PXR mediated elevation of CYP3A4 expression is a costly problem in drug development as well as a clinical problem due to clinically important drug interactions caused by the enzyme induction. CYP3A4 is responsible for the metabolism of more than 50% of the drugs commonly used today. Many of these, as well as other compounds e.g. in herbal medicines can induce transcription of CYP3A4 and thereby enhance the metabolism of other drugs, rendering them ineffective or more toxic. By using an in vitro assay for CYP3A4 induction, tests can be performed on candidate drugs early in development and thereby save time and resources since CYP3A4 inducers are eliminated from further development. A reporter gene assay was constructed by inserting three modules, which includes PXR binding sites isolated from the CYP3A4 sequence, in front of a luciferase gene. This construct was transfected together with PXR into HEK 293 cells. Induction was evoked by adding rifampicin, a known CYP3A4 inducer, to the medium. After lysis of the HEK cells and addition of luciferase substrate, luminescence intensity was recorded as a measure of induction. The construct worked and consistently showed induction by rifampicin, but could be further improved to yield higher sensitivity.

<p>PXR mediated elevation of CYP3A4 expression is a costly problem in drug development as well as a clinical problem due to clinically important drug interactions caused by the enzyme induction. CYP3A4 is responsible for the metabolism of more than 50% of the drugs commonly used today. Many of these, as well as other compounds e.g. in herbal medicines can induce transcription of CYP3A4 and thereby enhance the metabolism of other drugs, rendering them ineffective or more toxic. By using an in vitro assay for CYP3A4 induction, tests can be performed on candidate drugs early in development and thereby save time and resources since CYP3A4 inducers are eliminated from further development. A reporter gene assay was constructed by inserting three modules, which includes PXR binding sites isolated from the CYP3A4 sequence, in front of a luciferase gene. This construct was transfected together with PXR into HEK 293 cells. Induction was evoked by adding rifampicin, a known CYP3A4 inducer, to the medium. After lysis of the HEK cells and addition of luciferase substrate, luminescence intensity was recorded as a measure of induction. The construct worked and consistently showed induction by rifampicin, but could be further improved to yield higher sensitivity.</p>

Introdução: As CYP3A4 e CYP3A5 são enzimas do citocromo P450 responsáveis pela biotransformação de esteróides endógenos e vários fármacos, entre eles as estatinas. Polimorfismos nos genes CYP3A4 e CYP3A5 (CYP3A4*1B, CYP3A5*3C e CYP3A5*1D) foram associados com diferenças na resposta hipolipemiante de indivíduos tratados com atorvastatina e sinvastatina. Neste estudo foram avaliados os efeitos de hipolipemiantes sobre a expressão e a atividade de CYP3A4 e CYP3A5, em linhagens celulares HepG2 e Caco-2 e em CMSP de indivíduos hipercolesterolêmicos, e sua relação com variantes de CYP3A4 e CYP3A5. Métodos: Foram analisados 99 indivíduos normolipidêmicos (NL) e 139 hipercolesterolêmicos (HC). Os HC foram tratados com atorvastatina (10 mg/dia/4 semanas). A genotipagem das variantes CYP3A4*1B, CYP3A5*3C e CYP3A5*1D foi feita por PCR-RFLP ou sequenciamento. A análise da expressão de RNAm de CYP3A4 e CYP3A5 foi avaliada por PCR em tempo real quantitativo (PCRq). As proteínas totais de HepG2 foram avaliadas por Western Blotting. A atividade de CYP3A4 e CYP3A5 in vivo foi avaliada pela relação entre cortisol e seu metabólito, 6&#946;-hidróxicortisol, na urina (razão 6&#946;OH-cortisol/cortisol), por CLAE. Resultados: O perfil de expressão basal de RNAm de CYP3A4 e CYP3A5 é diferente entre HepG2 e Caco-2. Caco-2 expressa 31 vezes mais CYP3A4 e 122 vezes mais CYP3A5 que HepG2. Em células HepG2 tratadas por 12 h, a atorvastatina 20 &#181;M aumentou a expressão de CYP3A4 em 10 vezes, em relação ao controle (p=0,006). Após 24 h de tratamento, atorvastatina (1-20 &#181;M) aumentou a expressão de CYP3A4 em 5 a 8 vezes, nas HepG2 (p< 0,001). Para CYP3A5, a exposição por 12 h à atorvastatina 20 &#181;M aumentou a expressão em 4 vezes em relação ao controle ( p<0,001). A exposição à sinvastatina 1,0 &#181;M por 24 h aumentou a expressão de CYP3A4, em 2 vezes (p<0,01), em HepG2. Também se observou que, nesse tempo de tratamento, a sinvastatina (0,1 &#181;M a 10 &#181;M) aumentou a expressão de CYP3A5 em 2 a 4 vezes (p<0,05). A linhagem HepG2 apresenta alelos funcionais (CYP3A4*1A e CYP3A5*1A) em homozigose. A linhagem Caco-2 apresenta os alelos não funcionais CYP3A5*3C e CYP3A5*1D, em heterozigose. Também foi avaliada a expressão das proteínas CYP3A4 e CYP3A5 por Western Blotting, em células HepG2, após atorvastatina (0,1 a 20 &#181;M) e sinvastatina (0,01 a 10 &#181;M) por 12 e 24 h. O perfil de expressão das proteínas não diferiu com os tratamentos. Nas células mononucleares do sangue periférico (CMSP), a expressão de RNAm basal de CYP3A4 é cerca de 2,5 a 9,6 vezes maior que a expressão de CYP3A5 (p< 0,05). Observou-se correlação da expressão de CYP3A4 e CYP3A5 nessas células, antes (r2 = 0,22; p< 0,0001) e após o tratamento (r2 = 0,58; p<0,0001) com atorvastatina. A expressão basal de RNAm de CYP3A4 e CYP3A5 é maior nos indivíduos (NL) que nos indivíduos (HC) (p<0,05). A atorvastatina não influenciou a expressão de CYP3A4 e CYP3A5 em CMSP (p> 0,05). Os indivíduos NL apresentam atividade de CYP3A4 e CYP3A5 basal maior que os indivíduos HC- (p<0,0001). O tratamento com atorvastatina não alterou a atividade de CYP3A4 e CYP3A5 nos HC (p>0,05). As variantes gênicas estudadas (CYP3A4*1B, CYP3A5*3C e CYP3A5*1D) como grupos haplotípicos não afetaram a resposta ao tratamento, a expressão de RNAm ou a atividade de CYP3A4 e CYP3A5, embora o haplótipo AGT tenha expressão basal de RNAm de CYP3A5 menor que os portadores de haplótipos GAT e GAC (p<0,005). Conclusão: Os resultados deste trabalho nos permitem concluir que a atorvastatina e a sinvastatina, mas não a ezetimiba, influenciam a expressão de CYP3A4 e CYP3A5 in vitro, em linhagem derivada de hepatócitos (HepG2), e que este efeito não foi reproduzido em linhagem derivada de enterócitos (Caco-2). A expressão de CYP3A4 e CYP3A5 tem grande variabilidade interindividual, independente do grupo haplotípico de cada indivíduo, e que não é influenciada pela atorvastatina. / Background: CYP3A4 and CYP3A5 are enzymes from the cytochrome P450 resposible for the biotransformation of endogenous steroids and several drugs, e.g. statins. Polymorphisms in CYP3A4 and CYP3A5 (CYP3A4*1B, CYP3A5*3C and CYP3A5*1D) have been associated with variation of lipid-lowering response in individuals treated with atorvastatin and simvastatin. In this study we evaluated the effect of hypolipemiants on expression and activity of CYP3A4 and CYP3A5, in HepG2 and Caco-2 cell lines as well as peripheral blood mononuclear cells (PBMC) in hypercholesterolemic individuals, and their relationship with CYP3A4 and CYP3A5 variants. Methods: We analyzed 99 normolipidemic individuals (NL) and 139 hypercholesterolemic (HC). HC subjects were treated with atorvastatin (HC, 10 mg/day/4 weeks). Analysis of CYP3A4*1B, CYP3A5*3C e CYP3A5*1D variants was performed with PCR-RFLP or sequencing assays and mRNA expression of CYP3A4 and CYP3A5 with Quantitative Real-time PCR (qRT-PCR) was performed . Total protein content was extracted from HepG2 for Western Blotting experiments. Activity of CYP3A4 and CYP3A5 in vivo was evaluated by 6&#946;OH-cortisol and cortisol ratio in urine samples, by HPLC-UV method. Results: Baseline mRNA expression is different for HepG2 and Caco-2. Caco-2 expresses 31 times more CYP3A4 and 122 times more CYP3A5 than HepG2. In HepG2 cells treated for 12h, atorvastatin 20 &#181;M increased CYP3A4 expression in 10 times, when compared to the control (p=0.006). After 24h treatment, atorvastatin (1-20 &#181;M) increased CYP3A4 mRNA expression in 5 to 8 times, in HepG2 (p< 0.001). To CYP3A5, exposure for 12h to atorvastatin 20 &#181;M increased expression in 4 times when compared to the control (p<0.001). Exposure to simvastatin 1.0 &#181;M for 24 h increased CYP3A4 expression in 2 times, (p<0.01), in HepG2. With the 24h treatment,simvastatin (0.1 &#181;M - 10 &#181;M) CYP3A5 showed increased mRNA expression in 2 to 4 times (p<0.05). HepG2 cell line carries homozygous functional alleles (CYP3A4*1A e CYP3A5*1A). Caco-2 carries heterozygous CYP3A5*3C and CYP3A5*1D. We evaluated the protein expression of CYP3A4 and CYP3A5 with Western Blotting in HepG2 cells, after atorvastatin (0.1 - 20 &#181;M) and simvastatin (0.01 - 10 &#181;M) for 12 and 24 h. The proteins profile did not change with statins treatment. In PBMC, baseline mRNA expression of CYP3A4 is approximately 2.6 to 9.5 times higher than CYP3A5 (p< 0.05). There was a correlation in expression between CYP3A4 and CYP3A5, before (r2 = 0.22; p< 0.0001) and after treatment (r2 = 0.58; p<0.0001) with atorvastatin. Baseline mRNA expression of CYP3A4 and CYP3A5 is higher in (NL) than in (HC) (p<0.05). Atorvastatin treatment did not increase CYP3A4 and CYP3A5 mRNA in PBMC (p>0.05). CYP3A4/5 activity was higher in NL subjects than in HC (p<0.0001). Atorvastatin treatment did not affect CYP3A4/5 activity in HC (p>0.05). The studied variants CYP3A4*1B, CYP3A5*3C e CYP3A5*1D analyzed as a haplotype block did not affect response to treatment, mRNA expression or activity of CYP3A4 and CYP3A5. However, AGT haplotype showed lower CYP3A5 mRNA expression levels when compared to GAC and GAT haplotypes at baseline (p<0.05). Conclusion: The results of this study allow us to conclude that atorvastatin and simvastatin, but not ezetimibe, influence the expression of CYP3A4 and CYP3A5 mRNA in vitro in HepG2 cell line, but this effect was not reproduced in Caco-2 cell line or PBMC. CYP3A4 and CYP3A5 present great interindividual variability, despite the individual´s haplotype and is not influenced by atorvastatin.

