Evidence map›Paper›PMID 31868219›Full record

ArticleProtein engineering, design & selection : PEDS2019

Electrostatic interactions modulate the differential aggregation propensities of IgG1 and IgG4P antibodies and inform charged residue substitutions for improved developability.

James T Heads, Richard Lamb, Sebastian Kelm, Ralph Adams, Peter Elliott, Kerry Tyson, Sarfaraj Topia, Shauna West, Ruodan Nan, Alison Turner and 1 more

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

11 authors.

James T HeadsUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Richard LambUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Sebastian KelmUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Ralph AdamsUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Peter ElliottUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Kerry TysonUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Sarfaraj TopiaUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Shauna WestUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Ruodan NanUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Alison TurnerUCB Pharma, Slough, Berkshire SL1 3WE, UK.
Alastair D G LawsonUCB Pharma, Slough, Berkshire SL1 3WE, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Native state aggregation is an important concern in the development of therapeutic antibodies. Enhanced knowledge of mAb native state aggregation mechanisms would permit sequence-based selection and design of therapeutic mAbs with improved developability. We investigated how electrostatic interactions affect the native state aggregation of seven human IgG1 and IgG4P mAb isotype pairs, each pair having identical variable domains that are different for each set of IgG1 and IgG4P constructs. Relative aggregation propensities were determined at pH 7.4, representing physiological conditions, and pH 5.0, representing commonly used storage conditions. Our work indicates that the net charge state of variable domains relative to the net charge state of the constant domains is predominantly responsible for the different native state aggregation behavior of IgG1 and IgG4P mAbs. This observation suggests that the global net charge of a multi domain protein is not a reliable predictor of aggregation propensity. Furthermore, we demonstrate a design strategy in the frameworks of variable domains to reduce the native state aggregation propensity of mAbs identified as being aggregation-prone. Importantly, substitution of specifically identified residues with alternative, human germline residues, to optimize Fv charge, resulted in decreased aggregation potential at pH 5.0 and 7.4, thus increasing developability.

Indexed as

Amino Acid SubstitutionProtein EngineeringStatic ElectricityImmunoglobulin GModels, MolecularProtein AggregatesProtein ConformationImmunoglobulin GProtein AggregatesaggregationantibodyFabFvIgG1IgG4PisotypemAbprediction

Identifiers

PMID31868219
PMCPMC7036597

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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.