Evidence map›Paper›PMID 31291294›Full record

ArticlePloS one2019

Exploring the analytical power of the QTOF MS platform to assess monoclonal antibodies quality attributes.

Ricardo A Gomes, Conceição Almeida, Catarina Correia, Ana Guerreiro, Ana Luísa Simplício, Isabel A Abreu, Patrícia Gomes Alves

Abstract read
In one paragraph

Article in PloS one, 2019. 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.

  1. Review
  2. Article
  3. Development of a comprehensive approach for performance evaluation of a quantitative multi-attribute method as a quality control method.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. 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

7 authors.

Ricardo A GomesUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.ORCID 0000-0001-7155-0059
Conceição AlmeidaUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.
Catarina CorreiaUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.
Ana GuerreiroUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.
Ana Luísa SimplícioUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.
Isabel A AbreuUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.
Patrícia Gomes AlvesUniMS - Mass Spectrometry Unit, ITQB/IBET, Oeiras, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biopharmaceutical industry is growing at a fast pace, making nowadays 20% of the pharma market. Within this market, therapeutic monoclonal antibodies (mAbs) are the dominant product class. With the patent expirations, biosimilars and, perhaps more relevant, biobetters, are in fast development. Thus, a comprehensive characterization at the molecular level of antibodies heterogeneity such as glycoforms, post-translational modifications (PTMs) and sequence variations is of utmost importance. Mass spectrometry (MS)-based approaches are undoubtedly the most powerful analytical strategies to monitor and define an array of critical quality attributes on mAbs. In this work, we demonstrate the analytical power of the Q-TOF MS platform for comprehensive and detailed analysis at molecular levels of an in-house produced mAb. This methodology involves minimal sample preparation procedures and provides an extensive collection of valuable data in a short period of time.

Indexed as

Antibodies, MonoclonalBiosimilar PharmaceuticalsGlycosylationHumansMass SpectrometryProtein Processing, Post-TranslationalAntibodies, MonoclonalBiosimilar Pharmaceuticals

Identifiers

PMID31291294
PMCPMC6619757

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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.