Introdução: As CYP3A4 e CYP3A5 são enzimas do citocromo P450 responsáveis pela biotransformação de esteróides endógenos e vários fármacos, entre eles as estatinas. Polimorfismos nos genes CYP3A4 e CYP3A5 (CYP3A4*1B, CYP3A5*3C e CYP3A5*1D) foram associados com diferenças na resposta hipolipemiante de indivíduos tratados com atorvastatina e sinvastatina. Neste estudo foram avaliados os efeitos de hipolipemiantes sobre a expressão e a atividade de CYP3A4 e CYP3A5, em linhagens celulares HepG2 e Caco-2 e em CMSP de indivíduos hipercolesterolêmicos, e sua relação com variantes de CYP3A4 e CYP3A5. Métodos: Foram analisados 99 indivíduos normolipidêmicos (NL) e 139 hipercolesterolêmicos (HC). Os HC foram tratados com atorvastatina (10 mg/dia/4 semanas). A genotipagem das variantes CYP3A4*1B, CYP3A5*3C e CYP3A5*1D foi feita por PCR-RFLP ou sequenciamento. A análise da expressão de RNAm de CYP3A4 e CYP3A5 foi avaliada por PCR em tempo real quantitativo (PCRq). As proteínas totais de HepG2 foram avaliadas por Western Blotting. A atividade de CYP3A4 e CYP3A5 in vivo foi avaliada pela relação entre cortisol e seu metabólito, 6&#946;-hidróxicortisol, na urina (razão 6&#946;OH-cortisol/cortisol), por CLAE. Resultados: O perfil de expressão basal de RNAm de CYP3A4 e CYP3A5 é diferente entre HepG2 e Caco-2. Caco-2 expressa 31 vezes mais CYP3A4 e 122 vezes mais CYP3A5 que HepG2. Em células HepG2 tratadas por 12 h, a atorvastatina 20 &#181;M aumentou a expressão de CYP3A4 em 10 vezes, em relação ao controle (p=0,006). Após 24 h de tratamento, atorvastatina (1-20 &#181;M) aumentou a expressão de CYP3A4 em 5 a 8 vezes, nas HepG2 (p< 0,001). Para CYP3A5, a exposição por 12 h à atorvastatina 20 &#181;M aumentou a expressão em 4 vezes em relação ao controle ( p<0,001). A exposição à sinvastatina 1,0 &#181;M por 24 h aumentou a expressão de CYP3A4, em 2 vezes (p<0,01), em HepG2. Também se observou que, nesse tempo de tratamento, a sinvastatina (0,1 &#181;M a 10 &#181;M) aumentou a expressão de CYP3A5 em 2 a 4 vezes (p<0,05). A linhagem HepG2 apresenta alelos funcionais (CYP3A4*1A e CYP3A5*1A) em homozigose. A linhagem Caco-2 apresenta os alelos não funcionais CYP3A5*3C e CYP3A5*1D, em heterozigose. Também foi avaliada a expressão das proteínas CYP3A4 e CYP3A5 por Western Blotting, em células HepG2, após atorvastatina (0,1 a 20 &#181;M) e sinvastatina (0,01 a 10 &#181;M) por 12 e 24 h. O perfil de expressão das proteínas não diferiu com os tratamentos. Nas células mononucleares do sangue periférico (CMSP), a expressão de RNAm basal de CYP3A4 é cerca de 2,5 a 9,6 vezes maior que a expressão de CYP3A5 (p< 0,05). Observou-se correlação da expressão de CYP3A4 e CYP3A5 nessas células, antes (r2 = 0,22; p< 0,0001) e após o tratamento (r2 = 0,58; p<0,0001) com atorvastatina. A expressão basal de RNAm de CYP3A4 e CYP3A5 é maior nos indivíduos (NL) que nos indivíduos (HC) (p<0,05). A atorvastatina não influenciou a expressão de CYP3A4 e CYP3A5 em CMSP (p> 0,05). Os indivíduos NL apresentam atividade de CYP3A4 e CYP3A5 basal maior que os indivíduos HC- (p<0,0001). O tratamento com atorvastatina não alterou a atividade de CYP3A4 e CYP3A5 nos HC (p>0,05). As variantes gênicas estudadas (CYP3A4*1B, CYP3A5*3C e CYP3A5*1D) como grupos haplotípicos não afetaram a resposta ao tratamento, a expressão de RNAm ou a atividade de CYP3A4 e CYP3A5, embora o haplótipo AGT tenha expressão basal de RNAm de CYP3A5 menor que os portadores de haplótipos GAT e GAC (p<0,005). Conclusão: Os resultados deste trabalho nos permitem concluir que a atorvastatina e a sinvastatina, mas não a ezetimiba, influenciam a expressão de CYP3A4 e CYP3A5 in vitro, em linhagem derivada de hepatócitos (HepG2), e que este efeito não foi reproduzido em linhagem derivada de enterócitos (Caco-2). A