Evidence map›Paper›PMID 26738773›Full record

ArticleVirology journal2016

Pluripotent Human embryonic stem cell derived neural lineages for in vitro modelling of enterovirus 71 infection and therapy.

May Shin Yap, Yin Quan Tang, Yin Yeo, Wei Ling Lim, Lee Wei Lim, Kuan Onn Tan, Mark Richards, Iekhsan Othman, Chit Laa Poh, Boon Chin Heng

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Human Embryonic Stem Cell-Derived Neural Lineages asBioMed research international · 2019
    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

10 authors at 4 institutions in 3 countries.

May Shin YapDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. mayshin.yap@gmail.com.
Yin Quan TangDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. yinquant@sunway.edu.my.
Yin YeoDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. yy0812@live.com.my.
Wei Ling LimDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. weilingl@sunway.edu.my.
Lee Wei LimDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. limlw@hku.hk.
Kuan Onn TanDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. jefft@sunway.edu.my.
Mark RichardsSchool of Chemical & Life Sciences, Nanyang Polytechnic, 180 Ang Mo Kio Avenue 8, Singapore, 569830, Singapore. Mark_RICHARDS@nyp.gov.sg.
Iekhsan OthmanJeffrey Cheah School of Medicine, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor Darul Ehsan, Malaysia. iekhsan.othman@monash.edu.
Chit Laa PohDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. pohcl@sunway.edu.my.
Boon Chin HengDepartment of Biological Sciences, Faculty of Science & Technology, Sunway University, No. 5 Jalan Universiti, Bandar Sunway, 47500, , Selangor Darul Ehsan, Malaysia. alexish@hku.hk.
Sunway University · MYMonash University Malaysia · MYNanyang Polytechnic · SGUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of neurological complications and fatalities associated with Hand, Foot & Mouth disease has increased over recent years, due to emergence of newly-evolved strains of Enterovirus 71 (EV71). In the search for new antiviral therapeutics against EV71, accurate and sensitive in vitro cellular models for preliminary studies of EV71 pathogenesis is an essential prerequisite, before progressing to expensive and time-consuming live animal studies and clinical trials.

methodsThis study thus investigated whether neural lineages derived from pluripotent human embryonic stem cells (hESC) can fulfil this purpose. EV71 infection of hESC-derived neural stem cells (NSC) and mature neurons (MN) was carried out in vitro, in comparison with RD and SH-SY5Y cell lines.

resultsUpon assessment of post-infection survivability and EV71 production by the various types, it was observed that NSC were significantly more susceptible to EV71 infection compared to MN, RD (rhabdomyosarcoma) and SH-SY5Y cells, which was consistent with previous studies on mice. The SP81 peptide had significantly greater inhibitory effect on EV71 production by NSC and MN compared to the cancer-derived RD and SH-SY5Y cell lines.

conclusionsHence, this study demonstrates that hESC-derived neural lineages can be utilized as in vitro models for studying EV71 pathogenesis and for screening of antiviral therapeutics.

Indexed as

Cell LineageAnimalsBiomarkersCell DifferentiationCell Line, TumorCells, CulturedCell SurvivalEnterovirus A, HumanGene ExpressionHuman Embryonic Stem CellsHumansMiceNeural Stem CellsNeuronsPeptidesVirus ReplicationBiomarkersPeptides

Identifiers

PMID26738773
PMCPMC4704260
OpenAlexW2227941950

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.