[抑郁症的“个性化医疗”离临床应用还有多远?]

Masaki Kato
{"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}
引用次数: 0

摘要

重度抑郁症是一种使人衰弱的疾病,由于其10%的终生患病率和15%的自杀相关性,造成了重大的社会和经济负担,因此需要采取紧急措施。然而,并非所有人都能从抗抑郁治疗中获益,一些患者反应不佳或产生副作用。在这种背景下,在过去的几年里,人们一直在努力寻找情绪障碍药物疗效的遗传预测因子,这将有助于确定一种生物标志物,它可以指示对每个患者可能有效和可接受的最佳治疗工具。然而,目前来自药物基因组学研究的证据并不符合这些期望。那么,治疗抑郁症的“个体化药物”离临床应用还有多远呢?将这些药物基因组学研究的结果转化为临床实践中更好的治疗是很重要的。在这里,我提供了药物基因组学研究结果的概述,包括全基因组方法和候选方法,并提出了在临床环境中应用药物基因组学结果的可能方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信