Genetic Variations in AMPK, FOXO3A, and POMC Increase the Risk of Extreme Obesity
- PMID: 39484290
- PMCID: PMC11527528
- DOI: 10.1155/2024/3813621
Genetic Variations in AMPK, FOXO3A, and POMC Increase the Risk of Extreme Obesity
Abstract
Objective: Genetic variability significantly impacts metabolism, weight gain, and feeding behaviors, predisposing individuals to obesity. This study explored how variations in key genes related to obesity-FOXO3A (forkhead box O3), AMPK (protein kinase AMP-activated), and POMC (proopiomelanocortin)-are associated with extreme obesity (EOB). Methods: We conducted a case-control study with 251 EOB patients and 212 healthy controls with a body mass index (BMI) of less than 25 kg/m2. We genotyped 10 single nucleotide variants (SNVs) using TaqMan-based assays. Results: Four SNVs-rs1536057 in FOXO3A, rs103685 in AMPK, rs934778, and rs6545975 in POMC-were associated with an increased risk of EOB. The strongest association was observed with rs934778 (POMC), which had a maximum odds ratio (OR) of 5.26 (95% CI: 2.86-9.09). While these genetic variations are closely linked to EOB, they do not affect serum glucose, triglycerides, HDL, LDL, BMI, or waist circumference. Conclusions: These findings indicate that factors beyond traditional metabolic pathways, potentially related to feeding behavior or hormonal regulation, may also link these genetic variations to obesity. Further research in a larger sample is essential to validate these findings and explore their potential to guide clinical interventions and public health strategies.
Keywords: AMPK; FOXO3A; POMC; extreme obesity; single nucleotide variants.
Copyright © 2024 Cinthia Vila Nova Santana et al.
Conflict of interest statement
The authors declare no conflicts of interest.
Figures
References
-
- Lobstein T., Jackson-Leach R., Powis J., Brinsden H., Gray M. World Obesity Atlas 2023. 2024. https://www.worldobesity.org/resources/resource-library/world-obesity-at... .
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Molecular Biology Databases
Research Materials
Miscellaneous
