Literature DB >> 27981034

Common variation of the CYP17 gene in Iraqi women with endometriosis disease.

Salwa H N Al-Rubae'i1, Tamara Sami Naji1, Kisma M Turki2.   

Abstract

Common variants among genes coding for enzymes in sex steroid biosynthetic pathways may influence the risk of endometriosis in Iraqi women patients in the last years. Cytochrome P450c17a1 (CYP17), a gene that codes for a key enzyme (cytochrome P450c17a1) in a rate-limiting step of estrogen biosynthesis has attracted considerable attention as an important gene for endometriosis. To evaluate the relationship between common genetic variations in CYP17 and endometriosis risk and determine the main effects of those variations on the gene expression. A women-based case control study of Iraqi women aged range (23-46), the associations between selected single-nucleotide polymorphisms (SNPs) in the CYP17 gene and endometriosis diagnosis in fifty women and thirty disease-free controls were evaluated. The study found a significant association (P ≤ 0.01)between endometriosis and selected SNPs of CYP17 gene, with the homozygous genotype conferring decreased risk. A highly significant difference (P ≤ 0.01) in CYP17 gene expression from women with versus without endometriosis and increased by 1.56-fold in women with endometriosis. These findings suggest that variation in or around CYP17 may be associated with endometriosis development in the Iraqi women.

Entities:  

Keywords:  CYP17; DNA sequence analysis; Endometriosis; Polymorphism and gene expression; RNA extraction by qRT-PCR

Year:  2016        PMID: 27981034      PMCID: PMC5144748          DOI: 10.1016/j.gdata.2016.11.019

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Introduction

A common and painful condition of the female reproductive system and influences female health negatively by causing abdominopelvic pain and infertility is endometriosis [1]. It affects about 10% of women of reproductive age. Nearly two-thirds of adolescents with dysmenorrhea or chronic pelvic pain have laparoscopic evidence of endometriosis. The most widely accepted theory is the retrograde reflux hypothesis, which suggests that endometrial tissues can regurgitate into pelvic cavity during menstruation and develop into endometriosis [2]. Endometriosis is a complex disease arising from the interplay between multiple genetic and environmental factors. The genetic variants potentially underlying the hereditary component of endometriosis were widely investigated through hypothesis-driven candidate gene studies, an approach that generally was proven to be inherently difficult and problematic for a number of reasons [3]. CYP17A1 gene encodes a member of the cytochrome P450 superfamily of enzymes. It has eight coding exons, which is located on chromosome 10q24.3 and spanning 6569 base pair (bp) and encodes cytochrome p450c17α (CYP17A1), an enzyme which catalyzes the activity of both the 17α-hydroxylase and the 17,20-lyase. These two enzymes play critical roles in two sequential rate-limiting steps in the biosynthesis of testosterone [4]. Genetic variation in CYP17A1 was associated with steroid hormone levels, menstrual factors and risk of endometrial, breast and prostate cancers [5]. The allele variant T/C at the − 34 bp position relative to the start codon in the 5′-UTR promoter region of CYP17A1 rs743572 was associated with an increased risk of endometriosis [6]. Genotyped G/T and C/T of exon 1 (rs6162) and (rs6163) were a highly correlated with (rs743572), the minor allele of (rs6163) was associated with a modest increase in levels of plasma androstenedione in premenopausal women [7], [8]. Genetic studies of CYP17A1 variants to date have followed a defined biological hypothesis suggesting the 5′UTR promoter region (rs743572) is associated with gene expression [9]. To study further a possible role of CYP17A1 in endometriosis, we evaluated the risk of endometriosis in relation to common genetic variation of CYP17A1 and determine the main effects of those variations on the gene expression in a population based case control study conducted in Iraqi women with endometriosis.

Materials and methods

Study population

The present investigation was carried out at Kamal AL-Samarai Hospital between (January–July 2015), in Baghdad, Iraq. The data were collected from fifty women patients as referred by a Gynecologist for endometriosis investigation. A total of thirty healthy female volunteers served as controls, aged (23–46) years. Blood samples (3 mL) were placed into containing EDTA tubes, and stored at − 20 °C until assayed for genotyping analysis (DNA & RNA extraction) and using conventional-PCR and qRT-PCR technique.

