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Research ArticleResearch Article: New Research, Cognition and Behavior

Depletion of the Microbiome Alters the Recruitment of Neuronal Ensembles of Oxycodone Intoxication and Withdrawal

Sierra Simpson, Adam Kimbrough, Brent Boomhower, Rio McLellan, Marcella Hughes, Kokila Shankar, Giordano de Guglielmo and Olivier George
eNeuro 27 April 2020, 7 (3) ENEURO.0312-19.2020; https://doi.org/10.1523/ENEURO.0312-19.2020
Sierra Simpson
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
2Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037
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Adam Kimbrough
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
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Brent Boomhower
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
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Rio McLellan
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
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Marcella Hughes
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
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Kokila Shankar
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
2Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037
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Giordano de Guglielmo
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
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Olivier George
1Department of Psychiatry, University of California San Diego, La Jolla, CA 92093,
2Department of Neuroscience, The Scripps Research Institute, La Jolla, CA 92037
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  • Figure 1.
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    Figure 1.

    Experimental design. A, The rats were made dependent on oxycodone using a passive injection model. The OXY group was not depleted with antibiotics and sacrificed during the intoxication state. The OXY+ABX group was depleted with antibiotics and sacrificed during the intoxication state. The WD group was not depleted with antibiotics and was sacrificed during naloxone-precipitated withdrawal. The WD+ABX group was sacrificed during the withdrawal state but was depleted with antibiotics. Feces for 16s RNA sequencing were taken at baseline (i.e., before antibiotic or drug exposure). A secondary time point was taken following the experimental paradigm. B, Timeline for the behavioral tests to confirm the intoxication or withdrawal state (withdrawal scoring and von Frey test). C, For depletion of the microbiome, the rats were exposed to a cocktail of both Gram-negative and Gram-positive antibiotics in drinking water for two weeks before the initiation of dependence. D, Experimental groups, including both sexes.

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    Figure 2.

    Validation of precipitated withdrawal and intoxication in passively injected rats. A, B, The von Frey test was used to confirm that oxycodone withdrawal decreased pain thresholds and oxycodone intoxication increased pain thresholds. No significant difference in pain thresholds was found between the antibiotic-treated and untreated groups. Therefore, each state was pooled. Intoxicated animals exhibited higher pain thresholds compared with the saline and withdrawal groups. The withdrawal group exhibited lower pain thresholds compared with the saline group (***p < 0.001) and intoxication group (###p < 0.001). C, The total withdrawal score was calculated as the sum of all individual withdrawal scores. No difference in withdrawal scores was observed between antibiotic-depleted animals and untreated animals, so each state was pooled (D). The withdrawal animals exhibited higher withdrawal scores compared with intoxicated animals (p < 0.001).

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    Figure 3.

    Antibiotic depletion reduces α-diversity. A, Antibiotic depletion was measured using both the Shannon diversity index and Choa1 index. No difference in either index was found between groups for the initial baseline (BSL) time point. The final time point was taken following both antibiotic depletion and the final oxycodone exposure (posttreatment). In the posttreatment conditions, the OXY+ABX group exhibited a significant decrease in α diversity compared with both the SAL and OXY groups, indicated by the Shannon diversity index (p < 0.001) and Chao1 index (p < 0.008). B, A biplot of the PCoA by Bray–Curtis similarity clustering indicated that the SAL and OXY groups clustered together, whereas the antibiotic-treated animals clustered separately. C, Taxonomic plots that show the relative abundance of phyla across different groups at BSL and posttreatment. D, E, The OXY+ABX group exhibited a significant decrease in both Bacteroidetes (p < 0.003) and Firmicutes (p < 0.001) at the phylum level. Each animal is represented at both timepoints at the phylum level in the relative abundance plots. F, Caecal weights were measured at the time of killing. A significant increase in caecal weights was observed in antibiotic-treated rats (p < 0.001); *p < 0.05, **p < 0.002, ***p < 0.001, significant difference from saline; #p < 0.05, ##p < 0.002, ###p < 0.001 significant difference from OXY group.

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    Figure 4.

    Quantification of Fos+ neuronal ensembles during oxycodone intoxication and withdrawal. Ensembles that were recruited during both intoxication and withdrawal were quantified by counting Fos+ neurons that were active 90 min before killing. Saline, saline + naloxone group; OXY, oxycodone + saline; WD, oxycodone + naloxone. Coronal slices (40 μM) were stained for Fos and then visualized using DAB enhanced with nickel to obtain representative images. The representative regions are outlined with dashes; *p < 0.05, **p < 0.002, ***p < 0.001, significant difference from saline; #p < 0.05, ##p < 0.002, ###p < 0.001 significant difference from OXY group.

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    Figure 5.

