Evidence map›Paper›PMID 40830971›Full record

ArticleJournal of translational medicine2025

Targeting ATF4-DDIT4/TXNIP induced mitochondrial dysfunction and ferroptosis: ISRIB as novel therapy for septic cardiomyopathy.

Yiting Chen, Xueping Feng, Zeyu Li, Xinrun Wang, Wei Xiong, Jie Liu, Guotao Wang, Wenye Xu, Rui Jin, Lina Zhang and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 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.

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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

11 authors.

Yiting ChenDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Xueping FengNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
Zeyu LiDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Xinrun WangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Wei XiongDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Jie LiuDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Guotao WangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Wenye XuDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Rui JinDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Lina ZhangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China. Zln7095@163.com.
Zhaoxin QianDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China. xyqzx@csu.edu.cn.ORCID 0000-0002-2368-7840

Funding

Fundamental Research Funds for Central Universities of the Central South University 1053320231784Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province 2023RC1030the National Natural Science Foundation of China 62072471
6 · The paper itself

Abstract

introductionSepsis-induced cardiomyopathy (SIC) is a reversible lesion in the early clinical stage, but often induces a high mortality rate in the late stage, and its specific mechanism is unknown. Thus, in-depth exploration of the biological progression mechanism of SIC plays a crucial role.

methodsThrough co-immunoprecipitation and molecular biological experiments, the functional interaction relationship between DDIT4 and TXNIP was clarified, and the effect of DDIT4/TXNIP on the progression of SIC was investigated both in vitro/vivo. Additionally, the mechanism of SIC cell death mediated by DDIT4/TXNIP was determined through PCR chip technology, Western blot, immunofluorescence, flow cytometry and in-vivo SIC model experiments. Finally, leveraging the upstream transcription factor ATF4 as a target for the DDIT4/TXNIP pathway, a novel application and translational study of its small-molecule inhibitor ISRIB in SIC was developed.

resultsFirstly, in-vitro/vivo experiments demonstrated that DDIT4 exacerbates inflammatory infiltration and cardiac dysfunction in SIC via the TXNIP pathway. Mechanistically, the DDIT4/TXNIP axis promotes SIC progression through ferroptosis mechanisms. Furthermore, our study identified ATF4, an upstream transcription factor of DDIT4/TXNIP, as a key regulatory switch for this biological mechanism. Finally, this study confirmed that ISRIB, a small-molecule inhibitor of ATF4, significantly suppresses inflammation and ferroptosis mediated by DDIT4/TXNIP, thereby markedly improving cardiac function and prognosis in SIC mice.

conclusionsThis study revealed that the DDIT4/TXNIP-mediated ferroptosis mechanism exacerbates the inflammatory release and cardiac function decline in SIC. It also clarified that this biological effect is regulated by ATF4. Moreover, it was proposed that the inhibitor ISRIB, which targets ATF4, can significantly attenuate ferroptosis in SIC, while concurrently protecting cardiac function. This finding provides a brand-new therapeutic target and intervention agent for the clinical treatment of SIC.

Indexed as

Activating Transcription Factor 4CardiomyopathiesCarrier ProteinsFerroptosisMitochondriaSepsisTranscription FactorsAnimalsHumansMaleMiceMice, Inbred C57BLSignal TransductionActivating Transcription Factor 4ATF4 protein, humanAtf4 protein, mouseCarrier ProteinsDDIT4 protein, humanTranscription FactorsATF4DDIT4FerroptosisISRIBSepsis-induced cardiomyopathy

Identifiers

PMID40830971
PMCPMC12366375

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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.