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Veerappa A, Pendyala G, Guda C. A systems omics-based approach to decode substance use disorders and neuroadaptations. Neurosci Biobehav Rev 2021; 130:61-80. [PMID: 34411560 PMCID: PMC8511293 DOI: 10.1016/j.neubiorev.2021.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/23/2021] [Accepted: 08/14/2021] [Indexed: 11/15/2022]
Abstract
Substance use disorders (SUDs) are a group of neuropsychiatric conditions manifesting due to excessive dependence on potential drugs of abuse such as psychostimulants, opioids including prescription opioids, alcohol, inhalants, etc. Experimental studies have generated enormous data in the area of SUDs, but outcomes from such data have remained largely fragmented. In this review, we attempt to coalesce these data points providing an important first step towards our understanding of the etiology of SUDs. We propose and describe a 'core addictome' pathway that behaves central to all SUDs. Besides, we also have made some notable observations paving way for several hypotheses; MECP2 behaves as a master switch during substance use; five distinct gene clusters were identified based on respective substance addiction; a central cluster of genes serves as a hub of the addiction pathway connecting all other substance addiction clusters. In addition to describing these findings, we have emphasized the importance of some candidate genes that are of substantial interest for further investigation and serve as high-value targets for translational efforts.
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Affiliation(s)
- Avinash Veerappa
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Gurudutt Pendyala
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA; Department of Anesthesiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA; Child Health Research Institute, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Chittibabu Guda
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA; Center for Biomedical Informatics Research and Innovation, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
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2
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Semick SA, Collado-Torres L, Markunas CA, Shin JH, Deep-Soboslay A, Tao R, Huestis M, Bierut LJ, Maher BS, Johnson EO, Hyde TM, Weinberger DR, Hancock DB, Kleinman JE, Jaffe AE. Developmental effects of maternal smoking during pregnancy on the human frontal cortex transcriptome. Mol Psychiatry 2020; 25:3267-3277. [PMID: 30131587 PMCID: PMC6438764 DOI: 10.1038/s41380-018-0223-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 06/18/2018] [Accepted: 06/20/2018] [Indexed: 01/05/2023]
Abstract
Cigarette smoking during pregnancy is a major public health concern. While there are well-described consequences in early child development, there is very little known about the effects of maternal smoking on human cortical biology during prenatal life. We therefore performed a genome-wide differential gene expression analysis using RNA sequencing (RNA-seq) on prenatal (N = 33; 16 smoking-exposed) as well as adult (N = 207; 57 active smokers) human postmortem prefrontal cortices. Smoking exposure during the prenatal period was directly associated with differential expression of 14 genes; in contrast, during adulthood, despite a much larger sample size, only two genes showed significant differential expression (FDR < 10%). Moreover, 1,315 genes showed significantly different exposure effects between maternal smoking during pregnancy and direct exposure in adulthood (FDR < 10%)-these differences were largely driven by prenatal differences that were enriched for pathways previously implicated in addiction and synaptic function. Furthermore, prenatal and age-dependent differentially expressed genes were enriched for genes implicated in non-syndromic autism spectrum disorder (ASD) and were differentially expressed as a set between patients with ASD and controls in postmortem cortical regions. These results underscore the enhanced sensitivity to the biological effect of smoking exposure in the developing brain and offer insight into how maternal smoking during pregnancy affects gene expression in the prenatal human cortex. They also begin to address the relationship between in utero exposure to smoking and the heightened risks for the subsequent development of neuropsychiatric disorders.
