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Figure 2. ; Protein gene product (PGP)- and calcitonin gene-related peptide (CGRP)-positive nerve to measure the nerve distribution. The bone area in each region was measured, and the number of nerves in each bone area was measured using AxioVision image analysis software. Red arrows indicate nerves. The scale bar shows 50 μm.
Kanae Kudo,
Katsunori Tanaka,
Kimiharu Ambe,
Hiroyoshi Kawaai, and
Shinya Yamazaki
<bold>Figure 2.</bold>
Figure 2.

Protein gene product (PGP)- and calcitonin gene-related peptide (CGRP)-positive nerve to measure the nerve distribution. The bone area in each region was measured, and the number of nerves in each bone area was measured using AxioVision image analysis software. Red arrows indicate nerves. The scale bar shows 50 μm.

Figure 3. ; Statistical analysis of vertical nerve distribution density. All graphs are shown in mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference on chi-square test.
Kanae Kudo,
Katsunori Tanaka,
Kimiharu Ambe,
Hiroyoshi Kawaai, and
Shinya Yamazaki
<bold>Figure 3.</bold>
Figure 3.

Statistical analysis of vertical nerve distribution density. All graphs are shown in mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference on chi-square test.

Figure 4. ; Statistical analysis of horizontal nerve distribution density. All graphs are shown as mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference by chi-square test.
Kanae Kudo,
Katsunori Tanaka,
Kimiharu Ambe,
Hiroyoshi Kawaai, and
Shinya Yamazaki
<bold>Figure 4.</bold>
Figure 4.

Statistical analysis of horizontal nerve distribution density. All graphs are shown as mean ± standard deviation. PGP: All nerves were stained by protein gene product 9.5 antibody. CGRP: Pain-sensitive nerves were stained by calcitonin gene-related peptide antibody. *p < .05; **p < .01; ns, no significant difference by chi-square test.

Immunohistochemical Analysis of Nerve Distribution in Mandible of Rats
Kanae KudoDDS, PhD,
Katsunori TanakaDDS, PhD,
Kimiharu AmbeDDS, PhD,
Hiroyoshi KawaaiDDS, PhD, and
Shinya YamazakiDDS, PhD
Article Category: Research Article
Volume/Issue: Volume 66: Issue 2
Online Publication Date: Jan 01, 2019
DOI: 10.2344/anpr-66-01-10
Page Range: 87 – 93

antibody. Rabbit anti-protein gene product (PGP) 9.5 antibody (RA95101; UltraClone Limited, Inc, UK) (1:1000 dilution) was used as the primary antibody for all nerves. 11 Goat anti-calcitonin gene-related peptide (CGRP) antibody (LS-C41796; LSBio, Inc, Seattle, WA) (1:500 dilution) was used as the primary antibody for pain-sensitive nerves. 12 The interpretations of PGP-positive and CGRP-positive nerves by classification of nerves 13 were shown in Table 1 . The sections were reacted with the primary antibodies at room temperature for 18 hours. The sections were then

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Figure 1. ; The region was divided vertically into 5 sections (A, B, C, D, and E). In addition, the C region was divided horizontally into equal thirds (CL, CC, and CP). Nerve distribution density was measured in each region, and the number of nerves per bone area was expressed as number of nerve fibers per mm2.
Kanae Kudo,
Katsunori Tanaka,
Kimiharu Ambe,
Hiroyoshi Kawaai, and
Shinya Yamazaki
<bold>Figure 1.</bold>
Figure 1.

The region was divided vertically into 5 sections (A, B, C, D, and E). In addition, the C region was divided horizontally into equal thirds (CL, CC, and CP). Nerve distribution density was measured in each region, and the number of nerves per bone area was expressed as number of nerve fibers per mm2.