Evidence map›Paper›PMID 40137749›Full record

ArticlePathogens (Basel, Switzerland)2025

Hybrid Capture-Based Sequencing Enables Highly Sensitive Zoonotic Virus Detection Within the One Health Framework.

Weiya Mao, Jin Wang, Ting Li, Jiani Wu, Jiangrong Wang, Shubo Wen, Jicheng Huang, Yongxia Shi, Kui Zheng, Yali Zhai and 4 more

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. A Critical Review of the CRISPR-Cas Technology in the Detection of SARS-CoV-2 Variants.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    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.

Weiya MaoSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jin WangSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Ting LiSchool of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou 325000, China.
Jiani WuSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jiangrong WangSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Shubo WenCollege of Animal Science and Technology, Inner Mongolia Minzu University, Tongliao 028000, China.
Jicheng HuangGuangzhou Customs District Technology Center, Guangzhou 510623, China.
Yongxia ShiGuangzhou Customs District Technology Center, Guangzhou 510623, China.
Kui ZhengGuangzhou Customs District Technology Center, Guangzhou 510623, China.
Yali ZhaiSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Xiaokang LiSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Yan LongSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jiahai LuSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.ORCID 0000-0002-8593-3402
Cheng GuoSchool of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.ORCID 0000-0002-6602-8810

Funding

Discipline Cluster of Oncology, Wenzhou Medical University z1-2023005National Natural Science Foundation of China International (Regional) Cooperation and Ex-change Project 2023YFVA1005Startup Fund for Young Researchers of Sun Yat-sen University 51000-12240016
6 · The paper itself

Abstract

Hybrid capture-based target enrichment prior to sequencing has been shown to significantly improve the sensitivity of detection for genetic regions of interest. In the context of One Health relevant pathogen detection, we present a hybrid capture-based sequencing method that employs an optimized probe set consisting of 149,990 probes, targeting 663 viruses associated with humans and animals. The detection performance was initially assessed using viral reference materials in a background of human nucleic acids. Compared to standard metagenomic next-generation sequencing (mNGS), our method achieved substantial read enrichment, with increases ranging from 143- to 1126-fold, and enhanced detection sensitivity by lowering the limit of detection (LoD) from 10

Indexed as

COVID-19High-Throughput Nucleotide SequencingSARS-CoV-2VirusesZoonosesAnimalsCattleGenome, ViralHumansLimit of DetectionMetagenomicsOne HealthSensitivity and Specificitycapture probesone healthviral diagnosticsviral metagenomics

Identifiers

PMID40137749
PMCPMC11944581

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.