Evidence map›Paper›PMID 30117617›Full record

ArticleMicrobiology and immunology2018

Development of a diagnostic system for detection of specific antibodies and antigens against Middle East respiratory syndrome coronavirus.

Kunse Lee, Hae Li Ko, Eun-Young Lee, Hyo-Jung Park, Young Seok Kim, Yeon-Sook Kim, Nam-Hyuk Cho, Man-Seong Park, Sang-Myeong Lee, Jihye Kim and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Microbiology and immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. SARS-CoV, MERS-CoV and SARS-CoV-2: A Diagnostic Challenge.Measurement : journal of the International Measurement Confederation · 2021
    Article
  6. 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

13 authors at 8 institutions in 2 countries.

Kunse LeeDepartment of Biotechnology, Catholic University of Korea, Bucheon 14662, Korea.
Hae Li KoDepartment of Biotechnology, Catholic University of Korea, Bucheon 14662, Korea.
Eun-Young LeeDepartment of Biotechnology, Catholic University of Korea, Bucheon 14662, Korea.
Hyo-Jung ParkDepartment of Biotechnology, Catholic University of Korea, Bucheon 14662, Korea.
Young Seok KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Yeon-Sook KimDivision of Infectious Diseases, Department of Internal Medicine, Chungnam National University School of Medicine, Daejeon 35015, Korea.
Nam-Hyuk ChoDepartment of Microbiology and Immunology, Seoul National University College of Medicine, Seoul 03080, Korea.
Man-Seong ParkDepartment of Microbiology, College of Medicine, Institute for Viral Diseases, Korea University, Seoul 02841, Korea.
Sang-Myeong LeeDepartment of, Biotechnology, Chonbuk National University, Iksan 570-752, Korea.
Jihye KimDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 446-701, Korea.
Hun KimBio Research and Development, SK Chemicals, Seongnam, Gyeonggi-do 13493, Korea.
Baik Lin SeongDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
Jae-Hwan NamDepartment of Biotechnology, Catholic University of Korea, Bucheon 14662, Korea.
The Catholic University of Korea Bucheon St. Mary's Hospital · KRYonsei University · KRCatholic University of Korea · KRJeonbuk National University · KRKorea University · JPKyung Hee University Medical Center · KRSeoul National University · KRSK Group (South Korea) · KR

Funding

Basic Science Research Program NRF-2015M3A9B5030157Ministry of Food and Drug Safety in 2016-2017 16172MFDS268Ministry of Health and Welfare, Korea HI15C2955
6 · The paper itself

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV) is a single-stranded RNA virus that causes severe respiratory disease in humans with a high fatality rate. Binding of the receptor binding domain (RBD) of the spike (S) glycoprotein to dipeptidyl peptidase 4 is the critical step in MERS-CoV infection of a host cell. No vaccines or clinically applicable treatments are currently available for MERS-CoV. Therefore, rapid diagnosis is important for improving patient outcomes through prompt treatment and protection against viral outbreaks. In this study, the aim was to establish two ELISA systems for detecting antigens and antibodies against MERS-CoV. Using a recombinant full-length S protein, an indirect ELISA was developed and found to detect MERS-CoV-specific antibodies in animal sera and sera of patient with MERS. Moreover, MAbs were induced with the recombinant S protein and RBD and used for sandwich ELISA to detect the MERS-CoV S protein. Neither ELISA system exhibited significant intra-assay or inter-assay variation, indicating good reproducibility. Moreover, the inter-day precision and sensitivity were adequate for use as a diagnostic kit. Thus, these ELISAs can be used clinically to diagnose MERS-CoV.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, ViralAntigens, ViralBaculoviridaeCoronavirus InfectionsEnzyme-Linked Immunosorbent AssayEscherichia coliGene ExpressionHumansImmunologic TestsMiddle East Respiratory Syndrome CoronavirusProtein BindingProtein Interaction Domains and MotifsRatsRats, WistarAntibodies, MonoclonalAntibodies, ViralAntigens, ViralReceptors, VirusRecombinant ProteinsSpike Glycoprotein, CoronavirusViral Matrix ProteinsELISAMiddle East respiratory syndrome coronavirusreceptor binding domainspike protein

Identifiers

PMID30117617
PMCPMC7168444
OpenAlexW2886970059

What OpenQuestion holds

Textmetadata
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.