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Lai D, Kuo SIC, Wetherill L, Aliev F, Zhang M, Abreu M, Schwantes-An TH, Dick D, Francis MW, Johnson EC, Kamarajan C, Kinreich S, Kuperman S, Meyers J, Nurnberger JI, Liu Y, Edenberg HJ, Porjesz B, Agrawal A, Foroud T, Schuckit M, Plawecki MH, Bucholz KK, McCutcheon VV. Associations between alcohol use disorder polygenic score and remission in participants from high-risk families and the Indiana Biobank. Alcohol Clin Exp Res (Hoboken) 2024; 48:283-294. [PMID: 38054532 PMCID: PMC10922306 DOI: 10.1111/acer.15239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/29/2023] [Accepted: 11/29/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND In the United States, ~50% of individuals who meet criteria for alcohol use disorder (AUD) during their lifetimes do not remit. We previously reported that a polygenic score for AUD (PGSAUD ) was positively associated with AUD severity as measured by DSM-5 lifetime criterion count, and AUD severity was negatively associated with remission. Thus, we hypothesized that PGSAUD would be negatively associated with remission. METHODS Individuals of European (EA) and African ancestry (AA) from the Collaborative Study on the Genetics of Alcoholism (COGA) who met lifetime criteria for AUD, and two EA cohorts ascertained for studies of liver diseases and substance use disorders from the Indiana Biobank were included. In COGA, 12-month remission was defined as any period of ≥12 consecutive months without meeting AUD criteria except craving and was further categorized as abstinent and non-abstinent. In the Indiana Biobank, remission was defined based on ICD codes and could not be further distinguished as abstinent or non-abstinent. Sex and age were included as covariates. COGA analyses included additional adjustment for AUD severity, family history of remission, and AUD treatment history. RESULTS In COGA EA, PGSAUD was negatively associated with 12-month and non-abstinent remission (p ≤ 0.013, βs between -0.15 and -0.10) after adjusting for all covariates. In contrast to the COGA findings, PGSAUD was positively associated with remission (p = 0.004, β = 0.28) in the Indiana Biobank liver diseases cohort but not in the Indiana Biobank substance use disorder cohort (p = 0.17, β = 0.15). CONCLUSIONS PGSAUD was negatively associated with 12-month and non-abstinent remission in COGA EA, independent of behavioral measures of AUD severity and family history of remission. The discrepant results in COGA and the Indiana Biobank could reflect different ascertainment strategies: the Indiana Biobank participants were older and had higher rates of liver disease, suggesting that these individuals remitted due to alcohol-related health conditions that manifested in later life.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Michael Zhang
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Marco Abreu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Danielle Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | | | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Jacquelyn Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Science University, NY
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
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Alessi J, Dzemidzic M, Benson K, Chittum G, Kosobud A, Harezlak J, Plawecki MH, O'Connor SJ, Kareken DA. Correction: High-intensity sweet taste as a predictor of subjective alcohol responses to the ascending limb of an intravenous alcohol prime: an fMRI study. Neuropsychopharmacology 2024; 49:633. [PMID: 37640923 PMCID: PMC10789726 DOI: 10.1038/s41386-023-01713-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Affiliation(s)
- Jonathan Alessi
- Medical Neuroscience Graduate Program, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mario Dzemidzic
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Katherine Benson
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Clinical Psychology Graduate Program, Department of Psychology and Neuroscience, University of North Carolina- Chapel Hill, Chapel Hill, NC, USA
| | - George Chittum
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ann Kosobud
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jaroslaw Harezlak
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
| | - Martin H Plawecki
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sean J O'Connor
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David A Kareken
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
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Alessi J, Dzemidzic M, Benson K, Chittum G, Kosobud A, Harezlak J, Plawecki MH, O'Connor SJ, Kareken DA. High-intensity sweet taste as a predictor of subjective alcohol responses to the ascending limb of an intravenous alcohol prime: an fMRI study. Neuropsychopharmacology 2024; 49:396-404. [PMID: 37550441 PMCID: PMC10724194 DOI: 10.1038/s41386-023-01684-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/11/2023] [Accepted: 07/19/2023] [Indexed: 08/09/2023]
Abstract
High-intensity sweet-liking has been linked to alcohol use disorder (AUD) risk. However, the neural underpinning of this association is poorly understood. To find a biomarker predictive of AUD, 140 participants (social and heavy drinkers, ages 21-26) underwent functional magnetic resonance imaging (fMRI) during a monetary incentive delay (MID) task and stimulation with high (SucroseHigh)- and low-concentration sucrose, as well as viscosity-matched water. On another day after imaging, and just before free-access intravenous alcohol self-administration, participants experienced a 30 mg% alcohol prime (10 min ascent) using the Computerized Alcohol Infusion System. Principal component analysis (PCA) of subjective responses (SR) to the prime's ascending limb generated enjoyable (SRenjoy) and sedative (SRsed) intoxication components. Another PCA created one component reflective of self-administered alcohol exposure (AE) over 90 min. Component loadings were entered as regressors in a voxel-wise general linear fMRI model, with reward type as a fixed factor. By design, peak prime breath alcohol concentration was similar across participants (29 ± 3.4 mg%). SRenjoy on the prime's ascending limb correlated positively with [SucroseHigh > Water] in the supplementary motor area and right dorsal anterior insula, implicating the salience network. Neither SR component correlated with the brain's response to MID. AE was unrelated to brain reward activation. While these findings do not support a relationship between alcohol self-administration and (1) subjective liking of or (2) regional brain response to an intensely sweet taste, they show that alcohol's enjoyable intoxicating effects on the rising limb correspond with anterior insular and supplementary motor area responses to high-concentration sucrose taste. No such associations were observed with MID despite robust activation in those regions. Insula and supplementary motor area responses to intense sensations relate to a known risk factor for AUD in a way that is not apparent with a secondary (monetary) reward.
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Affiliation(s)
- Jonathan Alessi
- Medical Neuroscience Graduate Program, Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Mario Dzemidzic
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Katherine Benson
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Clinical Psychology Graduate Program, Department of Psychology and Neuroscience, University of North Carolina- Chapel Hill, Chapel Hill, NC, USA
| | - George Chittum
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ann Kosobud
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jaroslaw Harezlak
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA
| | - Martin H Plawecki
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sean J O'Connor
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David A Kareken
- Indiana Alcohol Research Center, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Radiology, Indiana University School of Medicine, Indianapolis, IN, USA.
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
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Brislin SJ, Salvatore JE, Meyers JM, Kamarajan C, Plawecki MH, Edenberg HJ, Kuperman S, Tischfield J, Hesselbrock V, Anokhin AP, Chorlian DB, Schuckit MA, Nurnberger JI, Bauer L, Pandey G, Pandey AK, Kramer JR, Chan G, Porjesz B, Dick DM. Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood. Psychol Med 2024; 54:267-277. [PMID: 37203444 PMCID: PMC11010461 DOI: 10.1017/s0033291723001174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
BACKGROUND Researchers have identified genetic and neural risk factors for externalizing behaviors. However, it has not yet been determined if genetic liability is conferred in part through associations with more proximal neurophysiological risk markers. METHODS Participants from the Collaborative Study on the Genetics of Alcoholism, a large, family-based study of alcohol use disorders were genotyped and polygenic scores for externalizing (EXT PGS) were calculated. Associations with target P3 amplitude from a visual oddball task (P3) and broad endorsement of externalizing behaviors (indexed via self-report of alcohol and cannabis use, and antisocial behavior) were assessed in participants of European (EA; N = 2851) and African ancestry (AA; N = 1402). Analyses were also stratified by age (adolescents, age 12-17 and young adults, age 18-32). RESULTS The EXT PGS was significantly associated with higher levels of externalizing behaviors among EA adolescents and young adults as well as AA young adults. P3 was inversely associated with externalizing behaviors among EA young adults. EXT PGS was not significantly associated with P3 amplitude and therefore, there was no evidence that P3 amplitude indirectly accounted for the association between EXT PGS and externalizing behaviors. CONCLUSIONS Both the EXT PGS and P3 amplitude were significantly associated with externalizing behaviors among EA young adults. However, these associations with externalizing behaviors appear to be independent of each other, suggesting that they may index different facets of externalizing.
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Affiliation(s)
- Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Jacquelyn M. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Bloomington, IN, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Jay Tischfield
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | | | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, New York, NY, USA
| | | | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, New Brunswick-Piscataway, NJ, USA
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Smith AC, Opperman MJ, McCann JP, Jivens MP, Giust J, Wetherill L, Plawecki MH. Evaluation of US Medical Student Bias Toward Mental Health Before and After First-Year Pre-clinical Psychiatry Education. Acad Psychiatry 2023; 47:653-658. [PMID: 37493961 DOI: 10.1007/s40596-023-01829-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/06/2023] [Indexed: 07/27/2023]
Abstract
OBJECTIVE Much of mental health care is provided by non-psychiatric providers, and unfortunately, bias toward patients with mental health conditions leads to worsened outcomes. The authors endeavored to determine if pre-clinical medical student psychiatry education had an impact on these perceptions. METHODS All 366 first-year medical students at Indiana University were invited to participate in a survey that consisted of the Mental Illness: Clinician's Attitudes version 2 (MICA-2) and six supplemental questions, pre- and post-course. RESULTS One hundred seventeen students completed both surveys. The pre- and post-course means were 36.6 and 33.6, a change of - 2.9 (paired t-test p-value < 0.001), indicating a reduction in bias. CONCLUSIONS These results suggest that pre-clinical education can lead to a measurable decrease in bias in medical students early in training. Unfortunately, individual question results and free responses continue to highlight significant bias in US medical students against mental illness and the field of psychiatry. Health care educators should be aware of these biases and their potential impact on patient outcomes so that these harmful perceptions can be targeted.
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Affiliation(s)
- Alyssa C Smith
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Joseph P McCann
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Morgan P Jivens
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Julianne Giust
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Leah Wetherill
- Indiana University School of Medicine, Indianapolis, IN, USA
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Su J, Kuo SIC, Aliev F, Rabinowitz JA, Jamil B, Chan G, Edenberg HJ, Francis M, Hesselbrock V, Kamarajan C, Kinreich S, Kramer J, Lai D, McCutcheon V, Meyers J, Pandey A, Pandey G, Plawecki MH, Schuckit M, Tischfield J, Dick DM. Alcohol use polygenic risk score, social support, and alcohol use among European American and African American adults. Dev Psychopathol 2023:1-13. [PMID: 37781861 PMCID: PMC10985050 DOI: 10.1017/s0954579423001141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Alcohol use is influenced by genetic and environmental factors. We examined the interactive effects between genome-wide polygenic risk scores for alcohol use (alc-PRS) and social support in relation to alcohol use among European American (EA) and African American (AA) adults across sex and developmental stages (emerging adulthood, young adulthood, and middle adulthood). Data were drawn from 4,011 EA and 1,274 AA adults from the Collaborative Study on the Genetics of Alcoholism who were between ages 18-65 and had ever used alcohol. Participants completed the Semi-Structured Assessment for the Genetics of Alcoholism and provided saliva or blood samples for genotyping. Results indicated that social support from friends, but not family, moderated the association between alc-PRS and alcohol use among EAs and AAs (only in middle adulthood for AAs); alc-PRS was associated with higher levels of alcohol use when friend support was low, but not when friend support was high. Associations were similar across sex but differed across developmental stages. Findings support the important role of social support from friends in buffering genetic risk for alcohol use among EA and AA adults and highlight the need to consider developmental changes in the role of social support in relation to alcohol use.
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Affiliation(s)
- Jinni Su
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Fazil Aliev
- Department of Psychiatry, Rutgers University, New Brunswick, NJ, USA
| | - Jill A Rabinowitz
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Belal Jamil
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Meredith Francis
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Sivan Kinreich
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Donbing Lai
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Jacquelyn Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Ashwini Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | - Gayathri Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, USA
| | | | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, New Brunswick, NJ, USA
| | - Danielle M Dick
- Rutgers Addiction Research Center, Rutgers University, New Brunswick, NJ, USA
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Miller AP, Kuo SIC, Johnson EC, Tillman R, Brislin SJ, Dick DM, Kamarajan C, Kinreich S, Kramer J, McCutcheon VV, Plawecki MH, Porjesz B, Schuckit MA, Salvatore JE, Edenberg HJ, Bucholz KK, Meyers JL, Agrawal A. Diagnostic Criteria for Identifying Individuals at High Risk of Progression From Mild or Moderate to Severe Alcohol Use Disorder. JAMA Netw Open 2023; 6:e2337192. [PMID: 37815828 PMCID: PMC10565602 DOI: 10.1001/jamanetworkopen.2023.37192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/22/2023] [Indexed: 10/11/2023] Open
Abstract
Importance Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria. Objective To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. Design, Setting, and Participants This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. Main Outcomes and Measures Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). Results A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. Conclusions and Relevance In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sally I-Chun Kuo
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Sarah J. Brislin
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Danielle M. Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City
| | - Vivia V. McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | | | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego
| | - Jessica E. Salvatore
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
| | - Jaquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
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Meyers JL, Brislin SJ, Kamarajan C, Plawecki MH, Chorlian D, Anohkin A, Kuperman S, Merikangas A, Pandey G, Kinreich S, Pandey A, Edenberg HJ, Bucholz KK, Almasy L, Porjesz B. The collaborative study on the genetics of alcoholism: Brain function. Genes Brain Behav 2023; 22:e12862. [PMID: 37587903 PMCID: PMC10550791 DOI: 10.1111/gbb.12862] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 08/18/2023]
Abstract
Alcohol use disorder (AUD) and related health conditions result from a complex interaction of genetic, neural and environmental factors, with differential impacts across the lifespan. From its inception, the Collaborative Study on the Genetics of Alcoholism (COGA) has focused on the importance of brain function as it relates to the risk and consequences of alcohol use and AUD, through the examination of noninvasively recorded brain electrical activity and neuropsychological tests. COGA's sophisticated neurophysiological and neuropsychological measures, together with rich longitudinal, multi-modal family data, have allowed us to disentangle brain-related risk and resilience factors from the consequences of prolonged and heavy alcohol use in the context of genomic and social-environmental influences over the lifespan. COGA has led the field in identifying genetic variation associated with brain functioning, which has advanced the understanding of how genomic risk affects AUD and related disorders. To date, the COGA study has amassed brain function data on over 9871 participants, 7837 with data at more than one time point, and with notable diversity in terms of age (from 7 to 97), gender (52% female), and self-reported race and ethnicity (28% Black, 9% Hispanic). These data are available to the research community through several mechanisms, including directly through the NIAAA, through dbGAP, and in collaboration with COGA investigators. In this review, we provide an overview of COGA's data collection methods and specific brain function measures assessed, and showcase the utility, significance, and contributions these data have made to our understanding of AUD and related disorders, highlighting COGA research findings.
