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<p>Polybrominated diphenyl ethers (PBDEs) are implicated in dyslipidemia, but the molecular basis of individual susceptibility remains elusive. Here we report an analysis based on the China National Human Biomonitoring cohort, where we integrate exposome, genomic, and metabolomic data to identify 3,571 genetic variants that interact with PBDE exposure to influence dyslipidemia risk. Metabolomic analysis highlights glycine and glycerophosphate as key mediators. A polygenic risk score derived from these PBDE-interactive variants significantly enhances dyslipidemia prediction in highly exposed individuals. Among these, rs9869609 emerges as a candidate causal variant, showing the strongest association with hypercholesterolemia risk (<i>β</i> = 1.18, FDR = 0.0078). Further functional validation using single-base CRISPR/Cas9 editing reveals that the rs9869609-G allele downregulates <i>SLC6A20</i> expression by strengthening BHLHE40 binding, which further impairs glycine transport and promotes cholesterol accumulation, particularly under 2,2′,4,4′-Tetrabromodiphenyl ether exposure. Collectively, our study elucidates a gene-environment interaction mechanism through which genetic variants modulate lipid metabolism in response to PBDE exposure.</p>

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Genetic variations interact with polybrominated diphenyl ether exposure to alter lipid homeostasis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月5日

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  • Naifan Hu,
  • Bin Li,
  • Yifu Lu,
  • Qi Jiang,
  • Ying Zhu,
  • Zheng Li,
  • Yingli Qu,
  • Tian Qiu,
  • Donghui Zhang,
  • Zhuo Wang,
  • Yunfei Ma,
  • Huibin Jin,
  • Peijie Sun,
  • Haocan Song,
  • Yunhao Zhao,
  • Yifan Zhao,
  • Ming Zhang,
  • Feng Zhao,
  • Saisai Ji,
  • Bifeng Yuan,
  • Ying Zhu,
  • Yuebin Lv,
  • Jianbo Tian,
  • Xiaoping Miao,
  • Xiaoming Shi

摘要

Polybrominated diphenyl ethers (PBDEs) are implicated in dyslipidemia, but the molecular basis of individual susceptibility remains elusive. Here we report an analysis based on the China National Human Biomonitoring cohort, where we integrate exposome, genomic, and metabolomic data to identify 3,571 genetic variants that interact with PBDE exposure to influence dyslipidemia risk. Metabolomic analysis highlights glycine and glycerophosphate as key mediators. A polygenic risk score derived from these PBDE-interactive variants significantly enhances dyslipidemia prediction in highly exposed individuals. Among these, rs9869609 emerges as a candidate causal variant, showing the strongest association with hypercholesterolemia risk (β = 1.18, FDR = 0.0078). Further functional validation using single-base CRISPR/Cas9 editing reveals that the rs9869609-G allele downregulates SLC6A20 expression by strengthening BHLHE40 binding, which further impairs glycine transport and promotes cholesterol accumulation, particularly under 2,2′,4,4′-Tetrabromodiphenyl ether exposure. Collectively, our study elucidates a gene-environment interaction mechanism through which genetic variants modulate lipid metabolism in response to PBDE exposure.