Jeong-Hyun Na

Mr. Jeong-Hyun Na


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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JNJeong-Hyun Na
Jeong-Hyun Na
JHJung Soo Heo
Jung Soo Heo
KKKeun-Yong Kim
Keun-Yong Kim
JHJUAE HWANG
JUAE HWANG
JSJun-Young Song
Jun-Young Song
A liver fluke, Clonorchis sinensis is a representative fish-borne parasite infecting humans, and sensitive detection in fish hosts or aquatic environments is important for monitoring infection sources in endemic areas. Conventional diagnostic methods based on microscopy or conventional PCR often show limited sensitivity, particularly under low-parasite conditions. In this study, we developed a high-sensitive and species-specific molecular marker and established a real-time PCR (qPCR)-based diagnostic method targeting metacercariae isolated from freshwater fish, representing the transmission stage of C. sinensis. Primers and a hydrolysis probe targeting the mitochondrially encoded cytochrome c oxidase 1 (COI) gene were designed, and all primer combinations produced stable amplifications with single melt curves in C. sinensis-positive samples. Among them, one combination was finally selected as the optimal marker due to its high specificity, including validation against mixed trematode samples to confirm species-specific detection. The qPCR assay showed excellent linearity (R2 = 0.998), with a detection limit of 101 copies per reaction and a quantification limit of 102 copies per reaction. In addition, the assay successfully detected C. sinensis DNA in environmental water samples spiked with metacercariae, demonstrating its applicability to aquatic samples for environmental surveillance purposes. Compared with conventional PCR, the developed qPCR method in this study exhibited markedly improved sensitivity in fish-derived samples. Overall, this qPCR assay provides a robust diagnostic tool for laboratory analysis and has potential utility for environmental DNA-based monitoring of clonorchiasis risk areas within a One Health framework.