Abstract
Alcohol addiction is a complex, uniquely human disease. Breaking addiction down into contributing endophenotypes enables its study in a variety of model systems. The Drosophila model system has been most often used to study alcohol sensitivity, tolerance, and physiological dependence. However, none of these endophenotypes can account for the near-permanent quality of the addicted state. It has been recently discussed that addictive drugs may hijack the learning-and-memory machinery to produce persistent behavioral changes. Learning and memory is amenable to experimental study, and provides us with a window into how alcohol affects higher-order mental functions that are likely to contribute compulsive drug use. Here, we review the Drosophila literature that links alcohol-related behaviors to learning and memory.
Introduction
Alcoholism is a serious health concern worldwide. In the United States, almost 4% of the population meet the criteria for alcohol addiction, and alcohol-related problems are estimated to cost more than 223 billion dollars per year [1, 2]. Unfortunately, the success rate of treatment is dismal. During the first year of treatment, two-thirds of individuals have bouts of heavy drinking [3], while the best three year average shows ~25% rate of recidivism [4]. Rational treatment of alcoholism is dependent on a clear understanding of the mechanics of alcohol addiction.
Addiction to alcohol involves changes that are understandable at the single cell level and also changes that are clearly emergent properties of complex networks of many neurons. In the clinical diagnosis of alcohol Dependence (a.k.a. alcohol addiction, alcoholism), an individual is expected to exhibit at least three of seven criteria [5]. Two criteria, tolerance and withdrawal symptoms, are clearly rooted in cellular adaptations to ethanol. The five remaining diagnostic attributes include compulsive ethanol consumption, obsessive desire for alcohol, spending too much time pursuing alcohol, neglecting social, recreational, or occupational activities, and continued alcohol use in spite of accumulating negative consequences. These latter five groups are clearly complex changes in behavior and are probably all emergent properties of a dysfunctional nervous system.
Behavioral responses to ethanol are highly conserved. In mammals and invertebrates, ethanol intoxication proceeds from stimulation to incoordination to sedation with increased dose. These can be followed by the appearance of functional-ethanol tolerance and physiological dependence. Ethanol tolerance is inducible ethanol resistance and in humans includes metabolic (pharmacokinetic) tolerance and functional (pharmacodynamic) tolerance. Functional tolerance of the nervous system is the earliest recognized neuronal plasticity change produced by ethanol. The cellular changes underlying functional tolerance have long been thought to overlap with the changes that produce withdrawal symptoms [6]. Symptoms of withdrawal are indicative of physiological dependence [7]. In Drosophila, a form of rapid ethanol tolerance and an ethanol withdrawal hyperexcitability phenotype have both been shown to share a common genetic basis - the involvement of the slo gene, which encodes the BK-type Ca2+-activated K+ channel [8].
The purpose of this review is to recap recent developments that demonstrate that the Drosophila model system and mammals share some of the higher-order ethanol responses that are linked to alcohol addiction. In general, genetic analysis in Drosophila is more advanced than in mammals. However, the primary value of this model system lies in the fact that Drosophila studies are exponentially cheaper and faster than genetic manipulation of mammals. Between Drosophila and mammals there is a strong and meaningful evolutionary concordance among the genes that underlie cellular activities of the nervous system. However, Drosophila and mammals show poor conservation of brain structures and neural circuitry. This suggests that the conservation of ethanol responses between Drosophila and humans arises because ethanol disrupts evolutionarily ancient attributes of neurons that are capable of adaptation.
Alcohol reward learning in the adult fly
It has been proposed that addiction is a type of pathological associative memory that is produced by the over-activation of a reward pathway [9]. The capacity to learn and remember are functionally and mechanistically conserved phenomena in the Animalia. The learning-addiction link in Drosophila is supported by a recent study in adult flies on the rewarding properties of ethanol. In this study (Figure 1), flies were able to form associations between an odor (CS) and an intoxicating level of ethanol vapor (US, internal ethanol ~6 mM). Following training, flies preferentially moved into a compartment that included the conditioned odor. This assay mimicked aspects of the conditioned place preference (CPP) assay commonly used to study rewarding drugs in rodents. Additionally, the expression of conditioned odor preference in Drosophila was dependent on dopamine signaling in the fly brain [10**]. The importance of dopamine signaling is a recurrent theme in addiction literature across many species. Here we also see another reccuring theme in the Drosophila alcohol literature—that the mushroom bodies, the brain structure most tightly associated with learning and memory in flies, is of critical importance in forming the memory of the association between an ethanol “reward” and a specific odor. Blocking mushroom-body signaling blocks the retrieval of this memory.
