Evidence map›Paper›PMID 31015278›Full record

ArticleEMBO molecular medicine2019

Mutating chikungunya virus non-structural protein produces potent live-attenuated vaccine candidate.

Yi-Hao Chan, Teck-Hui Teo, Age Utt, Jeslin Jl Tan, Siti Naqiah Amrun, Farhana Abu Bakar, Wearn-Xin Yee, Etienne Becht, Cheryl Yi-Pin Lee, Bernett Lee and 6 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Current Status of Chikungunya in India.Frontiers in microbiology · 2021
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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 4 institutions in 5 countries.

Yi-Hao ChanSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Teck-Hui TeoSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Age UttInstitute of Technology, University of Tartu, Tartu, Estonia.
Jeslin Jl TanSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Siti Naqiah AmrunSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Farhana Abu BakarSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Wearn-Xin YeeSir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Etienne BechtFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Cheryl Yi-Pin LeeSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Bernett LeeSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Ravisankar RajarethinamInstitute of Molecular and Cell Biology, A*STAR, Singapore City, Singapore.
Evan NewellFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Andres MeritsInstitute of Technology, University of Tartu, Tartu, Estonia.
Guillaume CarissimoSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.
Fok-Moon LumSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore.ORCID 0000-0002-5645-7048
Lisa Fp NgSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore City, Singapore lisa_ng@immunol.a-star.edu.sg.ORCID 0000-0003-4071-5222
Agency for Science, Technology and Research · SGFred Hutch Cancer Center · USUniversity of Tartu · EEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there are no commercially available live-attenuated vaccines against chikungunya virus (CHIKV). Here, CHIKVs with mutations in non-structural proteins (nsPs) were investigated for their suitability as attenuated CHIKV vaccines. R532H mutation in nsP1 caused reduced infectivity in mouse tail fibroblasts but an enhanced type-I IFN response compared to WT-CHIKV Adult mice infected with this nsP-mutant exhibited a mild joint phenotype with low-level viremia that rapidly cleared. Mechanistically, ingenuity pathway analyses revealed a tilt in the anti-inflammatory IL-10 versus pro-inflammatory IL-1β and IL-18 balance during CHIKV nsP-mutant infection that modified acute antiviral and cell signaling canonical pathways. Challenging CHIKV nsP-mutant-infected mice with WT-CHIKV or the closely related O'nyong-nyong virus resulted in no detectable viremia, observable joint inflammation, or damage. Challenged mice showed high antibody titers with efficient neutralizing capacity, indicative of immunological memory. Manipulating molecular processes that govern CHIKV replication could lead to plausible vaccine candidates against alphavirus infection.

Indexed as

Chikungunya virusMutationViral Nonstructural ProteinsViral VaccinesAnimalsChikungunya FeverChlorocebus aethiopsMiceVaccines, AttenuatedVero CellsVaccines, AttenuatedViral Nonstructural ProteinsViral Vaccineschikungunyalive‐attenuated vaccinemutationneutralizing antibodynon‐structural protein

Identifiers

PMID31015278
PMCPMC6554673
OpenAlexW2942345715

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.