The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
Regular ArticleFull Access

Behavioral Disinhibition Induced by Tryptophan Depletion in Nonalcoholic Young Men With Multigenerational Family Histories of Paternal Alcoholism

Published Online:https://doi.org/10.1176/ajp.156.11.1771

Abstract

OBJECTIVE: A deficit in serotonergic neurotransmission has been linked to impulsive behavior, as well as to disorders characterized by disinhibition. The present study tested the hypothesis that young men at high risk for alcoholism demonstrate greater behavioral disinhibition after acute dietary depletion of tryptophan, the amino acid precursor of serotonin. METHOD: A double-blind, placebo-comparison, between-subjects study design was used. Nonalcoholic young men with a multigenerational paternal family history of alcoholism (N=13) or with no family history of alcoholism (N=15) in two previous generations were administered mixtures of tryptophan-deficient amino acid to achieve plasma tryptophan depletion. Comparison subjects with a multigenerational paternal family history of alcoholism (N=11) and comparison subjects with no family history of alcoholism (N=18) were given a balanced mixture. Five hours after this, all were tested on a modified Taylor task and a go/no-go task measuring aggressive response and disinhibition, respectively. RESULTS: Plasma tryptophan levels were reduced by 89% in both groups. Tryptophan depletion had no effect on aggressive response. In contrast, tryptophan-depleted individuals with a family history of alcoholism made more commission errors (responses to stimuli associated with punishment or loss of reward) than did tryptophan-depleted individuals with no family history of alcoholism and those receiving the balanced (comparison) mixture of amino acid in either group. CONCLUSIONS: Low serotonin levels may be implicated in the high disinhibition or impulsivity observed in some individuals with a genetic vulnerability to alcohol abuse or dependence.

An important physiological role of the neurotransmitter serotonin (5-HT) is behavioral inhibition. Animal and human studies demonstrate that increasing central 5-HT function inhibits aggression (1, 2); conversely, low 5-HT neurotransmission is associated with impulsive aggressive behavior in rodents, primates, and humans (1, 35). Indeed, evidence of low 5-HT neurotransmission has been reported to be involved in the etiology of several disorders characterized by behavioral disinhibition, including alcohol abuse or dependence (6), suicide (7), bulimia (8), antisocial personality disorder (9), conduct disorder (10), and aggression (11).

Most evidence supporting the relationship between low 5-HT neurotransmission and impulsivity in humans is correlational. In the present study, we sought to investigate the direct consequences of an experimental lowering of central nervous system 5-HT on impulse control and aggressive response in a group of young adults prone to antisocial and/or impulsive or aggressive behavior: nonalcoholic young men with family histories of alcoholism. The study of these individuals avoided confounding the long-term effects of alcohol on serotonergic neurotransmission (inherent in the study of alcoholics). Men with a multigenerational paternal family history of alcoholism are at a high risk for alcoholism (12), as well as impulsive behavior and conduct disorder (13, 14; see reference 15 for a review).

Some alcoholics, particularly those with early-onset alcoholism, have lower levels of the 5-HT metabolite 5-hydroxyindoleacetic acid (5-HIAA) in their CSF (16, 17) and a greater behavioral sensitivity to the 5-HT agonist m-chlorophenylpiperazine (18). These individuals may be Cloninger’s type-2 alcoholics, a relatively rare but highly heritable male-limited subtype of alcoholism that is characterized by an early onset of moderate alcohol abuse, regardless of external environment, and frequent criminality (19, 20). Low CSF 5-HIAA is also associated with a paternal family history of alcoholism in impulsive, violent offenders and fire setters (21, 22), which suggests the existence of a low 5-HT trait in some of these families.

One method for studying 5-HT function in humans is the acute tryptophan-depletion technique. Par­ticipants ingest an amino acid mixture containing all of the essential amino acids except tryptophan or a nutritionally balanced mixture containing tryptophan. ­Recent data suggest that acute tryptophan depletion ­reduces human CSF 5-HIAA during continuous sampling (23) and lowers brain 5-HT synthesis by approximately 90% (24).

The present study was designed to test the hypothesis that acute tryptophan depletion would induce behavioral disinhibition and increase aggressive response in men with a multigenerational paternal family history of alcoholism relative to age- and sex-matched comparison subjects. Disinhibition was measured by commission errors in a go/no-go learning task. A modified Taylor aggression task was used to quantify aggression. A heightened sensitivity to behavioral disinhibition in response to a decrease in serotonergic neurotransmission could serve as a vulnerability marker for impulsivity and other disorders of disinhibition (aggression, alcoholism) in this population and be useful for future longitudinal studies investigating serotonergic markers in relation to outcome prediction.

METHOD

Selection of Participants and Baseline Testing

Men, age 18 to 25 years, were recruited through local newspaper advertisements. An initial telephone screen excluded those with significant present or past alcohol abuse or dependence, evidence of a present DSM-III-R axis I diagnosis, significant medical illness, or little knowledge of their biological families. After subjects passed this screen, the study was described, and written informed consent was obtained. These subjects underwent the Structured Clinical Interview for DSM-III-R (SCID)—Non-Patient Version (25) and the Family History Assessment Module (26). If necessary, participants were asked to contact family members to obtain further information. The Family History Research Diagnostic Criteria (27, 28) were used to make retrospective diagnoses of alcoholism in family members up to second-degree relatives. This method has a satisfactory specificity for alcoholism in first-degree relatives but is less sensitive than direct interviews (29, 30).

The inclusion criterion for individuals at risk for alcoholism was a multigenerational family history of paternal alcoholism, as defined by at least two male alcoholics on the father’s side of the family in two different generations. The inclusion criterion for individuals at low risk for alcoholism was the absence of documented cases of alcoholism in all known first-, second-, and third-degree relatives. Individuals with no family history of alcoholism who had multigenerational family histories of any other axis I disorder were excluded from the study.

