• 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

评估CPIC数据库中与基因相关药物的药物基因组学证据。

Evaluation of pharmacogenomic evidence for drugs related to genes in CPIC database.

作者信息

Reeves Anthony Allen, Hopefl Robert, Deb Subrata

机构信息

Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA.

出版信息

Drug Metab Pers Ther. 2022 Oct 19;38(1):65-78. doi: 10.1515/dmpt-2022-0123. eCollection 2023 Mar 1.

DOI:10.1515/dmpt-2022-0123
PMID:36257916
Abstract

OBJECTIVES

Clinical Pharmacogenetics Implementation Consortium (CPIC) is a platform that advances the pharmacogenomics (PGx) practice by developing evidence-based guidelines. The purpose of this study was to analyze the CPIC database for ADME related genes and their corresponding drugs, and evidence level for drug-gene pairs; and to determine the presence of these drug-gene pairs in the highest mortality diseases in the United States.

METHODS

CPIC database was evaluated for drug-gene pairs related to absorption, distribution, metabolism, and excretion (ADME) properties. National Vital Statistics from Centers for Disease Control and Prevention was used to identify the diseases with the highest mortality. CPIC levels are assigned to different drug-gene pairs based on varying levels of evidence as either A, B, C, or D. All drug-gene pairs assigned with A/B, B/C, or C/D mixed levels were excluded from this study. A stepwise exclusion process was followed to determine the prevalence of various ADME drug-gene pairs among phase I/II enzymes or transporters and stratify the drug-gene pairs relevant to different disease conditions most commonly responsible for death in the United States.

RESULTS

From a total of 442 drug-gene pairs in the CPIC database, after exclusion of 86 drug-gene pairs with levels A/B, B/C, or C/D, and 211 non-ADME related genes, 145 ADME related drug-gene pairs resulted. From the 145 ADME related drug-genes pairs, the following were the distribution of levels: Level A: 43 (30%), Level B: 22 (15%), Level C: 59 (41%), Level D: 21 (14%). The most prevalent ADME gene with CPIC level A classification was cytochrome P450 2C9 () (26%) and overall, the most prevalent ADME gene in the CPIC database was (30%). The most prevalent diseases related to the CPIC evidence related drugs were cancer and depression.

CONCLUSIONS

We found that there is an abundance of ADME related genes in the CPIC database, including in the high mortality disease states of cancer and depression. There is a differential level of pharmacogenomic evidence in drug-gene pairs enlisted in CPIC where levels A and D having the greatest number of drug-gene pairs. was the most common ADME gene with CPIC evidence for drug-gene pairs. Pharmacogenomic applications of CPIC evidence can be leveraged to individualize patient therapy and lower adverse effect events.

摘要

目的

临床药物基因组学实施联盟(CPIC)是一个通过制定循证指南来推进药物基因组学(PGx)实践的平台。本研究的目的是分析CPIC数据库中与药物吸收、分布、代谢和排泄(ADME)相关的基因及其相应药物,以及药物-基因对的证据水平;并确定这些药物-基因对在美国死亡率最高的疾病中的存在情况。

方法

对CPIC数据库中与吸收、分布、代谢和排泄(ADME)特性相关的药物-基因对进行评估。使用美国疾病控制与预防中心的国家生命统计数据来确定死亡率最高的疾病。根据不同的证据水平,CPIC将不同的药物-基因对分为A、B、C或D级。本研究排除了所有被指定为A/B、B/C或C/D混合级别的药物-基因对。采用逐步排除法来确定I/II期酶或转运体中各种ADME药物-基因对的流行情况,并对与美国最常见的导致死亡的不同疾病状况相关的药物-基因对进行分层。

结果

在CPIC数据库中的总共442个药物-基因对中,排除86个A/B、B/C或C/D级别的药物-基因对以及211个与ADME无关的基因后,得到了145个与ADME相关的药物-基因对。在这145个与ADME相关的药物-基因对中,证据水平分布如下:A级:43个(30%),B级:22个(15%),C级:59个(41%),D级:21个(14%)。CPIC证据水平为A级的最常见ADME基因是细胞色素P450 2C9()(26%),总体而言,CPIC数据库中最常见的ADME基因是(30%)。与CPIC证据相关药物最相关的疾病是癌症和抑郁症。

