Aim:To study phase Ⅱ metabolites of etofesalamide in filamentous ***:Seven fungi were screened to transform *** metabolites ofetofesalamide were assayed using liquid chromatography coupled to *** major metabolite was...
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Aim:To study phase Ⅱ metabolites of etofesalamide in filamentous ***:Seven fungi were screened to transform *** metabolites ofetofesalamide were assayed using liquid chromatography coupled to *** major metabolite was subject to enzymatic hydrolysis to con-firm its ***:Etofesalamide was converted into two phase Ⅱmetabolites:glucoside and riboside *** conjugate was themajor product with a yield greater than 90%;no phase I metabolites were ***:Glucoside and riboside conjugations of etofesalamide in filamentousfungi differ from the phase Ⅱ metabolism of glucuronidation in mammals.
Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack ...
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Background:Choosing the appropriate antipsychotic drug(APD)treatment for patients with schizophrenia(SCZ)can be challenging,as the treatment response to APD is highly variable and difficult to predict due to the lack of effective *** studies have indicated the association between treatment response and genetic and epigenetic factors,but no effective biomarkers have been ***,further research is imperative to enhance precision medicine in SCZ ***:Participants with SCZ were recruited from two randomized *** discovery cohort was recruited from the CAPOC trial(n=2307)involved 6 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,Quetiapine,Aripiprazole,Ziprasidone,and Haloperidol/Perphenazine(subsequently equally assigned to one or the other)*** external validation cohort was recruited from the CAPEC trial(n=1379),which involved 8 weeks of treatment and equally randomized the participants to the Olanzapine,Risperidone,and Aripiprazole ***,healthy controls(n=275)from the local community were utilized as a genetic/epigenetic *** genetic and epigenetic(DNA methylation)risks of SCZ were assessed using the polygenic risk score(PRS)and polymethylation score,*** study also examined the genetic-epigenetic interactions with treatment response through differential methylation analysis,methylation quantitative trait loci,colocalization,and promoteranchored chromatin *** learning was used to develop a prediction model for treatment response,which was evaluated for accuracy and clinical benefit using the area under curve(AUC)for classification,R^(2) for regression,and decision curve ***:Six risk genes for SCZ(liNC01795,DDHD2,SBNO1,KCNG2,SEma7A,and RUFY1)involved in cortical morphology were identified as having a genetic-epigenetic interaction associated with treatment *** developed and externally validated predictio
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