| Literature DB >> 30205121 |
Mark Henry Pitcher1, Farid Tarum2, Michael Lehmann3, M Catherine Bushnell2.
Abstract
Urine from pro-œstrus female rodents evokes increased levels of sexually-motivated behaviors in males, including sniffing and scent marking of the urine spot as well as activation of brain reward regions. Stressors such as social defeat can adversely impact urine scent marking behavior in male rodents, an effect that can be mitigated with anti-depressant drugs. Persistent pain is also known to be a potent stressor, producing elevated levels of plasma corticosterone as well as reduced sucrose preference and reduced social interaction. However, the effect of persistent pain on sexually-motivated behavior is unknown. Here, we compared urine scent marking behavior in male rats for up to 3 weeks following intra-articular injection of Complete Freund's Adjuvant (CFA) or sham injection. CFA-injected rats exhibited profound and ongoing deficits in static weight bearing capacity. CFA-induced persistent inflammatory pain increased plasma corticosterone levels and reduced urine scent marking behavior in male rats. Moreover, while the vast majority of injured rats showed decreased urine scent marking preference for the pro-œstrus female urine spot, male rats with higher baseline scent marking preference also exhibited higher post-injury scent marking preference, more sniffing behavior and lower levels of plasma corticosterone, compared to those with lower baseline scent marking preference. Overall, scent marking behavior may be an ethologically relevant behavioral predictor of persistent pain-induced stress in rats, representing a novel translational approach to understanding chronic pain comorbidities. Published by Elsevier B.V.Entities:
Keywords: Inflammation; Pain; Rat; Sexual; Stress
Mesh:
Year: 2018 PMID: 30205121 PMCID: PMC7485009 DOI: 10.1016/j.bbr.2018.09.001
Source DB: PubMed Journal: Behav Brain Res ISSN: 0166-4328 Impact factor: 3.332
Fig. 1.Experimental time line and methodology. (A) Experimental time line. (B) Rats spent 10 min in an arena with an absorbent paper floor and a spot of urine harvested from pro-œstrus female rats. Behavior was recorded from above. (C) Representative image of urine scent marking, with equation to calculate preference scores for the female urine zone (i.e. marking and time preference).
Description of statistical analysis and results.
| Figure | Panel | Title | Statistic | Result |
|---|---|---|---|---|
|
| A | Weight bearing (Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 33.14, p < 0.0001****; Time – F(3,72) = 36.07, p < 0.0001****; Group–F(1,24) = 97.95, p = 0.0001*** |
| B | Plasma corticosterone (Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(1,23) = 5.537, p = 0.028*; Time – F(1,23) = 0.110, p = 0.744; Group– F(1,23) = 1.872, p = 0.184 | |
| C | Change in plasma corticosterone | χ2 | χ2(1) = 11.4, p = 0.0007*** | |
|
| A | Marking preference (Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 2.764, p = 0.048*; Time – F(3,72) = 1.657, p = 0.184; Group– F(1,24) = 0.144, p = 0.708 |
| B | Change in marking preference | χ2 | χ2(1) = 3.869, p = 0.025* | |
| C | CFA– marking preference (inter-individual variability) | No analysis | No analysis | |
| D | Sham – marking preference (inter-individual variability) | No analysis | No analysis | |
| E | Marking area in zone and arena (Sham and CFA) | No analysis | No analysis | |
|
| A | Ankle width (mm; Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 36.58, p < 0.0001****; Time – F(3,72) = 21.56, p < 0.0001****; Group–F(1,24) = 33.32, p < 0.0001**** |
| B | Mass (g; Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 22.85, p < 0.0001****; Time – F(3,72) = 295.5, p < 0.0001****; Group–F(1,24) = 7.36, p < 0.012* | |
| C | Marking area (cm2; Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 0.061, p = 0.980; Time – F(3,72) = 2.777, p = 0.047*; Group– F(1,24) = 0.109, p = 0.744 | |
