Evidence map›Paper›PMID 32477364›Full record

ArticleFrontiers in immunology2020

Longitudinal [18F]FB-IL-2 PET Imaging to Assess the Immunopathogenicity of O'nyong-nyong Virus Infection.

Yi-Hao Chan, Teck-Hui Teo, Anthony Torres-Ruesta, Siddesh V Hartimath, Rhonda Sin-Ling Chee, Shivashankar Khanapur, Fui Fong Yong, Boominathan Ramasamy, Peter Cheng, Ravisankar Rajarethinam and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  9. Development and Application of Treatment for Chikungunya Fever.Research and reports in tropical medicine · 2022
    Review
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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

16 authors at 5 institutions in 2 countries.

Yi-Hao ChanSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Teck-Hui TeoSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Anthony Torres-RuestaSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Siddesh V HartimathSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Rhonda Sin-Ling CheeSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Shivashankar KhanapurSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Fui Fong YongSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Boominathan RamasamySingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Peter ChengSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Ravisankar RajarethinamAdvanced Molecular Pathology Laboratory, Institute of Molecular and Cell Biology, ASTAR, Proteos, Biopolis, Singapore, Singapore.
Edward G RobinsSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Julian L GoggiSingapore Bioimaging Consortium, ASTAR, Helios, Biopolis, Singapore, Singapore.
Fok-Moon LumSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Guillaume CarissimoSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Laurent RéniaSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Lisa F P NgSingapore Immunology Network, Agency for Science, Technology and Research (ASTAR), Immunos, Biopolis, Singapore, Singapore.
Agency for Science, Technology and Research · SGSingapore Immunology Network · SGNational University of Singapore · SGSingapore Bioimaging Consortium · SGInstitute of Molecular and Cell Biology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

O'nyong-nyong virus (ONNV) is an arthritogenic alphavirus that caused two large epidemics in 1959 and 1996, affecting millions of people in Africa. More recently, sero-surveillance of healthy blood donors conducted in 2019 revealed high rates of unreported ONNV infection in Uganda. Due to similar clinical symptoms with other endemic mosquito-borne pathogens in the region, including chikungunya virus, dengue virus and malaria, ONNV infections are often un- or misdiagnosed. Elucidating the immunopathogenic factors of this re-emerging arbovirus is critical with the expanding geographic distribution of competent vectors. This study reports the establishment of an immune competent C57BL6/J mouse model to mechanistically characterize ONNV infection and assess potential treatment efficacy. This mouse model successfully recapitulated arthralgia and viremia profiles seen in ONNV patients. Furthermore, longitudinal

Indexed as

Alphavirus InfectionsAnimalsCD4-Positive T-LymphocytesDisease Models, AnimalDrug RepositioningFemaleFingolimod HydrochlorideHumansImmunocompetenceLongitudinal StudiesMaleMiceMice, Inbred C57BLO'nyong-nyong VirusPositron-Emission TomographyViremiaFingolimod HydrochloridealphavirusCD4+ T cellsdrug repositioningimmunopathogenesisO'nyong-nyong virusPET imaging

Identifiers

PMID32477364
PMCPMC7235449
OpenAlexW3020359572

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.