Evidence map›Paper›PMID 40151946›Full record

ArticlemAbs2025

Rapid affinity-based purification of multi-specific antibodies using Kappa Select and Protein L.

Kalie Mix, Tingwan Sun, Brian Hall, Jocelyn Newton, Christina Eng, Yongjing Guo, David Reczek

Abstract read
In one paragraph

Article in mAbs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Kalie MixSanofi US Large Molecule Research, Cambridge, MA, USA.ORCID 0000-0002-2836-5744
Tingwan SunSanofi US Large Molecule Research, Cambridge, MA, USA.
Brian HallSanofi US Large Molecule Research, Cambridge, MA, USA.
Jocelyn NewtonSanofi US Large Molecule Research, Cambridge, MA, USA.
Christina EngSanofi US Large Molecule Research, Cambridge, MA, USA.
Yongjing GuoSanofi US Large Molecule Research, Cambridge, MA, USA.
David ReczekSanofi US Large Molecule Research, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispecific antibodies (msAbs) are becoming more prevalent as formats of choice for therapeutic antibody development due to their ability to modulate multiple biological targets. However, msAbs present unique protein production challenges due to product-related impurities, which are difficult to remove without loss of the protein of interest. Here, we report a versatile approach to remove product-related impurities by altering the binding affinity of light chains to Kappa Select (KS) or Protein L (Pro-L) resins. Introduction of amino acid mutations in the constant light chain domain or Framework 1 of the light chain abolished binding to KS and Pro-L resins, respectively, while antigen binding affinity remained intact. These purification-enabling mutations (PEMs) did not affect the thermal stability or purity of the proteins tested. In conjunction with PEMs, we demonstrate the design and application of an entirely affinity-based purification scheme employing Protein A (Pro-A), followed by KS and Pro-L affinity resins, to remove light chain mispaired species in Y-shaped bispecific antibodies and crossover dual variable domain (CODV) tri-specific antibodies. In principle, this purification scheme could be applied to any IgG-like msAb since it is compatible with Fc knobs-into-holes mutations and Fab arm charge-pair mutations. Moreover, it should be adaptable across a range of production scales and medium to high-throughput purification workflows within early-stage research.

Indexed as

Antibodies, BispecificChromatography, AffinityImmunoglobulin kappa-ChainsAnimalsHumansStaphylococcal Protein AAntibodies, BispecificImmunoglobulin kappa-ChainsStaphylococcal Protein ABispecific antibodiesCODVmulti-specific antibodiesprotein purificationtrispecific antibodies

Identifiers

PMID40151946
PMCPMC11959895

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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.