Evidence map›Paper›PMID 27766364›Full record

ReviewArchives of toxicology2017

Applicability of predictive toxicology methods for monoclonal antibody therapeutics: status Quo and scope.

Arathi Kizhedath, Simon Wilkinson, Jarka Glassey

Open access · hybridAbstract readReview
In one paragraph

Review in Archives of toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Nanovesicles released by OKT3 hybridoma express fully active antibodies.Journal of enzyme inhibition and medicinal chemistry · 2021
    Article
  4. Article
  5. Post-marketing dosing changes in the label of biologicals.British journal of clinical pharmacology · 2019
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

3 authors at 1 institution in 1 country.

Arathi KizhedathChemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, NE17RU, UK. arathi.kizhedath@newcastle.ac.uk.ORCID http://orcid.org/0000-0002-6939-6416
Simon WilkinsonMedical Toxicology Centre, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE2 4AA, UK.
Jarka GlasseyChemical Engineering and Advanced Materials, Newcastle University, Newcastle upon Tyne, NE17RU, UK.
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biopharmaceuticals, monoclonal antibody (mAb)-based therapeutics in particular, have positively impacted millions of lives. MAbs and related therapeutics are highly desirable from a biopharmaceutical perspective as they are highly target specific and well tolerated within the human system. Nevertheless, several mAbs have been discontinued or withdrawn based either on their inability to demonstrate efficacy and/or due to adverse effects. Approved monoclonal antibodies and derived therapeutics have been associated with adverse effects such as immunogenicity, cytokine release syndrome, progressive multifocal leukoencephalopathy, intravascular haemolysis, cardiac arrhythmias, abnormal liver function, gastrointestinal perforation, bronchospasm, intraocular inflammation, urticaria, nephritis, neuropathy, birth defects, fever and cough to name a few. The advances made in this field are also impeded by a lack of progress in bioprocess development strategies as well as increasing costs owing to attrition, wherein the lack of efficacy and safety accounts for nearly 60 % of all factors contributing to attrition. This reiterates the need for smarter preclinical development using quality by design-based approaches encompassing carefully designed predictive models during early stages of drug development. Different in vitro and in silico methods are extensively used for predicting biological activity as well as toxicity during small molecule drug development; however, their full potential has not been utilized for biological drug development. The scope of in vitro and in silico tools in early developmental stages of monoclonal antibody-based therapeutics production and how it contributes to lower attrition rates leading to faster development of potential drug candidates has been evaluated. The applicability of computational toxicology approaches in this context as well as the pitfalls and promises of extending such techniques to biopharmaceutical development has been highlighted.

Indexed as

Drug DesignAnimalsAntibodies, MonoclonalComputer SimulationDrug Evaluation, PreclinicalHumansModels, BiologicalToxicity TestsAntibodies, MonoclonalIn vitro and in silico toolsMonoclonal antibody-based therapeuticsPredictive toxicologyQSARSafety pharmacology

Identifiers

PMID27766364
PMCPMC5364268
OpenAlexW2532087281

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.