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<p>This study investigated the genetic and phenotypic associations of the glymphatic system and brain characteristics with Parkinson’s disease (PD) and developed an imaging-derived early prediction model. In a case-control analysis of 118 PD patients and 58 matched controls, a lower analysis along the perivascular space (ALPS) index (odds ratio [OR] = 0.049, 95% confidence interval [CI]: 0.013-0.181) and elevated free water content, particularly in the temporal lobe (OR = 5.603, 95% CI: 3.093–10.150), were both associated with PD. Their combination provided the highest predictive accuracy for PD (area under the curve (AUC) = 0.818, 95% CI: 0.750–0.886). Furthermore, Mendelian randomization analysis demonstrated positive causal effects of frontal, occipital, parietal, and temporal lobes on PD risk (OR &gt; 1, <i>p</i> ≤ 0.05). These findings indicate that glymphatic dysfunction and specific brain alterations are associated with PD, and that combining them may improve early prediction strategies.</p>

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Imaging and genome-supported association of glymphatic system function and multiregional brain characteristics with Parkinson’s disease

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月12日

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  • Zhinan Ye,
  • Yuchen Lin,
  • Yangguang Lu,
  • Zihao Wu,
  • Baoyi Zhu,
  • Qiaoqiao Jin,
  • Yang Zhang,
  • Zhuoyu Chen,
  • Xinyi Yuan,
  • Zihan Yuan,
  • Ziyu Yang,
  • Suwen Huang,
  • Yiyun Weng,
  • Dehao Yang

摘要

This study investigated the genetic and phenotypic associations of the glymphatic system and brain characteristics with Parkinson’s disease (PD) and developed an imaging-derived early prediction model. In a case-control analysis of 118 PD patients and 58 matched controls, a lower analysis along the perivascular space (ALPS) index (odds ratio [OR] = 0.049, 95% confidence interval [CI]: 0.013-0.181) and elevated free water content, particularly in the temporal lobe (OR = 5.603, 95% CI: 3.093–10.150), were both associated with PD. Their combination provided the highest predictive accuracy for PD (area under the curve (AUC) = 0.818, 95% CI: 0.750–0.886). Furthermore, Mendelian randomization analysis demonstrated positive causal effects of frontal, occipital, parietal, and temporal lobes on PD risk (OR > 1, p ≤ 0.05). These findings indicate that glymphatic dysfunction and specific brain alterations are associated with PD, and that combining them may improve early prediction strategies.