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Can Epigenetics Predict Drug Efficiency in Mental Disorders?
Ben David, Gil; Amir, Yam; Salalha, Randa; Sharvit, Lital; Richter-Levin, Gal; Atzmon, Gil.
Afiliação
  • Ben David G; Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
  • Amir Y; Department of Human Biology, Faculty of Natural Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
  • Salalha R; Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
  • Sharvit L; Department of Human Biology, Faculty of Natural Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
  • Richter-Levin G; Sagol Department of Neurobiology, Faculty of Natural Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
  • Atzmon G; Department of Psychology, Faculty of Social Sciences, University of Haifa, 199 Aba Khoushy Ave., Mount Carmel, Haifa 3498838, Israel.
Cells ; 12(8)2023 04 17.
Article em En | MEDLINE | ID: mdl-37190082
ABSTRACT
Psychiatric disorders affect millions of individuals and their families worldwide, and the costs to society are substantial and are expected to rise due to a lack of effective treatments. Personalized medicine-customized treatment tailored to the individual-offers a solution. Although most mental diseases are influenced by genetic and environmental factors, finding genetic biomarkers that predict treatment efficacy has been challenging. This review highlights the potential of epigenetics as a tool for predicting treatment efficacy and personalizing medicine for psychiatric disorders. We examine previous studies that have attempted to predict treatment efficacy through epigenetics, provide an experimental model, and note the potential challenges at each stage. While the field is still in its infancy, epigenetics holds promise as a predictive tool by examining individual patients' epigenetic profiles in conjunction with other indicators. However, further research is needed, including additional studies, replication, validation, and application beyond clinical settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antipsicóticos / Medicina de Precisão / Epigenômica / Transtornos Mentais Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cells Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Antipsicóticos / Medicina de Precisão / Epigenômica / Transtornos Mentais Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Cells Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Israel