Individuals with abnormal ECGs were excluded from the Taylor aggression task. Seven subtests of the WAIS-R (31) (information, arithmetic, similarities, picture completion, digit span, block design, and digit symbol) were used to estimate IQ (32). This IQ estimate is highly correlated with WAIS-R full-scale IQs in psychiatric inpatients (33).

A modified Personal Drinking Habits Questionnaire (34) (including questions concerning nicotine and drug use) estimated current alcohol and drug use; a caffeine intake survey assessed weekly caffeine intake (35, 36), and the Michigan Alcoholism Screening Test (MAST) (37) assessed possible consequences of excessive alcohol intake. The Beck Depression Inventory (38) provided a baseline measure of depressed mood.

Amino Acid Administration

On the day preceding a test day, participants ate a low-protein diet (39) and were asked to abstain from alcohol and illegal drug use. On the test day, fasting participants completed the Beck Depression Inventory (38), the Profile of Mood States (POMS) (40), the Visual Analogue Mood Scale (41), and the state version of the State-Trait Anxiety Inventory (42); produced a urine sample to screen for drugs of abuse (by means of the triage panel from Biosite Diagnostics); and provided a blood sample for the measurement of tryptophan levels. The participants received either a tryptophan-free (13 participants with a multigenerational paternal family history of alcoholism and 15 participants with no family history of alcoholism) or a nutritionally balanced amino acid mixture (11 subjects with a multigenerational paternal family history of alcoholism and 18 subjects with no family history of alcoholism) amino acid mixture in a between-subjects, double-blind study. The exact procedure of amino acid administration has been described previously (39, 43). For both groups with and without a multigenerational paternal family history of alcoholism, the administration of amino acid treatments was randomly assigned in blocks of 10.

For the next 4.25 hours, participants read magazines, watched television, or watched movies (all confined to relatively affectively neutral material). They drank water without restriction and could smoke a limited amount if they desired. No sleeping was allowed.

Modified Taylor Aggression Task

Participants performed the Taylor aggression task (44, 45) to measure aggressive response in the laboratory. Initially, each participant’s pain threshold was determined by presenting a series of increasing shocks. The task itself was introduced as a competitive reaction-time task. Each participant was instructed to first select a shock level on a panel of eight buttons in front of him to deliver to his opponent should he win the reaction-time trial, each numbered consecutively from one to eight. Following the reaction-time trial, the participant was informed of the opponent’s shock choice by the appearance of one of eight red lights on the panel above each numbered button. The appearance of lights five to eight signified a loss, after which the participant received a shock. Shock levels one to eight increased linearly from 15% to 100% of the person’s given pain threshold. Lights one to four signified a win, and the participant administered the previously chosen shock intensity to his opponent by pressing a button. Participants could monitor shock administrations to their opponents by using a direct-current ammeter to their immediate left. After receiving these instructions, the participants viewed, on a television connected to a videocassette recorder in the adjacent room, a prerecorded videotape of a fictitious opponent receiving the same instructions. This tape served to review the instructions, reinforce the nature of the competition, and present the situation more realistically.

The task consisted of 26 consecutive trials; the first half were under low provocation (shocks administered to the participant ranged in strength from one to four), and the second half were under high provocation (shocks ranged from five to eight). The order of wins and losses and the opponent’s shock choices within the provocation blocks were randomly selected by the computer. All participants received three shocks at each level; they alternately won one trial and lost two trials or won two trials and lost one trial. Participants won and lost half of the trials in both provocation conditions. Dependent variables included the shock intensity chosen before each reaction-time trial, the shock duration and latency to shock delivery on those trials in which the participant administered a shock to his opponent, and the reaction time to the stimulus-by-provocation level (low and high). The first shock intensity, chosen before the first reaction time test, was analyzed separately as a measure of unprovoked aggression.

Go/No-Go Learning Task

After the Taylor task, participants were administered the go/no-go discrimination task (46, 47). Participants learned by trial and error to press a button for “active” stimuli and not to press for “passive” stimuli. Stimuli consisted of eight two-digit numbers (four active, four passive, which ranged from 03–99) repeated 10 times in different, randomly assigned orders for 80 total trials. Four different sets of eight numbers were employed (one per condition). Correct responses were rewarded with a high-pitched tone, presentation of the word “Correct” on the computer screen, and the addition of 10 cents to an on-screen running tally of the participant’s earnings. Incorrect responses were punished by a low-pitched tone, presentation of the word “Wrong,” and subtraction of 10 cents from the participant’s earnings.

All participants completed four conditions. In the reward-punishment condition, participants began with $1.00. Responses to active numbers were reinforced, and responses to passive numbers were punished. In the punishment-only condition, participants began with $4.00. Responses to passive numbers and nonresponses to active numbers were punished. In the reward-only condition, participants started with no money. Responses to active numbers and nonresponses to passive numbers were rewarded. In the punishment-­reward condition (48), participants began with $1.00; nonresponses to active numbers were punished, and nonresponses to passive numbers were rewarded (see table 2 in reference 48). Each condition was preceded by a 12-trial reward pretreatment in which the ratio of active to passive numbers was 2:1. This pretreatment hypothetically served to establish a dominant response set for reward (47, 49).

Participants were given instructions for the go/no-go task, the reinforcement contingencies, and the process of trial-and-error learning. With the experimenter (D.G.L. or a research assistant) present, they completed eight practice trials that involved four presentations of each of two practice stimuli (01 as an active number and 02 as a passive number). The experimenter was not present during the testing. Participants were randomly assigned to one of the 24 possible orders of presentation of the four conditions. The experimenter reentered the room between conditions to explain the demands of the next condition. Dependent measures for this task included commission errors (failures to inhibit responses to passive numbers) and omission errors (failures to respond to active numbers).

