Abstract
Background
In our companion article, we examined the role of MyD88-dependent signaling in ethanol consumption in mice lacking key components of this inflammatory pathway and observed differential effects on drinking. Here we studied the role of these same signaling components in the acute sedative, intoxicating, and physiological effects of ethanol. TLR4 has been reported to strongly reduce the duration of ethanol-induced sedation, though most studies do not support its direct involvement in ethanol consumption. We examined TLR4 and other MyD88 pathway molecules to determine signaling specificity in acute ethanol-related behaviors. We also studied other GABAergic sedatives to gauge the ethanol specificity and potential role for GABA in ethanol’s sedative and intoxicating effects in the mutant mice.
Methods
Loss of righting reflex (LORR) and recovery from motor incoordination were studied following acute injection of ethanol or other sedative drugs in male and female control C57BL/6J mice vs. mice lacking CD14, TLR2, TLR4 (C57BL/10ScN), or MyD88. We also examined ethanol-induced hypothermia and blood ethanol clearance in these mice.
Results
Male and female mice lacking TLR4 or MyD88 showed reduced duration of ethanol-induced LORR and faster recovery from ethanol-induced motor incoordination. MyD88 KO mice had slightly faster recovery from ethanol-induced hypothermia compared to control mice. None of the mutants differed from control mice in the rate of blood ethanol clearance. There were no genotype differences in the duration of gaboxadol-induced LORR, and only mice lacking TLR4 were less sensitive to the sedative effects of pentobarbital. Faster recovery from diazepam-induced motor incoordination was observed in CD14, TLR4, and MyD88 null mice of both sexes.
Conclusions
TLR4 and MyD88 were key mediators of the sedative and intoxicating effects of ethanol and GABAergic sedatives, indicating a strong influence of TLR4-MyD88 signaling on GABAergic function. Despite the involvement of TLR4 in ethanol’s acute behaviors, it did not regulate ethanol consumption in any drinking model as shown in our companion article. Collectively, our studies demonstrate differential effects of TLR-MyD88 components in the acute vs. chronic actions of ethanol.
Keywords: loss of righting reflex and motor incoordination, TLR4 deficient (C57BL/10ScN) mice, TLR2 KO, CD14 KO, MyD88 KO
Introduction
Alcohol consumption in animal models of excessive drinking and human alcoholics has been linked with increased innate immune signaling (Blednov et al., 2011; Crews and Vetreno, 2016). Although deletion of certain immune-related genes reduces ethanol consumption (Mayfield et al., 2013, 2016; Robinson et al., 2014), the specificity of ethanol’s interaction with individual inflammatory mediators is not known. Most studies have focused on either the toxic, neurodegenerative effects of persistent activation of immune pathways by chronic ethanol or the effects of inhibiting these pathways on ethanol consumption. Few studies have compared the effects of acute alcohol on other behaviors or physiological actions following manipulation of different immune signaling components.
Our companion paper (Blednov et al., submitted) provides novel evidence that deletion of specific components of the MyD88-dependent pathway can produce opposite actions on ethanol intake by decreasing (e.g., TLR2 or CD14 KO mice) or increasing (MyD88 KO mice) drinking. Deletion of TLR4 had no effect on drinking as previously reported in knockout mice (Alfonso-Loeches et al., 2010; Pascual et al., 2011). Based on these differential actions, we further examined the effects of these same signaling components on acute ethanol-related behaviors.
Previous studies showed that the duration of ethanol-induced loss of righting reflex (LORR) was decreased in mice lacking TLR2, TLR4, or MyD88 (Corrigan et al., 2015; Harris et al., in press; Wu et al., 2012). We hypothesized that MyD88 pathway components are also involved in other behaviors and compared the effects of ethanol and other sedatives (gabadoxol, pentobarbital, and diazepam) on the duration of LORR and recovery from acute motor incoordination in mice lacking CD14, TLR2, TLR4, or MyD88. Considering the well known actions of ethanol on GABAergic function and the evidence that acute ethanol potentiates GABAergic synaptic transmission via CD14/TLR4 signaling in mouse neurons (Bajo et al., 2014), other GABAergic sedatives were tested to determine the ethanol-specificity and the role for GABA-mediated signaling in the sedative and intoxicating effects. In addition, we examined potential genotype differences in ethanol-induced hypothermia and blood ethanol clearance because these physiological factors can affect the behavioral phenotypes.
Materials and Methods
Mice
Generation of Cd14 (B6.129S4-Cd14tm1Frm/J, stock #003726), Tlr2 (B6.129-Tlr2tm1Kir/J, stock #004650), and Myd88 (B6.129P2(SJL)-Myd88tm1.1Defr/J, stock #009088) knockout (KO) mice were described previously (Moore et al., 2000; Wooten et al., 2002; Hou et al., 2008). The C57BL/10ScN mouse was used as a TLR4 deficient model (B6.B10ScN-Tlr4lps-del/JthJ, stock #007227). This strain is homozygous for a deletion allele Tlr4lps-del that causes spontaneous deletion of TLR4, resulting in absence of TLR4 mRNA and protein. All mutant strains were purchased from Jackson Laboratories and were backcrossed on a C57BL/6J genetic background more than 6 generations, and thus the C57BL/6J inbred strain is an appropriate control for these studies (https://www.jax.org/jax-mice-and-services/customer-support/technical-support/breeding-and-husbandry-support/considerations-for-choosing-controls). C57BL/6J mice were taken from a colony maintained at The University of Texas at Austin (original breeders were purchased from Jackson Laboratories, Bar Harbor, ME). Mice were group-housed 4 to 5 to a cage based on genotype and sex. The humidity and temperature of the rooms were kept constant and they were maintained a 12/12 hour light/dark cycle with lights on at 7 AM. Food and water were available ad libitum. Behavioral testing began when the mice were at least 2 months old, and mice were weighed every 4–6 days. All experiments were conducted in isolated behavioral testing rooms in the Animal Resource Center at UT Austin with a reversed light/dark cycle to avoid external distractions. Before beginning experiments, mice were moved to their experimental room and remained there for 1–2 weeks to adapt to the new light/dark cycle. All experiments were approved by the university’s Institutional Animal Care and Use Committee.
