Objective To use Wilks' lambda discriminant analysis for screening of the greatest influence factors in tooth extraction correction and to establish a method for validation.Methods A total of 100 orthodontic patients were selected,aged 14 to 40 years,with average age of 23.6 years,29 males and 76 females.The conventional cephalometry analysis was conducted.Statistical analysis was carried out with using SPSS 18.0 software package.Wilks' lambda statistical method was applied to filter the largest effect on tooth extraction treatment project.Results The UIE-AB and NA/PA calculation results showed statistical differences (P＜0.05),and it set up a tooth extraction rectification regression equation for y =0.125 × NA/PA+0.351 × UIE-AB-3.429;a combination of the initial validation accuracy was 82.6％,and cross validation accuracy was 81.03％.Conclusions Incisor to AB line distance and angle of NA/PA are good tooth extraction judgement indexes.

Objective : To explore the role of Golgi protein ACBD3 knockdown in ferroptosis. Methods : ACBD3 knockdown via shRNA , combined with treatment of ferroptosis inducer RSL3 , cell viability , iron levels , reactive oxygen species (ROS) levels , and lipid peroxide levels in different treatment groups were measured to comprehensively analyze the role of ACBD3 in ferroptosis. Results : Compared to control cells , the levels of ROS increased in ACBD3 knockdown cells. The total iron content was significantly reduced (P < 0. 001) , while the Fe2 + concentration in ACBD3 knockdown cells increased compared to control cells (P < 0. 001) . In the presence of ferroptosis inducer RSL3 , compared to control cells , cell viability significantly decreased ( P < 0. 001) , and lipid peroxide greatly increased in ACBD3 knockdown cells ( P < 0. 001) . Conclusion Golgi protein ACBD3 knockdown in mammalian cells changes iron homeostasis and promotes ferroptosis.