Participants completed a short interview to verify the success of the Taylor task deception. The experimenter rated the degree to which each participant was deceived, and he was encouraged to voice his feelings concerning the deception. Next, participants were given a high-protein snack and a 1-g l-tryptophan tablet to normalize plasma tryptophan levels (if the individual was tryptophan depleted) or to maintain the double-blind status of the study (if the ­individual received the balanced mixture). The tryptophan preparation that was used is available by prescription in Canada and has not been associated with eosinophilia-myalgia syndrome (50). Each participant was debriefed regarding the procedure and provided with a detailed information sheet.

Determination of Plasma Tryptophan Concentrations

Plasma-free and total tryptophan levels were measured in blood samples before and 5 hours after acute tryptophan depletion (see reference 39).

Data Analysis

Variables were inspected by group for normality, homogeneity of variance, and outliers. Appropriate transformations were applied to correct for violations of these assumptions (51) and, where employed, are specified. Demographic characteristics of participants with and without a multigenerational paternal family history of alcoholism were compared by using t tests. Plasma-free tryptophan levels were analyzed by using a two-(risk=having or not having a multigenerational paternal family history of alcoholism) by-two-(treatment=tryptophan-free or balanced mixture) by-two (time=preconsumption or 5 hours post-amino-acid consumption), between-within analysis of variance (ANOVA). For the go/no-go discrimination task, an initial two-(risk) by-two-(treatment) by-four-(condition=reward punishment, punishment only, reward only, or punishment reward) by-two (type of error=omission error or commission error), between-within ANOVA on square root-corrected errors was followed by separate two-(risk) by-two-(treatment) by-four (condition), between-within ANOVAs on square root omission errors and commission errors. Dependent measures on the Taylor aggression task were analyzed by means of separate two-(risk) by-two-(treatment) by-two (provocation level=low or high), between-within ANOVAs. The mood data were analyzed by means of separate two-(risk) by-two-(treatment) by-two (time), between-within ANOVAs. Statistically significant interactions were further analyzed by means of simple interaction effects tests followed by pairwise comparisons by means of the Newman-Keuls procedure. Geisser-Greenhouse corrections were used for all main effects and interactions involving repeated measures. Multiple-regression analyses identified variables that significantly predicted commission errors.

Ethics

All participants provided written informed consent. The study was approved by the Research Ethics Board of the Department of Psychiatry, McGill University. Participants were compensated for lost time.

RESULTS

Demographic Data

Participants with and without a multigenerational paternal family history of alcoholism did not differ significantly on demographic measures, with the exception of (square root) MAST scores (t=–3.19, df=55, p<0.003) (table 1). Participants with a multigenerational paternal family history of alcoholism tended toward greater (inverse) smoking frequencies (t=1.95, df=39.76, p=0.06).

Groups differed, by definition, with respect to their family histories of paternal alcoholism but also according to their family histories of maternal alcoholism and major affective disorders. Three men with a multigenerational paternal family history of alcoholism met the criteria for past alcohol abuse, and one met the criteria for dependence for a 6-month period 3 years before testing. Two participants with a multigenerational paternal family history of alcoholism had past histories of major depression, one had a past history of major depression and substance dependence, and one had a past history of cannabis dependence.

Six men with no family history of alcoholism (three given the tryptophan-free and three given the balanced mixtures) and 13 men with a multigenerational paternal family history of alcoholism (eight given the tryptophan-free and five given the balanced mixtures) tested positive for recent use of tetrahydrocannabinol (THC) or amphetamines or both on the triage panel. The frequencies of participants who tested positive were not significantly different between the tryptophan-free and balanced-mixture conditions (χ2=0.88, df=1, p>0.05).

Five participants with a multigenerational paternal family history of alcoholism (four given the tryptophan-free and one given the balanced mixture) (p=0.22, Fisher’s exact test, one-tailed) and one participant with no family history of alcoholism (who was given the tryptophan-free mixture) vomited after amino acid administration, yet they completed the study. Substantial decreases in levels of total plasma and free tryptophan were noted in the participants with a multigenerational paternal family history of alcoholism after acute tryptophan depletion (mean=88.3% depletion of total tryptophan, 85.7% depletion of free tryptophan).

Analysis of Serum-Free and Total Tryptophan Levels

A highly significant treatment-by-time interaction was found for square root, plasma-free tryptophan concentrations (F=449.41, df=1, 53, p<0.0001) (table 2). The tryptophan-depleted amino acid mixture resulted in a decline in free and total plasma levels of tryptophan of 89% across groups.

Modified Taylor Aggression Task

One individual who was given a balanced mixture who had a multigenerational paternal family history of alcoholism did not participate in the Taylor task because of an abnormally short P-R interval on his ECG. Analysis of log pain threshold levels revealed a significant treatment main effect (F=6.99, df=1, 52, p=0.01). Pain thresholds were lower after ingestion of the tryptophan-free mixture (i.e., greater pain sensitivity) than after ingestion of the balanced mixture.

For the Taylor task itself, 12 individuals (three with no family history of alcoholism who were given the balanced mixture, one with a multigenerational paternal family history of alcoholism who was given the balanced mixture, four with no family of alcoholism who were given the tryptophan-free mixture, and four with a multigenerational paternal family history of alcoholism who were given the tryptophan-free mixture) were excluded from the following analyses because they were judged to have been either doubtful about the presence of their opponent or claimed not to have been deceived at all. Overall, acute tryptophan depletion did not affect aggressive response (shock intensity, duration, or latency to shock administration) in participants with a multigenerational paternal family history of alcoholism in relation to comparison subjects. There was, however, evidence that participants with a multigenerational paternal family history of alcoholism were more aggressive on the task than participants with no family history of alcoholism, because they chose higher shock levels on the first trial (unprovoked aggression) (F=4.06, df=1, 40, p=0.05) and significantly higher shock intensities than did men with no family history of alcoholism under low provocation (risk-by-provocation interaction, F=10.14, df=1, 40, p=0.003). This was contrasted by a significant treatment-by-provocation interaction on log latency to shock (F=4.37, df=1, 40, p=0.04). Under low provocation, latencies to shock were significantly greater in participants who were given the tryptophan-free mixture. Under high provocation, latencies to shock in both groups were significantly lower and not different in magnitude. The results of all analyses were similar when performed on the full group, which suggested that the degree of belief in the deception (as determined during the postexperimental interview) did not affect the results.

