Evidence map›Paper›PMID 22583601›Full record

ArticleInfluenza and other respiratory viruses2013

Development of an enzyme-linked immunoassay for the quantitation of influenza haemagglutinin: an alternative method to single radial immunodiffusion.

Jesse Bodle, Erin E Verity, Chi Ong, Kirsten Vandenberg, Robert Shaw, Ian G Barr, Steven Rockman

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Influenza and other respiratory viruses, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

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3 · Its place in the literature

Who cites it

24 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

7 authors.

Jesse BodleCSL Ltd, Parkville, Vic., Australia.
Erin E Verity
Chi Ong
Kirsten Vandenberg
Robert Shaw
Ian G Barr
Steven Rockman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current method used to measure haemagglutinin (HA) content for influenza vaccine formulation, single radial immunodiffusion (SRID), is lengthy and relies on the availability of matched standardised homologous reagents. The 2009 influenza pandemic highlighted the need to develop alternate assays that are able to rapidly quantitate HA antigen for vaccine formulation.

objectivesThe aim of this work was to develop an enzyme-linked immunoassay (EIA) for the rapid quantitation of H1, H3, H5 and B influenza HA antigens.

methodsMonoclonal antibodies (mAbs) selected for haemagglutination inhibition (HAI) activity were conjugated with horseradish peroxidase and used to establish a capture-detection EIA for the quantitation of HA antigen. Results were compared with the appropriate reference SRID assays to investigate assay performance and utility.

resultsQuantitation of HA antigen by EIA correlated well with current reference SRID assays. EIA results showed equivalent precision and exhibited a similar capacity to detect HA antigen in virus samples that had been used in either stability or splitting studies, or subjected to physical or chemical stresses. EIA exhibited greater sensitivity than SRID and has the potential to be used in high-throughput applications.

conclusionsWe demonstrated the utility of EIA as a suitable alternative to SRID for HA antigen quantitation and stability assessment. This approach would lead to earlier availability of both seasonal and pandemic vaccines, because of the extended cross-reactivity of reagents.

Indexed as

Antibodies, MonoclonalEnzyme-Linked Immunosorbent AssayHemagglutinin Glycoproteins, Influenza VirusHorseradish PeroxidaseHumansImmunodiffusionInfluenza VaccinesTechnology, PharmaceuticalAntibodies, MonoclonalHemagglutinin Glycoproteins, Influenza VirusHorseradish PeroxidaseInfluenza Vaccines

Identifiers

PMID22583601
PMCPMC5780761

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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.