Evidence map›Paper›PMID 39710300›Full record

ArticleJournal of advanced research2025

Absence of gut microbiota alleviates iron overload-induced colitis by modulating ferroptosis in mice.

Ke Gu, Aimin Wu, Chen Liu, Bing Yu, Jun He, Xin Lai, Junzhou Chen, Yuheng Luo, Hui Yan, Ping Zheng and 5 more

Abstract read
In one paragraph

Article in Journal of advanced research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. 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

15 authors.

Ke GuInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Aimin WuInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Chen LiuInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China; Tea Refining and Innovation Key Laboratory of Sichuan Province, College of Horticulture, Sichuan Agricultural University, Chengdu 611130, China.
Bing YuInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Jun HeInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Xin LaiInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Junzhou ChenInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Yuheng LuoInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Hui YanInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Ping ZhengInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Junqiu LuoInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Junning PuInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Quyuan WangInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Huifen WangInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China.
Daiwen ChenInstitute of Animal Nutrition, Sichuan Agricultural University, Chengdu 611130, China; Key Laboratory for Animal Disease-resistance Nutrition of China Ministry of Education, Sichuan Agricultural University, Chengdu 611130, China. Electronic address: dwchen@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIron overload disrupts gut microbiota and induces ferroptosis, contributing to colitis. However, whether gut microbiota directly drives iron overload-induced colitis and its underlying mechanism remain unclear.

objectivesThe study aimed to explore whether gut microbiota can directly regulate iron overload-induced colitis and its underling mechanism.

methodsMale C57BL/6N mice were fed with ferrous sulfate to establish an iron overload model. Antibiotics and dextran sulfate sodium salt (DSS) were used to create germ-free and colitis models, respectively.

resultsResults showed that iron overload caused disruption of systemic iron homeostasis via activating pro-inflammation response, which caused induction of ferroptosis and eventually resulted in colitis in mice. Notably, iron overload inhibited System Xc- and activated the nuclear factor E2-related factor 2/heme oxygenase-1 pathway, driving ferroptosis and colitis progression. Similar results were observed in mouse colon epithelial cells, which were treated with high doses ferric ammonium citrate. Additionally, iron overload exacerbated DSS-induced colitis by activating the ferroptosis and increasing harmful bacteria (e.g., Mucispirillum) abundance. Interestingly, eliminating gut microbiota attenuated iron overload-induced colitis, without affecting systemic inflammation through inhibiting ferroptosis of mice. Depletion of the gut microbiota partially mitigated the exacerbating effect of iron overload on DSS-induced colitis through inhibiting ferroptosis of mice.

conclusionIron overload activates ferroptosis in colonic cells, increases the relative abundance of harmful bacteria, and exacerbates DSS-induced colitis in mice. Iron overload exacerbates DSS-induced ferroptosis and colitis in a microbiota-dependent manner. Targeting gut microbiota may offer new strategies for managing iron overload-induced colitis.

Indexed as

ColitisFerroptosisGastrointestinal MicrobiomeIron OverloadAnimalsColonDextran SulfateDisease Models, AnimalIronMaleMiceMice, Inbred C57BLDextran SulfateIronColitisFerroptosisGut microbiotaIron overloadMice

Identifiers

PMID39710300
PMCPMC12793762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.