4.4 Article

Human enteric neurons: morphological, electrophysiological, and neurochemical identification

Journal

NEUROGASTROENTEROLOGY AND MOTILITY
Volume 26, Issue 12, Pages 1812-1816

Publisher

WILEY
DOI: 10.1111/nmo.12453

Keywords

carboxyfluorescein; electrophysiology; human colon; myenteric neurons

Funding

  1. Australian National Health & Medical Research Council [1032414]
  2. BioLED research unit, Victoria University

Ask authors/readers for more resources

BackgroundAccess to tissue, difficulties with dissection, and poor visibility of enteric ganglia have hampered electrophysiological recordings of human enteric neurons. Here, we report a method to combine intracellular recording with simultaneous morphological identification of neurons in the intact myenteric plexus of human colon ex vivo. MethodsSpecimens of human colon were dissected into flat-sheet preparations with the myenteric plexus exposed. Myenteric neurons were impaled with conventional microelectrodes containing 5% 5,6-carboxyfluorescein in 20mM Tris buffer and 1M KCl. Key ResultsElectrophysiological recordings identified myenteric neurons with S and AH type properties (n=13, N=7) which were dye filled and classified during the recording as Dogiel type I (n=10), Dogiel type II (n=2), or filamentous (n=1) cells. This classification was confirmed after fixation, in combination with immunohistochemical characterization. Conclusions & InferencesThis method allows electrophysiological characterization with simultaneous identification of morphology. It can be used to identify recorded cells immediately after impalement and greatly facilitates recordings of human myenteric neurons in freshly dissected specimens of tissue. It can also be combined with immunohistochemical labeling of recorded cells.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available