Evidence map›Paper›PMID 41725820›Full record

ArticleFrontiers in microbiology2026

Characterization of viral diversity in wild marmot blood from the Qinghai-Tibet Plateau.

Haisheng Wu, Xiaojie Jiang, Yuan Xi, Songyi Ning, Hailian Wu, Wenyuan Xin, Wenxuan Peng, Shengjun Wang, Wen Zhang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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

9 authors.

Haisheng Wu *Department of Microbiology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Xiaojie Jiang *Department of Clinical Laboratory, Wuxi Blood Center, Wuxi, Jiangsu, China.
Yuan Xi *Department of Clinical Laboratory, Wuxi Blood Center, Wuxi, Jiangsu, China.
Songyi NingDepartment of Microbiology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Hailian WuQinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Wenyuan XinQinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Wenxuan PengQinghai Institute for Endemic Disease Prevention and Control, Xining, China.
Shengjun WangDepartment of Microbiology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Wen ZhangDepartment of Microbiology, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to characterize the viral diversity in the blood of marmots in the Qinghai-Tibet Plateau region, to assess their role as potential viral reservoirs and evaluate the potential implications for wildlife and human health. Methodology: Seventy marmot blood samples were collected from Yushu and Guoluo Prefectures in Qinghai Province. Viral communities were comprehensively analyzed using high-throughput sequencing and bioinformatics techniques. Results: Analysis identified a wide range of viral families, including Discussion: This study significantly expands the known viral diversity in marmots and underscores their role as potential zoonotic reservoirs. However, the functional and pathogenic implications of these viruses require further experimental validation. These findings highlight the importance of ongoing wildlife surveillance for understanding viral ecology and mitigating emerging public health risks.

Indexed as

bloodQinghai–Tibet Plateauviral diversitywild marmotszoonotic potential

Identifiers

PMID41725820
PMCPMC12920470

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.