The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects.

Journal: Frontiers in public health
Published Date: May 22, 2025

Abstract

INTRODUCTION: This study examines the synergistic effects of multi-pollutant exposure on hepatic lipid accumulation in non-alcoholic fatty liver disease (NAFLD) through the application of an explainable machine learning framework. This approach addresses the limitations of traditional models in managing complex environmental interactions.

Authors

  • Chunying Yan
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Zhanfang Zhu
    Xi'an Jiaotong University Hospital, Xi'an, China.
  • Xueyan Guo
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Wei Zong
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Guisheng Liu
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Yan Jin
    Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, IN 46285, USA.
  • Shiyuan Cui
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Fuqiang Liu
    Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, China.
  • Shujuan Gao
    Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.

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