Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Addict Biol. 2022 Sep;27(5):e13222. doi: 10.1111/adb.13222

Gonadal hormones and sex chromosome complement differentially contribute to ethanol intake, preference, and relapse-like behavior in Four Core Genotypes mice

Elizabeth A Sneddon 1, Lindsay N Rasizer 1, Natalie G Cavalco 1, Asa H Jaymes 1, Noah J Ostlie 1, Brianna L Minshall 1, Brianna M Masters 1, Michael R Hughes 2, Haley Hrncir 3, Arthur P Arnold 3, Anna K Radke 1
PMCID: PMC9413386  NIHMSID: NIHMS1826158  PMID: 36001422

Abstract

Alcohol use and high-risk alcohol drinking behaviors among women are rapidly rising. In rodent models, females typically consume more ethanol (EtOH) than males. Here, we used the Four Core Genotypes (FCG) mouse model to investigate the influence of gonadal hormones and sex chromosome complement on EtOH drinking behaviors. FCG mice were given access to escalating concentrations of EtOH in a two-bottle, 24-h continuous access drinking paradigm to assess consumption and preference. Relapse-like behavior was measured by assessing escalated intake following repeated cycles of deprivation and re-exposure. Twenty-four-hour EtOH consumption was greater in mice with ovaries (Sry−), relative to those with testes, and in mice with the XX chromosome complement, relative to those with XY sex chromosomes. EtOH preference was higher in XX vs. XY mice. For both consumption and preference, the influences of the Sry gene and sex chromosomes were concentration dependent. Escalated intake following repeated cycles of deprivation and re-exposure emerged only in XX mice (vs. XY). Mice with ovaries (Sry− FCG mice and C57BL/6J females) were also found to consume more water than mice with testes. These results demonstrate that aspects of EtOH drinking behavior may be independently regulated by sex hormones and chromosomes and inform our understanding of the neurobiological mechanisms which contribute to EtOH dependence in male and female mice. Future investigation of the contribution of sex chromosomes to EtOH drinking behaviors is warranted.

Keywords: alcohol deprivation effect, sex chromosomes, sex differences

Introduction

Risky drinking behaviors and the development of Alcohol Use Disorder (AUD) is a prevalent health issue in the United States and worldwide 1. Recent research demonstrates that alcohol use and high-risk alcohol drinking behaviors among women are rapidly rising 2. Further, women may progress from initial alcohol experience to alcohol dependence more quickly than men 3 and work harder for alcohol following a period of abstinence 4. Paralleling the effects observed in humans, female rodents are known to be more vulnerable to a range of addictive behaviors 5. For example, female rodents consume more ethanol (EtOH) than males 69 and are more likely to consume EtOH despite the risk of punishment 1012. The neurobiological mechanisms contributing to these behavioral differences are still relatively unknown.

One potential mediator of sex differences in alcohol drinking behaviors is gonadal hormones. Elevated levels of estrogens have been associated with higher levels of alcohol consumption in adolescent 13 and adult women 14. Recent work also suggests that rising progesterone levels may protect against alcohol intake in some women and that gonadal hormone levels may be associated with drinking alcohol to cope with negative emotional states 15. In rodents, elevated levels of EtOH consumption and EtOH reward in females 1618 are at least partially dependent on ovarian hormones including estradiol, which promotes drinking 1924 and EtOH reward 25.

Gonad type is influenced by the presence or absence of the Sry gene, which is located on the Y chromosome and is responsible for the development of testes in male mice and the secretion of testosterone 26,27. As such, gonad differentiation is the result of only one of a number of chromosomal differences between males and females. Indeed, the human Y chromosome encodes 27 proteins and the X chromosome encodes approximately 1500 proteins that could potentially contribute to sex differences in alcohol drinking behaviors and a large number of X-linked genes are important for brain development and function 2830. Differentiating the influences of gonadal hormones and sex chromosomes on behavior is, however, difficult and there are few data on sex chromosome contributions to alcohol drinking.

Fortunately, the Four Core Genotypes (FCG) mouse model, in which the Sry gene is absent from the Y chromosome and inserted onto an autosome in the same mice, allows the influences of sex chromosomes and gonadal hormones on behavior to be assessed independently 26,27. Without the Sry transgene, XY or XX mice have female gonads (ovaries) regardless of sex chromosome complement, whereas XX or XY Sry+ mice have male gonads (testes) (Fig. 1). This results in four groups: XX/Sry−, XY/Sry−, XX/Sry+, and XY/Sry+. Using this mouse model, sex chromosomes have been found to influence aggression, parenting, nociception, social interaction, and habit formation 26,31. In regard to EtOH drinking, female gonads (Sry−) have been associated with increased consumption (paralleling the effects of gonadal hormones described above) while sex chromosomes influenced the development of habitual vs. goal-directed responding for EtOH 32.

Figure 1. Breeding scheme of the Four Core Genotypes (FCG) mice.

Figure 1.

Breeding XX (wild-type) females with a XY/Sry+ mice results in four groups of offspring. XX/Sry− and XY/Sry− mice have ovaries and secrete female levels of hormones regardless of chromosome complement. XX/Sry+ and XY/Sry+ mice have testes and secrete male levels of hormones regardless of chromosome complement. Key: Purple chromosomes: mouse X chromosomes; gray chromosomes: mouse Y chromosomes; for Sry− mice the female mouse reproductive system is shown and for Sry+ mice the male mouse reproductive system is shown. The reproductive systems consist of gonadal (ovaries or testes) and non-gonadal tissues.

To explore the contributions of gonadal hormones and sex chromosomes to alcohol consumption, preference, and relapse-like behavior, we examined 24-h EtOH intake and the alcohol deprivation effect in FCG mice. Our results suggest an important role for both sex hormones and chromosomes in mediating female vulnerability to EtOH drinking behaviors.

Methods

Subjects

39 FCG mice (PND 60+) were generated from breeding pairs consisting of Sry+ XY male and C57BL/6J (wild type) XX female mice at the Laboratory of Animal Resources at Miami University 27. FCG breeding pairs used to generate experimental mice were obtained from UCLA. This breeding scheme results in four groups XX/Sry− (n = 10), XY/Sry− (n = 10), XX/Sry+ (n = 9), and XY/Sry+ (n = 10) (Fig. 1). Mice were tested in adulthood (XX/Sry−: 27.05 ± 1.85; XY/Sry−: 25.15 ± 2.46; XX/Sry+: 18.57 ± 1.63; XY/Sry+: 20.12 ± 1.84 weeks at the start of testing [all data mean ± SEM]). Prior to experimentation, FCG mice were group housed by gonad type (Sry− or Sry+). 52 C57BL/6J mice (male = 20, female = 32) were generated from breeding pairs purchased from the Jackson Laboratory (Bar Harbor, ME) and were grouped housed prior to experimentation or surgery.

