Evidence map›Paper›PMID 33201770›Full record

ArticleBioengineered2020

Development and validation of a platform reduced intact mass method for process monitoring of monoclonal antibody glycosylation during routine manufacturing.

Michael Schilling, Pamela Feng, Zoran Sosic, Stacey L Traviglia

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Michael SchillingQuality Control, Biogen, Inc., Research Triangle Park , NC, USA.
Pamela FengAnalytical Development, Biogen, Inc ., Cambridge, MA, USA.
Zoran SosicAnalytical Development, Biogen, Inc ., Cambridge, MA, USA.
Stacey L TravigliaQuality Control, Biogen, Inc., Research Triangle Park , NC, USA.
Biogen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N-linked glycosylation is a primary source of heterogeneity associated with recombinant monoclonal antibodies and plays a key role in a myriad of drug properties associated with biological function. The glycosylation profile of recombinant monoclonal antibodies is influenced by an array of cell culture inputs which must be carefully controlled in order to engineer the desired glycan distribution. A platform reduced intact mass method applied to monoclonal antibodies has been validated as a quantitative method to monitor the relative mannose-5 level as a surrogate for overall high mannose content in cell culture as a control strategy to ensure product quality and process consistency. The method was shown to be linear, accurate, specific, and precise for an IgG1 and IgG4 mAb allowing relative quantitation of mannose-5 in the range 0.8-11.0% and 1.0-6.2%, respectively. The method can be applied at several stages of the production process from cell culture harvest to drug substance/drug product and is amenable to routine GMP batch testing in a quality control laboratory. Testing upstream during cell culture rather than for product release allows for an earlier assessment of product quality as the glycosylation profile remains unchanged during downstream purification.

Indexed as

Antibodies, MonoclonalGlycosylationImmunoglobulin GMannoseModels, BiologicalRecombinant ProteinsAntibodies, MonoclonalImmunoglobulin GMannoseRecombinant ProteinscGMPglycosylationLC-MSmannose-5recombinant monoclonal antibodyreduced intact massvalidation

Identifiers

PMID33201770
PMCPMC8291849
OpenAlexW3105323330

What OpenQuestion holds

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LicenceCC BY-NC
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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.