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RETN Gene Polymorphisms Interact with Alcohol Dependence in Association with Depression

Overview
Journal J Clin Lab Anal
Publisher Wiley
Date 2023 Jun 30
PMID 37387262
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Abstract

Background: Previous studies suggest that alcohol dependence is associated with increased risk of depression. The occurrence of depressive symptoms is related to polymorphisms in various genetic regions. This study aimed to investigate the interaction of RETN gene polymorphisms (rs1477341, rs3745368) with alcohol dependence on depressive symptoms in adult male during acute alcohol withdrawal.

Methods: A total of 429 male adults were recruited in this study. Alcohol dependence was assessed using the Michigan alcoholism screening test (MAST). Depression was assessed using the 20-item self-rating depression scale (SDS). Hierarchical regression analysis was used to evaluate the interaction between genes and alcohol dependence on depression. Region of significance (ROS) test was used to explain the interaction effect. The strong and weak forms of the differential susceptibility and diathesis models were used to determine which fits the data better.

Results: Our results showed that MAST scores were significantly positively associated with SDS scores (r = 0.23, p < 0.01) in alcohol-dependent patients during alcohol withdrawal. The interaction between genotype and alcohol dependence was significant (β = -0.14, p < 0.05) in a strong diathesis-stress model. Susceptibility for depression symptoms was associated with alcohol dependence in RETN rs1477341 A carriers. Specifically, those that showed more alcohol dependence and the A allele of RETN rs1477341 exhibited more depression symptoms. However, RETN rs3745368 had no significant interaction with alcohol dependence.

Conclusions: The A allele of RETN rs1477341 may correlate with susceptibility to depression symptoms in alcohol-dependent individuals during acute alcohol withdrawal.

Citing Articles

RETN gene polymorphisms interact with alcohol dependence in association with depression.

Xu X, Xu Z, Zhou F, Chen L, Li H, Niculescu M J Clin Lab Anal. 2023; 37(11-12):e24933.

PMID: 37387262 PMC: 10431411. DOI: 10.1002/jcla.24933.

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