Evidence map›Paper›PMID 30296204›Full record

ArticlemAbs2019

Comprehensive characterisation of the heterogeneity of adalimumab via charge variant analysis hyphenated on-line to native high resolution Orbitrap mass spectrometry.

Florian Füssl, Anne Trappe, Ken Cook, Kai Scheffler, Oliver Fitzgerald, Jonathan Bones

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Review
  9. Article
  10. Consistency of Product Quality for SB5, an Adalimumab Biosimilar.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Article
  11. Article
  12. Article
  13. Review
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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

6 authors at 4 institutions in 3 countries.

Florian Füssla Characterisation and Comparability Lab , NIBRT - The National Institute for Bioprocessing Research and Training , Co , Dublin , Ireland.
Anne Trappea Characterisation and Comparability Lab , NIBRT - The National Institute for Bioprocessing Research and Training , Co , Dublin , Ireland.ORCID 0000-0001-7349-9592
Ken Cookc Thermo Fisher Scientific , Hemel Hempstead , UK.
Kai Schefflerd Thermo Fisher Scientific , Germering , Germany.ORCID 0000-0002-9099-4859
Oliver Fitzgeralde St. Vincent's University Hospital , Dublin 4 , Ireland.
Jonathan Bonesa Characterisation and Comparability Lab , NIBRT - The National Institute for Bioprocessing Research and Training , Co , Dublin , Ireland.ORCID 0000-0002-8978-2592
National Institute for Bioprocessing Research and Training · IEUniversity College Dublin · IEThermo Fisher Scientific (Germany) · DEThermo Fisher Scientific (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Charge variant analysis is a widely used tool to monitor changes in product quality during the manufacturing process of monoclonal antibodies (mAbs). Although it is a powerful technique for revealing mAb heterogeneity, an unexpected outcome, for example the appearance of previously undetected isoforms, requires further, time-consuming analysis. The process of identifying these unknowns can also result in unwanted changes to the molecule that are not attributable to the manufacturing process. To overcome this, we recently reported a method combining highly selective cation exchange chromatography-based charge variant analysis with on-line mass spectrometric (MS) detection. We further explored and adapted the chromatographic buffer system to expand the application range. Moreover, we observed no salt adducts on the native protein, also supported by the optimal choice of MS parameters, resulting in increased data quality and mass accuracy. Here, we demonstrate the utility of this improved method by performing an in-depth analysis of adalimumab before and after forced degradation. By combining molecular mass and retention time information, we were able to identify multiple modifications on adalimumab, including lysine truncation, glycation, deamidation, succinimide formation, isomerisation, N-terminal aspartic acid loss or C-terminal proline amidation and fragmentation along with the N-glycan distribution of each of these identified proteoforms. Host cell protein (HCP) analysis was performed using liquid chromatography-mass spectrometry that verified the presence of the protease Cathepsin L. Based on the presence of trace HCPs with catalytic activity, it can be questioned if fragmentation is solely driven by spontaneous hydrolysis or possibly also by enzymatic degradation.

Indexed as

AdalimumabTandem Mass SpectrometryAdalimumabadalimumabcation exchange chromatographycharge variant analysishigh resolution mass spectrometrymonoclonal antibodiesnative mass spectrometryOrbitrap

Identifiers

PMID30296204
PMCPMC6343805
OpenAlexW2896242216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.