Introduction
PE (preeclampsia) complicates 2–5% of pregnancies and is a major cause of maternal, fetal, and neonatal morbidity and mortality [
1]. Furthermore, PE could increase the risk of long-term cardiovascular diseases of both mothers and their offspring [
2,
3]. Though efforts have been made, the exact etiology for PE is still unclear.
MicroRNAs (miRNAs) have been proposed to regulate the stability of mRNAs that encode proteins involved in maintaining various normal physiological processes [
4]. The biosynthesis of miRNAs is a tightly regulated multistep process. Single nucleotide polymorphisms (SNPs) within those miRNAs biosynthesis genes can result in altered miRNAs expression and subsequently being associated with risks of some diseases [
5‐
7]. A recent study conducted in Iran has also observed the association between SNPs within maternal miRNAs biosynthesis genes and risk of PE [
8].
DiGeorge critical region 8 (DGCR8) is an RNA binding protein which interacts with Drosha to produce pre-microRNA in the nucleus and is indispensable in miRNA maturing processing [
9].
DGCR8 also referred to as Pasha, could stabilize Drosha via protein- protein interaction, and take charge of recognizing ssRNA and dsRNA structures [
10]. SNPs within the
DGCR8 are associated with schizophrenia [
11], primary open angle glaucoma [
12] and various cancers [
13‐
15]. However, the impact of polymorphisms in
DGCR8 on the susceptibility to PE has not been elucidated.
Moreover, PE is a heterogeneous disorder with 2 distinct subtypes: in most PE cases, the clinical features first come into view at or after 34 weeks of gestation called late onset PE (LOPE), and about 10% of cases showed the symptoms before 34 weeks of gestation called early onset PE (EOPE) [
16]. Heterogeneous phenotypes in PE were resulted from different pathophysiological mechanisms [
17,
18]. Decreased spiral artery remodeling and poor placentation are involved in EOPE. On the other hand, LOPE seems to be the manifestation of a mismatch between the metabolic demands of the growing fetus and maternal supply [
17,
18]. Recent studies also found that different genetic predisposition also existed between LOPE and EOPE [
19,
20]. We, therefore, have genotyped 5 SNPs in
DGCR8 including rs1558496, rs1640299, rs720012, rs720014, and rs9606241 in a case-control study to evaluate the impact of these genes polymorphisms on the risk of EOPE and LOPE.
Results
General information on enrolled cases and controls were all listed in Table
1. Both EOPE and LOPE cases were older than controls. Compared to LOPE cases and controls, the EOPE cases were more likely to be nulliparous and exposure to active and/or passive smoking during pregnancy. And LOPE cases had higher risk of GDM than EOPE and controls. No significant differences in the distribution of maternal education, or fetal gender were found between EOPE, LOPE and controls.
Table 1
Distributions of characteristics between selected PE patients and Controls
Maternal age, years |
< 25 | 44(13.33) a | 6(9.09) a | 26(12.62) a | < 0.001 |
25–30 | 177(53.64) | 24(36.36) | 66(32.04) | |
> 30 | 109(33.03) | 36(54.55) | 114(55.34) | |
Education, years |
≤ 12 | 118(35.76) | 26(39.39) | 90(43.69) | 0.186 |
> 12 | 212 | 40(60.61) | 116(56.31) | |
Nulliparous |
Yes | 152 (46.06) b | 42(63.64) b | 96(46.60) b | 0.028 |
No | 178 (53.94) | 24(36.36) | 106(53.40) | |
Active and/or passive smoking |
Yes | 102 (30.90) b | 31(46.97) b | 61(29.61) b | 0.024 |
No | 228 (69.09) | 35(53.03) | 145(70.39) | |
Fetal gender |
Male | 167 (50.61) | 36(54.55) | 86(41.75) | 0.072 |
Female | 163 (49.39) | 30(45.45) | 120(58.25) | |
GDM |
Yes | 17 (5.15) c | 6(9.09) c | 40(19.42) c | < 0.001 |
No | 313 (94.85) | 60(90.91) | 166(80.58) | |
The genotyping completion rates were 100% for all SNPs. All of the selected genes have showed polymorphisms and observed with HWE in the control group. Results from VEP showed that all of the 5 selected SNPs had a predicted ‘modifier’ impact (Additional file
1: Table S1).Table
2 showed the odds ratios for 5 selected SNPs and PE subtypes. After the FDR correction, increased risk of LOPE has been still observed among patients with rs1640299 TG genotype (OR = 1.98 (95%CI: 1.38, 2.87),
p = 2.32e-4) and rs720014 TC genotype (OR = 2.49 (95%CI: 1.72, 3.60),
p = 1.40e-7). However, none of the tested SNPs was associated with risk of EOPE (
p > 0.05). Compared with controls, though the frequencies of rs720012 AA genotype were higher in LOPE group, this association became insignificant after FDR correction (
p = 0.067).
