[抗真菌药物和分子靶向药物之间的药物相互作用]。

Takeo Yamagiwa
{"title":"[抗真菌药物和分子靶向药物之间的药物相互作用]。","authors":"Takeo Yamagiwa","doi":"10.11406/rinketsu.66.1215","DOIUrl":null,"url":null,"abstract":"<p><p>Drug interactions occur when the concomitant use of multiple drugs enhances or reduces their pharmacological effects, or causes unexpectedly strong adverse reactions. Major mechanisms include alterations in cytochrome P450 (CYP) enzyme activity, chelation within the gastrointestinal tract, and inhibition of renal transporters. In the treatment of hematologic malignancies, combination of molecular targeted therapies with immunosuppressants often increases the risk of infections due to drug-induced cytopenia and immunosuppression. Azole antifungal agents, frequently used for the prevention and treatment of fungal infections, are known to inhibit CYP enzymes. This inhibition can increase the plasma concentrations of targeted therapies, thereby enhancing their toxicity and increasing the risk of severe adverse effects. The degree of interaction is influenced not only by specific drug combinations but also by interindividual variability. Advanced pharmacokinetic approaches such as concentration ratio-interaction risk methods, physiologically based pharmacokinetic modeling, and population pharmacokinetic analysis allow for the prediction and evaluation of such interactions. These tools enable more precise drug selection and dosage adjustments tailored to individual patients, supporting treatment personalization and promoting safer, more effective drug therapy in clinical practice.</p>","PeriodicalId":93844,"journal":{"name":"[Rinsho ketsueki] The Japanese journal of clinical hematology","volume":"66 9","pages":"1215-1221"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Drug-drug interactions between antifungal agents and molecular-targeted agents].\",\"authors\":\"Takeo Yamagiwa\",\"doi\":\"10.11406/rinketsu.66.1215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Drug interactions occur when the concomitant use of multiple drugs enhances or reduces their pharmacological effects, or causes unexpectedly strong adverse reactions. Major mechanisms include alterations in cytochrome P450 (CYP) enzyme activity, chelation within the gastrointestinal tract, and inhibition of renal transporters. In the treatment of hematologic malignancies, combination of molecular targeted therapies with immunosuppressants often increases the risk of infections due to drug-induced cytopenia and immunosuppression. Azole antifungal agents, frequently used for the prevention and treatment of fungal infections, are known to inhibit CYP enzymes. This inhibition can increase the plasma concentrations of targeted therapies, thereby enhancing their toxicity and increasing the risk of severe adverse effects. The degree of interaction is influenced not only by specific drug combinations but also by interindividual variability. Advanced pharmacokinetic approaches such as concentration ratio-interaction risk methods, physiologically based pharmacokinetic modeling, and population pharmacokinetic analysis allow for the prediction and evaluation of such interactions. These tools enable more precise drug selection and dosage adjustments tailored to individual patients, supporting treatment personalization and promoting safer, more effective drug therapy in clinical practice.</p>\",\"PeriodicalId\":93844,\"journal\":{\"name\":\"[Rinsho ketsueki] The Japanese journal of clinical hematology\",\"volume\":\"66 9\",\"pages\":\"1215-1221\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Rinsho ketsueki] The Japanese journal of clinical hematology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11406/rinketsu.66.1215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Rinsho ketsueki] The Japanese journal of clinical hematology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11406/rinketsu.66.1215","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

当多种药物同时使用增强或减弱其药理作用,或引起意想不到的强烈不良反应时,就会发生药物相互作用。主要机制包括细胞色素P450 (CYP)酶活性的改变、胃肠道内的螯合作用和肾转运蛋白的抑制。在血液系统恶性肿瘤的治疗中,分子靶向治疗与免疫抑制剂联合使用往往会增加药物性细胞减少和免疫抑制引起的感染风险。唑类抗真菌药物常用于预防和治疗真菌感染,已知可抑制CYP酶。这种抑制可以增加靶向治疗的血浆浓度,从而增强其毒性并增加严重不良反应的风险。相互作用的程度不仅受到特定药物组合的影响,还受到个体间变异性的影响。先进的药代动力学方法,如浓度比相互作用风险方法、基于生理学的药代动力学建模和群体药代动力学分析,可以预测和评估这种相互作用。这些工具能够更精确地为个体患者选择药物和调整剂量,支持治疗个性化,并在临床实践中促进更安全、更有效的药物治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Drug-drug interactions between antifungal agents and molecular-targeted agents].

Drug interactions occur when the concomitant use of multiple drugs enhances or reduces their pharmacological effects, or causes unexpectedly strong adverse reactions. Major mechanisms include alterations in cytochrome P450 (CYP) enzyme activity, chelation within the gastrointestinal tract, and inhibition of renal transporters. In the treatment of hematologic malignancies, combination of molecular targeted therapies with immunosuppressants often increases the risk of infections due to drug-induced cytopenia and immunosuppression. Azole antifungal agents, frequently used for the prevention and treatment of fungal infections, are known to inhibit CYP enzymes. This inhibition can increase the plasma concentrations of targeted therapies, thereby enhancing their toxicity and increasing the risk of severe adverse effects. The degree of interaction is influenced not only by specific drug combinations but also by interindividual variability. Advanced pharmacokinetic approaches such as concentration ratio-interaction risk methods, physiologically based pharmacokinetic modeling, and population pharmacokinetic analysis allow for the prediction and evaluation of such interactions. These tools enable more precise drug selection and dosage adjustments tailored to individual patients, supporting treatment personalization and promoting safer, more effective drug therapy in clinical practice.

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:604180095
Book学术官方微信