Literature DB >> 30861073

Refined Quantitation of Sweat Gland Innervation.

Karla Minota1, Ann M Schmeichel1, Jade A Gehrking1, Jay N Mandrekar1, Phillip A Low1, Wolfgang Singer1.   

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.
© 2019 American Association of Neuropathologists, Inc. All rights reserved.

Entities:  

Keywords:  Dermal autonomic innervation; Nerve fiber density; Sudomotor innervation; Sweat gland innervation

Mesh:

Year:  2019        PMID: 30861073      PMCID: PMC6467193          DOI: 10.1093/jnen/nlz015

Source DB:  PubMed          Journal:  J Neuropathol Exp Neurol        ISSN: 0022-3069            Impact factor:   3.685


  31 in total

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