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Biomarker Discovery for Metabolic Dysfunction-associated Steatotic Liver Disease Utilizing Mendelian Randomization, Machine Learning, and External Validation

  • Gong Feng
  • , Giovanni Targher
  • , Christopher D. Byrne
  • , Na He
  • , Man Mi
  • , Yi Liu
  • , Hongbin Zhu
  • , Ming Hua Zheng
  • , Feng Ye
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • University of Verona
  • IRCSS Sacro Cuore-Don Calabria Hospital
  • University Hospital Southampton NHS Foundation Trust
  • Xi'an Medical University
  • the 983rd Hospital of the Joint Logistics Sup-port Force of the Chinese People’s Liberation Army
  • The First Affiliated Hospital of Wenzhou Medical University
  • Key Laboratory of Diagnosis and Treatment for the Development of Chronic Liver Disease in Zhejiang Province

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Background and Aims: The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we aimed to identify biomarkers for MASLD and evaluate their diagnostic and prognostic significance. Methods: We conducted a Mendelian randomization analysis to assess the causal effects of 2,925 molecular biomarkers (from proteomics data) and 35 clinical biomarkers on MASLD. Mediation analysis was performed to determine whether clinical biomarkers mediated the effects of molecular biomarkers. The association between key clinical biomarkers and MASLD was externally validated in a hospital-based cohort (n = 415). A machine learning–based diagnostic model for MASLD was developed and validated using the identified molecular biomarkers. Prognostic significance was evaluated for both molecular and clinical biomarkers. Results: Six molecular biomarkers—in-cluding canopy FGF signaling regulator 4 (CNPY4), ectonu-cleoside triphosphate diphosphohydrolase 6 (ENTPD6), and major histocompatibility complex, class I, A (HLA-A)—and eight clinical biomarkers (e.g., serum total protein (STP)) were identified as causally related to MASLD. STP partially mediated the effect of HLA-A on MASLD (23.61%) and was associated with MASLD in the external cohort (odds ratio = 1.080, 95% confidence interval: 1.011–1.155). A random forest model demonstrated high diagnostic performance (AUC = 0.941 in training; 0.875 in validation). High expres-sion levels of CNPY4 and ENTPD6 were associated with the development of and poorer survival from hepatocellular car-cinoma. Low STP (<60 g/L) predicted all-cause mortality (HR = 2.50, 95% confidence interval: 1.22–5.09). Conclusions: This study identifies six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers for MASLD. Notably, STP mediates the effect of HLA-A on MASLD and is associated with all-cause mortality.

源语言英语
页(从-至)723-733
页数11
期刊Journal of Clinical and Translational Hepatology
13
9
DOI
出版状态已出版 - 9月 2025
已对外发布

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