Shohat-Ophir et al. [11**] further examine the rewarding properties of ethanol by evaluating how ethanol reward relates to, and whether it is represented internally in the same way as, another natural reward (sex). In their study, reward appears to be encoded as elevated neuropeptide F (NPF) signaling. NPF is the fly homolog of mammalian neuropeptide Y, which has been linked to reward and ethanol behaviors in mammals [12, 13]. In flies, increased NPF signaling (produced by sexual satiation or transgenic overexpression) decreases the salience of an ethanol reward, while a deficit in NPF signaling (produced by sexual rejection or transgenic RNAi expression) increases the drive for other rewards, such as ethanol.
Alcohol-adapted larvae show cognitive alcohol dependence
In a recent study [14], we established the third instar larva of Drosophila melanogaster as an animal model for exploring the relationship between small doses of ethanol and associative learning. In this assay, an otherwise attractive odor (CS) is paired with a heat pulse (US) in three training trials over a 30 minute period. Untrained larvae will crawl to a spot of odorant in a petri dish. However, trained animals have learned to be repulsed by the odor and most of them avoid the odorant. It was shown that an internal ethanol concentration of ~7 mM ethanol, which did not affect heat sensitivity, odor sensitivity, or locomotion, would nevertheless disrupt this type of learning. These results are consistent with the idea that higher-order neural activites that are dependent on extensive neuronal interconnectivity, such as learning and memory, are more sensitive to the effects of ethanol than are the simpler neural functions underlying sensory input and motor activity.
Because we could isolate the effect of ethanol on learning and memory, we used this system to model cognitive ethanol tolerance and dependence [15**]. Drosophila larvae eat continuously, and they treat ethanol-laced food as palatable. As expected, when larvae consume 5% ethanol food for 1 hour, their capacity to learn plummets. However, chronically consuming ethanol food over a five-day period causes them to adapt to the point that the magnitude of learning is equivalent to that of ethanol-naive animals. This adaptation is chronic tolerance. In the ethanol-adapted larvae, it is the withholding of ethanol that impairs learning, while the capacity to learn is restored by ethanol reinstatement. Thus, chronic ethanol consumption has made the animals functionally dependent on ethanol for normal cognition. These effects occurred in larvae with internal ethanol concentrations equivalent to 0.05 to 0.08 BAC (10-17 mM). In a human, this level would be mildly intoxicating. Alcohol addiction is a disease of complex changes in behavior. The adaptations that affect larval learning might, in a human, contribute to cognitive changes that promote uncontrollable drinking. Thus, a mechanistic description of the changes produced by chronic ethanol in larvae is an important goal.
Mutations in learning and memory genes disrupt alcohol-related behaviors
Mutation studies have provided further evidence for a linkage between learning and memory genes and addiction. A long list of memory genes have been associated with alcohol sensitivity, functional tolerance, conditioned place preference, and drinking in flies (Table 1). One striking recent addition is a mutant allele of the Drosophila discs large 1 (dlg1) gene. The dlg1 gene encodes two proteins—DlgA and DlgS97. The human homolog of DlgA is the PSD-95 synaptic scaffolding protein and the DlgS97 product most closely resembles human SAP97. Maiya et al. [16**] identified a new mutant allele of dlg1, generated by P element mutagenesis, based on a reduced capacity of the mutant to display rapid ethanol tolerance. This allele, called dlg1intol, eliminates expression of the DlgS97 splice variant. The SAP97, NMDAR, and CASK proteins have all been shown to interact and to have roles in learning and memory, long-term potentiation (LTP), or long-term depression (LTD) [17, 18]. DlgS97 protein was shown to co-immunoprecipitate with the fly NMDA receptors and is also thought to bind the Caki/Camguk protein (homolog of human CASK). In flies, mutations in any one of these genes impede the production of ethanol rapid tolerance. This study also showed that mutant analysis of the role of DlgS97 in an ethanol response was predictive of the consequence of a reduction in SAP97 expression in mice. As for DlgS97 in flies, a loss of SAP97 expression in mice caused the mice to be unable to acquire rapid ethanol tolerance in a loss-of-righting-reflex assay.
Table 1.
