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Functional and structural markers of peripheral microvascular autonomic neuropathy.周围微血管自主神经病变的功能和结构标志物。
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本文引用的文献

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Automatic Dendritic Spine Quantification from Confocal Data with Neurolucida 360.使用Neurolucida 360从共聚焦数据中自动进行树突棘定量分析。
Curr Protoc Neurosci. 2016 Oct 3;77:1.27.1-1.27.21. doi: 10.1002/cpns.16.
3
The clinical approach to autonomic failure in neurological disorders.神经系统疾病自主神经衰竭的临床处理方法。
Nat Rev Neurol. 2014 Jul;10(7):396-407. doi: 10.1038/nrneurol.2014.88. Epub 2014 May 27.
4
Postganglionic sudomotor denervation in patients with multiple system atrophy.多发性系统萎缩患者的节后汗腺运动神经去神经支配。
Neurology. 2014 Jun 17;82(24):2223-9. doi: 10.1212/WNL.0000000000000518. Epub 2014 May 16.
5
Calibration of wide-field deconvolution microscopy for quantitative fluorescence imaging.用于定量荧光成像的宽场反卷积显微镜校准
J Biomol Tech. 2014 Apr;25(1):31-40. doi: 10.7171/jbt.14-2501-002.
6
Quantification of sweat gland volume and innervation in neuropathy: Correlation with thermoregulatory sweat testing.神经病中汗腺体积和神经支配的量化:与体温调节性发汗试验的相关性。
Muscle Nerve. 2014 Oct;50(4):528-34. doi: 10.1002/mus.24185. Epub 2014 May 14.
7
Skin biopsies in the assessment of the autonomic nervous system.用于自主神经系统评估的皮肤活检
Handb Clin Neurol. 2013;117:371-8. doi: 10.1016/B978-0-444-53491-0.00030-4.
8
Quantitative fluorescence microscopy and image deconvolution.定量荧光显微镜检查与图像去卷积
Methods Cell Biol. 2013;114:407-26. doi: 10.1016/B978-0-12-407761-4.00017-8.
9
Contribution of QSART to the diagnosis of small fiber neuropathy.QSART 对小纤维神经病的诊断贡献。
Muscle Nerve. 2013 Dec;48(6):883-8. doi: 10.1002/mus.23891. Epub 2013 Oct 4.
10
Autonomic dysfunction is common in HIV and associated with distal symmetric polyneuropathy.自主神经功能障碍在 HIV 中很常见,并与远端对称性多发性神经病有关。
J Neurovirol. 2013 Apr;19(2):172-80. doi: 10.1007/s13365-013-0160-3. Epub 2013 Apr 12.

精细化定量汗腺神经支配。

Refined Quantitation of Sweat Gland Innervation.

机构信息

Department of Neurology, Mayo Clinic, Rochester, Minnesota (KM, AMS, JAG, JNM, PAL, WS).

出版信息

J Neuropathol Exp Neurol. 2019 May 1;78(5):453-459. doi: 10.1093/jnen/nlz015.

DOI:10.1093/jnen/nlz015
PMID:30861073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6467193/
Abstract

Skin biopsies have gained increasing popularity as a tool to evaluate disorders affecting small nerve fibers. While reports on sweat gland nerve fiber density (SGNFD) to quantitate sudomotor innervation have been promising, methodologies vary significantly. Although conventional stereology is commonly used, no standard technique has been established. We sought to develop an accurate and reproducible technique to quantify SGNFD. Skin punch biopsies from healthy individuals were cut and stained. Images of sweat glands (SGs) were acquired using confocal and widefield microscopes, and optimized using deconvolution. Nerve fibers were reconstructed and nerve fiber length (NFL) was quantified using three-dimensional (3D) automated software. SGNFD was obtained by dividing NFL by SG volume. SGNFD was also assessed using stereology for comparison. Ninety-two SGs from 10 healthy subjects were analyzed by independent observers. Using confocal microscopy, the software reliably traced nerve fibers. In contrast, rendering of nerve fibers was inferior using widefield microscopy. Interobserver reliability was suboptimal using widefield images compared to confocal (ICC = 0.82 vs ICC = 0.98). Correlation between 3D-reconstruction and stereology was poor (ICC = 0.38). The newly developed technique of SGNFD quantitation using 3D reconstruction of SG innervation with confocal microscopy reliably traces nerve fibers, shows outstanding reproducibility, is almost completely unbiased, and superior to conventional stereology methods.

摘要

皮肤活检作为评估影响小神经纤维疾病的一种工具越来越受到重视。虽然有关定量评估汗腺神经纤维密度(SGNFD)以评估自主神经支配的报告很有前景,但方法差异很大。尽管常规体视学法被广泛应用,但尚未建立标准技术。我们试图开发一种准确且可重复的技术来量化 SGNFD。从健康个体中获取皮肤打孔活检标本并进行切割和染色。使用共聚焦和宽场显微镜获取汗腺(SG)图像,并使用反卷积进行优化。使用三维(3D)自动化软件重建神经纤维并量化神经纤维长度(NFL)。通过将 NFL 除以 SG 体积来获得 SGNFD。还使用体视学法评估 SGNFD 进行比较。由两位独立观察者分析了 10 名健康受试者的 92 个 SG。使用共聚焦显微镜,软件可以可靠地追踪神经纤维。相比之下,使用宽场显微镜进行神经纤维渲染的效果较差。与共聚焦相比,宽场图像的观察者间可靠性较差(ICC = 0.82 vs ICC = 0.98)。3D 重建与体视学法之间的相关性较差(ICC = 0.38)。使用共聚焦显微镜对 SG 神经支配进行 3D 重建以定量 SGNFD 的新技术可靠地追踪神经纤维,显示出出色的可重复性,几乎完全无偏倚,优于传统的体视学法。