One week before the first experimental session, mice were individually housed in standard shoe box udel polysulfone rectangular mouse cages (18.4 cm × 29.2 cm × 12.7 cm) outfitted with two-bottle cage tops. Mice were given standard care and had access to LabDiet 5001 standard chow and reverse-osmosis (RO) filtered water ad libitum. Mice were kept on a 12:12 hour light:dark cycle (lights on at 7 AM). All mice were cared for in accordance with the guidelines set by the National Institute of Health and all procedures were approved by the Institutional Animal Care and Use Committee (IACUC) at Miami University.

24-h home cage EtOH drinking and deprivation

Throughout testing, FCG mice had access to two bottles that contained reverse-osmosis (RO) drinking water and EtOH in RO water (v/v). Drinking bottles were made from 50 mL conical tubes fitted with ball-bearing sippers weighing approximately 80 g when filled and mice consumed about 2–4 g per session. All bottles were weighed every 24 h using a portable balance (Fisher Science Education, Model: SLF103, readability: 0.001 g). Every 48 h mice were weighed and solutions were changed out. EtOH concentrations increased over drinking sessions from 5%, 10%, 15%, to 20% (5 drinking sessions/concentration) (Fig. 2A). After the last 20% EtOH session, mice underwent a 6-day EtOH deprivation period. After the deprivation period, mice were reintroduced to 20% EtOH for 24 h. This cycle of deprivation and re-exposure was then repeated for a total of 5 deprivation sessions (Fig. 3A). Bottles were alternated daily to equate side biases. Two “dummy” cages were outfitted with bottles to account for spillage and evaporation.

Figure 2. Differential effects of gonadal hormones and sex chromosomes on EtOH intake and preference.

Figure 2.

A) FCG mice drank EtOH, 5%, 10%, 15%, and 20% concentrations, for 24 h across 5 drinking sessions per concentration. B) Sry− (vs. Sry+) and XX (vs. XY) mice consumed greater amounts of EtOH. C) XX chromosomes were associated with heightened preference for EtOH vs. water. *p < 0.05, **p < 0.01 (main effects 3-Way ANOVA). #p < 0.05, ##p < 0.01 main effect of Sry, and @p < 0.01 main effect of chromosomes (for 2-Way ANOVA at that concentration).

Figure 3. XX chromosomes promote the alcohol deprivation effect.

Figure 3.

A) Following the last 20% EtOH session, FCG mice underwent 6 sessions of deprivation and were then re-exposed to 20% EtOH for one 24-h session. This cycle of deprivation and re-exposure was repeated five times. B) XX/Sry− and XX/Sry+ mice escalated intake compared to drinking at baseline (= 5 sessions preceding deprivation; BL). # p < 0.05 vs. BL (Dunnett’s), **p < 0.01 (main effects 3-Way ANOVA).

24-h home cage water and sucrose drinking in FCG mice

At least two weeks following the last re-exposure session, FCG mice were presented with RO water for one 24-h session. The following day mice were presented with a bottle of 2.5% sucrose or RO water for a total of five 24-h drinking sessions (Fig. 4A).

Figure 4. Female gonads (Sry−) promote water but not sucrose intake.

Figure 4.

A) FCG mice were given access to water for a 24-h session followed by five sessions with 2.5% sucrose. B) Sry− mice consumed more water than Sry+ mice. ** p < 0.01 main effect of Sry (2-Way ANOVA). C) No differences were observed in sucrose consumption.

24-h home cage water drinking in C57BL/6J mice

To follow up on effects observed in the FCG mice, water intake in C57BL/6J mice was assessed in two separate experiments. First, water intake in intact male and female mice was recorded over a 24-h session. Mice (n = 40, male = 20, female = 20) were individually housed at least three days prior to experimentation. One water bottle was presented to the mice ab libitum for one 24-h session. Bottles and mice were weighed at the onset and end of the session. Two “dummy” bottles were outfitted on cages to account for any evaporation or spillage.

The influence of circulating ovarian hormones on water intake was assessed in a separate experiment. Female C57BL/6J mice received either ovariectomy (OVX = 16) or sham (SHAM = 16) surgeries as described below. Water intake was assessed over a 24-h session as described above.

Ovariectomy surgeries

Mice were placed under light anesthesia using isoflurane and were surgically prepped by removing the fur from the back. The incision sites were cleaned with three alternating swabs of betadine-soaked gauze and EtOH wipes. Next, a 1-cm incision was made through the skin along the abdominal cavity. The ovarian fat pat was identified under the dorsal muscle mass and a 0.5-cm incision was made through the dorsal muscle mass. The ovarian fat pad was pulled through the incision to expose the ovary. Hemostats were then used to clamp the uterine horn off underneath the ovary to prevent bleeding. A scalpel was used to remove the ovary. Following removal, the uterine horn and fat pad were replaced back into the body cavity. Sutures were made through the muscle and the skin to close the wound. The above steps were repeated for the next side. For sham surgeries, the above steps were the same but the ovary was not removed. After surgery, mice were placed on a heating pad for at least 30 minutes and were weighed before returning to the colony room. Standard post-operative care was given for 3 – 5 days and 50 – 80 mg/kg/day of ibuprofen was available in drinking water. Experimentation occurred three weeks following surgery (after Satta et al., 2018).

Data Analysis

Consumption was calculated as (Initial Bottle Weight − Post Bottle Weight) − Average of Dummy Bottles. EtOH consumption was expressed as grams of EtOH consumed per kilogram of body weight. Preference was calculated as ((Volume of EtOH)/ (Volume of EtOH + Water Consumption))*100. Consumption and preference for each concentration was computed by averaging across the five drinking sessions. Total water or EtOH consumption was calculated by summing consumption across all drinking sessions for each individual mouse then averaging for each group. Water and sucrose data were expressed as milliliters of water consumed per kilogram of body weight.

For EtOH consumption and preference data, a Three-Way ANOVA was used with Sry (gonad type) and sex chromosome complement as between-subjects factors and EtOH concentration as the within-subjects factor. Because Sry and chromosome complement were found to interact with EtOH concentration, but not each other, follow-up analyses using a Two-Way ANOVA were performed on each separate concentration using sex chromosome complement and Sry (gonad type) as between-subjects factors. Dunnett’s test corrected for multiple comparisons was used to assess the alcohol deprivation effect, defined as an increase in consumption on re-exposure sessions vs. at baseline (= the five sessions immediately preceding the beginning of the first deprivation period). For water and sucrose consumption experiments in FCG mice, a Two-Way ANOVA was used with Sry and chromosome complement as between-subject factors. In C57BL/6J mice, an unpaired t-test was used between groups.

