Evidence map›Paper›PMID 34086703›Full record

ArticlePloS one2021

Detection of genotype-1 of dengue virus serotype 3 for the first time and complete genome analysis of dengue viruses during the 2018 epidemic in Mandalay, Upper Myanmar.

Mya Myat Ngwe Tun, Aung Kyaw Kyaw, Takeshi Nabeshima, Aung Min Soe, Khine Mya Nwe, Kyaw Ko Ko Htet, Thet Htoo Aung, Thein Thein Htwe, Thidar Aung, Su Su Myaing and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 13 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

15 authors at 4 institutions in 2 countries.

Mya Myat Ngwe TunDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.ORCID 0000-0002-8986-6307
Aung Kyaw KyawDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.ORCID 0000-0002-1384-8030
Takeshi NabeshimaDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Aung Min SoeDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Khine Mya NweDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Kyaw Ko Ko HtetDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Thet Htoo AungDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Thein Thein HtweDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Thidar AungDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Su Su MyaingDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Tu Tu MarDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Ei Phyu LwinDepartment of Medical Services, 550 Bedded Children Hospital (Mandalay), Ministry of Health and Sports, Mandalay, Myanmar.
Hlaing Myat ThuDepartment of Medical Research, Ministry of Health and Sports, Yangon, Myanmar.
Kyaw Zin ThantMyanmar Academy of Medical Science, Yangon, Myanmar.
Kouichi MoritaDepartment of Virology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Ministry of Health and Sports · MMNagasaki University · JPMyanmar Oxford Clinical Research Unit · MMUniversity of Medicine Mandalay · MM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue (DEN) is a neglected tropical disease, and surveillance of dengue virus (DENV) serotypes and genotypes is critical for the early detection of outbreaks. Risk factors for outbreaks include the emergence of new genotypes and serotype shifting. METHODOLOGY AND PRINCIPAL

findingsTo understand the genomic and viral characteristics of DENV-infected patients, we conducted a cross-sectional descriptive study among pediatric patients admitted at the 550-bedded Mandalay Children Hospital during the 2018 DEN endemic season. We conducted virus isolation, serological tests, viremia level measurement, and whole-genome sequencing. Among the 202 serum samples, we detected 85 samples with DENV (46 DENV-1, 10 DENV-3, 26 DENV-4 and three multiple serotype co-infections) via reverse transcription quantitative/real-time PCR (RT-qPCR), and we obtained 49 DENV isolates (31 DENV-1, 10 DENV-3 and 8 DEN-4). We did not detect DENV-2 in this study. The viral genome levels in serum did not differ significantly among virus serotypes, infection status (primary versus secondary) and disease severity. Based on the phylogenetic analysis, we identified DENV-1 genotype-1, DENV-4 genotype-1 and DENV-3 genotype-3 and genotype-1 which was detected for the first time. Next-generation sequencing analysis revealed greater frequencies of nonsynonymous and synonymous mutations per gene in the nonstructural genes. Moreover, mutation rates were also higher among DENV-1. CONCLUSION/SIGNIFICANCE: In conclusion, there was an increasing trend of DENV-3 cases during DENV endemic season in 2018 with the first detection of the genotype 1. However, DENV-1 has remained the predominant serotype in this study area since 2013, and we identified stop codon mutations in the DENV-1 genome. This report is the first to feature a complete genome analysis of the strains of DENV-3 and DENV-4 circulating among pediatric patients in Myanmar. This study highlighted the importance of annual surveillance for a better understanding of the molecular epidemiology of DENVs.

Indexed as

ChildChild, PreschoolCross-Sectional StudiesDengueDengue VirusDisease OutbreaksEpidemicsFemaleGenome, ViralGenotypeHumansMaleMolecular EpidemiologyMyanmarPhylogenySerogroup

Identifiers

PMID34086703
PMCPMC8177515
OpenAlexW3165508754

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Registered trials

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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.