Reduction and denaturation before affinity chromatography for host cell protein removal in aggregate-rich monoclonal antibody

Host cell proteins (HCPs) are important process-related safety concern factors during drug development, clinical trials and manufacturing, and their removal becomes particularly challenging when associated with antibody aggregates. Residual HCPs in drug products could trigger adverse effects or compromise drug efficacy and stability. This study aims to enhance the HCP removal specifically in monoclonal antibodies (mAbs) with high aggregate content before protein A chromatography by introducing reduction and denaturation steps. A model mAb was purified by different processes, and the impact on HCP removal was evaluated by enzyme-linked immunosorbent assay (ELISA) and Liquid chromatography-mass spectrometry (LC-MS). The HCP profiles in high aggregate, low aggregate and monomeric mAbs were analyzed by LC-MS. The additional reduction and denaturation steps improved HCP removal rate by 1.08 log10 reduction value (LRV) compared to the control process. For the relatively abundant high-risk HCPs, 45% were completely removed. HCP removal in the model mAb was significantly enhanced, especially in high aggregate forms. This method can reduce HCP carry-over from mAbs aggregates in subsequent downstream processing and can provide an efficient HCP removal strategy for manufacturing to improve patient safety and drug stability.

Authors

Publication Details

Journal
Preparative Biochemistry & Biotechnology
Published
2026-04-21
DOI
https://doi.org/10.1080/10826068.2026.2652405
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reduction and denaturation before affinity chromatography for host cell protein removal in aggregate-rich monoclonal antibody

Zhipeng Zhao, Kaisheng Huang, Guiping Qi, Yichen Zhang et al.
Preparative Biochemistry & Biotechnology
Protein purification and stability
article

Reduction and denaturation before affinity chromatography for host cell protein removal in aggregate-rich monoclonal antibody

Zhipeng Zhao, Kaisheng Huang, Guiping Qi, Yichen Zhang, Changrui Zou, Sean Xiangyuan He, Tianwei Huang
article en

Abstract

Host cell proteins (HCPs) are important process-related safety concern factors during drug development, clinical trials and manufacturing, and their removal becomes particularly challenging when associated with antibody aggregates. Residual HCPs in drug products could trigger adverse effects or compromise drug efficacy and stability. This study aims to enhance the HCP removal specifically in monoclonal antibodies (mAbs) with high aggregate content before protein A chromatography by introducing reduction and denaturation steps. A model mAb was purified by different processes, and the impact on HCP removal was evaluated by enzyme-linked immunosorbent assay (ELISA) and Liquid chromatography-mass spectrometry (LC-MS). The HCP profiles in high aggregate, low aggregate and monomeric mAbs were analyzed by LC-MS. The additional reduction and denaturation steps improved HCP removal rate by 1.08 log10 reduction value (LRV) compared to the control process. For the relatively abundant high-risk HCPs, 45% were completely removed. HCP removal in the model mAb was significantly enhanced, especially in high aggregate forms. This method can reduce HCP carry-over from mAbs aggregates in subsequent downstream processing and can provide an efficient HCP removal strategy for manufacturing to improve patient safety and drug stability.

Preparative Biochemistry & Biotechnology
Zero hunger
Openalex Percentile: Top 8%
Protein purification and stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.