Sample size was determined a priori based on previous work assessing the alcohol deprivation effect in C57BL/6J mice 33,34. Partial omega squared (ω2) with 95% confidence intervals were calculated to report effect sizes 35. All data are shown as mean ± SEM and the alpha level for all comparisons was set at p < 0.05. Analyses were conducted in R v. 4.1.1 and GraphPad Prism v. 8.3. Images were created using GraphPad Prism, BioRender, and GNU Image Manipulation Program (GIMP) 2.10.

Results

Sex hormones and chromosomes influence EtOH consumption.

Analysis of EtOH consumption across concentrations revealed influences of both Sry (gonad type) and sex chromosomes (Fig. 2B). Sry− mice consumed more EtOH than Sry+ mice and XX mice consumed more than XY mice. A Three-Way ANOVA identified main effects of the Sry gene (F(1, 35) = 4.704, p = 0.037, ω 2 = 0.09 [0.00, 0.30]), chromosome complement (F(1, 35) = 9.839, p = 0.003, ω 2 =0.19 [0.02, 0.41]), and EtOH concentration (F(3, 105) = 55.046, p < 0.0001, ω 2 = 0.60 [0.48, 0.68]). There were interactions with EtOH concentration for the Sry gene (F(3, 105) = 3.159, p = 0.028, ω 2 = 0.06 [0.00, 0.14]) and chromosome complement (F(3, 105) = 2.838, p = 0.042, ω 2 = 0.05 [0.00, 0.13]). The interaction between Sry gene X chromosome complement (F(1,35) = 1.487, p = 0.231, ω 2 = 0.01 [0.00, 0.17]) and the three-way interaction of Sry gene X sex chromosomes X EtOH concentration did not reach significance (F(3, 105) = 0.238, p = 0.870, ω 2 = −0.02 [0.00, 0.00]).

Follow-up Two-Way ANOVAs for each concentration of EtOH found a main effect of chromosome complement at the 10% (F(1,35) = 5.695, p = 0.023, ω 2 = 0.11 [0.00, 0.32]) and 15% (F(1,35) = 12.647, p = 0.001, ω 2 = 0.23 [0.03, 0.45]) concentrations but not 5% (F(1,35) = 1.673, p = 0.204, ω 2 = 0.02 [0.00, 0.18]) or 20% (F(1,35) = 2.928, p = 0.096, ω 2 = 0.05 [0.00, 0.24]). A main effect of Sry gene was uncovered at the 5% (F(1,35) = 6.339, p = 0.017, ω 2 = 0.12 [0.00, 0.34]) and 20% (F(1,35) = 8.222, p = 0.007, ω 2 = 0.16 [0.01, 0.37]) concentrations of EtOH but not 10% (F(1,35) = 0.819, p = 0.372, ω 2 = 0.00 [0.00, 0.00]) or 15% (F(1,35) = 0.124, p = 0.727, ω 2 = −0.02 [0.00, 0.00]). There were no significant interactions between Sry and chromosomes (p > 0.20 for all; ω 2 < 0.01 for all).

Additional analyses on body weights across EtOH concentrations revealed that Sry+ mice weighed more than Sry− mice at the 10%, 15%, and 20% concentrations (Table 1). A Three-Way ANOVA identified a main effect of the Sry gene (F(1,35) = 10.706, p = 0.002, ω 2 = 0.21 [0.02, 0.43]) and an interaction between EtOH concentration X Sry gene (F(3,105) = 3.512, p = 0.018, ω 2 = 0.06 [0.00, 0.16]). No effect of chromosome complement (F(1,35) = 1.684, p = 0.203, ω 2 = 0.02 [0.00, 0.18]) or EtOH concentration (F(3,105) = 1.034, p = 0.381, ω 2 = 0.00 [0.00, 0.00]) was observed. The interactions between Sry gene X chromosome complement (F(1,35) = 1.143, p = 0.292, ω 2 = 0.00 [0.00, 0.13]), chromosome complement X EtOH concentration (F(3,105) = 0.330, p = 0.804, ω 2 = −0.02 [0.00, 0.00]), and the three-way interaction of Sry gene X sex chromosomes X EtOH concentration did not reach significance (F(3,105) = 0.249, p = 0.862, ω 2 = −0.02 [0.00, 0.00]).

Table 1.

Average Body Weights

Group 5% EtOH (mL/ kg) 10% EtOH (mL/ kg)a 15% EtOH (mL/ kg)a 20% EtOH (mL/ kg)a

XX/Sry− 24.25 ± 0.52 22.68 ± 0.35 23.95 ± 0.39 23.94 ± 0.49
XY/Sry− 23.40 ± 0.54 22.62 ± 0.52 23.07 ± 0.58 23.11 ± 0.49
XX/Sry+ 23.85 ± 0.32 24.96 ± 0.43 25.08 ± 0.43 25.22 ± 0.43
XY/Sry+ 24.32 ± 0.66 24.68 ± 0.48 24.76 ± 0.52 25.02 ±0.47

There were no significant main effects of chromosomes on body weights when follow-up Two-Way ANOVAs at each concentration were performed: 5% (F(1,35) = 0.138, p = 0.631, ω 2 = −0.02 [0.00, 0.00]), 10% (F(1,35) = 2.068, p = 0.159, ω 2 = 0.03 [0.00, 0.20]), 15% (F(1,35) = 1.522, p = 0.226, ω 2 = 0.01 [0.00, 0.17]), and 20% (F(1,35) = 1.183, p = 0.284, ω 2 = −0.01 [0.00, 0.00]). A main effect of Sry gene was found at the 10% (F(1,35) = 14.002, p < 0.001, ω 2 = 0.25 [0.04, 0.46]), 15% (F(1,35) = 8.281, p = 0.007, ω 2 = 0.16 [0.01, 0.38]), and 20% (F(1,35) = 11.440, p = 0.002, ω 2 = 0.21 [0.03, 0.43]) concentrations but not at 5% (F(1,35) = 0.234, p = 0.631, ω 2 = −0.02 [0.00, 0.00]). There were no significant interactions between Sry and chromosomes (p > 0.20 for all; ω 2 < 0.01 for all).

