Result
of binding with PKs, PKRs couple to Gq pro-
teins, and then promote intracellular Ca
2+ mobiliza-
tion (Lin et al., 2002; Soga et al., 2002). In addition,
PKRs can also couple to Gi and Gs proteins, indi-
cating that PKRs are found to be involved in activat-
ing multiple intracellular signal-transduction path-
ways (Chen et al ., 2005). Activation of PKRs influ-
ences several physiological events, such as intestinal
contraction, spermatogenesis, circadian rhythm,
hematopoiesis, and angiogenesis (Schweitz et al., 1999;
Wechselberger et al ., 1999; Le Couter et al ., 2001;
2002; 2003; 2004; Morton et al., 2005).
Given the potential regulation of the PKs/PKRs
pathways in human early pregnancies, we hypothe-
sized that polymorphisms of PKRs are involved in
abnormal angiogenesis and implantation failure. The
present study aims to inve stigate the association be-
tween the polymorphisms of PKRs (PKR1 rs4627609
and PKR2 rs6053283) and RPL.
2 Materials and methods
2.1 Subjects
The study was approved by the Ethics Commit-
tee of Soochow University (Suzhou, China). A total
of 93 RPL cases (mean±standard deviation (SD) age,
(28.30±3.77) years; body mass index (BMI), (20.93±
2.23) kg/m
2) and 169 ethnic-matched healthy controls
(mean±SD age, (28.08±3.62) years; BMI, (20.10±
2.29) kg/m
2) were included in this study. Patients
aged 20–40 years with two or more consecutive un-
explained terminations of pregnancy before 12 gesta-
tional weeks or expulsions of a fetus weighing <500 g
were identified and recruited when they visited the
Maternal and Child Health Center in Kunshan City,
the First People’s Hospital and the Second People’s
Hospital which are affiliated with Soochow University
for repeated treatment (two or more times). All pa-
tients with RPL had a naturally conceived pregnancy.
Subjects with anatomical abnormality, chromosome
abnormality, endocrine disorder, autoimmune disease,
or coagulopathy were excluded from the study. One
hundred and sixty-nine age-matched pregnant women
with at least one naturally conceived pregnancy and
no history of miscarriage were recruited as control
subjects (2 for each case patient). None of the controls
had a history of pregnancy complications, still birth,
pre-eclampsia, or giving birth to a child who was
small for its gestational age. The matching criteria
included age (±2 years), gestational age (±1 week),
and residence (the same district).
Information on demographic characteristics,
lifestyle, obstetric history, and other RPL risk factors
was collected using a structured questionnaire. An-
ticoagulant peripheral blood samples were obtained
from all the participants during the following two
weeks after their day of recruitment, and stored at
−80 °C until the genomic DNA was isolated.
2.2 Genotyping
Genomic DNA was extracted from the lym-
phocyte of the anticoagulant peripheral blood using
the QIA-amp DNA blood kit (QIAGEN, Hilden,
Germany) according to the manufactures’ instructions.
The quality evaluation of the extracted DNA was
performed using a NanoDrop spectrophotometer
(ThermoScientific) by measuring the absorbance at
260 nm. The DNA sample used for genotyping is
30 ng/ μl with an OD
260/OD280 (OD: optical density)
range from 1.8 to 2.0 and an OD260/OD230 range of no
less than 1.5.
The single nucleotide polymorphisms (SNPs) of
rs4627609 and rs6053283 were detected by using a
Sequenom MassARRAY iPLEX platform (Sequenom,
San Diego, CA, USA), in which a 90% sample quality
Cao et al. / J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2016 17(3):218-224 220
control (QC) rate and a 90% SNP genotyping success
rate were imposed. Briefly, a single base extension,
following an initial locus-specific PCR reaction, was
conducted by using mass-modified dideoxynucleotide
terminators of an oligonucleotide primer which im-
mediately anneals upstream to the polymorphic site of
interest, and then, via using a matrix-assisted laser
desorption and ionization time-of-flight (MALDI-
TOF) mass spectrometry, the SNP allele was identi-
fied by the distinct mass of the extended primer (Ga-
briel et al., 2009).
