Evidence mapPaperPMID 40137490Full record

ReviewToxics2025

Pollutants in Microenvironmental Cellular Interactions During Liver Inflammation Cancer Transition and the Application of Multi-Omics Analysis.

Yulun Jian, Yuhan Li, Yanfeng Zhou, Wei Mu

Abstract readReview
In one paragraph

Review in Toxics, 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. Article
  3. Inflammasomes and autophagy in cancer: unlocking targeted therapies.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    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

4 authors.

Yulun JianSchool of Public Health, Center for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0009-0002-7583-8281
Yuhan LiSchool of Public Health, Center for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Yanfeng ZhouSchool of Public Health, Center for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Wei MuSchool of Public Health, Center for Single-Cell Omics, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ORCID 0000-0003-2828-8096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study categorizes pollutant-induced inflammation-cancer transition into three stages: non-alcoholic fatty liver disease (NAFLD), liver fibrosis, and hepatocellular carcinoma (HCC). It systematically reveals the temporal heterogeneity of pollutant-induced liver damage. The findings indicate that pollutants not only directly damage hepatocytes but also modulate key cells in the immune microenvironment, such as hepatic stellate cells (HSCs) and Kupffer cells, thereby amplifying inflammatory and fibrotic responses, ultimately accelerating the progression of HCC. Mechanistically, in the early stage (NAFLD), pollutants primarily cause hepatocyte injury through oxidative stress and lipid metabolism dysregulation. During the fibrosis stage, pollutants promote liver fibrosis by inducing extracellular matrix accumulation, while in the HCC stage, they drive tumorigenesis via activation of the Wnt/β-catenin pathway and p53 inactivation. Through multi-omics analyses, this study identifies critical pathogenic molecules and signaling pathways regulated by pollutants, providing new insights into their pathogenic mechanisms, potential biomarkers, and therapeutic targets. These findings offer valuable guidance for the development of diagnostic and therapeutic strategies for liver diseases and the formulation of environmental health risk prevention measures.

Indexed as

cellular interactioncontaminantsexposomicsinflammatory cancer transformationliver microenvironment

Identifiers

PMID40137490
PMCPMC11945810

What Socratic 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 Socratic graph.