Evidence map›Paper›PMID 20504348›Full record

ArticleJournal of translational medicine2010

Assessing agonistic potential of a candidate therapeutic anti-IL21R antibody.

Yongjing Guo, Andrew A Hill, Renee C Ramsey, Frederick W Immermann, Christopher Corcoran, Deborah Young, Edward R Lavallie, Mark Ryan, Theresa Bechard, Richard Pfeifer and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 2 institutions in 1 country.

Yongjing GuoPfizer, BioTherapeutics Clinical Translational Medicine, Cambridge, MA, USA. margot.otoole@pfizer.com.
Andrew A Hill
Renee C Ramsey
Frederick W Immermann
Christopher Corcoran
Deborah Young
Edward R Lavallie
Mark Ryan
Theresa Bechard
Richard Pfeifer
Garvin Warner
Marcia Bologna
Laird Bloom
Margot O'Toole
Pfizer (United States) · USTakeda (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelective neutralization of the IL21/IL21R signaling pathway is a promising approach for the treatment of a variety of autoimmune diseases. Ab-01 is a human neutralizing anti-IL21R antibody. In order to ensure that the activities of Ab-01 are restricted to neutralization even under in vitro cross-linking and in vivo conditions, a comprehensive assessment of agonistic potential of Ab-01 was undertaken.

methodsIn vitro antibody cross-linking and cell culture protocols reported for studies with a human agonistic antibody, TGN1412, were followed for Ab-01. rhIL21, the agonist ligand of the targeted receptor, and cross-linked anti-CD28 were used as positive controls for signal transduction. In vivo agonistic potential of Ab-01 was assessed by measuring expression levels of cytokine storm-associated and IL21 pathway genes in blood of cynomolgus monkeys before and after IV administration of Ab-01.

resultsUsing a comprehensive set of assays that detected multiple activation signals in the presence of the positive control agonists, in vitro Ab-01-dependent activation was not detected in either PBMCs or the rhIL21-responsive cell line Daudi. Furthermore, no difference in gene expression levels was detected in blood before and after in vivo Ab-01 dosing of cynomolgus monkeys.

conclusionsDespite efforts to intentionally force an agonistic signal from Ab-01, none could be detected.

Identifiers

PMID20504348
PMCPMC2896924
OpenAlexW1995036978

What OpenQuestion holds

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LicenceCC BY
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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.