Go/No-Go Task

Omission and commission errors were summed across the eight groups of 10 trials within each condition. Errors within the 12-trial, reward pretreatment phase were not included because participants had to be exposed to the stimuli at least once in order to learn which were active and passive. An initial two-(risk) by-two-(treatment) by-four-(condition) by-two (type of error) ANOVA on square root omission errors and commission errors revealed a significant risk-by-treatment-by-error interaction (F=3.95, df=1, 53, p=0.05) (Figure 1).

Analysis of square root commission errors revealed a significant risk-by-treatment interaction (F=3.94, df=1, 53, p=0.05). Individuals with a multigenerational paternal family history of alcoholism who were given the tryptophan-free mixture made significantly more square root commission errors than did the group with no family history of alcoholism who was given the balanced mixture and the group with a multigenerational paternal family history of alcoholism who was given the balanced mixture and nearly significantly more than the group with no family history of alcoholism who was given the tryptophan-free mixture (group with a multigenerational paternal family history of alcoholism who was given the tryptophan-free mixture, mean=3.03, 95% confidence interval [CI]=2.34–3.72; group with a multigenerational paternal family history of alcoholism who was given the balanced mixture, mean=2.09, 95% CI=1.29–2.90; group with no family history of alcoholism who was given the tryptophan-free mixture, mean=2.06, 95% CI=1.49–2.62; group with no family history of alcoholism who was given the balanced mixture, mean=2.19, 95% CI=1.83–2.56). Effect sizes (differences between the means of the group with a multigenerational paternal family history of alcoholism who was given the tryptophan-free mixture and each of the other groups divided by respective pooled estimates of the population standard deviation) ranged from 0.81–0.91—large effect sizes according to Cohen (52). There was also a significant condition main effect (Geisser-Greenhouse F=4.15, df=2.94, 155.57, p=0.008). All participants made significantly more square root commission errors in the punishment-reward condition than in the punishment-only and reward-only conditions. There were no interactions involving the condition factor, which indicated that tryptophan-depleted participants with multigenerational paternal family histories of alcoholism made more square root commission errors than the other three groups across conditions. An analysis of square root omission errors revealed a significant condition main effect (Geisser-Greenhouse F=16.02, df=2.7, 143.13, p<0.0001). Participants made significantly more omission errors in the punishment-reward condition than in the other three conditions.

Changes in Mood

In general, significant treatment-by-time interactions were found on many of the mood variables (POMS scores, subscale scores on the Visual Analogue Mood Scale; state scores on the State-Trait Anxiety Inventory), with post hoc tests demonstrating significant increases in the negative mood state in the group who was given the tryptophan-free mixture from the pretreatment phase to 5 hours after consumption of amino acid, whereas the group who was given the balanced mixture showed either no change or a slight improvement in mood.

Variables Predicting Commission Errors

The presence of nausea or vomiting or both after amino acid consumption, a positive urine test for recent drug use, and amount of sleep during the 5-hour wait time were entered into an equation to predict average square root commission errors (i.e., square root commission errors averaged across the four go/no-go conditions). The regression equation was nonsignificant, with simple r2 values for the variables ranging from 0.005 to 0.02. Square root MAST scores and inverse current smoking frequencies failed to predict average square root commission errors. The presence of symptoms or diagnoses of alcohol or drug abuse or dependence, major depression, or anxiety disorders in the participants, coded from the SCID Non-Patient Version, failed to predict average square root commission errors, with simple r2 values again very low. Familial psychopathology, coded from the family history interviews (including a family history of paternal alcoholism, a family history of maternal alcoholism, familial drug abuse or dependence, familial depression, familial anxiety, and familial antisocial personality disorder) did not predict average square root commission errors. Separate regression analyses predicting average square root commission errors by using change (posttreatment minus pretreatment) scores for those POMS and Visual Analogue Mood Scale subscales in which acute tryptophan depletion effects were found did not reach ­significance.

DISCUSSION

The primary finding of this study, that acute tryptophan depletion increased commission errors on a passive-avoidance learning task in young men at risk for alcoholism, reflects increased behavioral disinhibition in response to an experimental lowering of serotonergic neurotransmission. This result supports the hypothesis that lowered serotonergic functioning may lead to increased impulsivity. This direct experimental evidence complements previous research demonstrating a negative association between impulsivity and 5-HT-related measures (35, 53). This preliminary finding is in need of replication.

Whereas acute tryptophan depletion significantly increased commission errors on a go/no-go task, it did not affect measures of aggressive response. This may have been due to low statistical power. There was no suggestion of an acute tryptophan depletion effect on any of the aggression measures, however. Alternatively, the absence of an effect may have been due to an insufficient differential between the tryptophan-free and balanced-mixture conditions in tryptophan levels and subsequent 5-HT function. In previous studies, differences in aggressive response were only reported when the tryptophan-free mixture was contrasted with a mixture containing excess tryptophan (54, 55). That positive results were obtained for impulsivity but not aggression suggests that the laboratory test of impulsivity is more sensitive or that impulsive response is more sensitive to serotonergic modulation. Although acute tryptophan depletion had no effect on aggression, evidence indicates that men with a multigenerational paternal family history of alcoholism were more aggressive than men with no family history of alcoholism, particularly early in the task.

Acute tryptophan depletion caused an increase in negative mood. This change in mood is unlikely to be responsible for the alteration in passive-avoidance response because 1) it was seen equally in both individuals with and without a multigenerational paternal family history of alcoholism, 2) mood did not predict commission errors, and 3) response in the go/no-go task was not influenced by modest changes in mood (56). It is noteworthy that in this study, the ability of acute tryptophan depletion to elicit a depressive effect was less prominent than in unaffected men at high risk for the development of mood disorders, perhaps because of the higher percentage of first- and second-degree relatives with mood disorders in that study (39).

