| Literature DB >> 30166928 |
Ezgi Öztaş1, Alejandro Parejo Garcia-Saavedra1, Fatih Yanar2, Beyza Özçinar2, Nihat Aksakal2, Sevim Purisa3, Gül Özhan1.
Abstract
OBJECTIVES: P-glycoprotein (P-gp) contributes to the disposition of a wide variety of drugs; therefore, single nucleotide polymorphisms (SNPs) in the P-gp coding gene might affect its activity. It is well known that personalized medicine, instead of empirical treatment, is a clinically important approach for enhancing responses among patients. Indeed, there is a need to evaluate the association between SNPs of P-gp encoded multidrug resistance genes (MDR1, ABCB1), and the dosage requirements of these drugs. In the present study, we evaluated the association between the dosage of Levothyroxine (L-T4) and three common SNPs (C1236T, G2677T/A and C3435T).Entities:
Keywords: Hypothyroidism; Levothyroxine; MDR1 polymorphisms; P-glycoprotein
Year: 2017 PMID: 30166928 PMCID: PMC6111188 DOI: 10.1016/j.jsps.2017.11.012
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.330
Carousel-Based System PCR program setup.
| Program name | Cycles | Analysis mode | Target (°C) | Acquisition mode | Hold (sec) |
|---|---|---|---|---|---|
| Pre-Incubation | 1 | None | 95 | None | 600 |
| Amplification | 45 | Quantification | 95 | None | 10 |
| 60 | Single | 10 | |||
| 72 | None | 15 | |||
| Melting Curve | 1 | Melting Curve | 95 | None | 30 |
| 40 | None | 120 | |||
| 75 | Continuous | – | |||
| Cooling | 1 | None | 40 | None | 30 |
Genotype distribution and features of studied SNPs.
| SNP | Amino acid change | Variant allele | Genotype | n (%) | MAF | HWE |
|---|---|---|---|---|---|---|
| C1236T | Gly412Gly | T | CC | 25 (27.8) | 0.48 | 0.04 |
| CT | 41 (45.6) | |||||
| TT | 22 (24.4) | |||||
| G2677T/A | Ser893Ala/Thr | T/A | GG | 10 (11.1) | 0.51 | <0.01 |
| AG | 13 (14.4) | |||||
| TG | 40 (44.4) | |||||
| TT | 24 (26.7) | |||||
| C3435T | Ile1145Ile | T | CC | 22 (24.4) | 0.51 | 0.02 |
| CT | 45 (50.0) | |||||
| TT | 23 (25.6) | |||||
MAF, Minor allele frequency; HWE, Hardy-Weinberg equilibrium.
Clinical and biochemical characteristics of the patients.
| Variable | Median (Range) |
|---|---|
| Age | 51.35 (21–76) |
| BMI (kg/m2) | 29.06 (19.72–38.58) |
| Gender | |
| Female (n, %) | 75 (83.3%) |
| Male (n, %) | 15 (16.7%) |
| L-T4 (mcg/day) | 118.02 (50–250) |
| TSH (mIU/L) | 0.96 (0.01–12.20) |
| fT3 (pmol/L) | 4.95 (0.80–22.07) |
| fT4 (pmol/L) | 19.54 (2.20–29.11) |
Fig. 1L-T4 dose distribution among genotypes. Red lines represent median L-T4 doses (µg/day) and values were shown as median (range) above the related columns. n, number of patients.
Effects of genotypes on L-T4 doses.
| SNP | Genotype | B | SE | OR (95% CI) | |
|---|---|---|---|---|---|
| C1236T | CC vs. CT + TT | −0.011 | 0.009 | 0.989 (0.972–1.006) | 0.21 |
| G2677T/A | GG vs. others | 0.010 | 0.015 | 1.01 (0.982–1.039) | 0.49 |
| C3435T | CC vs. CT + TT | −0.016 | 0.009 | 0.984 (0.967–1.002) | 0.08 |
B, Coefficient for the constant; SE, Standard error; OR, Odds ratio; CI, Confidence interval.
Fig. 2MDR1 haplotypes and frequencies based on C1236T/G2677T/C3435T genotypes identified by PHASE algorithm.