Evidence map›Paper›PMID 31084714›Full record

ArticleeLife2019

Identification of potential biomarkers of vaccine inflammation in mice.

Paul F McKay, Deniz Cizmeci, Yoann Aldon, Jeroen Maertzdorf, January Weiner, Stefan He Kaufmann, David Jm Lewis, Robert A van den Berg, Giuseppe Del Giudice, Robin J Shattock

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

26 citing papers in PubMed, 39 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

10 authors at 4 institutions in 3 countries.

Paul F McKay *Department of Medicine, Division of Infectious Diseases, Section of Virology, Imperial College London, London, United Kingdom.ORCID 0000-0001-5195-6254
Deniz Cizmeci *Department of Medicine, Division of Infectious Diseases, Section of Virology, Imperial College London, London, United Kingdom.ORCID 0000-0003-3231-7726
Yoann AldonDepartment of Medicine, Division of Infectious Diseases, Section of Virology, Imperial College London, London, United Kingdom.ORCID 0000-0001-9831-9391
Jeroen MaertzdorfDepartment of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany.
January WeinerDepartment of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany.ORCID 0000-0003-1438-7819
Stefan He KaufmannDepartment of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany.ORCID 0000-0001-9866-8268
David Jm LewisThe NIHR Imperial Clinical Research Facility, Imperial Centre for Translational and Experimental Medicine, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, United Kingdom.
Robert A van den BergGSK, Rockville, United States.
Giuseppe Del GiudiceGSK, Siena, Italy.
Robin J ShattockDepartment of Medicine, Division of Infectious Diseases, Section of Virology, Imperial College London, London, United Kingdom.
Imperial College London · GBMax Planck Institute for Infection Biology · DEGlaxoSmithKline (United States) · USImperial College Healthcare NHS Trust · GB

Funding

European Union Seventh Framework Programme 115308-2Innovative Medicines Initiative 11530
6 · The paper itself

Abstract

Systems vaccinology approaches have been used successfully to define early signatures of the vaccine-induced immune response. However, the possibility that transcriptomics can also identify a correlate or surrogate for vaccine inflammation has not been fully explored. We have compared four licensed vaccines with known safety profiles, as well as three agonists of Toll-like receptors (TLRs) with known inflammatory potential, to elucidate the transcriptomic profile of an acceptable response to vaccination versus that of an inflammatory reaction. In mice, we looked at the transcriptomic changes in muscle at the injection site, the lymph node that drained the muscle, and the peripheral blood mononuclear cells (PBMCs)isolated from the circulating blood from 4 hr after injection and over the next week. A detailed examination and comparative analysis of these transcriptomes revealed a set of novel biomarkers that are reflective of inflammation after vaccination. These biomarkers are readily measurable in the peripheral blood, providing useful surrogates of inflammation, and provide a way to select candidates with acceptable safety profiles.

Indexed as

AnimalsBiomarkersDrug-Related Side Effects and Adverse ReactionsGene Expression ProfilingInflammationInjections, IntramuscularLeukocytes, MononuclearLymph NodesMiceMusclesVaccinesBiomarkersVaccinesbiomarkersimmunologyinflammationmouseTLR agonisttranscriptomicsvaccine

Identifiers

PMID31084714
PMCPMC6555592
OpenAlexW2945441307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.