Evidence map›Paper›PMID 42141123›Full record

ArticleCommunications biology2026

Decoding the human gut bacterial plasmids in colorectal cancer.

Shuwen Han, Zheng Wu, Yinhang Wu, Zefeng Wang, Peng Qian, Jian Chu, Jinyou Li, Jing Zhuang, Xi Yang

Abstract read
In one paragraph

Article in Communications biology, 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.

Shuwen HanHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-6180-9565
Zheng WuHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0009-0005-6959-3486
Yinhang WuHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-5227-7413
Zefeng WangHuzhou University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-8735-7560
Peng QianHangzhou Black Box Biotechnology Co., Ltd, Hangzhou, Zhejiang Province, China.ORCID http://orcid.org/0009-0001-6330-3709
Jian ChuHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0003-0817-1149
Jinyou LiHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China.ORCID http://orcid.org/0009-0000-1008-666X
Jing ZhuangHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China. zhuangjing0721@163.com.ORCID http://orcid.org/0000-0002-6910-8824
Xi YangHuzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang Province, China. yangxi19900601@126.com.ORCID http://orcid.org/0000-0002-1617-422X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut plasmids show heightened sensitivity to gut microenvironmental changes compared to their bacterial hosts. To explore their significance in colorectal cancer (CRC), we analyzed metagenomic data from 863 participants (312 CRC, 387 high-risk, 164 low-risk). Plasmid and bacterial profiles were characterized, along with trace elements and metabolites. Differential analysis, functional gene assessment (ARG, MGE, MRG, VFGB), random forest modeling, and structural equation modeling (SEM) were applied. In terms of overall abundance, plasmids in both the high-risk and CRC groups exhibited a decreasing trend. Gut plasmids significantly influenced the functional genes (ARG, MGE, MRG, VFGB) of their bacterial hosts. Six key bacterial hosts (Enterobacterales, Bucrkholderiales, Hyphomicrobiales, Lactobacillales, Bacteroidales, Campylobacterales) and 12 plasmid markers were identified. The plasmid-based model effectively predicted CRC risk. SEM revealed that trace elements (e.g., Ni), metabolites (e.g., 5-Hydroxytryptophol), and host bacteria (e.g., Campylobacterales, Enterobacterales) predominantly exerted negative effects on most plasmids, whereas Ni exhibited a positive influence on plasmids NZ_CP013564.1, NZ_CP024312.1, and NZ_CP48284.1. We characterized the composition of gut plasmids and their bacterial hosts, explored the impacts of gut plasmids on bacterial functionality, and mapped multi-omics interaction networks linking plasmids, hosts, and metabolic features.

Indexed as

BacteriaColorectal NeoplasmsGastrointestinal MicrobiomePlasmidsHumansMetagenomics

Identifiers

PMID42141123
PMCPMC13434703

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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.