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Affiliation(s)
- Stephen A. Semick
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA
| | - Leonardo Collado-Torres
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA,Center for Computational Biology, Johns Hopkins University,
Baltimore, MD, 21205, USA
| | - Christina A. Markunas
- Behavioral and Urban Health Program, Behavioral Health and
Criminal Justice Division, RTI International, Research Triangle Park, NC, 27709,
USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA
| | - Amy Deep-Soboslay
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA
| | - Ran Tao
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA
| | - Marilyn Huestis
- The Lambert Center for the Study of Medicinal Cannabis and
Hemp, Institute of Emerging Health Professions, Thomas Jefferson University,
Philadelphia, PA, USA
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of
Medicine, St. Louis, MO 63110, USA
| | - Brion S. Maher
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD, 21205, USA
| | - Eric O. Johnson
- Fellow Program and Behavioral Health and Criminal Justice
Division, RTI International, Research Triangle Park, NC, 27709, USA
| | - Thomas M. Hyde
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA,Department of Psychiatry and Behavioral Sciences, Johns
Hopkins School of Medicine, Baltimore, MD 21205, USA,Department of Neurology, Johns Hopkins School of Medicine,
Baltimore, MD, 21205, USA
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA,Department of Psychiatry and Behavioral Sciences, Johns
Hopkins School of Medicine, Baltimore, MD 21205, USA,Department of Neurology, Johns Hopkins School of Medicine,
Baltimore, MD, 21205, USA,Department of Neuroscience, Johns Hopkins School of
Medicine, Baltimore, MD, 21205, USA,McKusick-Nathans Institute of Genetic Medicine, Johns
Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Dana B. Hancock
- Behavioral and Urban Health Program, Behavioral Health and
Criminal Justice Division, RTI International, Research Triangle Park, NC, 27709,
USA
| | - Joel E. Kleinman
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA,Department of Psychiatry and Behavioral Sciences, Johns
Hopkins School of Medicine, Baltimore, MD 21205, USA,Contact: Lieber Institute for Brain Development,
855 N Wolfe St, Ste 300. Baltimore MD 21205. Ph: 1-410-955-1000
| | - Andrew E. Jaffe
- Lieber Institute for Brain Development, Johns Hopkins
Medical Campus, Baltimore, MD, 21205, USA,Center for Computational Biology, Johns Hopkins University,
Baltimore, MD, 21205, USA,Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD, 21205, USA,McKusick-Nathans Institute of Genetic Medicine, Johns
Hopkins School of Medicine, Baltimore, MD 21205, USA,Department of Biostatistics, Johns Hopkins Bloomberg
School of Public Health, Baltimore, MD, 21205, USA,Contact: Lieber Institute for Brain Development, 855
N Wolfe St, Ste 300. Baltimore MD 21205. Ph: 1-410-955-1000
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Henderson JA, Buchwald DS, Howard BV, Henderson PN, Li Y, Tyndale RF, Amos CI, Gorlova OY. Genetics of Smoking Behaviors in American Indians. Cancer Epidemiol Biomarkers Prev 2020; 29:2180-2186. [PMID: 32855268 DOI: 10.1158/1055-9965.epi-20-0026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 04/15/2020] [Accepted: 08/18/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The smoking behavior of American Indians (AI) differs from that of non-Hispanic whites (NHW). Typically light smokers, cessation interventions in AIs are generally less effective. To develop more effective cessation programs for AIs, clinicians, researchers, and public health workers need a better understanding of the genetic factors involved in their smoking behavior. Our aim was to assess whether SNPs associated with smoking behavior in NHWs are also associated with smoking in AIs. METHODS We collected questionnaire data on smoking behaviors and analyzed blood and saliva samples from two Tribal populations with dramatically different cultures and smoking prevalence, one in the Northern Plains (n = 323) and the other in the Southwest (n = 176). A total of 384 SNPs were genotyped using an Illumina custom GoldenGate platform. Samples were also assessed for cotinine and 3-hydroxycotinine as markers of nicotine intake and nicotine metabolite ratio. RESULTS Among 499 participants, we identified, in the Northern Plains sample only, a variant of the gamma-aminobutyric acid receptor subunit alpha-2 (GABRA2) (rs2119767) on chromosome 4p that was associated with many of the intake biomarkers of smoking we examined, suggesting a role for this gene in modifying smoking behavior in this population. We also identified three SNPs, in the Southwest sample only, as significant correlates of only cigarettes per day: rs4274224, rs4245147 (both dopamine receptor D2 gene), and rs1386493 (tryptophan hydroxylase 2 gene). CONCLUSIONS The contribution of many genes known to underlie smoking behaviors in NHWs may differ in AIs. IMPACT Once validated, these variants could be useful in developing more effective cessation strategies.
