Evidence map›Paper›PMID 41365539›Full record

ArticleJournal of microbiology and biotechnology2025

Portable RT-LAMP Platform for Rapid Point-of-Care Detection for SFTSV.

Gi Chan Lee, Beom Kyu Kim, Sania Batool, Ji-Hyun Park, Seong Cheol Min, Ju Ryeong Lee, Dong Gyu Lee, Se Hee An, Aman Jain, Do Hyung Kim and 4 more

Abstract read
In one paragraph

Article in Journal of microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Gi Chan LeeDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Beom Kyu KimDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Sania BatoolDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Ji-Hyun ParkDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Seong Cheol MinDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Ju Ryeong LeeDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Dong Gyu LeeDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Se Hee AnDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Aman JainDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Do Hyung KimELPIS-BIOTECH Company, Deajean 35380, Republic of Korea.
Hui Je LeeELPIS-BIOTECH Company, Deajean 35380, Republic of Korea.
Young Ki ChoiCenter for Study of Emerging and Re-emerging Viruses, Korea Virus Research Institute, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea.
Min-Suk SongDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.
Yun Hee BaekDepartment of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Chungbuk 28644, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe Fever with Thrombocytopenia Syndrome virus (SFTSV) is a tick-borne pathogen associated with high mortality, particularly among the elderly, and poses a significant public health threat in East Asia's rural areas. Improved diagnostic approaches are crucial for effective disease management in resource-limited settings. In this study, we developed a portable Reverse Transcription Loop-Mediated Isothermal Amplification (RT-LAMP) platform for rapid and accurate SFTSV detection. Primers targeting the conserved L gene were designed using 158 sequences collected between 2019 and 2023, and a multiplex assay incorporating the β-actin gene as an internal control to verify amplification efficiency in alignment with clinical performance requirements. We assessed the assay's sensitivity and specificity, ultimately establishing the RT-LAMP platform in a portable, clinical-grade device. The RT-LAMP assay achieved a detection limit of 500 RNA copies per reaction and provided results within 20 min. It demonstrated high specificity without cross-reactivity with other pathogens. Performance comparisons with commercial qRT-PCR kits using clinical specimens confirmed the RT-LAMP platform's reliability. The newly developed RT-LAMP platform is a rapid, accurate, and cost-effective diagnostic tool for SFTSV with strong potential for point-of-care testing (POCT). Its portability and ease of use make it ideal for application in resource-constrained environments, thereby enhancing SFTSV surveillance and improving public health outcomes in affected regions.

Indexed as

Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPhlebovirusPoint-of-Care SystemsSevere Fever with Thrombocytopenia SyndromeDNA PrimersHumansLimit of DetectionPoint-of-Care TestingReproducibility of ResultsRNA, ViralSensitivity and SpecificityDNA PrimersRNA, ViralDabie bandavirusdiagnosisqRT-PCRRT-LAMPSFTSV

Identifiers

PMID41365539
PMCPMC12706147

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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.