Suppr超能文献

基于液相色谱/质谱联用的艾司西酞普兰在重度抑郁症患者中的血浆代谢谱研究。

Liquid chromatography/mass spectrometry-based plasma metabolic profiling study of escitalopram in subjects with major depressive disorder.

作者信息

Bandu Raju, Lee Hyun Jeong, Lee Hyeong Min, Ha Tae Hyon, Lee Heon-Jeong, Kim Se Joo, Ha Kyooseob, Kim Kwang Pyo

机构信息

Department of Applied Chemistry, Institute of Natural Science, Kyung Hee Medical Science Research Institute, College of Applied Science, Kyung Hee University, Yong-in, 17104, Republic of Korea.

Mental Health Clinic, National Cancer Center, Goyang, Kyeonggi, 10408, Republic of Korea.

出版信息

J Mass Spectrom. 2018 May;53(5):385-399. doi: 10.1002/jms.4070.

Abstract

Liquid chromatography-mass spectrometry (LC-MS) method revealed the plasma metabolite profiles in major depressive disorder patients treated with escitalopram (ECTP) (n = 7). Depression severity was assessed according to the 17-item Hamilton Depression Rating Scale. Metabolic profiles were derived from major depressive disorder subject blood samples collected after ECTP treatment. Blood plasma was separated and processed in order to effectively extract metabolites, which were then analyzed using LC-MS. We identified 19 metabolites and elucidated their structures using LC-tandem MS (LC-MS/MS) combined with elemental compositions derived from accurate mass measurements. We further used online H/D exchange experiments to verify the structural elucidations of each metabolite. Identifying molecular metabolites may provide critical insights into the pharmacological and clinical effects of ECTP treatment and may also provide useful information informing the development of new antidepressant treatments. These detailed plasma metabolite analyses may also be used to identify optimal dose concentrations in psychopharmacotherapeutic treatment through drug monitoring, as well as forming the basis for response predictions in depressed subjects.

摘要

液相色谱 - 质谱联用(LC - MS)方法揭示了接受艾司西酞普兰治疗的重度抑郁症患者(ECTP)(n = 7)的血浆代谢物谱。根据17项汉密尔顿抑郁量表评估抑郁严重程度。代谢物谱来自ECTP治疗后采集的重度抑郁症患者血样。分离并处理血浆以有效提取代谢物,然后使用LC - MS进行分析。我们鉴定出19种代谢物,并通过液相色谱 - 串联质谱(LC - MS/MS)结合精确质量测量得出的元素组成来阐明其结构。我们进一步使用在线氢/氘交换实验来验证每种代谢物的结构解析。鉴定分子代谢物可能为ECTP治疗的药理和临床效果提供关键见解,也可能为开发新的抗抑郁治疗提供有用信息。这些详细的血浆代谢物分析还可用于通过药物监测确定精神药物治疗中的最佳剂量浓度,并为抑郁症患者的反应预测奠定基础。

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