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Affiliation(s)
| | - Dedra S Buchwald
- Elson S. Floyd College of Medicine, Washington State University, Seattle, Washington
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, Maryland
- The Georgetown-Howard Universities Center for Clinical and Translational Sciences, Washington, District of Columbia
| | | | - Yafang Li
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas
| | - Rachel F Tyndale
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas
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García-Martín E, Ramos MI, Cornejo-García JA, Galván S, Perkins JR, Rodríguez-Santos L, Alonso-Navarro H, Jiménez-Jiménez FJ, Agúndez JAG. Missense Gamma-Aminobutyric Acid Receptor Polymorphisms Are Associated with Reaction Time, Motor Time, and Ethanol Effects in Vivo. Front Cell Neurosci 2018; 12:10. [PMID: 29445327 PMCID: PMC5797743 DOI: 10.3389/fncel.2018.00010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 01/08/2018] [Indexed: 01/15/2023] Open
Abstract
Background: The Gamma-aminobutyric acid type A receptor (GABA-A receptor) is affected by ethanol concentrations equivalent to those reached during social drinking. At these concentrations, ethanol usually causes impairment in reaction and motor times in most, but not all, individuals. Objectives: To study the effect of GABA-A receptor variability in motor and reaction times, and the effect of low ethanol doses. Methods: Two hundred and fifty healthy subjects received one single dose of 0.5 g/Kg ethanol per os. Reaction and motor times were determined before ethanol challenge (basal), and when participants reached peak ethanol concentrations. We analyzed all common missense polymorphisms described in the 19 genes coding for the GABA-A receptor subunits by using TaqMan probes. Results: The GABRA6 rs4454083 T/C polymorphisms were related to motor times, with individuals carrying the C/C genotype having faster motor times, both, at basal and at peak ethanol concentrations. The GABRA4 rs2229940 T/T genotype was associated to faster reaction times and with lower ethanol effects, determined as the difference between basal reaction time and reaction time at peak concentrations. All these associations remained significant after correction for multiple comparisons. No significant associations were observed for the common missense SNPs GABRB3 rs12910925, GABRG2 rs211035, GABRE rs1139916, GABRP rs1063310, GABRQ rs3810651, GABRR1 rs12200969 or rs1186902, GABRR2 rs282129, and GABRR3 rs832032. Conclusions: This study provides novel information supporting a role of missense GABA-A receptor polymorphisms in reaction time, motor time and effects of low ethanol doses in vivo.
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Affiliation(s)
- Elena García-Martín
- Department of Pharmacology, Universidad de Extremadura, Cáceres, Spain.,ARADyAL Network, Instituto de Salud Carlos III, Madrid, Spain
| | - María I Ramos
- Department of Psychiatry, Universidad de Extremadura, Badajoz, Spain
| | - José A Cornejo-García
- ARADyAL Network, Instituto de Salud Carlos III, Madrid, Spain.,Research Laboratory, Instituto de Investigación Biomédica de Málaga, Regional University Hospital of Malaga, UMA, Malaga, Spain
| | - Segismundo Galván
- Department of Pharmacology, Universidad de Extremadura, Cáceres, Spain
| | - James R Perkins
- ARADyAL Network, Instituto de Salud Carlos III, Madrid, Spain.,Research Laboratory, Instituto de Investigación Biomédica de Málaga, Regional University Hospital of Malaga, UMA, Malaga, Spain
| | | | | | | | - José A G Agúndez
- Department of Pharmacology, Universidad de Extremadura, Cáceres, Spain.,ARADyAL Network, Instituto de Salud Carlos III, Madrid, Spain
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Converging findings from linkage and association analyses on susceptibility genes for smoking and other addictions. Mol Psychiatry 2016; 21:992-1008. [PMID: 27166759 PMCID: PMC4956568 DOI: 10.1038/mp.2016.67] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 03/05/2016] [Accepted: 03/09/2016] [Indexed: 12/18/2022]
Abstract
Experimental approaches to genetic studies of complex traits evolve with technological advances. How do discoveries using different approaches advance our knowledge of the genetic architecture underlying complex diseases/traits? Do most of the findings of newer techniques, such as genome-wide association study (GWAS), provide more information than older ones, for example, genome-wide linkage study? In this review, we address these issues by developing a nicotine dependence (ND) genetic susceptibility map based on the results obtained by the approaches commonly used in recent years, namely, genome-wide linkage, candidate gene association, GWAS and targeted sequencing. Converging and diverging results from these empirical approaches have elucidated a preliminary genetic architecture of this intractable psychiatric disorder and yielded new hypotheses on ND etiology. The insights we obtained by putting together results from diverse approaches can be applied to other complex diseases/traits. In sum, developing a genetic susceptibility map and keeping it updated are effective ways to keep track of what we know about a disease/trait and what the next steps may be with new approaches.
