Evidence map›Paper›PMID 41416796›Full record

ArticleMicrobiology spectrum2026

CRISPR-Cas13a SHERLOCK assay for rapid and sensitive detection of chikungunya virus.

Niracha Athipanyasilp, Suwanna Saowpak, Chutikarn Chaimayo, Nasikarn Angkasekwinai, Archiraya Pattama, Artittaya Athipanyasilp, Maturada Patchsung, Kanokpol Aphicho, Chayasith Uttamapinant, Navin Horthongkham

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

10 authors.

Niracha AthipanyasilpDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Suwanna SaowpakDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Chutikarn ChaimayoDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nasikarn AngkasekwinaiDepartment of Medicine, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-5723-4877
Archiraya PattamaDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Artittaya AthipanyasilpDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Maturada PatchsungSchool of Biomolecular Science & Engineering, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand.
Kanokpol AphichoSchool of Biomolecular Science & Engineering, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand.
Chayasith UttamapinantSchool of Biomolecular Science & Engineering, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand.
Navin HorthongkhamDepartment of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.ORCID 0000-0001-9109-1259

Funding

Faculty of Medicine Siriraj Hospital, Mahidol University R016034012
6 · The paper itself

Abstract

Chikungunya virus (CHIKV), a major cause of acute febrile illness and joint pain, remains a significant public health threat in tropical regions. Rapid and accurate detection is essential for timely clinical management and outbreak control, particularly in resource-limited settings where real-time PCR (RT-qPCR) is often impractical. We developed and validated a SHERLOCK assay coupled with recombinase polymerase amplification for CHIKV RNA detection. Analytical performance was assessed by determining the limit of detection (LOD), cross-reactivity, clinical sensitivity and specificity, and predictive values. The assay achieved an LOD of 215 copies/reaction with no cross-reactivity against other alphaviruses or flaviviruses. Clinical testing of 146 plasma samples showed a sensitivity and specificity of 94.52% and 100% with lateral-flow readout and 97.26% and 100% with fluorescence readout, respectively. This study establishes a promising CRISPR-Cas13a-based SHERLOCK platform for CHIKV detection, demonstrating high analytical performance, rapid turnaround time, and potential for future adaptation to resource-limited settings.IMPORTANCEEarly and accurate detection of chikungunya virus (CHIKV) is critical for outbreak control, especially in resource-limited settings, where real-time PCR is not feasible. This study demonstrates that the CRISPR-Cas13a-based SHERLOCK platform, combined with RPA, achieves high diagnostic accuracy and a low detection limit, comparable to RT-qPCR. The assay's rapid turnaround time and simple lateral-flow readout make it a promising tool for point-of-care diagnostics during CHIKV outbreaks, potentially improving disease surveillance and clinical decision-making.

Indexed as

Chikungunya FeverChikungunya virusCRISPR-Cas SystemsMolecular Diagnostic TechniquesHumansLimit of DetectionNucleic Acid Amplification TechniquesReal-Time Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, Viralchikungunya virusCRISPRrapid diagnosisrecombinase polymerase amplification (RPA)SHERLOCK

Identifiers

PMID41416796
PMCPMC12889125

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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.