脑间质流体动力学磁共振成像指标及食欲素拮抗剂对睡眠的影响。

Toshiaki Taoka, Kunihiro Iwamoto, Seiko Miyata, Rintaro Ito, Rei Nakamichi, Toshiki Nakane, Ippei Okada, Kazushige Ichikawa, Hirohito Kan, Koji Kamagata, Junko Kikuta, Shigeki Aoki, Akihiro Fujimoto, Yuki Kogo, Nobuyasu Ichinose, Shinji Naganawa, Norio Ozaki
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引用次数: 0

摘要

目的:本研究的目的是评估leleborexant改善睡眠对间质流体动力学变化的影响程度。方法:采用沿血管间隙弥散张量图像分析(DTI-ALPS)、动态对比增强法评估组织血管通透性(Ktrans)、脉络膜丛容积(CPV) 3种方法。使用Pearson相关分析评估这些成像指标与睡眠参数(持续睡眠潜伏期[LPS]、睡眠后醒来[WASO]、总睡眠时间[TST]和睡眠效率[SE])之间的相关性。此外,采用多元回归分析和线性混合模型分析评估基线睡眠状态与影像学参数变化的关系。在治疗开始前(第0、w0周)和给药后12周(第12、w12周)进行MRI和睡眠评估。结果:0时alps指数与LPS呈负相关,与TST、SE呈正相关。在多元回归分析中,在w0时,除LPS外其他睡眠参数较差时,alps指数较低。线性混合模型分析表明,0岁时LPS和SE睡眠状态差可能对alps指数升高有影响。在Ktrans测量的评价中,单回归分析显示Ktrans的减少与LPS的缩短之间存在统计学意义上的相关性。CPV与睡眠参数的检测显示,TST与CPV在w0和w12时呈显著负相关。多元回归分析也表明,w12的TST对w12的CPV有显著影响。结论:我们的研究结果提示睡眠状态差与给药后alps指数变化较大有关,CPV改善可能部分与睡眠参数改善有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MR Imaging Indices for Brain Interstitial Fluid Dynamics and the Effects of Orexin Antagonists on Sleep.

Purpose: The purpose of this study was to assess the extent to which improvement in sleep with lemborexant contributed to changes in interstitial fluid dynamics.

Methods: The 3 methods including diffusion tensor image analysis along the perivascular space (DTI-ALPS), dynamic contrast-enhanced method to assess tissue vascular permeability (Ktrans), and choroid plexus volume (CPV) were used. Correlations between these imaging indices and sleep parameters (latency to persistent sleep [LPS], wake after sleep onset [WASO], total sleep time [TST], and sleep efficiency [SE]) were evaluated using Pearson correlation analysis. Additionally, multiple regression analysis and linear mixed model analysis were employed to assess the relationship between baseline sleep status and imaging parameter changes. MRI and sleep assessments were performed before treatment initiation (week 0, w0) and at 12 weeks after lemborexant administration (week 12, w12).

Results: The ALPS-index was inversely correlated with LPS and positively correlated with TST and SE at w0. In multiple regression analysis, ALPS-index was lower when sleep parameters other than LPS were poor at w0. A linear mixed model analysis suggested that poor sleep status in LPS and SE at w0 may have an effect on greater ALPS-index. In the evaluation of Ktrans measurement, the single regression analysis showed a statistically significant correlation between the reduction in Ktrans and the shortening in LPS. Examination of CPV and sleep parameters showed a significant negative correlation between TST and CPV at w0 and w12. Multiple regression analysis also showed that TST of w12 had a significant effect on CPV at w12.

Conclusion: Our results suggested that poor sleep status is related to the greater change of ALPS-index and CPV improvement after lemborexant administration may be related to in part to sleep parameter improvement.

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