Drugs
Injectable ethanol (Aaper Alcohol and Chemical, Shelbyville, KY) solutions were prepared in 0.9% saline (20%, v/v). Gaboxadol (Sigma-Aldrich, St. Louis, MO), diazepam (Sigma-Aldrich), and pentobarbital (Sigma-Aldrich RBI, Natick, MA) were dissolved in 0.9% saline. All drugs were injected intraperitoneally (i.p.) at 0.01 ml/g of body weight.
Loss of Righting Reflex (LORR)
Sensitivity to the depressant effects of ethanol (3.6 g/kg, i.p.), gaboxadol (55 mg/kg, i.p.), and pentobarbital (50 mg/kg, i.p.) were determined using the LORR (sleep time) assay in mice. These drug doses were based on previous studies (Blednov et al., 2013, 2014; Boehm et al., 2004). When mice became ataxic, they were placed in the supine position in V-shaped plastic troughs until they were able to right themselves three times within 30 s. Sleep time was defined as the time from being placed in the supine position until they regained their righting reflex.
Rotarod
Mice were trained on a fixed speed rotarod (Economex; Columbus Instruments, Columbus, OH) at 5 rpm, and training was considered complete when mice were able to remain on the rotarod for 60 s. Every 15 minutes after injection of ethanol (2 g/kg i.p.) or diazepam (5 mg/kg i.p.), mice were placed back on the rotarod and latency to fall was measured until mice were able to remain on the rotarod for 60 s.
Hypothermia
Mice were separated into individually ventilated hypothermia chambers to acclimate for 60 min. Mice were then removed from the chambers to record baseline temperatures with a glycerol-lubricated probe (1.2 mm ball × 2cm length; Sensortek Thermalert TH-8) that was inserted into the rectum for 5 s. Immediately following baseline recording, each mouse was injected with ethanol (3.6 g/kg, i.p.) and placed back in its chamber. Rectal temperatures were monitored over 5 h with measurements taken every 30 min following ethanol injection.
Ethanol clearance
Animals were injected with a single dose of ethanol (4 g/kg, i.p.), and blood samples were taken from the retro-orbital sinus 30, 60, 120, 180, and 240 min after injection. Samples (~20 μl) were collected in capillary tubes and centrifuged for 6 min at 3100g using a Haematospin 1400 centrifuge (Analox Instruments, London, UK). The plasma samples were stored at −20°C until BECs were determined in 5-μl aliquots using an AM1 Alcohol Analyzer (Analox Instruments). The machine was calibrated every 15 samples using an industry standard, and BECs were determined using commercially available reagents according to the manufacturer’s instructions. Samples were averaged from duplicate runs and expressed as mg/dl.
Statistical Analysis
Data are reported as the mean ± S.E.M. The statistics software program GraphPad Prism (GraphPad Software, Inc., La Jolla, CA) was used to perform one or two-way ANOVAs, Student’s t-tests, and Bonferroni or Dunnett’s post hoc analyses. Data from male and female mice were analyzed separately.
Results
Loss of righting reflex
The duration of LORR was measured following the injection of ethanol, gaboxadol, or pentobarbital in mice lacking CD14, TLR2, TLR4, or MyD88 vs. control mice. For ethanol (3.6 g/kg), there was a shorter duration of LORR in TLR4 and MyD88 deficient mice of both sexes (Fig. 1A,D). All male and female mutant mice had shorter duration of LORR after injection of gaboxadol (55 mg/kg) (Fig. 1B,E). Male and female mice lacking TLR4 had reduced duration of pentobarbital (50 mg/kg)-induced LORR, but no other genotype differences were found (Fig. 1C,F).
Figure 1. Duration of LORR induced by sedative drugs in mice lacking CD14, TLR2, TLR4, or MyD88.
Effect of ethanol (3.6 g/kg, i.p.) injection in male mice (A) C57BL/6J, n= 34; CD14 and TLR2 KO, n= 16; B6.B10ScN, n= 11; MyD88 KO, n= 6 and female mice (D) C57BL/6J, n= 26; CD14 KO, n= 13; TLR2 KO, n= 15; B6.B10ScN, n= 14; MyD88 KO, n= 5. Effect of gaboxadol (55 mg/kg) injection in male mice (B) C57BL/6J, n= 11; CD14 KO, n= 10, TLR2 KO, n= 12; B6.B10ScN, n= 11; MyD88 KO, n= 17 and female mice (E) C57BL/6J, n= 11; CD14 KO, n= 10; TLR2 KO, n= 11; B6.B10ScN, n= 16; MyD88 KO, n= 13. Effect of pentobarbital (50 mg/kg) injection in male mice (C) C57BL/6J, n= 11; CD14 KO, n= 9, TLR2 KO, n= 12; B6.B10ScN, n= 11; MyD88 KO, n= 15 and female mice (F) C57BL/6J, n= 13; CD14 KO, n= 11; TLR2 KO, n= 14; B6.B10ScN, n= 18; MyD88 KO, n= 15. Values represent mean ± S.E.M. Data were analyzed by one-way ANOVA followed by Dunnett’s post hoc tests for multiple comparisons (***P < 0.001 compared to control). EtOH = ethanol; LORR = loss of righting reflex.
