Evidence map›Paper›PMID 37081450›Full record

ArticleCell communication and signaling : CCS2023

IL-33/ST2 antagonizes STING signal transduction via autophagy in response to acetaminophen-mediated toxicological immunity.

Zengbin Wang, Pei Sun, Banglun Pan, Jiacheng Qiu, Xiaoxia Zhang, Shuling Shen, Xiaoling Ke, Nanhong Tang

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Cell communication and signaling : CCS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Unconventional posttranslational modification in innate immunity.Cellular and molecular life sciences : CMLS · 2024
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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

8 authors at 1 institution in 1 country.

Zengbin Wang *Department of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Pei Sun *College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Banglun PanDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Jiacheng QiuDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaoxia ZhangDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Shuling ShenDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaoling KeDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China.
Nanhong TangDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Cancer Center of Fujian Medical University, Fujian Medical University Union Hospital, Fuzhou, China. fztnh@fjmu.edu.cn.ORCID 0000-0001-7495-5254
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterleukin-33 (IL-33), defined as "alarming", exert diverse functions through signaling via the suppression of tumorigenicity 2 (ST2). However, the physiological roles of IL-33/ST2 signaling during acetaminophen (APAP)-induced liver injury are still poorly understood by modern medicine (AILI). This research aims to explore the relationship between IL-33/ST2 and stimulator of interferon (IFN) response cGAMP interactor 1 (STING)-mediated signal transduction.

methodsC57BL/6N mice (WT) and IL-33-deficient mice (KO) were intraperitoneally injected with APAP (250 mg/kg). Recombinant IL-33 (500 ng/mouse) and the cGAS/STING inhibitor RU.521 (200 g/kg) were combined to treat AILI. For mechanistic research in vitro, CRISPR-mediated KD technology, immunoprecipitation, mass spectrometry, and immunofluorescence were utilized.

resultsWe discovered that IL-33 deficient mice had increased APAP-induced hepatotoxicity, DNA accumulation, and type 1 IFN production. Mechanistic analysis revealed that IL-33/ST2 enhanced the interaction between Beclin-1 and STING, disrupting STING dimerization, IRF3 phosphorylation, nuclear transport, and IFN-1 gene transcription in HepaRG and Huh7 cells. Beclin-1 interacted with the C-terminus of STING, causing Lys338 acetylation and autophagy degradation of STING. ST2 depletion increased STING signal transduction and IFN-1 promoter activity. Surprisingly, the cGAS/STING inhibitor RU.521 and recombinant IL-33 together improved AILI in vivo.

conclusionsThese results shed insight on the potential of inhibiting cGAS/STING as a therapy for AILI and emphasize the crucial role of IL-33/ST2 signaling in the regulation of APAP-induced STING signaling. Video Abstract.

Indexed as

AcetaminophenInterleukin-1 Receptor-Like 1 ProteinAnimalsAutophagyBeclin-1Immunity, InnateInterleukin-33MiceMice, Inbred C57BLNucleotidyltransferasesSignal TransductionSTING ProteinAcetaminophenBeclin-1Il1rl1 protein, mouseIl33 protein, mouseInterleukin-1 Receptor-Like 1 ProteinInterleukin-33NucleotidyltransferasesSting1 protein, mouseSTING ProteinAcetaminophen-induced liver injuryAcetylationAutophagyIL-33/ST2STING

Identifiers

PMID37081450
PMCPMC10116723
OpenAlexW4366549546

What OpenQuestion holds

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LicenceCC BY
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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.