Refined Quantitation of Sweat Gland Innervation

汗腺神经支配的精细定量分析

阅读:1

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.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。