Evidence map›Paper›PMID 41440283›Full record

ArticleBiosensors2025

An Improved Dengue Virus Serotype-Specific Non-Structural Protein 1 Capture Immunochromatography Method with Reduced Sample Volume.

Warisara Sretapunya, Thitiya Buranachat, Montita Prasomthong, Rittichai Tantikorn, Areerat Sa-Ngarsang, Sirirat Naemkhunthot, Laddawan Meephaendee, Pattara Wongjaroen, Chika Tanaka, Yoriko Shimadzu and 10 more

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Warisara SretapunyaNakhon Nayok Hospital, Nakhon Nayok 26000, Thailand.
Thitiya BuranachatNakhon Nayok Hospital, Nakhon Nayok 26000, Thailand.
Montita PrasomthongNakhon Nayok Hospital, Nakhon Nayok 26000, Thailand.
Rittichai TantikornNakhon Nayok Hospital, Nakhon Nayok 26000, Thailand.
Areerat Sa-NgarsangNational Institute of Health, Department of Medical Science, Ministry of Public Health, Nonthaburi 11000, Thailand.
Sirirat NaemkhunthotNational Institute of Health, Department of Medical Science, Ministry of Public Health, Nonthaburi 11000, Thailand.
Laddawan MeephaendeeNational Institute of Health, Department of Medical Science, Ministry of Public Health, Nonthaburi 11000, Thailand.
Pattara WongjaroenNational Institute of Health, Department of Medical Science, Ministry of Public Health, Nonthaburi 11000, Thailand.
Chika TanakaVisGene Ltd., Osaka 562-0033, Japan.
Yoriko ShimadzuVisGene Ltd., Osaka 562-0033, Japan.
Katsuya OgataVisGene Ltd., Osaka 562-0033, Japan.
Kunihiro KaihatsuVisGene Ltd., Osaka 562-0033, Japan.
Ryo MoritaDepartment of Infectious Diseases, Osaka City General Hospital, Osaka 534-0021, Japan.
Michinori ShiranoDepartment of Infectious Diseases, Osaka City General Hospital, Osaka 534-0021, Japan.ORCID 0009-0007-6421-7478
Juthamas PhadungsombatDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0001-6739-0144
Tadahiro SasakiDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.
Ritsuko Kubota-KoketsuDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.
Yoshihiro SamuneDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.ORCID 0009-0002-2929-4156
Emi E NakayamaDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0002-0477-0980
Tatsuo ShiodaDepartment of Viral Infections, Research Institute for Microbial Diseases, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0002-3439-8331

Funding

Japan Agency for Medical Research and Development 21wm0225010h0102
6 · The paper itself

Abstract

The four serotypes of dengue virus (DENV), types 1 to 4 (DENV-1 to DENV-4), exhibit approximately 60% identity in the encoded amino acid residues of viral proteins. Reverse transcription of RNA extracted from patient serum specimens followed by PCR amplification with serotype-specific probes is the current standard technique for DENV serotyping. However, this method is time- and cost-consuming, and rapid detection systems with low cost are desirable. Previously, we developed a prototype serotype-specific immunochromatography system. That system was composed of four strips with four corresponding distinct sample buffers, each specifically detecting a single DENV serotype. In the present study, we improved this system by combining pairs of strips into one lateral-flow cassette each, providing DENV-1 and DENV-2 detection in one device and DENV-3 and DENV-4 detection in a second device; this strategy successfully reduced the required sample volume. Furthermore, we were able to adjust the composition of the sample buffers such that a single sample buffer sufficed for all four DENV serotype detection reactions, allowing much easier handling of the devices. Evaluation of this new device against laboratory and clinical DENV isolates and clinical specimens from DENV-infected individuals showed sensitivity that was comparable to that of our previous version, yielding serotype specificity of 100%. These new devices are expected to be of use in the clinical setting, accelerating both prospective and retrospective epidemiological studies.

Indexed as

Chromatography, AffinityDengue VirusViral Nonstructural ProteinsDengueHumansSerogroupSerotypingViral Nonstructural Proteinsdengue virusimmunochromatographyNS1rapid testserotype discrimination

Identifiers

PMID41440283
PMCPMC12730692

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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.