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Affiliation(s)
- Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Sarah J. Brislin
- Department of Psychiatry, Robert Wood Johnson Medical SchoolRutgers UniversityNew BrunswickNew JerseyUSA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | | | - David Chorlian
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Andrey Anohkin
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | - Samuel Kuperman
- Department of PsychiatryUniversity of IowaIowa CityIndianaUSA
| | - Alison Merikangas
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Penn‐CHOP Lifespan Brain InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Ashwini Pandey
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
| | - Howard J. Edenberg
- Department of Biochemistry and Molecular BiologyIndiana UniversityBloomingtonIndianaUSA
| | - Kathleen K. Bucholz
- Department of PsychiatryWashington University in St. LouisSt. LouisMissouriUSA
| | | | - Laura Almasy
- Department of Biomedical and Health InformaticsChildren's Hospital of PhiladelphiaPhiladelphiaPennsylvaniaUSA
- Penn‐CHOP Lifespan Brain InstituteUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Genetics, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral SciencesState University of New York Downstate Medical CenterBrooklynNew YorkUSA
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Seyedsadjadi N, Ramchandani VA, Plawecki MH, Kosobud AEK, O'Connor S, Rowitz B, Pepino MY. Response to commentary on: "Fat-free mass accounts for most of the variance in alcohol elimination rate in women". Alcohol Clin Exp Res (Hoboken) 2023; 47:1646-1648. [PMID: 37407434 DOI: 10.1111/acer.15142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/19/2023] [Accepted: 06/25/2023] [Indexed: 07/07/2023]
Affiliation(s)
- Neda Seyedsadjadi
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Vijay A Ramchandani
- Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ann E K Kosobud
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sean O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Blair Rowitz
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Surgery, Carle Foundation Hospital, Urbana, Illinois, USA
| | - Marta Yanina Pepino
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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10
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Lungwitz EA, Dzemidzic M, Shen YI, Plawecki MH, Oberlin BG. Brain response in heavy drinkers during cross-commodity alcohol and money discounting with potentially real rewards: A preliminary study. Drug Alcohol Depend Rep 2023; 8:100175. [PMID: 37753349 PMCID: PMC10518510 DOI: 10.1016/j.dadr.2023.100175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/09/2023] [Accepted: 06/12/2023] [Indexed: 09/28/2023]
Abstract
Background Alcohol use disorder (AUD) is associated with exaggerated preference for immediate rewards, a candidate endophenotype for use disorders. Addiction symptomology is often well-described by the preference for immediate intoxication over other delayed prosocial rewards. We measured brain activation in AUD-implicated regions during a cross-commodity delay discounting (CCD) task with choices for immediate alcohol and delayed money. Methods Heavy drinkers (n=24) experienced a brief intravenous alcohol infusion prime, regained sobriety, then chose between 'One Shot' and delayed money in an adjusting delay CCD task (sober and intoxicated); also during fMRI (sober). Participants also performed a behavioral sensation seeking task and completed self-report inventories of other risk factors. We assessed brain activation to choices representing immediate intoxication versus delayed money rewards in a priori regions of interest defined within the framework of Addictions NeuroImaging Assessment. Results Activation to CCD choice versus control trials activated paralimbic and ventral frontal cortical regions, including orbital and medial prefrontal cortex, posterior cingulate/retrosplenial cortex, angular and superior frontal gyri. We detected no differences between immediate or delayed choices. Left medial orbitofrontal cortex activation correlated with alcohol-induced wanting for alcohol; females showed greater activation than males. Behavioral sensation seeking correlated with right nucleus accumbens task engagement. Conclusions Alcohol decision-making elicited activation in regions governing reward, introspection, and executive decision-making in heavy drinkers, demonstrating the utility of laboratory tasks designed to better model real-world choice. Our findings suggest that the brain processes subserving immediate and delayed choices are mostly overlapping, even with varied commodities.
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Affiliation(s)
- Elizabeth A. Lungwitz
- Department of Psychiatry, Indiana University School of Medicine (IUSM); 355 W 16th St, Ste 4800; Indianapolis, IN 46202, USA
| | - Mario Dzemidzic
- Department of Neurology, IUSM; 355 W 16th St, Ste 4600; Indianapolis, IN 46202, USA
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, IUSM; 355 W 16th St, Ste 4100; Indianapolis, IN 46202, USA
| | - Yitong I. Shen
- Department of Psychiatry, Indiana University School of Medicine (IUSM); 355 W 16th St, Ste 4800; Indianapolis, IN 46202, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine (IUSM); 355 W 16th St, Ste 4800; Indianapolis, IN 46202, USA
| | - Brandon G. Oberlin
- Department of Psychiatry, Indiana University School of Medicine (IUSM); 355 W 16th St, Ste 4800; Indianapolis, IN 46202, USA
- Department of Neurology, IUSM; 355 W 16th St, Ste 4600; Indianapolis, IN 46202, USA
- Department of Psychology, Indiana University Purdue University Indianapolis; 402 N Blackford St, LD124; Indianapolis, IN 46202, USA
- Stark Neurosciences Research Institute, IUSM; 320 W 15th St, Ste 414; Indianapolis, IN 46202 USA
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11
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Olsson Y, Hodzic K, Wass C, Lidö H, Stangl BL, O'Connor S, Plawecki MH, Ramchandani VA, Söderpalm B, Jerlhag E. Free-access intravenous alcohol self-administration in social drinkers and individuals with alcohol use disorder: Evaluation of relationships with phosphatidylethanol and self-reported alcohol consumption. Alcohol Clin Exp Res (Hoboken) 2023; 47:1453-1466. [PMID: 37331818 DOI: 10.1111/acer.15132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/08/2023] [Accepted: 06/05/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND The free-access (FA) intravenous alcohol self-administration (IV-ASA) paradigm is an experimental approach that can identify modulators of alcohol consumption in humans. Moreover, the outcome measures of IV-ASA paradigms are associated with self-reported alcohol intake using the timeline follow-back method (TLFB). To evaluate how FA IV-ASA reflects drinking in real life, we examined the relationship between an objective marker of recent alcohol intake, phosphatidylethanol in blood (B-PEth), and TLFB and measures obtained during IV-ASA in individuals with alcohol use disorder (AUD) and social drinkers (SD). We also explored the associations between these measures and gut-brain peptides involved in AUD pathophysiology. METHODS Thirty-eight participants completed a laboratory session in which they self-administered alcohol intravenously. The safety limit was 200 mg%, and main outcomes were mean and peak breath alcohol concentrations (BrAC). Blood samples were drawn prior to IV-ASA and subjective alcohol effects were rated during the experiment. RESULTS The study sample comprised 24 SD and 14 participants with DSM-5 mild AUD. Although BrACs were not associated with B-PEth or TLFB in the full sample or AUD subgroup, there was an association with TLFB in SD. In both subgroups, BrACs were associated with alcohol craving but with differential timing. Total ghrelin levels were higher in AUD participants than in SD. CONCLUSIONS No associations between B-PEth levels and achieved BrACs were observed in the mild AUD group, the SD group, or the full sample. The ability for FA IV-ASA to reflect recent drinking was confirmed only for TLFB in SD, whereas there were no associations within the smaller subsample of participants with mild AUD or in the full sample. Further studies that include a larger AUD sample are warranted. The association of BrACs with craving for alcohol suggests that the IV-ASA method may be useful for assessing interventions that target craving. This could be explored by using the FA IV-ASA model to evaluate the effects on craving of approved pharmacotherapies for AUD.
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Affiliation(s)
- Yasmin Olsson
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Beroendekliniken, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kenan Hodzic
- Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Caroline Wass
- Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Helga Lidö
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Beroendekliniken, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Bethany L Stangl
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA
| | - Sean O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Vijay A Ramchandani
- Human Psychopharmacology Laboratory, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA
| | - Bo Söderpalm
- Addiction Biology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Beroendekliniken, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Elisabet Jerlhag
- Department of Pharmacology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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12
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Saenz de Viteri S, Zhang J, Johnson EC, Barr PB, Edenberg HJ, Hesselbrock VM, Nurnberger JI, Pandey AK, Kamarajan C, Kinreich S, Tischfield JA, Plawecki MH, Kramer JR, Lai D, Kuperman S, Chan G, McCutcheon VV, Bucholz KK, Porjesz B, Meyers JL. Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders. Mol Psychiatry 2023; 28:3391-3396. [PMID: 37344610 PMCID: PMC10618091 DOI: 10.1038/s41380-023-02117-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/04/2023] [Accepted: 05/11/2023] [Indexed: 06/23/2023]
Abstract
Recent genome-wide association studies (GWAS) have identified genetic markers of post-traumatic stress disorder (PTSD) in civilian and military populations. However, studies have yet to examine the genetics of PTSD while factoring in risk for alcohol dependence, which commonly co-occur. We examined genome-wide associations for DSM-IV PTSD among 4,978 trauma-exposed participants (31% with alcohol dependence, 50% female, 30% African ancestry) from the Collaborative Study on the Genetics of Alcoholism (COGA). We also examined associations of polygenic risk scores (PRS) derived from the Psychiatric Genomics Consortium (PGC)-PTSD Freeze 2 (N = 3533) and Million Veterans Program GWAS of PTSD (N = 5200) with PTSD and substance dependence in COGA, and moderating effects of sex and alcohol dependence. 7.3% of COGA participants met criteria for PTSD, with higher rates in females (10.1%) and those with alcohol dependence (12.3%). No independent loci met genome-wide significance in the PTSD meta-analysis of European (EA) and African ancestry (AA) participants. The PGC-PTSD PRS was associated with increased risk for PTSD (B = 0.126, p < 0.001), alcohol dependence (B = 0.231, p < 0.001), and cocaine dependence (B = 0.086, p < 0.01) in EA individuals. A significant interaction was observed, such that EA individuals with alcohol dependence and higher polygenic risk for PTSD were more likely to have PTSD (B = 0.090, p < 0.01) than those without alcohol dependence. These results further support the importance of examining substance dependence, specifically alcohol dependence, and PTSD together when investigating genetic influence on these disorders.
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Affiliation(s)
| | - Jian Zhang
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Emma C Johnson
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Peter B Barr
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | | | | | | | - Ashwini K Pandey
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Chella Kamarajan
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sivan Kinreich
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | | | | | - John R Kramer
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Dongbing Lai
- Indiana University School of Medicine, Indianapolis, IN, USA
| | - Samuel Kuperman
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Grace Chan
- University of Connecticut Health Center, Farmington, CT, USA
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Vivia V McCutcheon
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Bernice Porjesz
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jacquelyn L Meyers
- State University of New York Downstate Health Sciences University, Brooklyn, NY, USA
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13
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Yoder KK, Chumin EJ, Mustafi SM, Kolleck KA, Halcomb ME, Hile KL, Plawecki MH, O'Connor SJ, Dzemidzic M, Wu YC. Effects of acute alcohol exposure and chronic alcohol use on neurite orientation dispersion and density imaging (NODDI) parameters. Psychopharmacology (Berl) 2023; 240:1465-1472. [PMID: 37209164 PMCID: PMC10594986 DOI: 10.1007/s00213-023-06380-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 04/28/2023] [Indexed: 05/22/2023]
Abstract
RATIONALE Little is known about how acute and chronic alcohol exposure may alter the in vivo membrane properties of neurons. OBJECTIVES We employed neurite orientation dispersion and density imaging (NODDI) to examine acute and chronic effects of alcohol exposure on neurite density. METHODS Twenty-one healthy social drinkers (CON) and thirteen nontreatment-seeking individuals with alcohol use disorder (AUD) underwent a baseline multi-shell diffusion magnetic resonance imaging (dMRI) scan. A subset (10 CON, 5 AUD) received dMRI during intravenous infusions of saline and alcohol during dMRI. NODDI parametric images included orientation dispersion (OD), isotropic volume fraction (ISOVF), and corrected intracellular volume fraction (cICVF). Diffusion tensor imaging metrics of fractional anisotropy and mean, axial, and radial diffusivity (FA, MD, AD, RD) were also computed. Average parameter values were extracted from white matter (WM) tracts defined by the Johns Hopkins University atlas. RESULTS There were group differences in FA, RD, MD, OD, and cICVF, primarily in the corpus callosum. Both saline and alcohol had effects on AD and cICVF in WM tracts proximal to the striatum, cingulate, and thalamus. This is the first work to indicate that acute fluid infusions may alter WM properties, which are conventionally believed to be insensitive to acute pharmacological challenges. It also suggests that the NODDI approach may be sensitive to transient changes in WM. The next steps should include determining if the effect on neurite density differs with solute or osmolality, or both, and translational studies to assess how alcohol and osmolality affect the efficiency of neurotransmission.
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Affiliation(s)
- Karmen K Yoder
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA.
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA.
- Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 W. 15th Street, Ste. 414, Indianapolis, IN, 46202, USA.
| | - Evgeny J Chumin
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 W. 15th Street, Ste. 414, Indianapolis, IN, 46202, USA
- Department of Psychological and Brain Sciences, Indiana University, 1101 E 10th St, IN, 47405, Bloomington, USA
- Indiana University Network Science Institute, Indiana University, 1015 E 11th St, Bloomington, IN, 47408, USA
| | - Sourajit M Mustafi
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
| | - Kelly A Kolleck
- Indiana University School of Medicine, 340 W. 10th St., Indianapolis, IN, 46202, USA
| | - Meredith E Halcomb
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
| | - Karen L Hile
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4800, Indianapolis, IN, 46202, USA
| | - Sean J O'Connor
- Department of Psychiatry, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4800, Indianapolis, IN, 46202, USA
| | - Mario Dzemidzic
- Department of Neurology, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4700, Indianapolis, IN, 46202, USA
| | - Yu-Chien Wu
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Center for Neuroimaging, Indiana Institute of Biomedical Imaging, Indiana University School of Medicine, 355 W. 16th St., GH Ste. 4100, Indianapolis, IN, 46202, USA
- Stark Neurosciences Research Institute, Indiana University School of Medicine, 320 W. 15th Street, Ste. 414, Indianapolis, IN, 46202, USA
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14
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Kamarajan C, Pandey AK, Chorlian DB, Meyers JL, Kinreich S, Pandey G, Subbie-Saenz de Viteri S, Zhang J, Kuang W, Barr PB, Aliev F, Anokhin AP, Plawecki MH, Kuperman S, Almasy L, Merikangas A, Brislin SJ, Bauer L, Hesselbrock V, Chan G, Kramer J, Lai D, Hartz S, Bierut LJ, McCutcheon VV, Bucholz KK, Dick DM, Schuckit MA, Edenberg HJ, Porjesz B. Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. Behav Sci (Basel) 2023; 13:bs13050427. [PMID: 37232664 DOI: 10.3390/bs13050427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive "uplift" life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Ashwini K Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - David B Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Stacey Subbie-Saenz de Viteri
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Peter B Barr
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | | | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Laura Almasy
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alison Merikangas
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Dongbing Lai
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sarah Hartz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California, San Diego, CA 92103, USA
| | | | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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15
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Johnson EC, Colbert SMC, Jeffries PW, Tillman R, Bigdeli TB, Karcher NR, Chan G, Kuperman S, Meyers JL, Nurnberger JI, Plawecki MH, Degenhardt L, Martin NG, Kamarajan C, Schuckit MA, Murray RM, Dick DM, Edenberg HJ, D’Souza DC, Di Forti M, Porjesz B, Nelson EC, Agrawal A. Associations Between Cannabis Use, Polygenic Liability for Schizophrenia, and Cannabis-related Experiences in a Sample of Cannabis Users. Schizophr Bull 2023; 49:778-787. [PMID: 36545904 PMCID: PMC10154717 DOI: 10.1093/schbul/sbac196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND HYPOTHESIS Risk for cannabis use and schizophrenia is influenced in part by genetic factors, and there is evidence that genetic risk for schizophrenia is associated with subclinical psychotic-like experiences (PLEs). Few studies to date have examined whether genetic risk for schizophrenia is associated with cannabis-related PLEs. STUDY DESIGN We tested whether measures of cannabis involvement and polygenic risk scores (PRS) for schizophrenia were associated with self-reported cannabis-related experiences in a sample ascertained for alcohol use disorders (AUDs), the Collaborative Study on the Genetics of Alcoholism (COGA). We analyzed 4832 subjects (3128 of European ancestry and 1704 of African ancestry; 42% female; 74% meeting lifetime criteria for an AUD). STUDY RESULTS Cannabis use disorder (CUD) was prevalent in this analytic sample (70%), with 40% classified as mild, 25% as moderate, and 35% as severe. Polygenic risk for schizophrenia was positively associated with cannabis-related paranoia, feeling depressed or anhedonia, social withdrawal, and cognitive difficulties, even when controlling for duration of daily cannabis use, CUD, and age at first cannabis use. The schizophrenia PRS was most robustly associated with cannabis-related cognitive difficulties (β = 0.22, SE = 0.04, P = 5.2e-7). In an independent replication sample (N = 1446), associations between the schizophrenia PRS and cannabis-related experiences were in the expected direction and not statistically different in magnitude from those in the COGA sample. CONCLUSIONS Among individuals who regularly use cannabis, genetic liability for schizophrenia-even in those without clinical features-may increase the likelihood of reporting unusual experiences related to cannabis use.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Paul W Jeffries
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Tim B Bigdeli
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Nicole R Karcher
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Danielle M Dick
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Deepak Cyril D’Souza
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Psychiatry Service, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Marta Di Forti
- Department of Social Genetics and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, Saint Louis, MO, USA
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16
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Schuckit MA, Smith TL, Danko G, Tear J, Hennies J, Mendoza LA, Hesselbrock V, Edenberg HJ, Hesselbrock M, Bucholz K, Chan G, Kuperman S, Francis MW, Plawecki MH. Changes over time in endorsement of 11 DSM-IV alcohol use disorder (AUD) criteria in young adults with persistent or recurrent AUD in The Collaborative Study on the Genetics of Alcoholism. Alcohol Clin Exp Res (Hoboken) 2023; 47:919-929. [PMID: 36924463 PMCID: PMC10308878 DOI: 10.1111/acer.15054] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/12/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND Endorsement of specific Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) alcohol use disorder (AUD) criteria have been shown to change significantly over time in men in their thirties who have persistent or recurrent AUD. However, few studies have documented whether the endorsement of AUD items changes over time in younger individuals or in women. We evaluated changes in the endorsement of AUD criteria in 377 men and women with persistent or recurrent AUD during their twenties. METHODS Information on AUD-item endorsement over time was available for 223 men and 154 women aged 20-25 with persistent or recurrent AUD in at least three interviews in the Collaborative Study on the Genetics of Alcoholism. The statistical significance of endorsement changes over time was evaluated using the related-sample Cochran's Q test for the full sample and for men and women separately. Additional analyses evaluated sex differences in the patterns of change. RESULTS In the full sample, the predominant pattern was for a significant increase in the rates of endorsement for six of the seven alcohol dependence criteria but not in the four abuse criteria. A similar pattern was seen within men, but women had significant changes in only three of the seven dependence criteria. CONCLUSIONS Endorsement of the seven alcohol dependence criteria among individuals with persistent or recurrent AUD in their twenties generally increased, but few changes were observed in the rates of endorsement of the four abuse criteria. These results are discussed in terms of how they reflect on the nature of AUD and the DSM criteria.
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Affiliation(s)
- Marc A Schuckit
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Tom L Smith
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - George Danko
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Jake Tear
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Jessica Hennies
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Lee Anne Mendoza
- University of California, San Diego, 8950 Villa La Jolla Drive. Suite B-218, La Jolla, California, 92037, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, 263 Farmington Ave. MC-2103, Farmington, Connecticut, 06030-1410, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, 635 Barnhill Drive, MS4063, Indianapolis, Indiana, 46202-5122, USA
| | - Michie Hesselbrock
- Department of Psychiatry, University of Connecticut, 263 Farmington Ave. MC-2103, Farmington, Connecticut, 06030-1410, USA
| | - Kathleen Bucholz
- Psychiatry, Washington Univ. School of Medicine, 4560 Clayton Ave, Suite 1000, Saint Louis, Missouri, 63110, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut Health Center, 263 Farmington Ave, MC 2103, Farmington, Connecticut, 06030-2103, USA
| | - Samuel Kuperman
- Child Psychiatry Clinic, UIHC Department of Psychiatry, The University of Iowa, 200 Hawkins Drive RM#2701-C JPP, Iowa City, Iowa, 52242-1057, USA
| | - Meredith W Francis
- Department of Psychiatry, Brown School of Social Work, Washington University in Saint Louis, 1 Brookings Drive, Saint Louis, Missouri, 63130, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Goodman Hall, 355 West 16th Street, Suite 4800, Indianapolis, Indiana, 46202, USA
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17
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Barr PB, Neale Z, Schulman J, Mullins N, Zhang J, Chorlian DB, Kamarajan C, Kinreich S, Pandey AK, Pandey G, de Viteri SS, Acion L, Bauer L, Bucholz KK, Chan G, Chao M, Dick DM, Edenberg HJ, Foroud T, Goate A, Hesselbrock V, Johnson EC, Kramer J, Lai D, Plawecki MH, Salvatore JE, Wetherill L, Agrawal A, Porjesz B, Meyers JL. Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence. medRxiv 2023:2023.04.28.23289173. [PMID: 37162915 PMCID: PMC10168504 DOI: 10.1101/2023.04.28.23289173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Research has identified clinical, genomic, and neurophysiological markers associated with suicide attempts (SA) among individuals with psychiatric illness. However, there is limited research among those with an alcohol use disorder, despite their disproportionately higher rates of SA. We examined lifetime SA in 4,068 individuals with DSM-IV alcohol dependence from the Collaborative Study on the Genetics of Alcoholism (23% lifetime suicide attempt; 53% female; 17% Admixed African American ancestries; mean age: 38). We 1) explored clinical risk factors associated with SA, 2) conducted a genome-wide association study of SA, 3) examined whether individuals with a SA had elevated polygenic scores for comorbid psychiatric conditions (e.g., alcohol use disorders, lifetime suicide attempt, and depression), and 4) explored differences in electroencephalogram neural functional connectivity between those with and without a SA. One gene-based finding emerged, RFX3 (Regulatory Factor X, located on 9p24.2) which had supporting evidence in prior research of SA among individuals with major depression. Only the polygenic score for suicide attempts was associated with reporting a suicide attempt (OR = 1.20, 95% CI = 1.06, 1.37). Lastly, we observed decreased right hemispheric frontal-parietal theta and decreased interhemispheric temporal-parietal alpha electroencephalogram resting-state coherences among those participants who reported a SA relative to those who did not, but differences were small. Overall, individuals with alcohol dependence who report SA appear to experience a variety of severe comorbidities and elevated polygenic risk for SA. Our results demonstrate the need to further investigate suicide attempts in the presence of substance use disorders.
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Affiliation(s)
- Peter B. Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- VA New York Harbor Healthcare System, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Zoe Neale
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- VA New York Harbor Healthcare System, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
| | | | - Niamh Mullins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Jian Zhang
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - David B. Chorlian
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Ashwini K. Pandey
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | | | - Laura Acion
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Lance Bauer
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT
| | - Kathleen K. Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO
| | - Grace Chan
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT
| | - Michael Chao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Alison Goate
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Victor Hesselbrock
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT
| | - Emma C. Johnson
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO
| | - John Kramer
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN
| | - Arpana Agrawal
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY
- VA New York Harbor Healthcare System, Brooklyn, NY
- Institute for Genomics in Health (IGH), SUNY Downstate Health Sciences University, Brooklyn, NY
- Department of Epidemiology and Biostatistics, School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, NY
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18
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Spreer M, Grählert X, Klut IM, Al Hamdan F, Sommer WH, Plawecki MH, O'Connor S, Böttcher M, Sauer C, Smolka MN, Zimmermann US. Using naltrexone to validate a human laboratory test system to screen new medications for alcoholism (TESMA)- a randomized clinical trial. Transl Psychiatry 2023; 13:113. [PMID: 37019884 PMCID: PMC10076427 DOI: 10.1038/s41398-023-02404-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 03/17/2023] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
This registered clinical trial sought to validate a laboratory test system devised to screen medications for alcoholism treatment (TESMA) under different contingencies of alcohol reinforcement. Forty-six nondependent, but at least medium-risk drinkers were given the opportunity to earn intravenous infusions of ethanol, or saline, as rewards for work in a progressive-ratio paradigm. Work demand pattern and alcohol exposure dynamics were devised to achieve a gradual shift from low-demand work for alcohol (WFA) permitting quickly increasing breath alcohol concentrations (BrAC) to high-demand WFA, which could only decelerate an inevitable decrease of the previously earned BrAC. Thereby, the reward contingency changed, modeling different drinking motivations. The experiment was repeated after at least 7 days of randomized, double-blinded treatment with naltrexone, escalated to 50 mg/d, or placebo. Subjects treated with naltrexone reduced their cumulative WFA (cWFA) slightly more than participants receiving placebo. This difference was not statistically significant in the preplanned analysis of the entire 150 min of self-administration, i.e., our primary endpoint (p = 0.471, Cohen's d = 0.215). Naltrexone serum levels correlated with change in cWFA (r = -0.53; p = 0.014). Separate exploratory analyses revealed that naltrexone significantly reduced WFA during the first, but not the second half of the experiment (Cohen's d = 0.643 and 0.14, respectively). Phase-dependent associations of WFA with changes in subjective stimulation, wellbeing and desire for alcohol suggested that the predominant reinforcement of WFA was positive during the first phase only, and might have been negative during the second. We conclude that the TESMA is a safe and practical method. It bears the potential to quickly and efficiently screen new drugs for their efficacy to attenuate positively reinforced alcohol consumption. It possibly also provides a condition of negative reinforcement, and for the first time provides experimental evidence suggesting that naltrexone's effect might depend on reward contingency.
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Affiliation(s)
- Maik Spreer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany.
| | - Xina Grählert
- Coordination Centre for Clinical Trials, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Ina-Maria Klut
- Hospital-Pharmacy, University Hospital Carl Gustav Carus Dresden, Dresden, Germany
| | - Feras Al Hamdan
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany
| | - Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- Bethanian Hospital for Psychiatry, Psychosomatics and Psychotherapy Greifswald, Greifswald, Germany
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sean O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Michael Böttcher
- Department of Toxicology, MVZ Medizinische Labore Dessau Kassel GmbH, Dessau-Rosslau, Germany
| | - Cathrin Sauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany
| | - Ulrich S Zimmermann
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus of the Technische Universität Dresden, Dresden, Germany
- Department of Addiction Medicine and Psychotherapy, kbo Isar-Amper-Klinikum Region München, Munich, Germany
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19
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Kuo SIC, Thomas NS, Aliev F, Bucholz KK, Dick DM, McCutcheon VV, Meyers JL, Chan G, Kamarajan C, Kramer JR, Hesselbrock V, Plawecki MH, Porjesz B, Tischfield J, Salvatore JE. Association of parental divorce, discord, and polygenic risk with children's alcohol initiation and lifetime risk for alcohol use disorder. Alcohol Clin Exp Res (Hoboken) 2023; 47:724-735. [PMID: 36807915 PMCID: PMC10149624 DOI: 10.1111/acer.15042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/25/2023] [Accepted: 02/14/2023] [Indexed: 02/21/2023]
Abstract
BACKGROUND Parental divorce and discord are associated with poorer alcohol-related outcomes for offspring. However, not all children exposed to these stressors develop alcohol problems. Our objective was to test gene-by-environment interaction effects whereby children's genetic risk for alcohol problems modifies the effects of parental divorce and discord to predict alcohol outcomes. METHODS The sample included European (EA; N = 5608, 47% male, Mage ~ 36 years) and African (AA; N = 1714, 46% female, Mage ~ 33 years) ancestry participants from the Collaborative Study on the Genetics of Alcoholism. Outcomes included age at initiation of regular drinking and lifetime DSM-5 alcohol use disorder (AUD). Predictors included parental divorce, parental relationship discord, and offspring alcohol problems polygenic risk scores (PRSALC ). Mixed effects Cox proportional hazard models were used to examine alcohol initiation and generalized linear mixed effects models were used to examine lifetime AUD. Tests of PRS moderation of the effects of parental divorce/relationship discord on alcohol outcomes were examined on multiplicative and additive scales. RESULTS Among EA participants, parental divorce, parental discord, and higher PRSALC were associated with earlier alcohol initiation and greater lifetime AUD risk. Among AA participants, parental divorce was associated with earlier alcohol initiation and discord was associated with earlier initiation and AUD. PRSALC was not associated with either. Parental divorce/discord and PRSALC interacted on an additive scale in the EA sample, but no interactions were found in AA participants. CONCLUSIONS Children's genetic risk for alcohol problems modifies the impact of parental divorce/discord, consistent with an additive model of diathesis-stress interaction, with some differences across ancestry.