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Abstract
The aim of Addiction Biology is to advance our understanding of the action of drugs of abuse and addictive processes via the publication of high-impact clinical and pre-clinical findings resulting from behavioral, molecular, genetic, biochemical, neurobiological and pharmacological research. As of 2013, Addiction Biology is ranked number 1 in the category of Substance Abuse journals (SCI). Occasionally, Addiction Biology likes to highlight via review important findings focused on a particular topic and recently published in the journal. The current review summarizes a number of key publications from Addiction Biology that have contributed to the current knowledge of nicotine research, comprising a wide spectrum of approaches, both clinical and pre-clinical, at the cellular, molecular, systems and behavioral levels. A number of findings from human studies have identified, using imaging techniques, alterations in common brain circuits, as well as morphological and network activity changes, associated with tobacco use. Furthermore, both clinical and pre-clinical studies have characterized a number of mechanistic targets critical to understanding the effects of nicotine and tobacco addiction. Together, these findings will undoubtedly drive future studies examining the dramatic impact of tobacco use and the development of treatments to counter nicotine dependence.
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Affiliation(s)
- Rick E. Bernardi
- Institute of Psychopharmacology; Central Institute of Mental Health; Medical Faculty Mannheim/Heidelberg University; Germany
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7
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Gene network analysis shows immune-signaling and ERK1/2 as novel genetic markers for multiple addiction phenotypes: alcohol, smoking and opioid addiction. BMC SYSTEMS BIOLOGY 2015; 9:25. [PMID: 26044620 PMCID: PMC4456775 DOI: 10.1186/s12918-015-0167-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Accepted: 05/12/2015] [Indexed: 01/09/2023]
Abstract
Background Addictions to alcohol and tobacco, known risk factors for cancer, are complex heritable disorders. Addictive behaviors have a bidirectional relationship with pain. We hypothesize that the associations between alcohol, smoking, and opioid addiction observed in cancer patients have a genetic basis. Therefore, using bioinformatics tools, we explored the underlying genetic basis and identified new candidate genes and common biological pathways for smoking, alcohol, and opioid addiction. Results Literature search showed 56 genes associated with alcohol, smoking and opioid addiction. Using Core Analysis function in Ingenuity Pathway Analysis software, we found that ERK1/2 was strongly interconnected across all three addiction networks. Genes involved in immune signaling pathways were shown across all three networks. Connect function from IPA My Pathway toolbox showed that DRD2 is the gene common to both the list of genetic variations associated with all three addiction phenotypes and the components of the brain neuronal signaling network involved in substance addiction. The top canonical pathways associated with the 56 genes were: 1) calcium signaling, 2) GPCR signaling, 3) cAMP-mediated signaling, 4) GABA receptor signaling, and 5) G-alpha i signaling. Conlusions Cancer patients are often prescribed opioids for cancer pain thus increasing their risk for opioid abuse and addiction. Our findings provide candidate genes and biological pathways underlying addiction phenotypes, which may be future targets for treatment of addiction. Further study of the variations of the candidate genes could allow physicians to make more informed decisions when treating cancer pain with opioid analgesics. Electronic supplementary material The online version of this article (doi:10.1186/s12918-015-0167-x) contains supplementary material, which is available to authorized users.
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Shityakov S, Sohajda T, Puskás I, Roewer N, Förster C, Broscheit JA. Ionization states, cellular toxicity and molecular modeling studies of midazolam complexed with trimethyl-β-cyclodextrin. Molecules 2014; 19:16861-76. [PMID: 25338177 PMCID: PMC6270744 DOI: 10.3390/molecules191016861] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Revised: 10/06/2014] [Accepted: 10/15/2014] [Indexed: 11/24/2022] Open
Abstract
We investigated the ionization profiles for open-ring (OR) and closed-ring (CR) forms of midazolam and drug-binding modes with heptakis-(2,3,6-tri-O-methyl)-β-cyclodextrin (trimethyl-β-cyclodextrin; TRIMEB) using molecular modeling techniques and quantum mechanics methods. The results indicated that the total net charges for different molecular forms of midazolam tend to be cationic for OR and neutral for CR at physiological pH levels. The thermodynamic calculations demonstrated that CR is less water-soluble than OR, mainly due to the maximal solvation energy ( = −9.98 kcal·mol−1), which has a minimal of −67.01 kcal·mol−1. A cell viability assay did not detect any signs of TRIMEB and OR/CR-TRIMEB complex toxicity on the cEND cells after 24 h of incubation in either Dulbecco’s Modified Eagles Medium or in heat-inactivated human serum. The molecular docking studies identified the more flexible OR form of midazolam as being a better binder to TRIMEB with the fluorophenyl ring introduced inside the amphiphilic cavity of the host molecule. The OR binding affinity was confirmed by a minimal Gibbs free energy of binding (ΔGbind) value of −5.57 ± 0.02 kcal·mol−1, an equilibrium binding constant (Kb) of 79.89 ± 2.706 μM, and a ligand efficiency index (LElig) of −0.21 ± 0.001. Our current data suggest that in order to improve the clinical applications of midazolam via its complexation with trimethyl-β-cyclodextrin to increase drug’s overall aqueous solubility, it is important to concern the different forms and ionization states of this anesthetic. All mean values are indicated with their standard deviations.
