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已发表论文
代谢功能障碍相关脂肪性肝炎中脂质代谢相关生物标志物 GPD1 和 CEBPD 的鉴定与验证
Authors Zhou J, Xiao C, Huang B, Chen F
Received 21 February 2025
Accepted for publication 4 October 2025
Published 25 October 2025 Volume 2025:18 Pages 14805—14823
DOI https://doi.org/10.2147/JIR.S524204
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Quan Zhang
Jianyu Zhou,1,* Chunying Xiao,1,* Bin Huang,2 Fenfang Chen3,4
1Department of Ultrasound, Taizhou Central Hospital (Taizhou University Hospital), School of Medicine, Taizhou, Zhejiang, People’s Republic of China; 2Department of Radiology, Taizhou Central Hospital (Taizhou University Hospital), School of Medicine, Taizhou, Zhejiang, People’s Republic of China; 3Department of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, People’s Republic of China; 4Department of Infectious Diseases, Enze Hospital, Taizhou Enze Medical Central (Group), Taizhou, Zhejiang, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Fenfang Chen, Department of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, People’s Republic of China, Email chenfenf@enzemed.com
Background: Metabolic dysfunction-associated steatohepatitis (MASH) remains a major clinical challenge due to the lack of effective diagnostic biomarkers and therapeutic targets. Identifying and validating key lipid metabolism-related genes may offer novel strategies for the early diagnosis and targeted treatment of MASH.
Methods: In this study, differentially expressed genes (DEGs) were identified from public databases using integrated bioinformatics approaches. Weighted gene co-expression network analysis (WGCNA) and multiple machine learning algorithms were employed to screen for hub genes closely associated with MASH. The expression levels and diagnostic potential of the candidate genes GPD1 and CEBPD were systematically evaluated through nomogram construction, immune infiltration analysis, and both in vivo and in vitro experiments. Their biological functions were further validated at the cellular level.
Results: The results revealed a strong association between lipid metabolism dysregulation and alterations in immune cell composition in MASH. GPD1 was significantly upregulated and CEBPD was downregulated in both the MASH animal and cell models, and both genes showed good diagnostic value. Functional experiments demonstrated that knockdown of GPD1 in HepG2 cells significantly reduced lipid accumulation, inflammatory responses, and expression of fibrosis-related markers. Similarly, overexpression of CEBPD also inhibited these pathological processes, indicating that both GPD1 and CEBPD play critical roles in MASH progression.
Conclusion: This study highlights the importance of GPD1 and CEBPD as potential diagnostic biomarkers and therapeutic targets for MASH, providing a theoretical and experimental foundation for improving early diagnostic strategies and developing interventions targeting inflammation and lipid metabolism dysregulation in metabolic liver disease.
Keywords: metabolic dysfunction-associated steatotic liver disease, metabolic dysfunction-associated steatohepatitis, lipid metabolism, GPD1, CEBPD
1Department of Ultrasound, Taizhou Central Hospital (Taizhou University Hospital), School of Medicine, Taizhou, Zhejiang, People’s Republic of China; 2Department of Radiology, Taizhou Central Hospital (Taizhou University Hospital), School of Medicine, Taizhou, Zhejiang, People’s Republic of China; 3Department of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, People’s Republic of China; 4Department of Infectious Diseases, Enze Hospital, Taizhou Enze Medical Central (Group), Taizhou, Zhejiang, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Fenfang Chen, Department of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, People’s Republic of China, Email chenfenf@enzemed.com
Background: Metabolic dysfunction-associated steatohepatitis (MASH) remains a major clinical challenge due to the lack of effective diagnostic biomarkers and therapeutic targets. Identifying and validating key lipid metabolism-related genes may offer novel strategies for the early diagnosis and targeted treatment of MASH.
Methods: In this study, differentially expressed genes (DEGs) were identified from public databases using integrated bioinformatics approaches. Weighted gene co-expression network analysis (WGCNA) and multiple machine learning algorithms were employed to screen for hub genes closely associated with MASH. The expression levels and diagnostic potential of the candidate genes GPD1 and CEBPD were systematically evaluated through nomogram construction, immune infiltration analysis, and both in vivo and in vitro experiments. Their biological functions were further validated at the cellular level.
Results: The results revealed a strong association between lipid metabolism dysregulation and alterations in immune cell composition in MASH. GPD1 was significantly upregulated and CEBPD was downregulated in both the MASH animal and cell models, and both genes showed good diagnostic value. Functional experiments demonstrated that knockdown of GPD1 in HepG2 cells significantly reduced lipid accumulation, inflammatory responses, and expression of fibrosis-related markers. Similarly, overexpression of CEBPD also inhibited these pathological processes, indicating that both GPD1 and CEBPD play critical roles in MASH progression.
Conclusion: This study highlights the importance of GPD1 and CEBPD as potential diagnostic biomarkers and therapeutic targets for MASH, providing a theoretical and experimental foundation for improving early diagnostic strategies and developing interventions targeting inflammation and lipid metabolism dysregulation in metabolic liver disease.
Keywords: metabolic dysfunction-associated steatotic liver disease, metabolic dysfunction-associated steatohepatitis, lipid metabolism, GPD1, CEBPD