{"title":"[抑郁症的“个性化医疗”离临床应用还有多远?]","authors":"Masaki Kato","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Major depressive disorder is a debilitating disease that imposes significant social and eco- nomic burdens due to its 10% life-time prevalence and 15% association with suicide, and so urgent measures are needed. However, not all individuals benefit from antidepressant treat- ment, and some patients poorly respond or develop side effects. It would be helpful to identify a biomarker that could indicate the best therapeutic tool that is likely to be effective and toler- able for each patient In this context, a marked effort has been directed toward the search for genetic predictors of drug efficacy in mood disorders over the last few years. However, the present evidence from pharmacogenomic studies does not match those expectations. So, how far is \"personalized medicine\" for depression from clinical use? It is important to translate the results of such pharmacogenomic studies to better treatment in clinical practice. Here, I pro- vide an overview of pharmacogenomic research results with both a genome-wide approach and candidate approach, and suggest possible ways to apply pharmacogenomic results in clini- cal settings.</p>","PeriodicalId":21638,"journal":{"name":"Seishin shinkeigaku zasshi = Psychiatria et neurologia Japonica","volume":"118 8","pages":"615-624"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[How Far is \\\"Personalized Medicine\\\" for Depression from Clinical Use?].\",\"authors\":\"Masaki Kato\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Major depressive disorder is a debilitating disease that imposes significant social and eco- nomic burdens due to its 10% life-time prevalence and 15% association with suicide, and so urgent measures are needed. However, not all individuals benefit from antidepressant treat- ment, and some patients poorly respond or develop side effects. It would be helpful to identify a biomarker that could indicate the best therapeutic tool that is likely to be effective and toler- able for each patient In this context, a marked effort has been directed toward the search for genetic predictors of drug efficacy in mood disorders over the last few years. However, the present evidence from pharmacogenomic studies does not match those expectations. So, how far is \\\"personalized medicine\\\" for depression from clinical use? It is important to translate the results of such pharmacogenomic studies to better treatment in clinical practice. Here, I pro- vide an overview of pharmacogenomic research results with both a genome-wide approach and candidate approach, and suggest possible ways to apply pharmacogenomic results in clini- cal settings.</p>\",\"PeriodicalId\":21638,\"journal\":{\"name\":\"Seishin shinkeigaku zasshi = Psychiatria et neurologia Japonica\",\"volume\":\"118 8\",\"pages\":\"615-624\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seishin shinkeigaku zasshi = Psychiatria et neurologia Japonica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seishin shinkeigaku zasshi = Psychiatria et neurologia Japonica","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[How Far is "Personalized Medicine" for Depression from Clinical Use?].
Major depressive disorder is a debilitating disease that imposes significant social and eco- nomic burdens due to its 10% life-time prevalence and 15% association with suicide, and so urgent measures are needed. However, not all individuals benefit from antidepressant treat- ment, and some patients poorly respond or develop side effects. It would be helpful to identify a biomarker that could indicate the best therapeutic tool that is likely to be effective and toler- able for each patient In this context, a marked effort has been directed toward the search for genetic predictors of drug efficacy in mood disorders over the last few years. However, the present evidence from pharmacogenomic studies does not match those expectations. So, how far is "personalized medicine" for depression from clinical use? It is important to translate the results of such pharmacogenomic studies to better treatment in clinical practice. Here, I pro- vide an overview of pharmacogenomic research results with both a genome-wide approach and candidate approach, and suggest possible ways to apply pharmacogenomic results in clini- cal settings.