Some methodological limitations deserve attention. First, a number of participants with a multigenerational paternal family history of alcoholism tested positive for recent use of THC or amphetamines or both. Recent drug intoxication or withdrawal may have influenced performance on the go/no-go task. However, the proportions of these drugs used by participants in the tryptophan-free and balanced-mixture conditions did not differ. Furthermore, testing positive for recent drug use was not associated with increased commission errors. Additionally, higher frequencies of drug use are characteristic of individuals with a multigenerational paternal family history of alcoholism (57, 58). A systematic exclusion of these individuals could have resulted in an unrepresentative study group.

Second, participants with a multigenerational paternal family history of alcoholism had higher MAST scores than did participants with no family history of ­alcoholism. Increased alcohol-related problems in ­individuals with a multigenerational paternal family history of alcoholism may have affected serotonergic functioning and the behavioral response to acute tryptophan depletion. These variables were not correlated with commission errors, however. As well, individuals with a multigenerational paternal family history of alcoholism tend to show more alcohol-related problems than do individuals with no family history of alcoholism (57, 58).

Third, a small number of individuals with a multigenerational paternal family history of alcoholism vomited after acute tryptophan depletion. Vomiting may have affected absorption of the amino acid mixture, which reduced the effect of acute tryptophan depletion. These individuals demonstrated substantial reductions in plasma-free tryptophan, however. Emesis may have affected go/no-go performance by lowering mood, yet regression analyses indicated that emesis was not correlated with commission errors.

Fourth, a number of participants were not deceived in the Taylor aggression task. Similar results were obtained when undeceived participants were included in the analyses. This suggests that deception may not be essential in the Taylor test and increases the credibility of the data.

Finally, family histories were collected from the participants rather than directly from their relatives. This method has a high specificity but a low sensitivity (correctly identifying only some of the alcoholic relatives) (29, 30). Thus, there were probably additional unidentified cases of alcoholism in the relatives of both individuals with and without a multigenerational paternal family history of alcoholism. This argument should work against our hypothesis and, therefore, should not pose a major problem for interpreting the results.

Another factor to consider is the nature of the physiological changes induced by acute tryptophan depletion. Recent results suggest that acute tryptophan depletion substantially decreases human brain 5-HT synthesis (24) and CSF 5-HIAA (23). Whether a decline in 5-HT synthesis produces a decline in 5-HT release and neurotransmission remains a working hypothesis. It is also possible that lowering tryptophan levels may lower the levels of other potentially psychoactive tryptophan metabolites, such as tryptamine (59), melatonin (60), and quinolinic and kynurenic acids, as well as brain protein synthesis.

Acute tryptophan depletion selectively enhanced commission errors in participants with a multigenerational paternal family history of alcoholism, which suggested that these men are more susceptible than individuals with no family history of alcoholism to an acute lowering of 5-HT neurotransmission. Whether this is due to a preexisting abnormality in serotonergic neurotransmission or to differences in other neurotransmitter systems modulating impulsivity is not known. Preliminary evidence suggests altered serotonergic functioning in sons of alcoholics (61, 62).

A substantial proportion of the vulnerability to alcoholism is believed to be genetically mediated (63), particularly in early-onset, male-limited, type-2 alcoholism (20). Human (64, 65) and primate (66) studies suggest a significant genetic component in 5-HT-related measures. Additionally, mice with genetic alterations affecting serotonergic neurotransmission show increased aggression (67, 68) and alcohol intake (69). Environmental factors may also be important. Early stressors lead to greater developmental declines in CSF 5-HIAA in monkeys than in unstressed animals (70). The extent to which low 5-HT function contributes to the genetic risk for alcoholism remains to be determined. The present results suggest that reduced central nervous system 5-HT function may account for some of the behavioral problems of impulse control that characterize individuals with a multigenerational paternal family history of alcoholism. Whether the propensity for disinhibited behavior after acute tryptophan depletion may help predict future outcome (alcoholism or impulsive behavior or both) remains to be investigated.

Presented in part at the 33rd annual meeting of the American College of Neuropsychopharmacology, San Juan, Puerto Rico, Dec. 12–16, 1994; the 18th annual meeting of the Canadian College of Neuropsychopharmacology, Vancouver, B.C., Canada, June 4–7, 1995; and the NATO Advanced Study Institute on the Biosocial Bases of Violence: Theory and Research, Rhodes, Greece, May 12–21, 1996. Received March 10, 1998; revision received March 5, 1999; accepted April 19, 1999. From the Departments of Psychology and Psychiatry, McGill University. Address reprint requests to Dr. Benkelfat, Department of Psychiatry, McGill University, 1033 Ave. des Pins Ouest, Montréal, Qué. H3A 1A1, Canada. Supported by grants MT-9980 (Dr. Pihl), MT-7811 (Dr. Young), and MT-12502 (Dr. Benkelfat) from the Medical Research Council of Canada, Ottawa, Ont.; grants from the Social Sciences Research Grants Sub-Committee of McGill University (Dr. LeMarquand); and doctoral and dissertation fellowships to Dr. LeMarquand from the Fonds pour la Formation de Chercheurs et L’Aide à la Recherche and the Guggenheim Foundation, New York. The authors thank Pierre Blier, M.D., Peggy Dean, R.N., Karin Helmers, Ph.D., Franceen Lenoff, Mark Gross, David Kernaghan, Rhonda Amsel, Judi Young, Liz Rusnak, Mark Ellenbogen, Tracy Hecht, Nadia Fazioli, Steve Reynolds, Ashley Monks, and Bhavna Khanna for their help.

TABLE 2
TABLE 1
FIGURE 1.

