Figure 4

Figure 4. Enhanced corticosterone production during TMT mediates chronification of mechanical hypersensitivity in CFA-primed mice. (A) Mice were injected with CFA and given 10 days to recover. 30 minutes before a single exposure to TMT, mice were injected with the corticosterone-synthesis inhibitor metyrapone (50 mg/kg). (B) Raster plots of freezing behavior during TMT exposure for metyrapone-treated mice. (C) Metrapone blocks freezing behavior during TMT and eliminates the group difference in freezing between CFA-primed and naive mice. (D) metyrapone blocks the increase in freezing across minutes with TMT. (E) There was no increase in the length of freezing episodes across the TMT session for metyrapone-treated mice. (F) Mechanical hypersensitivity after TMT in the left hindpaws. (G) Mechanical hypersensitivity after TMT in the right hidpaws.

Time Spent Freezing Behavior During TMT

Next, we administered the corticosterone synthesis inhibitor metyrapone to CFA-primed and pain-naive mice 30 minutes before a single five-minute TMT exposure to determine whether the hormonal stress response is necessary for TMT-induced freezing or mechanical hypersensitivity (Figure 4A).

b <- data  %>%
  filter(Behavior == "freeze") %>%
  group_by(ID,Condition) %>%
  summarise(
    sum=sum(Duration),
    Number=n(),
  ) %>%
  mutate(Perc = (sum / 300)*100) %>%
  mutate(Av_DUR = (sum / Number))
## `summarise()` has grouped output by 'ID'. You can override using the `.groups`
## argument.
t.test(Perc~Condition,data=b,var.equal=TRUE)
## 
##  Two Sample t-test
## 
## data:  Perc by Condition
## t = 1.4134, df = 14, p-value = 0.1794
## alternative hypothesis: true difference in means between group Naive and group CFA is not equal to 0
## 95 percent confidence interval:
##  -0.4533198  2.2054031
## sample estimates:
## mean in group Naive   mean in group CFA 
##            2.092833            1.216792

Although metryapone does not alter general locomotor behavior in an open field (Figure S4), inhibition of corticosterone synthesis prevented TMT-induced freezing (Figure 4B) and eliminated the group differences in freezing between CFA-primed and pain-naive mice (p = 0.17, Figure 4C).

a <- data %>%
  na.omit() %>%
  mutate(Bins = cut(
    Start_clean,
    breaks = 5,
    labels=c("1","2","3","4","5")
  )) %>%
  group_by(ID, Behavior, Condition, Bins) %>%
  filter(Behavior == "freeze")

anova <- aov(Duration~Bins*Condition,data=a)
summary(anova)
##                 Df Sum Sq Mean Sq F value Pr(>F)
## Bins             4   1.77  0.4415   1.234  0.300
## Condition        1   0.29  0.2934   0.820  0.367
## Bins:Condition   4   2.52  0.6291   1.758  0.142
## Residuals      120  42.93  0.3578

Blocking the hormonal stress response also prevented the expected increase in freezing over the five-minute TMT exposure (p = 0.30, Figure 4D)

x <- data %>%
  filter(Duration < 4)

b <- lm(Duration~Start_clean * Condition, data=x)
summary(b)
## 
## Call:
## lm(formula = Duration ~ Start_clean * Condition, data = x)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -0.9888 -0.5259 -0.1586  0.3371  2.9247 
## 
## Coefficients:
##                            Estimate Std. Error t value Pr(>|t|)    
## (Intercept)               1.0959277  0.0725218  15.112   <2e-16 ***
## Start_clean              -0.0003900  0.0004045  -0.964    0.335    
## ConditionCFA             -0.0312178  0.1054500  -0.296    0.767    
## Start_clean:ConditionCFA  0.0008662  0.0005866   1.477    0.140    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.7025 on 756 degrees of freedom
## Multiple R-squared:  0.008431,   Adjusted R-squared:  0.004496 
## F-statistic: 2.143 on 3 and 756 DF,  p-value: 0.09349

and the extension of freezing episode duration across the session (p = 0.30, Figure 4E).

Raw VF scores

# Left paws
L_res <- aov(value ~ variable * Condition, data = a)
summary(L_res)
##                    Df Sum Sq Mean Sq F value Pr(>F)    
## variable            4  4.772  1.1931  69.185 <2e-16 ***
## Condition           1  0.002  0.0025   0.145  0.705    
## variable:Condition  4  0.055  0.0137   0.794  0.533    
## Residuals          70  1.207  0.0172                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Right paws
R_res <- aov(value ~ variable * Condition, data = b)
summary(R_res)
##                    Df Sum Sq Mean Sq F value Pr(>F)    
## variable            4  5.075  1.2686  74.424 <2e-16 ***
## Condition           1  0.043  0.0433   2.540  0.116    
## variable:Condition  4  0.007  0.0019   0.109  0.979    
## Residuals          70  1.193  0.0170                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Despite the complete absence of TMT-induced freezing among metyrapone-treated mice, both CFA-primed and pain-naive mice exhibited significant bilateral mechanical hypersensitivity after TMT exposure (Left hindpaws: F4,70 = 69.18, p < 0.0001, Figure 4F; Right hindpaws: F4,70 = 74.42, p < 0.0001, Figure 4G).