Gene | Protein | Function | Alcohol Phenotype |
---|---|---|---|
amncheapdate [29] | PACAP | cAMP Pathway | S |
aru [30] | Eps8 | EGFR Pathway | S |
dco [31] | PKA | Kinase | S |
dlg1 [16] | PSD-95 & SAP97 | Synaptic Scaffolding | T |
DopR [32] | Dopamine D1 Receptor | Dopamine Signaling | S |
Egfr [33] | EGFR | EGFR Pathway | S |
exbakrasavietz [34, 35] | Initiation Factor 5C | Translation Regulation | S, T, D |
fas2 [36] | Fasciclin 2 | Cell Adhesion | S |
homer [37] | Homer | Postsynaptic Scaffolding | S, T |
KCNQ [38] | KCNQ | Synaptic Transmission | S, T |
klgruslan [35] | Klg | Axon Guidance? | T |
Nmdar1 [10] | dNR1 | Synaptic Transmission | CPP |
npf [11, 39] | NPF | Neuropeptide Signaling | S, CPP |
pummilord-1 [35] | Pum | Translation Regulation | T |
pxbbaika [35] | Pxb | Axon Guidance? | T |
RhoGAP18B [40] | RhoGAP18B | Rho GTPase Regulation | S |
rhoiks [35] | Rho | Developmental | T |
rut [29] | Adenylate Cylase | cAMP Pathway | S |
sca [10] | Notch Pathway | Notch Pathway | CPP |
scb, mys [41] | α, β Integrin | Cell Adhesion | T |
Sir2 [42] | Sir2 | HDAC Activity | S, T |
Syn [43] | Synapsin | Presynaptic Scaffolding | T |
Tbh [44] | Octopamine | Octopamine Signaling | T |
TH [10, 45] | Dopamine | Dopamine Signaling | S, CPP |
Thoughts and Conclusions
One particularly vexing aspect of addiction is the persistent nature of the disease. The addicted state persists beyond the period of functional tolerance, physiological dependence, and the manifestation of withdrawal symptoms that are precipitated by abstention. The idea that addictive drugs co-opt the learning-and-memory machinery to produce the long-lasting addictive state is attractive. Addiction has been proposed to represent maladaptive associative learning, in which the drug hyperactivates brain reward pathways and results in overlearning that rapidly transitions from mild associative conditioning to habit [9]. However, there exists a generally recognized contradiction. The negative effect of ethanol on learning has been well documented in both hippocampal and cortical LTP studies and behavioral assays [19, 20]. Therefore, how can ethanol result in overlearning to the point of pathology if acute or chronic ethanol intoxication results in a depression in the capacity for learning and memory?
Recently, Bernier et al. [21**] addressed this question in a study of the effects of ethanol on LTP in the mouse ventral tegmental area (VTA), a mammalian structure that is strongly implicated in drug addiction. This group used an LTP protocol that closely replicates the stimulation experienced during reward-based learning. They observed that chronic intermittent ethanol facilitates the inducibility of activity-dependent plasticity in the VTA. This type of change is considered an example of metaplasticity, which is a higher order modulation of the capacity for LTP. This novel response to ethanol might be a reflection of the novel LTP induction protocol employed, or it might mean that cellular learning in the VTA responds to ethanol in an manner opposite to other parts of the brain. The latter interpretation is supported by behavioral experiments showing that ethanol experience inhibits most forms of rodent associative learning but enhances cocaine CPP, which involves the VTA [21**, 22].
We propose that the reason ethanol responses are so tightly conserved between mammals and invertebrates is because the list of functionally relevant ethanol targets include some evolutionarily ancient cellular mechanisms. A recent addition to this list are the enzymes that modulate histone acetylation—a target that is linked to both functional tolerance and withdrawal in mammals [23] and one that could be an additional point of unification for ethanol responses and the learning-and-memory machinery. Over the last 10 years, the learning and memory field has accumulated substantial evidence that histone acetylation (and other epigenetic modifications) contribute to the formation of long-term memory [reviewed in 24]. It has been shown that different types of learning can produce different patterns of histone acetylation [25]. This is remarkable for a modification that was relatively recently considered generic and uninteresting. Ethanol exposure, in turn, has been shown to potently increase histone acetylation in the brain. While there is some disagreement concerning how the increase is produced, there is evidence that a metabolite of ethanol (probably acetate) is responsible [26-28].
Much of the recent alcoholism research in Drosophila has focused on the development and characterization of fly behavioral assays that are already well established in mammalian model systems. This is necessary because Drosophila has only more recently become an alcoholism model system. The conservation of behavioral responses to ethanol has to this point been impressively high. Not only are the adaptive responses of tolerance and dependence conserved but there is evidence of similar interactions between ethanol and the reward-and-learning mechanisms in flies and mammals. The novel genetic tools available in Drosophila will allow questions to be addressed in ways that are not possible or perhaps not practical with a mammalian model system. The diminutive fruit fly is becoming invaluable in the discovery of the mechanisms leading to alcohol addiction.
Highlights.
-Alcohol addiction may involve hijacking of the learning and memory machinery.
-Higher-order aspects of addiction have recently been modeled in Drosophila.
-The genes involved in learning and memory overlap with alcohol-related genes.
-Economical Drosophila genetics can contribute to higher-order addiction research.
Acknowledgments
We would like to thank Dr. Morikawa and members of the NSA laboratory for valuable insights while writing this manuscript. We also thank Dr. Sukant Khurana for assistance with graphical design and Jane Kirschman for copyediting.
Funding Sources: This work was supported by National Institute of Health Grant R01AA018037 to NSA and T32AA007471 awarded to BGR.
Footnotes
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