Blood 1‐Deoxysphingolipid Levels Are Associated With Epidermal Denervation in Small Fiber Neuropathy

去神经支配 医学 神经纤维 纤维 病理 内科学 内分泌学 周围神经病变 感觉神经病变 周围神经
作者
Luisa Kreß,Caren Meyer zu Altenschildesche,Nadine Egenolf,Claudia Sommer,Thorsten Hornemann,Nurcan Üçeyler
出处
期刊:Journal of The Peripheral Nervous System [Wiley]
卷期号:30 (4): e70089-e70089
标识
DOI:10.1111/jns.70089
摘要

BACKGROUND AND AIMS: Dysfunctional sphingolipid metabolism leads to nerve fiber degeneration, particularly of small caliber Aδ and C fibers, in hereditary sensory and autonomic neuropathies. We aimed to investigate the association of blood 1-deoxysphingolipid (1-deoxySL) profiles and skin denervation in idiopathic small fiber neuropathy (SFN). METHODS: Seventy-five patients with idiopathic SFN were recruited prospectively. Patients underwent a skin punch biopsy at the lower leg and upper thigh for intraepidermal nerve fiber density (IENFD) quantification. IENFD was correlated with individual blood 1-deoxySL levels, amino acid profiles, and determinants of glucose and lipoprotein metabolism. RESULTS: Median distal IENFD in SFN patients was 5.3 fibers/mm. In 38/75 (51%) patients, IENFD was ≤ 5.3 fibers/mm (i.e., "low fiber density," LFD), while in 37/75 (49%) patients, IENFD was > 5.3 fibers/mm (i.e., "high fiber density," HFD). 1-deoxySL was higher in patients with LFD compared to HFD (p < 0.05). Fasting plasma glucose was also higher in patients with LFD than in patients with HFD (p < 0.01), while HDL was lower in patients with LFD compared to HFD (p < 0.001). INTERPRETATION: 1-deoxySL, lipoprotein metabolism, and glucose levels are associated with the extent of epidermal denervation in SFN, supporting the role of this metabolic axis in small nerve fiber pathology.
最长约 10秒,即可获得该文献文件

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
木子李完成签到,获得积分10
1秒前
酷波er应助糊涂神采纳,获得10
2秒前
YH完成签到 ,获得积分10
4秒前
果不欺然完成签到,获得积分10
5秒前
5秒前
7秒前
予星河关注了科研通微信公众号
7秒前
8秒前
9秒前
在水一方应助风中孤萍采纳,获得10
10秒前
YK发布了新的文献求助10
10秒前
cfjbxf完成签到,获得积分10
10秒前
11秒前
Hello应助ww采纳,获得10
12秒前
yonglong发布了新的文献求助20
13秒前
壮壮发布了新的文献求助10
14秒前
14秒前
14秒前
molihuakai应助西伯侯采纳,获得10
15秒前
18秒前
18秒前
18秒前
正直远望完成签到,获得积分10
18秒前
ZY发布了新的文献求助10
19秒前
库凯伊完成签到,获得积分10
19秒前
Liulu发布了新的文献求助10
19秒前
XQQDD发布了新的文献求助10
19秒前
20秒前
21秒前
SciGPT应助百里幻竹采纳,获得10
21秒前
21秒前
充电宝应助Swater采纳,获得10
21秒前
21秒前
李健的粉丝团团长应助1111采纳,获得30
22秒前
23秒前
24秒前
xing_xing应助刘苏琪采纳,获得20
24秒前
24秒前
Wd发布了新的文献求助10
25秒前
丰富语蕊应助YK采纳,获得10
26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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
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 7587930
求助须知:如何正确求助?哪些是违规求助? 9166232
关于积分的说明 19617994
捐赠科研通 7168110
什么是DOI,文献DOI怎么找? 3266931
关于科研通互助平台的介绍 2431835
邀请新用户注册赠送积分活动 2258886