Motor incoordination
Acute administration of ethanol (2 g/kg) produced motor incoordination in all genotypes. No differences in the recovery from ethanol-induced motor incoordination were found in CD14 KO and TLR2 KO male mice vs. control mice (Fig. 2A,B), while TLR4 and MyD88 mutant males recovered faster than controls (Fig. 2C,D). Similar to male mice, no differences in the recovery from ethanol-induced motor incoordination were found in CD14 KO and TLR2 KO female mice vs. controls (Fig. 3A,B), while TLR4 and MyD88 mutant females recovered from ethanol-induced motor incoordination faster than control mice (Fig. 3C,D).
Figure 2. Recovery from ethanol-induced motor incoordination in male mice lacking CD14, TLR2, TLR4, or MyD88.
Data represent time (s) on the rotarod after injection of ethanol (2 g/kg, i.p.). The same group of control mice is represented in A–D (C57BL/6J mice, n= 14). (A) CD14 KO mice, n= 6 [F(1,18) = 0.04, P > 0.05, effect of genotype; F(9,162)= 184, P < 0.001, effect of time; F(9,162) = 0.3, P > 0.05, genotype × time interaction]. (B) TLR2 KO mice, n= 6 [F(1,18) = 0.22, P > 0.05, effect of genotype; F(9,162) = 168, P < 0.001, effect of time; F(9,162) = 0.4, P > 0.05, genotype × time interaction]. (C) B6.B10ScN mice, n= 10 [F(1,22) = 37.4, P < 0.001, effect of genotype; F(9,198) = 206, P < 0.001, effect of time; F(9,198) = 12.3, P < 0.001, genotype × time interaction]. (D) MyD88 KO mice, n= 8 [F(1,20) = 52.2, P < 0.001, effect of genotype; F(9,180) = 229, P < 0.001, effect of time; F(9,180) = 17.6, P < 0.001, genotype × time interaction]. Values represent mean ± S.E.M. Data were analyzed by repeated measures two-way ANOVA and Bonferroni post hoc tests (**P < 0.01, ***P < 0.001 compared to control).
Figure 3. Recovery from ethanol-induced motor incoordination in female mice lacking CD14, TLR2, TLR4, or MyD88.
Data represent time (s) on the rotarod after injection of ethanol (2 g/kg, i.p.). The same group of control mice is represented in A–D (C57BL/6J mice, n= 26). (A) CD14 KO mice, n= 6 [F(1,30) = 0.01, P > 0.05, effect of genotype; F(8, 240) = 95.6, P < 0.001, effect of time; F(8,240) = 0.2, P > 0.05, genotype × time interaction]. (B) TLR2 KO mice, n= 8 [F(1,32) = 2.8, P > 0.05, effect of genotype; F(8,256) = 127, P < 0.001, effect of time; F(8,256) = 1.15, P > 0.05, genotype × time interaction). (C) B6.B10ScN mice, n= 12 [F(1,36) = 18.5, P < 0.001, effect of genotype; F(8,288) = 129, P < 0.001, effect of time; F(8,288) = 5.8, P < 0.001, genotype × time interaction]. (D) MyD88 KO mice, n= 6 [F(1,30) = 66.9, P < 0.001, effect of genotype; F(8,240) = 69.9, P < 0.001, effect of time; F(8,240) = 15.8, P < 0.001, genotype × time interaction]. Values represent mean ± S.E.M. Data were analyzed by repeated measures two-way ANOVA and Bonferroni post hoc tests (**P < 0.01, ***P < 0.001 compared to control).
Acute administration of diazepam (5 mg/kg) produced motor incoordination in all genotypes. CD14, TLR4, and MyD88 mutant male mice recovered faster than control mice (Fig. 4). No differences in the recovery from diazepam-induced motor incoordination were found between male TLR2 KO and control mice (Fig. 4B). Although male MyD88 KO mice recovered faster than controls (Fig. 4D), this may be due to the impaired ability of diazepam to initially induce motor incoordination in the KO mice (see 15 min time point). Female mice of all genotypes showed greater impairment in motor incoordination after acute administration of diazepam. Similar to males, CD14 and MyD88 KO female mice recovered from diazepam-induced motor incoordination faster than control mice (Fig. 5A,D). Although the recovery in female mice lacking TLR4 was not significantly different from control mice, there was a significant genotype × time interaction effect (Fig. 5C). As observed in male mice, no differences in the recovery from diazepam-induced motor incoordination were found between female TLR2 KO and control mice (Fig. 5B).
Figure 4. Recovery from diazepam-induced motor incoordination in male mice lacking CD14, TLR2, TLR4, or MyD88.
