Literature DB >> 22943795

Interactive effects of chronic cigarette smoking and age on brain volumes in controls and alcohol-dependent individuals in early abstinence.

Timothy C Durazzo1, Anderson Mon, David Pennington, Christoph Abé, Stefan Gazdzinski, Dieter J Meyerhoff.   

Abstract

Chronic alcohol-use disorders (AUDs) have been shown to interact with normal age-related volume loss to exacerbate brain atrophy with increasing age. However, chronic cigarette smoking, a highly co-morbid condition in AUD and its influence on age-related brain atrophy have not been evaluated. We performed 1.5 T quantitative magnetic resonance imaging in non-smoking controls [non-smoking light drinking controls (nsCONs); n = 54], smoking light drinking controls (sCONs, n = 34), and one-week abstinent, treatment-seeking alcohol-dependent (ALC) non-smokers (nsALCs, n = 35) and smokers (sALCs, n = 43), to evaluate the independent and interactive effects of alcohol dependence and chronic smoking on regional cortical and subcortical brain volumes, emphasizing the brain reward/executive oversight system (BREOS). The nsCONs and sALCs showed greater age-related volume losses than the nsALCs in the dorsal prefrontal cortex (DPFC), total cortical BREOS, superior parietal lobule and putamen. The nsALCs and sALCs demonstrated smaller volumes than the nsCONs in most cortical region of interests (ROIs). The sCONs had smaller volumes than the nsCONs in the DPFC, insula, inferior parietal lobule, temporal pole/parahippocampal region and all global cortical measures. The nsALCs and sALCs had smaller volumes than the sCONs in the DPFC, superior temporal gyrus, inferior and superior parietal lobules, precuneus and all global cortical measures. Volume differences between the nsALCs and sALCs were observed only in the putamen. Alcohol consumption measures were not related to volumes in any ROI for ALC; smoking severity measures were related to corpus callosum volume in the sCONs and sALCs. The findings indicate that consideration of smoking status is necessary for a better understanding of the factors contributing to regional brain atrophy in AUD.
© 2012 The Authors, Addiction Biology © 2012 Society for the Study of Addiction.

Entities:  

Keywords:  Alcohol dependence; brain reward system; brain volume; cigarette smoking; magnetic resonance imaging

Mesh:

Year:  2012        PMID: 22943795      PMCID: PMC3528793          DOI: 10.1111/j.1369-1600.2012.00492.x

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  48 in total

1.  Chronic cigarette smoking in alcohol dependence: associations with cortical thickness and N-acetylaspartate levels in the extended brain reward system.

Authors:  Timothy C Durazzo; Anderson Mon; Stefan Gazdzinski; Dieter J Meyerhoff
Journal:  Addict Biol       Date:  2011-11-09       Impact factor: 4.280

2.  Differences between smokers and non-smokers in regional gray matter volumes: a voxel-based morphometry study.

Authors:  Yanhui Liao; Jinsong Tang; Tieqiao Liu; Xiaogang Chen; Wei Hao
Journal:  Addict Biol       Date:  2010-08-23       Impact factor: 4.280

3.  Smoking and structural brain deficits: a volumetric MR investigation.

Authors:  Jürgen Gallinat; Eva Meisenzahl; Leslie K Jacobsen; Peter Kalus; Jeffrey Bierbrauer; Thorsten Kienast; Henning Witthaus; Karolina Leopold; Frank Seifert; Florian Schubert; Mario Staedtgen
Journal:  Eur J Neurosci       Date:  2006-09       Impact factor: 3.386

4.  Drug addiction: the neurobiology of disrupted self-control.

Authors:  Ruben D Baler; Nora D Volkow
Journal:  Trends Mol Med       Date:  2006-10-27       Impact factor: 11.951

5.  Relationships among aging, IQ, and intracranial volume in alcoholics and control subjects.

Authors:  Michele A Schottenbauer; Reza Momenan; Michael Kerick; Daniel W Hommer
Journal:  Neuropsychology       Date:  2007-05       Impact factor: 3.295

Review 6.  Neurobiological and neurocognitive effects of chronic cigarette smoking and alcoholism.

Authors:  Timothy C Durazzo; Dieter J Meyerhoff
Journal:  Front Biosci       Date:  2007-05-01

7.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

8.  Quantitative brain MRI in alcohol dependence: preliminary evidence for effects of concurrent chronic cigarette smoking on regional brain volumes.

