Evidence map›Paper›PMID 36354552›Full record

ArticleBioengineering (Basel, Switzerland)2022

Challenges and Strategies for a Thorough Characterization of Antibody Acidic Charge Variants.

Y Diana Liu, Lance Cadang, Karenna Bol, Xiao Pan, Katherine Tschudi, Mansour Jazayri, Julien Camperi, David Michels, John Stults, Reed J Harris and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2022. 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
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 19 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

11 authors.

Y Diana LiuPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.ORCID 0000-0002-1559-2622
Lance CadangPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Karenna BolPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Xiao PanPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Katherine TschudiPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Mansour JazayriPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Julien CamperiPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.ORCID 0000-0002-4020-2278
David MichelsPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
John StultsPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Reed J HarrisPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.
Feng YangPharma Technical Development, Genentech/Roche, South San Francisco, CA 94080, USA.ORCID 0000-0003-0769-5573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity of therapeutic Monoclonal antibody (mAb) drugs are due to protein variants generated during the manufacturing process. These protein variants can be critical quality attributes (CQAs) depending on their potential impact on drug safety and/or efficacy. To identify CQAs and ensure the drug product qualities, a thorough characterization is required but challenging due to the complex structure of biotherapeutics. Past characterization studies for basic and acidic variants revealed that full characterizations were limited to the basic charge variants, while the quantitative measurements of acidic variants left gaps. Consequently, the characterization and quantitation of acidic variants are more challenging. A case study of a therapeutic mAb1 accounted for two-thirds of the enriched acidic variants in the initial characterization study. This led to additional investigations, closing the quantification gaps of mAb1 acidic variants. This work demonstrates that a well-designed study with the right choices of analytical methods can play a key role in characterization studies. Thus, the updated strategies for more complete antibody charge variant characterization are recommended.

Indexed as

antibodybiotherapeuticscharge variant

Identifiers

PMID36354552
PMCPMC9687119
OpenAlexW4308769529

What OpenQuestion holds

Textmetadata
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.