Data represent time (s) on the rotarod after injection of diazepam (5 mg/kg, i.p.). The same group of control mice is represented in A–D (C57BL/6J mice, n= 13). (A) CD14 KO mice, n= 12 [F(1,23) = 33, P < 0.001, effect of genotype; F(6,138) = 206, P < 0.001, effect of time; F(6,138) = 16.6, P < 0.001, genotype × time interaction]. (B) TLR2 KO mice, n= 10 [F(1,21) = 2.2, P > 0.05, effect of genotype; F(6,126) = 217, P < 0.001, effect of time; F(6,126) = 2.3, P < 0.05, genotype × time interaction]. (C) B6.B10ScN mice, n= 13 [F(1,24) = 17.6, P < 0.001, effect of genotype; F(6,144) = 249, P < 0.001, effect of time; F(6,144) = 8.3, P < 0.001, genotype × time interaction]. (D) MyD88 KO mice, n= 9 [F(1,20) = 80.8, P < 0.001, effect of genotype; F(6,120) = 71.4, P < 0.001, effect of time; F(6,120) = 24, P < 0.001, genotype × time interaction]. Values represent mean ± S.E.M. Data were analyzed by repeated measures two-way ANOVA with Bonferroni post hoc tests (***P < 0.001 compared to control).
Figure 5. Recovery from diazepam-induced motor incoordination in female mice lacking CD14, TLR2, TLR4, or MyD88.
Data represent time (s) on the rotarod after injection of diazepam (5 mg/kg, i.p.). The same group of control mice is represented in A–D (C57BL/6J mice, n= 11). (A) CD14 KO mice, n= 9 [F(1,18) =5.7, P < 0.05, effect of genotype; F(7,126) = 112, P < 0.001, effect of time; F(7,126) = 3.0, P < 0.01, genotype × time interaction]. (B) TLR2 KO mice, n= 10 [F(1,19) = 1.2, P > 0.05, effect of genotype; F(7,133) = 134, P < 0.001, effect of time; F(7,133) = 0.7, P > 0.05, genotype × time interaction]. (C) B6.B10ScN mice, n= 10 [F(1,19) = 3.8, P > 0.05, effect of genotype; F(7,133) = 154, P < 0.001, effect of time; F(7,133) = 2.8, P < 0.05, genotype × time interaction]. (D) MyD88 KO mice, n= 8 [F(1,17) = 9.8, P < 0.01, effect of genotype; F(7,119) = 90.1, P < 0.001, effect of time; F(7,119) = 4.1, P < 0.001, genotype × time interaction]. Values represent mean ± S.E.M. Data were analyzed by repeated measures two-way ANOVA and Bonferroni post hoc tests (*P < 0.05, **P < 0.01, ***P < 0.001 compared to control).
Hypothermia
The acute hypothermic responses to ethanol (3.6 g/kg, injected at time 0) in male and female control and mutant mice are shown in Table 1. Maximum reduction in body temperature occurred 60–120 min after injection of ethanol followed by a gradual recovery period over the next 5–6 h. No genotype differences in ethanol-induced hypothermic responses were found in male and female mice lacking CD14, TLR2, or TLR4 compared to control mice. Male and female mice lacking MyD88 recovered from ethanol-induced hypothermia slightly faster than control mice [effect of genotype in males and females, respectively: F(1,10) = 6.8 and F(1,13) = 4.9; P < 0.05; two-way ANOVA]. This would not account for the reduced ethanol-induced sedation given that these mice regain righting reflex within 60 min, and no differences in hypothermia are observed during this time period. Also, the genotype effect in MyD88 KO female mice is likely due to initial differences in body temperature. For example, female mice lacking MyD88 or TLR2 had significantly increased core body temperature measured at time 0 compared to control mice (Table 1). A similar trend was observed in female mice lacking TLR4 but the genotype effect was not significant. Comparison of body temperature (time 0) using Student’s t-tests showed that all three mutant strains were different from female control mice (P < 0.05 for TLR4 mutant; P < 0.01 for TLR2 and MyD88 mutants). The last column of Table 1 depicts the slopes of the curves during recovery from ethanol-induced hypothermia (measured from 60 to 360 min) in control and mutant mice; however, one-way ANOVA revealed no significant genotype effects on slope in male or female mice.
Table 1.