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Affiliation(s)
- Sergey Shityakov
- Department of Anaesthesia and Critical Care, University of Würzburg, 97080 Würzburg, Germany.
| | - Tamás Sohajda
- CycloLab Cyclodextrin Research & Development Laboratory Ltd., H-1097 Budapest, Hungary.
| | - István Puskás
- CycloLab Cyclodextrin Research & Development Laboratory Ltd., H-1097 Budapest, Hungary.
| | - Norbert Roewer
- Department of Anaesthesia and Critical Care, University of Würzburg, 97080 Würzburg, Germany.
| | - Carola Förster
- Department of Anaesthesia and Critical Care, University of Würzburg, 97080 Würzburg, Germany.
| | - Jens-Albert Broscheit
- Department of Anaesthesia and Critical Care, University of Würzburg, 97080 Würzburg, Germany.
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Li X, Semenova S, D'Souza MS, Stoker AK, Markou A. Involvement of glutamatergic and GABAergic systems in nicotine dependence: Implications for novel pharmacotherapies for smoking cessation. Neuropharmacology 2014; 76 Pt B:554-65. [PMID: 23752091 PMCID: PMC3830589 DOI: 10.1016/j.neuropharm.2013.05.042] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2013] [Revised: 05/14/2013] [Accepted: 05/15/2013] [Indexed: 01/29/2023]
Abstract
Tobacco smoking continues to be a major global health hazard despite significant public awareness of its harmful consequences. Although several treatment options are currently available for smoking cessation, these medications are effective in only a small subset of smokers, and relapse rates continue to be high. Therefore, a better understanding of the neurobiological mechanisms that mediate tobacco dependence is essential for the development of effective smoking cessation medications. Nicotine is the primary psychoactive component of tobacco that drives the harmful tobacco smoking habit. Nicotine binds to nicotinic acetylcholine receptors (nAChRs) in the brain, resulting in the release of a wide range of neurotransmitters, including glutamate and γ-aminobutyric acid (GABA). This review article focuses on the role of the excitatory glutamate system and inhibitory GABA system in nicotine dependence. Accumulating evidence suggests that blockade of glutamatergic transmission or facilitation of GABAergic transmission attenuates the positive reinforcing and incentive motivational aspects of nicotine, inhibits the reward-enhancing and conditioned rewarding effects of nicotine, and blocks nicotine-seeking behavior. Chronic nicotine exposure produced long-term neuroadaptations that contribute to nicotine withdrawal, but the role of GABA and glutamate transmission in nicotine withdrawal is less understood. Overall, the findings presented in this review provide strong converging evidence for the potential effectiveness of glutamatergic and GABAergic medications in nicotine dependence. This article is part of a Special Issue entitled 'NIDA 40th Anniversary Issue'.
