Evidence map›Paper›PMID 41301408›Full record

ReviewBiomolecules2025

Cuproptosis as a Potential Therapeutic Target for Steatotic Liver Disease.

Yujie Pan, Cheng Luo, Qitao Guo, Qifei Duan, Ziyan Wu, Yan Li

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yujie PanSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.
Cheng LuoSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.ORCID 0000-0003-2193-3670
Qitao GuoSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.
Qifei DuanSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.
Ziyan WuSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.
Yan LiSchool of Basic Medical Sciences, Yichun University, Yichun 336000, China.ORCID 0000-0002-7257-7859

Funding

the Jiangxi College Students Innovation and Entrepreneurship Training Program and the Science X202410417055
6 · The paper itself

Abstract

Steatotic liver disease (SLD) has become one of the most prevalent chronic liver diseases, representing a significant health burden worldwide. The complex pathogenesis of SLD results in a lack of specific therapeutic targets and effective drug treatment modalities. Copper (Cu) is a trace element that plays a critical role in various physiological processes, particularly hepatic metabolism. Meanwhile, Cu overload can induce cellular toxicity, which is generally explained by its capacity to induce oxidative damage. In 2022, a novel form of programmed cell death, designated as cuproptosis, was identified. In essence, excess Cu ions bind to the lipoylated components of the tricarboxylic acid cycle, resulting in proteotoxic stress and subsequent cell death. The role of cuproptosis in the pathologies of Cu overload-induced diseases has gained considerable attention. However, the association between SLD and Cu overload, particularly cuproptosis, remains to be elucidated. This review provides a concise overview of cuproptosis. The significance of Cu overload in SLD, as well as the potential association between cuproptosis and SLD, is explored. This review aims to offer insights into the potential of cuproptosis as a therapeutic target for SLD.

Indexed as

CopperFatty LiverAnimalsApoptosisHumansLiverOxidative StressCoppercoppercuproptosisferredoxin 1mitochondriasteatotic liver disease

Identifiers

PMID41301408
PMCPMC12649951

What OpenQuestion holds

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LicenceCC BY
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.