expressão de CYP3A4 e CYP3A5 tem grande variabilidade interindividual, independente do grupo haplotípico de cada indivíduo, e que não é influenciada pela atorvastatina. / Background: CYP3A4 and CYP3A5 are enzymes from the cytochrome P450 resposible for the biotransformation of endogenous steroids and several drugs, e.g. statins. Polymorphisms in CYP3A4 and CYP3A5 (CYP3A4*1B, CYP3A5*3C and CYP3A5*1D) have been associated with variation of lipid-lowering response in individuals treated with atorvastatin and simvastatin. In this study we evaluated the effect of hypolipemiants on expression and activity of CYP3A4 and CYP3A5, in HepG2 and Caco-2 cell lines as well as peripheral blood mononuclear cells (PBMC) in hypercholesterolemic individuals, and their relationship with CYP3A4 and CYP3A5 variants. Methods: We analyzed 99 normolipidemic individuals (NL) and 139 hypercholesterolemic (HC). HC subjects were treated with atorvastatin (HC, 10 mg/day/4 weeks). Analysis of CYP3A4*1B, CYP3A5*3C e CYP3A5*1D variants was performed with PCR-RFLP or sequencing assays and mRNA expression of CYP3A4 and CYP3A5 with Quantitative Real-time PCR (qRT-PCR) was performed . Total protein content was extracted from HepG2 for Western Blotting experiments. Activity of CYP3A4 and CYP3A5 in vivo was evaluated by 6&#946;OH-cortisol and cortisol ratio in urine samples, by HPLC-UV method. Results: Baseline mRNA expression is different for HepG2 and Caco-2. Caco-2 expresses 31 times more CYP3A4 and 122 times more CYP3A5 than HepG2. In HepG2 cells treated for 12h, atorvastatin 20 &#181;M increased CYP3A4 expression in 10 times, when compared to the control (p=0.006). After 24h treatment, atorvastatin (1-20 &#181;M) increased CYP3A4 mRNA expression in 5 to 8 times, in HepG2 (p< 0.001). To CYP3A5, exposure for 12h to atorvastatin 20 &#181;M increased expression in 4 times when compared to the control (p<0.001). Exposure to simvastatin 1.0 &#181;M for 24 h increased CYP3A4 expression in 2 times, (p<0.01), in HepG2. With the 24h treatment,simvastatin (0.1 &#181;M - 10 &#181;M) CYP3A5 showed increased mRNA expression in 2 to 4 times (p<0.05). HepG2 cell line carries homozygous functional alleles (CYP3A4*1A e CYP3A5*1A). Caco-2 carries heterozygous CYP3A5*3C and CYP3A5*1D. We evaluated the protein expression of CYP3A4 and CYP3A5 with Western Blotting in HepG2 cells, after atorvastatin (0.1 - 20 &#181;M) and simvastatin (0.01 - 10 &#181;M) for 12 and 24 h. The proteins profile did not change with statins treatment. In PBMC, baseline mRNA expression of CYP3A4 is approximately 2.6 to 9.5 times higher than CYP3A5 (p< 0.05). There was a correlation in expression between CYP3A4 and CYP3A5, before (r2 = 0.22; p< 0.0001) and after treatment (r2 = 0.58; p<0.0001) with atorvastatin. Baseline mRNA expression of CYP3A4 and CYP3A5 is higher in (NL) than in (HC) (p<0.05). Atorvastatin treatment did not increase CYP3A4 and CYP3A5 mRNA in PBMC (p>0.05). CYP3A4/5 activity was higher in NL subjects than in HC (p<0.0001). Atorvastatin treatment did not affect CYP3A4/5 activity in HC (p>0.05). The studied variants CYP3A4*1B, CYP3A5*3C e CYP3A5*1D analyzed as a haplotype block did not affect response to treatment, mRNA expression or activity of CYP3A4 and CYP3A5. However, AGT haplotype showed lower CYP3A5 mRNA expression levels when compared to GAC and GAT haplotypes at baseline (p<0.05). Conclusion: The results of this study allow us to conclude that atorvastatin and simvastatin, but not ezetimibe, influence the expression of CYP3A4 and CYP3A5 mRNA in vitro in HepG2 cell line, but this effect was not reproduced in Caco-2 cell line or PBMC. CYP3A4 and CYP3A5 present great interindividual variability, despite the individual´s haplotype and is not influenced by atorvastatin.