Authors:  S Gazdzinski; T C Durazzo; C Studholme; E Song; P Banys; D J Meyerhoff
Journal:  Alcohol Clin Exp Res       Date:  2005-08       Impact factor: 3.455

9.  Smoking is associated with reduced cortical regional gray matter density in brain regions associated with incipient Alzheimer disease.

Authors:  Osvaldo P Almeida; Griselda J Garrido; Nicola T Lautenschlager; Gary K Hulse; Konrad Jamrozik; Leon Flicker
Journal:  Am J Geriatr Psychiatry       Date:  2008-01       Impact factor: 4.105

10.  Greater regional brain atrophy rate in healthy elderly subjects with a history of cigarette smoking.

Authors:  Timothy C Durazzo; Philip S Insel; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2012-11       Impact factor: 21.566

View more
  30 in total

1.  Interaction of Cigarette Smoking History With APOE Genotype and Age on Amyloid Level, Glucose Metabolism, and Neurocognition in Cognitively Normal Elders.

Authors:  Timothy C Durazzo; Niklas Mattsson; Michael W Weiner
Journal:  Nicotine Tob Res       Date:  2015-04-06       Impact factor: 4.244

Review 2.  Revisiting the role of the insula in addiction.

Authors:  Vita Droutman; Stephen J Read; Antoine Bechara
Journal:  Trends Cogn Sci       Date:  2015-06-08       Impact factor: 20.229

3.  Chronic Cigarette Smoking in Healthy Middle-Aged Individuals Is Associated With Decreased Regional Brain N-acetylaspartate and Glutamate Levels.

Authors:  Timothy C Durazzo; Dieter J Meyerhoff; Anderson Mon; Christoph Abé; Stefan Gazdzinski; Donna E Murray
Journal:  Biol Psychiatry       Date:  2015-04-09       Impact factor: 13.382

4.  Chronic alcohol consumption and its effect on nodes of frontocerebellar and limbic circuitry: comparison of effects in France and the United States.

Authors:  Anne-Pascale Le Berre; Anne-Lise Pitel; Sandra Chanraud; Hélène Beaunieux; Francis Eustache; Jean-Luc Martinot; Michel Reynaud; Catherine Martelli; Torsten Rohlfing; Edith V Sullivan; Adolf Pfefferbaum
Journal:  Hum Brain Mapp       Date:  2014-03-17       Impact factor: 5.038

5.  Effects of cigarette smoking and alcohol use on neurocognition and BDNF levels in a Chinese population.

Authors:  Xiang Yang Zhang; Yun-Long Tan; Da-Chun Chen; Shu-Ping Tan; Fu-De Yang; Giovana B Zunta-Soares; Jair C Soares
Journal:  Psychopharmacology (Berl)       Date:  2015-10-30       Impact factor: 4.530

Review 6.  Smoking and increased Alzheimer's disease risk: a review of potential mechanisms.

Authors:  Timothy C Durazzo; Niklas Mattsson; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2014-06       Impact factor: 21.566

Review 7.  Brain-behavior relations and effects of aging and common comorbidities in alcohol use disorder: A review.

Authors:  Edith V Sullivan; Adolf Pfefferbaum
Journal:  Neuropsychology       Date:  2019-09       Impact factor: 3.295

8.  Regional cerebral blood flow in opiate dependence relates to substance use and neuropsychological performance.

Authors:  Donna E Murray; Timothy C Durazzo; Thomas P Schmidt; Troy A Murray; Christoph Abé; Joseph Guydish; Dieter J Meyerhoff
Journal:  Addict Biol       Date:  2017-06-19       Impact factor: 4.280

9.  White matter microstructural correlates of relapse in alcohol dependence.

Authors:  Yukai Zou; Donna E Murray; Timothy C Durazzo; Thomas P Schmidt; Troy A Murray; Dieter J Meyerhoff
Journal:  Psychiatry Res Neuroimaging       Date:  2018-09-18       Impact factor: 2.376

10.  The NSW brain tissue resource centre: Banking for alcohol and major neuropsychiatric disorders research.

Authors:  G T Sutherland; D Sheedy; J Stevens; T McCrossin; C C Smith; M van Roijen; J J Kril
Journal:  Alcohol       Date:  2016-03-14       Impact factor: 2.405

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.