2.3 Statistical analysis
The Hardy-Weinberg equilibrium and the com-
parisons of genotype and allele frequencies between
RPL cases and the controls were performed using the
online software SHEsis to perform a Chi-square test
(http://analysis.bio-x.cn/myAnalysis.php) (Shi and He,
2005). Using the SPSS Version 13.0, a univariate
logistic regression was conducted, and then adjusted
by the BMI of the participants. The independent-
samples t-test between the RPL cases and controls on
the women’s age and BMI showed that there was a
significant difference between the case and control
groups on BMI ( P=0.005; Table 1). The adjusted
odds ratios (AORs) and their 95% confidence inter-
vals (CIs) were used to measure the strength of the
association between the RPL and polymorphisms of
rs4627609 and rs6053283. In order to account for
multiple testing, significance levels were adjusted by
the Bonferroni correction, which was made for 2
SNPs, and the significance level was reduced to 0.025
(0.05/2), where appropriate (O'Callaghan et al., 2012).
2.4 Prediction of SNP effects
The prediction of the SNP effects on mRNA
splicing was performed using the web-based predic-
tion software ESEfinder (http://rulai.cshl.edu/cgi-bin/
tools/ESE3/esefinder.cgi?process=home) (Smith et al.,
2006).
3 Results
The genotype distributions of the two poly-
morphisms both in the case and control groups were
all within the Hardy-Weinberg equilibrium (P>0.05).
The data of genotype and allele frequencies are shown
in Tables 2 and 3. The results indicated that the dis-
tribution of the genotype and allele frequencies of
PKR2 rs6053283 showed significant differences be-
tween the RPL cases and the healthy controls (P=0.009
and P=0.003, respectively). The univariate logistic re-
gression analyses showed that women with rs6053283
AA genotype had a higher risk of RPL than GG gen-
otype carriers (AOR: 2.65, 95% CI: 1.14–6.17, P=0.024)
and A allele was positively associated with the in-
creased risk of RPL (AOR: 2.14, 95% CI: 1.28–3.58,
Table 1 Independent-samples t-test between case and
control subjects
Group Age (year) BMI (kg/m 2)
Case (n=93) 28.301±3.767 20.926±2.226
Control (n=169) 28.083±3.618 20.103±2.289
P-value 0.650 0.005
Data are expressed as mean±SD. Age: age of the participants;
BMI: body mass index of the participants
Table 2 Genotype and allele frequencies of the PKR1 rs4627609 SNP in RPL patients and controls
SNP Group
Genotype frequency Allele frequency
TT TC CC P-value T C P-value OR (95% CI)
PKR1
(rs4627609)
Case 38 (0.409) 37 (0.398) 18 (0.194) 0.714 113 (0.608) 73 (0.392) 0.929 0.98 (0.68–1.42)
Control 64 (0.379) 76 (0.450) 29 (0.172) 204 (0.604) 134 (0.396)
Data are expressed as number (frequency)
Table 3 Genotype and allele frequencies of the PKR2 rs6053283 SNP in RPL patients and controls
SNP Group
Genotype frequency Allele frequency
GG GA AA P-value G A P-value OR (95% CI)
PKR2
(rs6053283)
Case 63 (0.677) 25 (0.269) 5 (0.054) 0.009 151 (0.812) 35 (0.188) 0.003 2.14 (1.28–3.58)
Control 137 (0.811) 31 (0.183) 1 (0.006) 305 (0.902) 33 (0.098)
Data are expressed as number (frequency)
Cao et al. / J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2016 17(3):218-224 221
P=0.003) (Table 4); however the polymorphism of
rs4627609 was not associated with RPL.
The wild-type (G) allele and mutant-type (A)
allele of PKR2 rs6053283 were analyzed using
ESEfinder, and the data indicated that the mutant-type
“A” allele can affect the splicing regulation by alter-
ing the exonic splicing enhancer (ESE) motifs. The
Results
showed that the mutant-type “A” results in a
gain within the SC35 motif (1.12) (Fig. 1). Serine/
arginine-rich (SR) proteins, which have distinct func-
tions in alternative pre-mRNA splicing, are bound to
ESEs and function as general activators of the exon
definition. The SR protein family members include
SF2/ASF, SC35, SRp20, SRp40, SRp55, SRp75,
SRp30c, 9G8, and SRp54 (Long and Caceres, 2009).
4 Discussion
The results of the independent-samples t-test
between the RPL case and the control groups on
women’s ages and BMI revealed that there were sig-
nificant differences between the case and control
groups in BMI ( P=0.005). In order to reduce the in-
fluence of the confounding factors, the OR was ad-
justed by the BMI for all the subjects. Although, the
AOR was estimated as a measure of the strength of
the association between the polymorphisms and RPL,
it was still difficult to rule out other confounding
factors, such as the living environments and dietary
habits. Even so, the results demonstrated a strong
association between the polymorphism of PKR2
rs6053283 and RPL (P=0.003).