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

La mise au point et la validation d’une méthode de dosage par CLHP des alcaloïdes majoritaires (cépharanthine,xylopinine, tétrahydropalmatine) de Stephania rotunda sont réalisées. La méthode est appliquée au dosage des alcaloïdesdans différentes parties de la plante. Le tubercule est la drogue végétale la plus riche en alcaloïdes majoritaires, enparticulier en cépharanthine (1%). Le dosage des alcaloïdes majoritaires des tubercules d’origine différente est effectué.La cépharanthine est beaucoup plus concentrée dans le tubercule de Pailin (1,9%). La comparaison de la compositionchimique du tubercule cultivé et sauvage montre des résultats proches. L’isolement de huit alcaloïdes est effectué parChromatographie Flash. Leur structure est déterminée par SM et RMN. La cépharanthine, la xylopinine, latétrahydropalmatine, la palmatine et la roémérine précédemment décrites sont réisolées. La pseudopalmatine, lastéphanine et la vireakine, alcaloïde nouveau, sont décrites pour la première fois dans la plante. L’étude pharmacologiquede S. rotunda montre que la majorité des extraits testés (76%) présentent in vitro une activité antiplasmodiale intéressantesur la souche W2 de Plasmodium falciparum avec une CI50 < 5 μg/ml. La cépharanthine et la pseudopalmatine sont lesalcaloïdes les plus actifs avec une CI50 de 0,7 et 1 μg/ml, respectivement. Les effets sur la croissance in vitro de la soucheW2, des associations alcaloïdes/alcaloïdes et alcaloïdes/molécules antimalariques de référence sont testés. L’étude in vitrodu métabolisme hépatique de la cépharanthine montre la présence d’un métabolite principal M1 cytochrome dépendant.Une importante variabilité inter-individuelle de la formation de M1 est observée. L’étude de la variabilité inter-sexemontre qu’il n’y a pas de différence significative entre homme et femme. Les études in vitro de différentes espècesanimales indiquent une variabilité inter-espèces. L’enzyme responsable de la formation du métabolite M1 est déterminée.Le CYP3A4 est très fortement impliqué dans la métabolisation de la cépharanthine. Enfin, la détermination structurale dumétabolite majoritaire M1 a été réalisée par CDI-SM/SM. Cette étude nous a permis de conclure que la structure dumétabolite M1 correspond à un composé N-déméthylé. / An HPLC method is developed and validated for the simultaneous determination of major alkaloids: cepharanthine,xylopinine, tetrahydropalmatine in tuber of Stephania rotunda Lour. The validated method was successfully applied toquantify the three alkaloids in various parts of the plant. The higher content of major alkaloids, in particularcepharanthine (1%), is found in the tuber of this plant. The major alkaloids of tubers from different regions aredetermined. The cepharanthine is concentrated in tuber of Pailin (1.9%). The comparison of the chemical composition ofcultivated and wild tubers shows similar results. Eight alkaloids were isolated from S. rotunda using FlashChromatography. Their structures are elucidated by MS and NMR. Cepharanthine, xylopinine, tetrahydropalmatine,palmatine and roemerine previously described are reisolated. Pseudopalmatine, stephanine, and vireakine (newaporphine alkaloid) are described for the first time in the plant. Pharmacological study of S. rotunda shows that themajority of extracts (76%) exert in vitro antiplasmodial activity against a chloroquine resistant strain of Plasmodiumfalciparum (W2) with IC50 < 5 μg/ml. Cepharanthine and pseudopalmatine display significative activity with IC50 valuesof 0.7 and 1 μg/ml, respectively. Isobol experiments are performed with W2 strain by combination of alkaloids/alkaloidsand alkaloids/antimalarial reference molecules. In vitro metabolism study of cepharanthine using human liver microsomesshows the cytochrome-dependant formation of a major metabolite M1. Enzymatic kinetics were investigated with pooledhuman liver microsomes to determine Michaelis-Menten constants. Important inter-individual variability of cepharanthinemetabolism is observed. In vitro studies indicate an important inter-species variability. The enzyme responsible for theformation of M1 metabolite is investigated. This study shows that CYP3A4 is involved in the metabolism of thecepharanthine. The structure of M1 metabolite, identified by CDI-MS/MS, corresponds to a N-desmethyle derivative ofcepharanthine.

Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2016-02-23T13:23:39Z No. of bitstreams: 2 Dissertação - Flávia Cristina da Silva - 2015.pdf: 1680001 bytes, checksum: 3d5116e971ca03d4464ee6b64ab4a913 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-02-23T13:26:06Z (GMT) No. of bitstreams: 2 Dissertação - Flávia Cristina da Silva - 2015.pdf: 1680001 bytes, checksum: 3d5116e971ca03d4464ee6b64ab4a913 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) / Made available in DSpace on 2016-02-23T13:26:06Z (GMT). No. of bitstreams: 2 Dissertação - Flávia Cristina da Silva - 2015.pdf: 1680001 bytes, checksum: 3d5116e971ca03d4464ee6b64ab4a913 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-02-26 / The discovery and development of drugs consist of a complex process, requiring the integration of various strategic areas such as knowledge, innovation, technology, management and high investments in Research, Development and Innovation (RD&I). No drug can be approved for use in humans without first go through extensive studies aimed at ensuring its effectiveness