Evidence map›Paper›PMID 39414652›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2025

EEF1A2 identified as a hub gene associated with the severity of metabolic dysfunction-associated steatotic liver disease.

Jian Zhang, Huiwen Wang, Qianbing Wang, Juan Mo, Lei Fu, Shifang Peng

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 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

6 authors.

Jian ZhangDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huiwen WangDepartment of Infection Control Center of Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qianbing WangDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Juan MoDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lei FuDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China. fulei92@126.com.
Shifang PengDepartment of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China. sfp1988@csu.edu.cn.

Funding

Fundamental Research Funds for Central Universities of the Central South University 2022ZZTS0820National Natural Science Foundation of China 82170640Natural Science Foundation of Hunan Province 2022JJ30954
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent chronic liver disease that ranges from metabolic dysfunction-associated steatotic liver (MASL) to metabolic dysfunction-associated steatohepatitis (MASH), and may eventually progress to cirrhosis and hepatocellular carcinoma (HCC). The underlying mechanism of MASLD remains incompletely understood. This study aimed to identify key gene implicated in MASLD pathogenesis and validate its correlation with disease severity through an integration of bioinformatics and experimental approaches. Liver transcriptome data from MASLD patients were obtained from the Gene Expression Omnibus (GEO) database. A diet-induced MASLD mouse model was developed, and liver RNA-sequencing was performed. Liver specimens and clinical data from patients were collected for further analysis. A total of 120 differentially expressed genes (DEGs) were shared between datasets GSE89632 and GSE213621, with functional enrichment in inflammatory, metabolic, and cell cycle-related pathways. Protein-protein interaction (PPI) network analysis identified three modules associated with MASLD, with the cell cycle-related module being the most notable. EEF1A2 was identified as a novel hub gene and revealed to be elevated with MASLD progression through dataset analysis. EEF1A2 was confirmed to be highly expressed in the livers of both MASLD mouse models and patients. Moreover, the increased expression of EEF1A2 in MASH was positively correlated with higher serum alanine aminotransferase (ALT), alanine aminotransferase (AST), total cholesterol (TC), and body mass index (BMI). In conclusion, EEF1A2 is a novel hub gene significantly associated with MASLD severity and is a promising biomarker and therapeutic target for MASLD.

Indexed as

Fatty LiverPeptide Elongation Factor 1AnimalsComputational BiologyDisease Models, AnimalGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansLiverMaleMiceProtein Interaction MapsSeverity of Illness IndexTranscriptomePeptide Elongation Factor 1BiomarkerEEF1A2Integrated bioinformaticsMetabolic dysfunction-associated steatohepatitisMetabolic dysfunction-associated steatotic liver diseasePrognosis

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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.