FIGURE 1. Omission and Commission Errors Across Conditions of the Go/No-Go Learning Task in Two Groups of Participants at Risk for Alcoholism and Two Groups of Normal ­Comparison Subjects

Risk-by-treatment interaction for commission errors (F=3.94, df=1, 53, p=0.05). Post hoc tests investigated the null hypothesis that there were no differences in commission errors between the group with a multigenerational paternal family history of alcoholism that was given a mixture of tryptophan-depleted amino acid and each of the other three groups.  They demonstrated that participants with a multigenerational paternal family history of alcoholism who were given a mixture of tryptophan-depleted amino acid made significantly more commission errors than did participants with no family history of alcoholism who were given a balanced mixture (Newman-Keuls Q2=3.11, df=53, p<0.05) and participants with a multigenerational paternal family history of alcoholism who were given a balanced mixture (Newman-Keuls Q3=3.48, df=53, p<0.05) and nearly significantly more than the participants with no family history of alcoholism who were given a mixture of tryptophan-depleted amino acid (Newman-Keuls Q4=3.59, df=53, p=0.08).

References

1. Soubrié P: Reconciling the role of central serotonin neurons in human and animal behavior. Behav Brain Sci 1986; 9:319–364CrossrefGoogle Scholar

2. Morand C, Young SN, Ervin FR: Clinical response of aggressive schizophrenics to oral tryptophan. Biol Psychiatry 1983; 18:575–578MedlineGoogle Scholar

3. Linnoila M, Virkkunen M, Scheinin M, Nuutila A, Rimon R, Goodwin FK: Low cerebrospinal fluid 5-hydroxyindoleacetic acid concentration differentiates impulsive from nonimpulsive violent behavior. Life Sci 1983; 33:2609–2614Google Scholar

4. Virkkunen M, Rawlings R, Tokola R, Poland RE, Guidotti A, Nemeroff C, Bissette G, Kalogeras K, Karonen S-L, Linnoila M: CSF biochemistries, glucose metabolism, and diurnal activity rhythms in alcoholic, violent offenders, fire setters, and healthy volunteers. Arch Gen Psychiatry 1994; 51:20–27Crossref, MedlineGoogle Scholar

5. Coccaro EF, Siever LJ, Klar HM, Maurer G, Cochrane K, Cooper TB, Mohs RC, Davis KL: Serotonergic studies in patients with affective and personality disorders: correlates with suicidal and impulsive aggressive behavior. Arch Gen Psychiatry 1989; 46:587–599Crossref, MedlineGoogle Scholar

6. LeMarquand D, Pihl RO, Benkelfat C: Serotonin and alcohol intake, abuse and dependence: clinical evidence. Biol Psychiatry 1994; 36:326–337Crossref, MedlineGoogle Scholar

7. Brown GL, Ebert MH, Goyer PF, Jimerson DC, Klein WJ, Bunney WE, Goodwin FK: Aggression, suicide, and serotonin: relationships to CSF amine metabolites. Am J Psychiatry 1982; 139:741–746LinkGoogle Scholar

8. Jimerson DC, Lesem MD, Kaye WH, Brewerton TD: Low serotonin and dopamine metabolite concentrations in cerebrospinal fluid from bulimic patients with frequent binge episodes. Arch Gen Psychiatry 1992; 49:132–138Crossref, MedlineGoogle Scholar

9. Moss HB, Yao JK, Panzak GL: Serotonergic responsivity and behavioral dimensions in antisocial personality disorder with substance abuse. Biol Psychiatry 1990; 28:325–338Crossref, MedlineGoogle Scholar

10. Kruesi MJ, Rapoport JL, Hamburger S, Hibbs E, Potter WZ, Lenane M, Brown GL: Cerebrospinal fluid monoamine metabolites, aggression, and impulsivity in disruptive behavior disorders of children and adolescents. Arch Gen Psychiatry 1990; 47:419–426Crossref, MedlineGoogle Scholar

11. Brown GL, Goodwin FK, Ballenger JC, Goyer PF, Major LF: Aggression in humans correlates with cerebrospinal fluid amine metabolites. Psychiatry Res 1979; 1:131–140Crossref, MedlineGoogle Scholar

12. Dawson DA, Harford TC, Grant BF: Family history as a predictor of alcohol dependence. Alcohol Clin Exp Res 1992; 16:572–575Crossref, MedlineGoogle Scholar

13. Schulsinger F, Knop J, Goodwin DW, Teasdale TW, Mikkelsen U: A prospective study of young men at high risk for alcoholism: social and psychological characteristics. Arch Gen Psychiatry 1986; 43:755–760Crossref, MedlineGoogle Scholar

14. Knop J, Teasdale TW, Schulsinger F, Goodwin DW: A prospective study of young men at high risk for alcoholism: school behavior and achievement. J Stud Alcohol 1985; 46:273–278MedlineGoogle Scholar

15. Pihl RO, Peterson J, Finn P: Inherited predisposition to alcoholism: characteristics of sons of male alcoholics. J Abnorm Psychol 1990; 99:291–301Crossref, MedlineGoogle Scholar

16. Ballenger JC, Goodwin FK, Major LF, Brown GL: Alcohol and central serotonin metabolism in man. Arch Gen Psychiatry 1979; 36:224–227Crossref, MedlineGoogle Scholar

17. Fils-Aime M-L, Eckardt MJ, George DT, Brown GL, Mefford I, Linnoila M: Early-onset alcoholics have lower cerebrospinal fluid 5-hydroxyindoleacetic acid levels than late-onset alcoholics. Arch Gen Psychiatry 1996; 53:211–216Crossref, MedlineGoogle Scholar

18. George DT, Benkelfat C, Rawlings RR, Eckardt MJ, Phillips MJ, Nutt DJ, Wynne D, Murphy DL, Linnoila M: Behavioral and neuroendocrine responses to m-chlorophenylpiperazine in subtypes of alcoholics and in healthy comparison subjects. Am J Psychiatry 1997; 154:81–87LinkGoogle Scholar

