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Comprehensive conservation profiling enables a robust multiplex RT-qPCR assay for simultaneous pan-detection and serotype discrimination of dengue virus

Sep 2026 · Microbiology spectrum · Vol 14 · 0 citations · 46 references
Medicine

TL;DR

A novel multiplex real-time RT-qPCR assay enabling simultaneous pan-DENV detection and serotype identification in two tubes, comprising six reactions including an internal control (IC), thereby streamlining dengue diagnosis and enhances the molecular understanding of DENV fragments in clinical specimens.

Abstract

ABSTRACT Dengue virus (DENV) remains a critical global health threat, necessitating rapid pan-detection and precise serotyping. In this study, we developed a multiplex real-time RT-qPCR assay for simultaneous detection and identification of DENV1–4. Guided by a systematic genomic conservation analysis of 4,754 sequences, we targeted the highly conserved 5′ untranslated region (5′ UTR) to design one pan-DENV and four serotype-specific primer-probe sets. The assay demonstrated robust analytical performance, with the limit of detection (LOD) ranging from 15.8 to 1.58 × 103 copies/mL and the lowest LOD (15.8 copies/mL) observed for serotype I with specific primer-probe sets. There was no cross-reactivity with other common pathogens of the Orthoflavivirus or Alphavirus genus pathogens, and clinical specificity was further validated as 100% using a negative cohort of non-dengue febrile samples. Validation using 53 clinical DENV-positive samples showed 100% concordance with a reference diagnostic kit for serotype identification. While the pan-DENV set served as a high-specificity screening tool with broad reactivity, it exhibited a clinical sensitivity of 88.7%, particularly missing low-titer samples (Ct > 30). This discrepancy, coupled with the superior sensitivity of the serotype-specific sets, suggests the presence of incomplete genomic fragments in acute-phase sera, highlighting the advantage of our 5′ UTR-targeted approach in assessing viral genomic integrity. This dual-layered multiplex assay provides a robust, rapid, and cost-effective tool for clinical diagnosis and epidemiological surveillance. IMPORTANCE Dengue fever is a leading cause of systemic viral disease worldwide. Co-circulation of four distinct serotypes complicates clinical management and increases severe disease risk. Here, we presented a novel multiplex RT-qPCR assay enabling simultaneous pan-DENV detection and serotype identification in two tubes, comprising six reactions including an internal control (IC), thereby streamlining dengue diagnosis. A key innovation is the systematic selection of the 5′ UTR as the diagnostic target, guided by big-data genomic analysis. Unlike assays targeting the 3′ UTR, which may overrepresent viral loads by capturing redundant subgenomic orthoflavivirus RNA (sfRNA), our 5′ UTR-targeted design provides a more stringent measure of genomic integrity. Furthermore, the modular performance of our assay combining broad screening via a pan-DENV set with high-sensitivity subtyping which offers a dual-layer diagnostic framework. This work provides a high-performance tool for timely clinical intervention and enhances our molecular understanding of DENV fragments in clinical specimens. Dengue fever is a leading cause of systemic viral disease worldwide. Co-circulation of four distinct serotypes complicates clinical management and increases severe disease risk. Here, we presented a novel multiplex RT-qPCR assay enabling simultaneous pan-DENV detection and serotype identification in two tubes, comprising six reactions including an internal control (IC), thereby streamlining dengue diagnosis. A key innovation is the systematic selection of the 5′ UTR as the diagnostic target, guided by big-data genomic analysis. Unlike assays targeting the 3′ UTR, which may overrepresent viral loads by capturing redundant subgenomic orthoflavivirus RNA (sfRNA), our 5′ UTR-targeted design provides a more stringent measure of genomic integrity. Furthermore, the modular performance of our assay combining broad screening via a pan-DENV set with high-sensitivity subtyping which offers a dual-layer diagnostic framework. This work provides a high-performance tool for timely clinical intervention and enhances our molecular understanding of DENV fragments in clinical specimens.

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