Evidence map›Paper›PMID 29315487›Full record

ArticleBiotechnology and bioengineering2018

Using extensional flow to reveal diverse aggregation landscapes for three IgG1 molecules.

Leon F Willis, Amit Kumar, John Dobson, Nicholas J Bond, David Lowe, Richard Turner, Sheena E Radford, Nikil Kapur, David J Brockwell

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Leon F WillisAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, West Yorkshire, UK.ORCID 0000-0001-6616-3716
Amit KumarAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, West Yorkshire, UK.
John DobsonSchool of Mechanical Engineering, Faculty of Engineering, University of Leeds, Leeds, West Yorkshire, UK.
Nicholas J BondMedImmune Ltd, Granta Park, Cambridge, UK.
David LoweMedImmune Ltd, Granta Park, Cambridge, UK.
Richard TurnerMedImmune Ltd, Granta Park, Cambridge, UK.
Sheena E RadfordAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, West Yorkshire, UK.
Nikil KapurSchool of Mechanical Engineering, Faculty of Engineering, University of Leeds, Leeds, West Yorkshire, UK.ORCID 0000-0003-1041-8390
David J BrockwellAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, West Yorkshire, UK.ORCID 0000-0002-0802-5937

Funding

European Research Council 322408
6 · The paper itself

Abstract

Monoclonal antibodies (mAbs) currently dominate the biopharmaceutical sector due to their potency and efficacy against a range of disease targets. These proteinaceous therapeutics are, however, susceptible to unfolding, mis-folding, and aggregation by environmental perturbations. Aggregation thus poses an enormous challenge to biopharmaceutical development, production, formulation, and storage. Hydrodynamic forces have also been linked to aggregation, but the ability of different flow fields (e.g., shear and extensional flow) to trigger aggregation has remained unclear. To address this question, we previously developed a device that allows the degree of extensional flow to be controlled. Using this device we demonstrated that mAbs are particularly sensitive to the force exerted as a result of this flow-field. Here, to investigate the utility of this device to bio-process/biopharmaceutical development, we quantify the effects of the flow field and protein concentration on the aggregation of three mAbs. We show that the response surface of mAbs is distinct from that of bovine serum albumin (BSA) and also that mAbs of similar sequence display diverse sensitivity to hydrodynamic flow. Finally, we show that flow-induced aggregation of each mAb is ameliorated by different buffers, opening up the possibility of using the device as a formulation tool. Perturbation of the native state by extensional flow may thus allow identification of aggregation-resistant mAb candidates, their bio-process parameters and formulation to be optimized earlier in the drug-discovery pipeline using sub-milligram quantities of material.

Indexed as

Protein AggregatesProtein DenaturationProtein MultimerizationAntibodies, MonoclonalImmunoglobulin GRecombinant ProteinsAntibodies, MonoclonalImmunoglobulin GProtein AggregatesRecombinant Proteinsaggregationantibodybioprocessingextensional flowshear flow

Identifiers

PMID29315487
PMCPMC5900942

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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.