Evidence map›Paper›PMID 40643250›Full record

ArticlemBio2025

Revived ancient viruses from deep-sea ecosystems are biothreats by triggering gut dysbiosis.

Rui Wang, Mengqi Chu, Xiaobo Zhang

Abstract read
In one paragraph

Article in mBio, 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

3 authors.

Rui Wang *College of Life Sciences, Laboratory for Marine Biology and Biotechnology of Qingdao Marine Science and Technology Center and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhejiang University, Hangzhou, People's Republic of China.
Mengqi Chu *College of Life Sciences, Laboratory for Marine Biology and Biotechnology of Qingdao Marine Science and Technology Center and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhejiang University, Hangzhou, People's Republic of China.
Xiaobo ZhangCollege of Life Sciences, Laboratory for Marine Biology and Biotechnology of Qingdao Marine Science and Technology Center and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhejiang University, Hangzhou, People's Republic of China.ORCID 0000-0003-4606-212X

Funding

National Science and Technology Major Project
6 · The paper itself

Abstract

As human activities increase in the deep sea, ancient viruses trapped in sediments may revive in the human gut by infecting gut bacteria. Nevertheless, the potential biosecurity risks that deep-sea viruses pose to humans remain unexplored. Here, two bacteriophages DP105 and DP016, purified from the ancient deep-sea sediments, proliferated in the gut of mice to trigger the intestinal inflammation of mice. The biothreats posed by deep-sea viruses to mouse gut microbiota were further evaluated globally using the viruses purified from 106 ancient deep-sea sediment samples. The viruses purified from nine of these sediments could revive in the mouse gut, leading to disrupting gut bacterial communities and causing inflammatory symptoms, liver damage, or irregular glucose metabolism. Viruses with biosecurity risks were found in the seafloors within three distinct oceans. IMPORTANCE: Our findings highlighted the biothreats of ancient deep-sea viruses to mammal health. The biosecurity should be evaluated before exploring the deep-sea resources.

Indexed as

BacteriophagesDysbiosisGastrointestinal MicrobiomeGeologic SedimentsSeawaterAnimalsBacteriaEcosystemMiceancient virusdeep-sea sedimentgut microbiotahealthmouse

Identifiers

PMID40643250
PMCPMC12345240

What OpenQuestion holds

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LicenceCC BY
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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.