19. Cloninger CR, Bohman M, Sigvardsson S: Inheritance of alcohol abuse: cross-fostering analysis of adopted men. Arch Gen Psychiatry 1981; 38:861–868Crossref, MedlineGoogle Scholar

20. Cloninger CR: Neurogenetic adaptive mechanisms in alcoholism. Science 1987; 236:410–416Crossref, MedlineGoogle Scholar

21. Linnoila M, De Jong J, Virkkunen M: Family history of alcoholism in violent offenders and impulsive fire setters. Arch Gen Psychiatry 1989; 46:613–616Crossref, MedlineGoogle Scholar

22. Virkkunen M, Eggert M, Rawlings R, Linnoila M: A prospective follow-up study of alcoholic violent offenders and fire setters. Arch Gen Psychiatry 1996; 53:523–529Crossref, MedlineGoogle Scholar

23. Carpenter LL, Anderson GM, Pelton GH, Gudin JA, Kirwin PDS, Price LH, Heninger GR, McDougle CJ: Tryptophan depletion during continuous CSF sampling in healthy human subjects. Neuropsychopharmacology 1998; 19:26–35Crossref, MedlineGoogle Scholar

24. Nishizawa S, Benkelfat C, Young SN, Leyton M, Mzengeza S, de Montigny C, Blier P, Diksic M: Differences between males and females in rates of serotonin synthesis in human brain. Proc Natl Acad Sci USA 1997; 94:5308–5313Google Scholar

25. Spitzer RL, Williams JBW, Gibbon M, First MB: Structured Clinical Interview for DSM-III-R—Non-Patient Version (SCID-NP). New York, New York State Psychiatric Institute, Biometrics Research, 1987Google Scholar

26. Rice JP, Reich T, Bucholz KK, Neuman J, Fishman R, Rochberg N, Hesselbrock VM, Nurnberger JI Jr, Schuckit MA, Begleiter H: Comparison of direct interview and family history diagnoses of alcohol dependence. Alcohol Clin Exp Res 1995; 19:1018–1023Google Scholar

27. Spitzer RL, Endicott J, Robins E: Research Diagnostic Criteria: rationale and reliability. Arch Gen Psychiatry 1978; 35:773–782Crossref, MedlineGoogle Scholar

28. Andreasen NC, Endicott J, Spitzer RL, Winokur G: The family history method using diagnostic criteria: reliability and validity. Arch Gen Psychiatry 1977; 34:1229–1235Google Scholar

29. Andreasen NC, Rice J, Endicott J, Reich T, Coryell W: The family history approach to diagnosis: how useful is it? Arch Gen Psychiatry 1986; 43:421–429Google Scholar

30. Thompson WD, Orvaschel H, Prusoff BA, Kidd KK: An evaluation of the family history method for ascertaining psychiatric disorders. Arch Gen Psychiatry 1992; 49:824–830Crossref, MedlineGoogle Scholar

31. Wechsler D: WAIS-R Manual: Wechsler Adult Intelligence Scale—Revised. San Antonio, Tex, Psychological Corp, 1981Google Scholar

32. Ward LC: Prediction of verbal, performance, and full scale IQs from seven subtests of the WAIS-R. J Clin Psychol 1990; 46:436–440Crossref, MedlineGoogle Scholar

33. Benedict RHB, Schretlen D, Bobholz JH: Concurrent validity of three WAIS-R short forms in psychiatric inpatients. Psychol Assessment 1992; 4:322–328CrossrefGoogle Scholar

34. Vogel-Sprott M: Response measures of social drinking: research implications and applications. J Stud Alcohol 1983; 44:817–836MedlineGoogle Scholar

35. Lane JD: Caffeine abuse and caffeine reduction, in Applications in Behavioral Medicine and Health Psychology. Edited by Blumenthal JA, McKee DC. Sarasota, Fla, Professional Resource Press, 1987, pp 509–542Google Scholar

36. Watson RR: Caffeine: is it dangerous to health? Am J Health Promot 1988; 2:13–22Google Scholar

37. Selzer M: The Michigan Alcoholism Screening Test: the quest for a new diagnostic instrument. Am J Psychiatry 1971; 127:1653–1658Google Scholar

38. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry 1961; 4:561–571Crossref, MedlineGoogle Scholar

39. Benkelfat C, Ellenbogen M, Dean P, Palmour R, Young SN: Mood-lowering effect of tryptophan depletion: enhanced susceptibility in young men at genetic risk for major affective disorders. Arch Gen Psychiatry 1994; 51:687–697Crossref, MedlineGoogle Scholar

40. McNair DM, Lorr M, Droppleman LF: Manual for the Profile of Mood States. San Diego, Educational and Industrial Testing Service, 1988Google Scholar

41. Bond A, Lader M: The use of analogue scales in rating subjective feelings. Br J Med Psychol 1974; 47:211–218CrossrefGoogle Scholar

42. Spielberger CD, Gorsuch RL, Lushene RD: STAI Manual. Palo Alto, Calif, Consulting Psychologists Press, 1970Google Scholar

43. Young SN, Smith SE, Pihl RO, Ervin FR: Tryptophan depletion causes a rapid lowering of mood in normal males. Psycho­pharmacology (Berl) 1985; 87:173–177Crossref, MedlineGoogle Scholar

44. Taylor SP: Aggressive behaviour and physiological arousal as a function of provocation and the tendency to inhibit aggression. J Pers 1967; 35:297–310Crossref, MedlineGoogle Scholar

45. Lau MA, Pihl RO, Peterson JB: Provocation, acute alcohol intoxication, cognitive performance, and aggression. J Abnorm Psychol 1995; 104:150–155Crossref, MedlineGoogle Scholar

46. Newman JP, Kosson DS: Passive avoidance learning in psychopathic and nonpsychopathic offenders. J Abnorm Psychol 1986; 95:252–256Crossref, MedlineGoogle Scholar