Genetic analysis (gene polymorphisms)

The Genomic DNA Mini Kit supplied by Geneaid-Taiwan provides an efficient method for purifying total DNA from whole fresh blood. Also Magnesia 16 Genomic DNA whole blood Kit was designed for automated extraction by using automated instrument of Magnesia 16 of Anatolia (Turkey). DNA concentration was measured by nano-spectrophotomoter (Quawell-USA). DNA amplification was carried with a KAPA2G Robust HotStart PCR Kit which contains an engineered DNA polymerase and uniquely-formulated buffers, and requires specialized reaction conditions. Each reaction contained 12.5 μL (1 ×) master mix, 1.5 μL (10 μM) each primer (Table 1), primers were designed for CYP17 gene from GenBank (NCBI reference sequence NM-000102.3), Template DNA 3 μL (50 ng/μL), 6.5 μL deionized distilled-water (dd-water). An initial denaturation step was run at 94 °C for 3 min, followed by 30 cycles of amplification with denaturation at 94 °C for 20 s, annealing at 59 °C for 30 s, extension at 72 °C for 30 s and final extension at 72 °C for 10 min. Amplified PCR products were detected by agarose gel electrophoresis. A DNA marker 100 bp (Promega/USA) was run with each gel, and the genotype was determined by direct sequencing as well as for detecting SNPs within these sequences. Our sequences were compared with reference sequence of CYP17 in NCBI GenBank.
Table 1

Primers used for gene analysis.

GenePrimer sequences(5′-3′)Size (base pair)
CYP17F-GGAGAATCTTTCCACAAGGCAAGR-TGGTGGCCGACAATCACTGTAG366
GAPDHF-ATCACTGCCACCCAGAAGACTGR-AGGTTTTTCTAGACGGCAGGTCAG216

F: Forward primer, R: Reverse primer.

DNA sequence analysis

The DNA fragments for sequencing were obtained by PCR amplification, the fragments of each PCR products were sequenced with the set of primers by Macrogen Company, Korea. The program (BioEdit) was used for bioinformatic analysis of nucleotide sequences.

Gene expression (RNA extraction and one-step real time–PCR protocol)

Total RNA purification from white blood cells of 0.4 mL human whole blood was used with automated instrument Magnesia 16 of Anatolia (Turkey).RNA concentration was measured by nano-spectrophotomoter (Quawell-USA). Quantitative PCR was performed using an Agilent Technologies PCR 8800 supercycle-USA. The KAPA SYBR*FAST One-Step qRT-PCR kit was used for real-time PCR using RNA as template. A suitable amount of RNA tamplet 6 μL (100 ng/μL) mixed with 0.5 μL (0.2 μM) of each primer, (10 μL) of KAPA SYBR* FASTqPCR Master mix, dNTP 0.5 μL (200 nM), KAPA RT Mix 1 μL and 1.5 μL of double distilled-water. The reaction after brief spin was submitted to the following PCR condition: cDNA synthesis at 42 °C for 5 min, inactivation reverse transcriptase at 95 °C for 3 min, denaturation at 95 °C for 3 s, annealing 59 °C for 20 s, and polymerization at 72 °C for 20 s for 40 cycles. At the end of PCR run, a melt curve analysis was performed to ensure that only a single product was amplified. The experiment was repeated in triplicate.

Statistical analysis

All data were expressed as mean ± standard deviation (mean ± SD). Statistical analysis was performed using LSD, considering P < 0.05 as the lowest limit of significance. Statistical analysis was performed using a software program (SAS. 2012. Statistical Analysis System, User's Guide. Statistical Version 9. 1st ed. SAS.Inst.Inc. Cary, NC, USA).

