Evidence map›Paper›PMID 28422757›Full record

ArticleJCI insight2017

Cross-reactive dengue human monoclonal antibody prevents severe pathologies and death from Zika virus infections.

Yiu-Wing Kam, Cheryl Yi-Pin Lee, Teck-Hui Teo, Shanshan W Howland, Siti Naqiah Amrun, Fok-Moon Lum, Peter See, Nicholas Qing-Rong Kng, Roland G Huber, Mei-Hui Xu and 8 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Dengue: Update on Clinically Relevant Therapeutic Strategies and Vaccines.Current treatment options in infectious diseases · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Flavivirus Entry Inhibitors.Advances in experimental medicine and biology · 2022
    Article
  18. Article
  19. Article
  20. 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

18 authors at 4 institutions in 2 countries.

Yiu-Wing KamSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Cheryl Yi-Pin LeeSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Teck-Hui TeoSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Shanshan W HowlandSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Siti Naqiah AmrunSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Fok-Moon LumSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Peter SeeSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Nicholas Qing-Rong KngSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Roland G HuberBioinformatics Institute.
Mei-Hui XuSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Heng-Liang TanBioprocessing Technology Institute, A*STAR, Biopolis, Singapore.
Andre ChooBioprocessing Technology Institute, A*STAR, Biopolis, Singapore.
Sebastian Maurer-StrohBioinformatics Institute.
Florent GinhouxSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Katja FinkSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Cheng-I WangSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Lisa Fp NgSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Laurent RéniaSingapore Immunology Network, Agency for Technology and Research (A*STAR), Biopolis, Singapore.
Singapore Immunology Network · SGNational University of Singapore · SGBioprocessing Technology Institute · SGUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zika virus (ZIKV) infections have been linked with neurological complications and congenital Zika syndrome. Given the high level of homology between ZIKV and the related flavivirus dengue virus (DENV), we investigated the level of cross-reactivity with ZIKV using a panel of DENV human mAbs. A majority of the mAbs showed binding to ZIKV virions, with several exhibiting neutralizing capacities against ZIKV in vitro. Three of the best ZIKV-neutralizing mAbs were found to recognize diverse epitopes on the envelope (E) glycoprotein: the highly conserved fusion-loop peptide, a conformation-specific epitope on the E monomer, and a quaternary epitope on the virion surface. The most potent ZIKV-neutralizing mAb (SIgN-3C) was assessed in 2 type I interferon receptor-deficient (IFNAR-/-) mouse models of ZIKV infection. Treatment of adult nonpregnant mice with SIgN-3C rescued mice from virus-induced weight loss and mortality. The SIgN-3C variant with Leu-to-Ala mutations in the Fc region (SIgN-3C-LALA) did not induce antibody-dependent enhancement (ADE) in vitro but provided similar levels of protection in vivo. In pregnant ZIKV-infected IFNAR-/- mice, treatment with SIgN-3C or SIgN-3C-LALA significantly reduced viral load in the fetal organs and placenta and abrogated virus-induced fetal growth retardation. Therefore, SIgN-3C-LALA holds promise as a ZIKV prophylactic and therapeutic agent.

Indexed as

Infectious disease

Identifiers

PMID28422757
PMCPMC5396524
OpenAlexW2605447488

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.