    Quantification of Fos+ neuronal ensembles during oxycodone intoxication with antibiotic treatment. A, Differences in the number of Fos+ neurons were evaluated during oxycodone intoxication between antibiotic-treated and untreated rats. The regions that were altered during intoxication are shown in green (OXY) and green with black stripes (OXY+ABX). Coronal slices (40 μM) were stained for Fos and then visualized using DAB enhanced with nickel to obtain representative images. Representative regions are outlined with dashes. B, Example images of each region that was altered by antibiotic depletion; *p < 0.05, **p < 0.002, ***p < 0.001, significant difference from saline; #p < 0.05, ##p < 0.002, ###p < 0.001 significant difference from OXY group.

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    Figure 6.

    Quantification of Fos+ neuronal ensembles during oxycodone withdrawal with antibiotic treatment. A, Differences in the number of Fos+ neurons were evaluated during oxycodone withdrawal between antibiotic-treated and untreated rats. The regions that were altered during withdrawal are represented in purple (WD) and purple with black stripes (WD+ABX). B, Example images of each region that was altered by antibiotic depletion; *p < 0.05, **p < 0.002, ***p < 0.001, significant difference from saline; #p < 0.05, ##p < 0.002, ###p < 0.001 significant difference from non-depleted withdrawal group (WD).

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    Figure 7.

    Correlational analysis of recruited neuronal ensembles. Depletion of the microbiome altered the recruitment of neuronal ensembles during oxycodone intoxication and withdrawal. Correlational analysis of Fos+ cells was performed between anatomically connected structures. Connections with significant correlations (p < 0.05) are represented in green (positive) and red (negative). Nonsignificant correlations are shown in blue. The regions where recruited neurons significantly increased or decreased on antibiotic depletion are marked with blue arrows to indicate the direction of change.

Tables

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    Table 1

    Statistical table.

    FigureData structureType of testStatistical valuep value
    2A von Frey pooledTwo factors
    (group and time point)
    Two-way ANOVAF(2,44) = 41.0<0.001
    2B withdrawal score pooledOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,44) = 123.3<0.001
    2C von Frey treatmentOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(3,34) = 37.95<0.001
    2D withdrawal scoreOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(3,34) = 52.9<0.001
    3A Shannon baselineOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 2.7450.096
    3A Shannon post-treatmentOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 87.15<0.001
    3A Chao1 baselineOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 1.520.251
    3A Chao1 posttreatmentOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 6.873<0.008
    Bacteroidetes post-treatmentOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 8,844<0.003
    Firmicutes post-treatmentOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,15) = 27.43<0.001
    3F caecum weightOne factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(4,42) = 52.74<0.001
    4 (BLA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 22.3<0.001
    4 (PAG)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 16.9<0.001
    4 (LC)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 25.2<0.001
    4 (CeA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 73.97<0.001
    4 (PVT)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 23<0.001
    4 (AI)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 5.92<0.001
    4 (BNST)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 55.7<0.001
    4 (LHb)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 37.3<0.001
    5 (BLA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 18.8<0.001
    5 (PAG)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 32.6<0.001
    5 (LC)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 6.79<0.005
    5 (CeA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 5.13<0.014
    5 (PVT)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 1.18<0.325
    5 (AI)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 1.18<0.324
    5 (BNST)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 2.24<0.129
    5 (LHb)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,24) = 2.71<0.87
    6 (BLA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 2.45<0.106
    6 (PAG)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 17.6<0.001
    6 (LC)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 17.7<0.001
    6 (CeA)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 17.9<0.001
    6 (PVT)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 24.1<0.001
    6 (AI)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 3.87<0.034
    6 (BNST)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 21.6<0.001
    6 (LHb)One factor (treatment)One-way ANOVA
    Student–Newman–Keuls post hoc test
    F(2,26) = 38.1<0.001
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Depletion of the Microbiome Alters the Recruitment of Neuronal Ensembles of Oxycodone Intoxication and Withdrawal
Sierra Simpson, Adam Kimbrough, Brent Boomhower, Rio McLellan, Marcella Hughes, Kokila Shankar, Giordano de Guglielmo, Olivier George
eNeuro 27 April 2020, 7 (3) ENEURO.0312-19.2020; DOI: 10.1523/ENEURO.0312-19.2020

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Depletion of the Microbiome Alters the Recruitment of Neuronal Ensembles of Oxycodone Intoxication and Withdrawal
Sierra Simpson, Adam Kimbrough, Brent Boomhower, Rio McLellan, Marcella Hughes, Kokila Shankar, Giordano de Guglielmo, Olivier George
eNeuro 27 April 2020, 7 (3) ENEURO.0312-19.2020; DOI: 10.1523/ENEURO.0312-19.2020
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Keywords

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