Results

Three SNPs in the CYP17 gene (T/C rs 743572) in the 5′UTR, G/T (rs 6162) and C/T (rs 6163 in exon 1) were typed in this study based on their role in hormones action, biosynthesis and metabolism. This is the first study to our knowledge to give frequency distribution genotypes of CYP17 gene in Iraqi population. The 5′-UTR of CYP17 contains a single-bp polymorphism T/Cat 34 bp upstream from the initiation of translation. After analysis of T/C genotypes for fifty individuals in this study, it reached to (31) 62.00% of all individuals had TT, (18) 36.00% had CC and only one of them 2.00% had TC alleles as shown in Table 2. The second SNP in exon 1 of CYP17 gene rs 6162 contains a single-bp polymorphism G to T upstream from the initiation of translation, Table 2 showed analysis of G/T genotypes for fifty individuals in this study, it reached to (34) 68.00% of all individuals had GG, (15) 30.00% had TT and only one of them (2.00%) had GT alleles. The third SNP in exon 1 of CYP17 gene rs 6163 contains a single-bp polymorphism C to T upstream from the initiation of translation. Analysis of C/T genotypes for fifty individuals in this study has shown that (29) 58.00% of all individuals had CC, (20) 40.00% had TT and only one of them (2.00%) had CT alleles as showed in Table 2. The frequency distribution of CYP17T/C, G/T and C/T genotypes according to demographic characteristics is shown in Table 3, Table 4, Table 5. Fifty-five samples of amplified products (forward and reverse strand) for CYP17 gene from healthy and endometriotic subjects were further analyzed by direct sequencing for detecting SNPs within these sequences. After alignment of product amplification of CYP17 gene for five samples having homozygous genotypes T/T, G/G and C/C from healthy subjects with the CYP17 of Homo sapiens from the GenBank using the BioEdit software, we found that part of CYP17 gene from healthy subjects having 100% compatibility with standard CYP17 in GenBank. The sequence was submitted to gene bank National Center Biotechnology Information (NCBI), DNA data bank of Japan (DDBJ) and European Bioinformatics institutes (EMBI) under the accession number (LC145028). Sequence alignment for eighteen, fifteen and twenty endometriotic patients have homozygous mutant genotype C/C, T/T and T/T respectively, this sequence were submitted under the accession numbers LC144988.1, LC145026.1 and LC145024.1 respectively. Alignment of the sequences of nucleotides for only sample has heterozygous genotype T/C, G/T and C/T from endometriotic sample with standard CYP17 gene that was submitted to gene bank under the accession numbers LC145027.1, LC145025.1 and LC145028.1 respectively. The data obtained from real time experiments were detected according to the Ct values which calculated from cycles and was proportional to the starting target copy number (logarithmic scale) used for amplification (the point that the fluorescence signal increased above baseline is the threshold cycle). The results of Table 6 demonstrate a highly significant difference (P ≤ 0.01) in CYP17 gene expression from women with versus without endometriosis and increased by 1.56-fold in women with endometriosis. Data in Table 7 showed a single-bp polymorphism T/C at 5′-untranslated promoter region (5′-UTR) of CYP17 which has a significant (P < 0.05) effect on gene expression, while the other two polymorphisms G/T (rs 6162) and C/T (rs 6163) in exon 1) have non-significant effect on gene expression.
Table 2

Distribution of samples study of CYP17 according to T/C, G/T and C/T genotypes.

PolymorphismCYP17 according to T/C
CYP17 according to G/T
CYP17 according to C/T
No.(%)No.(%)No.(%)
CC3162.003468.002958.00
TT1836.001530.002040.00
CT12.0012.0012.00
Total501005010050100
Chi-square (χ2)11.43812.69210.957
P-value0.002190.00010.00388

Significant at P ≤ 0.01.

Table 3

The frequency distribution of T/C genotype of CYP17 according to demographic characteristics.

