Zeng Jing, Way Grayson, Wu Nan, Jiang Xixian, Tai Yun-Ling, Zhao Derrick, Su Lianyong, Yan Qianhua, Wang Xuan, Gurley Emily C, Hylemon Phillip B, Aseem Sayed Obaidullah, Sanyal Arun J, Fan Jiangao, Zhou Huiping
Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond Veterans Affairs Medical Center, 1220 East Broad Street, Richmond, VA, MMRB-5044, 23298-0678, USA.
Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Cell Biosci. 2025 Mar 8;15(1):34. doi: 10.1186/s13578-025-01362-5.
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) encompasses various conditions, ranging from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH) and cirrhosis. MASLD is a significant risk factor for hepatocellular carcinoma (HCC) and is rapidly becoming the primary cause of liver transplantation. Dysregulated sphingolipid metabolism has been linked to the development of MASH-HCC. However, detailed insight into the sphingolipid profiles and cell type-specific changes in key genes involved in sphingolipid metabolism remains limited and forms the primary focus of this study.
APPROACHES & RESULTS: This study used the well-characterized diet-induced MASH-HCC mouse model (DIAMOND). Total RNA sequencing data, NanoString nCounter Gene profiling, and single-nucleus RNA sequencing (snRNA-seq) GEO data (GSE225381) were used in characterizing gene regulation in MASH-HCC progression. Sphingolipids in the serum and liver were profiled using targeted lipidomics. RNA data analysis showed dysregulation of key genes involved in sphingolipid metabolism, including ceramide synthase 6 (Cers6), serine palmitoyltransferase long chain base subunit 2 (Sptlc2), sphingosine kinase 2 (SphK2), and sphingosine-1-phosphate receptor 1-3 (S1pr1-3) which paralleled significant changes in sphingolipid composition and levels in both serum and liver. Furthermore, TCGA-LIHC patient data were analyzed and potential prognostic genes for MASH-HCC were identified using univariate and multivariate Cox analysis. The multivariate Cox analysis underscored the prognostic significance of several genes related to sphingolipid metabolism, including CERS6, SPTLC2, and S1PR1.
Our findings provided valuable insights into the role of sphingolipids in the progression of MASH to HCC. Specific serum and liver sphingolipid profiles may serve as valuable biomarkers for diagnosis and prognosis in MASH-HCC.
代谢功能障碍相关脂肪性肝病(MASLD)涵盖多种病症,从单纯性脂肪变性到代谢功能障碍相关脂肪性肝炎(MASH)及肝硬化。MASLD是肝细胞癌(HCC)的重要危险因素,且正迅速成为肝移植的主要原因。鞘脂代谢失调与MASH - HCC的发生发展有关。然而,对鞘脂谱以及鞘脂代谢关键基因的细胞类型特异性变化的详细了解仍然有限,这也是本研究的主要重点。
本研究使用了特征明确的饮食诱导MASH - HCC小鼠模型(DIAMOND)。总RNA测序数据、NanoString nCounter基因分析以及单核RNA测序(snRNA - seq)GEO数据(GSE225381)用于表征MASH - HCC进展过程中的基因调控。使用靶向脂质组学分析血清和肝脏中的鞘脂。RNA数据分析显示鞘脂代谢关键基因失调,包括神经酰胺合酶6(Cers6)、丝氨酸棕榈酰转移酶长链碱基亚基2(Sptlc2)、鞘氨醇激酶2(SphK2)以及鞘氨醇 - 1 - 磷酸受体1 - 3(S1pr1 - 3),这与血清和肝脏中鞘脂组成和水平的显著变化平行。此外,分析了TCGA - LIHC患者数据,并使用单变量和多变量Cox分析确定了MASH - HCC的潜在预后基因。多变量Cox分析强调了几个与鞘脂代谢相关基因的预后意义,包括CERS6、SPTLC2和S1PR1。
我们的研究结果为鞘脂在MASH进展为HCC中的作用提供了有价值的见解。特定的血清和肝脏鞘脂谱可能作为MASH - HCC诊断和预后的有价值生物标志物。