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采用质量源于设计理念开发用于靶向检测心血管疾病患者血浆中小醛类代谢物的顶空微萃取 GC-MS 方法。

Quality-by-design approach for development of aqueous headspace microextraction GC-MS method for targeted metabolomics of small aldehydes in plasma of cardiovascular patients.

机构信息

Department of Pharmaceutical Chemistry, Faculty of Pharmacy and Biotechnology, German University in Cairo, New Cairo 11835, Cairo, Egypt.

Pharmaceutical (Bio-)Analysis, Institute of Pharmaceutical Sciences, University of Tübingen, Auf der Morgenstelle 8, 72076, Tübingen, Germany.

出版信息

Anal Chim Acta. 2022 Aug 15;1221:340176. doi: 10.1016/j.aca.2022.340176. Epub 2022 Jul 16.

Abstract

Lipid peroxidation products, such as short chain aldehydes, are powerful biomarkers of oxidative stress, due to the advantage of long lifetime compared to other metabolites of the lipidome. This work proposes an advanced combined derivatization/solvent-less extraction procedure from plasma followed by rapid Gas Chromatography with Mass Spectrometric detection (GC-MS). A new sample pretreatment protocol is presented which is based on a combination of aldehyde derivatization with methoxyamine under fully aqueous-based conditions of diluted plasma samples followed by headspace solid-phase microextraction (HS-SPME) which is faster compared to methods in the literature serving the same purpose. Being the smallest oximation reagent, methoxyamine derivatization does not require a silylation step of hydroxyl groups as customary and made it possible to have the shortest run times for this series of aldehydes by GC-MS. A Response Surface Methodology (RSM) is employed to optimize the HS-SPME of the aldehyde methoximes to provide insights into the Design Space (DS) of HS-SPME of aldehydes of variable chain lengths and unsaturation. The workflow includes a Quality by Design (QbD) approach for optimization of sample microextraction and derivatization methodology under fully aqueous conditions, in contrast to all reported non-aqueous tedious and long extraction methods in the literature followed by development of a rapid GC-MS assay. The optimal sample preparation obtained from the RSM, and multiple linear regression procedure involved addition of 15 mg methoxyamine (CHONH) and 160 mg NaSO to 0.5 mL plasma diluted to 1 mL with water in an extraction vial followed by HS-SPME using Polydimethylsiloxane/Divinylbenzene fiber at 750 rpm and 77 °C for 15 min. The developed HS-SPME-GC-MS method was validated according to FDA guidelines in SIM mode and applied for targeted determination of lipid peroxidation aldehyde metabolites in plasma of 24 cardiovascular patients vs 20 healthy controls. The run time of the GCMS method was less than 15 min and the LOQ of the 10 targeted aldehydes were 0.5 nM for decanal, 5 nM for hexanal, heptanal, octanal, citronellal and citral, 7 nM for malondialdehyde, 35 nM for 4- hydroxynonenal, 105 nM for 4- hydroxyhexenal and 500 nM for glyoxal. Hexanal, Malondialdehyde and Hydroxynonenal concentrations were significantly higher in patients (p-value<0.05) in the targeted study, while citral was significantly lower as obtained from the untargeted study. Reporting an aldehydic profile signature -whether predictive or diagnostic-for cardiovascular patients would support proper medical intervention at the initiation or progression phases of the disease when expanded on larger number of subjects.

摘要

脂质过氧化产物,如短链醛,是氧化应激的有力生物标志物,因为与脂质组的其他代谢物相比,其具有较长的寿命优势。本工作提出了一种先进的联合衍生化/无溶剂提取方法,从血浆中提取,然后采用快速气相色谱与质谱检测(GC-MS)。提出了一种新的样品预处理方案,该方案基于在稀释的血浆样品的完全水性条件下用甲氧基胺进行醛衍生化,然后进行顶空固相微萃取(HS-SPME),与用于相同目的的文献中的方法相比,这更快。作为最小的肟化试剂,甲氧基胺衍生化不需要通常需要的羟基硅烷化步骤,这使得通过 GC-MS 对这些醛进行最短的运行时间成为可能。响应面法(RSM)用于优化醛肟的 HS-SPME,以深入了解不同链长和不饱和度的醛的 HS-SPME 的设计空间(DS)。该工作流程包括采用质量源于设计(QbD)方法优化完全水性条件下的样品微萃取和衍生化方法,与文献中所有报道的非水性繁琐且耗时的提取方法相反,然后开发快速 GC-MS 分析方法。从 RSM 获得的最佳样品制备和涉及的多元线性回归程序包括在提取小瓶中加入 15mg 甲氧基胺(CHONH)和 160mg NaSO 至 0.5mL 稀释至 1mL 的水的血浆中,然后使用聚二甲基硅氧烷/二乙烯基苯纤维在 750rpm 和 77°C 下进行 HS-SPME 15min。根据 FDA 指南在 SIM 模式下验证了开发的 HS-SPME-GC-MS 方法,并将其应用于 24 名心血管患者与 20 名健康对照者的血浆中脂质过氧化醛代谢物的靶向测定。GCMS 方法的运行时间少于 15min,10 种靶向醛的 LOQ 分别为癸醛 0.5nM、己醛、庚醛、辛醛、柠檬醛和柠檬醛 5nM、丙二醛 7nM、4-羟壬醛 35nM、4-羟基己烯醛 105nM 和乙二醛 500nM。在靶向研究中,患者的己醛、丙二醛和羟壬醛浓度明显更高(p 值<0.05),而在非靶向研究中,柠檬醛明显更低。报告心血管患者的醛谱特征 - 无论是预测性还是诊断性 - 都将支持在疾病的起始或进展阶段进行适当的医疗干预,当在更大数量的受试者中扩展时。

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