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Affiliation(s)
| | | | | | - Astrid K. Stoker
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Athina Markou
- Department of Psychiatry, School of Medicine, University of California San Diego, La Jolla, CA, USA
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Wagner M, Schulze-Rauschenbach S, Petrovsky N, Brinkmeyer J, von der Goltz C, Gründer G, Spreckelmeyer KN, Wienker T, Diaz-Lacava A, Mobascher A, Dahmen N, Clepce M, Thuerauf N, Kiefer F, de Millas JW, Gallinat J, Winterer G. Neurocognitive impairments in non-deprived smokers--results from a population-based multi-center study on smoking-related behavior. Addict Biol 2013; 18:752-61. [PMID: 22339903 DOI: 10.1111/j.1369-1600.2011.00429.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
The aim of the present study was to examine neurocognitive function associated with chronic nicotine use. A total of 2163 healthy participants (1002 smokers, 1161 never-smoking controls) participated in a population-based case-control design. The main outcome measures were six cognitive domain factors derived from a neuropsychological test battery. In smokers, the battery was administered after controlled smoking of one cigarette. Analyses included age, sex and education as covariates. Results demonstrated small, but significant deficits in smokers for visual attention (P<0.001) and cognitive impulsivity (P<0.006), while verbal episodic memory, verbal fluency, verbal working memory, and Stroop-interference did not differ between groups. These attention/impulsivity deficits were also present in smokers with only a low amount of cigarette consumption. Lifetime nicotine use (pack-years) was not correlated with cognition in smokers. In conclusion, this study confirmed subtle and specific cognitive deficits in non-deprived smokers. The independence of these deficits from consumption intensity may argue for an a priori deficit of some cognitive abilities in smokers. These specific deficits may constitute intermediate phenotypes for genetic research on nicotine use.
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Wehby GL, Wilcox A, Lie RT. The Impact of Cigarette Quitting during Pregnancy on Other Prenatal Health Behaviors. REVIEW OF ECONOMICS OF THE HOUSEHOLD 2013; 11:211-233. [PMID: 23807871 PMCID: PMC3690665 DOI: 10.1007/s11150-012-9163-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Several economic studies have evaluated the effects of cigarette smoking and quitting on other health behaviors such as alcohol use and weight gain. However, there is little research that evaluates the effects of cigarette quitting during pregnancy on other health behaviors such as caloric intake, alcohol consumption, multivitamin use, and caffeine intake. In this paper, we evaluate these effects and employ a genetic variant that predicts cigarette quitting to aid in identification. We find some evidence that cigarette quitting during pregnancy may increase multivitamin use and caloric intake and reduce caffeine consumption.
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Affiliation(s)
- George L. Wehby
- Associate Professor of Health Economics, Dept. of Health Management and Policy, College of Public Health, University of Iowa, 105 River Street, N248 CPHB, Iowa City, IA 52242, Phone: 319-384-3814, Fax: 319-384-4371
| | - Allen Wilcox
- National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
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Stokes PR, Benecke A, Myers J, Erritzoe D, Watson BJ, Kalk N, Barros DR, Hammers A, Nutt DJ, Lingford-Hughes AR. History of cigarette smoking is associated with higher limbic GABAA receptor availability. Neuroimage 2013; 69:70-7. [DOI: 10.1016/j.neuroimage.2012.12.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2012] [Revised: 11/22/2012] [Accepted: 12/06/2012] [Indexed: 10/27/2022] Open
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13
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Wang MP, Ho SY, Lo WS, Lam TH. Smoking family, secondhand smoke exposure at home, and quitting in adolescent smokers. Nicotine Tob Res 2012; 15:185-91. [PMID: 22547778 DOI: 10.1093/ntr/nts109] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION This study investigated the associations of smoking family and secondhand smoke (SHS) exposure at home with quit attempts and smoking cessation among adolescents. METHODS Students from 85 randomly selected secondary schools in Hong Kong were surveyed using an anonymous self-administered questionnaire on SHS exposure at home and outside the home in the past 7 days, quit attempts, smoking cessation, sociodemographic characteristics, and smoking status of family members and peers. Families with 1 or more smoking members (excluding the subject) were classified as smoking families and otherwise as nonsmoking families. Logistic regression yielded adjusted odds ratios (AORs) for quit attempts and smoking cessation in smoking families with or without SHS exposure at home compared with nonsmoking families. RESULTS Of 4,361 students who had smoked in the past 12 months, 70.3% were living with smokers and 52.8% were exposed to SHS at home. Compared with nonsmoking families, the AORs (95% CI) for making at least 1 quit attempt in the past 12 months were 0.80 (0.61-1.05) for 0 day, 0.80 (0.63-1.04) for 1-3 days, and 0.65 (0.50-0.86) for 4-7 days of SHS exposure at home. The corresponding AORs (95% CI) for smoking cessation were 0.58 (0.48-0.70), 0.45 (0.35-0.58), and 0.49 (0.41-0.60) (p for trend <.001). Any SHS exposure at home was associated with 28% and 53% lower odds of quit attempts and smoking cessation, respectively. CONCLUSIONS Living with smoker(s) and especially being exposed to SHS at home may hinder quit attempts and smoking cessation among Chinese adolescent smokers.