FactorT/C
Chi-square
TTN (%)CCN (%)TCN (%)
Total, N = 5031 (62.00)18 (36.00)1 (2.00)11.43
Age (years)20–29, N = 208 (40.00)12 (60.00)0 (0.00)14.073*
30–39, N = 2217 (77.27)4 (18.18)1 (4.54)
40–49, N = 86 (75.00)2 (25.00)0 (0.00)
BMI (kg/m2)19–24.9, N = 1510 (66.66)4 (26.66)1 (6.66)14.758
25–29.9, N = 177 (41.17)10 (58.82)0 (0.00)
≥ 30, N = 1814 (77.77)4 (22.22)0 (0.00)
WHR0.65–0.91, N = 1910 (52.63)8 (42.10)1 (5.26)10.963
0.92–1.24, N = 3121 (67.74)10 (32.25)0 (0.00)
WHtR0.49–0.53, N = 2011 (55.00)8 (40.00)1 (5.00)10.342
0.54–0.68, N = 3020 (66.66)10 (33.33)0 (0.00)
Family historyYes, N = 2916 (55.17)12 (41.37)1 (3.44)12.574
No, N = 2115 (71.42)6 (28.57)0 (0.00)
Duration of disease4–6 months, N = 207 (35.00)12 (60.00)1 (5.00)14.210
1–2 years, N = 3024 (80.00)6 (20.00)0(0.00)
Allele frequencyT = 0.63, C = 0.37

Significant at P ≤ 0.01.

Table 4

The frequency distribution of G/T genotype of CYP17 according to demographic characteristics.

FactorG/T
Chi-square
GGN (%)TTN (%)GTN (%)
Total, N = 5034 (68.00)15 (30.00)1 (2.00)12.796
Age(Years)20–29, N = 207 (35.00)13 (65.00)0 (0.00)16.034
30–39, N = 2220 (90.90)1 (4.54)1 (4.54)
40–49, N = 87 (87.50)1 (12.5)0 (0.00)
BMI(Kg/m2)19–24.9, N = 1512 (80.00)2 (13.33)1 (6.66)14.689
25–29.9, N = 179 (52.94)8 (47.05)0 (0.00)
≥ 30, N = 1813 (72.22)5 (27.77)0 (0.00)
WHR0.65–0.91, N = 1913 (68.42)5 (26.31)1 (5.26)14.318
0.92–1.24, N = 3121 (67.74)10 (32.25)0 (0.00)
WHtR0.49–0.53, N = 2013 (65.00)6 (30.00)1 (5.00)13.566
0.54–0.68, N = 3021 (70.00)9 (30.00)0 (0.00)
Family historyYes, N = 2921 (72.41)7 (24.13)1 (3.44)14.629
No, N = 2113 (61.90)8 (38.09)0 (0.00)
Duration of disease4–6 months, N = 2010 (50.00)9 (45.00)1 (5.00)16.538
1–2 years, N = 3027 (90.00)3 (10.00)0(0.00)
Allele frequencyG = 0.69, T = 0.31

Significant at P ≤ 0.01.

Table 5

The frequency distribution of C/T genotypes of CYP17according to demographic characteristics.

FactorC/T
Chi-square
CCN (%)TTN (%)CTN (%)
Total, N = 5029 (58.00)20 (40.00)1 (2.00)10.664
Age (Years)20–29, N = 206 (30.00)14 (70.00)0 (0.00)16.298
30–39, N = 2220 (90.90)1 (4.54)1 (4.54)
40–49, N = 83 (37.50)5 (62.50)0 (0.00)
BMI (Kg/m2)19–24.9, N = 1513 (86.66)1 (6.66)1 (6.66)14.873
25–29.9, N = 179 (52.94)8 (47.05)0 (0.00)
≥ 30, N = 187 (38.88)11 (61.11)0 (0.00)
WHR0.65–0.91, N = 1914 (73.68)4 (21.05)1 (5.26)14.215
0.92–1.24, N = 3115 (48.38)16 (51.61)0 (0.00)
WHtR0.49–0.53, N = 2018 (90.00)1 (5.00)1 (5.00)15.552
0.54–0.68, N = 3011 (36.66)19 (63.33)0 (0.00)
Family historyYes, N = 2919 (65.51)9 (31.03)1 (3.44)14.956
No, N = 2112 (57.14)9 (42.85)0 (0.00)
Duration of disease4–6 months, N = 2011 (55.00)8 (40.00)1 (5.00)11.037
1–2 years, N = 3020 (66.66)10 (33.33)0(0.00)
Allele frequencyC = 0.59, T = 0.41

Significant at P ≤ 0.01.

Table 6

Statistical analysis of CYP17 gene expression in women of endometriosis compared to control group.

