Evidence map›Paper›PMID 41591461›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026

Inhibiting METTL3 in macrophages alleviates colitis by enhancing M2 polarization via upregulating IRAKM.

Yang Zhang, Xin Wang, Shan Cao, Yulan Liu, Jun Xu

Abstract read
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In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. mFrontiers in immunology · 2026
    Review
  2. 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

5 authors.

Yang ZhangDepartment of Gastroenterology, Peking University People's Hospital, Beijing, China.
Xin WangDepartment of Gastroenterology, Peking University People's Hospital, Beijing, China.
Shan CaoDepartment of Gastroenterology, Peking University People's Hospital, Beijing, China.
Yulan LiuDepartment of Gastroenterology, Peking University People's Hospital, Beijing, China. liuyulan@pkuph.edu.cn.
Jun XuDepartment of Gastroenterology, Peking University People's Hospital, Beijing, China. xujun@hsc.pku.edu.cn.

Funding

Capital Health Research and Development of Special Fund No. CFH2024-4-4089National Natural Science Foundation of China No. 82341228National Natural Science Foundation of China No. 82370555Natural Science Foundation of Beijing Municipality No. 7232196Peking University People's Hospital Scientific Research Development Funds No. RDJP2023-22People's Hospital Scientific Research Development Funds No. RDGS2024-02
6 · The paper itself

Abstract

OBJECTIVE AND

designN6-methyladenosine (m

methodsThe dextran sulfate sodium (DSS)-induced experimental colitis model was established. Conditional knockout of METTL3 in myeloid cells mice (Mettl3

resultsConditional knockout of Mettl3 in myeloid cells attenuated intestinal inflammation in experimental colitis. In vivo and in vitro studies confirmed that Mettl3 deletion skewed macrophages towards M2 activation. Mechanistically, Irakm, a negative regulator of TLR4 signaling, was identified as a target of METTL3-mediated m

conclusionOur study highlights the role of METTL3-IRAKM signaling in macrophage polarization and intestinal inflammation, providing a potential therapeutic target for the treatment of colitis.

Indexed as

ColitisMacrophagesMethyltransferasesAnimalsColonCytokinesDextran SulfateMacrophage ActivationMaleMiceMice, Inbred C57BLMice, KnockoutRNA MethylationUp-RegulationCytokinesDextran SulfateMethyltransferasesMettl3 protein, mouseIRAKMMacrophage polarizationMETTL3Ulcerative colitis

Identifiers

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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.