2)=0.828, Agreement rate (Kappa 2)=0.877, J2 (Youden's index 2)=0.727, LR(+)2=5.212, LR(-)2=0.123. Kappa 2=0.877 >0.75, has a good consistency. Computer-aided PN detecting system based on 3D CT images has better clinical application value, and can help doctor carry out early diagnosis of lung disease (such as cancer, etc.) through CT images.