| D | Sniffing urine spot (s; Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 0.159, p = 0.924; Time – F(3,72) = 0.373, p = 0.773; Group– F(1,24) = 0.329, p = 0.572 | |
| E | Time preference (Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 0.148, p = 0.930; Time – F(3,72) = 1.804, p = 0.154; Group– F(1,24) = 0.000, p = 0.985 | |
| F | Total distance (cm; Sham vs. CFA) | Two-way mixed design ANOVA | Interaction – F(3,72) = 0.1.883, p = 0.140; Time – F(3,72) = 15.11, p < 0.0001****; Group– F(1,24) = 0.641, p = 0.431 | |
|
| A | Week 3 weight bearing vs. baseline marking preference | Pearson correlation | CFA: r=−0.235; p = 0.418; Sham: r = 0.107: p = 0.742 |
| B | Week 3 corticosterone vs. week 3 ankle width | Pearson correlation | CFA: r=−0.468; p = 0.091; Sham: r = 0.177: p = 0.603 | |
| C | Week 3 corticosterone vs. week 3 marking preference | Pearson correlation | CFA: r=−0.315; p = 0.273; Sham: r=−0.029: p = 0.933 | |
| D | Week 3 corticosterone vs. baseline marking preference | Pearson correlation | CFA: r=−0.580; p = 0.030*; Sham: r=−0.234: p = 0.750 | |
| E | Low/high baseline marking preference |
|
| |
| F | Low/high baseline marking preference (ankle width) | Two-way mixed design ANOVA | Interaction – F(1,12) = 3.143, p = 0.102; Time – F(1,12) = 39.1, p < 0.0001****; Group– F(1,12) = 1.086, p = 0.318 | |
| G | Low/high baseline marking preference (mass) | Two-way mixed design ANOVA | Interaction – F(1,12) = 0.158, p = 0.698; Time – F(1,12) = 195.2, p < 0.0001****; Group– F(1,12) = 2.0, p = 0.183 | |
| H | Low/high baseline marking preference (weight bearing) | Two-way mixed design ANOVA | Interaction – F(1,12) = 0.759, p = 0.401; Time – F(1,12) = 37.97, p < 0.0001****; Group– F(1,12) = 273, p = 0.495 | |
| I | Low/high baseline marking preference (total distance) | Two-way mixed design ANOVA | Interaction – F(1,12) = 030, p = 0.865; Time – F(1,12) = 7.139, p = 0.020*; Group– F(1,12) = 0.022, p = 0.886 | |
| J | Low/high baseline marking preference (total marking area)) | Two-way mixed design ANOVA | Interaction – F(1,12) = 0.175, p = 0.683; Time – F(1,12) = 1.2, p = 0.295; Group– F(1,12) = 0.759, p = 0.401 | |
| K | Low/high baseline marking preference (time preference) | Two-way mixed design ANOVA | Interaction – F(1,12) = 0.440, p = 0.520; Time – F(1,12) = 1.285, p = 0.279; Group– F(1,12) = 1.8839, p = 0.195 | |
| L | Low/high baseline marking preference (marking preference) | Two-way mixed design ANOVA | Interaction – F(1,12) = 0.523, p = 0.483; Time – F(1,12) = 14.76, p = 0.0023**; Group– F(1,12) = 17.78, p = 0.0012** | |
| M | Low/high baseline marking preference (sniffing) | Two-way mixed design ANOVA | Interaction – F(1,12) = 1.884, p = 0.195; Time – F(1,12) = 0.004, p = 0.953; Group– F(1,12) = 10.13, p = 0.0079** | |
| N | Low/high baseline marking preference (corticosterone) | Two-way mixed design ANOVA | Interaction – F(1,12) = 1.58, p = 0.233; Time – F(1,12) = 4.257, p = 0.061; Group– F(1,12) = 1.977, p = 0.185 | |
| Results section; correlations (no figure) | Baseline marking preference vs. week 3 total marking area | Pearson correlation | CFA: r = 0.231; p = 0.428; Sham: r = 0.125: p = 0.698 | |
| Baseline marking preference vs. week 3 distance | Pearson correlation | CFA: r = 0.220; p = 0.451; Sham: r=−0.076: p = 0.815 | ||
| Baseline marking preference vs. week 3 marking preference | Pearson correlation | CFA: r = 0.338; p = 0.237; Sham: r = 0.100: p = 0.756 | ||
| Baseline marking preference vs. week 3 sniffing | Pearson correlation | CFA: r = 0.272; p = 0.348; Sham: r=−0.284: p = 0.371 | ||
| Baseline marking preference vs. week 3 time preference | Pearson correlation | CFA: r = 0.210; p = 0.471; Sham: r = 0.021: p = 0.949 | ||
| Week 3 weight bearing vs. week 3 marking preference | Pearson correlation | CFA: r=−0.044; p = 0.882; Sham: r = 0.031: p = 0.924 | ||
| Week 3 weight bearing vs. week 3 corticosterone | Pearson correlation | CFA: r=−0.075; p = 0.799; Sham: r = 0.208: p = 0.540 | ||