and safety. On the other hand, a drug that inhibits the activity of a metabolic enzyme cytochrome P450 family (CYP450) can affect the pharmacokinetics of other drugs, resulting in drug-drug interactions (DDIs), which potentially lead to side effects and toxic effects. The main oxidative enzymes responsible for drug metabolism have as main representatives CYP450 superfamily, wherein the CYP3A4 isoform is the most important because it is responsible for metabolizing approximately 50% of the drugs on the market. Several computational methods have been developed as a strategy to predict human metabolism in the early stages of research and development of drugs. In silico models of metabolism have advantages such as faster, lower cost and ease of operation when compared to traditional models in vitro and in vivo. The work aimed mainly at the development of Quantitative Relations between models chemical structure and activity / property (QSAR / QSPR) robust and predictive, to identify CYP3A4 substrates and inhibitors. To this were collected, integrated and prepared larger data sets available in the literature substrates and inhibitors of CYP3A4. Several QSAR models were generated and validated for both properties using a workflow that contemplated carefully the recommendations of the Organization for Economic Co-operation Development (OECD). The combination of different descriptors and machine learning methods have led to obtain robust and predictive QSAR models, with correct classification rate (CCR) ranging from 0.65 to 0.83 and 0.69 to 0.89 of coverage, showing a statistically significant values for classification of compounds with high accuracy whether or not substrates of CYP3A4 substrates. The binary Morgan RFgenerated model to classify compounds inhibitors and non-inhibitors also proved highly robust and predictive with sensitivity values of 0.77 and accuracy of 0.76, and the Morgan-RF model multiclass obtained values of 0.68 sensitivity and 0.69 for accuracy. The map of predicted probability proved useful as it could encode major structural fragments to classify compounds inhibitors or not CYP3A4 inhibitors. In conclusion, have been developed and validated many QSAR to predict the interaction with the CYP450 enzyme that may be useful in the early stages of the development of new drugs. The next step is the online availability of the models obtained in LabMol server (http://labmol.farmacia.ufg.br). / A descoberta e o desenvolvimento de fármacos consistem um processo complexo, sendo necessária a integração de várias áreas estratégicas como conhecimento, inovação, tecnologia, gerenciamento e altos investimentos em Pesquisa, Desenvolvimento e Inovação (PD&I). Nenhum fármaco pode ser aprovado para uso em humanos sem que antes passe por extensivos estudos que visem garantir sua eficácia e segurança. Um fármaco que inibe a atividade metabólica de uma enzima da família citocromo P450 (CYP450), pode afetar a farmacocinética de outros fármacos, resultando em interações fármaco-fármaco (DDIs), que podem conduzir potencialmente a efeitos colaterais e tóxicos. As principais enzimas oxidativas responsáveis pelo metabolismo de fármacos possuem como principais representantes a superfamília CYP450, em que a isoforma CYP3A4 é a mais importante, pois é responsável por metabolizar aproximadamente 50 % dos fármacos disponíveis no mercado. Diversos métodos computacionais têm sido desenvolvidos como estratégia para predizer o metabolismo humano nos primeiros estágios de pesquisa e desenvolvimento de fármacos. Modelos in silico do metabolismo apresentam vantagens como maior rapidez, menor custo e maior facilidade de operação, quando comparados aos modelos tradicionais in vitro e in vivo. O trabalho teve como objetivo central o desenvolvimento de modelos de Relações Quantitativas entre estrutura química e atividade/propriedade (QSAR/QSPR) robustos e preditivos, visando identificar substratos e inibidores de CYP3A4. Para isso, foram compilados, integrados e preparados os maiores conjuntos de dados disponíveis na literatura de substratos e inibidores de CYP3A4. Vários modelos de QSAR foram gerados e validados para ambas as propriedades usando um fluxo de trabalho que contemplou criteriosamente as recomendações da Organization for Economic Co-operation Development (OECD). A combinação de diferentes descritores e métodos de aprendizado de máquina levaram a obtenção de modelos QSAR robustos e consistentes, com taxa de classificação correta (CCR) que variam entre 0,65-0,83 e cobertura de 0,69-0,89,demonstrando valores estatisticamente significativos para classificação com alta precisão de compostos em substratos ou não substratos de CYP3A4. O modelo Morgan-RF binário gerado para classificar compostos em inibidores e não inibidores se mostraram também altamente robusto e preditivo com valores de sensibilidade de 0,77 e acurácia de 0,76, e o modelo Morgan-RF multiclasse obteve valores de 0,68 para sensibilidade e 0,69 para acurácia. O mapa de probabilidade predita se mostrou útil, pois conseguiu codificar fragmentos estruturais importantes para classificar compostos em inibidores ou não inibidores de CYP3A4. Como conclusões foram desenvolvidos e validados diversos modelos de QSAR para prever a interação com a enzima CYP450 que podem ser úteis nos estágios iniciais do desenvolvimento de novos fármacos. O próximo passo será a disponibilização online dos modelos obtidos no servidor do LabMol (http://labmol.farmacia.ufg.br).