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Affiliation(s)
- Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Nathaniel S. Thomas
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Danielle M. Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
| | - Vivia V. McCutcheon
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa, Iowa City, Iowa, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University, Indianapolis, Indiana, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, New Jersey, USA
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20
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Seyedsadjadi N, Ramchandani VA, Plawecki MH, Kosobud AEK, O'Connor S, Rowitz B, Pepino MY. Fat-free mass accounts for most of the variance in alcohol elimination rate in women. Alcohol Clin Exp Res 2023. [PMID: 36871954 DOI: 10.1111/acer.15047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/26/2023] [Accepted: 02/25/2023] [Indexed: 03/07/2023]
Abstract
BACKGROUND Understanding how blood alcohol concentrations (BAC) achieved after drinking are determined is critical to predicting alcohol exposure to the brain and other organs and alcohol's effects. However, predicting end-organ exposures is challenging, as there is wide variation in BAC achieved after drinking a specified volume of alcohol. This variation is partly due to differences in body composition and alcohol elimination rates (AER), but there are limited data on how obesity affects AER. Here, we assess associations between obesity, fat-free mass (FFM), and AER in women and examine whether bariatric surgeries, which are linked to an increased risk of alcohol misuse, affect these associations. METHODS We analyzed data from three studies that used similar intravenous alcohol clamping procedures to estimate AER in 143 women (21 to 64 years old) with a wide range of body mass index (BMI; 18.5 to 48.4 kg/m2 ). Body composition was measured in a subgroup using dual-energy X-ray absorptiometry (n = 42) or Bioimpedance (n = 60), and 19 of the women underwent bariatric surgery 2.1 ± 0.3 years before participation. We analyzed data using multiple linear regression analyses. RESULTS Obesity and older age were associated with a faster AER (BMI: rs = 0.70 and age: rs = 0.61, both p < 0.001). Compared to women with normal weight, AER was 52% faster (95% Confidence Interval: 42% to 61%) in women with obesity. However, BMI lost predictive value when adding fat-free mass (FFM) to the regression model. Age, FFM, and its interaction explained 72% of individual variance in AER (F (4, 97) = 64.3, p < 0.001). AER was faster in women with higher FFM, particularly women in the top tertile of age. After controlling for FFM and age, bariatric surgery was not associated with differences in AER (p = 0.74). CONCLUSIONS Obesity is associated with a faster AER, but this association is mediated by an obesity-related increase in FFM, particularly in older women. Previous findings of a reduced alcohol clearance following bariatric surgery compared with prior to surgery are likely explained by a reduction in FFM post-surgery.
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Affiliation(s)
- Neda Seyedsadjadi
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Vijay A Ramchandani
- Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Ann E K Kosobud
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sean O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Blair Rowitz
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Department of Surgery, Carle Foundation Hospital, Urbana, Illinois, USA
| | - Marta Yanina Pepino
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.,Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
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21
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Thomas NS, Salvatore JE, Kuo SIC, Aliev F, McCutcheon VV, Meyers JM, Bucholz KK, Brislin SJ, Chan G, Edenberg HJ, Kamarajan C, Kramer JR, Kuperman S, Pandey G, Plawecki MH, Schuckit MA, Dick DM. Genetic nurture effects for alcohol use disorder. Mol Psychiatry 2023; 28:759-766. [PMID: 36253439 PMCID: PMC10079179 DOI: 10.1038/s41380-022-01816-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/09/2022]
Abstract
We tested whether aspects of the childhood/adolescent home environment mediate genetic risk for alcohol problems within families across generations. Parental relationship discord and parental divorce were the focal environments examined. The sample included participants of European ancestry (N = 4806, 51% female) and African ancestry (N = 1960, 52% female) from the high-risk Collaborative Study on the Genetics of Alcoholism. Alcohol outcomes in the child generation included lifetime criterion counts for DSM-5 Alcohol Use Disorder (AUD), lifetime maximum drinks in 24 h, age at initiation of regular drinking, and age at first alcohol intoxication. Predictors in the parent generation included relationship discord, divorce, alcohol measures parallel to those in the child generation, and polygenic scores for alcohol problems. Parental polygenic scores were partitioned into alleles that were transmitted and non-transmitted to the child. The results from structural equation models were consistent with genetic nurture effects in European ancestry families. Exposure to parental relationship discord and parental divorce mediated, in part, the transmission of genetic risk for alcohol problems from parents to children to predict earlier ages regular drinking (βindirect = -0.018 [-0.026, -0.011]) and intoxication (βindirect = -0.015 [-0.023, -0.008]), greater lifetime maximum drinks (βindirect = 0.006 [0.002, 0.01]) and more lifetime AUD criteria (βindirect = 0.011 [0.006, 0.016]). In contrast, there was no evidence that parental alleles had indirect effects on offspring alcohol outcomes via parental relationship discord or divorce in the smaller number of families of African ancestry. In conclusion, parents transmit genetic risk for alcohol problems to their children not only directly, but also indirectly via genetically influenced aspects of the home environment. Further investigation of genetic nurture in non-European samples is needed.
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Affiliation(s)
- Nathaniel S Thomas
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA.
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA.
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jacquelyn M Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Health Sciences University, Brooklyn, NY, USA
| | | | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego Medical School, San Diego, CA, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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22
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Colbert SMC, Mullins N, Chan G, Meyers JL, Schulman J, Kuperman S, Lai D, Nurnberger J, Plawecki MH, Kamarajan C, Anokhin AP, Bucholz KK, Hesselbrock V, Edenberg HJ, Kramer J, Dick DM, Porjesz B, Agrawal A, Johnson EC. Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders. Complex Psychiatry 2023; 9:11-23. [PMID: 38058956 PMCID: PMC10697665 DOI: 10.1159/000529164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/03/2023] [Indexed: 12/08/2023] Open
Abstract
Introduction Suicidal thoughts and behaviors have partially distinct genetic etiologies. Methods We used PRS-CS to create polygenic risk scores (PRSs) from GWAS of non-suicidal self-injury, broad-sense self-harm ideation, nonfatal suicide attempt, death by suicide, and depression. Using mixed-effect models, we estimated whether these PRSs were associated with a range of suicidal thoughts and behaviors in the Collaborative Study on the Genetics of Alcoholism (N = 7,526). Results All PRSs were significantly associated with suicidal ideation and suicide attempt (betas = 0.08-0.44, false discovery rate [FDR] <0.023). All PRSs except non-suicidal self-injury PRS were associated with active suicidal ideation (betas = 0.14-0.22, FDR <0.003). Several associations remained significant in models where all significant PRSs were included as simultaneous predictors, and when all PRSs predicted suicide attempt, the PRS together explained 6.2% of the variance in suicide attempt. Significant associations were also observed between some PRSs and persistent suicidal ideation, non-suicidal self-injury, compounded suicide attempt, and desire to die. Conclusion Our findings suggest that PRS for depression does not explain the entirety of the variance in suicidal thoughts and behaviors, with PRS specifically for suicidal thoughts and behaviors making additional and sometimes unique contributions.
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Affiliation(s)
- Sarah M C Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Niamh Mullins
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Grace Chan
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jessica Schulman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Samuel Kuperman
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Dongbing Lai
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - John Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Martin H Plawecki
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Chella Kamarajan
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Victor Hesselbrock
- Mount Sinai Clinical Intelligence Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Howard J Edenberg
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
- Department of Psychiatry and Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John Kramer
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Danielle M Dick
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Emma C Johnson
- Department of Psychiatry, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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23
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Barr PB, Driver MN, Kuo SIC, Stephenson M, Aliev F, Linnér RK, Marks J, Anokhin AP, Bucholz K, Chan G, Edenberg HJ, Edwards AC, Francis MW, Hancock DB, Harden KP, Kamarajan C, Kaprio J, Kinreich S, Kramer JR, Kuperman S, Latvala A, Meyers JL, Palmer AA, Plawecki MH, Porjesz B, Rose RJ, Schuckit MA, Salvatore JE, Dick DM. Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts. Mol Psychiatry 2022; 27:4633-4641. [PMID: 36195638 PMCID: PMC9938102 DOI: 10.1038/s41380-022-01801-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Substance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (NEUR = 12,659) and African (NAFR = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67). PGS for problematic alcohol use, externalizing, and smoking quantity were associated with alcohol dependence, drug dependence, and nicotine dependence, respectively (OR = 1.11-1.33). PGS for problematic alcohol use and externalizing were also associated with any substance dependence (ORs = 1.09-1.18). The full model explained 6-13% of the variance in SUDs. Those in the top 10% of CERI and PGS had relative risk ratios of 3.86-8.04 for each SUD relative to the bottom 90%. Overall, the combined measures of clinical, environmental, and genetic risk demonstrated modest ability to distinguish between affected and unaffected individuals in young adulthood. PGS were significant but added little in addition to the clinical/environmental risk index. Results from our analysis demonstrate there is still considerable work to be done before tools such as these are ready for clinical applications.
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Affiliation(s)
- Peter B Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.
- VA New York Harbor Healthcare System, Brooklyn, NY, USA.
| | - Morgan N Driver
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Mallory Stephenson
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
| | | | - Jesse Marks
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, Durham, NC, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Kathleen Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Alexis C Edwards
- Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Meredith W Francis
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St Louis, MO, USA
| | - Dana B Hancock
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, Durham, NC, USA
| | - K Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Samuel Kuperman
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Antti Latvala
- Institute of Criminology and Legal Policy, University of Helsinki, Helsinki, Finland
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Martin H Plawecki
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Richard J Rose
- Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Jessica E Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
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24
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Kuo SIC, Poore HE, Barr PB, Chirico IS, Aliev F, Bucholz KK, Chan G, Kamarajan C, Kramer JR, McCutcheon VV, Plawecki MH, Dick DM. The role of parental genotype in the intergenerational transmission of externalizing behavior: Evidence for genetic nurturance. Dev Psychopathol 2022; 34:1-11. [PMID: 36200344 PMCID: PMC10076450 DOI: 10.1017/s0954579422000700] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The purpose of this study was to examine possible pathways by which genetic risk associated with externalizing is transmitted in families. We used molecular data to disentangle the genetic and environmental pathways contributing to adolescent externalizing behavior in a sample of 1,111 adolescents (50% female; 719 European and 392 African ancestry) and their parents from the Collaborative Study on the Genetics of Alcoholism. We found evidence for genetic nurture such that parental externalizing polygenic scores were associated with adolescent externalizing behavior, over and above the effect of adolescents' own externalizing polygenic scores. Mediation analysis indicated that parental externalizing psychopathology partly explained the effect of parental genotype on children's externalizing behavior. We also found evidence for evocative gene-environment correlation, whereby adolescent externalizing polygenic scores were associated with lower parent-child communication, less parent-child closeness, and lower parental knowledge, controlling for parental genotype. These effects were observed among participants of European ancestry but not African ancestry, likely due to the limited predictive power of polygenic scores across ancestral background. These results demonstrate that in addition to genetic transmission, genes influence offspring behavior through the influence of parental genotypes on their children's environmental experiences, and the role of children's genotypes in shaping parent-child relationships.
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Affiliation(s)
- Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Holly E Poore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Peter B Barr
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, USA
| | | | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
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25
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Lai D, Schwantes-An TH, Abreu M, Chan G, Hesselbrock V, Kamarajan C, Liu Y, Meyers JL, Nurnberger JI, Plawecki MH, Wetherill L, Schuckit M, Zhang P, Edenberg HJ, Porjesz B, Agrawal A, Foroud T. Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans. Transl Psychiatry 2022; 12:266. [PMID: 35790736 PMCID: PMC9256707 DOI: 10.1038/s41398-022-02029-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/13/2022] [Accepted: 06/16/2022] [Indexed: 11/09/2022] Open
Abstract
Genome-wide association studies (GWAS) in admixed populations such as African Americans (AA) have limited sample sizes, resulting in poor performance of polygenic risk scores (PRS). Based on the observations that many disease-causing genes are shared between AA and European ancestry (EA) populations, and some disease-causing variants are located within the boundaries of these genes, we proposed a novel gene-based PRS framework (PRSgene) by using variants located within disease-associated genes. Using the AA GWAS of alcohol use disorder (AUD) from the Million Veteran Program and the EA GWAS of problematic alcohol use as the discovery GWAS, we identified 858 variants from 410 genes that were AUD-related in both AA and EA. PRSgene calculated using these variants were significantly associated with AUD in three AA target datasets (P-values ranged from 7.61E-05 to 6.27E-03; Betas ranged from 0.15 to 0.21) and outperformed PRS calculated using all variants (P-values ranged from 7.28E-03 to 0.16; Betas ranged from 0.06 to 0.18). PRSgene were also associated with AUD in an EA target dataset (P-value = 0.02, Beta = 0.11). In AA, individuals in the highest PRSgene decile had an odds ratio of 1.76 (95% CI: 1.32-2.34) to develop AUD compared to those in the lowest decile. The 410 genes were enriched in 54 Gene Ontology biological processes, including ethanol oxidation and processes involving the synaptic system, which are known to be AUD-related. In addition, 26 genes were targets of drugs used to treat AUD or other diseases that might be considered for repurposing to treat AUD. Our study demonstrated that the gene-based PRS had improved performance in evaluating AUD risk in AA and provided new insight into AUD genetics.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Marco Abreu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY, USA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY, USA
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA, USA
| | - Pengyue Zhang
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
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26
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Thomas NS, Kuo SIC, Aliev F, McCutcheon VV, Meyers JM, Chan G, Hesselbrock V, Kamarajan C, Kinreich S, Kramer JR, Kuperman S, Lai D, Plawecki MH, Porjesz B, Schuckit MA, Dick DM, Bucholz KK, Salvatore JE. Alcohol use disorder, psychiatric comorbidities, marriage and divorce in a high-risk sample. Psychol Addict Behav 2022; 36:364-374. [PMID: 35617219 PMCID: PMC9247836 DOI: 10.1037/adb0000840] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To examine associations between alcohol use disorder (AUD), its psychiatric comorbidities, and their interactions, with marital outcomes in a diverse high-risk, genetically informative sample. METHOD Participants included European ancestry (EA; n = 4,045) and African ancestry (AA; n = 1,550) individuals from the multigenerational Collaborative Study on the Genetics of Alcoholism (COGA) sample (56% female, Mage ∼ 41 years). Outcomes were lifetime marriage and divorce. Predictors included lifetime AUD, an alcohol problems polygenic score (PRS), and AUD comorbidities, including conduct or antisocial personality disorder (ASP), cannabis dependence/abuse (CAN), frequent tobacco use (TOB), and major depressive disorder (MDD). Mixed effect Cox models and generalized linear mixed effects models were fit. RESULTS Among EA participants, those with AUD and CAN were less likely to marry (hazard ratios [HRs] 0.70-0.83, ps < 0.01). Among AA participants, those with AUD and TOB were less likely to marry (HRs 0.66-0.82, ps < 0.05) and those with MDD were more likely to marry (HR = 1.34, ps < 0.01). Among EA participants, AUD, CAN, TOB, and MDD were associated with higher odds of divorce (odds ratios [ORs] 1.59-2.21, ps < 0.01). Among AA participants, no predictors were significantly associated with divorce. Significant random effects indicated genetic and environmental influences on marriage, but only environmental factors on divorce. CONCLUSIONS In a high-risk sample, AUD was associated with reduced likelihood of marriage in EA and AA individuals and increased risk of divorce in EA individuals. These associations were largely independent of comorbidities. Genetic and environmental background factors contributed to marriage, while only environmental background factors contributed to divorce. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Sally I-Chun Kuo
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University
| | | | - Jacquelyn M. Meyers
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine
| | | | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center
| | | | | | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University
| | | | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center
| | - Marc A. Schuckit
- Department of Psychiatry, University of California San Diego Medical School
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University
- Department of Human & Molecular Genetics, Virginia Commonwealth University
| | | | - Jessica E. Salvatore
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University
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27
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Stangl BL, Byrd ND, Soundararajan S, Plawecki MH, O’Connor S, Ramchandani VA. The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans. J Vis Exp 2022. [DOI: 10.3791/63576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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28
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Abstract
This cross-sectional study compares alcohol pharmacokinetics in patients who underwent sleeve gastrectomy with control participants who did not undergo surgery.
