Topographical distribution and morphology of SP-IR axons in the antrum, pylorus, and duodenum of mice
Duyen Nguyen, Jichao Ma, Ariege Bizanti, Yuanyuan Zhang, Kohlton Bendowski, Jin Chen, Zixi (Jack) Cheng, Andrew Kwiat, Anas Mistareehi, Jazune Madas, Nicole Kogut
substance P
nociceptive afferent
myenteric plexus
longitudinal and circular muscles
submucosa
mucosa
sections
confocal microscope
Abstract
This protocol describes the process of identifying the distribution and morphology of substance P (SP) immuno-reactive axons and terminals in the antrum, pylorus, and duodenum of mice. The antrum-pylorus-duodenum (APD) region was sectioned and immunohistochemically labeled for SP. To determine the distribution and morphology of SP-IR axons and calculate their density in different layers of APD, a Zeiss M2 Imager was used to scan each serial section. Each section was presented as a montage of approximately 50 all-in-focus maximum projection images. To determine the detailed structures of SP-IR axons and terminals, the confocal microscope was used to scan the regions of interest.
Steps
Animals
12 to 13-week old male
animals.
Tissue preparation
Animals were deeply anesthetized with 5%
A cut was made in the inferior vena cava to drain the blood and perfusate.
The mice were perfused through the left ventricle with 38◦C phosphate-buffered saline (0.1 M PBS, pH = 7.4) for 5 min, then fixed by perfusion with 4% paraformaldehyde at 4◦C (PFA 4 % in PBS, pH = 7.4).
The whole stomach with the proximal portion of the duodenum was removed. The APD was cut and separated from the whole stomach, then the contents within the APD were removed, and rinsed with distilled water, followed by a 24 h post-fixation in the same fixative.
After post-fixation, the APD was washed 3 times in PBS (10 min each) and then cryoprotected in graded sucrose (10%, 20%, and 30%, sucrose in PBS) at 4 ◦C until the samples sank in the sucrose (10% and 20%) and overnight for 30%.
The samples were then dried and embedded in
Using
Equipment
Value | Label |
---|---|
CM1900 | NAME |
Cryostat | TYPE |
Leica | BRAND |
Cryostat | SKU |
, the sections (100 μm) were cut and mounted on
Immunohistochemistry
APD area from 6 animals were used for SP single labeling, and another 2 were used for SP double labeling with vesicular acetylcholine transporter (VAChT) or tyrosine hydroxylase (TH). All animals were injected (intraperitoneally) with
The sections were washed 3 times in PBS (10 min each) and blocked for 24h in a blocking mixture containing 2% bovine serum albumin, 10% normal donkey serum, 2% Triton X-100, and 0.08% sodium azide in 0.1 M PBS, pH = 7.4. The tissue samples were incubated for 2 days with a mixture of primary antibodies diluted in a solution comprising of 2% bovine serum albumin, 4% normal goat and donkey serum, 0.5% Triton X-100, and 0.08% sodium azide in 0.01 M PBS, pH = 7.4).
The primary antibodies that were used:
Polyclonal
Either polyclonal
The sections were carefully washed 3 times (10 min each) in PBS-T (0.5 % Triton X-100 in 0.01 M PBS) to remove unbound primary antibodies and then incubated for 24 h with secondary antibodies in PBS-T.
The secondary antibodies that were used:
Unbound secondary antibodies were removed from tissues by 6 × 5 min washes in PBS.
For double-labeled tissues with SP and PGP 9.5, the antibodies were administered in the following sequence: blocking, SP primary antibody, PBS-T wash, Fab fragment secondary antibody, PBS wash, blocking, PGP 9.5 primary antibody, PBS-T wash, secondary antibody, and a final wash with PBS.
The use of fragmented antibodies instead of fully intact secondary antibody was to reduce cross-reactivity (Gramer et al., 2013; Kholodenko et al., 2019; Yanakieva et al., 2022). Sections were coverslipped with
Negative controls were performed by omitting primary or secondary antibodies. Positive controls were performed by double labeling the tissue with SP and PGP 9.5. The listing of antibodies used in this study is summarized in the table below.
