Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions

Although antibody variable regions mediate antigen-specific binding, they can also mediate non-specific interactions with non-cognate antigens, impacting diverse immunological processes and the efficacy, safety, and half-life of antibody therapeutics. To understand the molecular basis of antibody non-specificity, we sorted two dissimilar human naïve antibody libraries against multiple reagents to enrich for variants with different levels of polyreactivity. Sequence analysis of >300,000 paired antibody variable regions revealed that the heavy chain primarily mediates human antibody polyreactivity, and this is due to the high positive charge, high hydrophobicity, and combinations thereof in the corresponding complementarity-determining regions, which can be predicted using a machine learning model developed in this work. Notably, a subset of the most important features governing antibody non-specific interactions, namely those that contain tyrosine, also govern specific antigen recognition. Our findings are broadly relevant for understanding fundamental aspects of antibody molecular recognition and the applied aspects of antibody-drug design.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2024-10-01
DOI
https://doi.org/10.1016/j.celrep.2024.114801
Citations
12
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
4.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions

Sandeep Kumar, Michael S. Marlow, Peter M. Tessier, Manali Sawant et al.
12 citations
Cell Reports
Monoclonal and Polyclonal Antibodies Research
4.85
article

Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions

Sandeep Kumar, Michael S. Marlow, Peter M. Tessier, Manali Sawant, Matthew D. Smith, Nandhini Rajagopal, Emily K. Makowski, Alec A. Desai, Giuseppe Licari, Jie Huang, Yulei Zhang, Yunxuan Xie, Hsin-Ting Chen
article en
12 citations

Abstract

Although antibody variable regions mediate antigen-specific binding, they can also mediate non-specific interactions with non-cognate antigens, impacting diverse immunological processes and the efficacy, safety, and half-life of antibody therapeutics. To understand the molecular basis of antibody non-specificity, we sorted two dissimilar human naïve antibody libraries against multiple reagents to enrich for variants with different levels of polyreactivity. Sequence analysis of >300,000 paired antibody variable regions revealed that the heavy chain primarily mediates human antibody polyreactivity, and this is due to the high positive charge, high hydrophobicity, and combinations thereof in the corresponding complementarity-determining regions, which can be predicted using a machine learning model developed in this work. Notably, a subset of the most important features governing antibody non-specific interactions, namely those that contain tyrosine, also govern specific antigen recognition. Our findings are broadly relevant for understanding fundamental aspects of antibody molecular recognition and the applied aspects of antibody-drug design.

Cell ReportsVol. 43(10)
University of Michigan (US), BioSurfaces (United States) (US), Boehringer Ingelheim (United States) (US)
National Science Foundation, Boehringer Ingelheim, Boehringer Ingelheim, National Institutes of Health
Zero hunger
Openalex Percentile: Top 4%
Monoclonal and Polyclonal Antibodies Research
4.85
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.