Kristin L. Bigos

Genetic variation in CACNA1C affects brain circuitries related to mental illness.

CONTEXT The CACNA1C gene (alpha-1C subunit of the L-type voltage-gated calcium channel) has been identified as a risk gene for bipolar disorder and schizophrenia, but the mechanism of association has not been explored. OBJECTIVE To identify the neural system mechanism that explains the genetic association between the CACNA1C gene and psychiatric illness using neuroimaging and human brain expression. DESIGN We used blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to measure brain activation in circuitries related to bipolar disorder and schizophrenia by comparing CACNA1C genotype groups among healthy subjects. We tested the effect of genotype on messenger RNA (mRNA) levels of CACNA1C in postmortem human brain. A case-control analysis was used to determine the association of CACNA1C genotype with schizophrenia. SETTING National Institutes of Health Clinical Center. PATIENTS Healthy men and women of white race/ethnicity participated in the fMRI study. Postmortem samples from normal human brains were used for the brain expression study. Patients with schizophrenia and healthy subjects were used in the case-control analysis. MAIN OUTCOME MEASURES BOLD fMRI, mRNA levels in postmortem brain samples, and genetic association with schizophrenia. RESULTS The risk-associated single-nucleotide polymorphism (SNP rs1006737) in CACNA1C predicted increased hippocampal activity during emotional processing (P = .001 uncorrected, P((false recovery rate [FDR])) = .05, z = 3.20) and increased prefrontal activity during executive cognition (P = 2.8e-05 uncorrected, P(FDR) = .01, z = 4.03). The risk-associated SNP also predicted increased expression of CACNA1C mRNA in human brain (P = .002). CACNA1C was associated with schizophrenia in our case-control sample (odds ratio, 1.77; P = .03). CONCLUSIONS The risk-associated SNP in CACNA1C maps to circuitries implicated in genetic risk for bipolar disorder and schizophrenia. Its effects in human brain expression implicate a molecular and neural system mechanism for the clinical genetic association.

Acute 5-HT Reuptake Blockade Potentiates Human Amygdala Reactivity

Variability in serotonin (5-HT) function is associated with individual differences in normal mood and temperament, as well as psychiatric illnesses, all of which are influenced by amygdala function. This study evaluated the acute effects of 5-HT reuptake blockade on amygdala function using pharmacological functional MRI. Eight healthy men completed a double-blind balanced crossover study with the selective 5-HT reuptake inhibitor, citalopram (20 mg infused over 30 min), and normal saline. Amygdala reactivity in response to novel facial expressions was assessed on three successive scans, once before drug/placebo infusion, once early in the infusion, and once at the end of infusion. Acute citalopram administration resulted in concentration-dependent increases in human amygdala reactivity to salient stimuli. The current pattern of 5-HT-mediated amygdala reactivity may represent an important pathway through which SSRIs achieve an antidepressant effect. Intriguingly, our data may also reveal a mechanism contributing to clinical observations of extreme agitation, restlessness, and suicidal ideation in some individuals during acute SSRI treatment. Developing a comprehensive model of how 5-HT modulates human amygdala reactivity supporting behavioral and physiological arousal will be instrumental for our understanding of basic neurobehavioral processes, their dysfunction in psychiatric illnesses, and their contribution to mechanism of treatment response.

Sex, Race, and Smoking Impact Olanzapine Exposure

Response to antipsychotics is highly variable, which may be due in part to differences in drug exposure. The goal of this study was to evaluate the magnitude and variability of concentration exposure of olanzapine. Patients with Alzheimers disease (n = 117) and schizophrenia (n = 406) were treated with olanzapine as part of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE). Combined, these patients (n = 523) provided 1527 plasma samples for determination of olanzapine concentrations. Nonlinear mixed‐effects modeling was used to determine the population pharmacokinetics of olanzapine, and patient‐specific covariates were evaluated as potential contributors to variability in drug exposure. The population mean olanzapine clearance and volume of distribution were 16.1 L/h and 2150 L, respectively. Elimination of olanzapine varied nearly 10‐fold (range, 6.66–67.96 L/h). Smoking status, sex, and race accounted for 26%, 12%, and 7% of the variability, respectively (P < .0001). Smokers cleared olanzapine 55% faster than non/past smokers (P < .0001). Men cleared olanzapine 38% faster than women (P < .0001). Patients who identified themselves as black or African American cleared olanzapine 26% faster than other races (P < .0001). Differences in olanzapine exposure due to sex, race, and smoking may account for some of the variability in response to olanzapine.

