Literature DB >> 20643934

A genetically modulated, intrinsic cingulate circuit supports human nicotine addiction.

L Elliot Hong1, Colin A Hodgkinson, Yihong Yang, Hemalatha Sampath, Thomas J Ross, Brittany Buchholz, Betty Jo Salmeron, Vibhuti Srivastava, Gunvant K Thaker, David Goldman, Elliot A Stein.   

Abstract

Whole-genome searches have identified nicotinic acetylcholine receptor alpha5-alpha3-beta4 subunit gene variants that are associated with smoking. How genes support this addictive and high-risk behavior through their expression in the brain remains poorly understood. Here we show that a key alpha5 gene variant Asp398Asn is associated with a dorsal anterior cingulate-ventral striatum/extended amygdala circuit, such that the "risk allele" decreases the intrinsic resting functional connectivity strength in this circuit. Importantly, this effect is observed independently in nonsmokers and smokers, although the circuit strength distinguishes smokers from nonsmokers, predicts addiction severity in smokers, and is not secondary to smoking per se, thus representing a trait-like circuitry biomarker. This same circuit is further impaired in people with mental illnesses, who have the highest rate of smoking. Identifying where and how brain circuits link genes to smoking provides practical neural circuitry targets for new treatment development.

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Year:  2010        PMID: 20643934      PMCID: PMC2922167          DOI: 10.1073/pnas.1004745107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  56 in total

1.  Brain metabolic changes during cigarette craving.

Authors:  Arthur L Brody; Mark A Mandelkern; Edythe D London; Anna Rose Childress; Grace S Lee; Robert G Bota; Matthew L Ho; Sanjaya Saxena; Lewis R Baxter; Damian Madsen; Murray E Jarvik
Journal:  Arch Gen Psychiatry       Date:  2002-12

2.  Comorbidity of mental disorders with alcohol and other drug abuse. Results from the Epidemiologic Catchment Area (ECA) Study.

Authors:  D A Regier; M E Farmer; D S Rae; B Z Locke; S J Keith; L L Judd; F K Goodwin
Journal:  JAMA       Date:  1990-11-21       Impact factor: 56.272

Review 3.  A new anatomical framework for neuropsychiatric disorders and drug abuse.

Authors:  Lennart Heimer
Journal:  Am J Psychiatry       Date:  2003-10       Impact factor: 18.112

4.  Alpha 5, alpha 3, and non-alpha 3. Three clustered avian genes encoding neuronal nicotinic acetylcholine receptor-related subunits.

Authors:  S Couturier; L Erkman; S Valera; D Rungger; S Bertrand; J Boulter; M Ballivet; D Bertrand
Journal:  J Biol Chem       Date:  1990-10-15       Impact factor: 5.157

5.  The distribution of mRNA encoded by a new member of the neuronal nicotinic acetylcholine receptor gene family (alpha 5) in the rat central nervous system.

Authors:  E Wada; D McKinnon; S Heinemann; J Patrick; L W Swanson
Journal:  Brain Res       Date:  1990-08-27       Impact factor: 3.252

6.  Prevalence of smoking among psychiatric outpatients.

Authors:  J R Hughes; D K Hatsukami; J E Mitchell; L A Dahlgren
Journal:  Am J Psychiatry       Date:  1986-08       Impact factor: 18.112

7.  The effect of an acute nicotine infusion on the local cerebral glucose utilization of the awake rat.

Authors:  F Grünwald; H Schröck; W Kuschinsky
Journal:  Brain Res       Date:  1987-01-06       Impact factor: 3.252

8.  The nicotinic acetylcholine receptor subunit alpha 5 mediates short-term effects of nicotine in vivo.

Authors:  Ramiro Salas; Avi Orr-Urtreger; Ron S Broide; Arthur Beaudet; Richard Paylor; Mariella De Biasi
Journal:  Mol Pharmacol       Date:  2003-05       Impact factor: 4.436

9.  Subunit composition and pharmacology of two classes of striatal presynaptic nicotinic acetylcholine receptors mediating dopamine release in mice.

