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<p>The global prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, and the accurate, non-invasive assessment of liver fibrosis remains an important clinical challenge. This study aimed to identify ferroptosis biomarkers associated with MASLD-related liver fibrosis progression, explore their potential biological links with MRI-derived parameters, and provide new clues for developing non-invasive diagnostic strategies for ferroptosis. A MASLD-related liver fibrosis model was established using 30 Sprague-Dawley (SD) rats. Hub differentially expressed ferroptosis-related genes (DE-FRGs) were identified through the integration of weighted gene co-expression network analysis (WGCNA), differential expression analysis, and LASSO regression. The role of ferroptosis in MASLD was evaluated using transmission electron microscopy (TEM) and measurements of glutathione (GSH) and Fe²⁺ content. T2*, R2*, and proton density fat fraction (PDFF) were obtained through magnetic resonance imaging (MRI) and were analyzed for correlations with hub DE-FRGs and Fe²⁺ levels. A total of eight hub DE-FRGs were identified: <i>Pck2</i>, <i>Idh2</i>, <i>Nr1d1</i>, <i>Fads1</i>, <i>Sat1</i>, <i>Abhd12</i>, <i>Got1</i>, and <i>Srebf1</i>. Enrichment analyses revealed that these hub DE-FRGs were predominantly implicated in carbohydrate response, amino acid biosynthesis, insulin resistance, and the AMPK signaling pathway. TEM and biochemical markers analyses demonstrated an association between MASLD-related liver fibrosis and ferroptosis. MRI‑derived parameters were significantly correlated with Fe²⁺ levels and the expression of hub DE-FRGs. This study preliminarily identified hub DE-FRGs associated with liver fibrosis in MASLD and their signaling pathways, verified indirect indicators related to ferroptosis, and proposed their potential correlation with MRI-derived parameters.</p>

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Exploring the correlation between ferroptosis-associated biomarkers and MRI-derived parameters in liver fibrosis associated with metabolic dysfunction-associated steatotic liver disease

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月21日

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  • Meihua Yang,
  • Qian Xu,
  • Fangyan Li,
  • Chen Chen,
  • Tianyuan Wang,
  • Maowen Tang,
  • Menghua Yang,
  • Jian He,
  • Yue Pan,
  • Rao Dai,
  • Pinggui Lei,
  • Peng Luo

摘要

The global prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, and the accurate, non-invasive assessment of liver fibrosis remains an important clinical challenge. This study aimed to identify ferroptosis biomarkers associated with MASLD-related liver fibrosis progression, explore their potential biological links with MRI-derived parameters, and provide new clues for developing non-invasive diagnostic strategies for ferroptosis. A MASLD-related liver fibrosis model was established using 30 Sprague-Dawley (SD) rats. Hub differentially expressed ferroptosis-related genes (DE-FRGs) were identified through the integration of weighted gene co-expression network analysis (WGCNA), differential expression analysis, and LASSO regression. The role of ferroptosis in MASLD was evaluated using transmission electron microscopy (TEM) and measurements of glutathione (GSH) and Fe²⁺ content. T2*, R2*, and proton density fat fraction (PDFF) were obtained through magnetic resonance imaging (MRI) and were analyzed for correlations with hub DE-FRGs and Fe²⁺ levels. A total of eight hub DE-FRGs were identified: Pck2, Idh2, Nr1d1, Fads1, Sat1, Abhd12, Got1, and Srebf1. Enrichment analyses revealed that these hub DE-FRGs were predominantly implicated in carbohydrate response, amino acid biosynthesis, insulin resistance, and the AMPK signaling pathway. TEM and biochemical markers analyses demonstrated an association between MASLD-related liver fibrosis and ferroptosis. MRI‑derived parameters were significantly correlated with Fe²⁺ levels and the expression of hub DE-FRGs. This study preliminarily identified hub DE-FRGs associated with liver fibrosis in MASLD and their signaling pathways, verified indirect indicators related to ferroptosis, and proposed their potential correlation with MRI-derived parameters.