结论

我们发现CPIC数据库中有大量与ADME相关的基因,包括在癌症和抑郁症等高死亡率疾病状态中。CPIC中登记的药物-基因对的药物基因组学证据水平存在差异,其中A级和D级的药物-基因对数量最多。是CPIC中有药物-基因对证据的最常见ADME基因。可以利用CPIC证据的药物基因组学应用来实现患者治疗个体化并降低不良反应事件。

相似文献

1
Evaluation of pharmacogenomic evidence for drugs related to genes in CPIC database.评估CPIC数据库中与基因相关药物的药物基因组学证据。
Drug Metab Pers Ther. 2022 Oct 19;38(1):65-78. doi: 10.1515/dmpt-2022-0123. eCollection 2023 Mar 1.
2
ADME Gene-Related Pharmacogenomic Labeling of FDA-Approved Drugs: Comparison with Clinical Pharmacogenetics Implementation Consortium (CPIC) Evidence Levels.美国食品药品监督管理局(FDA)批准药物的ADME基因相关药物基因组学标签:与临床药物基因组学实施联盟(CPIC)证据水平的比较。
Medicines (Basel). 2024 Feb 20;11(3):6. doi: 10.3390/medicines11030006.
3
Comparison of FDA Table of Pharmacogenetic Associations and Clinical Pharmacogenetics Implementation Consortium guidelines.美国食品药品监督管理局药物遗传学关联表与临床药物遗传学实施联盟指南的比较。
Am J Health Syst Pharm. 2022 Jun 7;79(12):993-1005. doi: 10.1093/ajhp/zxac064.
4
Prescription Patterns and Relationship to Pharmacogenomics Testing in the Military Health System.军队卫生系统中的处方模式及与药物基因组学检测的关系。
Mil Med. 2021 Dec 30;187(Suppl 1):9-17. doi: 10.1093/milmed/usab481.
5
Pharmacogenomics in chronic pain therapy: from disease to treatment and challenges for clinical practice.药物基因组学在慢性疼痛治疗中的应用:从疾病到治疗以及对临床实践的挑战。
Pharmacogenomics. 2019 Aug;20(13):971-982. doi: 10.2217/pgs-2019-0066.
6
Prevalence of exposure to pharmacogenetic drugs by the Saudis treated at the health care centers of the Ministry of National Guard.沙特国民卫队医疗中心治疗的沙特人接触药物遗传学药物的患病率。
Saudi Pharm J. 2022 Aug;30(8):1181-1192. doi: 10.1016/j.jsps.2022.06.013. Epub 2022 Jun 22.
7
Comparison of targeted vs. expanded pharmacogenomic testing: What are we missing?靶向与扩展药物基因组学检测的比较:我们遗漏了什么?
J Am Pharm Assoc (2003). 2023 May-Jun;63(3):939-945. doi: 10.1016/j.japh.2023.02.020. Epub 2023 Mar 2.
8
Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data.不同监管机构和研究联盟使用基于下一代测序的临床药物基因组学数据,在精神疾病的基因组指导方面存在差异和相似之处。
Pharmacol Res. 2021 May;167:105538. doi: 10.1016/j.phrs.2021.105538. Epub 2021 Mar 9.
9
Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.将药物基因组学纳入常规临床实践:临床药物基因组学实施联盟(CPIC)指南制定过程。
Curr Drug Metab. 2014 Feb;15(2):209-17. doi: 10.2174/1389200215666140130124910.
10
Opportunities for Pharmacogenetic Testing to Guide Dosing of Medications in Youths With Medicaid.医疗保险覆盖的青少年人群中,药物遗传学检测指导药物剂量选择的机会
JAMA Netw Open. 2024 Feb 5;7(2):e2355707. doi: 10.1001/jamanetworkopen.2023.55707.

引用本文的文献

1
Personalized Medicine Approach to Proteomics and Metabolomics of Cytochrome P450 Enzymes: A Narrative Review.个性化医学方法在细胞色素 P450 酶的蛋白质组学和代谢组学中的应用:综述。
Eur J Drug Metab Pharmacokinet. 2024 Nov;49(6):661-676. doi: 10.1007/s13318-024-00912-5. Epub 2024 Sep 13.