47. Newman JP, Patterson CM, Howland EW, Nichols SL: Passive avoidance in psychopaths: the effects of reward. Personality and Individual Differences 1990; 11:1101–1114Google Scholar

48. Iaboni F, Douglas VI, Baker AG: Effects of reward and response costs on inhibition in ADHD children. J Abnorm Psychol 1995; 104:232–240Crossref, MedlineGoogle Scholar

49. Patterson CM, Kosson DS, Newman JP: Reaction to punishment, reflectivity, and passive avoidance learning in extraverts. J Pers Soc Psychol 1987; 52:565–575Crossref, MedlineGoogle Scholar

50. Wilkins K: Eosinophilia-myalgia syndrome. Can Med Assoc J 1990; 142:1265–1266Google Scholar

51. Tabachnick BG, Fidell LS: Using Multivariate Statistics, 2nd ed. New York, HarperCollins, 1989Google Scholar

52. Cohen B: Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ, Lawrence Erlbaum Associates, 1988Google Scholar

53. Virkkunen M, Nuutila A, Goodwin FK, Linnoila M: Cerebrospinal fluid monoamine metabolite levels in male arsonists. Arch Gen Psychiatry 1987; 44:241–247Crossref, MedlineGoogle Scholar

54. Pihl RO, Young SN, Harden P, Plotnick S, Chamberlain B, Ervin FR: Acute effect of altered tryptophan levels and alcohol on aggression in normal human males. Psychopharmacology (Berl) 1995; 119:353–360Crossref, MedlineGoogle Scholar

55. Cleare AJ, Bond AJ: The effect of tryptophan depletion and enhancement on subjective and behavioural aggression in normal male subjects. Psychopharmacology (Berl) 1995; 118:72–81Crossref, MedlineGoogle Scholar

56. Helmers KF, Young SN, Pihl RO: Extraversion and behavioral impulsivity. Personality and Individual Differences 1997; 23:441–452CrossrefGoogle Scholar

57. Schuckit MA, Sweeney S: Substance use and mental health problems among sons of alcoholics and controls. J Stud Alcohol 1987; 48:528–534MedlineGoogle Scholar

58. McCaul ME, Turkkan JS, Svikis DS, Bigelow GE, Cromwell CC: Alcohol and drug use by college males as a function of family alcoholism history. Alcohol Clin Exp Res 1990; 14:467–471Crossref, MedlineGoogle Scholar

59. Young SN, Gauthier S: Effect of tryptophan administration on tryptophan, 5-hydroxyindoleacetic acid and indoleacetic acid in human lumbar and cisternal cerebrospinal fluid. J Neurol Neurosurg Psychiatry 1981; 44:323–327Crossref, MedlineGoogle Scholar

60. Zimmerman RC, McDougle CJ, Schumacher M, Olcese J, Mason JW, Heninger GR, Price LH: Effects of acute tryptophan depletion on nocturnal melatonin secretion in humans. J Clin Endocrinol Metab 1993; 76:1160–1164Google Scholar

61. Rausch JL, Monteiro MG, Schuckit MA: Platelet serotonin uptake in men with family histories of alcoholism. Neuropsychopharmacology 1991; 4:83–86MedlineGoogle Scholar

62. Ernouf D, Compagnon P, Lothion P, Narcisse G, Bénard JY, Daoust M: Platelets 3H 5-HT uptake in descendants from alcoholic patients: a potential risk factor for alcohol dependence. Life Sci 1993; 52:989–995Crossref, MedlineGoogle Scholar

63. Sigvardsson S, Bohman M, Cloninger CR: Replication of the Stockholm Adoption Study of alcoholism: confirmatory cross-fostering analysis. Arch Gen Psychiatry 1996; 53:681–687Crossref, MedlineGoogle Scholar

64. Oxenstierna G, Edman G, Iselius L, Oreland L, Ross SB, Sedvall G: Concentrations of monoamine metabolites in the cerebrospinal fluid of twins and unrelated individuals—a genetic study. J Psychiatr Res 1986; 20:19–29Crossref, MedlineGoogle Scholar

65. Nielsen DA, Goldman D, Virkkunen M, Tokola R, Rawlings R, Linnoila M: Suicidality and 5-hydroxyindoleacetic acid concentration associated with a tryptophan hydroxylase polymorphism. Arch Gen Psychiatry 1994; 51:34–38Crossref, MedlineGoogle Scholar

66. Higley JD, Thompson WW, Champoux M, Goldman D, Hasert MF, Kraemer GW, Scanlan JM, Suomi SJ, Linnoila M: Paternal and maternal genetic and environmental contributions to cerebrospinal fluid monoamine metabolites in Rhesus monkeys (Macaca mulatta). Arch Gen Psychiatry 1993; 50:615–623Crossref, MedlineGoogle Scholar

67. Saudou F, Aït Amara D, Dierich A, LeMeur M, Ramboz S, Segu L, Buhot M-C, Hen R: Enhanced aggressive behavior in mice lacking 5-HT1B receptor. Science 1994; 265:1875–1878Google Scholar

68. Hilakivi-Clarke LA, Corduban TD, Taira T, Hitri H, Deutsch S, Korpi ES, Goldberg R, Kellar KJ: Alterations in brain monoamines and GABAA receptors in transgenic mice overexpressing TGFα. Pharmacol Biochem Behav 1995; 50:593–600Crossref, MedlineGoogle Scholar

69. Crabbe JC, Phillips TJ, Feller DJ, Hen R, Wenger CD, Lessov CN, Schafer GL: Elevated alcohol consumption in null mutant mice lacking 5-HT1B serotonin receptors. Nat Genet 1996; 14:98–101Crossref, MedlineGoogle Scholar

70. Clarke AS, Hedeker DR, Ebert MH, Schmidt DE, McKinney WT, Kraemer GW: Rearing experience and biogenic amine activity in infant rhesus monkeys. Biol Psychiatry 1996; 40:338–352Crossref, MedlineGoogle Scholar