Evidence map›Paper›PMID 28191331›Full record

ArticleIranian Red Crescent medical journal2016

Development of Dual TaqMan Based One-Step rRT-PCR Assay Panel for Rapid and Accurate Diagnostic Test of MERS-CoV: A Novel Human Coronavirus, Ahead of Hajj Pilgrimage.

Mohammad Sadegh Hashemzadeh, Rahimeh Rasouli, Bentolhoda Zahraei, Morteza Izadi, Mahdi Tat, Seyed Hassan Saadat, Mohammad Najarasl, Behzad Khansari Nejad, Ruhollah Dorostkar

Open access · greenAbstract read
In one paragraph

Article in Iranian Red Crescent medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge.Measurement : journal of the International Measurement Confederation · 2021
    Article
  4. Review
  5. Strategies and perspectives to develop SARS-CoV-2 detection methods and diagnostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2020
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. 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

9 authors at 2 institutions in 1 country.

Mohammad Sadegh HashemzadehApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Rahimeh RasouliApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Bentolhoda ZahraeiApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Morteza IzadiHealth Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Mahdi TatApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Seyed Hassan SaadatHealth Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Mohammad NajaraslApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Behzad Khansari NejadDepartment of Microbiology and Immunology, Arak University of Medical Sciences, Arak, IR Iran.
Ruhollah DorostkarApplied Virology Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
Baqiyatallah University of Medical Sciences · IRArak University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronaviruses (CoVs) are large ribonucleic acid (RNA) viruses causing primarily respiratory disease in humans. A novel human coronavirus, subsequently named middle east respiratory syndrome coronavirus (MERS-CoV), was first reported in Saudi Arabia in September of 2012. With increasing numbers of infections and deaths from MERS-CoV, development of a rapid and reliable kit was crucial to prevent further spread of MERS-CoV.

objectivesIn this study, we present two real-time reverse-transcription polymerase chain reaction (rRT-PCR) assays for in-house rapid and sensitive diagnostic testing of MERS-CoV, detecting the regions upstream of the envelope gene (upE) and open reading frame (ORF) 1b, respectively, for initial screening and final confirmation of MERS-CoV infection, as recommended by the world health organization (WHO). MATERIALS AND

methodsIn this experimental study, acquiring patient samples was difficult; thus, according to WHO recommendations and standard protocols, we synthesized RNA sequences of upE and ORF1b genes as the template signatures and TaqMan based-diagnostic rRT-PCR assays were carried out using these synthetic genes for detection of MERS-CoV. In this research, we also inaugurated a cell-free system to transcribe these RNA sequences using the DNA templates synthesized.

resultsThe upE and ORF1b based one-step rRT-PCR assays were optimized by testing several times via different synthetic RNAs, and validation results were highly successful. The sensitivity obtained for upE was fewer than ten copies of RNA template per reaction and for ORF1b was 50 or fewer copies per reaction.

conclusionsThis study showed that the developed rRT-PCR assays are rapid, reliable, reproducible, specific, sensitive, and simple tools for detection of MERS-CoV. Finally, a kit consisting of two assay signatures and controls was assembled, which can be distributed to public health laboratories in Iran to support international MERS-CoV surveillance and public health response.

Indexed as

DiagnosisHajj PilgrimageMERS-CoVORF1bReal-Time RT-PCRupE

Identifiers

PMID28191331
PMCPMC5292137
OpenAlexW2466290873

What OpenQuestion holds

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LicenceCC BY-NC
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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.