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通过策略性调节 pH 值、离子强度和溶剂强度,实现抗体非依赖、肽段水平、多种机制富集,从而实现高通量、高灵敏度的生物治疗药物和生物标志物的 LC-MS 定量分析。

High-Throughput, Sensitive LC-MS Quantification of Biotherapeutics and Biomarkers Using Antibody-Free, Peptide-Level, Multiple-Mechanism Enrichment via Strategic Regulation of pH and Ionic and Solvent Strengths.

机构信息

The Department of Pharmaceutical Sciences , University at Buffalo, State University of New York , Buffalo , New York 14214 , United States.

New York State Center of Excellence in Bioinformatics and Life Sciences , Buffalo , New York 14203 , United States.

出版信息

Anal Chem. 2019 Mar 5;91(5):3475-3483. doi: 10.1021/acs.analchem.8b05046. Epub 2019 Feb 15.

Abstract

Sensitive and high-throughput measurement of biotherapeutics and biomarkers in plasma and tissues is critical for protein-drug development. Enrichment of target signature peptide (SP) after sample digestion permits sensitive LC-MS-based protein quantification and carries several prominent advantages over protein-level enrichment; however, developing high-quality antipeptide antibodies is challenging. Here we describe a novel, antibody-free, peptide-level-enrichment technique enabling high-throughput, sensitive, and robust quantification of proteins in biomatrices, by highly selective removal of matrix peptides and components via cation-exchange (CX) reversed-phase (RP) SPE with strategically regulated pH and ionic and organic strengths. Multiple-mechanism washing and elution achieved highly selective separation despite the low plate number of the SPE cartridge. We first investigated the adsorption-desorption behaviors of peptides on CX-RP sorbent and the coexisting, perplexing effects of pH, and ionic and organic strengths on the selectivity for SP enrichment, which has not been previously characterized. We demonstrated that the selectivity for separating target SPs from matrix peptides was closely associated with buffer pH relative to the pI of the SP, and pH values of pI - 2, pI, and pI + 2 respectively provided exceptional specificity for the ionic wash, the hydrophobic wash, and selective elution. Furthermore, desorption of peptides from the mixed-mode sorbent showed exponential and linear dependence, respectively, on organic-solvent percentage and salt percentage. On the basis of these findings, we established a streamlined procedure for rapid and robust method development. Quantification of biotherapeutics, targets, and biomarkers in plasma and tissues was used as the model system. Selective enrichment of target SPs was achieved along with elimination of 87-95% of matrix peptides, which improved the LOQ by 20-fold (e.g., 2 ng per gram of tissue). Application was demonstrated by sensitive quantification of time courses of mAb (T84.66) and target (CEA) in plasma and tumor tissues from a low-dose mouse PK study. For the first time, down-regulation of membrane-associated antigen following mAb treatment was observed. The CX-RP enrichment is robust, high-throughput, and universally applicable and thus is highly valuable for ultrasensitive, large-scale measurement of target protein in plasma and tissues.

摘要

在血浆和组织中灵敏且高通量地检测生物治疗药物和生物标志物对于蛋白药物的开发至关重要。在样品消化后,对目标特征肽(SP)进行富集可实现基于 LC-MS 的灵敏蛋白定量,并具有优于蛋白水平富集的几个显著优势;然而,开发高质量的抗肽抗体具有挑战性。在这里,我们描述了一种新颖的、无抗体的肽水平富集技术,通过通过阳离子交换(CX)反相(RP)SPE 以策略性调节 pH 值、离子和有机强度,高度选择性地去除基质肽和成分,从而实现生物基质中蛋白质的高通量、灵敏和稳健定量。尽管 SPE 小柱的板数较低,但通过多种机制的洗涤和洗脱实现了高度选择性分离。我们首先研究了肽在 CX-RP 吸附剂上的吸附-解吸行为,以及 pH 值、离子和有机强度对 SP 富集选择性的复杂影响,这一点以前尚未得到表征。我们证明,从基质肽中分离目标 SP 的选择性与缓冲液 pH 值相对于 SP 的等电点密切相关,pH 值分别为 pI-2、pI 和 pI+2 分别为离子洗脱、疏水洗脱和选择性洗脱提供了出色的特异性。此外,肽从混合模式吸附剂上的解吸分别与有机溶剂百分比和盐百分比呈指数和线性关系。在此基础上,我们建立了一种快速稳健的方法开发流程。血浆和组织中的生物治疗药物、靶标和生物标志物的定量分析被用作模型系统。实现了目标 SP 的选择性富集,同时消除了 87-95%的基质肽,使 LOQ 提高了 20 倍(例如,组织中每克 2ng)。通过在低剂量小鼠 PK 研究中对 mAb(T84.66)和靶标(CEA)在血浆和肿瘤组织中的时间过程进行敏感定量,验证了其应用。首次观察到 mAb 治疗后膜相关抗原的下调。CX-RP 富集稳健、高通量且具有普遍适用性,因此非常适合于血浆和组织中目标蛋白的超灵敏、大规模测量。

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