Fig. 2.CFA-induced persistent inflammation produced ongoing hypersensitivity and stress. Compared to rats with sham injections, rats with CFA exhibited prolonged static weight bearing deficits (A) as well as increased plasma corticosterone levels (B). Chi square analysis indicated that corticosterone levels tended to decrease in shams and increase in CFA-injected rats (C). Two-way mixed design ANOVA (A, B) or Chi square analysis (C); p < 0.05 considered significant in all cases (Sham n = 12; CFA n = 14). Stars (*) represent a significant comparison between CFA and sham groups. ** p < 0.01; *** p < 0.001; **** p < 0.0001. Daggers (†) represent a significant comparison between the time points indicated. †† p < 0.01; ns = not significant.
Fig. 3.CFA-induced persistent inflammation reduced scent marking preference for the female urine spot. Urine scent marking preference for the female urine spot was reduced at 3 weeks post-CFA (A). Chi square analysis indicated that a greater proportion of the CFA group exhibited decreased marking preference compared to shams (B). Individual differences in baseline and post-injury marking preference in the CFA group (C) and the sham group (D). Note that approximately 29% of the CFA group exhibited active avoidance for scent marking in the female urine zone (C). Raw data for urine scent marking in the female urine zone and the remaining arena (E). Two-way mixed design ANOVA (A) or Chi square analysis (B); p < 0.05 considered significant in all cases (Sham n = 12; CFA n = 14). Stars (*) represent a significant comparison between CFA and sham groups. * p < 0.05. Daggers (†) represent a significant comparison between the time points indicated. † p < 0.05.
Fig. 4.At the group level, CFA-induced persistent inflammation increased ipsilateral ankle width (A), slower weight gain (B) and differences in distance covered (C), but did not alter overall marking area (D), time preference for the female urine zone (E) or sniffing of the female urine spot (F). Two-way mixed design ANOVA. Stars (*) represent a significant comparison between CFA and sham groups. * p < 0.05; ** p < 0.01; **** p < 0.0001. Daggers (†) represent a significant comparison between the time points indicated. † p < 0.05; †† p < 0.01; ††††p < 0.0001.
Fig. 5.Baseline marking preference predicts post-injury stress, marking preference and sniffing behavior. Baseline marking preference scores are not correlated with week 3 wt bearing capacity in the CFA group (A). Week-3 corticosterone levels are not significantly correlated with ankle width at the three week time point (B). While week 3 corticosterone levels are not correlated with week 3 marking preference (C), they are significantly correlated with baseline marking preference (D). The mean baseline marking preference defined low versus high baseline marking groups (E). Based on this approach, n = 6 CFA-injected rats had low baseline marking (red squares) whereas n = 8 had high baseline marking (blue squares). CFA-injected rats with high baseline urine scent marking preference were no different from those with low baseline urine scent marking preference in terms of ankle width (F), body mass (G), weight bearing capacity (H), total distance (I), total marking area (J) and time preference (K). However, CFA-injected rats with high urine scent marking preference exhibited greater marking preference for the female urine zone (L), greater sniffing behavior of the female urine spot (M) and lower levels of plasma corticosterone (N) at 3 weeks post-injury. Pearson correlations were used in panel A–D. Two-way mixed design ANOVA’s were used in panels F–N. In panels F–N, stars (*) represent a significant comparison between high and low baseline marking groups at the time point indicated. * p < 0.05; ** p < 0.01; *** p < 0.001. Daggers (†) represent a significant comparison between the time points indicated. † p < 0.05; †† p < 0.01; †††p < 0.001; ††††p < 0.0001 (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article).