The beginning and maintenance of a successful
pregnancy depends on many factors, such as angio-
genesis and endometrial receptivity. Angiogenesis is
very important in the process of placental vessel
formation and maternal vascular adaptation. PK1 and
its receptors (PKR1, PKR2), are shown to be
expressing in the human placenta of the first and third
Table 4 Univariate logistic regression for dependent variables: having RPL according to genotype distributions of
investigated SNPs as independent variables
Genotype and allele Number (frequency) AOR (95% CI) P-value Case (n=93) Control ( n=169)
PKR1 rs4627609
TT 38 (0.409) 64 (0.379) 1.00 (ref)
TC 37 (0.398) 76 (0.450) 1.20 (0.68–2.14) 0.527
CC 18 (0.194) 29 (0.172) 0.94 (0.66–1.36) 0.746
TC+CC 1.10 (0.65–1.87) 0.718
T 113 (0.608) 204 (0.604) 1.00 (ref)
C 73 (0.392) 134 (0.396) 0.98 (0.68–1.42) 0.929
PKR2 rs6053283
GG 63 (0.677) 137 (0.811) 1.00 (ref)
GA 25 (0.269) 31 (0.183) 1.64 (0.88–3.06) # 0.122
AA 5 (0.054) 1 (0.006) 2.65 (1.14–6.17) 0.024
GA+AA 1.94 (1.07–3.50) 0.028
G 151 (0.812) 305 (0.902) 1.00 (ref)
A 35 (0.188) 33 (0.098) 2.14 (1.28–3.58) 0.003
AOR: adjusted odd ratio by body mass index of female participants; ref: reference group. # Significance level α=0.025 by Bonferroni
correction
Fig. 1 Prediction for binding of splicing enhancer: an
outcome of rs6053283 mutation
The wild-type “G” and mutant-type “A” alleles of rs6053283
were predicted by ESEfinder to disrupt ESE sites of one or
more of four different SR proteins (SF2/ASF (red), SC35
(blue), SRp55 (yellow)), and the results are shown in the top
panels. Colored bars represent individual ESE sites with the
matrix score (higher score represents a stronger prediction)
plotted on the vertical axis and the position of the ESE within
each rs6053283 represented on the horizontal axis
(Note: for
interpretation of the references to color in this figure legend,
the reader is referred to the web version of this article)
Cao et al. / J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2016 17(3):218-224 222
trimester periods and locating to the syncytiotropho-
blast layer, cytotrophoblast layer, fetal endothelium,
and macrophages, which mediates tissue-specific
angiogenesis, immune regulation, and modulation of
the inflammatory responses (Le Couter et al., 2001;
Dorsch et al., 2005; Hoffmann et al., 2006; Denison
et al., 2008). All of the above functions play critical
roles in endometrial receptivity, embryo implantation,
and placentation. Meanwhile, the expression pattern
of PK1 and its receptor indicates their essential roles
in early human pregnancy. The expression of PK1
and PKR1 reaches its peak during the hypoxic period
of the placental development. Reports suggested that
the dynamic expression of PK1 during the pregnancy
period may possibly be regulated by up-regulated
hormones during early pregnancy (estrogen, pro-
gesterone, and human chorionic gonadotrophin)
(Battersby et al., 2004; Evans et al., 2009; Shaw et al.,
2010). PK1 and VEGF have similar biological func-
tions during human pregnancy (Le Couter et al .,
2003). Both of them are expressed in human placenta;
the difference lies in the fact that the VEGF expres-
sion is restricted to the cytotrophoblasts and extravil-
lous trophoblasts (Hoffmann et al ., 2006), and pol-
ymorphisms of the VEGF have been associated with
the risk of RPL (Lee et al., 2010). Given these facts,
we speculated that PK1 and VEGF perform com-
plementary roles during pregnancy.
Evidence shows that PK1 expression is elevated
during the implantation period (Evans et al., 2008).
