Evidence map›Paper›PMID 33308203›Full record

ArticleBMC infectious diseases2020

A reverse transcription loop-mediated isothermal amplification for broad coverage detection of Asian and African Zika virus lineages.

Boon-Teong Teoh, Kim-Ling Chin, Nur-Izyan Samsudin, Shih-Keng Loong, Sing-Sin Sam, Kim-Kee Tan, Chee-Sieng Khor, Juraina Abd-Jamil, Nurhafiza Zainal, Annelies Wilder-Smith and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

12 authors at 4 institutions in 4 countries.

Boon-Teong TeohTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia. boonteong@um.edu.my.
Kim-Ling ChinTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Nur-Izyan SamsudinTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Shih-Keng LoongTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Sing-Sin SamTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Kim-Kee TanTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Chee-Sieng KhorTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Juraina Abd-JamilTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia.
Nurhafiza ZainalDepartment of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Annelies Wilder-SmithDepartment of Public Health and Clinical Medicine, Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Keivan ZandiDepartment of Medical Microbiology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Sazaly AbuBakarTropical Infectious Diseases Research and Education Centre (TIDREC), Universiti Malaya, Kuala Lumpur, Malaysia. sazaly@um.edu.my.ORCID http://orcid.org/0000-0002-9267-1420
University Malaya Medical Centre · MYEmory University · USNanyang Technological University · SGUniversity of Malaya · MY

Funding

European Union's Seventh Framework Programme FP7/2007-2013Ministry of Education Malaysia LRGS MRUN/F1/01/2018Ministry of Education Malaysia MO002-2019Universiti Malaya BK055-2017Universiti Malaya RU002-2019Universiti Malaya UM.00000188/HGA.GV
6 · The paper itself

Abstract

backgroundEarly detection of Zika virus (ZIKV) infection during the viremia and viruria facilitates proper patient management and mosquito control measurement to prevent disease spread. Therefore, a cost-effective nucleic acid detection method for the diagnosis of ZIKV infection, especially in resource-deficient settings, is highly required.

methodsIn the present study, a single-tube reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay was developed for the detection of both the Asian and African-lineage ZIKV. The detection limit, strain coverage and cross-reactivity of the ZIKV RT-LAMP assay was evaluated. The sensitivity and specificity of the RT-LAMP were also evaluated using a total of 24 simulated clinical samples. The ZIKV quantitative reverse transcription-polymerase chain reaction (qRT-PCR) assay was used as the reference assay.

resultsThe detection limit of the RT-LAMP assay was 3.73 ZIKV RNA copies (probit analysis, P ≤ 0.05). The RT-LAMP assay detected the ZIKV genomes of both the Asian and African lineages without cross-reacting with other arthropod-borne viruses. The sensitivity and specificity of the RT-LAMP assay were 90% (95% CI = 59.6-98.2) and 100% (95% CI = 78.5-100.0), respectively. The RT-LAMP assay detected ZIKV genome in 9 of 24 (37.5%) of the simulated clinical samples compared to 10 of 24 (41.7%) by qRT-PCR assay with a high level of concordance (κ = 0.913, P < 0.001).

conclusionThe RT-LAMP assay is applicable for the broad coverage detection of both the Asian and African ZIKV strains in resource-deficient settings.

Indexed as

AfricaAsiaHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityZika VirusZika Virus InfectionRNA, ViralDiagnosticsInfectious diseaseMosquitoRT-LAMPVectorVector-borneZIKV

Identifiers

PMID33308203
PMCPMC7731766
OpenAlexW3112076217

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.