• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用药物基因组学结果指导抗抑郁药选择:病例报告。

Utilizing Pharmacogenomics Results to Guide Antidepressant Selection: A Case Report.

机构信息

1 Office of Translational Research and Residency Programs, Tabula Rasa HealthCare, Moorestown, New Jersey.

出版信息

Sr Care Pharm. 2024 Apr 1;39(4):143-150. doi: 10.4140/TCP.n.2024.143.

DOI:10.4140/TCP.n.2024.143
PMID:38528337
Abstract

The case discussion demonstrates the benefit of using Pharmacogenomic (PGx) results to aid in the selection of antidepressant therapy and improve response to treatment. Nearly half of patients diagnosed with major depressive disorder fail initial therapy and may require multiple trials of antidepressants. Genetic variation in several metabolic enzymes contribute to the variable response to antidepressant therapy. PGx testing provides an opportunity to inform antidepressant selection and optimize therapeutic outcomes, while minimizing risk of adverse events. A 79-year-old female who had been experiencing a suboptimal response to escitalopram following dose escalation over a period of three years was referred for a PGx consultation. A clinical pharmacist assessed significant drug-gene, drug-drug, and drug-drug-gene interactions, and relevant clinical information to recommend alternative antidepressant therapy, which resulted in mood improvement.

摘要

该病例讨论展示了使用药物基因组学(PGx)结果来辅助选择抗抑郁治疗和提高治疗反应的益处。近一半被诊断为重度抑郁症的患者初始治疗失败,可能需要多次尝试使用抗抑郁药。几种代谢酶的遗传变异导致对抗抑郁治疗的反应存在差异。PGx 检测提供了一个机会,可以告知抗抑郁药物的选择,并优化治疗效果,同时将不良反应的风险降到最低。一名 79 岁女性在三年内逐渐增加剂量后,仍对依西酞普兰的反应不理想,因此被转介进行 PGx 咨询。临床药师评估了重要的药物-基因、药物-药物和药物-药物-基因相互作用,以及相关的临床信息,以推荐替代的抗抑郁治疗方案,这导致了情绪的改善。

相似文献

1
Utilizing Pharmacogenomics Results to Guide Antidepressant Selection: A Case Report.利用药物基因组学结果指导抗抑郁药选择:病例报告。
Sr Care Pharm. 2024 Apr 1;39(4):143-150. doi: 10.4140/TCP.n.2024.143.
2
Pharmacist assessment of drug-gene interactions and drug-induced phenoconversion in major depressive disorder: a case report.精神科药师对药物-基因相互作用和药物引起的表型转化的评估:病例报告。
BMC Psychiatry. 2022 Jan 20;22(1):46. doi: 10.1186/s12888-021-03659-4.
3
Pharmacist-guided pre-emptive pharmacogenetic testing in antidepressant therapy (PrePGx): study protocol for an open-label, randomized controlled trial.药师主导的抗抑郁治疗前预测性遗传药理学检测(PrePGx):一项开放标签、随机对照试验的研究方案。
Trials. 2021 Dec 14;22(1):919. doi: 10.1186/s13063-021-05724-5.
4
The PRESIDE (PhaRmacogEnomicS In DEpression) Trial: a double-blind randomised controlled trial of pharmacogenomic-informed prescribing of antidepressants on depression outcomes in patients with major depressive disorder in primary care.PRESIDE(抑郁的药物基因组学研究)试验:一项在初级保健中针对主要抑郁障碍患者进行基于药物基因组学的抗抑郁药物处方的双盲随机对照试验,以评估其对抑郁结局的影响。
Trials. 2023 May 19;24(1):342. doi: 10.1186/s13063-023-07361-6.
5
Pharmacogenetic Testing in Depressed Patients and Interdisciplinary Exchange between a Pharmacist and Psychiatrists Results in Reduced Hospitalization Times.在抑郁患者中进行药物遗传学检测以及药师与精神科医生之间的跨学科交流可减少住院时间。
Pharmacopsychiatry. 2020 Jul;53(4):185-192. doi: 10.1055/a-1096-1171. Epub 2020 Feb 11.
6
Pharmacogenetics of antidepressant response: A polygenic approach.抗抑郁反应的药物遗传学:一种多基因方法。
Prog Neuropsychopharmacol Biol Psychiatry. 2017 Apr 3;75:128-134. doi: 10.1016/j.pnpbp.2017.01.011. Epub 2017 Jan 31.
7
Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial.前瞻性药物遗传学检测在重度抑郁症治疗中的疗效:一项随机双盲临床试验的结果
BMC Psychiatry. 2017 Jul 14;17(1):250. doi: 10.1186/s12888-017-1412-1.
8
Case Report: Performing a Medication Safety Review Assisted by Pharmacogenomics to Explain a Prescribing Cascade Resulting in a Patient Fall.病例报告:通过药物基因组学进行药物安全审查,以解释导致患者跌倒的处方级联现象。
Medicina (Kaunas). 2023 Jan 6;59(1):118. doi: 10.3390/medicina59010118.
9
Machine learning, pharmacogenomics, and clinical psychiatry: predicting antidepressant response in patients with major depressive disorder.机器学习、药物基因组学和临床精神病学:预测重度抑郁症患者的抗抑郁反应。
Expert Rev Clin Pharmacol. 2022 Aug;15(8):927-944. doi: 10.1080/17512433.2022.2112949. Epub 2022 Aug 21.
10
Effect of Pharmacogenomic Testing for Drug-Gene Interactions on Medication Selection and Remission of Symptoms in Major Depressive Disorder: The PRIME Care Randomized Clinical Trial.药物基因相互作用的药物基因组检测对重度抑郁症患者药物选择和症状缓解的影响:PRIME Care 随机临床试验。
JAMA. 2022 Jul 12;328(2):151-161. doi: 10.1001/jama.2022.9805.