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The development of alcohol use problems, including alcoholism, is influenced by multiple genes (i.e., what we inherit), the environment (i.e., where and how we live), and interactions between the two. Defining precisely which genes and environmental factors are involved and how they interact in the development of alcohol use problems are complex tasks. Fortunately, a number of major technological advances are helping investigators make significant progress toward this goal. The alcoholism-related interactions explored in this issue of Alcohol Alert occur within settings ranging from brain cells to city streets.
After its release, a neurotransmitter crosses the synapse and activates a receptor protein in the receiving neuron. Activating a receptor can cause the receiving neuron to change or adapt. Prolonged or repeated exposure to alcohol can cause such changes in neurons that in susceptible people can lead to the development of alcoholism. Adaptation to the presence of alcohol is also thought to underlie such phenomena as tolerance, withdrawal, and the persistent craving for alcohol that has been postulated to provoke relapse.
Measuring Neuronal Activity
The communication between neurons creates electrical activity. Groups of neurons with similar functions extend from one brain region to another, forming neural circuits. Circuits interact with one another to integrate the functions of the brain, including complex emotional, cognitive, and motivational processes. To understand the link between alcohol use and these complex processes, alcohol researchers needed a way to relate the chemistry of individual neurons to the integrated activity of neuronal circuits. A recent approach to the problem involves the simultaneous measurement of electrical activity within selected neuronal circuits. This technique has been used in both rats and humans. For example, in a preliminary study, Woodward and colleagues (1) used this technique to trace the sequence of neuronal activity in rats as they responded to the presence of alcohol. This technique has also been applied to human studies using electroencephalography (EEG). Researchers have identified at least three brainwave patterns with EEG that have been associated with alcoholism and which may help experimenters identify people at increased risk (2-6).
In search for the genes for alcoholism, alcohol investigators are taking full advantage of the new genetic engineering techniques. For example, researchers can inactivate, or knock out, a gene, creating a line of mice that lack a particular receptor or other protein thought to influence a specific genetic trait. Conversely, scientists can insert an additional gene into an animal's genetic material (8,9). Animals with an added gene are called transgenic. The response of the genetically engineered animal to alcohol can be compared with that of a genetically unaltered animal to help determine the role of the gene in mediating a particular alcohol-induced behavior (e.g., incoordination) (10,11).
Of the many different knockouts, at least three have implicated brain proteins involved in high alcohol preference in mice (12-14). Knockout (15-17) and transgenic (15,18) experiments also have implicated some of the same receptors and brain proteins in both sensitivity and preference to alcohol. In the animal experiments, mice that initially display high resistance (i.e., are less sensitive) to alcohol-induced sedation usually develop a high preference for alcohol consumption. These laboratory findings are consistent with Schuckit's (19) observation that low sensitivity to alcohol may predict future development of alcoholism. If these results are confirmed in humans, they may provide a means to help identify high-risk youth for targeted intervention programs.
The use of microarrays is another powerful new technology in alcoholism research. This technique permits the simultaneous study of many genes and provides scientists with new power to understand changes in gene expression that relate to the vulnerability to developing alcoholism. The long-term adaptation of the brain's neurons to alcohol may result, in part, from changes in gene function (20). Genes direct the synthesis of proteins, such as receptors. A gene's level of activity, therefore, can be used to obtain indirect information about its proteins.
Because alcohol is known to affect gene-induced protein production (i.e., gene expression) (21), levels of genetic activity can be tracked to determine how genes associated with an alcohol-induced effect are expressed. Tracking the activity of a single gene takes time; given the large number of genes that may be involved in producing alcohol's effects, the task of linking specific genes to specific effects might be formidable. However, by using microarrays, alcohol scientists can track up to 10,000 selected genes simultaneously. In this approach, the genes of interest are affixed to a glass slide, silicon chip, or similar surface--often as small as a postage stamp--forming a so-called microarray. An automated operating system scans the microarray and can calculate the relative expression levels of up to 10,000 selected genes simultaneously (22). As more alcoholism researchers begin to employ this procedure, it may become possible to identify virtually every gene and its protein that play a significant role in alcohol-related behavior.
Geocoding: Mapping Environmental Influences in Drinking Behavior
The problems caused by alcohol are influenced by a variety of cultural, demographic, and social factors that may differ significantly between geographic areas (29,30). Geocoding is the process of associating descriptive data to fixed geographic points for the purpose of correlating events with where and when they take place (30). For example, Gruenewald and colleagues (31) used geocoding to relate the availability of alcohol in different communities to local rates of single-vehicle nighttime crashes, a measure thought to reflect rates of drinking and driving. Major advances in computer science now permit the results of geocoding to be analyzed statistically and displayed clearly in maps that can be linked to data available from the U.S. Bureau of the Census and other sources (31). As research in this area matures, alcohol-related geocoding research could become an useful guide to social policy.
From Genes to Geography: The Cutting Edge of Alcohol Research-A Commentary by NIAAA Director Enoch Gordis, M.D.
The advances described in this Alcohol Alert offer a glimpse of the way in which cutting-edge technology is being used by alcohol scientists to undertake complex studies more quickly and with greater efficiency. We share this glimpse with our readers for two important reasons. First, much of what we have learned in recent years about alcohol and the brain and the genetic basis of alcohol dependency would not have even been possible without the type of technological capability available to scientists today. The more we understand about the mechanisms of dependence, the more likely it is that we can design effective prevention and treatment. Second, many of us tend to think of technology only in terms of basic research. However, it is equally important to understand that technology also contributes to other important arenas of the alcohol use problems field, such as policy analysis, prevention planning, and clinical practice.
The National Institute on Alcohol Abuse and Alcoholism wishes to acknowledge the following individuals who have contributed their time and expertise to the development of the Alcohol Alert series during the past 2 years: John Doria; Mary Dufour, M.D., M.P.H.; Michael Eckardt, Ph.D.; Richard Fuller, M.D.; David Goldman, M.D.; Brenda Hewitt; Daniel Hommer, M.D.; William Lands, Ph.D.; Susan Martin, Ph.D.; Diane Miller; Antonio Noronha, Ph.D.; Eve Shapiro; Kenneth Warren, Ph.D.; Dianne Welsh; Ellen Witt, Ph.D.; and Sam Zakhari, Ph.D.
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