Published February 2022 | Version Accepted Version
Journal Article Open

Whole gut imaging allows quantification of all enteric neurons in the adult zebrafish intestine

  • 1. ROR icon University of California, Los Angeles
  • 2. ROR icon California Institute of Technology

Abstract

Background: A fundamental understanding of the enteric nervous system in normal and diseased states is limited by the lack of standard measures of total enteric neuron number. The adult zebrafish is a useful model in this context as it is amenable to in toto imaging of the intestine. We leveraged this to develop a technique to image and quantify all enteric neurons within the adult zebrafish intestine and applied this method to assess the relationship between intestinal length and total enteric neuron number. Methods: Dissected adult zebrafish intestines were immunostained in wholemount, optically cleared with refractive index-matched solution, and then imaged in tiles using light-sheet microscopy. Imaging software was used to stitch the tiles, and the full image underwent automated cell counting. Total enteric neuron number was assessed in relation to intestinal length using linear regression modeling. Key Results: Whole gut imaging of the adult zebrafish intestine permits the visualization of endogenous and immunohistochemistry-derived fluorescence throughout the intestine. While enteric neuron distribution is heterogeneous between intestinal segments, total enteric neuron number positively correlates with intestinal length. Conclusions & Inferences: Imaging of all enteric neurons within the adult vertebrate intestine is possible in models such as the zebrafish. In this study, we apply this to demonstrate a positive correlation between enteric neuron number and intestinal length. Quantifying total enteric numbers will facilitate future studies of enteric neuropathies and ENS structure in animal models and potentially in biopsied tissue samples.

Additional Information

© 2021 John Wiley & Sons Ltd. Issue Online: 28 January 2022; Version of Record online: 04 December 2021; Manuscript accepted: 27 October 2021; Manuscript revised: 22 July 2021; Manuscript received: 20 January 2021. This work was supported by the National Institutes of Health (NIH R35NS111564 to M.E.B., NIH R01NS108500 to M.E.B., and NIH K08DK123387 to WNE).

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Accepted Version - nihms-1762454.pdf

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Additional details

Identifiers

PMCID
PMC8799505
Eprint ID
112603
Resolver ID
CaltechAUTHORS:20211221-619103000

Funding

NIH
R35NS111564
NIH
R01NS108500
NIH
K08DK123387

Dates

Created
2021-12-21
Created from EPrint's datestamp field
Updated
2023-07-06
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
Division of Biology and Biological Engineering (BBE)