Arteriolosclerosis differs from venular collagenosis in relation to cerebrovascular parenchymal damages: an autopsy-based study

作者
Yuan Cao,Meiying Huang,Chenhui Mao,Xue Wang,Yuanyuan Xu,Xiaojing Qian,Chao Ma,Wenying Qiu,Yi‐Cheng Zhu
出处
期刊:Stroke and vascular neurology [BMJ]
卷期号:8 (4): 267-275 被引量:13
标识
DOI:10.1136/svn-2022-001924
摘要

BACKGROUND AND PURPOSE: Cerebrovascular parenchymal damage is prevalent in ageing brains; however, its vascular aetiology has not been fully elucidated. In addition to the underlying role of sclerotic arterioles, the correlation between collagenised venules has not been clarified. Here, we aimed to investigate the associations between microvascular injuries, including arteriolosclerosis and venular collagenosis, and related parenchymal damages in ageing brains, to investigate the underlying correlations. METHODS: We evaluated arteriolosclerosis and venular collagenosis in 7 regions from 27 autopsy cases with no history of stroke or brain tumour. The correlations between the ratio of arteriolosclerosis, venular collagenosis and the severity of cerebrovascular parenchymal damage, including lacunes, microinfarcts, myelin loss, and parenchymal and perivascular haemosiderin deposits, were assessed. RESULTS: Arteriolosclerosis and venular collagenosis became more evident with age. Arteriolosclerosis was associated with lacunes (p=0.004) and brain parenchymal haemosiderin deposits in the superior frontal cortex (p=0.024) but not with leukoaraiosis severity. Venular collagenosis was not associated with the number of lacunes or haemosiderin, while white matter generally became paler with severe venular collagenosis in the periventricular (β=-0.430, p=0.028) and deep white matter (β=-0.437, p=0.025). CONCLUSION: Our findings imply an important role for venular lesions in relation to microvessel-related parenchymal damage which is different from that for arteriolosclerosis. Different underlying mechanisms of both cerebral arterioles and venules require further investigation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
白白发布了新的文献求助10
2秒前
zbbrainbow完成签到,获得积分10
2秒前
踏实的惋庭完成签到,获得积分10
3秒前
慕青应助大可采纳,获得10
3秒前
3秒前
4秒前
华仔应助shubo采纳,获得10
4秒前
4秒前
东方元语应助sym采纳,获得20
5秒前
5秒前
不知完成签到,获得积分10
6秒前
我的完成签到,获得积分10
6秒前
共享精神应助Cindy165采纳,获得10
6秒前
万能图书馆应助wforike采纳,获得10
7秒前
万能图书馆应助木木采纳,获得10
9秒前
牧青应助史萌采纳,获得50
10秒前
顾矜应助火星上的元容采纳,获得10
10秒前
11秒前
眼睛大的比巴卜完成签到,获得积分10
11秒前
侧耳倾听发布了新的文献求助10
11秒前
ziyuexu完成签到,获得积分10
11秒前
谦让难破发布了新的文献求助50
11秒前
Lucas完成签到,获得积分10
11秒前
丘比特应助1111111采纳,获得10
12秒前
大胆夜绿完成签到,获得积分20
12秒前
Waiting发布了新的文献求助10
12秒前
ZM完成签到 ,获得积分10
14秒前
15秒前
大模型应助铝21采纳,获得10
15秒前
CodeCraft应助我的采纳,获得10
15秒前
敏感代云完成签到,获得积分10
15秒前
cc发布了新的文献求助10
16秒前
16秒前
机灵小馒头完成签到,获得积分10
17秒前
小二郎应助123采纳,获得10
18秒前
舒适的秋尽完成签到 ,获得积分10
18秒前
18秒前
Cindy165发布了新的文献求助10
21秒前
科研通AI6.2应助TGH采纳,获得10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7647418
求助须知:如何正确求助?哪些是违规求助? 9219626
关于积分的说明 19787093
捐赠科研通 7212386
什么是DOI,文献DOI怎么找? 3277343
关于科研通互助平台的介绍 2438726
邀请新用户注册赠送积分活动 2275688