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Affiliation(s)
- Neda Seyedsadjadi
- Department of Food Science and Human Nutrition, University of Illinois at Urbana Champaign
| | - M. Belen Acevedo
- Department of Food Science and Human Nutrition, University of Illinois at Urbana Champaign
| | - Raul Alfaro
- Department of Food Science and Human Nutrition, University of Illinois at Urbana Champaign
| | - Vijay A. Ramchandani
- Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis
| | - Blair Rowitz
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign
- Carle Illinois School of Medicine, University of Illinois at Urbana-Champaign
- Carle Foundation Hospital, Urbana, Illinois
| | - Marta Yanina Pepino
- Department of Food Science and Human Nutrition, University of Illinois at Urbana Champaign
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign
- Carle Illinois School of Medicine, University of Illinois at Urbana-Champaign
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Lai D, Johnson EC, Colbert S, Pandey G, Chan G, Bauer L, Francis MW, Hesselbrock V, Kamarajan C, Kramer J, Kuang W, Kuo S, Kuperman S, Liu Y, McCutcheon V, Pang Z, Plawecki MH, Schuckit M, Tischfield J, Wetherill L, Zang Y, Edenberg HJ, Porjesz B, Agrawal A, Foroud T. Evaluating risk for alcohol use disorder: Polygenic risk scores and family history. Alcohol Clin Exp Res 2022; 46:374-383. [PMID: 35267208 PMCID: PMC8928056 DOI: 10.1111/acer.14772] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/13/2021] [Accepted: 01/05/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Early identification of individuals at high risk for alcohol use disorder (AUD) coupled with prompt interventions could reduce the incidence of AUD. In this study, we investigated whether Polygenic Risk Scores (PRS) can be used to evaluate the risk for AUD and AUD severity (as measured by the number of DSM-5 AUD diagnostic criteria met) and compared their performance with a measure of family history of AUD. METHODS We studied individuals of European ancestry from the Collaborative Study on the Genetics of Alcoholism (COGA). DSM-5 diagnostic criteria were available for 7203 individuals, of whom 3451 met criteria for DSM-IV alcohol dependence or DSM-5 AUD and 1616 were alcohol-exposed controls aged ≥21 years with no history of AUD or drug dependence. Further, 4842 individuals had a positive first-degree family history of AUD (FH+), 2722 had an unknown family history (FH?), and 336 had a negative family history (FH-). PRS were derived from a meta-analysis of a genome-wide association study of AUD from the Million Veteran Program and scores from the problem subscale of the Alcohol Use Disorders Identification Test in the UK Biobank. We used mixed models to test the association between PRS and risk for AUD and AUD severity. RESULTS AUD cases had higher PRS than controls with PRS increasing as the number of DSM-5 diagnostic criteria increased (p-values ≤ 1.85E-05 ) in the full COGA sample, the FH+ subsample, and the FH? subsample. Individuals in the top decile of PRS had odds ratios (OR) for developing AUD of 1.96 (95% CI: 1.54 to 2.51, p-value = 7.57E-08 ) and 1.86 (95% CI: 1.35 to 2.56, p-value = 1.32E-04 ) in the full sample and the FH+ subsample, respectively. These values are comparable to previously reported ORs for a first-degree family history (1.91 to 2.38) estimated from national surveys. PRS were also significantly associated with the DSM-5 AUD diagnostic criterion count in the full sample, the FH+ subsample, and the FH? subsample (p-values ≤6.7E-11 ). PRS remained significantly associated with AUD and AUD severity after accounting for a family history of AUD (p-values ≤6.8E-10 ). CONCLUSIONS Both PRS and family history were associated with AUD and AUD severity, indicating that these risk measures assess distinct aspects of liability to AUD traits.
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Affiliation(s)
- Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Sarah Colbert
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
| | - Meredith W. Francis
- The Brown School of Social Work, Washington University School of Medicine, St. Louis, MO
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - John Kramer
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Sally Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, VA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Roy J and Lucille A Carver College of Medicine, Iowa City, IA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Vivia McCutcheon
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Zhiping Pang
- Department of Neuroscience and Cell Biology, Child Health Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Marc Schuckit
- Department of Psychiatry, University of California, San Diego Medical School, San Diego, CA
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Yong Zang
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, State University of New York, Downstate Medical Center, Brooklyn, NY
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
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30
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Plawecki MH, Boes J, Wetherill L, Kosobud AEK, Stangl BL, Ramchandani VA, Zimmermann US, Nurnberger JI, Schuckit M, Edenberg HJ, Pandey G, Kamarajan C, Porjesz B, Foroud T, O'Connor S. Binge and high-intensity drinking-Associations with intravenous alcohol self-administration and underlying risk factors. Addict Biol 2022; 27:e13228. [PMID: 36301209 PMCID: PMC9786574 DOI: 10.1111/adb.13228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 06/06/2022] [Accepted: 08/14/2022] [Indexed: 01/24/2023]
Abstract
Some styles of alcohol consumption are riskier than others. How the level and rate of alcohol exposure contribute to the increased risk of alcohol use disorder is unclear, but likely depends on the alcohol concentration time course. We hypothesized that the brain is sensitive to the alcohol concentration rate of change and that people at greater risk would self-administer faster. We developed a novel intravenous alcohol self-administration paradigm to allow participants direct and reproducible control over how quickly their breath alcohol concentration changes. We used drinking intensity and the density of biological family history of alcohol dependence as proxies for risk. Thirty-five alcohol drinking participants aged 21-28 years provided analytical data from a single, intravenous alcohol self-administration session using our computer-assisted alcohol infusion system rate control paradigm. A shorter time to reach 80 mg/dl was associated with increasing multiples of the binge drinking definition (p = 0.004), which was in turn related to higher density of family history of alcoholism (FHD, p = 0.04). Rate-dependent changes in subjective response (intoxication and stimulation) were also associated with FHD (each p = 0.001). Subsequently, given the limited sample size and FHD range, associations between multiples of the binge drinking definition and FHD were replicated and extended in analyses of the Collaborative Study on the Genetics of Alcoholism database. The rate control paradigm models binge and high-intensity drinking in the laboratory and provides a novel way to examine the relationship between the pharmacokinetics and pharmacodynamics of alcohol and potentially the risk for the development of alcohol use disorders.
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Affiliation(s)
- Martin H. Plawecki
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
| | - Julian Boes
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Leah Wetherill
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Ann E. K. Kosobud
- Department of NeurologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Bethany L. Stangl
- Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological ResearchNIAAABethesdaMarylandUSA
| | - Vijay A. Ramchandani
- Human Psychopharmacology Laboratory, Division of Intramural Clinical and Biological ResearchNIAAABethesdaMarylandUSA
| | - Ulrich S. Zimmermann
- Department of Psychiatry and PsychotherapyUniversity Hospital Carl Gustav Carus of the Technische Universität DresdenDresdenGermany,Department of Addiction Medicine and Psychotherapykbo Isar‐Amper‐Klinikum Haar/MunichMunichGermany
| | - John I. Nurnberger
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
| | - Marc Schuckit
- Department of PsychiatryUniversity of California San DiegoSan DiegoCaliforniaUSA
| | - Howard J. Edenberg
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA,Department of Biochemistry and Molecular BiologyIndiana University School of MedicineIndianapolisIndianaUSA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics LaboratoryState University of New York Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics LaboratoryState University of New York Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics LaboratoryState University of New York Downstate Health Sciences UniversityBrooklynNew YorkUSA
| | - Tatiana Foroud
- Department of Medical and Molecular GeneticsIndiana University School of MedicineIndianapolisIndianaUSA
| | - Sean O'Connor
- Department of PsychiatryIndiana University School of MedicineIndianapolisIndianaUSA
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31
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Cyders MA, Plawecki MH, Whitt ZT, Kosobud AE, Kareken DA, Zimmermann US, O'Connor SJ. Translating preclinical models of alcohol seeking and consumption into the human laboratory using intravenous alcohol self-administration paradigms. Addict Biol 2021; 26:e13016. [PMID: 33543589 DOI: 10.1111/adb.13016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/08/2021] [Accepted: 01/16/2021] [Indexed: 11/28/2022]
Abstract
Preclinical models of alcohol use disorder (AUD) have advanced theoretical, mechanistic, and pharmacological study of the human condition. "Liking" and "wanting" behaviors reflect core processes underlying several models of AUD. However, the development and application of translational models of these preclinical approaches are at an incipient stage. The goal of this study was to examine how intravenous free-access and progressive-ratio, operant-response human alcohol self-administration paradigms can be used as translational human model parallels of preclinical "liking" and "wanting." Participants were 40 adults (mean age = 23.7, SD = 2.0; 45% female) of European descent who reported 12.6 drinking days (SD = 5.2) out of the previous 30 (average = 4.1 drinks per drinking day [SD = 1.7]). Individuals diverged in their alcohol self-administration behavior, such that free-access and progressive-ratio paradigm outcomes were not significantly correlated (p = 0.44). Free-access alcohol seeking was related to enjoying alcohol (p < 0.001), but not craving (p = 0.48), whereas progressive-ratio seeking at similar levels of alcohol exposure was related to craving (p = 0.02), but not enjoying (p = 0.30). Family history of alcoholism, venturesomeness traits, and disinhibition traits were unrelated (ps > 0.70) to preferred level of breath alcohol concentration (BrAC) in the free-access session, a measure of liking alcohol. Family history of alcoholism, disinhibition traits, and recent drinking history were significantly related (ps < 0.05) to alcohol seeking in the progressive-ratio paradigm, a measure of wanting alcohol. We conclude that intravenous alcohol self-administration paradigms show promise in modeling behaviors that characterize and parallel alcohol "liking" and "wanting" in preclinical models. These paradigms provide a translational link between preclinical methods and clinical trials.
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Affiliation(s)
- Melissa A. Cyders
- Department of Psychology Indiana University—Purdue University Indianapolis Indiana USA
| | - Martin H. Plawecki
- Department of Psychiatry Indiana University School of Medicine Indianapolis Indiana USA
| | - Zachary T. Whitt
- Department of Psychology Indiana University—Purdue University Indianapolis Indiana USA
| | - Ann E.K. Kosobud
- Department of Neurology Indiana University School of Medicine Indianapolis Indiana USA
| | - David A. Kareken
- Department of Neurology Indiana University School of Medicine Indianapolis Indiana USA
| | - Ulrich S. Zimmermann
- School of Medicine Technische Universität Dresden Dresden Germany
- Department of Addiction Medicine and Psychotherapy kbo Isar‐Amper‐Klinikum Munich Germany
| | - Sean J. O'Connor
- Department of Psychiatry Indiana University School of Medicine Indianapolis Indiana USA
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32
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Kuo SIC, Salvatore JE, Barr PB, Aliev F, Anokhin A, Bucholz KK, Chan G, Edenberg HJ, Hesselbrock V, Kamarajan C, Kramer JR, Lai D, Mallard TT, Nurnberger JI, Pandey G, Plawecki MH, Sanchez-Roige S, Waldman I, Palmer AA, Dick DM. Mapping Pathways by Which Genetic Risk Influences Adolescent Externalizing Behavior: The Interplay Between Externalizing Polygenic Risk Scores, Parental Knowledge, and Peer Substance Use. Behav Genet 2021; 51:543-558. [PMID: 34117972 PMCID: PMC8403154 DOI: 10.1007/s10519-021-10067-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/26/2021] [Indexed: 12/25/2022]
Abstract
Genetic predispositions and environmental influences both play an important role in adolescent externalizing behavior; however, they are not always independent. To elucidate gene-environment interplay, we examined the interrelationships between externalizing polygenic risk scores, parental knowledge, and peer substance use in impacting adolescent externalizing behavior across two time-points in a high-risk longitudinal sample of 1,200 adolescents (764 European and 436 African ancestry; Mage = 12.99) from the Collaborative Study on the Genetics of Alcoholism. Results from multivariate path analysis indicated that externalizing polygenic scores were directly associated with adolescent externalizing behavior but also indirectly via peer substance use, in the European ancestry sample. No significant polygenic association nor indirect effects of genetic risk were observed in the African ancestry group, likely due to more limited power. Our findings underscore the importance of gene-environment interplay and suggest peer substance use may be a mechanism through which genetic risk influences adolescent externalizing behavior.