GroupsMean (Ct)SDSE95% C.I. for MeanMin.Max.ΔΔCt (Cycle)Fold change 2− ΔΔCtP-value
A20.3220.4710.0700.191–0.58018.94021.132-0.6431.561< 0.01
C20.7110.4500.06119.40121.421

Group A: without treatment, Group C: Healthy women.

Table 7

Effect of T/C, G/T and C/T genotypes of CYP17 on fold change for endometriosis patients.

GenotypeT/C genotypeG/T genotypeC/T genotype
Mean ± SEMean ± SEMean ± SE
TT1.551 ± 0.0301.601 ± 0.0421.562 ± 0.040
CC1.591 ± 0.0411.552 ± 0.0311.583 ± 0.032
TC1.360 ± 0.0011.360 ± 0.0011.364 ± 0.002
LSD value1.011NSNS
P-value0.0410.3780.477

NS: non-significant at P > 0.05.

Significant at P < 0.05.

Discussion

Genetic variation in CYP17 was associated with steroid hormone levels, menstrual factors and risk of endometrial, breast and prostate cancers. Polymorphisms are not directly linked to a certain disease. However, polymorphisms involved in steroid hormone biosynthesis and signaling may be useful genetic biomarkers for hormone-related diseases, CYP17 polymorphism may play a crucial role in the etiology of hormone related disease such as endometriosis [10]. The 5′-UTR of CYP17 contains a single-bp polymorphism )T/C( at 34 bp upstream from the initiation of translation. The minor allele variant (CC) was associated with elevated serum estrogen and progesterone levels in premenopausal women and increase risk of endometriosis [11]. This polymorphism is common; the (CC) genotype is present in 11–19% of North American whites and 6–16% of African-Americans [12]. Further, the C allele was associated with increased risk of uterine leiomyomas which is consistent with the proliferative effect of estrogen on the endometrium [13]. A number of studies showed no association between endometriosis and this minor allele [14], [15], [16]. Interestingly, germline variation of CYP17 polymorphism (rs 6162), associated with outcomes herein and in previous studies [17], [18], is located in the exon 1 raising the possibility of a functional impact on transcriptional activity of the gene. Eric et al. found that there was the relationship of prognostic markers positive in both Caucasian and Taiwanese population with circulating sex steroids was then assessed in the Caucasian cohort. Remarkably, CYP17 (rs6162) variation was associated with significant changes in plasma steroid levels. The CYP17 rs6162 variation is associated with a 20% difference in DHEA-S levels [19].CYP17 is relatively small, approximately 7 kilobase (kb) in size. Several single nucleotide polymorphisms (SNPs) were described in CYP17. However, apart from the T to C polymorphism, only two SNPs were validated by frequency (rs 6162, rs 6163) this SNP is very close and are situated at the 5′ end of the gene. Also likely to be in strong linkage disequilibrium with each other and with the T to C polymorphism, which is in the promoter region of CYP17 [20]. Strong linkage disequilibrium (LD) was detected between SNP rs743572 and the other two SNPs in the gene (rs6162 and rs6163) in Australian sample [9]. Nichola et al. genotyped 10 variants in CYP17, including rs6163, which is highly correlated with rs743572, the minor (A) allele of rs6163 was associated with a modest reduction in levels of urinary estrone glucuronide and a modest increase in levels of plasma androstenedione in premenopausal women [7]. In women, CYP17 is expressed in the ovarian theca cells, the corpus luteum, adrenals, and adipose tissue [21]. Our results were in agreement with Konstantinos et al., who suggested that the C allele of (T/C) polymorphism may provide additional promoter activity with an increased rate of CYP17 mRNA transcription [22]. The polymorphism is thought to induce CYP17 gene expression resulting in higher levels of androgens and, consequently, in a higher risk of the development and progression of prostate disease [23], [24].

Conclusion

In this study, we observed significant associations between CYP17 SNPs (rs743572, rs6162 and rs6163) and genotypes of Iraqi women with endometriosis disease. Specifically, we observed a decreased risk for endometriosis in homozygotes for these three CYP17SNPs. In addition, the result of our study demonstrates a highly significant difference in CYP17 gene expression from women with versus without endometriosis and only SNPs rs743573 had a significant effect on CYP17 gene expression.

Conflict of interest

The authors declare that they have no conflict of interest.
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