Suboptimal aminoglycoside dosing in critically ill patients.

Maximal aminoglycoside (AG) killing requires that the ratio of peak serum concentrations (Cmax) to the minimum inhibitory concentration (MIC) of the pathogen exceeds by ≥10. This has been shown to hasten resolution of infection in the general patient population. It was postulated that critically ill patients, likely to have larger intravascular volumes, are underdosed. The primary aim was to determine Cmax to MIC target attainment rate in medical intensive care unit (MICU) patients. A retrospective review of MICU patients who received at least 1 intravenous dose and serum concentration of either gentamicin or tobramycin was performed. A population pharmacokinetic model was developed, and MIC distributions for AG were used in determining the Cmax/MIC and in calculating the probability of attaining the pharmacodynamic (PD) target. One hundred two unique patients with 211 AG concentrations were analyzed to determine population pharmacokinetic parameters. Mean maximum clearance (CL) was 3.14L/h (95% confidence interval: 1.26-4.54 L/h), and mean volume of distribution (V) was 53 L (95% confidence interval: 38-66.8 L/h). Glomerular filtration rate and standardized body weight were identified as significant covariates for clearance in the final model. Standardized body weight also significantly affected V. There was only a 20% and 40% probability that patients receiving 7 mg/kg of gentamicin and tobramycin, respectively, will achieve PD target over the range of MIC distributions. Based on these data, the majority of critically ill patients would not be predicted to achieve the PD target under current dosing regimens. This may be a result of intensive care unit patients having a larger volume of distribution than reported in the literature. Future recommendations for treating gram-negative infections in the MICU population include using initial doses of 7 mg/kg of either gentamicin or tobramycin, measuring Cmax after the first dose, and determining MIC for the pathogen(s) with adjustment of subsequent doses to achieve the PD target.

Imaging genetics--days of future past.

Imaging genetics provides a unique tool with which to explore and evaluate the functional impact of brain-relevant genetic polymorphisms with the potential to understand their impact on behavior. Because statistical association with clinical diagnosis does not establish biological significance nor identify a mechanism of risk, imaging genetics is a uniquely valuable strategy for extending statistical evidence with biological data. Applications include identifying biologic mechanisms and pathways that mediate individual differences in complex behaviors and vulnerability to disease, and conversely identifying genes that contribute to functional variation in brain circuitry. Additionally, neuroimaging genetics can validate data that suggest an association with psychiatric illness as well as providing evidence of the mechanism of risk. This review also outlines several critical principles of imaging genetics including a rational approach to the selection of candidate genes, the selection of task paradigms that could be plausibly linked to the biology of the gene of interest, and careful control of non-genetic factors. The future of imaging genetics holds great promise for brain research and for biologic validation of genetic validation in CNS disorders, but a disciplined application of the basic principles outlined in this review is critical.

Genetic variation in CYP3A43 explains racial difference in olanzapine clearance

The antipsychotic drug, olanzapine, one of the most widely used drugs in clinical medicine, has a high rate of discontinuation due to inefficacy and/or adverse effects. We identified a single nucleotide polymorphism in the drug metabolizing enzyme, cytochrome P450 3A43 (CYP3A43; rs472660), that highly significantly predicted olanzapine clearance in the Clinical Antipsychotic Trials of Intervention Effectiveness trial (P=5.9e−7). Moreover, at standard antipsychotic doses, 50% of individuals with the high clearance genotype (AA) have trough blood levels below the therapeutic range. Interestingly, a much higher proportion of African Americans carry the A allele compared with Caucasians (allele frequency 67 vs 14%). After accounting for CYP3A43 genotype, race is no longer a significant predictor of olanzapine clearance. Olanzapine clearance was associated with measures of clinical response. Patients with greater clearance had higher symptom ratings and were more likely to discontinue treatment due to an inadequate response. Our data identify a genetic mechanism for variation in olanzapine response and demonstrate that blood level monitoring of olanzapine treatment is advisable.

The Influence of Hormones and Pharmaceutical Agents on DHEA and DHEA‐S Concentrations: A Review of Clinical Studies

Low endogenous levels of dehydroepiandrosterone (DHEA) and/or its sulfoconjugated derivative DHEA‐S have been associated with diseases such as lupus, cancer, and diabetes. Circulating concentrations of DHEA and DHEA‐S resulting from endogenous production or hormone supplementation may also be relevant in psychiatric illness. Drugs may significantly increase or decrease circulating concentrations of these adrenal androgens by various mechanisms. Some agents, such as dexamethasone, affect the HPA axis by inhibiting ACTH and therefore decrease DHEA and DHEA‐S concentrations. Central nervous system agents, including carbamazepine and phenytoin, induce the P450 enzymes that metabolize DHEA and DHEA‐S and therefore decrease circulating concentrations of these hormones. Danazol alters the ratio between DHEA and DHEA‐S by inhibiting sulfatase. As research moves forward to better understand the relationships of these adrenal androgens with health and disease, it is essential that studies be designed to control for the influence of administered pharmaceuticals on DHEA and DHEA‐S.

