Objective To investigate the effect of a novel isoflavone compound(F11) on the plasma lipid and cholesterol of the ovarectomied rat.Methods Female SD rats at age of 3 months old were randomly divided into 6 groups,that is,sham operation group(Sham),normal saline group(2 ml/d),estradiol group(E2,50 ?g?kg-1?d-1),and 3 F11 groups(15,50,150 mg?kg-1?d-1).Besides the Sham group,the ovary of the rats from other groups were resected,and received the injection as above mentioned.All rats were killed 10 weeks later,and their plasma lipid,total cholesterol,LDL,HDL,and body weight and uterine weight were measured.Results The plasma lipid,total cholesterol,LDL,HDL were significantly different in normal saline group and 4 treatment group(P

ObjectiveTo investigate the effects of photodynamic therapy(PDT) on the activity and structure of the dental plaque biofilm formed by the main cariogenic bacteria.MethodsS.mutans,S.sangius,L.acidophilus and A.viscosus were chosen as the experimental bacteria to establish dental plaque biofilm model.They were separated into three groups:group of PDT、group of chlorhexidine and group of normal saline.The influence of the dental plaque biofilms was observed according to plate counting of bacteria method.The changes in the structure of biofilms after PDT were analyzed by means of confocal laser scanning microscopy.Results Compared to normal saline group,chlorhexidine cariogenic bacteria (CFU/ml) in plaque biofilms significantly reduced (P＜0.05),with the bactericidal rate 57.84％.After PDT treatment against artificial caries model,the number of cariogenic bacteria (CFU/ml) in plaque biofilms reduced more significantly (P＜0.05),the bactericidal rate up to 94.92％,and the structure of dental plaque biofilns changed evidently.ConclusionPDT is an effective method in eliminate cariogenic bacteria of dental plaque biofilms and to destroy the integrity of dental plaque biofilms,and it is a promising method for elimination of dental plaque and prevention of caries.

Objective To assess the effect of ultrasonic thyroid artificial intelligence(AI)-assisted diagnostic system(AI-assisted diagnostic system)for diagnosing medullary thyroid carcinoma(MTC)compared with different physicians and taken papillary thyroid carcinoma(PTC)as the controls.Methods Totally 63 MTC,70 PTC and 62 benign thyroid nodules confirmed by pathology were enrolled.AI-assisted diagnostic system was utilized to analyze thyroid nodules and identify the likelihood of malignancy,and the probability value threshold was set at ≥0.40.All thyroid nodules were retrospectively reviewed and categorized by 3 physicians(1 senior physician,1 attending physician and 1 junior physician)according to Chinese thyroid imaging reporting and data system(C-TIRADS).The efficacy of AI-assisted diagnostic system and physicians for diagnosing MTC and PTC were evaluated.Results AI-assisted diagnostic system showed lower sensitivity,specificity,positive predictive value,negative predictive value,accuracy,and area under the curve(AUC)for diagnosing MTC and PTC compared with physicians.Significant differences of AUC were found between senior physician and AI-assisted diagnostic system,as well as between attending physician and AI-assisted diagnostic system for diagnosing MTC and PTC(all P＜0.01),while no significant difference of AUC was between junior physicians and AI-assisted diagnostic system(both P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy and AUC for AI-assisted diagnostic system for diagnosing MTC were all lower than those for diagnosing PTC,but the AUC was not significantly different(P＞0.05).Conclusion Ultrasonic thyroid AI-assisted diagnostic system had relatively high value for diagnosing MTC.