Evidence map›Paper›PMID 42104518›Full record

ArticleInfectious diseases of poverty2026

A rapid multiplex platform for simultaneous detection of chikungunya virus, dengue virus, and dengue serotyping based on isothermal amplification and lateral flow dipsticks.

Gaowen Liu, Xinlin Wu, Yingchao Chang, Mengyuan Zheng, Li Liu, Xueshan Xia, Yue Feng

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

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4 · The record

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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

7 authors.

Gaowen Liu *Faculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China.
Xinlin Wu *Faculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China.
Yingchao Chang *Faculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China.
Mengyuan ZhengFaculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China.
Li LiuFaculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China.
Xueshan XiaYunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming Medical University, Kunming, Yunnan, China. oliverxia2000@aliyun.com.
Yue FengFaculty of Life Science and Technology & Yunnan Provincial Key Laboratory of Public Health and Biosafety, Kunming University of Science and Technology, No.727 Jingming Road, Chenggong Campus, Kunming, Yunnan, China. fyky2005@163.com.

Funding

National Natural Science Foundation of China 82060612Yunnan Major Scientific and Technological Projects 202202AG050013Yunnan Major Scientific and Technological Projects 202502AA310014
6 · The paper itself

Abstract

backgroundThe expeditious and precise diagnosis of dengue virus (DENV) and chikungunya virus (CHIKV) is paramount for effective patient management and the control of outbreaks. In this study, a duplex reverse transcription multi-enzyme isothermal amplification (RT-MIRA) assay was established for the simultaneous detection of DENV and CHIKV, followed by a nested RT-MIRA assay for DENV serotyping (DENV-1 to -4).

methodsSpecific primers and probes targeting the DENV 3'-UTR, CHIKV E1 gene, and four DENV serotypes were designed. The duplex RT-MIRA and nested DENV RT-MIRA serotyping reaction systems were optimized at 39 °C with portable fluorescence or lateral flow dipstick readouts. For methodological validation, specificity was evaluated against 35 related pathogens, and the 95% limit of detection (LOD95) was determined via probit regression. For clinical validation, serum samples from 236 suspected patients were tested, benchmarking against RT-qPCR and serology. Statistical analyses included the Wilson score method for calculating 95% confidence intervals (CIs) and Cohen's kappa (κ). For external verification, 12 CHIKV-positive clinical samples and 5 artificially simulated co-infection samples were retrospectively analyzed to validate assay accuracy.

resultsThe duplex RT-MIRA assay exhibited no cross-reactivity with other pathogens. The LOD95 values were 13.47 copies/μl for DENV and 10.49 copies/μl for CHIKV. Clinical validation demonstrated sensitivities of 96.15% (95% CI: 89.28%-98.67%) for DENV and 88.89% (95% CI: 67.20%-96.90%) for CHIKV. Specificity was 100% (95% CI: 92.87%-100%) for both. Agreement with RT-qPCR was strong for DENV (κ = 0.96) and CHIKV (κ = 0.92). The nested RT-MIRA serotyping assay showed high sensitivity (LOD95: 1.6-18.7 copies/μl) without cross-reactivity, accurately differentiating 75 DENV-positive samples into 71 DENV-1 and 4 DENV-2. In the external verification, the assay accurately detected 10 CHIKV mono-infections and 2 CHIKV/DENV co-infections, and distinguished four DENV serotypes in simulated matrices.

conclusionsA rapid and sensitive integrated method has been developed that combines duplex RT-MIRA for detecting DENV and CHIKV, and nested RT-MIRA for serotyping DENV. The simplicity and speed of the amplification and detection steps demonstrate this platform's potential for use in point-of-care testing and surveillance in areas with limited resources, particularly when used alongside portable extraction methods.

Indexed as

Chikungunya FeverChikungunya virusDengueDengue VirusMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSerotypingHumansRapid Diagnostic TestsSensitivity and SpecificityChikungunya virusDengue virusLateral flow dipstick stripsMultienzyme isothermal rapid amplificationSerotype genotyping

Identifiers

PMID42104518
PMCPMC13156856

What Socratic 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 Socratic graph.