Evidence map›Paper›PMID 40501899›Full record

ArticlebioRxiv : the preprint server for biology2025

TICKHUNTER: A Targeted Hybridization-Capture Sequencing Approach for the Detection and Characterization of Tick-borne Pathogens and Blood Meals.

Xiyu Wang, Joel J Brown, Marie V Lilly, Laura Plimpton, Chloe M Murrell, Sebastian G Llanos-Soto, Jordan D Zehr, Yining Sun, Guillaume Reboul, Kelly Sams and 11 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Xiyu WangDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Joel J BrownDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Marie V LillyDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 10027, USA.
Laura PlimptonDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 10027, USA.
Chloe M MurrellDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Sebastian G Llanos-SotoDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Jordan D ZehrDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Yining SunDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Guillaume ReboulDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Kelly SamsDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Aiman SabaawyDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Lauren SinghDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Rebecca L TallmadgeDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Patrick K MitchellDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Renee R AndersonDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Stephen G Ladd-WilsonPublic Health Division, Oregon Health Authority, Portland, OR 97232, USA.
Ellie BourgikosYale School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT 06510, USA.
Chantal B F VogelsYale School of Public Health, Department of Epidemiology of Microbial Diseases, New Haven, CT 06510, USA.
Ximena Olarte-CastilloDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.
Maria Diuk-WasserDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, NYC, NY, 10027, USA.
Laura B GoodmanDepartment of Public and Ecosystem Health, Cornell University College of Veterinary Medicine, Ithaca, NY, 14853, USA.ORCID 0000-0002-8327-3092

Funding

Project 2 - Center for Transformative Infectious Disease Research on Climate, Health and Equity in a Changing Environment (C-CHANGE)P20AI186093 · NIAID · CORNELL UNIVERSITY · PI Genevive Meredith · 2024 to 2026
$4.8M
NCEZID CDC HHS U01 CK000633NIAID NIH HHS P20 AI186093
6 · The paper itself

Abstract

Ticks are vectors of many debilitating pathogens that are transmitted during blood meal acquisition. As both vector and pathogen species continue to emerge, there is a critical need for improved pathogen diagnostic and host remnant identification methods to develop interventions. Current pathogen detection methods are limited in their ability to subtype and detect emerging variants and non-vector borne "look-alike" diseases. Determination of tick blood meal sources is also an elusive step for understanding tick interactions with the biotic community in a given environment, with consequences for environmental management and disease prevention strategies. We have created an accessible hybridization capture next-generation sequencing panel called "TICKHUNTER" to improve molecular detection and subtyping of bacterial and parasitic pathogens in both clinical and tick samples. For disease ecology studies, the panel also detects host blood meal sources of interest. An alternative method for unbiased blood meal remnant analysis is also presented. We find that TICKHUNTER is a promising tool for effective and accurate detection of a variety of tick-borne pathogens, based on comparable linearity, limit of detection, sensitivity, and specificity to real-time PCR. Additionally, it can detect and characterize unexpected pathogens due to the large capacity for multiplexing and flexibility in variant detection.

Indexed as

blood mealdiagnosticsdiseasehost identificationhybrid capturemolecular methodspathogenssequencingtickvector

Identifiers

PMID40501899
PMCPMC12157462

What OpenQuestion holds

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Registered trials

None linked

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.