VF Thresholds Relative to Baseline Measurements

# Left paws 
a %>%
  group_by(Condition) %>%
  pairwise_t_test(value ~ variable, p.adjust.method = "fdr")
## # A tibble: 20 × 10
##    Condition .y.   group1 group2    n1    n2        p p.signif    p.adj
##  * <fct>     <chr> <chr>  <chr>  <int> <int>    <dbl> <chr>       <dbl>
##  1 Naive     value BL_L   L_3hr      8     8 9.95e-11 ****     9.95e-10
##  2 Naive     value BL_L   L_24hr     8     8 9.29e- 8 ****     2.32e- 7
##  3 Naive     value L_3hr  L_24hr     8     8 2.3 e- 2 *        3.29e- 2
##  4 Naive     value BL_L   L_3D       8     8 5.07e- 2 ns       6.34e- 2
##  5 Naive     value L_3hr  L_3D       8     8 3.23e- 8 ****     1.08e- 7
##  6 Naive     value L_24hr L_3D       8     8 4.22e- 5 ****     7.03e- 5
##  7 Naive     value BL_L   L_7D       8     8 2.49e- 1 ns       2.77e- 1
##  8 Naive     value L_3hr  L_7D       8     8 2.68e- 9 ****     1.34e- 8
##  9 Naive     value L_24hr L_7D       8     8 3.22e- 6 ****     6.44e- 6
## 10 Naive     value L_3D   L_7D       8     8 4.01e- 1 ns       4.01e- 1
## 11 CFA       value BL_L   L_3hr      8     8 2.08e-11 ****     1.04e-10
## 12 CFA       value BL_L   L_24hr     8     8 4.62e- 7 ****     9.24e- 7
## 13 CFA       value L_3hr  L_24hr     8     8 1.32e- 3 **       1.89e- 3
## 14 CFA       value BL_L   L_3D       8     8 3.03e- 1 ns       3.37e- 1
## 15 CFA       value L_3hr  L_3D       8     8 3.61e-10 ****     1.20e- 9
## 16 CFA       value L_24hr L_3D       8     8 1.10e- 5 ****     1.84e- 5
## 17 CFA       value BL_L   L_7D       8     8 6.32e- 1 ns       6.32e- 1
## 18 CFA       value L_3hr  L_7D       8     8 5.83e-12 ****     5.83e-11
## 19 CFA       value L_24hr L_7D       8     8 1.08e- 7 ****     2.69e- 7
## 20 CFA       value L_3D   L_7D       8     8 1.35e- 1 ns       1.69e- 1
## # ℹ 1 more variable: p.adj.signif <chr>
# Right paws
b %>%
  group_by(Condition) %>%
  pairwise_t_test(value ~ variable, p.adjust.method = "fdr")
## # A tibble: 20 × 10
##    Condition .y.   group1 group2    n1    n2        p p.signif    p.adj
##  * <fct>     <chr> <chr>  <chr>  <int> <int>    <dbl> <chr>       <dbl>
##  1 Naive     value BL_R   R_3hr      8     8 2.06e-10 ****     1.03e- 9
##  2 Naive     value BL_R   R_24hr     8     8 3.28e- 7 ****     6.56e- 7
##  3 Naive     value R_3hr  R_24hr     8     8 1.59e- 2 *        2.28e- 2
##  4 Naive     value BL_R   R_3D       8     8 4.04e- 1 ns       4.48e- 1
##  5 Naive     value R_3hr  R_3D       8     8 2.24e- 9 ****     7.45e- 9
##  6 Naive     value R_24hr R_3D       8     8 4.27e- 6 ****     7.11e- 6
##  7 Naive     value BL_R   R_7D       8     8 8.78e- 1 ns       8.78e- 1
##  8 Naive     value R_3hr  R_7D       8     8 1.34e-10 ****     1.03e- 9
##  9 Naive     value R_24hr R_7D       8     8 2.06e- 7 ****     5.14e- 7
## 10 Naive     value R_3D   R_7D       8     8 3.24e- 1 ns       4.05e- 1
## 11 CFA       value BL_R   R_3hr      8     8 5.49e-12 ****     5.49e-11
## 12 CFA       value BL_R   R_24hr     8     8 6.60e- 8 ****     1.65e- 7
## 13 CFA       value R_3hr  R_24hr     8     8 1.94e- 3 **       2.78e- 3
## 14 CFA       value BL_R   R_3D       8     8 2.22e- 1 ns       2.78e- 1
## 15 CFA       value R_3hr  R_3D       8     8 1.53e-10 ****     5.09e-10
## 16 CFA       value R_24hr R_3D       8     8 2.82e- 6 ****     4.70e- 6
## 17 CFA       value BL_R   R_7D       8     8 6.49e- 1 ns       6.49e- 1
## 18 CFA       value R_3hr  R_7D       8     8 1.83e-11 ****     9.17e-11
## 19 CFA       value R_24hr R_7D       8     8 2.62e- 7 ****     5.25e- 7
## 20 CFA       value R_3D   R_7D       8     8 4.39e- 1 ns       4.87e- 1
## # ℹ 1 more variable: p.adj.signif <chr>

CFA-primed mice showed resolution of TMT-induced mechanical hypersensitivity within one week post-exposure (naive: both paws p > 0.27 relative to baseline measurements; CFA-primed: both paws p > 0.63), suggesting that the exaggerated hormonal stress response during TMT modulates the persistence of TMT-evoked mechanical hypersensitivity among mice with a history of CFA injury.