Sex hormones and chromosomes influence preference for EtOH vs. water.

Analysis of EtOH preference demonstrated an influence of sex chromosomes and hormones (Fig. 2C). Preference was higher in XX (vs. XY mice) and in Sry+ mice (vs. Sry−). A Three-Way ANOVA revealed a main effect of chromosome complement (F(1, 35) = 8.130, p = 0.007, ω 2 = 0.16 [0.01, 0.38]) and EtOH concentration (F(3, 105) = 47.188, p < 0.0001, ω 2 = 0.56 [0.43, 0.65]), but no interaction between these factors (F(3,105) = 1.912, p = 0.132, ω 2 = 0.02 [0.00, 0.09]). The main effect of Sry gene was not significant (F(1, 35) = 3.136, p = 0.085, ω 2 = 0.05 [0.00, 0.25]) but there was a significant Sry gene X EtOH concentration interaction (F(3, 105) = 3.169, p = 0.027, ω 2 = 0.06 [0.00, 0.14]). The interactions between Sry gene and sex chromosomes (F(1,35) = 3.555, p = 0.068, ω 2 = 0.06 [0.00, 0.14]) and Sry gene × sex chromosomes × EtOH concentration (F(3,105) = 0.117, p = 0.950, ω 2 = −0.02 [0.00, 0.00]) did not reach significance.

Follow-up Two-Way ANOVAs of preference for each concentration of EtOH found a main effect of chromosome complement at the 15% (F(1,35) = 12.573, p = 0.001, ω 2 = 0.23 [0.30, 0.45]) concentration but not 5% (F(1,35) = 1.297, p = 0.385, ω 2 = 0.00 [0.00, 0.15]), 10% (F(1,35) = 3.016, p = 0.091, ω 2 = 0.05 [0.00, 0.24]), or 20% (F(1,35) = 2.239, p = 0.144, ω 2 = 0.03 [0.00, 0.21]). A main effect of Sry gene was uncovered at the 10% (F(1,35) = 6.390, p = 0.016, ω 2 = 0.12 [0.00, 0.34]) concentration but not the 5% (F(1,35) = 0.774, p = 0.385, ω 2 = 0.00 [0.00, 0.00]), 15% (F(1,35) = 3.744, p = 0.061, ω 2 = 0.07 [0.00, 0.26]), or 20% (F(1,35) = 0.562, p = 0.459, ω 2 = −0.01 [0.00, 0.00]). There were no significant interactions between Sry and chromosomes (p > 0.10 for all; ω 2 < 0.04 for all).

Higher EtOH consumption in Sry− mice without corresponding increases in EtOH preference suggested that gonad type also influenced water consumption (Table 2). A Three-Way ANOVA of water consumption during the 24-h EtOH drinking paradigm in Sry− and Sry+ mice demonstrated that Sry− mice consumed more water than Sry+ mice, as evidenced by a main effect of Sry gene (F(1, 35) = 13.338, p < 0.001, ω 2 = 0.25 [0.04, 0.46]). There was also a main effect of EtOH concentration (F3,105) = 30.486, p < 0.0001, ω 2 = 0.45 [0.30, 0.56]) but not chromosome complement (F(1,35) = 3.533, p = 0.069, ω 2 = 0.06 [0.00, 0.26]). The interactions between Sry gene X chromosome complement (F(1,35) = 0.858, p = 0.361, ω 2 = 0.00 [0.00, 0.00]), Sry gene X EtOH concentration (F(3,105) = 1.555, p = 0.205, ω 2 = 0.02 [0.00, 0.06]), and chromosome complement X EtOH concentration (F(3,105) = 1.898, p = 0.134, ω 2 = 0.02 [0.00, 0.09]) did not reach significance. The three-way interaction of Sry gene X sex chromosomes X EtOH concentration did not reach significance (F(3, 105) = 0.258, p = 0.855, ω 2 = −0.02 [0.00, 0.00]).

Table 2.

Average Water Consumption

Group 5% EtOH (mL/ kg)a 10% EtOH (mL/ kg)a 15% EtOH (mL/ kg)ab 20% EtOH (mL/ kg)

XX/Sry− 88.33 ± 13.93 88.65 ± 15.66 120.02 ± 11.21 129.78 ± 14.40
XY/Sry− 77.95 ± 8.45 95.82 ± 17.06 153.91 ± 19.45 139.10 ± 25.69
XX/Sry+ 41.02 ± 6.07 32.79 ± 10.70 61.65 ± 9.93 90.84 ± 8.06
XY/Sry+ 67.09 ± 14.46 54.95 ± 12.07 107.94 ± 9.92 118.12 ±4.49

Follow-up Two-Way ANOVAs of water consumption for each concentration of EtOH found a main effect of chromosome complement (XY > XX mice) at the 15% (F(1,35) = 8.901, p = 0.005, ω 2 = 0.17 [0.01, 0.39]) concentration but not 5% (F(1,35) = 0.563, p = 0.458, ω 2 = −0.01 [0.00, 0.00]), 10% (F(1,35) = 1.049, p = 0.313, ω 2 = 0.00 [0.00, 0.10]), or 20% (F(1,35) = 1.346, p = 0.254, ω 2 = 0.00 [0.00, 0.15]). A main effect of Sry gene was uncovered at the 5% (F(1,35) = 5.983, p = 0.020, ω 2 = 0.11 [0.00, 0.33]), 10% (F(1,35) = 11.421, p = 0.002, ω 2 = 0.21 [0.03, 0.43]), and 15% (F(1,35) = 15.129, p < 0.001, ω 2 = 0.27 [0.05, 0.48]) concentrations but not 20% (F(1,35) = 3.578, p = 0.067, ω 2 = 0.06 [0.00, 0.26]). There were no significant interactions between Sry and chromosomes (p > 0.10 for all; ω 2 < 0.03 for all).

Sex chromosomes influence the alcohol deprivation effect.

