OBJECTIVE The inhibitory effect of active ingredients of Tripterygium wilfordii Hook.F.(TWHF)(celastrol,triptolide,triptonide,wilforlide A,wilforgine and wilforine)on human carboxylester⁃ase 1(CES1)and CES2 was detect...OBJECTIVE The inhibitory effect of active ingredients of Tripterygium wilfordii Hook.F.(TWHF)(celastrol,triptolide,triptonide,wilforlide A,wilforgine and wilforine)on human carboxylester⁃ase 1(CES1)and CES2 was detected to investigate the herb-drug interactions(HDIs)of TWHF.METHODS Human liver microsomes catalysed hydrolysis of 2-(2-benzoyl-3-methoxyphenyl)benzothi⁃azole(BMBT)and fluorescein diacetate(FD)were used as the probe reaction to phenotype the activity of CES1 and CES2,respectively.The residual activities of CES1 and CES2 were detected by ultrahigh performance liquid chromatography(UPLC)after intervention with celastrol,triptolide,triptonide,wilforlide A,wilforgine and wilforine(100μmol·L^(-1)).Kinetics analysis,involving half inhibitory concentra⁃tion(IC_(50)),inhibition type and kinetic parameter(Ki),and in vitro-in vivo extrapolation(IVIVE),was carried out to predict the HDIs between these compounds and CES-metabolizing drugs.Molecular docking was performed to analyze the ligand-enzyme interaction.RESULTS Out of the six main con⁃stituents of TWHF,only celastrol exhibited strong inhibition towards both CES1 and CES2,with the inhibitory rates of 97.45%(P<0.05)and 95.62%(P<0.05),respectively.The IC_(50)was 9.95 and 4.02 mol·L^(-1),respectively,and the types of inhibition were all non-competitive inhibition.Based on the kinetics analysis,the Ki values were calculated to be 5.10 and 10.55μmol·L^(-1)for the inhibition of celastrol on CES1 and CES2,respectively.IVIVE indicated that celastrol might disturb the metabolic hydrolysis of clinical drugs in vivo by inhibiting CES1.Molecular docking results showed that hydrogen bonds and hydrophobic contacts contributed to the interaction of celastrol and CESs.CONCLUSION The inhibitory effect of celastrol on CES1 and CES2 might cause HDIs with clinical drugs hydrolysed by CESs.展开更多
Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quan...Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quantitative CT(QCT)BMD examination were retrospectively enrolled and divided into training set(n=304)and test set(n=76)at a ratio of 8∶2.The mean BMD of L1—L3 vertebrae were measured based on QCT.Spongy bones of T5—T10 vertebrae were segmented as ROI,radiomics(Rad)features were extracted,and machine learning(ML),Rad and deep learning(DL)models were constructed for classification of osteoporosis(OP)and evaluating BMD,respectively.Receiver operating characteristic curves were drawn,and area under the curves(AUC)were calculated to evaluate the efficacy of each model for classification of OP.Bland-Altman analysis and Pearson correlation analysis were performed to explore the consistency and correlation of each model with QCT for measuring BMD.Results Among ML and Rad models,ML Bagging-OP and Rad Bagging-OP had the best performances for classification of OP.In test set,AUC of ML Bagging-OP,Rad Bagging-OP and DL OP for classification of OP was 0.943,0.944 and 0.947,respectively,with no significant difference(all P>0.05).BMD obtained with all the above models had good consistency with those measured with QCT(most of the differences were within the range of Ax-G±1.96 s),which were highly positively correlated(r=0.910—0.974,all P<0.001).Conclusion AI models based on non-contrast chest CT had high efficacy for classification of OP,and good consistency of BMD measurements were found between AI models and QCT.展开更多
Alzheimer's disease(AD)is a prevalent neurodegenerative disease characterized by cognitive decline in the early stage.Mild cognitive impairment(MCI)is considered as an intermediate stage between normal aging and A...Alzheimer's disease(AD)is a prevalent neurodegenerative disease characterized by cognitive decline in the early stage.Mild cognitive impairment(MCI)is considered as an intermediate stage between normal aging and AD.In recent years,studies related to resting-state functional MRI(rs-fMRI)indicated that the occurrence and development process of MCI and AD might be closely linked to spontaneous brain activity and alterations in functional connectivity among brain regions,and rs-fMRI could provide important reference for specific diagnosis and early treatment of MCI and AD.The research progresses of rs-fMRI for MCI and AD were reviewed in this article.展开更多
