Table · dataset · 2026
Establishment and application of a multiplex qPCR panel for multi-host surveillance of tick-Borne pathogens
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<p>Tick-borne diseases pose significant public health threats.
Description
Non-specific symptoms and co-infections present diagnostic challenges for conventional methods. To address this, we developed the tick-borne pathogen (TBP) Panel, utilizing eight separate multiplex qPCR assays to simultaneously detect 25 TBPs (7 bacteria, 14 viruses, 4 parasites).
Optimal Quantification Cycle (Cq) cut-offs were established using nested/semi-nested PCR amplicon sequencing, and digital PCR as reference standards. The Panel was then deployed for screening 2,333 ticks, 59 rodents, and 553 febrile patients. The Panel demonstrated robust analytical performance, achieving limits of detection (LOD<sub>99%</sub>) being 3.5–131 copies/reaction of plasmid, 10<sup>2</sup>–10<sup>3</sup> copies/mL of blood and 10<sup>3</sup>–10<sup>4</sup> copies/tick pool.
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This study established a tiered determination framework (Cq ≤ 36.6 as positive; Cq 36.6–39.6 requiring dual-replicate confirmation), yielding an overall AUC of 0.979, with 96.5% sensitivity and 96.5% specificity. Screening revealed a diverse pathogen landscape, identifying a total of 14 pathogens in 16.9% of the ticks (395/2,333), revealing a diverse geographical distribution. Five pathogens were identified in 7.9% of AFI patients (25/317), including Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) and <i>Ehrlichia</i> spp., which were found circulating in local ticks.
In the FUO cohort, a single case of <i>Rickettsia</i> spp. was identified. Rodent surveillance identified four pathogens, predominantly <i>Bartonella</i> spp. (67.8%).
In conclusion , the rigorously validated TBP Panel enables rapid etiological identification of undifferentiated febrile illnesses, serving as a high-throughput tool that bridges large-scale surveillance with clinical diagnostics to close critical gaps in tick-borne disease management.</p>
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- DOI doi.org/10.6084/m9.figshare.33672598.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Biochemistry and cell biology · Bioinformatics and computational biology · Chemistry · Computer Science & AI · Earth & Environmental Science · Ecology · Economics & Finance · Engineering · Humanities · Immunology · Infectious diseases · Life Sciences · Medicine & Health · Microbiology · Ocean & Atmospheric Science · Plant biology · Social Science · Virology
- Inferred from text
- Disease 75% · Sequencing 75%
Provenance · 1 source records, 26 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33672598 | 11 d ago | JSON v1 |
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