The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space.
The Influence of Demographics and Vascular Risk Factors on Glymphatic Function Measured by Diffusion Along Perivascular Space.
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DOI：
10.3389/fnagi.2021.693787
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发表时间：
2021
影响因子：
4.8
通讯作者：
Huang P
中科院分区：
文献类型：
--
作者：
Zhang Y;Zhang R;Ye Y;Wang S;Jiaerken Y;Hong H;Li K;Zeng Q;Luo X;Xu X;Yu X;Wu X;Yu W;Zhang M;Huang P
用活体成像方法评估淋巴功能对了解其在重大脑部疾病中的作用具有重要价值。在本研究中，我们旨在验证各种危险因素与潜在的淋巴功能指标--沿血管周围空间扩散张量图像分析(ALPS指数)之间的关系。我们从社区招募了142名受试者，并进行了多模式磁共振成像扫描。根据扩散张量成像数据计算Alps指数，并用回归分析研究其与人口统计学因素、血管因素的关系。我们发现阿尔卑斯指数与年龄呈负相关(β=−0.284，p<；0.001)。女性阿尔卑斯指数显著高于男性(β=−0.243，p=0.001)。高血压患者的阿尔卑斯指数显著低于非高血压患者(β=−0.189，p=0.013)。此外，静脉阻断可降低阿尔卑斯指数(β=−0.215，p=0.003)。总体而言，我们的结果与先前关于淋巴功能障碍的病理生理学动物研究的概念和结果是一致的。未来使用这种方法的研究应该考虑引入上述因素作为重要的协变量。
Assessing glymphatic function using in-vivo imaging method is of great value for understanding its contribution to major brain diseases. In the present study, we aim to validate the association between a variety of risk factors and a potential index of glymphatic function—Diffusion Tensor Image Analysis Along the Perivascular Space (ALPS index). We enrolled 142 subjects from communities and performed multi-modality magnetic resonance imaging scans. The ALPS index was calculated from diffusion tensor imaging data, and its associations with demographic factors, vascular factors were investigated using regression analyses. We found that the ALPS index was negatively associated with age (β = −0.284, p < 0.001). Compared to males, females had significantly higher ALPS index (β = −0.243, p = 0.001). Hypertensive subjects had significantly lower ALPS index compared to non-hypertensive subjects (β = −0.189, p = 0.013). Furthermore, venous disruption could decrease ALPS index (β = −0.215, p = 0.003). In general, our results are in consistent with previous conceptions and results from animal studies about the pathophysiology of glymphatic dysfunction. Future studies utilizing this method should consider introducing the above-mentioned factors as important covariates.
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影响因子：
2.1
作者：
Taoka T;Naganawa S
通讯作者：
Naganawa S
影响因子：
--
作者：
Chen HL;Chen PC;Lu CH;Tsai NW;Yu CC;Chou KH;Lai YR;Taoka T;Lin WC
通讯作者：
Lin WC
中脑血管周围空间扩张可能反映帕金森病中的多巴胺神经元变性
影响因子：
4.8
作者：
Li, Yanxuan;Zhu, Zili;Huang, Peiyu
通讯作者：
Huang, Peiyu
影响因子：
3.7
作者：
Daversin-Catty C;Vinje V;Mardal KA;Rognes ME
通讯作者：
Rognes ME
DOI：
10.1126/science.abb8739
发表时间：
2020-10-02
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Nedergaard M;Goldman SA
通讯作者：
Goldman SA