From Brain Research Imaging Centre (B.S.A., S.W., Z.M., M.C.V.-H., N.A.R., S.M.M., M.E.B., J.M.W.), Centre for Cognitive Ageing and Cognitive Epidemiology (B.S.A., M.C.V.-H., N.A.R., S.M.M., A.J.G., M.E.B., J.S., I.J.D., J.M.W.), Department of Psychology (J.C., I.J.D.), and Geriatric Medicine Unit (J.S.), University of Edinburgh, Edinburgh, United Kingdom; Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), Edinburgh, United Kingdom (B.S.A., M.C.V.-H., N.A.R., S.M.M., M.E.B., J.M.W.); Department of Computer Science, Lagos State University, Nigeria (B.S.A.); and Department of Psychology, Heriot-Watt University, United Kingdom (A.J.G.).
Stroke. 2014 Feb;45(2):605-7. doi: 10.1161/STROKEAHA.113.004059. Epub 2014 Jan 7.
White matter hyperintensities (WMH) and perivascular spaces (PVS) are features of small vessel disease, found jointly on MRI of older people. Inflammation is a prominent pathological feature of small vessel disease. We examined the association between inflammation, PVS, and WMH in the Lothian Birth Cohort 1936 (N=634).
We measured plasma fibrinogen, C-reactive protein, and interleukin-6 and rated PVS in 3 brain regions. We measured WMH volumetrically and visually using the Fazekas scale. We derived latent variables for PVS, WMH, and Inflammation from measured PVS, WMH, and inflammation markers and modelled associations using structural equation modelling.
After accounting for age, sex, stroke, and vascular risk factors, PVS were significantly associated with WMH (β=0.47; P<0.0001); Inflammation was weakly but significantly associated with PVS (β=0.12; P=0.048), but not with WMH (β=0.02; P=NS).
Circulating inflammatory markers are weakly associated with MR-visible PVS, but not directly with WMH. Longitudinal studies should examine whether visible PVS predate WMH progression and whether inflammation modulators can prevent small vessel disease.
脑白质高信号(WMH)和血管周围间隙(PVS)是小血管疾病的特征,在老年人的 MRI 上联合发现。炎症是小血管疾病的一个突出的病理特征。我们在洛锡安出生队列 1936 年(N=634)中检查了炎症、PVS 和 WMH 之间的关联。
我们测量了血浆纤维蛋白原、C 反应蛋白和白细胞介素-6,并对 3 个脑区的 PVS 进行了评分。我们使用 Fazekas 量表对 WMH 进行了容积和视觉测量。我们从测量的 PVS、WMH 和炎症标志物中得出了 PVS、WMH 和炎症的潜在变量,并使用结构方程模型来模拟关联。
在考虑了年龄、性别、中风和血管危险因素后,PVS 与 WMH 显著相关(β=0.47;P<0.0001);炎症与 PVS 呈弱相关(β=0.12;P=0.048),但与 WMH 无显著相关(β=0.02;P=NS)。
循环炎症标志物与 MR 可见的 PVS 弱相关,但与 WMH 无直接相关。纵向研究应检查可见的 PVS 是否先于 WMH 进展,以及炎症调节剂是否可以预防小血管疾病。