Literature DB >> 33153773

GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals.

Bao-Zhu Yang1, Iris M Balodis2, Hedy Kober3, Patrick D Worhunsky4, Cheryl M Lacadie5, Joel Gelernter6, Marc N Potenza7.   

Abstract

Impaired cognitive control has been implicated in cocaine use disorder (CUD). GABAergic treatments have been proposed for CUD. Here we examined relationships between GABAergic genes and neural correlates of cognitive control in CUD. We analyzed two independent African American cohorts: one of >3000 genomewide-genotyped subjects with substance dependence and another of 40 CUD and 22 healthy control (HC) subjects who were exome-array genotyped and completed an fMRI Stroop task. We used five association thresholds to select variants of GABAergic genes in the reference cohort, yielding five polygenic risk scores (i.e., CUD-GABA-PRSs) for the fMRI cohort. At p < 0.005, the CUD-GABA-PRSs, which aggregated relative risks of CUD from 89 variants harboring in 16 genes, differed between CUD and HC individuals in the fMRI sample (p = 0.013). This CUD-GABA-PRS correlated inversely with Stroop-related activity in the left precuneus in CUD (r = -80.58, pFWE < 0.05) but not HC participants. Post-hoc seed-based connectivity analysis of the left precuneus identified reduced functional connectivity to the posterior cingulate cortex (PCC) in CUD compared to HC subjects (p = 0.0062) and the degree of connectivity correlated with CUD-GABA-PRSs in CUD individuals (r = 0.287, p = 0.036). Our findings suggest that the GABAergic genetic risk of CUD in African Americans relates to precuneus/PCC functional connectivity during cognitive control. Identification of these GABAergic processes may be relevant targets in CUD treatment. The novel identification of 16 GABAergic genes may be investigated further to inform treatment development efforts for this condition that currently has no medication with a formal indication for its treatment.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Addictive behaviors; Cocaine use disorder; Cognitive control; GABA; Magnetic resonance imaging; Stroop; Substance-related disorder

Mesh:

Substances:

Year:  2020        PMID: 33153773      PMCID: PMC8299472          DOI: 10.1016/j.addbeh.2020.106695

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  65 in total

1.  Cannabis abstinence during treatment and one-year follow-up: relationship to neural activity in men.

Authors:  Hedy Kober; Elise E DeVito; Cameron M DeLeone; Kathleen M Carroll; Marc N Potenza
Journal:  Neuropsychopharmacology       Date:  2014-04-07       Impact factor: 7.853

2.  Posterior cingulate cortex: adapting behavior to a changing world.

Authors:  John M Pearson; Sarah R Heilbronner; David L Barack; Benjamin Y Hayden; Michael L Platt
Journal:  Trends Cogn Sci       Date:  2011-03-21       Impact factor: 20.229

3.  Heritability of brain activity related to response inhibition: A longitudinal genetic study in adolescent twins.

Authors:  Andrey P Anokhin; Simon Golosheykin; Julia D Grant; Andrew C Heath
Journal:  Int J Psychophysiol       Date:  2017-03-12       Impact factor: 2.997

4.  Developmental disruption of gamma-aminobutyric acid function in the medial prefrontal cortex by noncontingent cocaine exposure during early adolescence.

Authors:  Daryn K Cass; Daniel R Thomases; Adriana Caballero; Kuei Y Tseng
Journal:  Biol Psychiatry       Date:  2013-04-01       Impact factor: 13.382

5.  Resting GABA concentration predicts inhibitory control during an auditory Go-Nogo task.

Authors:  Chia-Hsiung Cheng; David M Niddam; Shih-Chieh Hsu; Chia-Yih Liu; Shang-Yueh Tsai
Journal:  Exp Brain Res       Date:  2017-10-09       Impact factor: 1.972

6.  fMRI Stroop and behavioral treatment for cocaine-dependence: Preliminary findings in methadone-maintained individuals.

Authors:  Elise E DeVito; Hedy Kober; Kathleen M Carroll; Marc N Potenza
Journal:  Addict Behav       Date:  2018-09-06       Impact factor: 3.913

Review 7.  On the utilization of polygenic risk scores for therapeutic targeting.

Authors:  Greg Gibson
Journal:  PLoS Genet       Date:  2019-04-25       Impact factor: 5.917

8.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.

Authors:  Shaun M Purcell; Naomi R Wray; Jennifer L Stone; Peter M Visscher; Michael C O'Donovan; Patrick F Sullivan; Pamela Sklar
Journal:  Nature       Date:  2009-07-01       Impact factor: 49.962

9.  Comparing GABA-dependent physiological measures of inhibition with proton magnetic resonance spectroscopy measurement of GABA using ultra-high-field MRI.

Authors:  Katherine Dyke; Sophia E Pépés; Chen Chen; Soyoung Kim; Hilmar P Sigurdsson; Amelia Draper; Masud Husain; Parashkev Nachev; Penelope A Gowland; Peter G Morris; Stephen R Jackson
Journal:  Neuroimage       Date:  2017-03-09       Impact factor: 6.556

Review 10.  The frontoparietal network: function, electrophysiology, and importance of individual precision mapping.

Authors:  Scott Marek; Nico U F Dosenbach
Journal:  Dialogues Clin Neurosci       Date:  2018-06       Impact factor: 5.986

View more
  1 in total

1.  Imbalanced sensitivities to primary and secondary rewards in internet gaming disorder.

Authors:  Wei-Ran Zhou; Min Wang; Hao-Hao Dong; Zhaojie Zhang; Xiaoxia Du; Marc N Potenza; Guang-Heng Dong
Journal:  J Behav Addict       Date:  2021-10-29       Impact factor: 6.756

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.