Evidence map›Paper›PMID 29297281›Full record

ArticleBMC bioinformatics2017

Suggested mechanisms for Zika virus causing microcephaly: what do the genomes tell us?

Se-Ran Jun, Trudy M Wassenaar, Visanu Wanchai, Preecha Patumcharoenpol, Intawat Nookaew, David W Ussery

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Flavonoids as Molecules With Anti-Frontiers in microbiology · 2021
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Liposome delivery systems for the treatment of Alzheimer's disease.International journal of nanomedicine · 2018
    Review
  16. 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

6 authors at 2 institutions in 2 countries.

Se-Ran JunDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA. sjun@uams.edu.
Trudy M WassenaarMolecular Microbiology and Genomics Consultants, Zotzenheim, Germany.
Visanu WanchaiDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Preecha PatumcharoenpolDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Intawat NookaewDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
David W UsseryDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA. dwussery@uams.edu.
University of Arkansas for Medical Sciences · USMolecular Microbiology and Genomics Consultants (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZika virus (ZIKV) is an emerging human pathogen. Since its arrival in the Western hemisphere, from Africa via Asia, it has become a serious threat to pregnant women, causing microcephaly and other neuropathies in developing fetuses. The mechanisms behind these teratogenic effects are unknown, although epidemiological evidence suggests that microcephaly is not associated with the original, African lineage of ZIKV. The sequences of 196 published ZIKV genomes were used to assess whether recently proposed mechanistic explanations for microcephaly are supported by molecular level changes that may have increased its virulence since the virus left Africa. For this we performed phylogenetic, recombination, adaptive evolution and tetramer frequency analyses, and compared protein sequences for the presence of protease cleavage sites, Pfam domains, glycosylation sites, signal peptides, trans-membrane protein domains, and phosphorylation sites.

resultsRecombination events within or between Asian and Brazilian lineages were not observed, and likewise there were no differences in protease cleavage, glycosylation sites, signal peptides or trans-membrane domains between African and Brazilian strains. The frequency of Retinoic Acid Response Element (RARE) sequences was increased in Brazilian strains. Genetic adaptation was also apparent by tetramer signatures that had undergone major changes in the past but has stabilized in the Brazilian lineage despite subsequent geographic spread, suggesting the viral population presently propagates in the same host species in various regions. Evidence for selection pressure was recognized for several amino acid sites in the Brazilian lineage compared to the African lineage, mainly in nonstructural proteins, especially protein NS4B. A number of these positively selected mutations resulted in an increased potential to be phosphorylated in the Brazilian lineage compared to the African linage, which may have increased their potential to interfere with neural fetal development.

conclusionsZIKV seems to have adapted to a limited number of hosts, including humans, during which its virulence increased. Its protein NS4B, together with NS4A, has recently been shown to inhibit Akt-mTOR signaling in human fetal neural stem cells, a key pathway for brain development. We hypothesize that positive selection of novel phosphorylation sites in the protein NS4B of the Brazilian lineage could interfere with phosphorylation of Akt and mTOR, impairing Akt-mTOR signaling and this may result in an increased risk for developmental neuropathies.

Indexed as

Genome, ViralAdaptation, PhysiologicalAfricaAsiaBase SequenceBrazilCell LineCodonFemaleGenetic VariationHost-Pathogen InteractionsHumansMicrocephalyPhosphorylationPhylogenyPregnancyCodonComparative genomicsMicrocephalyPhosphorylationPositive selectionZika virus

Identifiers

PMID29297281
PMCPMC5751795
OpenAlexW2778292808

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.