Recovery from ethanol-induced hypothermia in male and female control and mutant mice
| Time (min) | 1/Slope | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sex | Controls/Mutants | 0 | 60 | 120 | 180 | 240 | 300 | 360 | |
| Males | C57BL/6J n=6 |
37.4±0.1 | 34.5±0.26 | 34.1±0.4 | 34.7±0.41 | 34.5±0.62 | 35.7±0.32 | 36.0±0.29 | 228.4±66.7 |
| CD14 n=6 |
37.3±0.1 | 34.4±0.26 | 34.6±0.26 | 34.9±0.23 | 35.6±0.23 | 36.2±0.28 | 36.5±0.37 | 147.9±29.1 | |
| TLR2 n=6 |
37.3±0.38 | 34.9±0.26 | 34.4±0.34 | 35.2±0.31 | 35.8±0.24 | 36.2±0.13 | 36.4±0.16 | 169.6±24.9 | |
| TLR4 n=6 |
37.7±0.1 | 34.8±0.12 | 34.5±0.3 | 35.3±0.19 | 35.6±0.2 | 36.0±0.32 | 36.3±0.3 | 209.6±54.2 | |
| MyD88 n=6 |
37.9±0.14 | 34.9±0.41 | 34.9±0.33 | 35.2±0.4 | 35.9±0.15* | 36.7±0.18 | 37.3±0.24* | 155.3±36.5 | |
| Females | C57BL/6J n=7 |
37.2±0.3 | 34.9±0.22 | 35.4±0.17 | 36.0±0.21 | 36.6±0.13 | 36.8±0.14 | 36.9±0.07 | 149.6±14.1 |
| CD14 n=7 |
37.5±0.38 | 34.5±0.30 | 34.9±0.13 | 35.8±0.11 | 37.0±0.13 | 37.3±0.19 | 37.4±0.13 | 102.5±11.8 | |
| TLR2 n=7 |
38.3±0.05** | 34.5±0.33 | 34.7±0.19 | 35.5±0.21 | 36.4±0.24 | 37.2±0.25 | 37.4±0.08 | 96.4±7.6 | |
| TLR4 n=7 |
37.9±0.13 | 34.3±0.28 | 35.5±0.17 | 35.9±0.19 | 36.4±0.18 | 37.1±0.20 | 37.4±0.17 | 112.7±16.6 | |
| MyD88 n=8 |
38.4±0.17*** | 35.2±0.22 | 35.1±0.15 | 36.0±0.24 | 36.5±0.26 | 37.4±0.22 | 37.6±0.14 | 114.8±10.9 | |
Data represent the mean body temperature ± S.E.M. (°C) before (time 0) and after injection of ethanol (3.6 g/kg, i.p.), measured every 30 min over 360 min. Data were analyzed by two-way ANOVA. There was a significant effect of genotype in male and female MyD88 KO mice (P < 0.05) and significant genotype × time interaction effects in female TLR2, TLR4, and MyD88 mutant mice (P < 0.001). Post hoc comparisons are indicated as follows:
P < 0.05;
P < 0.01; and
P < 0.001 compared to the control (C57BL/6J) time point of the corresponding sex. Data in the last column represent the mean slope (expressed as 1/slope) of the curves ± S.E.M during recovery from ethanol-induced hypothermia (from 60 to 360 min); one-way ANOVA revealed no significant genotype effects on slope in male or female mice.
Ethanol clearance
BECs were measured 30, 60, 120, 180, and 240 min after injection of ethanol (4 g/kg). There were no differences in the rates of clearance of blood ethanol in male and female control and mutant mice and no differences in slopes (Fig. 6).
Figure 6. Clearance of blood ethanol in mice lacking CD14, TLR2, TLR4, or MyD88.
Data represent the clearance of blood ethanol over 4 h in (A) male and (B) female mice after injection of ethanol (4 g/kg, i.p.). Control C57BL/6J mice (n= 8 males; n= 14 females); CD14 KO (n= 4 males; n= 9 females); TLR2 KO (n= 4 males; n= 9 females); B6.B10ScN (n= 11 males and females); and MyD88 KO mice (n= 7 females). Values represent mean ± S.E.M. Data were analyzed by one-way ANOVA. BEC, blood ethanol concentration.
Discussion
Our companion paper provides novel evidence that deletion of individual signaling components of the MyD88 pathway has selective effects on ethanol consumption (Blednov et al., submitted). MyD88 signaling is also implicated in the acute sedative and intoxicating effects of ethanol as shown in the current study. However, different pathway mediators were involved in the different behaviors. Our previous study of the interleukin-1 receptor type 1 (IL-1R1) pathway provides additional support that another inflammatory pathway using the MyD88 adapter protein can regulate distinct ethanol-mediated behaviors (Blednov et al., 2015). For example, ethanol consumption was not altered in IL-1R1 KO mice, but IL-1R1 signaling was involved in ethanol-induced sedation and motor incoordination as well as withdrawal severity (Blednov et al., 2015). The ethanol- and benzodiazepine-induced LORR phenotypes in IL-1R1 KO mice were similar to those observed in the TLR4 and MyD88 mutant mice shown here, and both studies suggest that a GABAergic mechanism may contribute to the altered sedative effects in these mutant strains. Although different proinflammatory pathways culminate in a common endpoint of elevated levels of cytokines, we have shown that simply inhibiting various pathway components does not always yield the same phenotype. Some, but not all, components are important in ethanol behaviors, and deletion of individual mediators can produce distinct behavioral responses to ethanol. Notably, some pathway components were linked with ethanol drinking while others were involved in ethanol’s acute sedative and intoxicating effects. The behavioral tests that we used would produce either acutely elevated blood alcohol levels following i.p. injection or lower levels of chronically elevated blood alcohol following voluntary drinking. The short-term vs. long-term ethanol exposure times could determine the impact (if any) of neuroimmune/inflammatory responses or the particular pathways involved. These pathway components may also regulate normal brain function independent of inflammatory signaling.
In the present study, we consistently found that male and female mice lacking TLR4 or MyD88 were less sensitive to ethanol’s acute sedative and intoxicating effects, whereas CD14 KO and TLR2 KO male and female mice did not differ from control mice in these tests (Table 2). All mutants studied were less sensitive to the sedative effects of gaboxadol, while only TLR4 mutant mice were less sensitive to pentobarbital-induced sedation. Inhibition of TLR4-MyD88 signaling also increased recovery from the motor incoordination induced by diazepam (Table 2). Our companion study showed that TLR4 did not regulate ethanol consumption in male or female mice and MyD88 had a complex sex-dependent role (Blednov et al., submitted), but the current study supports a strong involvement of these components in the acute depressant actions of ethanol and other GABAergic sedative drugs (e.g., gaboxadol, diazepam).
