» Articles » PMID: 24407958

Risky Alcohol Consumption in Young People is Associated with the Fatty Acid Amide Hydrolase Gene Polymorphism C385A and Affective Rating of Drug Pictures

Overview
Specialty Genetics
Date 2014 Jan 11
PMID 24407958
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Drug addiction is a complex disease with overlapping stages and influenced by multiple environmental and genetic factors. In addition to neurobiological changes, repeated drug exposure modulates affective responses to drug stimuli including visual cues. Here, we made a preliminary screening among ten Single Nucleotide Polymorphisms (SNP) of the CNR1 (rs806368, rs1049353, rs6454674, rs7766029), FAAH (rs324420, rs12075550), DRD2 (rs6277), ANKK1 (rs1800497), COMT (rs4680), and OPRM1 (rs1799971) genes to identify that SNPs that were more directly associated with alcohol, tobacco and/or cannabis consumption in young individuals (n = 91). Also, affective rating for alcohol-, tobacco- and cannabis-related pictures was examined in each individual. Our results make it possible to select the rs324420 SNP (C385A) of the FAAH gene for further analysis. Increasing the sample size up to n = 185 we found that the homozygous CC C385A SNP genotype was associated with risky alcohol use (p = 0.006, odds ratio 2.38). Subsequently, we replicated this genetic association with risky alcohol use using another independent sample. Risky drinkers (mean 166.8 g pure alcohol) and smokers (more than 15 cigarettes) rated drug pictures more positively (p < 0.001) and they showed a strong positive correlation with drug use during weekends, which is the period in which the first problematic experiences with alcohol and other drugs appear (initial stages of the drug addiction process). As conclusion, because drug addiction is a multi-step process and a preventable disease, our results indicate that the FAAH C385A SNP is one of the most promising candidates for individuals who are at higher risk for alcohol problems.

Citing Articles

Peripheral endocannabinoids in major depressive disorder and alcohol use disorder: a systematic review.

Fuentes J, Mayans J, Guarro M, Canosa I, Mestre-Pinto J, Fonseca F BMC Psychiatry. 2024; 24(1):551.

PMID: 39118031 PMC: 11308641. DOI: 10.1186/s12888-024-05986-8.


rs324420 Polymorphism: Biological Pathways, Impact on Elite Athletic Performance and Insights for Sport Medicine.

Silva H, Tavares V, Neto B, Cerqueira F, Medeiros R, Silva M Genes (Basel). 2023; 14(10).

PMID: 37895295 PMC: 10606937. DOI: 10.3390/genes14101946.


Functional Variation in the Gene Is Directly Associated with Subjective Well-Being and Indirectly Associated with Problematic Alcohol Use.

Bornscheuer L, Lundin A, Forsell Y, Lavebratt C, Melas P Genes (Basel). 2023; 14(9).

PMID: 37761966 PMC: 10530831. DOI: 10.3390/genes14091826.


Cannabinoids and Multiple Sclerosis: A Critical Analysis of Therapeutic Potentials and Safety Concerns.

Nouh R, Kamal A, Abdelnaser A Pharmaceutics. 2023; 15(4).

PMID: 37111637 PMC: 10146800. DOI: 10.3390/pharmaceutics15041151.


Catechol-O-Methyltransferase Effects on Smoking: A Review and Proof of Concept of Sex-Sensitive Effects.

DeVito E, Sofuoglu M Curr Behav Neurosci Rep. 2023; 9(4):113-123.

PMID: 36644316 PMC: 9838826. DOI: 10.1007/s40473-022-00251-2.


References
1.
Wiers R, Beckers L, Houben K, Hofmann W . A short fuse after alcohol: implicit power associations predict aggressiveness after alcohol consumption in young heavy drinkers with limited executive control. Pharmacol Biochem Behav. 2009; 93(3):300-5. DOI: 10.1016/j.pbb.2009.02.003. View

2.
Hariri A, Gorka A, Hyde L, Kimak M, Halder I, Ducci F . Divergent effects of genetic variation in endocannabinoid signaling on human threat- and reward-related brain function. Biol Psychiatry. 2008; 66(1):9-16. PMC: 3215587. DOI: 10.1016/j.biopsych.2008.10.047. View

3.
Mandyam C, Koob G . The addicted brain craves new neurons: putative role for adult-born progenitors in promoting recovery. Trends Neurosci. 2012; 35(4):250-60. PMC: 3321119. DOI: 10.1016/j.tins.2011.12.005. View

4.
Ramirez R, Hinman A, Sterling S, Weisner C, Campbell C . Peer influences on adolescent alcohol and other drug use outcomes. J Nurs Scholarsh. 2012; 44(1):36-44. PMC: 3287367. DOI: 10.1111/j.1547-5069.2011.01437.x. View

5.
Maggs J, Williams L, Lee C . Ups and downs of alcohol use among first-year college students: Number of drinks, heavy drinking, and stumble and pass out drinking days. Addict Behav. 2010; 36(3):197-202. PMC: 3018543. DOI: 10.1016/j.addbeh.2010.10.005. View