Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/41006 |
Resumo: | The existence of pathogenic variants and single nucleotide polymorphisms (SNPs) in genes encoding enzymes involved in metabolic pathways can not only cause inherited metabolic disorders (HMDs) but also have a significant impact on the pharmacokinetics of certain drugs, influencing therapeutic responses and patients' clinical prognosis. Currently, SNPs are recognized as essential biomarkers to assess drug susceptibility in various HMDs. This study aimed to broaden the mutational spectrum associated with some HMDs in the Portuguese population, such as phenylketonuria (PKU), trimethylaminuria (TMAU), and dihydropyrimidine dehydrogenase (DPD) deficiency. Additionally, we sought to correlate the impact of certain identified variants and SNPs in the context of pharmacogenetics and personalized medicine, especially regarding the therapeutic response of patients to sapropterin dihydrochloride (BH4), drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. To achieve these objectives, molecular characterization was performed in a cohort of 134 patients from the Neonatal Screening, Metabolism, and Genetics Unit of the National Institute of Health Dr. Ricardo Jorge. The results allowed us to identify four new variants in the DPYD gene, thus expanding the mutational spectrum associated with DPD deficiency. We also demonstrated that the genetic variants currently available in laboratory kits for qualitative pharmacogenetic analysis of the DPYD gene are insufficient for safe therapeutic prescriptions. Regarding trimethylaminuria and phenylketonuria, we were able to establish strong associations between genotype/phenotype and predict the possible pharmacotherapeutic responses of the studied patients. This study emphasizes the importance of implementing molecular studies as a predictive tool before initiating therapy, particularly involving BH4, drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. This personalized approach allows clinicians to predict the likelihood of drug efficacy and toxicity, thus individualizing treatment and improving the therapeutic safety of patients. |
id |
RCAP_27a819c5139523b7ab061dca1928d621 |
---|---|
oai_identifier_str |
oai:ria.ua.pt:10773/41006 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogeneticsPersonalized medicinePharmacogeneticsInherited metabolic diseasesPhenylketonuriaTrimethylaminuriaDihydropyrimidine dehydrogenase deficiencyMutational spectrumSingle nucleotide polymorphismsThe existence of pathogenic variants and single nucleotide polymorphisms (SNPs) in genes encoding enzymes involved in metabolic pathways can not only cause inherited metabolic disorders (HMDs) but also have a significant impact on the pharmacokinetics of certain drugs, influencing therapeutic responses and patients' clinical prognosis. Currently, SNPs are recognized as essential biomarkers to assess drug susceptibility in various HMDs. This study aimed to broaden the mutational spectrum associated with some HMDs in the Portuguese population, such as phenylketonuria (PKU), trimethylaminuria (TMAU), and dihydropyrimidine dehydrogenase (DPD) deficiency. Additionally, we sought to correlate the impact of certain identified variants and SNPs in the context of pharmacogenetics and personalized medicine, especially regarding the therapeutic response of patients to sapropterin dihydrochloride (BH4), drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. To achieve these objectives, molecular characterization was performed in a cohort of 134 patients from the Neonatal Screening, Metabolism, and Genetics Unit of the National Institute of Health Dr. Ricardo Jorge. The results allowed us to identify four new variants in the DPYD gene, thus expanding the mutational spectrum associated with DPD deficiency. We also demonstrated that the genetic variants currently available in laboratory kits for qualitative pharmacogenetic analysis of the DPYD gene are insufficient for safe therapeutic prescriptions. Regarding trimethylaminuria and phenylketonuria, we were able to establish strong associations between genotype/phenotype and predict the possible pharmacotherapeutic responses of the studied patients. This study emphasizes the importance of implementing molecular studies as a predictive tool before initiating therapy, particularly involving BH4, drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. This personalized approach allows clinicians to predict the likelihood of drug efficacy and toxicity, thus individualizing treatment and improving the therapeutic safety of patients.A existência de variantes patogénicas e polimorfismos de nucleótido único (SNP) em genes que codificam enzimas envolvidas em vias metabólicas, pode não só causar doenças hereditárias do metabolismo (HMDs) como também ter um impacto significativo na farmacocinética de certos fármacos, influenciando as respostas terapêuticas e o prognóstico clínico dos pacientes. Atualmente, os SNPs são reconhecidos como biomarcadores essenciais para avaliar a suscetibilidade a fármacos em várias HMDs. Pretendeu-se com este estudo alargar o espetro mutacional associado a algumas HMDs na população portuguesa, como a a fenilcetonúria (PKU), trimetilaminúria (TMAU) e a deficiência de dihidropirimidina desidrogenase (DPD). Para além disso, procurou-se correlacionar o impacto de certas variantes e SNPs identificadas, no contexto da