Mice were re-exposed to 20% EtOH following 6-day cycles of deprivation for 5 total re-exposures (Fig. 3A). Previous research suggests that this regimen promotes increases in intake known as the alcohol deprivation effect 34. Analysis of EtOH consumption at baseline (= the five sessions immediately preceding the beginning of the first deprivation period) and on the five deprivation sessions demonstrated that sex chromosomes influenced the magnitude of the alcohol deprivation effect. A Three-Way ANOVA revealed main effects of the Sry gene (F(1, 35) = 12.075, p = 0.001, ω 2 = 0.23 [0.03, 0.45]), sex chromosome complement (F(1, 35) = 13.202, p < 0.001, ω 2 = 0.25 [0.04, 0.46]), and re-exposure session (F5, 180) = 7.9747, p < 0.0001, ω 2 = 0.16 [0.06, 0.24]). No interactions were observed between re-exposure session X Sry gene (F(5,175) = 0.970, p = 0.438, ω 2 = 0.00 [0.00, 0.00]), re-exposure session X chromosome complement (F(5,175) = 1.719, p = 0.133, ω 2 = 0.02 [0.00, 0.05]), Sry gene X chromosome complement (F(1,35) = 0.544, p = 0.466, ω 2 = −0.01 [0.00, 0.00]), or re-exposure session X Sry gene X chromosome complement (F(5,175) = 0.521, p = 0.760, ω 2 = −0.01 0.00, 0.00]).

Follow up Dunnett’s tests (control condition = baseline) showed that mice in the XX/Sry− group consumed more EtOH on re-exposure sessions 4 (p = 0.039) and 5 (p = 0.047) and mice in the XX/Sry+ group consumed more EtOH on re-exposure session 5 (p = 0.039) compared to baseline (Fig. 3B). Mice in the XY/Sry+ group consumed less EtOH compared to baseline on re-exposure session 4 (p = 0.032).

Sex hormones influence water but not sucrose consumption.

To determine whether the effects of the Sry gene on water consumption could be replicated without concurrent access to EtOH, water consumption in the home cage during a 24-h period was measured in all FCG mice. A Two-Way ANOVA revealed that Sry− mice drank more water vs. Sry+ mice, as evidenced by a main effect of Sry (F(1, 35) = 13.339, p < 0.001, ω 2 = 0.24 [0.04, 0.46]) (Fig. 4B). The effect of chromosome complement did not reach the threshold of significance (F(1,35) = 1.684, p = 0.203, ω 2 = 0.02 [0.00, 0.18]). No interaction was observed between chromosome complement X Sry (F(1,,35) = 1.046, p = 0.314, ω 2 = 0.00 [0.00, 0.10]).

A final control experiment was conducted to assess whether the observed differences in EtOH consumption and preference were specific to EtOH reward. FCG mice drank a 2.5% sucrose solution in a two-bottle choice paradigm for five 24-h sessions. A Two-Way ANOVA identified no main effects of the Sry gene (F(1,35) = 2.585, p = 0.117, ω 2 = 0.04 [0.00, 0.22]), chromosome complement (F(1,35) = 0.017, p = 0.898, ω 2 = −0.03 [0.00, 0.00]), and no interaction between Sry gene X chromosome complement (F1,35) = 0.040, p = 0.843, ω 2 = −0.03 [0.00, 0.00]) in average consumption of sucrose (Fig. 4C).

Female mice consume more water than male mice

In one 24-h session, female C57BL/6J mice consumed more water than their male counterparts. An unpaired t-test identified a difference between male and female consumption (t(38) = 2.933, p = 0.006, ω 2 = 0.16 [0.01, 0.37]) (Fig. 5A).

Figure 5. Circulating ovarian hormones do not influence water intake.

Figure 5.

C57BL/6J mice were given access to water for a 24-hour session. A) Female mice consumed more water than male mice. ** p < 0.01 (Unpaired t-test). B) Ovariectomized (OVX) mice consumed similar amounts of water compared to controls (SHAM).

Water consumption is not dependent on circulating ovarian hormones

In one 24-h session, water consumption in ovariectomized C57BL/6J mice was unchanged compared to controls. An unpaired t-test found no difference between OVX and SHAM water consumption (t(30) = 0.213, p = 0.833, ω 2 = −0.03 [0.00, 0.00]) (Fig. 5B).

Discussion

Using the FCG mouse model in a 24-h continuous access drinking paradigm, we explored how sex hormones and sex chromosomes contribute to female vulnerability to EtOH consumption, preference, and relapse-like behavior and uncovered novel influences of sex chromosomes. Twenty-four-hour EtOH consumption was greater in mice with female gonads (Sry−) and in mice with the XX chromosome complement. EtOH preference was higher in XX vs. XY mice. Escalated intake following repeated cycles of deprivation and re-exposure emerged only in XX mice (vs. XY). Follow-up control studies demonstrated that Sry− mice consumed more water than their Sry+ counterparts did. These results concur with prior findings concerning the role of ovarian hormones in female vulnerability to EtOH drinking while revealing an underappreciated role for sex chromosomes in these behaviors.

Because the presence or absence of Sry determines the development of ovaries (Sry−) vs. testes (Sry+), behavioral differences between the Sry genotypes are primarily driven by levels of gonadal hormones. It is well established that ovarian hormones such as estradiol promote consumption and seeking of alcohol in rats and mice 16,1922,24. Our observation of higher intake in Sry− mice similarly suggests that female gonads promote EtOH consumption. This finding also replicates an earlier study in FCG mice that reported higher 30-min EtOH consumption in Sry− mice 32. It is interesting to note that in the current study, the largest effect size observed for consumption was for EtOH concentration and that concentration significantly interacted with Sry (gonad type). The effect of Sry on consumption was most pronounced at the lowest (5%) and highest (20%) concentrations of EtOH, which is reminiscent of a previous study from our lab that found concentration-dependent increases in responding for EtOH in female mice 12. Thus, increased consumption of EtOH in female mice, as driven by the Sry gene, may be concentration dependent.

Interestingly, the increased EtOH consumption observed in Sry− mice was not seen for EtOH preference. In fact, at some concentrations, preference was higher in Sry+ mice (vs. Sry−). Some prior studies have seen increased preference in female rodents 16 while others have not 9,11. We have observed a similar pattern of greater EtOH consumption but not preference in intact female vs. male C57BL/6J mice using a drinking in the dark paradigm 9 and similar findings have been seen in rats 36,37. In the current study, the absence of an increase in preference in females was driven by robust elevations in water intake in Sry− mice during EtOH drinking sessions relative to Sry+ mice. Indeed, among all the responses measured during the 24-h drinking sessions, Sry had the largest effect on water consumption (ω 2 = 0.25). It is important to recognize that the EtOH and water consumption measures were influenced by body weight, and that Sry also had a large effect on this measure (ω 2 = 0.21). Higher water intake was also observed in a separate, EtOH-free session in Sry− vs. Sry+ mice and in female vs. male C57BL/6J mice. Although estrogens have been shown to influence water consumption in rodents 3840, we did not find an influence of circulating ovarian hormones on water consumption in OVX vs. SHAM female C57BL/6J mice, suggesting that sex differences in water consumption are not driven by ongoing (i.e., activational) influences of ovarian hormones. The influence of gonad type on water intake is an important consideration for studies of EtOH drinking behaviors, since variations in water intake could influence blood EtOH levels. It also raises the possibility that mice with female gonads may simply drink more fluids per kg of bodyweight than males. The observation of equal sucrose consumption across genotypes could argue against this conclusion, although we cannot rule out that consumption levels in that experiment reached a ceiling and obscured any effects. To be sure, studies of sex differences in alcohol drinking behaviors in rodents need to carefully control for the possibility that Sry− mice (likely via effects on body weight) have higher fluid intake.

