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MERS-CoV diagnosis: An update

Authors: Sameera Al Johani; Ali H. Hajeer;

MERS-CoV diagnosis: An update

Abstract

Diagnosis of MERS-Cov still a major concern in most of daignostic laboratories. To date the Real-time Polymerase Chain reaction (RT-PCR) is the mainstay for diagnosis of MERS-CoV. RT-PCR has limitations, including a long turnaround time and lack of common measurements and correlations with Viral Load (VL). It is recommended to screen for MERS-CoV using RT-PCR of the upstream of envelope gene (upE) followed by confirmation of the presence of one of the following genes; open reading frame 1A, 1B genes or nucleocapsid (N) gene. Scientists are looking to implement viral sequencing on all negative samples by RT-PCR and they beleive that can be exposed to another level of testing using sequencing of the RNA-dependent RNA polymerase (RdRp) gene or N gene and in this case a positive result is diagnostic. It is also very important to maintain a contineous and random sequencing for MERS-Cov samples to be able to pick early viral mutations. Serological assays still not widely or routinely performed, and a lot of studies looking to implement such method in routine patient's testings.

Keywords

RT-PCR, Public Health, Environmental and Occupational Health, Infectious and parasitic diseases, RC109-216, Sequence Analysis, DNA, Real-Time Polymerase Chain Reaction, Article, MERS-COV, Serology, Infectious Diseases, Molecular Diagnostic Techniques, Middle East Respiratory Syndrome Coronavirus, Sequencing, Humans, Serologic Tests, Public aspects of medicine, RA1-1270, Coronavirus Infections

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 10%
Top 10%
Top 10%
Green
gold