Evidence map›Paper›PMID 40027551›Full record

ArticleWorld journal of hepatology2025

ILF3 inhibits p-AMPK expression to drive non-alcoholic fatty liver disease progression.

Ting Zhan, Jia-Xi Liu, Min Huang, Ming-Tao Chen, Xiao-Rong Tian, Xiu-Lin Yang, Jie Tan, Yan-Li Zou, Zheng Han, Wei Chen and 2 more

Abstract read
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Article in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ting ZhanDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Jia-Xi LiuDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Min HuangDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Ming-Tao ChenDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Xiao-Rong TianDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Xiu-Lin YangDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Jie TanDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Yan-Li ZouDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Zheng HanDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Wei ChenDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Xia TianDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China.
Xiao-Dong HuangDepartment of Gastroenterology, Wuhan Third Hospital (Tongren Hospital of Wuhan University), Wuhan 430000, Hubei Province, China. 13297056720@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) is a disease of increasing global prevalence and an important risk factor for the development of insulin resistance, type 2 diabetes, non-alcoholic steatohepatitis and hepatocellular carcinoma, but the pathogenesis is not clear. The aim of this study was to explore the role of ILF3 in NAFLD.

aimTo investigate the molecular processes through which ILF3 facilitates the advancement of NAFLD by inhibiting the expression of p-AMPK. This exploration seeks to provide new insights into the etiology of NAFLD and evaluate the potential of ILF3 as a diagnostic marker and potential treatment focus for future interventions.

methods

resultsInvestigations revealed an increase in ILF3 Levels within both HepG2 cells and animal models of NAFLD, concurrently with a decrease in p-AMPK expression. Knocking down ILF3 activated the AMPK pathway, reducing lipid production and TG secretion in hepatocytes, thereby mitigating the advancement of NAFLD.

conclusionILF3 promotes the evolution of NAFLD by inhibiting the expression of p-AMPK. The knockdown of ILF3 activates the AMPK signaling pathway, alleviating the severity of NAFLD. These findings underscore the function of ILF3 in the pathogenesis of NAFLD and demonstrate its viability as a treatment focus and diagnostic indicator.

Indexed as

AMPK pathwayILF3Lipid metabolismMolecular mechanismNon-alcoholic fatty liver diseaseTherapeutic target

Identifiers

PMID40027551
PMCPMC11866148

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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.