Nahrungsinhaltsstoffe sind im Organismus an Steuerungsprozessen und Stoffwechselvorgängen beteiligt, wobei die Mechanismen ihrer Wirkung noch nicht völlig aufgeklärt sind. Wie Vitamin E zeigen auch sekundäre Pflanzeninhaltsstoffe in Zellsystemen sowie <I>in vivo</I> eine Reihe biologischer Wirkungen, deren Erklärung jedoch häufig auf ihre antioxidative Eigenschaft reduziert wird. Ziel der Dissertation war es, den Einfluss von Vitamin E und anderen Pflanzeninhaltsstoffen (in Form von Pflanzenextrakten oder isolierten sekundären Pflanzeninhaltsstoffen, z.B. Polyphenole), die bisher alle hauptsächlich als Antioxidanz klassifiziert wurden, auf die transkriptionelle Regulation von Phase I- und Phase II-Enzymen zu untersuchen. Dazu wurde die Aktivierung des PXR (pregnane X receptor) und des Nrf2 (NF-E2-related factor-2) als zentrale Transkriptionsfaktoren der Phase I- bzw. Phase II-Enzyme getestet. <br><br> Der Einfluss von verschiedenen Vitamin E-Formen und antioxidativen Pflanzeninhaltsstoffen in Form von Reinsubstanzen (Curcumin, EGCG, Medox, Quercetin, Resveratrol und Sulforaphan) oder Pflanzenextrakten (aus Blaubeeren, Gewürznelken, Himbeeren, Nelkenpfeffer, Thymian oder Walnüssen) auf die Aktivierung von PXR und Nrf2 sowie des Promotors eines jeweiligen Zielgens (CYP3A4 bzw. GI-GPx) wurde <I>in vitro</I> mit Reportergenplasmiden untersucht. Es zeigte sich, dass sowohl Vitamin E-Formen als auch verschiedene sekundäre Pflanzeninhaltsstoffe PXR und/oder Nrf2 sowie die Promotoren der jeweiligen Zielgene CYP3A4 bzw. GI-GPx aktivieren. In einem Tierexperiment konnte diese genregulatorische Wirkung von Vitamin E auf die <I>in vivo</I>-Situation übertragen werden. In Lebern von Mäusen, deren Futter unterschiedliche Mengen von Vitamin E enthielt (Mangel-, Normal- und Überflussdiät), wurde eine direkte Korrelation zwischen der alpha-Tocopherol-Konzentration und der Cyp3a11 mRNA-Expression nachgewiesen (Cyp3a11 ist das murine Homolog zum humanen CYP3A4). Entgegen der <I>in vitro</I>-Situation hatte gamma-Tocotrienol <I>in vivo</I> einen nur kaum nachweisbaren Effekt auf die Expression der Cyp3a11 mRNA, induzierte aber die Expression der alpha-TTP mRNA. Es konnte gezeigt werden, dass Vitamin E und sekundäre Pflanzeninhaltsstoffe Phase I- und Phase II-Enzyme transkriptionell regulieren können. <br><br> Die Wirkungen des Vitamin E können sich allerdings nur entfalten, wenn die Vitamin E-Formen ausreichend vom Körper aufgenommen werden. Gegenstand der Dissertation waren daher auch Untersuchungen zur Bioverfügbarkeit (zelluläre Akkumulation und Metabolismus) verschiedener Vitamin E-Formen. Es konnte gezeigt werden, dass Unterschiede in der chemischen Struktur der Vitamin E-Formen deren zelluläre Akkumulation und Metabolisierung beeinflussen. <br><br> Unter Berücksichtigung der Ergebnisse der Dissertation lassen sich protektive Wirkungen von antioxidativen Nahrungsinhaltsstoffen auch unabhängig von ihren antioxidativen Eigenschaften über die Induktion zelleigener Schutzsysteme, einschließlich der Phase I- und Phase II-Enzyme, erklären. Die Induktion der zelleigenen Abwehr lässt sich auch als adaptive Antwort (sog. "adaptive response") des Organismus gegenüber zellschädigenden Ereignissen betrachten. / In the organism food compounds are involved in regulatory and metabolic processes although the mechanisms of their effects have not been completely elucidated yet. Like vitamin E, secondary plant compounds have diverse biological effects, both in cell systems as well as <I>in vivo</I>. However, the explanation thereof is often reduced to their antioxidative capacity. The aim of this thesis was to investigate the influence of vitamin E and other plant compounds (in form of plant extracts or isolated secondary plant compounds, e.g. polyphenols), which were up to now classified primarily as antioxidants, on the transcription of phase I- and phase II-enzymes. For this, the activation of central transcription factors of the phase I- or phase II enzymes, PXR (pregnane X receptor) and Nrf2 (NF-E2-related factor-2), was tested. <br><br> The influence of different vitamin E forms and antioxidative plant compounds in form of pure substances (curcumin, EGCG, Medox, quercetin, resveratrol, and sulforaphane) or plant extracts (from blueberries, clove, raspberries, allspice, thyme, or walnuts) on the activation of PXR and Nrf2 as well as on the promoter of a respective target gene (CYP3A4 or GI-GPx) was investigated <I>in vitro</I> by reporter gene assays. It appeared that vitamin E forms as well as different secondary plant compounds activate PXR and/or Nrf2 as well as the promoter of the respective target genes CYP3A4 and GI-GPx. The effects of vitamin E were confirmed <I>in vivo</I> by an animal experiment. In livers of mice whose diet contained different amounts of vitamin E (deficient, adequate and supra-nutritional), a direct correlation between alpha-tocopherol content and Cyp3a11 mRNA expression was shown (Cyp3a11 is the murine homolog to the human CYP3A4). In contrast to the <I>in vitro</I> observations, gamma-tocotrienol <I>in vivo</I> only had a small effect on the expression of Cyp3a11 mRNA. However, it induced the expression of alpha-TTP on mRNA level. It could be shown that vitamin E and secondary plant compounds can influence the transcriptional regulation of phase I- and/or phase II-enzymes. <br><br> However, these effects of vitamin E can only be seen if the vitamin E forms are taken up by the body sufficiently. Therefore, another aim of the thesis was to investigate the bioavailability of different vitamin E forms (i.e., cellular accumulation and metabolism). It could be shown that differences in the chemical structure of vitamin E forms influence their cellular accumulation and metabolism. <br><br> Regarding the results of this thesis, protective effects of antioxidative food compounds can be explained independent of their antioxidative properties by the induction of cellular protective systems, including phase I- and phase II-enzymes. The induction of cellular defence mechanism can also be considered as an adaptive response of the organism towards cell-damaging events.

