Association between Variants of the TRPV1 Gene and Body Composition in Sub-Saharan Africans.
Maddalena GiannìMarco AntinucciStefania BertonciniLuca TaglioliCristina GiulianiDonata LuiselliDavide RissoElisabetta MariniGabriella MoriniSergio TofanelliPublished in: Genes (2024)
In humans, the transient receptor potential vanilloid 1 ( TRPV1 ) gene is activated by exogenous (e.g., high temperatures, irritating compounds such as capsaicin) and endogenous (e.g., endocannabinoids, inflammatory factors, fatty acid metabolites, low pH) stimuli. It has been shown to be involved in several processes including nociception, thermosensation, and energy homeostasis. In this study, we investigated the association between TRPV1 gene variants, sensory perception (to capsaicin and PROP), and body composition (BMI and bioimpedance variables) in human populations. By comparing sequences deposited in worldwide databases, we identified two haplotype blocks (herein referred to as H1 and H2) that show strong stabilizing selection signals (MAF approaching 0.50, Tajima's D > +4.5) only in individuals with sub-Saharan African ancestry. We therefore studied the genetic variants of these two regions in 46 volunteers of sub-Saharan descent and 45 Italian volunteers (both sexes). Linear regression analyses showed significant associations between TRPV1 diplotypes and body composition, but not with capsaicin perception. Specifically, in African women carrying the H1-b and H2-b haplotypes, a higher percentage of fat mass and lower extracellular fluid retention was observed, whereas no significant association was found in men. Our results suggest the possible action of sex-driven balancing selection at the non-coding sequences of the TRPV1 gene, with adaptive effects on water balance and lipid deposition.
Keyphrases
- body composition
- copy number
- resistance training
- bone mineral density
- fatty acid
- genome wide
- neuropathic pain
- endothelial cells
- gene expression
- type diabetes
- adipose tissue
- machine learning
- spinal cord injury
- spinal cord
- dna methylation
- atomic force microscopy
- skeletal muscle
- induced pluripotent stem cells
- cerebral ischemia
- risk assessment
- transcription factor
- high intensity
- weight loss
- high resolution
- middle aged
- deep learning