| Literature DB >> 34150338 |
Pradtana Tapanee1, Diane K Tidwell1, M Wes Schilling1, Daniel G Peterson2, Terezie Tolar-Peterson1.
Abstract
BACKGROUND: Different taste preferences correlated with genetic variations may lead to food consumption patterns that contribute to nutrient-related health outcomes such as hypertension.Entities:
Year: 2021 PMID: 34150338 PMCID: PMC8195666 DOI: 10.1155/2021/5559831
Source DB: PubMed Journal: Int J Hypertens Impact factor: 2.420
The probe sequences from 5′-3′ for the genotyped SNPs.
| SNPs number | Nucleotide sequences |
|---|---|
| rs239345-FAM probe | AGCTGTTCTTCCTTGCTTTGCTTCC |
| rs239345-VIC probe | AGCTGTTCTTCCTTGCTTTGCTTCC |
| rs3785368-FAM probe | AGATAGACAGATAGATAGCTAAAGA |
| rs3785368-VIC probe | AGATAGACAGATAGATAGCTAAAGA |
| rs8065080-FAM probe | GTGGAAAACCCGAACAAGAAGACGA |
| rs8065080-VIC probe | GTGGAAAACCCGAACAAGAAGACGA |
| rs4790522-FAM probe | TGTCCCAGTAGAGACTGACCATCCA |
| rs4790522-VIC probe | TGTCCCAGTAGAGACTGACCATCCA |
General characteristics of 253 adults with and without hypertension.
| Variables | Normotensive ( | Hypertensive ( |
|---|---|---|
| Mean age (years)a | 30.5 ± 11.0 | 52.5 ± 12.9 |
|
| ||
| Gender ( | ||
| (i) Female | 95 (74.2) | 87 (69.6) |
| (ii) Male | 33 (25.8) | 38 (30.4) |
|
| ||
| Weight (kg)a | 78.8 ± 23.8 | 94.5 ± 23.7 |
| Height (cm) | 167.2 ± 8.7 | 168.4 ± 9.6 |
| BMI (kg/m2)a | 28.1 ± 7.7 | 33.4 ± 8.3 |
|
| ||
| Highest educational graduation ( | ||
| (i) Less than high school degree | 1 (0.8) | 15 (12.1) |
| (ii) High school degree or equivalent | 15 (11.7) | 27 (21.8) |
| (iii) Some college but no degree | 35 (27.3) | 28 (22.6) |
| (iv) Associate degree | 14 (10.9) | 11 (8.9) |
| (v) Bachelor degree | 38 (29.7) | 23 (18.5) |
| (vi) Graduate degree | 25 (19.5) | 20 (16.1) |
|
| ||
| Systolic blood pressurea | 125.6 ± 15.9 | 145.2 ± 21.2 |
| Diastolic blood pressurea | 78.4 ± 11.0 | 89.0 ± 12.9 |
Data are presented as mean ± SD or n (%). aAge, weight, and BMI differences were determined using independent samples t-test with P < 0.001.
Demographic variables of 253 adults with and without hypertension.
| Variables | All ( | Normotensive ( | Hypertensive ( |
|
|---|---|---|---|---|
|
| 0.414a | |||
| Male | 71 (28.1) | 33 (25.8) | 38 (30.4) | |
| Female | 182 (71.9) | 95 (74.2) | 87 (69.6) | |
|
| ||||
|
| <0.001a | |||
| 20–50 age | 168 (66.4) | 118 (92.2) | 50 (40.0) | |
| 51 and older age | 85 (33.6) | 10 (7.8) | 75 (60.0) | |
|
| ||||
|
| <0.001c | |||
| Non-hispanic white | 107 (42.3) | 80 (62.5) | 27 (21.6) | |
| Black/African American | 128 (50.6) | 34 (26.6) | 94 (75.2) | |
| Asian | 14 (5.5) | 11 (8.6) | 3 (2.4) | |
| Hispanic/Latino | 4 (1.6) | 3 (2.3) | 1 (0.8) | |
|
| ||||
|
| <0.001c | |||
| Underweight | 9 (3.5) | 7 (5.5) | 2 (1.6) | |
| Normal | 70 (27.7) | 52 (40.6) | 18 (14.4) | |
| Overweight | 52 (20.6) | 25 (19.5) | 27 (21.6) | |
| Obese | 122 (48.2) | 44 (34.4) | 78 (62.4) | |
Data are presented as n (%). BMI category using criteria of CDC (Centers for Disease Control and Prevention, 2014) for healthy adults. aChi-squared test. bAge categories by a significant effect on salt taste sensitivity at 50 years or older [12]. cCramer's V test with P value <0.001.