Influence of DHEA administration on 24-hour cortisol concentrations.

DHEA is marketed and readily available as a daily nutritional supplement to counteract the effects of aging. The effect of DHEA administration on 24-hour plasma cortisol profiles has not been investigated. In this single-blind placebo-controlled crossover study, the effect of DHEA administration on cortisol concentrations was evaluated in healthy older women and men. Once each morning, subjects took either placebo (Days 1 to 7, and 23 to 29) or oral DHEA 200 mg (Days 8 to 22: doses 1 to 15). Twenty-four hour DHEA and cortisol concentrations were measured on Day 1 (placebo), Day 8 (DHEA dose 1), Day 15 (DHEA dose 8), Day 22 (DHEA dose 15), and Day 29 (placebo washout dose 7). DHEA administration resulted in a decrease in plasma cortisol concentrations (mean, peak, and/or AUC) in healthy older women and men. The cortisol-lowering effect of DHEA was more pronounced in women than in men in our study; pairwise differences in concentrations between days showed that relative to Day 1, cortisol was lower on Days 15, 22, and 29 in women (p = 0.0001) and on Day 15 in men (p = 0.002). The mechanism by which DHEA lowers plasma cortisol concentrations merits further investigation.

Genetic Variation in KCNH2 Associated With Expression in the Brain of a Unique hERG Isoform Modulates Treatment Response in Patients With Schizophrenia

OBJECTIVE Antidopaminergic drugs bind to hERG1 potassium channels encoded by the gene KCNH2, which accounts for the side effect of QT interval prolongation. KCNH2 has also been associated with schizophrenia risk, and risk alleles predict increased expression of a brain-selective isoform, KCNH2 3.1, that has unique physiological properties. The authors assessed whether genetic variation associated with KCNH2 3.1 expression influences the therapeutic effects of antipsychotic drugs. METHOD The authors performed a pharmacogenetic analysis of antipsychotic treatment response in patients with schizophrenia using data from two independent studies: a National Institute of Mental Health (NIMH) double-blind, placebo-controlled inpatient crossover trial (N=54) and the multicenter outpatient Clinical Antipsychotic Trials in Intervention Effectiveness (CATIE) study (N=364). The KCNH2 genotype that was previously associated with increased expression of KCNH2 3.1 in the brain was treated as a predictor variable. Treatment-associated changes in symptoms were evaluated in both groups with the Positive and Negative Syndrome Scale. The authors also analyzed time to discontinuation in the olanzapine arm of the CATIE study. RESULTS In the NIMH study, individuals who were homozygous for the KCNH2 3.1 increased expression-associated T allele of rs1036145 showed significant improvement in positive symptoms, general psychopathology, and thought disturbance, while patients with other genotypes showed little change. In the CATIE study, analogous significant genotypic effects were observed. Moreover, individuals who were homozygous for the T allele at rs1036145 were one-fifth as likely to discontinue olanzapine. CONCLUSIONS These consistent findings in two markedly different treatment studies support the hypothesis that hERG1-mediated effects of antipsychotics may not be limited to their potential cardiovascular side effects but may also involve therapeutic actions related to the brainspecific 3.1 isoform of KCNH2.

Dysregulation of neurosteroids in obsessive compulsive disorder.

Alterations in hormone concentrations, including adrenocorticotropin, corticotropin releasing hormone, and cortisol have been reported in patients with obsessive compulsive disorder (OCD). Dehydroepiandrosterone (DHEA) and its sulfated metabolite, DHEA-S, have not been assessed in patients with OCD. We report 24-h serum DHEA, DHEA-S, and cortisol concentrations in a young man with OCD and 15 healthy young men. Circadian patterns of DHEA and cortisol were markedly different in the subject with OCD than in the control subjects. DHEA and DHEA-S concentrations were substantially higher in the OCD subject than in the control subjects. In contrast, cortisol concentrations were similar in the OCD subject and the control subjects. Future clinical studies are needed to evaluate the significance of DHEA and DHEA-S in OCD.