Evidence map›Paper›PMID 40790024›Full record

ArticleNature communications2025

Giant extrachromosomal element "Inocle" potentially expands the adaptive capacity of the human oral microbiome.

Yuya Kiguchi, Nagisa Hamamoto, Yukie Kashima, Lucky R Runtuwene, Aya Ishizaka, Yuta Kuze, Tomohiro Enokida, Nobukazu Tanaka, Makoto Tahara, Shun-Ichiro Kageyama and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
    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

16 authors.

Yuya Kiguchi *Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan. yuya.kiguchi@edu.k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-3334-2018
Nagisa Hamamoto *Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Yukie KashimaLife Science Data Research Center, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Lucky R RuntuweneAIDS Research Center, National Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Aya IshizakaDivision of Infectious Diseases, Advanced Clinical Research Center, the Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yuta KuzeDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Tomohiro EnokidaDepartment of Head and Neck Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
Nobukazu TanakaDepartment of Head and Neck Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID http://orcid.org/0000-0002-1336-1329
Makoto TaharaDepartment of Head and Neck Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.ORCID http://orcid.org/0000-0001-9035-3106
Shun-Ichiro KageyamaDivision of Cancer Immunology, Research Institute/ Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan.ORCID http://orcid.org/0000-0002-6072-0144
Takao FujisawaDepartment of Head and Neck Medical Oncology, National Cancer Center Hospital East, Kashiwa, Japan.
Riu YamashitaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Akinori KanaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.ORCID http://orcid.org/0000-0003-1555-6768
Josef S B TudaFaculty of Medicine, Sam Ratulangi University, Kampus Unsrat, Bahu Manado, Indonesia.
Taketoshi MizutaniDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan.
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan. ysuzuki@edu.k.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-4852-1879

Funding

Japan Agency for Medical Research and Development (AMED) 22fk0108538s0201
6 · The paper itself

Abstract

Survival strategy of bacteria is expanded by extrachromosomal elements (ECEs). However, their genetic diversity and functional roles for adaptability are largely unknown. Here, we discover a novel family of intracellular ECEs using 56 saliva samples by developing an efficient microbial DNA extraction method coupled with long-read metagenomics assembly. Even though this ECE family was not hitherto identified, our global prevalence analysis using 476 salivary metagenomic datasets elucidates that these ECEs reside in 74% of the population. These ECEs, which we named, "Inocles", are giant plasmid-like circular genomic elements of 395 kb in length, including Streptococcus as a host bacterium. Inocles encode a series of genes that contribute to intracellular stress tolerance, such as oxidative stress and DNA damage, and cell wall biosynthesis and modification involved in the interactions with oral epithelial cells. Moreover, Inocles exhibit significant positive correlations with immune cells and proteins responding to microbial infection in peripheral blood. Intriguingly, we examine and find their marked reductions among 68 patients of head and neck cancers and colorectal cancers, suggesting its potential usage for a novel biomarker of gastrointestinal cancers. Our results suggest that Inocles potentially boost the adaptive capacity of host bacteria against various stressors in the oral environment.

Indexed as

BacteriaMicrobiotaMouthAdultColorectal NeoplasmsDNA, BacterialFemaleHead and Neck NeoplasmsHumansMaleMetagenomeMetagenomicsMiddle AgedSalivaStreptococcusDNA, Bacterial

Identifiers

PMID40790024
PMCPMC12340149

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.