Salt recognition thresholds across gender, age, race, and BMI within normotensive and hypertensive groups.
| Variables | Salt recognition thresholds (mol/L) |
|
|---|---|---|
| Normotensives | ||
|
| 0.361 | |
| Male | 0.0254 ± 0.020 | |
| Female | 0.0215 ± 0.020 | |
|
| ||
|
| 0.355 | |
| 20–50 age | 0.0220 ± 0.019 | |
| 51 and older age | 0.0284 ± 0.036 | |
|
| ||
|
| 0.636 | |
| Non-hispanic white | 0.0230 ± 0.019 | |
| Black/African American | 0.0222 ± 0.024 | |
| Asian | 0.0242 ± 0.022 | |
| Hispanic/Latino | 0.0073 ± 0.007 | |
|
| ||
|
| 0.798 | |
| Underweight | 0.0209 ± 0.011 | |
| Normal | 0.0237 ± 0.022 | |
| Overweight | 0.0190 ± 0.019 | |
| Obese | 0.0235 ± 0.020 | |
|
| ||
| Hypertensives | ||
|
| 0.599 | |
| Male | 0.0324 ± 0.023 | |
| Female | 0.0357 ± 0.034 | |
|
| ||
|
| 0.816 | |
| 20–50 age | 0.0355 ± 0.43 | |
| 51 and older age | 0.0341 ± 0.21 | |
|
| ||
|
| 0.338 | |
| Non-hispanic white | 0.0279 ± 0.023 | |
| Black/African American | 0.0374 ± 0.033 | |
| Asian | 0.0160 ± 0.014 | |
| Hispanic/Latino | 0.0160 ± 0.000 | |
|
| ||
|
| 0.289 | |
| Underweight | 0.0240 ± 0.011 | |
| Normal | 0.0244 ± 0.014 | |
| Overweight | 0.0308 ± 0.020 | |
| Obese | 0.0386 ± 0.037 | |
Data are presented as mean ± standard deviation. aStatistical differences were independent samples t-test. bAge categories by a significant effect on salt taste sensitivity at 50 years or older [12]. cStatistical differences were determined using one-way ANOVA.
Genotypes and allele distribution in normotensive and hypertensive groups.
| Gene | Variant | Genotype |
| MAF | HWE |
|---|---|---|---|---|---|
|
| |||||
|
| rs239345 | AA | 6 (4.7) | 0.24 | 0.537 |
| AT | 49 (38.3) | ||||
| TT | 73 (57.0) | ||||
| rs3785368 | AA | 4 (3.1) | 0.16 | 0.557 | |
| AG | 32 (25.0) | ||||
| GG | 92 (71.9) | ||||
|
| |||||
|
| rs8065080 | CC | 17 (13.3) | 0.32 | 0.153 |
| CT | 49 (38.3) | ||||
| TT | 62 (48.4) | ||||
| rs4790522 | AA | 23 (18.0) | 0.43 | 0.819 | |
| AC | 64 (50.0) | ||||
| CC | 41 (32.0) | ||||
|
| |||||
|
| |||||
|
| rs239345 | AA | 15 (12.0) | 0.35 | 0.957 |
| AT | 57 (45.6) | ||||
| TT | 53 (42.4) | ||||
| rs3785368 | AA | 3 (2.4) | 0.12 | 0.250 | |
| AG | 23 (18.4) | ||||
| GG | 99 (79.2) | ||||
|
| |||||
|
| rs8065080 | CC | 9 (7.2) | 0.22 | 0.094 |
| CT | 36 (28.8) | ||||
| TT | 80 (64.0) | ||||
| rs4790522 | AA | 30 (24.0) | 0.49 | 0.926 | |
| AC | 63 (50.4) | ||||
| CC | 32 (25.6) | ||||
HWE: Hardy–Weinberg Equilibrium, MAF: minor allele frequency. aChi-square test.
Variables associated with salt recognition thresholds among normotensive and hypertensive groups using the multiple linear regression model.
| Predictors | Normotensive group | Hypertensive group | ||||
|---|---|---|---|---|---|---|
|
| Beta |
|
| Beta |
| |
| Age | 0.000 | 0.254 | 0.004 | — | — | — |
| BMI | — | — | — | 0.001 | 0.208 | 0.017 |
| rs4790522 | — | — | — | 0.010 | 0.235 | 0.007 |
aStatistical significance was determined using stepwise multiple linear regression analyses, P < 0.05.
Figure 1Salt taste recognition thresholds adjusted for BMI status and TRPV1 genotypes for rs4790522 within the hypertensive group. Statistical differences were determined using One-way ANOVA, post hoc test (P value <0.05). (a) Salt taste recognition threshold and TRPV1 genotype for rs4790522 in normal weight group. (b) Salt taste recognition threshold and TRPV1 genotype for rs4790522 in overweight/obese group.