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采用酸处理的双循环免疫亲和富集策略以提高组织中生物治疗药物检测的灵敏度

Two-Cycle Immunoaffinity Enrichment Strategy with Acid Treatment to Enhance Biotherapeutics Assay Sensitivity in Tissues.

作者信息

Zhang Yipei, Qian Mark G, Yang Xuemei, Dong Linlin

机构信息

Department of Drug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Inc., 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States.

出版信息

Anal Chem. 2025 Jul 22;97(28):14899-14904. doi: 10.1021/acs.analchem.5c00927. Epub 2025 Jul 9.

Abstract

Accurate and sensitive bioanalysis of therapeutic antibodies and proteins is crucial for ensuring reliable pharmacokinetic and toxicokinetic assessments. Immunoaffinity (IA) LC/MS/MS plays an important role in quantifying therapeutic antibodies in biological matrices due to its high specificity and less stringent reagent requirements compared to ligand binding assays. However, when analyzing complex tissue matrices, a single immunoaffinity enrichment cycle often leaves unwanted nonspecifically bound proteins in the final samples, resulting in high background noise levels and decreased assay sensitivity. To overcome this challenge, a novel two-cycle immunoaffinity LC-MS/MS method was evaluated for quantifying a mouse IgG2a antibody in mouse tumor, liver, and lung tissues. This method involves an additional automated immunoenrichment cycle after the standard initial cycle, effectively reducing nonspecific protein binding by 7.7-24-fold across three types of tissues. This straightforward high-throughput process successfully addresses the common issue of nonspecific binding in tissues and exhibits a significant 5-fold sensitivity improvement for the mIgG2a in mouse tumor and liver homogenates, achieved through a substantial decrease in background noise. Interestingly, no sensitivity improvement was observed among spiked lung homogenates, likely due to their inherently lower interference responses in the extracted MS/MS chromatograms. Calibration curve and quality control analyses have confirmed the method's precision and accuracy, demonstrating its potential to enhance tissue assay sensitivity without compromising intended exposure measurements. The simplicity and effectiveness of this method make it a valuable tool for studying tumor exposure and tissue distribution, requiring minimal effort for maximum impact.

摘要

治疗性抗体和蛋白质的准确、灵敏生物分析对于确保可靠的药代动力学和毒代动力学评估至关重要。免疫亲和(IA)液相色谱/串联质谱(LC/MS/MS)在生物基质中治疗性抗体的定量分析中发挥着重要作用,因为与配体结合分析相比,它具有高特异性且对试剂要求不那么严格。然而,在分析复杂的组织基质时,单个免疫亲和富集循环通常会在最终样品中留下不需要的非特异性结合蛋白,导致背景噪声水平高且分析灵敏度降低。为了克服这一挑战,评估了一种新型的双循环免疫亲和LC-MS/MS方法,用于定量小鼠肿瘤、肝脏和肺组织中的小鼠IgG2a抗体。该方法在标准初始循环后增加了一个自动免疫富集循环,在三种组织类型中有效将非特异性蛋白质结合减少了7.7至24倍。这个简单的高通量过程成功解决了组织中非特异性结合的常见问题,并且通过大幅降低背景噪声,使小鼠肿瘤和肝脏匀浆中mIgG2a的灵敏度显著提高了5倍。有趣的是,在加标的肺匀浆中未观察到灵敏度提高,可能是因为它们在提取的MS/MS色谱图中固有的干扰响应较低。校准曲线和质量控制分析证实了该方法的精密度和准确性,表明其在不影响预期暴露测量的情况下提高组织分析灵敏度的潜力。该方法的简单性和有效性使其成为研究肿瘤暴露和组织分布的有价值工具,只需付出最小努力就能产生最大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d83/12291038/860ddb37e965/ac5c00927_0001.jpg

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