Evidence map›Paper›PMID 40814555›Full record

ArticleInternational journal of clinical and experimental pathology2025

Lactobacillus-based probiotic cocktail inhibits colitis-associated cancer by altering intestinal metabolism.

Weiyi Wang, Ying Xu, Yimin Chu, Haiqin Zhang, Lu Zhou, Haijin Zhu, Ji Li, Zixu Zhang, Jinnian Cheng, Fengli Zhou and 3 more

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Weiyi WangDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Ying XuDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Yimin ChuDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Haiqin ZhangDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Lu ZhouDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Haijin ZhuDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Ji LiDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Zixu ZhangDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Jinnian ChengDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Fengli ZhouDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Daming YangDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.
Weisong XuDepartment of Gastroenterology, The Second People's Hospital of Nantong, Affiliated Nantong Rehabilitation Hospital of Nantong University Nantong, Jiangsu, PR China.
Haixia PengDepartment of Endoscopy, Shanghai Tong Ren Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDysbiosis of intestinal microbiome is an important colorectal cancer (CRC) pathogenetic mechanism. Lactobacillus-based probiotic cocktail could inhibit colitis-associated cancer (CAC) by alleviating intestinal dysbiosis. The intestinal microbial metabolites have been linked with CRC etiology. However, the link between Lactobacillus-based probiotic cocktail and the alteration of intestinal metabolism and their functional mechanisms during CAC process is still poorly understood.

methodsFor assessing protective effects of the probiotic cocktail, azomethanes/dextran sodium sulfate (AOM/DSS) induced CAC mice were pretreated with the probiotic cocktail. Colon of C57BL/6 mice were used to assess inflammation and tumorigenesis. Comparative analysis was performed for determining how the probiotic altered intestinal metabolism and gene expression. Meanwhile, intestinal microbiota alterations were analyzed. The concluding integrated analysis of intestinal metabolism and gene expression as well as intestinal microbiota was presented.

resultsPretreatment with the probiotic alleviated intestinal inflammation and limited the formation of tumors. Oncogenes were down-regulated and cancer suppressor genes were up-regulated after probiotic pretreatment. Pretreatment with the probiotic induced a rise of Lactobacillus-dominated genera and a reduction of potential pathogenic bacteria Parasutterella, Helicobacter and Muribaculum, and affected expression of intestinal metabolites that involved 37 metabolic pathways. Lactobacillus-associated intestinal metabolite variations involve five metabolic pathways - arginine and proline metabolism, histidine metabolism, pyrimidine metabolism, purine metabolism, and tyrosine metabolism.

conclusionsPretreatment with Lactobacillus-based probiotic cocktail protected mice from CAC by interfering with intestinal metabolites that affected the cancer suppressor genes and oncogenes' expression. Furthermore, Lactobacillus affected five metabolite pathways, which was important mechanism for probiotic anti-inflammatory and anti-tumorigenesis.

Indexed as

Chronic inflammationcolorectal cancerintestinal metabolitesintestinal microbiotalactobacillusprobiotic

Identifiers

PMID40814555
PMCPMC12343454

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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.