farmacogenética e da medicina personalizada, nomeadamente em relação à resposta terapêutica dos pacientes ao dicloridrato de sapropterina (BH4), aos fármacos metabolizados pela enzima FMO3 e às fluoropirimidinas. Para atingir esses objetivos, realizou-se a caracterização molecular numa cohort de 134 pacientes da Unidade de Rastreio Neonatal, Metabolismo e Genética do Instituto Nacional de Saúde Dr. Ricardo Jorge. Os resultados obtidos permitiram identificar quatro novas variantes no gene DPYD, ampliando assim o espectro mutacional associado à deficiência de DPD. Também demonstramos que as variantes genéticas atualmente disponíveis em kits laboratoriais para análise farmacogenética qualitativa do gene DPYD são insuficientes para prescrições terapêuticas seguras. Relativamente à trimetilaminúria e à fenilcetonúria, conseguimos estabelecer robustas associações entre o genótipo/fenótipo, bem como prever as possíveis respostas farmacoterapêuticas dos pacientes estudados. Este estudo enfatiza a importância de implementar estudos moleculares como uma ferramenta preditiva antes de iniciar a terapia, nomeadamente envolvendo BH4, medicamentos metabolizados pela enzima FMO3 e fluoropirimidinas. Esta abordagem personalizada permite aos clínicos prever a probabilidade de eficácia e toxicidade desses fármacos, individualizando assim o tratamento e melhorando a segurança terapêutica dos doentes.2024-03-08T14:45:43Z2023-12-19T00:00:00Z2023-12-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/41006engAlves, Diana Lopesinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T01:47:22Zoai:ria.ua.pt:10773/41006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:20:07.744385Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
title |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
spellingShingle |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics Alves, Diana Lopes Personalized medicine Pharmacogenetics Inherited metabolic diseases Phenylketonuria Trimethylaminuria Dihydropyrimidine dehydrogenase deficiency Mutational spectrum Single nucleotide polymorphisms |
title_short |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
title_full |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
title_fullStr |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
title_full_unstemmed |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
title_sort |
Characterization of polymorphisms associated with genetic metabolic disorders in the field of pharmacogenetics |
author |
Alves, Diana Lopes |
author_facet |
Alves, Diana Lopes |
author_role |
author |
dc.contributor.author.fl_str_mv |
Alves, Diana Lopes |
dc.subject.por.fl_str_mv |
Personalized medicine Pharmacogenetics Inherited metabolic diseases Phenylketonuria Trimethylaminuria Dihydropyrimidine dehydrogenase deficiency Mutational spectrum Single nucleotide polymorphisms |
topic |
Personalized medicine Pharmacogenetics Inherited metabolic diseases Phenylketonuria Trimethylaminuria Dihydropyrimidine dehydrogenase deficiency Mutational spectrum Single nucleotide polymorphisms |
description |
The existence of pathogenic variants and single nucleotide polymorphisms (SNPs) in genes encoding enzymes involved in metabolic pathways can not only cause inherited metabolic disorders (HMDs) but also have a significant impact on the pharmacokinetics of certain drugs, influencing therapeutic responses and patients' clinical prognosis. Currently, SNPs are recognized as essential biomarkers to assess drug susceptibility in various HMDs. This study aimed to broaden the mutational spectrum associated with some HMDs in the Portuguese population, such as phenylketonuria (PKU), trimethylaminuria (TMAU), and dihydropyrimidine dehydrogenase (DPD) deficiency. Additionally, we sought to correlate the impact of certain identified variants and SNPs in the context of pharmacogenetics and personalized medicine, especially regarding the therapeutic response of patients to sapropterin dihydrochloride (BH4), drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. To achieve these objectives, molecular characterization was performed in a cohort of 134 patients from the Neonatal Screening, Metabolism, and Genetics Unit of the National Institute of Health Dr. Ricardo Jorge. The results allowed us to identify four new variants in the DPYD gene, thus expanding the mutational spectrum associated with DPD deficiency. We also demonstrated that the genetic variants currently available in laboratory kits for qualitative pharmacogenetic analysis of the DPYD gene are insufficient for safe therapeutic prescriptions. Regarding trimethylaminuria and phenylketonuria, we were able to establish strong associations between genotype/phenotype and predict the possible pharmacotherapeutic responses of the studied patients. This study emphasizes the importance of implementing molecular studies as a predictive tool before initiating therapy, particularly involving BH4, drugs metabolized by the FMO3 enzyme, and fluoropyrimidines. This personalized approach allows clinicians to predict the likelihood of drug efficacy and toxicity, thus individualizing treatment and improving the therapeutic safety of patients. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-19T00:00:00Z 2023-12-19 2024-03-08T14:45:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/41006 |
url |
http://hdl.handle.net/10773/41006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137843183878144 |