Table 2.
Summary of the acute effects of ethanol and other sedatives in mice lacking CD14, TLR2, TLR4, or MyD88.
| Duration of LORR | Recovery from Motor Incoordination | Recovery from Hypothermia | Rate of Clearance | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mutants | EtOH (3.6 g/kg) | Gaboxadol (55 mg/kg) | Pentobarb (50 mg/kg) | EtOH (2 g/kg) | Diazepam (5 g/kg) | EtOH (3.6 g/kg) | EtOH (4 g/kg) | |||||||
| M | F | M | F | M | F | M | F | M | F | M | F | M | F | |
| CD14 | = | = | ↓ | ↓ | = | = | = | = | ↑ | ↑ | = | = | = | = |
| TLR2 | = | = | ↓ | ↓ | = | = | = | = | = | = | = | = | = | = |
| TLR4 | ↓ | ↓ | ↓ | ↓ | ↓ | ↓ | ↑ | ↑ | ↑ | ↑ | = | = | = | = |
| MyD88 | ↓ | ↓ | ↓ | ↓ | = | = | ↑ | ↑ | ↑ | ↑ | ↑ | ↑ | = | |
Duration of loss of righting reflex, recovery from motor incoordination and hypothermia, and blood ethanol clearance in male (M) and female (F) mutant vs. control C57BL/6J mice injected with ethanol or other sedative drugs. ↓ indicates reduced duration of LORR compared with corresponding control mice; ↑ indicates increased (faster) recovery from the motor incoordination or hypothermic effects of ethanol compared with control mice; = indicates no significant difference from control mice. EtOH, ethanol; LORR, loss of righting reflex; pentobarb, pentobarbital.
The overall effects of ethanol and diazepam in the mutants were similar (Table 2), suggesting that altered GABAergic responses may be a common mechanism as discussed earlier for IL-1R1 KO mice (Blednov et al., 2015). Electrophysiological studies showed that acute ethanol potentiates GABAergic transmission in mouse central amygdala neurons via CD14/TLR4 signaling (Bajo et al., 2014), and also support a role for IL-1R in acute ethanol-induced facilitation of GABAergic synaptic currents (Bajo et al., 2015). The electrophysiological evidence corroborates our previous and current behavioral data showing that MyD88-related components potentially regulate the acute and chronic effects of ethanol via GABAergic signaling. Interestingly, electrophysiological evidence also supports distinct signaling roles for proinflammatory/neuroimmune molecules in basal GABAergic transmission (Bajo et al., 2014; Bajo et al., 2015). It is also possible that ethanol directly stimulates TLR4-MyD88 signaling as has been proposed for opioid-induced activation of TLR4 (Hutchinson et al., 2010). An alternative possibility is that ethanol activates this pathway by releasing endogenous activators of TLR4 such as HMGB1 (Zou and Crews, 2014; Crews et al., 2013).
Our results in male and female mice are consistent with previous studies showing that ethanol-induced duration of LORR decreased in male TLR4 KO mice or mice treated with the selective TLR4 inhibitor, (±)-naloxone (Wu et al., 2011; Corrigan et al., 2015). Thus, two different genetic mouse models (TLR4 null mutants and B6.B10ScN mice), as well as pharmacological inhibition of TLR4 in mice, confirm that TLR4 is involved in the acute sedative effects of ethanol; and we provide further evidence that male and female mice do not differ in the acute sedative or intoxicating effects. Different genetic and pharmacological mouse models have also provided corroborating evidence that TLR4 is not a critical determinant of ethanol drinking (Alfonso-Loeches et al., 2010; Bajo et al., 2016; Pascual et al., 2011) (Blednov et al., submitted), and we confirmed these findings in female mice. These results are further supported by an extensive body of research in male and female rats and mice, showing that genetic or pharmacologic manipulation of TLR4 does not regulate ethanol drinking, but the acute sedative effect of ethanol is decreased in TLR4 KO rats (Harris et al., in press). Including our work in male and female B6.B10ScN mice, a role for TLR4 in ethanol’s acute sedative effects (but not drinking) has now been validated in several different male and female rodent models. Although null mutations may induce compensatory molecular changes in the periphery and/or the CNS, our findings have been validated by studies using pharmacological inhibitors of TLR4 (described above). Previous TLR4 studies did not compare ethanol with other sedatives, but we now show that TLR4 is also involved in the sedative effects of GABAergic drugs such as gaboxadol and pentobarbital, and does not specifically mediate ethanol-induced sedation.
In addition to TLR4, we demonstrate a key role for MyD88 in the sedative and intoxicating effects of ethanol in male and female mice, which is consistent with the findings reported by Wu et al. (2012) in male MyD88 KO mice. Our work further implicates TLR4-MyD88 signaling in the motor incoordination effects of diazepam and suggests that this pathway mediates the acute depressant effects of ethanol and other GABAergic sedatives in mice of both sexes.
