Evidence map›Paper›PMID 40634296›Full record

ArticleAnalytical chemistry2025

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

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

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yipei ZhangDepartment of Drug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Inc., 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States.ORCID 0009-0003-4526-8051
Mark G QianDepartment of Drug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Inc., 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States.
Xuemei YangDepartment of Drug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Inc., 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States.
Linlin DongDepartment of Drug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Inc., 35 Landsdowne Street, Cambridge, Massachusetts 02139, United States.ORCID 0000-0002-7944-8582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Immunoglobulin GAnimalsChromatography, AffinityChromatography, LiquidLiverLungMiceTandem Mass SpectrometryImmunoglobulin G

Identifiers

PMID40634296
PMCPMC12291038

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.