Evidence map›Paper›PMID 30466469›Full record

ArticleVirology journal2018

Comparison of enzyme-linked immunosorbent assay systems using rift valley fever virus nucleocapsid protein and inactivated virus as antigens.

Fuxun Yu, Ferdinard Adungo, Samson Limbaso Konongoi, Shingo Inoue, Rosemary Sang, Salame Ashur, Allan Ole Kwallah, Leo Uchida, Corazon C Buerano, Matilu Mwau and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Virology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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 3 institutions in 3 countries.

Fuxun YuGuizhou Provincial People's Hospital, Medical College, Guizhou University, No. 83 Zhongshan Dong Road, Guiyang, 550002, Guizhou Province, China.ORCID 0000-0001-8804-2755
Ferdinard AdungoDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, 1-12- 4, Sakamoto, Nagasaki, 852-8523, Japan.
Samson Limbaso KonongoiKenya Medical Research Institute, Nairobi, Kenya.
Shingo InoueDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, 1-12- 4, Sakamoto, Nagasaki, 852-8523, Japan.
Rosemary SangKenya Medical Research Institute, Nairobi, Kenya.
Salame AshurKenya Medical Research Institute, Nairobi, Kenya.
Allan Ole KwallahKenya Medical Research Institute, Nairobi, Kenya.
Leo UchidaDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, 1-12- 4, Sakamoto, Nagasaki, 852-8523, Japan.
Corazon C BueranoDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, 1-12- 4, Sakamoto, Nagasaki, 852-8523, Japan.
Matilu MwauKenya Medical Research Institute, Nairobi, Kenya.
Yan ZhaGuizhou Provincial People's Hospital, Medical College, Guizhou University, No. 83 Zhongshan Dong Road, Guiyang, 550002, Guizhou Province, China.
Yingjie NieGuizhou Provincial People's Hospital, Medical College, Guizhou University, No. 83 Zhongshan Dong Road, Guiyang, 550002, Guizhou Province, China. nienyj@hotmail.com.
Kouichi MoritaDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, 1-12- 4, Sakamoto, Nagasaki, 852-8523, Japan. moritak@nagasaki-u.ac.jp.
Kenya Medical Research Institute · KENagasaki University · JPGuizhou University · CN

Funding

the National Natural Science Foundation of China (2017) 81760605
6 · The paper itself

Abstract

backgroundRift Valley Fever (RVF) is a mosquito-borne viral zoonosis. To detect RVF virus (RVFV) infection, indirect immunoglobulin G (IgG) and immunoglobulin M (IgM) enzyme linked immunosorbent assays (ELISAs) which utilize recombinant RVFV nucleocapsid (RVFV-N) protein as assay antigen, have reportedly been used, however, there is still a need to develop more sensitive and specific methods of detection.

methodsRVFV-N protein was expressed in Escherichia coli (E. coli) and purified by histidine-tag based affinity chromatography. This recombinant RVFV-N (rRVFV-N) protein was then used as antigen to develop an IgG sandwich ELISA and IgM capture ELISAs for human sera. Ninety six serum samples collected from healthy volunteers during the RVF surveillance programme in Kenya in 2013, and 93 serum samples collected from RVF-suspected patients during the 2006-2007 RVF outbreak in Kenya were used respectively, to evaluate the newly established rRVFV-N protein-based IgG sandwich ELISA and IgM capture ELISA systems in comparison with the inactivated virus-based ELISA systems.

resultsrRVFV-N protein-based-IgG sandwich ELISA and IgM capture ELISA for human sera were established. Both the new ELISA systems were in 100% concordance with the inactivated virus-based ELISA systems, with a sensitivity and specificity of 100%.

conclusionsRecombinant RVFV-N is a safe and affordable antigen for RVF diagnosis. Our rRVFV-N-based ELISA systems are safe and reliable tools for diagnosis of RVFV infection in humans and especially useful in large-scale epidemiological investigation and for application in developing countries.

Indexed as

Virus InactivationAnimalsAntibodies, ViralAntigens, ViralEnzyme-Linked Immunosorbent AssayEscherichia coliHealthy VolunteersHumansImmunoglobulin GImmunoglobulin MNucleocapsid ProteinsRabbitsRecombinant ProteinsRift Valley FeverRift Valley fever virusSensitivity and SpecificityAntibodies, ViralAntigens, ViralImmunoglobulin GImmunoglobulin MNucleocapsid ProteinsRecombinant ProteinsExpressionIgG sandwich ELISAIgM capture ELISANucleocapsid proteinRVFV

Identifiers

PMID30466469
PMCPMC6249750
OpenAlexW2900738274

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.