Our results do not support a role for TLR2 in ethanol-induced sedation in contrast to the study by Corrigan et al. (2015), which showed that LORR was almost completely eliminated in TLR2 KO mice. It should be noted that the TLR2 KO mice used in these studies were generated by different groups using different genetic backgrounds (Wooten et al., 2002; Corrigan et al., 2015) and may differ in developmental and compensatory changes associated with genetic deletion. Corrigan et al. (2015) used TLR2 KO mice on a Balb/c background, whereas the TLR2 KO mice used in our study were on a C57BL/6J background. However, the TLR4 KO and MyD88 KO mice studied in Wu et al. (2012) were on a Balb/c background and we observed similar LORR effects using mice on a C57BL/6J background. Although we found that TLR2 was not involved in the sedative response to ethanol, it was involved in gaboxadol-induced sedation (as were the other immune mediators that we studied). In contrast to the differential effects on voluntary ethanol consumption, the acute sedative and intoxicating effects of ethanol (or other GABAergic drugs) were regulated in a similar manner by several MyD88 pathway components, suggesting a role for overall cytokine signaling in these behaviors.
We studied ethanol-induced hypothermia and blood ethanol clearance because these physiological and pharmacokinetic effects can potentially impact the behaviors that we measured. Hypothermia can prolong ethanol’s sedative effects, so we measured body temperature following the same dose of ethanol that was used in the LORR experiments. The rate of clearance of blood ethanol can also affect recovery from its sedative and intoxicating effects. However, there were no genotype differences in clearance or hypothermia that could account for the behavioral effects. Thus, the ethanol-induced behaviors measured in our two studies were not likely influenced by physiological or pharmacokinetic processes.
Collectively, our studies show that key mediators of the MyD88 inflammatory pathway are associated with distinct behavioral effects of ethanol. In general, TLR4 and MyD88 are implicated in the acute sedative and intoxicating effects of ethanol, while TLR2 and CD14 are implicated in ethanol drinking (although the effects of MyD88 effects are more complex as it may regulate drinking in male mice). Effects on ethanol consumption in some mutants depended on the sex of the mice (Blednov et al., submitted), but sex differences were not observed for the effects of mutations on the sedative and intoxicating effects of ethanol. Although the involvement of neuroimmune signaling in the different behaviors is unknown, it appears that GABAergic regulation is important in ethanol’s acute actions. Our studies provide novel evidence that individual players in the MyD88 pathway are associated with distinct ethanol-related behaviors, suggesting that signaling components can be selectively targeted to mitigate the effects of ethanol or other sedative drugs.
Acknowledgments
Funding: This research was supported by the National Institute of Alcohol Abuse and Alcoholism (grants AA013520/INIA-Neuroimmune and AA006399).
The authors declare no conflicts of interest.
Footnotes
Author Contributions. YAB designed and performed experiments, analyzed data, prepared graphs/tables, and wrote the manuscript; MB, JB, and AD performed experiments; JM prepared graphs/tables and wrote the manuscript; RAH designed experiments and edited the manuscript.
References
- Alfonso-Loeches S, Pascual-Lucas M, Blanco AM, Sanchez-Vera I, Guerri C. Pivotal role of TLR4 receptors in alcohol-induced neuroinflammation and brain damage. J Neurosci. 2010;30:8285–8295. doi: 10.1523/JNEUROSCI.0976-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bajo M, Madamba SG, Roberto M, Blednov YA, Sagi VN, Roberts E, Rice KC, Harris RA, Siggins GR. Innate immune factors modulate ethanol interaction with GABAergic transmission in mouse central amygdala. Brain Behav Immun. 2014;40:191–202. doi: 10.1016/j.bbi.2014.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bajo M, Montgomery SE, Cates LN, Nadav T, Delucchi AM, Cheng K, Yin H, Crawford EF, Roberts AJ, Roberto M. Evaluation of TLR4 Inhibitor, T5342126, in Modulation of Ethanol-Drinking Behavior in Alcohol-Dependent Mice. Alcohol Alcohol. 2016;51:541–548. doi: 10.1093/alcalc/agw026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bajo M, Varodayan FP, Madamba SG, Robert AJ, Casal LM, Oleata CS, Siggins GR, Roberto M. IL-1 interacts with ethanol effects on GABAergic transmission in the mouse central amygdala. Front Pharmacol. 2015;6:49. doi: 10.3389/fphar.2015.00049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blednov YA, Benavidez JM, Black M, Chandra D, Homanics GE, Rudolph U, Harris RA. Linking GABA(A) receptor subunits to alcohol-induced conditioned taste aversion and recovery from acute alcohol intoxication. Neuropharmacology. 2013;67:46–56. doi: 10.1016/j.neuropharm.2012.