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血清代谢组学联合MRI生物标志物用于MASLD无创分期与监测

Integrated serum metabolomics and MRI biomarkers for MASLD: a practical framework for noninvasive staging and monitoring.
PubMed 文献 · Abdom Radiol (NY) · 2026-05-26

本综述综合2020-2025年证据,探讨血清代谢组学与定量MRI生物标志物整合用于MASLD诊断。数据显示代谢物组合与MRI-PDFF及MRE互补,整合模型检测进展期纤维化AUROC超过0.90,优于单一方法。作者提出三层临床框架:基层简化筛查、专科多模态分期、风险适配纵向监测。

要点

  • 血清代谢物组合与MRI-PDFF、MRE互补,可提升MASLD无创分期精度。
  • 整合模型检测进展期纤维化AUROC超过0.90,优于单一方法。
  • 提出基层筛查-专科分期-纵向监测三层框架,减少对肝活检依赖。

核心结论

  • 血清代谢组学与定量MRI生物标志物整合可提高MASLD无创诊断精度,尤其对进展期纤维化检测AUROC超过0.90。
  • 作者提出三层临床框架:基层简化生化筛查、专科多模态综合分期、风险适配纵向监测,推动精准肝病学实践。

研究设计与样本

  • 综述性研究,综合2020-2025年关于血清代谢组学与定量MRI整合用于MASLD诊断精度的近期证据。
  • 参考标准为肝活检;涉及MRI-PDFF用于脂肪定量、MR弹性成像用于硬度/纤维化测量。

关键影像表现/征象

  • 血清代谢物组合反映上游代谢失调,与MRI-PDFF(脂肪定量)和MR弹性成像(硬度/纤维化)具有高度互补性。
  • 整合面板检测进展期纤维化的AUROC超过0.90,优于单一方法。

诊断标准与关键数值

  • 整合血清代谢物与MRI生物标志物面板检测进展期纤维化的AUROC超过0.90。
  • 单模态无创检查常难以区分炎症与纤维化或检测早期代谢损伤。

临床应用与阅片要点

  • 阅片时可关注MRI-PDFF定量脂肪含量与MRE硬度值,结合血清代谢物面板综合评估纤维化风险。
  • 报告建议按三层框架分层:基层简化筛查、专科多模态分期、风险适配纵向监测。
  • 注意单一模态无创检查可能无法区分炎症与纤维化,整合多模态指标可减少误判。

局限性

  • 本综述基于2020-2025年证据汇总,未报告原始研究的具体样本量、中心数及设备参数。
  • 肝活检仍为参考标准,其有创性限制人群筛查应用。

以上解读依据论文摘要(全文未开放获取或许可不允许翻译转载)。

英文原文(摘要)· 点击展开

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects nearly one in four adults globally, yet early diagnosis remains challenging due to the limitations of current diagnostic modalities. While liver biopsy is the reference standard, its invasiveness limits its utility for population screening. Similarly, single-modality noninvasive tests often fail to distinguish inflammation from fibrosis or detect early metabolic injury. This review synthesized recent evidence (2020-2025) regarding the integration of serum metabolomic profiling with quantitative magnetic resonance imaging (MRI) biomarkers to enhance diagnostic precision.

RESULTS: Emerging data indicate that serum metabolite panels, which detect upstream metabolic dysregulation, are highly complementary to MRI-PDFF (steatosis quantification) and MR Elastography (stiffness/fibrosis measurement). Integrated panels have demonstrated Area Under the Receiver Operating Characteristic (AUROC) values exceeding 0.90 for detecting advanced fibrosis, outperforming individual methods.

CONCLUSIONS: We propose a three-tier clinical framework for integrating these biomarkers: transitioning from simplified biochemical screening in primary care to comprehensive multimodal staging in specialist centers, followed by risk-adapted longitudinal monitoring. This integrated approach offers a pathway toward precision hepatology, enabling earlier intervention and more accurate disease tracking without reliance on invasive procedures.

来源:Abdom Radiol (NY),查看原文。版权归原作者所有。

引用

  1. Alghzawi HM, Sahu S, Rana A, et al. Integrated serum metabolomics and MRI biomarkers for MASLD: a practical framework for noninvasive staging and monitoring. Abdom Radiol (NY). 2026. PMID: 42189212. doi:10.1007/s00261-026-05573-3

供执业医师工作参考,不替代临床判断;数值与分级以指南原文为准。