文摘OBJECTIVE The inhibitory effect of active ingredients of Tripterygium wilfordii Hook.F.(TWHF)(celastrol,triptolide,triptonide,wilforlide A,wilforgine and wilforine)on human carboxylester⁃ase 1(CES1)and CES2 was detected to investigate the herb-drug interactions(HDIs)of TWHF.METHODS Human liver microsomes catalysed hydrolysis of 2-(2-benzoyl-3-methoxyphenyl)benzothi⁃azole(BMBT)and fluorescein diacetate(FD)were used as the probe reaction to phenotype the activity of CES1 and CES2,respectively.The residual activities of CES1 and CES2 were detected by ultrahigh performance liquid chromatography(UPLC)after intervention with celastrol,triptolide,triptonide,wilforlide A,wilforgine and wilforine(100μmol·L^(-1)).Kinetics analysis,involving half inhibitory concentra⁃tion(IC_(50)),inhibition type and kinetic parameter(Ki),and in vitro-in vivo extrapolation(IVIVE),was carried out to predict the HDIs between these compounds and CES-metabolizing drugs.Molecular docking was performed to analyze the ligand-enzyme interaction.RESULTS Out of the six main con⁃stituents of TWHF,only celastrol exhibited strong inhibition towards both CES1 and CES2,with the inhibitory rates of 97.45%(P<0.05)and 95.62%(P<0.05),respectively.The IC_(50)was 9.95 and 4.02 mol·L^(-1),respectively,and the types of inhibition were all non-competitive inhibition.Based on the kinetics analysis,the Ki values were calculated to be 5.10 and 10.55μmol·L^(-1)for the inhibition of celastrol on CES1 and CES2,respectively.IVIVE indicated that celastrol might disturb the metabolic hydrolysis of clinical drugs in vivo by inhibiting CES1.Molecular docking results showed that hydrogen bonds and hydrophobic contacts contributed to the interaction of celastrol and CESs.CONCLUSION The inhibitory effect of celastrol on CES1 and CES2 might cause HDIs with clinical drugs hydrolysed by CESs.
文摘Objective To observe the value of artificial intelligence(AI)models based on non-contrast chest CT for measuring bone mineral density(BMD).Methods Totally 380 subjects who underwent both non-contrast chest CT and quantitative CT(QCT)BMD examination were retrospectively enrolled and divided into training set(n=304)and test set(n=76)at a ratio of 8∶2.The mean BMD of L1—L3 vertebrae were measured based on QCT.Spongy bones of T5—T10 vertebrae were segmented as ROI,radiomics(Rad)features were extracted,and machine learning(ML),Rad and deep learning(DL)models were constructed for classification of osteoporosis(OP)and evaluating BMD,respectively.Receiver operating characteristic curves were drawn,and area under the curves(AUC)were calculated to evaluate the efficacy of each model for classification of OP.Bland-Altman analysis and Pearson correlation analysis were performed to explore the consistency and correlation of each model with QCT for measuring BMD.Results Among ML and Rad models,ML Bagging-OP and Rad Bagging-OP had the best performances for classification of OP.In test set,AUC of ML Bagging-OP,Rad Bagging-OP and DL OP for classification of OP was 0.943,0.944 and 0.947,respectively,with no significant difference(all P>0.05).BMD obtained with all the above models had good consistency with those measured with QCT(most of the differences were within the range of Ax-G±1.96 s),which were highly positively correlated(r=0.910—0.974,all P<0.001).Conclusion AI models based on non-contrast chest CT had high efficacy for classification of OP,and good consistency of BMD measurements were found between AI models and QCT.
文摘Alzheimer's disease(AD)is a prevalent neurodegenerative disease characterized by cognitive decline in the early stage.Mild cognitive impairment(MCI)is considered as an intermediate stage between normal aging and AD.In recent years,studies related to resting-state functional MRI(rs-fMRI)indicated that the occurrence and development process of MCI and AD might be closely linked to spontaneous brain activity and alterations in functional connectivity among brain regions,and rs-fMRI could provide important reference for specific diagnosis and early treatment of MCI and AD.The research progresses of rs-fMRI for MCI and AD were reviewed in this article.