PK1 was shown to stimulate a group of genes, in-
cluding interleukin 11 ( IL-11), IL-6, leukemia inhib-
itory factor (LIF), and cyclooxygenase 2 ( COX-2),
which play important roles in embryo implantation
and decidualization (Stewart et al., 1992; Tabibzadeh
et al ., 1995; Lim et al ., 1997; Robb et al ., 1998;
Denison et al., 2008; Haouzi et al., 2009). PK1 can
induce its target genes by phosphorylation of their
downstream target extracellular signal-regulated
kinase1/2 through cross-talk with the epidermal growth
factor receptor system, or by activation of mitogen-
activated protein kinase and the PI3 kinase/Akt
pathway (Lin et al., 2002; Haouzi et al., 2009). Den-
ison et al. (2008) suggested that PK1 facilitated the
embryo implantation via inducing the LIF expression.
Recently, PK1 was reported as a uterine receptivity
marker (Evans et al ., 2008). All of the evidence
unanimously revealed the important role of PK1 in
embryo implantation. Therefore, we surmised that the
polymorphisms of PK1 and its receptors may be as-
sociated with RPL.
The mutation of PKR2 has been reported to be
associ
ated with hypogonadotropic hypogonadism.
Kallmann syndrome patients with biallelic PKR2
mutations had a severe reproductive phenotype. Bi-
allelic PKR2 mutations have also been reported
in women suffering from primary amenorrhea and
breast development dysfunction, especially in mono-
allelic mutation of PKR2 carriers (Monnier et al .,
2009; Sarfati et al., 2010). Other disorders associated
with the PK1 signaling pathway include polycystic
ovarian syndrome (PCOS), ectopic pregnancy, en-
dometriosis, and pre-eclampsia (Hoffmann et al .,
2006; Shaw et al., 2010; Tiberi et al., 2010). Studies
have demonstrated that the PK1 expression is higher
in ectopic endometrial and polycystic ovarian tissue
in patients with endometriosis or PCOS, and this
suggests the role of angiogenesis of PK1 (Ferrara
et al., 2003; Shaw et al., 2010). The association be-
tween polymorphisms of PK1 and its receptors with
RPL was first studied in the Taiwanese Han popula-
tion. Su et al. (2010) found that PKR1 rs4627609 and
PKR2 rs6053283 polymorphisms were associated
with idiopathic RPL. This study was conducted in the
East China Han population, and further confirmed the
association between PKR2 rs6053283 and RPL.
However, we failed to discover the association be-
tween PKR1 rs4627609 and RPL. This inconsistent
finding may primarily be attributed to the small
samples both in our study and previous reports.
Moreover, the differences of geographic environ-
ments between Taiwanese and East China may also
have an influence on the results. To a certain extent,
environmental factors play a key role in the occur-
rence of RPL as well.
In conclusion, our findings indicated that poly-
morphism in PKR2 rs6053283 was obviously asso-
ciated with idiopathic RPL and could be developed as
a new biomarker to evaluate the risk of RPL. How-
ever, there is no study performed in other populations
and the underlying mechanism of PKR2 rs6053283
polymorphism in the development of RPL is largely
unknown, so further studies are warranted to replicate
our findings in different ethnic groups with larger
sample sizes. It is also necessary to validate the func-
tion of the PKR2 rs6053283 polymorphism on RPL.
Cao et al. / J Zhejiang Univ-Sci B (Biomed & Biotechnol) 2016 17(3):218-224 223
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中文概要
题 目:前动力蛋白受体(PKR1 rs4627609 和 PKR2
rs6053283)的多态性与复发性流产的关系
目的 : 研究前动力蛋白受体 PKR1 rs4627609 和 PKR2
rs6053283 的多态性与复发性流产的关系,并对
其可能的作用机制进行预测。
创新点:首次在中国汉族人群中进行前动力蛋白受体
PKR1 rs4627609 和 PKR2 rs6053283 的多态性与
复发性流产关系的研究,并对其功能进行预测。
方法 : 共收集了 93 例复发性流产和 169 例健康对照者
血液样本, 提取基因组DNA, 对PKR1 rs4627609
和 PKR2 rs6053283 两个位点进行基因多态性分
析, 在两组样本中分析不同基因型与复发性流产
的关系,并对 PKR2 rs6053283 位点的不同等位
基因进行生物功能预测。
结论 : PKR2 rs6053283的多态性与复发性流产相关;而
PKR1 rs4627609的多态性与复发性流产之间不存
在相关性。
关键词:前动力蛋白受体 1;前动力蛋白受体 2;多态性;
复发性流产