In addition to gonadal influences on EtOH consumption, we report a novel role for sex chromosomes in influencing both consumption and preference, with similar effect sizes (ω 2 = 0.19 and 0.16, respectively). In one other study of 30-min consumption of 10% EtOH in FCG mice, sex chromosome complement did not influence consumption 32. Here, as with consumption, we also saw that EtOH concentration had a large effect on preference and differences in preference between XX and XY mice were greatest at the 15% concentration. Thus, the effects of chromosomes may be dependent on the drinking paradigm used or the concentration of EtOH presented. Importantly, sex chromosomes did not influence water or sucrose intake, suggesting that the observed effects are specific to EtOH. When considered alongside our findings regarding Sry influences on consumption but not preference, these results suggest that sex chromosome differences between males and females play a critical, and perhaps primary, role in driving sex differences in some EtOH drinking behaviors.

Another major finding of this work is that sex chromosomes and hormones influenced relapse-like behavior. As in the 24-h continuous portion of the experiment, EtOH consumption during re-exposure sessions was higher for mice with XX (vs. XY) chromosomes and Sry− (vs. Sry+) mice with large effect sizes. Furthermore, escalations in drinking following deprivation (assessed by comparing consumption on re-exposure sessions to baseline consumption of 20% EtOH) were only observed in mice with XX chromosomes. The observation of the alcohol deprivation effect on re-exposure session 4 in XX/Sry− but not XX/Sry+ mice further suggests that the presence of female gonads may facilitate the effects of deprivation on drinking behavior. One important consideration is that the alcohol deprivation effect was completely absent in XY/Sry+ mice, which are most similar to the male mice first used to establish this paradigm in the C57BL/6J line 34. Interestingly, delayed emergence of escalated drinking (during re-exposure session 6–7) was observed in a study by Melendez and colleagues (2006) when variants of the paradigm were used, including when a higher concentration of EtOH was available. It is possible that a similar delay occurred here in the XY/Sry+ mice because we used 20% EtOH, as opposed to 15%. Thus, while we cannot be certain, we think it likely that escalated drinking emerges more quickly (i.e., following fewer deprivation cycles) in vulnerable animals.

The alcohol deprivation effect has been demonstrated previously in male rats and mice 34,41,42 and has also been observed in female rats and WSC-1 mice following a single two-week deprivation 43,44. In the latter study, escalations in drinking following deprivation were similar in male and female mice 44. As such, our results are the first demonstration of greater female susceptibility in this model of relapse-like behavior. One limitation of our study is that we did not assess the deprivation effect by comparing consumption to non-deprived animals, as has been done previously 34. Instead, we defined the deprivation effect as an increase in drinking compared to baseline. It is also important to note that prior EtOH exposure may have influenced the results of subsequent control experiments assessing water and sucrose consumption.

Another potential limitation of this study is that the estrous cycle was not assessed in Sry− mice. Estrous phase is typically unrelated to EtOH consumption levels in freely cycling rodents 10,19,24,45,46, supporting other work demonstrating that gonadal hormone effects on EtOH consumption in females occur during development (i.e., are organizational rather than activational) 15,16,47,48. Further, because we averaged intake and preference for each concentration of EtOH over 5 sessions, there are unlikely to be influences of estrous on the 24-h, continuous drinking results. We cannot, however, exclude the possibility that estrous cycle phase influenced results from the re-exposure sessions. Complicating the issue is the fact that extended EtOH exposure can alter the estrous cycle 4951 and XY mice with ovaries stop cycling earlier in life than XX mice 25. A related consideration is that we do not have data on circulating hormone levels in the FCG mice. However, FCG mice with XX chromosomes are fully feminized and XY mice fully masculinized on a number of traits 27, and gonadal hormones levels have consistently been found to be similar in XX and XY FCG mice with the same type of gonads 52,53. Future studies in gonadectomized FCG mice will nevertheless be needed to fully resolve this issue as well as to confirm that the effects of gonadal hormones are organizational in nature.

A sex difference driven by sex chromosome complement may be due to genes on the Y chromosome, an extra dose of genes on the X chromosome in females, or paternal imprinting of X-linked genes 54,55. The mechanisms through which sex chromosomes influence EtOH drinking behaviors remain to be determined. Prior studies in the FCG mice have uncovered a role for sex chromosomes in the development of habit formation 32,56, locomotor activation to cocaine 57, and in the density of tyrosine hydroxylase-expressing neurons in the midbrain 54,58 (though note that no effect on sucrose consumption was observed in the current study). It is thus possible that genes on the X and/or Y chromosomes produce sex differences in EtOH consumption, preference, relapse-like behavior, and/or habit formation via influences on the development of brain reward systems.

In sum, the current results confirm an involvement of gonadal hormones and highlight a currently underappreciated contribution of sex chromosomes in EtOH drinking behaviors. In addition to continued exploration of the mechanisms by which sex hormones facilitate EtOH drinking, it is critical that future studies begin to explore sex-specific genetic influences on these behaviors.

Acknowledgments:

This study was supported by NIH grants R15 AA027915 (AKR), F99 NS118727 (EAS), and R01 HD076125 (APA) and by the College of Arts and Sciences, the Office of Research for Undergraduates, and the Department of Psychology’s Broadening Undergraduate Research Participation in Behavioral Neuroscience program at Miami University. The authors would like to thank Kristen M. Schuh for assistance with behavioral experiments and Catherine Wasylyshyn for assistance with surgeries. The authors declare no conflicting interests in this work.