Pagrindinis šio darbo tikslas buvo kiekybinio struktūros ir aktyvumo ryšio modelių, prognozuojančių su vaistų metabolizmu susijusias savybes, kūrimas. Modeliai, prognozuojantys CYP3A4 slopinimą ir žmogaus kepenų mikrosomų katalizuojamo metabolizmo regioselektyvumą, buvo sukurti naudojant GALAS (angl. Global, Adjusted Locally According to Similarity; Globalus, lokaliai pakoreguotas pagal panašumą) modeliavimo metodą, kuris geba įvertinti prognozės patikimumą, taip apibrėždamas modelio pritaikymo sritį. Sukurtų modelių prognozės buvo tikrinamos naudojant eksperimentinius naujų cheminių junginių duomenis. Visų globalių modelių prognozės gerėjo po korekcijų pagal panašumą, o neteisingų spėjimų skaičius buvo ženkliai mažesnis tarp aukšto patikimumo prognozių. Visgi daugiau nei pusė išorinių duomenų nepatenka į šių modelių pritaikymo sritį. GALAS modeliai gali būti gana paprastai apmokomi, pridedant naujus duomenis į lokalią modelio dalį ir apskaičiuojant reikiamą korekciją. Po tokios apmokymo procedūros CYP3A4 slopinimo modelis prisitaikė prie PubChem duomenų bazės cheminių junginių ir taip pat prie vaistų, turinčių naują cheminį karkasą. Pridėjus naujų junginių ir apmokius regioselektyvumo modelį, jis pradėjo prognozuoti naujas metabolizmo vietas. Pastarasis modelis taip pat buvo pritaikytas atskirų fermentų katalizuojamo metabolizmo prognozavimui. / The main objective of this study was the development of QSAR models for drug metabolism-related properties. Novel GALAS (Global, Adjusted Locally According to Similarity) modeling method was used, which is a combination of baseline global QSAR model and local similarity based corrections. GALAS modeling method allows forecasting the reliability of prediction thus defining the model applicability domain. Models predicting CYP3A4 inhibition and regioselectivity of metabolism in human liver microsomes were developed and validated using external test sets. In all cases the baseline models already showed acceptable results, and the overall accuracy of predictions increased after the similarity based corrections. Moreover, the numbers of mispredictions reduced significantly when only results of higher reliability were taken into account. However, the original models are applicable only for less than a half of external datasets. Since the similarity correction procedure of GALAS modeling method allows simple model training, the possibility to expand the applicability domain has been tested. The CYP3A4 inhibition model was successfully adapted to PubChem data and compounds with a novel chemical scaffold. After training the regioselectivity model new metabolism sites could be identified in compounds of new chemical class. Moreover, this model was adapted for human cytochrome P450 isoform profiling.

The main objective of this study was the development of QSAR models for drug metabolism-related properties. Novel GALAS (Global, Adjusted Locally According to Similarity) modeling method was used, which is a combination of baseline global QSAR model and local similarity based corrections. GALAS modeling method allows forecasting the reliability of prediction thus defining the model applicability domain. Models predicting CYP3A4 inhibition and regioselectivity of metabolism in human liver microsomes were developed and validated using external test sets. In all cases the baseline models already showed acceptable results, and the overall accuracy of predictions increased after the similarity based corrections. Moreover, the numbers of mispredictions reduced significantly when only results of higher reliability were taken into account. However, the original models are applicable only for less than a half of external datasets. Since the similarity correction procedure of GALAS modeling method allows simple model training, the possibility to expand the applicability domain has been tested. The CYP3A4 inhibition model was successfully adapted to PubChem data and compounds with a novel chemical scaffold. After training the regioselectivity model new metabolism sites could be identified in compounds of new chemical class. Moreover, this model was adapted for human cytochrome P450 isoform profiling. / Pagrindinis šio darbo tikslas buvo kiekybinio struktūros ir aktyvumo ryšio modelių, prognozuojančių su vaistų metabolizmu susijusias savybes, kūrimas. Modeliai, prognozuojantys CYP3A4 slopinimą ir žmogaus kepenų mikrosomų katalizuojamo metabolizmo regioselektyvumą, buvo sukurti naudojant GALAS (angl. Global, Adjusted Locally According to Similarity; Globalus, lokaliai pakoreguotas pagal panašumą) modeliavimo metodą, kuris geba įvertinti prognozės patikimumą, taip apibrėždamas modelio pritaikymo sritį. Sukurtų modelių prognozės buvo tikrinamos naudojant eksperimentinius naujų cheminių junginių duomenis. Visų globalių modelių prognozės gerėjo po korekcijų pagal panašumą, o neteisingų spėjimų skaičius buvo ženkliai mažesnis tarp aukšto patikimumo prognozių. Visgi daugiau nei pusė išorinių duomenų nepatenka į šių modelių pritaikymo sritį. GALAS modeliai gali būti gana paprastai apmokomi, pridedant naujus duomenis į lokalią modelio dalį ir apskaičiuojant reikiamą korekciją. Po tokios apmokymo procedūros CYP3A4 slopinimo modelis prisitaikė prie PubChem duomenų bazės cheminių junginių ir taip pat prie vaistų, turinčių naują cheminį karkasą. Pridėjus naujų junginių ir apmokius regioselektyvumo modelį, jis pradėjo prognozuoti naujas metabolizmo vietas. Pastarasis modelis taip pat buvo pritaikytas atskirų fermentų katalizuojamo metabolizmo prognozavimui.