Table 2
Associations between the polymorphisms in DGCR8 gene and preeclampsia subtypes
rs1558496 |
TT | 288(87.27) | 54(81.82) | 1.00 | | | 185(89.81) | 1.00 | | |
TC | 40(12.12) | 10(15.15) | 1.33(0.63, 2.83) | 0.453 | 0.755 | 20(9.71) | 0.78(0.44, 1.37) | 0.387 | 0.484 |
CC | 2(0.61) | 2(3.03) | 5.33(0.74, 38.69) | 0.097 | 0.485 | 1(0.49) | 0.78(0.07, 8.64) | 0.838 | 0.838 |
rs1640299 |
TT | 195(59.09) | 38(57.58) | 1.00 | | | 85(41.26) | 1.00 | | |
TG | 120(36.36) | 23(34.85) | 0.98(0.56, 1.73) | 0.954 | 0.979 | 104(50.49) | 1.98(1.38, 2.87) | 2.32e-4 | 5.80e-4 |
GG | 15(4.55) | 5(7.58) | 1.71(0.59, 4.99) | 0.325 | 0.530 | 17(8.25) | 2.60(1.24, 5.45) | 0.011 | 0.055 |
rs720012 |
GG | 64(19.39) | 14(21.21) | 1.00 | | | 45(21.84) | 1.00 | | |
GA | 154(46.67) | 34(51.52) | 1.00(0.51, 2.00) | 0.979 | 0.979 | 115(55.83) | 1.06(0.68, 1.67) | 0.794 | 0.794 |
AA | 112(33.94) | 18(27.27) | 0.74(0.34, 1.58) | 0.428 | 0.530 | 46(22.33) | 0.58(0.35, 0.98) | 0.040 | 0.067 |
rs720014 |
TT | 231(70.00) | 50(75.76) | 1.00 | | | 99(48.06) | 1.00 | | |
TC | 91(27.58) | 13(19.70) | 0.66(0.34, 1.27) | 0.215 | 0.538 | 97(47.09) | 2.49(1.72, 3.60) | 1.40e-7 | 7.00e-07 |
CC | 8(2.42) | 3(4.55) | 1.73(0.44, 6.76) | 0.429 | 0.530 | 10(4.85) | 2.92(1.12, 7.61) | 0.0287 | 0.067 |
rs9606241 |
AA | 240(72.73) | 41(62.12) | 1.00 | | | 139(67.48) | 1.00 | | |
AG | 83(25.15) | 23(34.85) | 1.62(0.92, 2.86) | 0.095 | 0.475 | 60(29.13) | 1.25(0.84, 1.85) | 0.268 | 0.447 |
GG | 7(2.12) | 2(3.03) | 1.67(0.34, 8.33) | 0.530 | 0.530 | 7(3.40) | 1.27(0.59, 5.03) | 0.316 | 0.395 |
The associations between possible haplotypes and risk of EOPE and LOPE were estimated and listed in Table
3. The
DGCR8 rs1558496/ rs1640299/ rs720012/ rs720014/ rs9606241 haplotype T-G-A-C-A and T-G-A-C-G were significantly associated with increased risk of LOPE (OR = 2.20 (95%CI: 1.49, 3.25) and 1.58 (95%CI: 1.06, 2.36), respectively). However, the haplotype T-T-G-T-A was associated with lower risk of LOPE (OR = 0.74 (95%CI: 0.58, 0.95)). Those associations retained after FDR correction (
p < 0.05).
Table 3
Associations between haplotypes of DGCR8 genes and preeclampsia subtypes a
DGCR8 rs1558496/ rs1640299/ rs720012/ rs720014/ rs9606241 |
C G A T G | 0.063 | 0.106 | 1.74(0.92, 3.30) | 0.083 | 0.415 | 0.053 | 0.83 (0.49, 1.42) | 0.495 | 0.495 |
T G A C A | 0.077 | 0.045 | 0.57(0.24, 1.35) | 0.195 | 0.488 | 0.155 | 2.20 (1.49, 3.25) | 5.90e-5 | 2.95e-4 |
T G A C G | 0.084 | 0.098 | 1.19 (0.63, 2.25) | 0.588 | 0.597, | 0.126 | 1.58 (1.06, 2.36) | 0.024 | 0.040 |
T T A T A | 0.198 | 0.220 | 1.13 (0.72, 1.78) | 0.597 | 0.597 | 0.163 | 0.78 (0.57, 1.08) | 0.136 | 0.170 |
T T G T A | 0.573 | 0.530 | 0.83(0.57, 1.21) | 0.339 | 0.565 | 0.500 | 0.74 (0.58, 0.95) | 0.018 | 0.040 |
Discussion
In our study, we have evaluated five SNPs (rs1558496, rs1640299, rs720012, rs720014 and rs9606241) of the DGCR8 gene with the risk of EOPE and LOPE in Han-Chinese population. The results showed that rs1640299 genotype TG and rs720014 genotype TC were associated with increased risk of LOPE. DGCR8 haplotypes are also significantly associated with risk of LOPE. However, none of the tested SNPs or haplotypes in DGCR8 gene is associated with risk of EOPE.