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Affiliation(s)
- Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806 W Franklin St, Richmond, VA, 23284, USA.
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806 W Franklin St, Richmond, VA, 23284, USA
| | - Peter B Barr
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806 W Franklin St, Richmond, VA, 23284, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806 W Franklin St, Richmond, VA, 23284, USA
| | - Andrey Anokhin
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Travis T Mallard
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | - John I Nurnberger
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, USA
| | - Gayathri Pandey
- Department of Psychiatry and Behavioral Sciences, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | | | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Irwin Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute of Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Box 842018, 806 W Franklin St, Richmond, VA, 23284, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
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33
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Johnson EC, Aliev F, Meyers JL, Salvatore JE, Tillman R, Chang Y, Docherty AR, Bogdan R, Acion L, Chan G, Chorlian DB, Kamarajan C, Kuperman S, Pandey A, Plawecki MH, Schuckit M, Tischfield J, Edenberg HJ, Bucholz KK, Nurnberger JI, Porjesz B, Hesselbrock V, Dick DM, Kramer JR, Agrawal A. Associations between Suicidal Thoughts and Behaviors and Genetic Liability for Cognitive Performance, Depression, and Risk-Taking in a High-Risk Sample. Complex Psychiatry 2021; 7:34-44. [PMID: 35592092 PMCID: PMC8443930 DOI: 10.1159/000517169] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 05/11/2021] [Indexed: 11/10/2023] Open
Abstract
Background Suicidal thoughts and behaviors (STBs) and nonsuicidal self-injury (NSSI) behaviors are moderately heritable and may reflect an underlying predisposition to depression, impulsivity, and cognitive vulnerabilities to varying degrees. Objectives We aimed to estimate the degrees of association between genetic liability to depression, impulsivity, and cognitive performance and STBs and NSSI in a high-risk sample. Methods We used data on 7,482 individuals of European ancestry and 3,359 individuals of African ancestry from the Collaborative Study on the Genetics of Alcoholism to examine the links between polygenic scores (PGSs) for depression, impulsivity/risk-taking, and cognitive performance with 3 self-reported indices of STBs (suicidal ideation, persistent suicidal ideation defined as ideation occurring on at least 7 consecutive days, and suicide attempt) and with NSSI. Results The PGS for depression was significantly associated with all 4 primary self-harm measures, explaining 0.6-2.5% of the variance. The PGS for risk-taking behaviors was also associated with all 4 self-harm behaviors in baseline models, but was no longer associated after controlling for a lifetime measure of DSM-IV alcohol dependence and abuse symptom counts. Polygenic predisposition for cognitive performance was negatively associated with suicide attempts (q = 3.8e-4) but was not significantly associated with suicidal ideation nor NSSI. We did not find any significant associations in the African ancestry subset, likely due to smaller sample sizes. Conclusions Our results encourage the study of STB as transdiagnostic outcomes that show genetic overlap with a range of risk factors.
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Affiliation(s)
- Emma C. Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jacquelyn L. Meyers
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jessica E. Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yoonhoo Chang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Anna R. Docherty
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Laura Acion
- Calculus Institute, University of Buenos Aires, Buenos Aires, Argentina
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - David B. Chorlian
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Chella Kamarajan
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Ashwini Pandey
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Marc Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
| | - Jay Tischfield
- Department of Genetics, Rutgers University, Piscataway, New Jersey, USA
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Kathleen K. Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | - John I. Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Bernice Porjesz
- Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Danielle M. Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - John R. Kramer
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
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Riedel P, Wolff M, Spreer M, Petzold J, Plawecki MH, Goschke T, Zimmermann US, Smolka MN. Acute alcohol does not impair attentional inhibition as measured with Stroop interference scores but impairs Stroop performance. Psychopharmacology (Berl) 2021; 238:1593-1607. [PMID: 33660080 PMCID: PMC8139883 DOI: 10.1007/s00213-021-05792-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 02/04/2021] [Indexed: 11/24/2022]
Abstract
RATIONALE Inhibition is a core executive function and refers to the ability to deliberately suppress attention, behavior, thoughts, and/or emotions and instead act in a specific manner. While acute alcohol exposure has been shown to impair response inhibition in the stop-signal and Go/NoGo tasks, reported alcohol effects on attentional inhibition in the Stroop task are inconsistent. Notably, studies have operationalized attentional inhibition variably and there has been intra- and inter-individual variability in alcohol exposure. OBJECTIVE This study aimed to examine the acute effects of alcohol on attentional inhibition, considering previous limitations. METHODS In a single-blind, cross-over design, 40 non-dependent participants with a medium-to-high risk drinking behavior performed a Counting Stroop task (CST) under a baseline and an arterial blood alcohol concentration (aBAC) clamp at 80 mg%. Attentional inhibition was assessed as the alteration of reaction times (RT), error rates (ER), and inverse efficiency scores (IES) between incongruent and congruent trials (interference score). Stroop performance was also assessed regardless of trial-type. RESULTS Compared to saline, acute alcohol exposure via an aBAC clamp did not affect CST interference scores but increased RTs and IES in both incongruent and congruent trials. CONCLUSIONS Attentional inhibition (Stroop interference score) was not impaired by clamped moderate alcohol exposure. Acute alcohol impaired Stroop performance evidenced by a general increase in response times. Our findings suggest that response and attentional inhibition do not share the same neurocognitive mechanisms and are affected differently by alcohol. Results could also be explained by automated behaviors known to be relatively unaffected by acute alcohol.
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Affiliation(s)
- P Riedel
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
- Neuroimaging Center, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany
- UCLA Semel Institute for Neuroscience & Human Behavior, David Geffen School of Medicine, 760 Westwood Plaza, Los Angeles, CA, 90024, USA
| | - M Wolff
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
- Department of General Psychology, Technische Universität Dresden, Zellescher Weg 17, 01069, Dresden, Germany
| | - M Spreer
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - J Petzold
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
- Neuroimaging Center, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany
| | - M H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, 355 West 16th Street, Indianapolis, IN, 46202, USA
| | - T Goschke
- Neuroimaging Center, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany
- Department of General Psychology, Technische Universität Dresden, Zellescher Weg 17, 01069, Dresden, Germany
| | - U S Zimmermann
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
- Department of Addiction Medicine and Psychotherapy, kbo-Isar-Amper-Klinikum München-Ost, Vockestraße 72, 85540, Haar, Germany
| | - M N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
- Neuroimaging Center, Technische Universität Dresden, Würzburger Straße 35, 01187, Dresden, Germany.
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35
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Grant LL, Opperman MJ, Schiller B, Chastain J, Richardson JD, Eckel C, Plawecki MH. Medical Student Engagement in a Virtual Learning Environment Positively Correlates with Course Performance and Satisfaction in Psychiatry. Med Sci Educ 2021; 31:1133-1140. [PMID: 33868773 PMCID: PMC8041389 DOI: 10.1007/s40670-021-01287-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/29/2021] [Indexed: 06/10/2023]
Abstract
INTRODUCTION There has been a move to a "flipped classroom" (FC) in medical education. The FC promotes active learning and utilizes independent preparation prior to in-class sessions. Few studies have evaluated the effectiveness of the FC approach in medical education, specifically via virtual learning. The purpose of this study evaluates student and faculty perceptions of the FC approach and relationships between student engagement and performance. METHOD The first-year medical student psychiatry curriculum was redesigned with an FC approach and subsequently altered by COVID-19 to a virtual learning environment. A mixed-method approach was used to examine both qualitative assessment and quantitative performance data. Students and facilitators were invited to participate in surveys regarding the curriculum changes. Student performance data was collected via quizzes and examinations. Engagement was evaluated by student participation in National Board of Medical Examiners-style multiple-choice questions delivered via Top Hat®. Correlational analyses were used to evaluate associations between engagement and performance. T-tests were used to compare student satisfaction across 2019 and 2020. RESULTS Performance on in-class questions was positively associated with class rank and performance (p < 0.005). More students were either satisfied or strongly satisfied (91.5%) in 2020 compared to 85.7% in 2019 (two-tailed t-test, p = 0.04). Most students (81.3%) preferred in-class questions to lectures. In 2020, 62.6% of student comments were positive regarding the psychiatry curriculum vs 33.3% in 2019. Over 61.5% of facilitators felt positive towards the changes. CONCLUSION Our results demonstrate a positive relationship between engagement and class performance. Students and facilitators positively perceived the approach, with students preferring in-class questions compared to lectures. Future research should evaluate overall performance on standardized tests, third-year clerkships, and number of students matching into psychiatry. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s40670-021-01287-x.
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Affiliation(s)
- Larrilyn L. Grant
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN USA
| | - Michael J. Opperman
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN USA
| | - Brennan Schiller
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN USA
| | - Jonathan Chastain
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN USA
| | | | - Christine Eckel
- Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine - Northwest, Gary, IN USA
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN USA
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Johnson EC, Sanchez-Roige S, Acion L, Adams MJ, Bucholz KK, Chan G, Chao MJ, Chorlian DB, Dick DM, Edenberg HJ, Foroud T, Hayward C, Heron J, Hesselbrock V, Hickman M, Kendler KS, Kinreich S, Kramer J, Kuo SIC, Kuperman S, Lai D, McIntosh AM, Meyers JL, Plawecki MH, Porjesz B, Porteous D, Schuckit MA, Su J, Zang Y, Palmer AA, Agrawal A, Clarke TK, Edwards AC. Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples. Psychol Med 2021; 51:1147-1156. [PMID: 31955720 PMCID: PMC7405725 DOI: 10.1017/s0033291719004045] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds. METHODS We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes. RESULTS In COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16). CONCLUSIONS AUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.
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Affiliation(s)
- Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Laura Acion
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Michael J Chao
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - David B Chorlian
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
- Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, University of Edinburgh, Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Jon Heron
- University of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Matthew Hickman
- University of Bristol, Bristol Medical School, Population Health Sciences, Bristol, UK
| | - Kenneth S Kendler
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Sivan Kinreich
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Sally I-Chun Kuo
- Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA
| | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Carver College of Medicine, Iowa City, IA, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Jacquelyn L Meyers
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, Suny Downstate Medical Center, Brooklyn, NY, USA
| | - David Porteous
- University of Edinburgh, Institute of Genetics & Molecular Medicine, Centre for Genomic and Experimental Medicine, Edinburgh, UK
| | - Marc A Schuckit
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Jinni Su
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Yong Zang
- Department of Biostatistics, Indiana University School of Medicine, Bloomington, IN, USA
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
- University of California San Diego, Institute for Genomic Medicine, San Diego, CA, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Alexis C Edwards
- Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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Brandt SJ, Oral HY, Arellano-Bravo C, Plawecki MH, Hummer TA, Francis MM. Repetitive Transcranial Magnetic Stimulation as a Therapeutic and Probe in Schizophrenia: Examining the Role of Neuroimaging and Future Directions. Neurotherapeutics 2021; 18:827-844. [PMID: 33844154 PMCID: PMC8423934 DOI: 10.1007/s13311-021-01046-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/31/2022] Open
Abstract
Schizophrenia is a complex condition associated with perceptual disturbances, decreased motivation and affect, and disrupted cognition. Individuals living with schizophrenia may experience myriad poor outcomes, including impairment in independent living and function as well as decreased life expectancy. Though existing treatments may offer benefit, many individuals still experience treatment resistant and disabling symptoms. In light of the negative outcomes associated with schizophrenia and the limitations in currently available treatments, there is a significant need for novel therapeutic interventions. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation technique that can modulate the activity of discrete cortical regions, allowing direct manipulation of local brain activation and indirect manipulation of the target's associated neural networks. rTMS has been studied in schizophrenia for the treatment of auditory hallucinations, negative symptoms, and cognitive deficits, with mixed results. The field's inability to arrive at a consensus on the use rTMS in schizophrenia has stemmed from a variety of issues, perhaps most notably the significant heterogeneity amongst existing trials. In addition, it is likely that factors specific to schizophrenia, rather than the rTMS itself, have presented barriers to the interpretation of existing results. However, advances in approaches to rTMS as a biologic probe and therapeutic, many of which include the integration of neuroimaging with rTMS, offer hope that this technology may still play a role in improving the understanding and treatment of schizophrenia.
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Affiliation(s)
- Stephen J Brandt
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Halimah Y Oral
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Carla Arellano-Bravo
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Martin H Plawecki
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Tom A Hummer
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA
| | - Michael M Francis
- Indiana University School of Medicine, Department of Psychiatry, 355W 16 St., Indianapolis, IN, USA.
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Abstract
Background: The goal of this study was to empirically examine the degree to which alcohol use and drinking motives changed during the first month of the pandemic and to examine individual differences associated with such changes. Methods: A U.S. nationwide survey of 500 adults was conducted; data from 201 individuals (Mage=38.98, SD=12.04, 52.2% female, 76.1% White) who endorsed current alcohol use were included in this study. Results: Paired-samples t-tests indicated that there was a significant decrease in drinking quantity [t(199)=3.74, p<.001], but no change in drinking frequency [t(198)=0.19, p=.849] overall during the first month of the U.S. pandemic. There were significant decreases in enhancement [t(201)=4.55, p<.001], social [t(201)=9.39, p<.001] and conformity [t(201)=3.58, p<.001] motives, but a significant increase in coping motives [t(201)=-3.71, p<.001]. Regression analyses showed that increases in enhancement [β=0.46, p<.001] and coping [β=0.27, p=.004] motives were significantly related to increases in drinking frequency, and increases in coping motives [β=0.32, p=.002] were related to increases in drinking quantity. Riskier drinking prior to the pandemic was significantly related to greater increase in drinking quantity in the first month of the U.S. pandemic [β=0.31, p<.001]. Conclusion: Results of this study provide initial support that changes in drinking motives were important predictors for changes in alcohol use during the first month of the U.S. pandemic. Contrary to anecdotal reports, drinking decreased overall during the first month of the U.S. pandemic; however, those with existing risky patterns of drinking prior to the start of the U.S. pandemic were at greatest risk for drinking escalation during this time.