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blednov YA, Benavidez JM, Black M, Leiter CR, Osterndorff-Kahanek E, Johnson D, Borghese CM, Hanrahan JR, Johnston GA, Chebib M, Harris RA. GABAA receptors containing ρ1 subunits contribute to in vivo effects of ethanol in mice. PLoS One. 2014;9:e85525. doi: 10.1371/journal.pone.0085525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blednov YA, Benavidez JM, Black M, Mayfield J, Harris RA. Role of interleukin-1 receptor signaling in the behavioral effects of ethanol and benzodiazepines. Neuropharmacology. 2015;95:309–320. doi: 10.1016/j.neuropharm.2015.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blednov YA, Benavidez JM, Geil C, Perra S, Morikawa H, Harris RA. Activation of inflammatory signaling by lipopolysaccharide produces a prolonged increase of voluntary alcohol intake in mice. Brain Behav Immun. 2011;25(Suppl 1):S92–S105. doi: 10.1016/j.bbi.2011.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blednov YA, Black M, Chernis J, Dacosta A, Harris RA. The MyD88-dependent pathway regulates ethanol consumption: I. Ethanol drinking in mice lacking TLR2, TLR4, CD14, or MyD88. Alc Clin Exp Res. doi: 10.1111/acer.13316. submitted. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boehm SL, 2nd, Peden L, Harris RA, Blednov YA. Deletion of the fyn-kinase gene alters sensitivity to GABAergic drugs: dependence on beta2/beta3 GABAA receptor subunits. J Pharmacol Exp Ther. 2004;309:1154–1159. doi: 10.1124/jpet.103.064444. [DOI] [PubMed] [Google Scholar]
- Corrigan F, Wu Y, Tuke J, Coller JK, Rice KC, Diener KR, Hayball JD, Watkins LR, Somogyi AA, Hutchinson MR. Alcohol-induced sedation and synergistic interactions between alcohol and morphine: A key mechanistic role for Toll-like receptors and MyD88-dependent signaling. Brain Behav Immun. 2015;45:245–252. doi: 10.1016/j.bbi.2014.12.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crews FT, Qin L, Sheedy D, Vetreno RP, Zou J. High mobility group box 1/Toll-like receptor danger signaling increases brain neuroimmune activation in alcohol dependence. Biol Psychiatry. 2013;73:602–612. doi: 10.1016/j.biopsych.2012.09.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Crews FT, Vetreno RP. Mechanisms of neuroimmune gene induction in alcoholism. Psychopharmacology (Berl) 2016;233:1543–1557. doi: 10.1007/s00213-015-3906-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harris RA, Bajo M, Bell RL, Blednov YA, Varodayan FP, Truitt J, de Guglielmo G, Lasek AW, Logrip ML, Vendruscolo LF, Roberts AJ, Roberts E, George O, Mayfield J, Billiar TR, Hackam DJ, Mayfield RD, Koob GF, Roberto M, Homanics GE. Genetic and pharmacologic manipulation of TLR4 has minimal impact on ethanol consumption in rodents. J Neurosci. doi: 10.1523/JNEUROSCI.2002-16.2016. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hou B, Reizis B, DeFranco AL. Toll-like receptors activate innate and adaptive immunity by using dendritic cell-intrinsic and -extrinsic mechanisms. Immunity. 2008;29:272–282. doi: 10.1016/j.immuni.2008.05.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hutchinson MR, Zhang Y, Shridhar M, Evans JH, Buchanan MM, Zhao TX, Slivka PF, Coats BD, Rezvani N, Wieseler J, Hughes TS, Landgraf KE, Chan S, Fong S, Phipps S, Falke JJ, Leinwand LA, Maier SF, Yin H, Rice KC, Watkins LR. Evidence that opioids may have toll-like receptor 4 and MD-2 effects. Brain Behav Immun. 2010;24:83–95. doi: 10.1016/j.bbi.2009.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mayfield J, Ferguson L, Harris RA. Neuroimmune signaling: a key component of alcohol abuse. Curr Opin Neurobiol. 2013;23:513–520. doi: 10.1016/j.conb.2013.01.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moore KJ, Andersson LP, Ingalls RR, Monks BG, Li R, Arnaout MA, Golenbock DT, Freeman MW. Divergent response to LPS and bacteria in CD14-deficient murine macrophages. J Immunol. 2000;165:4272–4280. doi: 10.4049/jimmunol.165.8.4272. [DOI] [PubMed] [Google Scholar]
- Pascual M, Balino P, Alfonso-Loeches S, Aragon CM, Guerri C. Impact of TLR4 on behavioral and cognitive dysfunctions associated with alcohol-induced neuroinflammatory damage. Brain Behav Immun. 2011;25(Suppl 1):S80–91. doi: 10.1016/j.bbi.2011.02.012. [DOI] [PubMed] [Google Scholar]
- Robinson G, Most D, Ferguson LB, Mayfield J, Harris RA, Blednov YA. Neuroimmune pathways in alcohol consumption: evidence from behavioral and genetic studies in rodents and humans. Int Rev Neurobiol. 2014;118:13–39. doi: 10.1016/B978-0-12-801284-0.00002-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wooten RM, Ma Y, Yoder RA, Brown JP, Weis JH, Zachary JF, Kirschning CJ, Weis JJ. Toll-like receptor 2 is required for innate, but not acquired, host defense to Borrelia burgdorferi. J Immunol. 2002;168:348–355. doi: 10.4049/jimmunol.168.1.348. [DOI] [PubMed] [Google Scholar]
- Wu Y, Lousberg EL, Moldenhauer LM, Hayball JD, Coller JK, Rice KC, Watkins LR, Somogyi AA, Hutchinson MR. Inhibiting the TLR4-MyD88 signalling cascade by genetic or pharmacological strategies reduces acute alcohol-induced sedation and motor impairment in mice. Br J Pharmacol. 2012;165:1319–1329. doi: 10.1111/j.1476-5381.2011.01572.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zou JY, Crews FT. Release of neuronal HMGB1 by ethanol through decreased HDAC activity activates brain neuroimmune signaling. PLoS One. 2014;9:e87915. doi: 10.1371/journal.pone.0087915. [DOI] [PMC free article] [PubMed] [Google Scholar]






