Evidence mapPaperPMID 41312436Full record

ArticleMetabolism open2025

Hepatic activating transcription factor 3 protects against systemic inflammation by attenuating lipotoxicity.

Chencheng Hu, Qian Yang, Runzhi Yu, Shuwei Hu, Bing Meng, Yanyong Xu

Abstract read
In one paragraph

Article in Metabolism open, 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.

Chencheng HuDepartment of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Qian YangKey Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Pathology of School of Basic Medical Sciences, Frontier Innovation Center, Fudan University Shanghai, Shanghai, 200032, China.
Runzhi YuKey Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Pathology of School of Basic Medical Sciences, Frontier Innovation Center, Fudan University Shanghai, Shanghai, 200032, China.
Shuwei HuKey Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Pathology of School of Basic Medical Sciences, Frontier Innovation Center, Fudan University Shanghai, Shanghai, 200032, China.
Bing MengClinical Laboratory Department, Handan First Hospital, Handan, 056002, Hebei Province, China.
Yanyong XuKey Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Pathology of School of Basic Medical Sciences, Frontier Innovation Center, Fudan University Shanghai, Shanghai, 200032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Activating transcription factor 3 (ATF3) is known to play a key role in regulating lipid and lipoprotein metabolism. However, the effects of hepatic ATF3 on systemic inflammation and the underlying mechanisms remain unclear. Methods: An adeno-associated virus with hepatocyte-specific promoter was used to construct mouse models with hepatocyte-specific overexpression or knockdown of ATF3. Results: Overexpression of human ATF3 in hepatocytes prevented high-fat (HF) diet-induced systemic inflammation in Conclusion: Our findings collectively indicate that hepatocyte ATF3 alleviates systemic inflammation by reducing hepatic lipotoxicity, a mechanism that may involve the activation of AMPKα. Targeting hepatic ATF3 represents a promising therapeutic strategy for systemic inflammation induced by hepatic lipotoxicity.

Indexed as

ATF3Lipid accumulationLipotoxicitySystemic inflammation

Identifiers

PMID41312436
PMCPMC12648580

What Socratic holds

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Registered trials

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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 Socratic graph.