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Affiliation(s)
| | - Melissa A Liu
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Melissa A Cyders
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA
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Liu M, Prestigiacomo CJ, Plawecki MH, Cyders MA. Correspondence on gender disparities in the initial psychological impact of the U.S. COVID-19 pandemic. Psychiatry Res 2020; 293:113469. [PMID: 33198043 PMCID: PMC7525358 DOI: 10.1016/j.psychres.2020.113469] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 09/16/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Melissa Liu
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN, United States.
| | - Christiana J. Prestigiacomo
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN, United States
| | - Martin H. Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Melissa A. Cyders
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN, United States
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Oberlin BG, Carron CR, Ramer NE, Plawecki MH, O'Connor SJ, Kareken DA. Intoxication Effects on Impulsive Alcohol Choice in Heavy Drinkers: Correlation With Sensation Seeking and Differential Effects by Commodity. Alcohol Clin Exp Res 2020; 45:204-214. [PMID: 33119917 DOI: 10.1111/acer.14497] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 10/21/2020] [Accepted: 10/21/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND The preference for immediate rewards and high sensation seeking are both potent risk factors for alcohol use disorder (AUD), but how they interact during intoxication is poorly understood. To model decision making linked to AUD risk, we tested heavy drinkers for impulsive choice (delay discounting with alcohol:money or money:money) and behavioral sensation seeking using a novel odor choice task. Laboratory tasks measured actual behavior with real contingencies. Our goals were to determine, in heavy drinkers, (i) alcohol's effects on delay discounting, and (ii) how AUD risk factors relate to delay discounting, and (iii) how delay discounting with alcohol choices compares with strictly monetary choices. METHODS Thirty-five heavy drinkers (≥2 binges per month; age = 22.8 ± 2.2; 20 male; 5.8 ± 2.3 drinks/drinking day) performed cross-commodity discounting (CCD) of immediate alcohol vs. delayed money, a monetary delay discounting (DD), and behavioral sensation-seeking tasks. CCD and DD were performed while sober and during controlled alcohol infusion targeting 0.08 g/dl. The behavioral sensation-seeking task presented binary choices of odorants varying in intensity and novelty, and the risk of exposure to a malodorant. RESULTS CCD and DD behaviors were highly correlated across conditions, mean r = 0.64. Alcohol increased delayed reward preference in DD, p = 0.001, but did not alter mean CCD, p > 0.16. However, alcohol-induced changes in CCD correlated with behavioral sensation seeking, such that higher sensation seekers' immediate alcohol preference increased when intoxicated, p = 0.042; self-reported sensation seeking was uncorrelated, ps > 0.08. Behavioral sensation seeking also correlated with "want" alcohol following a priming dose targeting 0.035 g/dl, p = 0.021. CCD and DD did not correlate with self-reported drinking problems or other personality risk traits. CONCLUSIONS Alcohol increased impulsive alcohol choice in high sensation seekers, suggesting an interaction that may underlie impaired control of drinking, at least in a subset of heavy drinkers-consistent with models highlighting high novelty/sensation-seeking AUD subtypes. Discounting behavior overall appears to be a generalized process, and relatively stable across methods, repeated testing, and intoxication. These findings further support the utility of behavioral tasks in uncovering key behavioral phenotypes in AUD.
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Affiliation(s)
- Brandon G Oberlin
- Department of Psychiatry (BGO, MHP, SJO, DAK), Indiana University School of Medicine (IUSM), Indianapolis, Indiana, USA.,Department of Neurology (BGO, CRC, DAK), IUSM, Indianapolis, Indiana, USA.,Department of Psychology (BGO, NER), Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA.,Stark Neurosciences Research Institute (BGO, DAK), IUSM, Indianapolis, Indiana, USA
| | - Claire R Carron
- Department of Neurology (BGO, CRC, DAK), IUSM, Indianapolis, Indiana, USA
| | - Nolan E Ramer
- Department of Psychology (BGO, NER), Indiana University Purdue University Indianapolis, Indianapolis, Indiana, USA
| | - Martin H Plawecki
- Department of Psychiatry (BGO, MHP, SJO, DAK), Indiana University School of Medicine (IUSM), Indianapolis, Indiana, USA
| | - Sean J O'Connor
- Department of Psychiatry (BGO, MHP, SJO, DAK), Indiana University School of Medicine (IUSM), Indianapolis, Indiana, USA
| | - David A Kareken
- Department of Psychiatry (BGO, MHP, SJO, DAK), Indiana University School of Medicine (IUSM), Indianapolis, Indiana, USA.,Department of Neurology (BGO, CRC, DAK), IUSM, Indianapolis, Indiana, USA.,Stark Neurosciences Research Institute (BGO, DAK), IUSM, Indianapolis, Indiana, USA.,Department of Radiology and Imaging Sciences (DAK), Center for Neuroimaging, IUSM, Indianapolis, Indiana, USA
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Obst E, Bernhardt N, Gan G, Plawecki MH, O'Connor S, Smolka MN, Zimmermann US. Sensation seeking, impulsivity, and aggression moderate sex effects on adolescent laboratory binging. Psychol Addict Behav 2020; 35:208-214. [PMID: 32584051 DOI: 10.1037/adb0000651] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Sex, comprising biological and gender-related distinctions, is a known risk factor for alcohol use disorders. Moreover, sensation seeking, impulsivity, and aggression have been found to predict binge drinking and to reflect behavioral disinhibition. We tested effects of these disinhibited traits on binging during intravenous alcohol self-administration (ivASA), a method that eliminates sex differences in the pharmacokinetics of alcohol. Eighty-five German social drinkers (49 men) completed 3 questionnaires assessing sensation seeking, impulsivity, and aggression, as well as an ivASA session at ages 18-19. Sixty-five of them were retested at ages 21-22. Participants reported real-life drinking problems and the number of binge days in the 45 days preceding lab testing. Analyses employed continuous data and median splits to examine associations between disinhibited traits and the portion of women and men in the sample who achieved a breath alcohol concentration of 80 mg% during ivASA ("binge fraction"). At ages 18-19, and only if scoring low on sensation seeking, impulsivity, or aggression, women had significantly lower binge fractions during ivASA than men. Further, low compared to high impulsivity or aggression predicted lower binge fractions in women but not in men. Neither first- nor second-wave disinhibited traits significantly predicted binge fractions at ages 21-22. We perceive that personality traits reflecting behavioral disinhibition might be a strong indicator of drinking problems, specifically among young women. Targeted brief interventions might therefore be used in educational or clinical settings to inform such women about their increased risk and the potential health and behavioral problems associated with binge drinking. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Cyders MA, Plawecki MH, Corbin W, King A, McCarthy DM, Ramchandani VA, Weafer J, O'Connor SJ. To Infuse or Ingest in Human Laboratory Alcohol Research. Alcohol Clin Exp Res 2020; 44:764-776. [PMID: 32056250 DOI: 10.1111/acer.14305] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/02/2020] [Indexed: 02/06/2023]
Abstract
Human alcohol laboratory studies use two routes of alcohol administration: ingestion and infusion. The goal of this paper was to compare and contrast these alcohol administration methods. The work summarized in this report was the basis of a 2019 Research Society on Alcoholism Roundtable, "To Ingest or Infuse: A Comparison of Oral and Intravenous Alcohol Administration Methods for Human Alcohol Laboratory Designs." We review the methodological approaches of each and highlight strengths and weaknesses pertaining to different research questions. We summarize methodological considerations to aid researchers in choosing the most appropriate method for their inquiry, considering exposure variability, alcohol expectancy effects, safety, bandwidth, technical skills, documentation of alcohol exposure, experimental variety, ecological validity, and cost. Ingestion of alcohol remains a common and often a preferable, methodological practice in alcohol research. Nonetheless, the main problem with ingestion is that even the most careful calculation of dose and control of dosing procedures yields substantial and uncontrollable variability in the participants' brain exposures to alcohol. Infusion methodologies provide precise exposure control but are technically complex and may be limited in ecological validity. We suggest that alcohol ingestion research may not be the same thing as alcohol exposure research; investigators should be aware of the advantages and disadvantages that the choice between ingestion and infusion of alcohol invokes.
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Affiliation(s)
- Melissa A Cyders
- Department of Psychology, Indiana University Purdue University - Indianapolis, Indianapolis, Indiana, United States
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, United States
| | - William Corbin
- Department of Psychology, Arizona State University, Tempe, Arizona, United States
| | - Andrea King
- Department of Psychiatry, University of Chicago School of Medicine, Chicago, Illinois, United States
| | - Denis M McCarthy
- Department of Psychological Sciences, Universtiy of Missouri - Columbia, Columbia, Missouri, United States
| | - Vijay A Ramchandani
- Section on Human Psychopharmacology, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland, United States
| | - Jessica Weafer
- Department of Psychology, University of Kentucky, Lexington, Kentucky, United States
| | - Sean J O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, United States
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Perry B, Walsh KH, Plawecki MH, Fodstad JC, Blake HS, Hunt A, Ott C, Rowlison R, McConnell WR, Kleimola K, Hulvershorn LA. Change in Psychotropic Prescribing Patterns Among Youths in Foster Care Associated With a Peer-to-Peer Physician Consultation Program. J Am Acad Child Adolesc Psychiatry 2019; 58:1218-1222.e1. [PMID: 31374252 DOI: 10.1016/j.jaac.2019.06.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/14/2019] [Accepted: 07/24/2019] [Indexed: 11/26/2022]
Abstract
There has been growing concern about the safety and efficacy of psychotropic prescribing practices for children enrolled in Medicaid and in foster care.1 In response, accreditation organizations and policymakers have developed standards for optimal use of psychotropic medications among children.2 In addition, federal legislation has prompted states to implement monitoring programs to address quality and safety issues among vulnerable pediatric subpopulations.3,4 Here, we report findings from an evaluation of Indiana's program for foster youth, which used outlier case review followed by peer-to-peer consultation between prescribing physicians and child and adolescent psychiatrists. We observed clinically and statistically significant reductions in polypharmacy, off-label prescribing, inpatient hospitalizations, health care costs, and related outcomes among youths randomized to an immediate intervention group compared to no improvements in a waitlist control group.
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Affiliation(s)
| | | | | | | | | | - Amber Hunt
- Indiana University School of Medicine, Indianapolis
| | - Carol Ott
- Purdue University College of Pharmacy, West Lafayette, IN
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Ramchandani VA, Stangl BL, Blaine SK, Plawecki MH, Schwandt ML, Kwako LE, Sinha R, Cyders MA, O'Connor S, Zakhari S. Stress vulnerability and alcohol use and consequences: From human laboratory studies to clinical outcomes. Alcohol 2018; 72:75-88. [PMID: 30322482 DOI: 10.1016/j.alcohol.2018.06.001] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 04/20/2018] [Accepted: 06/05/2018] [Indexed: 02/08/2023]
Abstract
It is well known that vulnerability to stress is a risk factor for alcohol use disorder (AUD). Chronic alcohol use can result in neuroadaptations in cortico-striatal pathways and hypothalamic pituitary adrenal (HPA) axis function that are manifested in altered behavioral and cognitive control functions contributing to alcohol craving, compulsive motivation, consumption, and consequences. This symposium brings together studies utilizing novel approaches to help improve our understanding of stress - past, acute, and chronic - on alcohol seeking and consumption and related outcomes using a combination of human laboratory models, neuroimaging, and clinical measures. Examining factors that determine vulnerability as well as resilience to stress are of particular interest in the study of AUD because, in addition to increasing our understanding of the risk factors for AUD, such knowledge can be used to develop more effective treatments. Dr. Stangl presented a novel human experimental model that demonstrates, for the first time, stress-induced increases in alcohol self-administration in binge drinkers using a guided imagery paradigm combined with intravenous alcohol self-administration (IV-ASA). Dr. Blaine presented data demonstrating that glucocorticoid response to stress drives compulsive alcohol motivation and intake in binge/heavy drinkers. Dr. Plawecki presented data examining sex differences in the effect of two distinct stress paradigms - mood induction and abstinence - on IV-ASA in moderate drinkers. Dr. Schwandt presented clinical data providing a new perspective on the relationship between childhood trauma and AUD by suggesting possible underlying mechanisms that confer resilience, rather than vulnerability, to severe early life stress exposure.
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Oberlin BG, Dzemidzic M, Eiler WJ, Carron CR, Soeurt CM, Plawecki MH, Grahame NJ, O’Connor SJ, Kareken DA. Pairing neutral cues with alcohol intoxication: new findings in executive and attention networks. Psychopharmacology (Berl) 2018; 235:2725-2737. [PMID: 30066136 PMCID: PMC6119082 DOI: 10.1007/s00213-018-4968-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 07/05/2018] [Indexed: 12/27/2022]
Abstract
RATIONALE Alcohol-associated stimuli capture attention, yet drinkers differ in the precise stimuli that become paired with intoxication. OBJECTIVES Extending our prior work to examine the influence of alcoholism risk factors, we paired abstract visual stimuli with intravenous alcohol delivered covertly and examined brain responses to these Pavlovian-conditioned stimuli in fMRI when subjects were not intoxicated. METHODS Sixty healthy drinkers performed task-irrelevant alcohol conditioning that presented geometric shapes as conditioned stimuli. Shapes were paired with a rapidly rising alcohol limb (conditioned stimulus; CS+) using intravenous alcohol infusion targeting a final peak breath alcohol concentration of 0.045 g/dL or saline (CS-) infusion at matched rates. On day 2, subjects performed monetary delay discounting outside the scanner to assess delay tolerance and then underwent event-related fMRI while performing the same task with CS+, CS-, and an irrelevant symbol. RESULTS CS+ elicited stronger activation than CS- in frontoparietal executive/attention and orbitofrontal reward-associated networks. Risk factors including family history, recent drinking, sex, and age of drinking onset did not relate to the [CS+ > CS-] activation. Delay-tolerant choice and [CS+ > CS-] activation in right inferior parietal cortex were positively related. CONCLUSIONS Networks governing executive attention and reward showed enhanced responses to stimuli experimentally paired with intoxication, with the right parietal cortex implicated in both alcohol cue pairing and intertemporal choice. While different from our previous study results in 14 men, we believe this paradigm in a large sample of male and female drinkers offers novel insights into Pavlovian processes less affected by idiosyncratic drug associations.