A | B | C | D | E |
---|---|---|---|---|
Antibody | Host | Concentration | Excitation wavelength | Company |
Anti-SP (1) | Rabbit | 1:400 | n/a | Immunostar |
Anti-VAChT (1) | Goat | 1:400 | n/a | Millipore Sigma |
Anti-TH (1) | Sheep | 1:400 | n/a | Millipore Sigma |
Anti-PGP 9.5 (1) | Rabbit | 1:400 | n/a | Abcam |
Alexa Fluor Anti-rabbit (2) | Donkey | 1:200 | 594 | Thermo Fisher Scientific |
Alexa Fluor Anti-goat (2) | Donkey | 1:200 | 488 | Thermo Fisher Scientific |
Alexa Fluor Anti-sheep (2) | Donkey | 1:200 | 488 | Thermo Fisher Scientific |
Alexa Fluor 488-AffiniPure Fab Fragment | Donkey | 1:200 | 488 | Jackson ImmunoResearch |
(1) primary antibody, (2) secondary antibody
Data acquisition and analysis
Image stacks of the serial sections were collected using
Equipment
Value | Label |
---|---|
Axio Imager.M2 | NAME |
Upright microscope | TYPE |
Zeiss | BRAND |
Zeiss | SKU |
(20× objective lens, z-step: 1.5 μm, 594 nm filter) lens. Maximum projection images were acquired from the image stacks and organized into a montage to generate a complete image of each section.
To show the details of the SP, TH, and VAChT axon and varicosity distributions and projections to different targets in various layers and regions of the APD,
Equipment
Value | Label |
---|---|
TCS SP5 | NAME |
Laser scanning confocal microscope | TYPE |
Leica | BRAND |
Leica | SKU |
was used to acquire optical section images at high magnification (40× oil immersion objective lens, zoom X 1.5, Z-step: 1 μm).
Maximum projection images were used to show the overall innervation across the whole tissue thickness, while single optical sections revealed the details at a single cell/axon/varicosity level.
The helium‑neon (HeNe) laser (excitation 543 nm) was used to detect SP-IR axons, the argon–krypton (ArKr) laser (excitation 488 nm) was used to detect TH, and VAChT, and the background autofluorescence of the tissues (e.g. smooth muscles, blood vessels, mucosal glands), and the 405 nm laser (excitation) was used for the detection and verification of FG-labeled myenteric and submucosal ganglionic neurons.
Software
Value | Label |
---|---|
ImageJ/Fiji | NAME |
Windows | OS_NAME |
7 | OS_VERSION |
http://wsr.imagej.net/distros/win/ij152-win-java8.zip | REPOSITORY |
National Institutes of Health | DEVELOPER |
https://imagej.nih.gov/ij/ | LINK |
1.8.0 | VERSION |
(https://imagej.net/, RRID: SCR_003070) and
Software
Value | Label |
---|---|
Adobe Photoshop | NAME |
Adobe | DEVELOPER |
https://www.adobe.com/products/photoshop.html | LINK |
2020 | VERSION |
(https://www.adobe.com/products/photoshop.html, RRID: SCR_014199) were used for the image processing and enhancement including brightness, contrast adjustments, and scale bar addition. All serial sections in each APD were well preserved without damage during sectioning, processing, and mounting.
Density analysis
The density of the SP-IR axons was the amount of nerve signals in a defined area of tissue.
The density analysis of SP-IR axons in the sections started by importing the montages acquired with the Zeiss M2 imager into Photoshop where the muscular layer was separated from the submucosa and mucosa.
Each subsection was exported as a .png file into
Software
Value | Label |
---|---|
Icy | NAME |
Windows/MacOS/Linux | OS_NAME |
http://icy.bioimageanalysis.org | REPOSITORY |
BioImage Analysis Lab (Institut Pasteur) | DEVELOPER |
http://icy.bioimageanalysis.org | LINK |
(RRID: SCR_010587) where two-pixel densities (all signals and axon signals) were calculated and exported into an Excel file.
The total surface area (all signals) was calculated by applying a low threshold to keep all the signals produced by muscle, ganglia, axons, or any background from the tissue. The axon signals were calculated by applying a high threshold to exclude all signals coming from the tissue and keep only the signals that were produced by SP-IR axons. The plugin Skeletonize was applied on the binarized image to ensure that axons are expressed by a centerline and the thickness of the diameter will not affect the density calculations.
To calculate the axon density in each region in Excel, the number of axon signal pixels was divided by the number of surface area pixels. Data are expressed as means of all samples' densities in percentages ± standard error of the mean (SEM).
Percentage data were normalized and passed the Shapiro-Wilk test before statistical analysis. One-way analysis of variance followed by all-pairwise multiple comparisons (Tukey's HSD) was used for statistical comparisons. The statistical analyses were performed using
Software
Value | Label |
---|---|
Prism | NAME |
GraphPad | DEVELOPER |
https://www.graphpad.com/scientific-software/prism/ | LINK |
8.0 | VERSION |
(version 8; GraphPad Software, Inc., RRID:SCR_002798). P < 0.05 was considered statistically significant.