Data Availability Statement:

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  • 1.Alcohol Facts and Statistics. National Institute on Alcohol Abuse and Alcoholism. Published 10/2020. Accessed December 3, 2020. https://www.niaaa.nih.gov/publications/brochures-and-fact-sheets/alcohol-facts-and-statistics
  • 2.Grant BF, Chou SP, Saha TD, et al. Prevalence of 12-month alcohol use, high-risk drinking, and DSM-IV alcohol use disorder in the United States, 2001–2002 to 2012–2013: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. JAMA Psychiatry. 2017;74(9):911–923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Anglin MD, Hser YI, McGlothlin WH. Sex differences in addict careers. 2. Becoming addicted. Am J Drug Alcohol Abuse. 1987;13(1–2):59–71. [DOI] [PubMed] [Google Scholar]
  • 4.Plawecki MH, White K, Kosobud AEK, et al. Sex Differences in Motivation to Self-Administer Alcohol After 2 Weeks of Abstinence in Young-Adult Heavy Drinkers. Alcohol Clin Exp Res. 2018;42(10):1897–1908. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Anker JJ, Carroll ME. Females are more vulnerable to drug abuse than males: evidence from preclinical studies and the role of ovarian hormones. Curr Top Behav Neurosci. 2011;8:73–96. [DOI] [PubMed] [Google Scholar]
  • 6.Lancaster FE, Spiegel KS. Sex differences in pattern of drinking. Alcohol. 1992;9(5):415–420. [DOI] [PubMed] [Google Scholar]
  • 7.Juárez J, Barrios de Tomasi E. Sex differences in alcohol drinking patterns during forced and voluntary consumption in rats. Alcohol. 1999;19(1):15–22. [DOI] [PubMed] [Google Scholar]
  • 8.Middaugh LD, Kelley BM, Bandy ALE, McGroarty KK. Ethanol consumption by C57BL/6 mice: Influence of gender and procedural variables. Alcohol. 1999;17(3):175–183. [DOI] [PubMed] [Google Scholar]
  • 9.Sneddon EA, White RD, Radke AK. Sex Differences in Binge-Like and Aversion-Resistant Alcohol Drinking in C57 BL/6J Mice. Alcohol Clin Exp Res. 2019;43(2):243–249. [DOI] [PubMed] [Google Scholar]
  • 10.Fulenwider HD, Nennig SE, Price ME, Hafeez H, Schank JR. Sex Differences in Aversion-Resistant Ethanol Intake in Mice. Alcohol Alcohol. 2019;54(4):345–352. [DOI] [PubMed] [Google Scholar]
  • 11.Radke AK, Held IT, Sneddon EA, Riddle CA, Quinn JJ. Additive influences of acute early life stress and sex on vulnerability for aversion-resistant alcohol drinking. Addict Biol. 2019;14(February):1–10. [DOI] [PubMed] [Google Scholar]
  • 12.Sneddon EA, Ramsey OR, Thomas A, Radke AK. Increased Responding for Alcohol and Resistance to Aversion in Female Mice. Alcohol Clin Exp Res. Published online May 29, 2020. doi: 10.1111/acer.14384 [DOI] [PubMed] [Google Scholar]
  • 13.Martin CA, Mainous AG 3rd, Curry T, Martin D. Alcohol use in adolescent females: correlates with estradiol and testosterone. Am J Addict. 1999;8(1):9–14. [DOI] [PubMed] [Google Scholar]
  • 14.Muti P, Trevisan M, Micheli A, Krogh V, Bolelli G. Alcohol consumption and total estradiol in premenopausal women. Cancer Epidemiol. Published online 1998. https://cebp.aacrjournals.org/content/7/3/189.short [PubMed] [Google Scholar]
  • 15.Holzhauer CG, Wemm SE, Wulfert E, Cao ZT. Fluctuations in progesterone moderate the relationship between daily mood and alcohol use in young adult women. Addict Behav. 2020;101:106146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Almeida OF, Shoaib M, Deicke J, Fischer D, Darwish MH, Patchev VK. Gender differences in ethanol preference and ingestion in rats. The role of the gonadal steroid environment. J Clin Invest. 1998;101(12):2677–2685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Cailhol S, Mormède P. Sex and strain differences in ethanol drinking: Effects of gonadectomy. Alcohol Clin Exp Res. 2001;25(4):594–599. [PubMed] [Google Scholar]
  • 18.Torres OV, Walker EM, Beas BS, O’Dell LE. Female Rats Display Enhanced Rewarding Effects of Ethanol That Are Hormone Dependent. Alcohol Clin Exp Res. 2014;38(1):108–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ford MM, Eldridge JC, Samson HH. Ethanol consumption in the female Long–Evans rat. Alcohol. 2002;26(2):103–113. [DOI] [PubMed] [Google Scholar]
  • 20.Reid LD, Marinelli PW, Bennett SM, et al. One injection of estradiol valerate induces dramatic changes in rats’ intake of alcoholic beverages. Pharmacol Biochem Behav. 2002;72(3):601–616. [DOI] [PubMed] [Google Scholar]
  • 21.Reid ML, Hubbell CL, Reid LD. A pharmacological dose of estradiol can enhance appetites for alcoholic beverages. Pharmacol Biochem Behav. 2003;74(2):381–388. [DOI] [PubMed] [Google Scholar]
  • 22.Ford MM, Eldridge JC, Samson HH. Determination of an estradiol dose-response relationship in the modulation of ethanol intake. Alcohol Clin Exp Res. 2004;28(1):20–28. [DOI] [PubMed] [Google Scholar]
  • 23.Rajasingh J, Bord E, Qin G, et al. Enhanced voluntary alcohol consumption after estrogen supplementation negates estrogen-mediated vascular repair in ovariectomized mice. Endocrinology. 2007;148(8):3618–3624. [DOI] [PubMed] [Google Scholar]
  • 24.Satta R, Hilderbrand ER, Lasek AW. Ovarian Hormones Contribute to High Levels of Binge-Like Drinking by Female Mice. Alcohol Clin Exp Res. 2018;42(2):286–294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Hilderbrand ER, Lasek AW. Estradiol enhances ethanol reward in female mice through activation of ERα and ERβ. Horm Behav. 2018;98(December 2017):159–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Arnold AP, Chen X. What does the “four core genotypes” mouse model tell us about sex differences in the brain and other tissues? Front Neuroendocrinol. 2009;30(1):1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.De Vries GJ, Rissman EF, Simerly RB, et al. A model system for study of sex chromosome effects on sexually dimorphic neural and behavioral traits. J Neurosci. 2002;22(20):9005–9014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zechner U, Wilda M, Kehrer-Sawatzki H, Vogel W, Fundele R, Hameister H. A high density of X-linked genes for general cognitive ability: a run-away process shaping human evolution? Trends Genet. 2001;17(12):697–701. [DOI] [PubMed] [Google Scholar]
  • 29.Skaletsky H, Kuroda-Kawaguchi T, Minx PJ, et al. The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes. Nature. 2003;423(6942):825–837. [DOI] [PubMed] [Google Scholar]