Generation of pre-miRNAs from the longer pri-miRNAs by the microprocessor is the first step of miRNAs maturation [
9]. As a key component of microprocessor, DGCR8 takes charge of stabilizing Drosha via protein- protein interaction, recognizing the pri-miRNA at the ssRNA-dsRNA junction and directing Drosha to a specific cleavage site [
10]. It is indispensable for miRNAs biogenesis. Emerging evidence has supported that the genetic variations within
DGCR8 were associated with various diseases [
11‐
15]. The polymorphism in rs1640299 was reported to be associated with risk of laryngeal cancer [
13] and bladder cancer [
14], and could increase the effect of black carbon pollutant exposures on blood pressure (BP) [
22]. In our study, we also found that compared with wild genotype, the risk of LOPE among rs1640299 TG genotype carriers was increased by almost 2 fold (OR = 1.98 (95%CI: 1.38, 2.87)). Moreover, patients with rs720014 TC genotype had a 2.49 fold increased risk of LOPE (OR = 2.49 (95%CI: 1.72, 3.60)). Previous studies conducted in Caucasians also found that ovarian cancer survival [
23] and radiotherapy induced pneumonitis in patients with non-small cell lung cancer [
24] were significantly associated with polymorphism in rs720014, but not associated with rs720012 polymorphism which is in consist with our findings. The polymorphisms in rs1640299 and rs720014 were both located at the 3′UTR of
DGCR8 which is not translated directly into the protein. However, based on the bioinformatic prediction (
http://snpinfo.niehs.nih.gov/index.html), rs1640299 is located at the binding sites of miR-1256 and miR-583 in the 3′UTR of
DGCR, and rs720014 is located at the binding sites of miR-106, miR-17, miR-20, miR-518, miR-770 and miR-93. Mutations on those two 3′UTR sites might lead to impairment of those miRNAs binding and thereby modify the process of miRNAs maturation and consequently may play a pivotal role in PE. Additionally, impairment of miRNAs binding could also affect mRNA stability and lead to upgraded DGCR8 expression which has been previously observed in Iranian PE patients [
25]. However, the specific molecular mechanisms of those two SNPs need further experimental validation.
The impact of polymorphisms in rs9606248 and rs1558496 on susceptibility to diseases has been previously tested in breast cancer [
26] and colon cancer [
27]. And no significant association has been observed. Our results also suggest no significant association existing between those two SNPs and EOPE/ LOPE.
Growing evidence proved that LOPE and EOPE are two distinct phenotypes of PE, which were resulted from different pathophysiological mechanisms [
17,
18]. Decreased spiral artery remodeling and poor placentation are involved in EOPE. On the other hand, LOPE seems to be the manifestation of a mismatch between the metabolic demands of the growing fetus and maternal supply [
17,
18]. Recently, studies conducted in Australia and Brazilian found that maternal polymorphisms in
HIF1α [
19] and
ACVR2A [
20] genes were associated with risk of EOPE, but not with LOPE. Those findings implied that different genetic predisposition existed between LOPE and EOPE. Our study added evidence to this hypothesis:
DGCR8 polymorphisms are only associated with LOPE susceptibility. The
DGCR8 gene plays a central role in angiogenesis and cardiovascular function [
28,
29]: deletion of
DGCR8 in cardiomyocytes could lead to the increase of angiogenesis genes and left ventricular malfunction. The angiogenic/anti-angiogenic imbalance is milder in LOPE rather than in EOPE [
30]. We speculated that the polymorphisms in rs1640299 and rs720014 may only cause mild angiogenic/anti-angiogenic imbalance which result different genetic predisposition observed in our study.
Strengths and limitations should be considered when interpreting the study findings. Diagnosis of EOPE/ LOPE was based on medical records not self-report, which minimized potential disease misclassification. However, the limitation should not be ignored as well. Our case control study only explores the association between SNPs in DGCR8 and EOPE/ LOPE development, not the causal relationship. And the functional study of those SNPs to the development of LOPE has not been conducted in present study. Moreover, our study was conducted among Chinese with relative small sample size. The replication of our finding in an independent population is needed.
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