Evidence map›Paper›PMID 22913645›Full record

ArticleBritish journal of pharmacology2013

Protein engineering and preclinical development of a GM-CSF receptor antibody for the treatment of rheumatoid arthritis.

R R Minter, E S Cohen, B Wang, M Liang, I Vainshtein, G Rees, L Eghobamien, P Harrison, D A Sims, C Matthews and 10 more

Abstract read
In one paragraph

Article in British journal of pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

20 authors.

R R MinterResearch, MedImmune Ltd, Cambridge, UK.
E S Cohen
B Wang
M Liang
I Vainshtein
G Rees
L Eghobamien
P Harrison
D A Sims
C Matthews
T Wilkinson
P Monk
C Drinkwater
L Fabri
A Nash
M McCourt
L Jermutus
L Roskos
I K Anderson
M A Sleeman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFor antibody therapies against receptor targets, in vivo outcomes can be difficult to predict because of target-mediated clearance or antigen 'sink' effects. The purpose of this work was to engineer an antibody to the GM-CSF receptor α (GM-CSFRα) with pharmacological properties optimized for chronic, s.c. treatment of rheumatoid arthritis (RA) patients. EXPERIMENTAL APPROACH: We used an in silico model of receptor occupancy to guide the target affinity and a combinatorial phage display approach for affinity maturation. Mechanism of action and internalization assays were performed on the optimized antibody in vitro before refining the modelling predictions of the eventual dosing in man. Finally, in vivo pharmacology studies in cynomolgus monkeys were carried out to inform the predictions and support future clinical development. KEY

resultsAntibody potency was improved 8600-fold, and the target affinity was reached. The refined model predicted pharmacodynamic effects at doses as low as 1 mg kg(-1) and a study in cynomolgus monkeys confirmed in vivo efficacy at 1 mg kg(-1) dosing. CONCLUSIONS AND IMPLICATIONS: This rational approach to antibody drug discovery enabled the isolation of a potent molecule compatible with chronic, s.c. self-administration by RA patients. We believe this general approach enables the development of optimal biopharmaceuticals.

Indexed as

AnimalsAntibodiesArthritis, RheumatoidCell Surface Display TechniquesFemaleHumansImmunoglobulin GInhibitory Concentration 50Macaca fascicularisMaleModels, BiologicalProtein BindingProtein EngineeringReceptors, Granulocyte-Macrophage Colony-Stimulating FactorRecombinant ProteinsAntibodiesImmunoglobulin GReceptors, Granulocyte-Macrophage Colony-Stimulating FactorRecombinant Proteins

Identifiers

PMID22913645
PMCPMC3570015

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Registered trials

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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.