Evidence map›Paper›PMID 24443710›Full record

ArticleCurrent opinion in chemical engineering2013

Back to the future: recombinant polyclonal antibody therapeutics.

Xian-Zhe Wang, Vincent W Coljee, Jennifer A Maynard

Open access · greenAbstract read
In one paragraph

Article in Current opinion in chemical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  12. Engineering therapeutic antibodies to combat infectious diseases.Current opinion in chemical engineering · 2018
    Article
  13. Review
  14. Review
  15. Review
  16. Oligoclonal antibodies to target the ErbB family.Expert opinion on biological therapy · 2015
    Review
  17. Article
  18. Article
  19. Technological advances in precision medicine and drug development.Expert review of precision medicine and drug development
    Article
  20. 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 2 institutions in 1 country.

Xian-Zhe WangDepartment of Chemistry, University of Texas at Austin, Austin, TX 78712.
Vincent W ColjeeDepartment of Physics, Harvard University, Cambridge, MA 02138.
Jennifer A MaynardChemical Engineering, University of Texas at Austin, Austin, TX 78712.
Harvard University · USThe University of Texas at Austin · US

Funding

Returning to the workforce supplement request for R01 GM095638R01GM095638 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MAYNARD, JENNIFER A · 2010 to 2014
$1.3M
NIGMS NIH HHS R01 GM095638
6 · The paper itself

Abstract

Antibody therapeutics are one of the fastest growing classes of pharmaceuticals, with an annual US market over $20 billion, developed to treat a variety of diseases including cancer, auto-immune and infectious diseases. Most are currently administered as a single molecule to treat a single disease, however there is mounting evidence that cocktails of multiple antibodies, each with a unique binding specificity and protective mechanism, may improve clinical efficacy. Here, we review progress in the development of oligoclonal combinations of antibodies to treat disease, focusing on identification of synergistic antibodies. We then discuss the application of modern antibody engineering technologies to produce highly potent antibody preparations, including oligoclonal antibody cocktails and truly recombinant polyclonal antibodies. Specific examples illustrating the synergy conferred by multiple antibodies will be provided for diseases caused by botulinum toxin, cancer and immune thrombocytopenia. The bioprocessing and regulatory options for these preparations will be discussed.

Identifiers

PMID24443710
PMCPMC3892273
OpenAlexW2010151391

What OpenQuestion holds

Textmetadata
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.