Evidence map›Paper›PMID 34901768›Full record

ArticleEngineering reports : open access2020

The uniqueness of flow in probing the aggregation behavior of clinically relevant antibodies.

Leon F Willis, Amit Kumar, Tushar Jain, Isabelle Caffry, Yingda Xu, Sheena E Radford, Nikil Kapur, Maximiliano Vásquez, David J Brockwell

Open access · goldAbstract read
In one paragraph

Article in Engineering reports : open access, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Leon F WillisSchool of Molecular and Cellular Biology, Faculty of Biological Sciences University of Leeds Leeds UK.
Amit KumarSchool of Molecular and Cellular Biology, Faculty of Biological Sciences University of Leeds Leeds UK.
Tushar JainAdimab LLC Lebanon New Hampshire USA.
Isabelle CaffryAdimab LLC Lebanon New Hampshire USA.
Yingda XuAdimab LLC Lebanon New Hampshire USA.
Sheena E RadfordSchool of Molecular and Cellular Biology, Faculty of Biological Sciences University of Leeds Leeds UK.
Nikil KapurSchool of Mechanical Engineering, Faculty of Engineering University of Leeds Leeds UK.
Maximiliano VásquezAdimab LLC Lebanon New Hampshire USA.
David J BrockwellSchool of Molecular and Cellular Biology, Faculty of Biological Sciences University of Leeds Leeds UK.
Adimab (United States) · USUniversity of Leeds · GBInstitute of Structural and Molecular Biology · GBCornell University · US

Funding

Wellcome Trust 204963Wellcome Trust 204963/Z/16/Z
6 · The paper itself

Abstract

The development of therapeutic monoclonal antibodies (mAbs) can be hindered by their tendency to aggregate throughout their lifetime, which can illicit immunogenic responses and render mAb manufacturing unfeasible. Consequently, there is a need to identify mAbs with desirable thermodynamic stability, solubility, and lack of self-association. These behaviors are assessed using an array of in silico and in vitro assays, as no single assay can predict aggregation and developability. We have developed an extensional and shear flow device (EFD), which subjects proteins to defined hydrodynamic forces which mimic those experienced in bioprocessing. Here, we utilize the EFD to explore the aggregation propensity of 33 IgG1 mAbs, whose variable domains are derived from clinical antibodies. Using submilligram quantities of material per replicate, wide-ranging EFD-induced aggregation (9-81% protein in pellet) was observed for these mAbs, highlighting the EFD as a sensitive method to assess aggregation propensity. By comparing the EFD-induced aggregation data to those obtained previously from 12 other biophysical assays, we show that the EFD provides distinct information compared with current measures of adverse biophysical behavior. Assessing a candidate's liability to hydrodynamic force thus adds novel insight into the rational selection of developable mAbs that complements other assays.

Indexed as

aggregationdevelopabilityextensional flowmonoclonal antibodyshear flow

Identifiers

PMID34901768
PMCPMC8638667
OpenAlexW3011142007

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.