  • 30.Arnold AP, Reue K, Eghbali M, et al. The importance of having two X chromosomes. Philosophical Transactions of the Royal Society B: Biological Sciences. 2016;371(1688):20150113. doi: 10.1098/rstb.2015.0113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Cox KH, Bonthuis PJ, Rissman EF. Mouse model systems to study sex chromosome genes and behavior: relevance to humans. Front Neuroendocrinol. 2014;35(4):405–419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Barker JM, Torregrossa MM, Arnold AP, Taylor JR. Dissociation of Genetic and Hormonal Influences on Sex Differences in Alcoholism-Related Behaviors. Journal of Neuroscience. 2010;30(27):9140–9144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Khisti RT, Wolstenholme J, Shelton KL, Miles MF. Characterization of the ethanol-deprivation effect in substrains of C57BL/6 mice. Alcohol. 2006;40(2):119–126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Melendez RI, Middaugh LD, Kalivas PW. Development of an alcohol deprivation and escalation effect in C57BL/6J mice. Alcohol Clin Exp Res. 2006;30(12):2017–2025. [DOI] [PubMed] [Google Scholar]
  • 35.Olejnik S, Algina J. Generalized eta and omega squared statistics: measures of effect size for some common research designs. Psychol Methods. 2003;8(4):434–447. [DOI] [PubMed] [Google Scholar]
  • 36.Morales M, McGinnis MM, McCool BA. Chronic ethanol exposure increases voluntary home cage intake in adult male, but not female, Long–Evans rats. Pharmacol Biochem Behav. 2015;139:67–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Li J, Chen P, Han X, et al. Differences between male and female rats in alcohol drinking, negative affects and neuronal activity after acute and prolonged abstinence. Int J Physiol Pathophysiol Pharmacol. 2019;11(4):163–176. [PMC free article] [PubMed] [Google Scholar]
  • 38.Tarttelin MF, Gorski RA. Variations in food and water intake in the normal and acyclic female rat. Physiol Behav. 1971;7(6):847–852. [DOI] [PubMed] [Google Scholar]
  • 39.Krause EG, Curtis KS, Davis LM, Stowe JR, Contreras RJ. Estrogen influences stimulated water intake by ovariectomized female rats. Physiol Behav. 2003;79(2):267–274. [DOI] [PubMed] [Google Scholar]
  • 40.Santollo J, Daniels D. Control of fluid intake by estrogens in the female rat: role of the hypothalamus. Front Syst Neurosci. 2015;9:25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Rodd ZA, Bell RL, Sable HJK, Murphy JM, McBride WJ. Recent advances in animal models of alcohol craving and relapse. Pharmacol Biochem Behav. 2004;79(3):439–450. [DOI] [PubMed] [Google Scholar]
  • 42.Vengeliene V, Bilbao A, Spanagel R. The alcohol deprivation effect model for studying relapse behavior: a comparison between rats and mice. Alcohol. 2014;48(3):313–320. [DOI] [PubMed] [Google Scholar]
  • 43.Füllgrabe MW, Vengeliene V, Spanagel R. Influence of age at drinking onset on the alcohol deprivation effect and stress-induced drinking in female rats. Pharmacol Biochem Behav. 2007;86(2):320–326. [DOI] [PubMed] [Google Scholar]
  • 44.Tambour S, Brown LL, Crabbe JC. Gender and age at drinking onset affect voluntary alcohol consumption but neither the alcohol deprivation effect nor the response to stress in mice. Alcohol Clin Exp Res. 2008;32(12):2100–2106. [DOI] [PubMed] [Google Scholar]
  • 45.Roberts AJ, Smith AD, Weiss F, Rivier C, Koob GF. Estrous cycle effects on operant responding for ethanol in female rats. Alcohol Clin Exp Res. 1998;22(7):1564–1569. [PubMed] [Google Scholar]
  • 46.Priddy BM, Carmack SA, Thomas LC, Vendruscolo JCM, Koob GF, Vendruscolo LF. Sex, strain, and estrous cycle influences on alcohol drinking in rats. Pharmacol Biochem Behav. 2017;152:61–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Radke AK, Sneddon EA, Monroe SC. Studying Sex Differences in Rodent Models of Addictive Behavior. Curr Protoc 2021;1(4):e119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Radke AK, Sneddon EA, Frasier RM, Hopf FW. Recent Perspectives on Sex Differences in Compulsion-Like and Binge Alcohol Drinking. Int J Mol Sci. 2021;22(7):3788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Eskay RL, Ryback RS, Goldman M, Majchrowicz E. Effect of chronic ethanol administration on plasma levels of LH and the estrous cycle in the female rat. Alcohol Clin Exp Res. 1981;5(2):204–206. [DOI] [PubMed] [Google Scholar]
  • 50.Sanchis R, Esquifino A, Guerri C. Chronic ethanol intake modifies estrous cyclicity and alters prolactin and LH levels. Pharmacol Biochem Behav. 1985;23(2):221–224. [DOI] [PubMed] [Google Scholar]
  • 51.Alfonso M, Durán R, Marcó J. Ethanol-induced alterations in gonadotrophins secretion during the estrous cycle of rats. Alcohol Alcohol. 1993;28(6):667–674. [PubMed] [Google Scholar]
  • 52.Burgoyne PS, Arnold AP. A primer on the use of mouse models for identifying direct sex chromosome effects that cause sex differences in non-gonadal tissues. Biol Sex Differ. 2016;7:68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Arnold AP. Mouse models for evaluating sex chromosome effects that cause sex differences in non-gonadal tissues. J Neuroendocrinol. 2009;21(4):377–386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Ngun TC, Ghahramani N, Sánchez FJ, Bocklandt S, Vilain E. The genetics of sex differences in brain and behavior. Front Neuroendocrinol. 2011;32(2):227–246. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Arnold AP. A general theory of sexual differentiation. J Neurosci Res. 2017;95(1–2):291–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Quinn JJ, Hitchcott PK, Umeda EA, Arnold AP, Taylor JR. Sex chromosome complement regulates habit formation. Nat Neurosci. 2007;10(11):1398–1400. [DOI] [PubMed] [Google Scholar]
  • 57.Martini M, Irvin JW, Lee CG, Lynch WJ, Rissman EF. Sex chromosome complement influences vulnerability to cocaine in mice. Horm Behav. 2020;125:104821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Carruth LL, Reisert I, Arnold AP. Sex chromosome genes directly affect brain sexual differentiation. Nat Neurosci. 2002;5(10):933–934. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

RESOURCES