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Affiliation(s)
- Brandon G. Oberlin
- Departments of Psychiatry, Indiana University School of Medicine, Indianapolis, IN,Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN,Departments of Stark Neurosciences Institute, Indiana University School of Medicine, Indianapolis, IN,Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN
| | - Mario Dzemidzic
- Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN,Departments of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - William J.A. Eiler
- Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN
| | - Claire R. Carron
- Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN
| | - Christina M. Soeurt
- Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN
| | - Martin H. Plawecki
- Departments of Psychiatry, Indiana University School of Medicine, Indianapolis, IN
| | - Nicholas J. Grahame
- Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN
| | - Sean J. O’Connor
- Departments of Psychiatry, Indiana University School of Medicine, Indianapolis, IN,Department of Roudebush Veteran’s Administration Medical Center
| | - David A. Kareken
- Departments of Psychiatry, Indiana University School of Medicine, Indianapolis, IN,Departments of Neurology, Indiana University School of Medicine, Indianapolis, IN,Departments of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN,Departments of Stark Neurosciences Institute, Indiana University School of Medicine, Indianapolis, IN,Department of Psychology, Indiana University Purdue University Indianapolis, Indianapolis, IN
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Plawecki MH, Windisch KA, Wetherill L, Kosobud AEK, Dzemidzic M, Kareken DA, O'Connor SJ. Alcohol affects the P3 component of an adaptive stop signal task ERP. Alcohol 2018; 70:1-10. [PMID: 29705707 DOI: 10.1016/j.alcohol.2017.08.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 08/22/2017] [Accepted: 08/24/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND The P3 component of the event-related potential (ERP) has been particularly useful in alcohol research for identifying endophenotypes of alcohol-use disorder (AUD) risk in sober subjects. However, practice and/or fatigue reduce P3 amplitude, limiting the ability to ascertain acute and adaptive effects of alcohol exposure. Here, we report acute alcohol effects on P3 amplitude and latency using an adaptive stop signal task (aSST). METHODS One hundred forty-eight non-dependent moderate to heavy social drinkers, ages 21 to 27, participated in two single-blind, alcohol or placebo, counterbalanced sessions approximately 1 week apart. During each session, subjects performed an adaptive stop signal task (aSST) at 1) baseline, 2) upon reaching the target 60 mg/dL breath alcohol concentration or at the equivalent time during the placebo session, and 3) approximately 135 min later while the breath alcohol concentration was clamped. Here, we report on differences between baseline and first subsequent measurements across the experimental sessions. During each aSST run, the stop signal delay (SSD, the time between stop and go signals) adjusted trial-by-trial, based on the subject's performance. RESULTS The aSST reliably generated a STOP P3 component that did not change significantly with repeated task performance. The pre-infusion SSD distribution was bimodal, with mean values several hundred msec apart (FAST: 153 msec and SLOW: 390 msec). This suggested different response strategies: FAST SSD favoring "going" over "stopping", and SLOW SSD favoring "stopping" over "going". Exposure to alcohol at 60 mg/dL differentially affected the amplitude and latency of the STOP P3 according to SSD group. Alcohol significantly reduced P3 amplitude in the SLOW SSD compared to the FAST SSD group, but significantly increased P3 latency in the FAST SSD compared to the SLOW SSD group. CONCLUSIONS The aSST is a robust and sensitive task for detecting alcohol-induced changes in inhibition behavior as measured by the P3 component in a within-subject design. Alcohol was associated with P3 component changes, which varied by SSD group, suggesting a differential effect as a function of task strategy. Overall, the data support the potential utility of the aSST in the detection of alcohol response-related AUD risk.
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Affiliation(s)
- Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States.
| | - Kyle A Windisch
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States; The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, United States
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Ann E K Kosobud
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Mario Dzemidzic
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - David A Kareken
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, United States
| | - Sean J O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States; R.L. Roudebush Veterans Administration Medical Center, Indianapolis, IN, United States
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47
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Wink LK, Minshawi NF, Shaffer RC, Plawecki MH, Posey DJ, Horn PS, Adams R, Pedapati EV, Schaefer TL, McDougle CJ, Swiezy NB, Erickson CA. d-Cycloserine enhances durability of social skills training in autism spectrum disorder. Mol Autism 2017; 8:2. [PMID: 28138381 PMCID: PMC5264460 DOI: 10.1186/s13229-017-0116-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 12/24/2016] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND d-Cycloserine (DCS) enhances extinction learning across species, but it has proven challenging to identify consistent benefit of DCS when added to therapeutic interventions. We conducted a placebo-controlled trial of DCS to potentiate social skills training in autism spectrum disorder (ASD) but found substantial improvement in both the DCS and placebo groups at the conclusion of active treatment. Here, we assess the impact of DCS 11 weeks following active treatment to evaluate the impact of DCS on treatment response durability. METHODS Study participants included 60 outpatient youth with ASD, ages 5-11 years, all with IQ above 70, and significantly impaired social functioning who completed a 10-week active treatment phase during which they received weekly single doses of 50 mg of DCS or placebo administered 30 min prior to group social skills training. Following the 10-week active treatment phase, blinded follow-up assessments occurred at week 11 and week 22. The primary outcome measure for our durability of treatment evaluation was the parent-rated social responsiveness scale (SRS) total raw score at week 22. RESULTS Analysis of the SRS total raw score demonstrated significant decrease for the DCS group compared to the placebo group (p = 0.042) indicating greater maintenance of treatment effect in the DCS group. DCS was well tolerated, with irritability being the most frequently reported adverse effect in both groups. CONCLUSIONS The findings of this study suggest that DCS may help youth with ASD to maintain skills gained during sort-term social skills training. Larger-scale studies with longer follow-up will be necessary to further understand the long-term impact of DCS paired with structured social skills training. TRIAL REGISTRATION ClinicalTrials.gov, NCT01086475.
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Affiliation(s)
- Logan K. Wink
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Noha F. Minshawi
- Christian Sarkine Autism Treatment Center, Riley Hospital for Children at Indiana University Health and the Indiana University School of Medicine Department of Psychiatry, Indianapolis, IN USA
| | - Rebecca C. Shaffer
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Martin H. Plawecki
- Christian Sarkine Autism Treatment Center, Riley Hospital for Children at Indiana University Health and the Indiana University School of Medicine Department of Psychiatry, Indianapolis, IN USA
| | | | - Paul S. Horn
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Ryan Adams
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Ernest V. Pedapati
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Tori L. Schaefer
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
| | - Christopher J. McDougle
- Lurie Center for Autism, Departments of Psychiatry and Pediatrics, Massachusetts General Hospital and MassGeneral Hospital for Children, Harvard Medical School, Boston, MA USA
| | - Naomi B. Swiezy
- Christian Sarkine Autism Treatment Center, Riley Hospital for Children at Indiana University Health and the Indiana University School of Medicine Department of Psychiatry, Indianapolis, IN USA
| | - Craig A. Erickson
- Cincinnati Children’s Hospital Medical Center and the University of Cincinnati College of Medicine, 3333 Burnet Avenue MLC 4002, Cincinnati, OH 45229 USA
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Stangl BL, Vatsalya V, Zametkin MR, Cooke ME, Plawecki MH, O’Connor S, Ramchandani VA. Exposure-Response Relationships during Free-Access Intravenous Alcohol Self-Administration in Nondependent Drinkers: Influence of Alcohol Expectancies and Impulsivity. Int J Neuropsychopharmacol 2016; 20:31-39. [PMID: 27742833 PMCID: PMC5412584 DOI: 10.1093/ijnp/pyw090] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 10/11/2016] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Self-administration is a hallmark of all addictive drugs, including alcohol. Human laboratory models of alcohol self-administration have characterized alcohol-seeking behavior and served as surrogate measures of the effectiveness of pharmacotherapies for alcohol use disorders. Intravenous alcohol self-administration is a novel method that assesses alcohol exposure driven primarily by the pharmacological response to alcohol and may have utility in characterizing unique behavioral and personality correlates of alcohol-seeking and consumption. METHODS This study examined exposure-response relationships for i.v. alcohol self-administration, and the influence of impulsivity and alcohol expectancy, in healthy, nondependent drinkers (n=112). Participants underwent a 2.5-hour free-access i.v. alcohol self-administration session using the Computerized Alcohol Infusion System. Serial subjective response measures included the Drug Effects Questionnaire and Alcohol Urge Questionnaire. To characterize the motivational aspects of alcohol consumption prior to potential acute adaptation, the number of self-infusions in the first 30 minutes of the free-access session was used to classify participants as low- and high-responders. RESULTS High-responders showed greater subjective responses during i.v. alcohol self-administration compared with low responders, reflecting robust exposure-driven hedonic responses to alcohol. High-responders also reported heavier drinking patterns and lower scores for negative alcohol expectancies on the Alcohol Effects Questionnaire. High-responders also showed higher measures of impulsivity on a delayed discounting task, supporting previous work associating impulsivity with greater alcohol use and problems. CONCLUSIONS These findings indicate that early-phase measures of free-access i.v. alcohol self-administration are particularly sensitive to the rewarding and motivational properties of alcohol and may provide a unique phenotypic marker of alcohol-seeking behavior.
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Affiliation(s)
- Bethany L. Stangl
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Vatsalya Vatsalya
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Molly R. Zametkin
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Megan E. Cooke
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Martin H. Plawecki
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Sean O’Connor
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
| | - Vijay A. Ramchandani
- Section on Human Psychopharmacology, Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland (Drs Stangl and Vatsalya, Ms Zametkin, Ms Cooke, and Dr Ramchandani); University of Louisville and Robley Rex VA Medical Center, Louisville, Kentucky (Dr Vatsalya); Indiana University School of Medicine, Indianapolis, Indiana (Drs Plawecki and O’Connor)
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VanderVeen JD, Plawecki MH, Millward JB, Hays J, Kareken DA, O’Connor S, Cyders MA. Negative urgency, mood induction, and alcohol seeking behaviors. Drug Alcohol Depend 2016; 165:151-8. [PMID: 27291583 PMCID: PMC5045899 DOI: 10.1016/j.drugalcdep.2016.05.026] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2016] [Revised: 05/27/2016] [Accepted: 05/30/2016] [Indexed: 01/09/2023]
Abstract
BACKGROUND Negative urgency, defined as impulsive risk-taking during extreme negative emotional states, is the most important impulsivity-related trait for alcohol-related problems and alcohol dependence. However, how negative urgency imparts risk for alcohol-related problems is not yet well understood. Therefore, the goal of the current study was to examine how negative urgency relates to separable aspects of the emotional experience and alcohol-seeking behaviors. METHODS A total of 34 (19 women) community-dwelling, alcohol-using adults aged 21-32 (mean age=24.86, SD=3.40, 74.3% Caucasian) completed two counterbalanced intravenous alcohol self-administration sessions: one during a neutral mood condition and one during a negative mood condition. RESULTS Negative urgency was associated with 1) greater mood change following negative mood induction (F=4.38, df=15, p=0.002, η2=0.87), but was unrelated to changes in craving or cortisol release in response to mood induction; 2) greater alcohol craving prior to and after an alcohol prime (F=3.27, p=0.02, η2=0.86), but only in the negative and not the neutral mood condition; and 3) higher peak BrAC (F=2.13, df=42, p=0.02, η2=0.48), continuing to increase intoxication level over a longer period (F=3.77, df=42, p<0.001, η2=0.62), and more alcohol seeking (F=21.73, df=22, p<0.001, η2=0.94) throughout the negative session. Negative urgency was associated with overall lower cortisol release. CONCLUSIONS These results highlight the importance of assessing behavioral indicators of negative urgency under mood condition, and suggest that negative urgency may amplify alcohol self-administration through increased negative emotional reactivity to mood events and increased alcohol craving after initial alcohol exposure, leading to maintenance of alcohol related behavior.
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Affiliation(s)
- J. Davis VanderVeen
- Indiana University – Purdue University Indianapolis, Department of Psychology
| | | | | | - James Hays
- Indiana University School of Medicine, Department of Psychiatry
| | - David A. Kareken
- Indiana University School of Medicine, Department of Psychiatry,Indiana University School of Medicine, Department of Neurology
| | - Sean O’Connor
- Indiana University School of Medicine, Department of Psychiatry,R.L. Roudebush VAMC, Indianapolis
| | - Melissa A. Cyders
- Indiana University – Purdue University Indianapolis, Department of Psychology
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Jünger E, Gan G, Mick I, Seipt C, Markovic A, Sommer C, Plawecki MH, O'Connor S, Smolka MN, Zimmermann US. Adolescent Women Induce Lower Blood Alcohol Levels Than Men in a Laboratory Alcohol Self-Administration Experiment. Alcohol Clin Exp Res 2016; 40:1769-78. [PMID: 27340798 DOI: 10.1111/acer.13122] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 05/02/2016] [Indexed: 12/01/2022]
Abstract
BACKGROUND Adolescence is a critical period for the development of alcohol use disorders; drinking habits are rather unstable and genetic influences, such as male sex and a positive family history of alcoholism (FH), are often masked by environmental factors such as peer pressure. METHODS We investigated how sex and FH modulate alcohol use in a sample of 18- to 19-year-olds from the Dresden Longitudinal Study on Alcohol use in Young Adults. Adolescents reported their real-life drinking in a TimeLine Follow-Back interview. They subsequently completed a training and an experimental session of free-access intravenous alcohol self-administration (i.v. ASA) using the computer-assisted alcohol infusion system to control for environmental cues as well as for biological differences in alcohol pharmacokinetics. During i.v. ASA, we assessed subjective alcohol effects at 8 time points. RESULTS Women reported significantly less real-life drinking than men and achieved significantly lower mean arterial blood alcohol concentrations (aBACs) in the laboratory. At the same time, women reported greater sedation relative to men and rated negative effects as high as did men. A positive FH was associated with lower real-life drinking in men but not in women. In the laboratory, FH was not linked to i.v. ASA. Greater real-life drinking was significantly positively associated with higher mean aBACs in the laboratory, and all i.v. ASA indices were highly correlated across the 2 sessions. CONCLUSIONS We conclude that adolescent women chose lower aBACs because they experienced adverse alcohol effects, namely sedation and negative effects, at lower aBACs than men. A positive FH was not apparent as risk factor for drinking in our young sample. The i.v. ASA method demonstrated good external validity as well as test-retest reliability, the latter indicating that a separate training session is not required when employing the i.v. ASA paradigm.
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Affiliation(s)
- Elisabeth Jünger
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Gabriela Gan
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Inge Mick
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Christian Seipt
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Alexandra Markovic
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Christian Sommer
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Martin H Plawecki
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
| | - Sean O'Connor
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.,Roudebush Veterans Medical Center, Indianapolis, Indiana
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Ulrich S Zimmermann
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
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