Genetic Variations of AKT1 are Associated with Risk Screening for Non-Alcoholic Fatty Liver Disease
Yajie Ding1, Zongzhe Tang1, Ru Zhang1
1Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China.
Risk Management and Healthcare Policy
|August 1, 2023
Summary
Single nucleotide polymorphisms (SNPs) in the AKT1 gene, specifically rs2494732 and rs2494752, are associated with a reduced risk of non-alcoholic fatty liver disease (NAFLD). These findings suggest AKT1 SNPs could aid in early screening for NAFLD susceptibility.
Area of Science:
- Genetics and Molecular Biology
- Metabolic Diseases
- Hepatology
Background:
- Protein kinase B (PKB/AKT) pathway is crucial in metabolic disease research.
- Non-alcoholic fatty liver disease (NAFLD) is a growing health concern.
- Understanding genetic predispositions to NAFLD is essential for early intervention.
Purpose of the Study:
- To investigate the association between single nucleotide polymorphisms (SNPs) in the AKT1 gene and the risk of developing NAFLD.
- To identify specific AKT1 SNPs that may influence NAFLD susceptibility.
- To evaluate the predictive value of AKT1 SNPs in combination with clinical factors for NAFLD risk.
Main Methods:
- A case-control study involving 2693 participants (815 NAFLD, 1878 controls).
- Genotyping of three AKT1 SNPs: rs2494732, rs2494752, and rs1130233.
- Logistic regression analysis was employed to assess the correlation between SNPs and NAFLD risk, adjusting for relevant clinical variables.
Main Results:
- The AKT1 rs2494732-C and rs2494752-G variants were significantly associated with a lower risk of NAFLD.
- A combined analysis of these two SNPs demonstrated a statistically significant, dose-dependent protective effect against NAFLD.
- A prediction model incorporating these SNPs and clinical factors showed good discriminatory ability (AUC = 0.779), though calibration was suboptimal.
Conclusions:
- Specific AKT1 SNPs (rs2494732 and rs2494752) may play a role in the susceptibility to NAFLD in the Chinese population.
- The developed prediction model, integrating genetic and clinical data, shows promise for identifying individuals at high risk for NAFLD.
- These genetic markers offer potential for novel strategies in the early screening and prevention of NAFLD.


