Evidence map›Paper›PMID 29020010›Full record

ArticlePloS one2017

Assay optimisation and technology transfer for multi-site immuno-monitoring in vaccine trials.

Steven G Smith, Stephanie A Harris, Iman Satti, Donna Bryan, K Barry Walker, Hazel M Dockrell, Helen McShane, Mei Mei Ho

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. TheF1000Research · 2021
    Article
  4. Article
  5. 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

8 authors.

Steven G SmithDepartment of Immunology and Infection, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0001-5623-7806
Stephanie A HarrisThe Jenner Institute, Oxford, United Kingdom.
Iman SattiThe Jenner Institute, Oxford, United Kingdom.
Donna BryanBacteriology Division, Medicines and Healthcare products Regulatory Agency-National Institute for Biological Standards and Controls, South Mimms, Potters Bar, Hertfordshire, United Kingdom.
K Barry WalkerBacteriology Division, Medicines and Healthcare products Regulatory Agency-National Institute for Biological Standards and Controls, South Mimms, Potters Bar, Hertfordshire, United Kingdom.
Hazel M DockrellDepartment of Immunology and Infection, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Helen McShaneThe Jenner Institute, Oxford, United Kingdom.
Mei Mei HoBacteriology Division, Medicines and Healthcare products Regulatory Agency-National Institute for Biological Standards and Controls, South Mimms, Potters Bar, Hertfordshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular immunological assays are important tools for the monitoring of responses to T-cell-inducing vaccine candidates. As these bioassays are often technically complex and require considerable experience, careful technology transfer between laboratories is critical if high quality, reproducible data that allows comparison between sites, is to be generated. The aim of this study, funded by the European Union Framework Program 7-funded TRANSVAC project, was to optimise Standard Operating Procedures and the technology transfer process to maximise the reproducibility of three bioassays for interferon-gamma responses: enzyme-linked immunosorbent assay (ELISA), ex-vivo enzyme-linked immunospot and intracellular cytokine staining. We found that the initial variability in results generated across three different laboratories reduced following a combination of Standard Operating Procedure harmonisation and the undertaking of side-by-side training sessions in which assay operators performed each assay in the presence of an assay 'lead' operator. Mean inter-site coefficients of variance reduced following this training session when compared with the pre-training values, most notably for the ELISA assay. There was a trend for increased inter-site variability at lower response magnitudes for the ELISA and intracellular cytokine staining assays. In conclusion, we recommend that on-site operator training is an essential component of the assay technology transfer process and combined with harmonised Standard Operating Procedures will improve the quality, reproducibility and comparability of data produced across different laboratories. These data may be helpful in ongoing discussions of the potential risk/benefit of centralised immunological assay strategies for large clinical trials versus decentralised units.

Indexed as

Clinical Trials as TopicTechnology TransferBiological AssayHumansIndicators and ReagentsInterferon-gammaMonitoring, ImmunologicReproducibility of ResultsVaccinesIndicators and ReagentsInterferon-gammaVaccines

Identifiers

PMID29020010
PMCPMC5636064

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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.