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Genetic variation in the epithelial sodium channel (ENaC) and salt taste perception in humans
Author(s) -
Dias Andre Gautam,
El-Sohemy Ahmed
Publication year - 2012
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.26.1_supplement.649.7
Subject(s) - single nucleotide polymorphism , taste , epithelial sodium channel , allele , snp , genotype , genetics , genetic variation , taste receptor , gene , biology , sodium , food science , chemistry , organic chemistry
Despite individual differences in salt taste sensitivity no studies have identified variations in genes that explain this variability. Our objective was to determine whether single nucleotide polymorphisms (SNPs) in the epithelial sodium channel (ENaC), a putative salt taste receptor with 3 subunits, modifies salt (NaCl) taste in men (n=28) and women (n=67) aged 20–35 yrs. Taste thresholds (TT) were determined using a 3 alternative forced choice staircase model with solutions ranging from 9 ×10 −6 to 0.5 mol/L. Suprathreshold taste sensitivity (STT) to 5 solutions (0.01–1 mol/L) was assessed using a general Labeled Magnitude Scale. Genotypes were extracted from an Affymetrix 6.0 chip (5 SNPs in SCNN1A; 34 SNPs in SCNN1B; 13 SNPs in SCNN1G ). A general linear model was used to compute differences between genotypes. No SNPs in the SCNN1A or SCNN1G genes modified salt taste. In the SCNN1B gene the rs9939129 (C>T) SNP modified TT (mmol/L ± SE) where carriers of the T allele detected significantly lower NaCl concentrations than CC homozygotes (2.33±0.76 vs 3.85±0.37, p=0.02). The rs239345 (A>T) SNP in this gene modified STT (iAUC ± SE) were those homozygous for the A allele perceived salt solutions less intensely than carriers of the T allele (70.82±12.16 vs. 96.95±3.75, p=0.02). Our findings indicate that variation in the SCNN1B gene modifies salt taste perception in humans. Grant Funding Source : The Advanced Food and Materials Network