Evidence map›Paper›PMID 32669577›Full record

ArticleScientific reports2020

The TLR9 ligand CpG ODN 2006 is a poor adjuvant for the induction of de novo CD8

Laura Papagno, Nozomi Kuse, Anna Lissina, Emma Gostick, David A Price, Victor Appay, Francesco Nicoli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 13 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

7 authors at 5 institutions in 4 countries.

Laura PapagnoCentre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, 75013, Paris, France.
Nozomi KuseCenter for AIDS Research, Kumamoto University, Kumamoto, 860-0811, Japan.
Anna LissinaCentre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, 75013, Paris, France.
Emma GostickDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK.
David A PriceDivision of Infection and Immunity, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK.
Victor Appay *Centre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, 75013, Paris, France. victor.appay@upmc.fr.
Francesco Nicoli *Centre d'Immunologie et des Maladies Infectieuses, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale, 75013, Paris, France. nclfnc1@unife.it.
Cardiff University · GBInserm · FRCentre d'Immunologie et des Maladies Infectieuses · FRKumamoto University · JPUniversity of Ferrara · IT

Funding

Wellcome TrustWellcome Trust 100326/Z/12/Z
6 · The paper itself

Abstract

Toll-like receptor 9 (TLR9) agonists have gained traction in recent years as potential adjuvants for the induction of adaptive immune responses. It has nonetheless remained unclear to what extent such ligands can facilitate the priming events that generate antigen-specific effector and/or memory CD8

Indexed as

Adaptive ImmunityAdjuvants, ImmunologicCD8-Positive T-LymphocytesCells, CulturedFlow CytometryHumansInflammationLeukocytes, MononuclearLigandsLymphocyte ActivationOligodeoxyribonucleotidesPeptidesReceptors, Pattern RecognitionRNAToll-Like Receptor 9Adjuvants, ImmunologicCpG ODN 2006LigandsOligodeoxyribonucleotidesPeptidesReceptors, Pattern RecognitionRNATLR9 protein, humanToll-Like Receptor 9

Identifiers

PMID32669577
PMCPMC7363897
OpenAlexW3042789857

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.