Microstructural analysis of rat ethanol and water drinking patterns using a modified operant self-administration model
Introduction
Operant self-administration has served for decades as a valuable tool in evaluating mechanisms underlying the drive to seek out and consume ethanol. Many operant studies examine components of ethanol directed behaviors through a focus on the total amount of ethanol consumed [1], [2] and appetitive responses performed, such as lever presses or nose-pokes [3], [4], [5]. Though such measures remain critical components in alcohol research, the specific patterns of ethanol intake have also emerged as important factors. For example, individual drinking patterns are potent indicators for the development and maintenance of alcohol abuse-like behaviors in both humans [6], [7], [8] and non-human primate models [9]. In the most general terms, patterns of consumption across the short term, such as individual days or hours, consist of frequency of drinking events (“wanting” of ethanol) and amount consumed per each event (“liking” of ethanol) [10]. These patterns can be evaluated over weeks to months or years as in human studies; but, potential pharmacotherapies typically act to reduce long-term ethanol intake through alteration of one or both of these short-term components. The short-term consumption patterns during these individual drinking sessions thus underlie the long-term intake patterns which emerge during periods of abuse and relapse. That consumption pattern within individual drinking sessions can impact therapeutic efficacy of treatments for alcohol use disorders in humans [11] adds further importance to understanding the neural mechanisms which underlie this pattern. Thus, evaluation of short-term ethanol drinking patterns within rodent self-administration has reemerged as an area of active interest in basic research [12], [13], [14], [15], [16], [17], [18], [19], [20], [21].
In rodents, total liquid intake is broken into temporally distinct clusters of licks, termed licking ‘bouts.’ Individual rats may consume identical volumes of liquid but differ significantly with respect to moment-by-moment patterns (microstructure) that are related to the “wanting” (bout number and time between individual bouts (interbout-interval)) and “liking” (bout size, bout duration, intrabout licking rate) of the substance [22]. This drinking microstructure can reflect the relative hedonic value of the liquid, its caloric value, prior experiences (either positive or negative) with the substance, post-ingestive feedback from the gut, and the physiological state of the animal [22], [23], [24], [25], [26], [27], [28]. For highly palatable, hedonically valuable solutions like sucrose, a monotonic relationship exists between concentration and bout size [29], which contrasts with the typical inverted U-shaped relationship found between increasing concentrations and total intake volume [30]. An inverse relationship in bout size occurs in consumption of aversive substances like quinine (bitter taste) [27]. Additionally, even the rate and pattern of individual licks within a bout of consumption reflect this complex hedonic evaluation or relative “liking” of the substance. For example, the induction of conditioned taste aversion results in increasing amounts of a slower, ‘hesitant’ licking behavior characterized by long pauses between licks [26]. Drinking microstructure has most frequently been assessed during limited access (10–120 min), but importantly these relationships have been demonstrated over periods of up to 23 h access [31]. Thus, the analysis of drinking microstructure provides unique insights into specific components of consumption related to both “wanting” and the shifting hedonic values or “liking” for a substance. Further, as sucrose-directed licking microstructure has been shown to undergo distinct alterations following administration of a D2 or D1 antagonist [32], analysis of this pattern may also eventually contribute to understanding the relative contribution of distinct neurobiological mechanisms to specific components of ethanol intake.
Previous work has demonstrated treatment specific effects on ethanol bout frequency and structure using non-operant models of self-administration and operant models that procedurally separate appetitive (lever press) and consummatory behaviors [17], [18], [19], [21], [33], [34], [35], [36], [37], [38], [39], [40]. However, concurrent evaluation of ethanol and water drinking microstructure at the millisecond level paired with an ongoing seeking component has not been performed. The concurrent analysis of total intake, appetitive behavior, and consummatory microstructure is of value in the full examination of neural mechanisms regulating interactions between ethanol seeking, evaluation, and consumption. A fixed ratio operant self-administration session is composed of a series of distinct periods of consumption, each unambiguously initiated by an appetitive response. As these consummatory periods are typically restricted by experimental design to a limited access period/amount of liquid following a response, the precise pattern of consumption as it relates to each seeking action cannot be evaluated within a typical operant session. We sought to address this limitation through modification of a classic FR1 operant procedure to allow for uninterrupted liquid access until a pause in licking behavior (selected based upon previous microstructural work within rats [25]) terminated the consummatory bout. The intake pattern was assessed for both ethanol and water during initial introduction to ethanol self-administration and following pharmacological manipulations previously demonstrated to significantly alter total ethanol consumption in opposing directions. As ethanol and water drinking patterns have been previously reported as most obviously distinct in the first 4–6 h of self-administration [12], we further sought to evaluate if the pattern of appetitive and consummatory behaviors changed over time through use of a prolonged 6 h session. Our microstructural analysis of ethanol drinking reveals unique outcomes associated with both chronic ethanol exposure and endocannabinoid receptor modulation.
Section snippets
Animals
Adult male Long–Evans rats weighing 200 g at arrival (7–8 weeks old) were purchased from a commercial supplier (Harlan Laboratories, Indianapolis, IN). A total of 16 animals were used. Animals were housed in groups of 4 on a reverse light/dark cycle (lights off at 9 am) under standard conditions. Animals were habituated to housing environment for one week before initiation of behavioral testing and were handled and weighed daily throughout the study. Rodent chow and tap water remained available ad
Baseline relationships between total intake and bout number/size
The relationship between total intake and bout number and size at baseline were assessed for both ethanol and water. Total ethanol licks did not correlate with the number of bouts (r2 = 0.14; p > .05) (Fig. 1a), but rather with mean bout size (r2 = 0.83; p < .001) (Fig. 1b). Notably, there was no relationship between ethanol bout number and size (r2 = 0.001; p > .05) (Fig. 1c). Water consumption exhibited a pattern of relationships that contrasted with ethanol. Total water licks significantly correlated
Discussion
The main aim of these studies was to evaluate the drinking microstructure associated with ethanol consumption on the level of individual licks using an extended-duration, operant ‘choice’ paradigm. At baseline, total intake of ethanol and water correlated with distinct aspects of behavior. These results are consistent with several previous studies showing that changes in total ethanol consumption do not necessarily occur alongside changes in bout number [18], [33], [34], [35] and may indicate
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2020, European Journal of PharmacologyCitation Excerpt :In contrast, the dose of 1 mg/kg resulted in a reduction of this measure which was apparent at the beginning of the session (Fig. 2B), suggesting the possibility of reduced “wanting” (D'Aquila and Galistu, 2017). Thus, the present results show consistency with previous studies suggesting the involvement of CB1 receptors both in “liking” (Higgs et al., 2003; Robinson and McCool, 2015; Sanchis-Segura et al., 2004) and in “wanting” (Grey et al., 2012; Higgs et al., 2005; Thornton-Jones et al., 2007). Further support to the interpretation of the effect of rimonabant (also) in terms of anhedonia comes from the analysis of the within-session time-course of burst number with HU-210 in the background of rimonabant treatment (1 mg/kg).
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