Evidence map›Paper›PMID 39807021›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

The Type III Secretion System (T3SS) of Escherichia Coli Promotes Atherosclerosis in Type 2 Diabetes Mellitus.

Yao-Yuan Zhang, Song-Tao Chen, Gang Chen, Le Zhou, Guo-Liang Zhou, Xin-Yuan Yu, Long Yuan, Wei-Qian Deng, Zhen-Bo Wang, Jing Li and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Frontiers in microbiology · 2026
    Article
  3. Article
  4. 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.

Yao-Yuan ZhangDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.ORCID https://orcid.org/0000-0003-0838-8890
Song-Tao ChenDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Gang ChenDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Le ZhouDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Guo-Liang ZhouDepartment of Cardiology, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Xin-Yuan YuDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Long YuanDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Wei-Qian DengDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Zhen-Bo WangDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Jing LiDepartment of Imaging Diagnosis, Zhujiang Hospital of Southern Medical University, Guangzhou, 510515, China.
Yi-Fu TuDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Da-Wei ZhangGroup on the Molecular and Cell Biology of Lipids and Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Yuan LiDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Abdul SammadDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Xiao ZhuDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.
Kai YinDepartment of General Practice, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, 510515, China.

Funding

Guangxi Zhuang Autonomous Region Key Laboratory of Automatic Detecting Technology and Instruments, Guilin University of Electronic Technology 20210222-3National Science Foundation of China 81970390National Science Foundation of China 82060065National Science Foundation of China 82370463Natural Science Foundation of Guangxi Zhuang Autonomous Region 2020GXNSFDA297011Regional Science Fund 2022GXNSFBA035664
6 · The paper itself

Abstract

Large-scale studies indicate a strong relationship between the gut microbiome, type 2 diabetes mellitus (T2DM), and atherosclerotic cardiovascular disease (ASCVD). Here, a higher abundance of the type III secretion system (T3SS) virulence factors of Enterobacteriaceae/Escherichia-Shigella in patients with T2DM-related-ASCVD, which correlates with their atherosclerotic stenosis is reported. Overexpression of T3SS via Citrobacter rodentium (CR) infection in Apoe-/- T2DM mice exacerbated atherosclerotic lesion formation and increased gut permeability. Non-targeted metabolomic and proteomic analysis of mouse serum showed that T3SS caused abnormal glycerophospholipid metabolism in mice. Proteomics, RNA sequencing, and functional analyses showed that T3SS induced ferroptosis in intestinal epithelial cells, partly due to increased expression of ferritin heavy chains (FTH1). This findings first demonstrated that T3SS increases ferroptosis in intestinal epithelial cells, via disrupting the intestinal barrier and upregulation of phosphatidylcholine, thereby exacerbating T2DM-related ASCVD.

Indexed as

AtherosclerosisDiabetes Mellitus, Type 2Escherichia coliType III Secretion SystemsAnimalsGastrointestinal MicrobiomeHumansMaleMiceMice, Inbred C57BLType III Secretion Systemsatherosclerosisferroptosisintestinal barrierphosphatidylcholineT2DMT3SS

Identifiers

PMID39807021
PMCPMC12005784

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Registered trials

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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.