Evidence map›Paper›PMID 22295949›Full record

ArticleBritish journal of clinical pharmacology2012

Effects of genetic variation in the P2RX7 gene on pharmacodynamics of a P2X(7) receptor antagonist: a prospective genotyping approach.

Simon M McHugh, Shilina Roman, Bill Davis, Annelize Koch, Alison M Pickett, Jill C Richardson, Sam R Miller, Sally Wetten, Charles J Cox, Fredrik Karpe and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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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

12 authors at 4 institutions in 4 countries.

Simon M McHughGSK Clinical Unit Cambridge-CUC, Addenbrooke's Hospital, Box 128, Hills Road, Cambridge CB2 0GG, UK. simon.m.mchugh@gsk.com
Shilina Roman
Bill Davis
Annelize Koch
Alison M Pickett
Jill C Richardson
Sam R Miller
Sally Wetten
Charles J Cox
Fredrik Karpe
John A Todd
Edward T Bullmore
University of Cambridge · GBAddenbrooke's Hospital · GBPredict (France) · FRUniversity of Oxford · GB

Funding

Wellcome Trust 091157
6 · The paper itself

Abstract

aimsTo investigate the effects of two single nucleotide polymorphisms (SNPs) in the human P2X₇ receptor gene (P2RX7)--1068G>A (A348T) and 1513A>C (E496A)--on P2X₇ receptor function, using a specific receptor antagonist (GSK1370319A) and prospective genetic stratification.

methodsLipopolysaccharide- and ATP-stimulated interleukin-1β production was determined in the presence or absence of GSK1370319A in blood culture from 32 prospectively genotyped subjects.

resultsThere was approximately 6.7-fold difference (P < 0.0001) in IC₅₀ for inhibition of ATP-stimulated interleukin-1β release by GSK1370319A between individuals with the homozygous gain--(1068A) and loss-of-function (1513C) genotypes (expressing the 348T, 496E and 348A, 496A alleles, respectively).

conclusionsLeukocyte P2X₇ receptors had significantly altered pharmacodynamic responses to a specific antagonist (GSK1370319A), directly related to SNP genotype.

Indexed as

Polymorphism, Single NucleotideAdenosine TriphosphateAdultDose-Response Relationship, DrugFemaleGenotypeHeterozygoteHomozygoteHumansInterleukin-1betaLeukocytesLipopolysaccharidesMaleMiddle AgedPhenotypeProspective StudiesAdenosine TriphosphateGSK 1370319AInterleukin-1betaLipopolysaccharidesP2RX7 protein, humanPurinergic P2X Receptor AntagonistsPyrrolidinesReceptors, Purinergic P2X7

Identifiers

PMID22295949
PMCPMC3630758
OpenAlexW1990267077

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.