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Affiliation(s)
- Man Ping Wang
- School of Public Health, University of Hong Kong, Pokfulam, Hong Kong
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Wehby GL, Murray JC, Wilcox A, Lie RT. Smoking and body weight: evidence using genetic instruments. ECONOMICS AND HUMAN BIOLOGY 2012; 10:113-26. [PMID: 22024417 PMCID: PMC3272157 DOI: 10.1016/j.ehb.2011.09.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2010] [Revised: 09/12/2011] [Accepted: 09/15/2011] [Indexed: 05/09/2023]
Abstract
Several studies have evaluated whether the high and rising obesity rates over the past three decades may be due to the declining smoking rates. There is mixed evidence across studies - some find negative smoking effects and positive cigarette cost effects on body weight, while others find opposite effects. This study applies a unique approach to identify the smoking effects on body weight and to evaluate the heterogeneity in these effects across the body mass index (BMI) distribution by utilizing genetic instruments for smoking. Using a data sample of 1057 mothers from Norway, the study finds heterogeneous effects of cigarette smoking on BMI - smoking increases BMI at low/moderate BMI levels and decreases BMI at high BMI levels. The study highlights the potential advantages and challenges of employing genetic instrumental variables to identify behavior effects including the importance of qualifying the instruments and the need for large samples.
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Affiliation(s)
- George L Wehby
- Dept. of Health Management and Policy, College of Public Health, University of Iowa, 200 Hawkins Drive, E205 GH, Iowa City, IA 52242, USA.
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Zebrafish: a model for the study of addiction genetics. Hum Genet 2011; 131:977-1008. [PMID: 22207143 DOI: 10.1007/s00439-011-1128-0] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2011] [Accepted: 12/11/2011] [Indexed: 12/20/2022]
Abstract
Drug abuse and dependence are multifaceted disorders with complex genetic underpinnings. Identifying specific genetic correlates is challenging and may be more readily accomplished by defining endophenotypes specific for addictive disorders. Symptoms and syndromes, including acute drug response, consumption, preference, and withdrawal, are potential endophenotypes characterizing addiction that have been investigated using model organisms. We present a review of major genes involved in serotonergic, dopaminergic, GABAergic, and adrenoreceptor signaling that are considered to be directly involved in nicotine, opioid, cannabinoid, and ethanol use and dependence. The zebrafish genome encodes likely homologs of the vast majority of these loci. We also review the known expression patterns of these genes in zebrafish. The information presented in this review provides support for the use of zebrafish as a viable model for studying genetic factors related to drug addiction. Expansion of investigations into drug response using model organisms holds the potential to advance our understanding of drug response and addiction in humans.
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Bernow N, Kruck B, Pfeifer P, Lieb K, Tüscher O, Fehr C. Impulsiveness and venturesomeness in German smokers. Nicotine Tob Res 2011; 13:714-21. [PMID: 21498428 DOI: 10.1093/ntr/ntr064] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Cigarette smoking is a behavior, which is influenced by genetic, demographic, and psychological factors. A large body of research has examined the association of cigarette smoking variables with individual differences in personality traits. The aim of the current study was to replicate the findings of higher self-reported impulsivity in smokers compared with never-smokers in a German sample using Eysenck´s construct of impulsivity. Furthermore, it was intended to further the knowledge about associations between different self-reported impulsivity components and different smoking variables. METHODS We used the Impulsiveness-Venturesomeness-Empathy questionnaire (I7) to measure self-reported impulsiveness and venturesomeness and the Temperament and Character Inventory (TCI) to measure novelty seeking (NS) in a sample of 82 nicotine-dependent smokers and 119 never-smokers. RESULTS Smokers scored higher on impulsiveness, venturesomeness, and NS than never-smokers independent of age, gender, and years of education. We found a significant association between venturesomeness, impulsiveness and smoking status in daily smokers. CONCLUSIONS In summary, this study provides evidence that impulsiveness and venturesomeness as well as the novelty-seeking subscale extravagance are significantly associated with smoking status in a German sample of female and male smokers compared with never-smokers.
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Affiliation(s)
- Nina Bernow
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Strasse 8, Mainz, Germany.
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