Evidence map›Paper›PMID 41675157›Full record

ArticleiMetaOmics2025

Towards tick virome and emerging tick-borne viruses: Protocols, challenges and perspectives.

Run-Ze Ye, Nuo Cheng, Yu-Yu Li, Ning Wang, Xiao-Yang Wang, Biao Deng, Yuguo Chen, Li-Li Ren, Wu-Chun Cao

Abstract read
In one paragraph

Article in iMetaOmics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Run-Ze YeQilu Hospital of Shandong University Jinan Shandong China.
Nuo ChengState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.
Yu-Yu LiState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.
Ning WangState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.
Xiao-Yang WangState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.
Biao DengState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.
Yuguo ChenQilu Hospital of Shandong University Jinan Shandong China.
Li-Li RenInstitute of Pathogen Biology Chinese Academy of Medical Sciences & Peking Union Medical College Beijing China.
Wu-Chun CaoState Key Laboratory of Pathogen and Biosecurity Academy of Military Medical Sciences Beijing China.ORCID https://orcid.org/0000-0002-5090-2251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging tick-borne viruses are considered a significant public health threat. The understanding of the tick virome has been revolutionized by high-throughput meta-transcriptomic sequencing, and numerous novel pathogens have been unveiled. However, effective data integration and comparative analyses have been hindered by inconsistent research protocols. In response, standardized protocols are proposed, covering field surveys, sample processing, sequencing library construction, virus assembly, phylogenetic analysis, and classification, offering a unified framework for tick-virome research. Key challenges such as sampling representations, sequencing contamination, and classification discrepancies are also discussed. Furthermore, future perspectives on leveraging bioinformatics and machine learning to trace virus evolution, elucidate virus-tick-host interactions, and enhance surveillance in high-risk areas are outlined in our work. Ultimately, special emphasis is placed on the vital significance of worldwide cooperation and data sharing, which is essential for refining methodologies and guiding targeted interventions to mitigate emerging tick-borne diseases.

Identifiers

PMID41675157
PMCPMC12806352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.