Authors:  Outi Salminen; Karen L Murphy; J Michael McIntosh; John Drago; Michael J Marks; Allan C Collins; Sharon R Grady
Journal:  Mol Pharmacol       Date:  2004-06       Impact factor: 4.436

Review 10.  Novel neural modulators.

Authors:  Darren Boehning; Solomon H Snyder
Journal:  Annu Rev Neurosci       Date:  2003       Impact factor: 12.449

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  92 in total

1.  Rare missense variants in CHRNB4 are associated with reduced risk of nicotine dependence.

Authors:  Gabe Haller; Todd Druley; Francesco L Vallania; Robi D Mitra; Ping Li; Gustav Akk; Joe Henry Steinbach; Naomi Breslau; Eric Johnson; Dorothy Hatsukami; Jerry Stitzel; Laura J Bierut; Alison M Goate
Journal:  Hum Mol Genet       Date:  2011-10-31       Impact factor: 6.150

2.  Preclinical data elucidate molecular and neural mechanisms of perinatal nicotine effects on neurodevelopment and behavior: translational opportunities and implications.

Authors:  Caryn Lerman
Journal:  Neuropsychopharmacology       Date:  2010-11       Impact factor: 7.853

3.  The genetic basis of addictive disorders.

Authors:  Francesca Ducci; David Goldman
Journal:  Psychiatr Clin North Am       Date:  2012-06

4.  Advanced Connectivity Analysis (ACA): a Large Scale Functional Connectivity Data Mining Environment.

Authors:  Rong Chen; Erika Nixon; Edward Herskovits
Journal:  Neuroinformatics       Date:  2016-04

5.  Effects of nicotine deprivation and replacement on BOLD-fMRI response to smoking cues as a function of DRD4 VNTR genotype.

Authors:  Xiaomeng Xu; Uraina S Clark; Sean P David; Richard C Mulligan; Valerie S Knopik; John McGeary; James MacKillop; Jeanne McCaffery; Raymond S Niaura; Lawrence H Sweet
Journal:  Nicotine Tob Res       Date:  2014-03-22       Impact factor: 4.244

Review 6.  Introduction to deep sequencing and its application to drug addiction research with a focus on rare variants.

Authors:  Shaolin Wang; Zhongli Yang; Jennie Z Ma; Thomas J Payne; Ming D Li
Journal:  Mol Neurobiol       Date:  2013-08-30       Impact factor: 5.590

7.  Recent advances in the genetic epidemiology and molecular genetics of substance use disorders.

Authors:  Kenneth S Kendler; Xiangning Chen; Danielle Dick; Hermine Maes; Nathan Gillespie; Michael C Neale; Brien Riley
Journal:  Nat Neurosci       Date:  2012-01-26       Impact factor: 24.884

Review 8.  Functional Neurocircuits and Neuroimaging Biomarkers of Tobacco Use Disorder.

Authors:  Matthew T Sutherland; Elliot A Stein
Journal:  Trends Mol Med       Date:  2018-02       Impact factor: 11.951

Review 9.  Biomarkers for smoking cessation.

Authors:  K J Bough; C Lerman; J E Rose; F J McClernon; P J Kenny; R F Tyndale; S P David; E A Stein; G R Uhl; D V Conti; C Green; S Amur
Journal:  Clin Pharmacol Ther       Date:  2013-03-18       Impact factor: 6.875

10.  Severity of dependence modulates smokers' functional connectivity in the reward circuit: a preliminary study.

Authors:  Zhujing Shen; Peiyu Huang; Wei Qian; Chao Wang; Hualiang Yu; Yihong Yang; Minming Zhang
Journal:  Psychopharmacology (Berl)       Date:  2016-03-09       Impact factor: 4.530

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