Intro
Infertility has increased in recent decades, and the estimated prevalence of
infertility is 10-15 percent in the general reproductive-age couple ( Chan et al ., 2016a ; Zeng et al ., 2017 ). Recurrent
Implantation Failure (RIF) is considered to be a repetitive failure to achieve
pregnancy following the transfer of high-quality embryos after several
in-vitro fertilization (IVF) treatment attempts ( Jung et al ., 2016 ).
The causes of RIF are still poorly known. Its etiology can be divided into three
categories: decreased endometrial receptivity, embryonic defects, and unsynchronized
relation between maternal and embryonic tissue ( Vagnini et al ., 2015 ). Uterine abnormalities, including
thin endometrium and the altered expression of cell adhesion molecules, may lead to
a decrease in endometrial receptivity. Genetic abnormalities like chromosome
anomalies and sperm defects play a vital role in RIF ( Boudjenah et al ., 2012 ). It is demonstrated that low
expression of apoptosis and angiogenesis genes is related to implantation failure
( Lledo et al .,
2014 ).
The vascular endothelial growth factor (VEGF) is an essential factor in the
angiogenesis and an initial regulator of endothelial cells proliferation. In the
early gestation, VEGF is crucial for oocyte maturation, trophoblastic growth,
implantation, and fetal, placental angiogenesis in the uterus ( Xu et al ., 2015 ). The gene which codes VEGF on
chromosome 6p21.3 involves a 14kb coding region with eight exons and seven introns
( Samli et al ., 2012 ).
Until now, seven isoforms of human VEGF have been identified ( Galazios et al ., 2009 ). The P53 gene has an
essential role in fertility by regulating the expression of the leukemia inhibitory
factor (LIF) gene, which plays a necessary role in the implantation process ( Winship et al ., 2018 ). Human
orthologous of murine double minute 2 (MDM2) is one of the main negative regulators
of P53 ( Chan et al ., 2016a ).
The MDM2 gene contains 12 exons and three promoters, which are located on the long
arm of chromosome 12 in humans, with a length of 34 kb ( Chan et al ., 2016b ).
Numerous studies have identified a variety of polymorphisms in the VEGF gene, some of
these include -2576 A/C and -1154 G/A in the promoter region, and +405 G/C in the
5’UTR and regions of 936 C/T in the 3’UTR, associated with the alteration of VEGF
expression ( Sajjadi et al .,
2020 ). Researchers also looked at the role of VEGF polymorphisms in
embryonic implantation. For example, the association of -1154G/A polymorphism and
repeated implantation failure after IVF has been reported ( Boudjenah et al ., 2012 ). The MDM2 SNP309
contains the T to G conversion in the regulatory region of the first intron. In
SNP309, the G allele tends to increase the binding of the SP1 activator
transcription factor to the DNA, which increases the level of MDM2 and decreases the
p53 activity. Also, the SNP309 is located in an area that is directly regulated by
estrogen signaling. Estrogen preferably stimulates the transcription of MDM2 with
the SNP309G allele ( Hu et al .,
2011 ). To our knowledge, there is no study about the association of VEGF
and MDM2 polymorphisms with RIF in Iranian women.
Because implantation is a complex process and there are many pathways involved, the
study of one pathway is not responsive to repeated implantation failure. Therefore,
two genes that are involved in different mechanisms were selected for this study,
which purpose was to investigate the association between rs1570360 and rs2010963
polymorphisms in the VEGF gene and the rs2279744 polymorphism in the MDM2 gene in
women with the risk of recurrent failures in IVF technique, for the first time in
Iranian women.
Results
A total of 120 women including 60 women with a history of recurrent implantation
failure after IVF embryo transfer (mean age ±SD = 31.72±4.71) and 60
fertile women with at least one live birth, served as controls (mean age ± SD
= 31.91±6.3), were enrolled in this study. There was no significant
difference between the cases and controls concerning the mean age
( p -value=0.8). Also, the mean patients’ BMIs (26.5±4.06)
were not significantly different ( p -value=0.6) from the controls
(26.8±4.6). The mean of recurrent implantation failure was 1.72±0.9
(mean±SD) in the patient group.
The genotype and allelic frequencies obtained in our study were consistent with the
Hardy-Weinberg Equilibrium (HWE) for rs2010963 and rs2279744 in cases
( p -value=0.005 and p -value=0.001,
respectively) and controls ( p -value=0.03 and 0.001, respectively)
( Table 1 ). However, for the rs1570360,
the genotype and allelic frequency were consistent with HWE only for the case group
( p -value=0.001), while for the controls, it was not in
equilibrium with the Hardy-Weinberg law ( p -value=0.9). It is
probably due to the small sample size and high consanguinity, especially Arab
ethnicity, in our study population.
Genotype and allelic frequencies of VEGF and MDM polymorphisms in recurrent
implantation failure and control subjects.
Table 1 also represents the distribution of
the rs1570360, rs2010963, and rs2279744 genotypes and allelic frequencies for cases
and controls.
The frequency of AA (wild type), AG and GG of VEGF rs1570360 was 8.3%, 86.7%, and 5%
in patients, then 11.7%, 43.3% and 45% in controls, respectively. There was a
significant association between the heterozygous AG genotype of VEGF rs1570360 gene
polymorphism and RIF [OR=6.4 (1.22-33.64), p -value=0.001].
The genotypic frequencies of VEGF rs2010963 showed that CC, CG, and GG was 21.7%,
75%, and 3.3% in patients, on the other hand 16.7%, 73.3%, and 10% in controls,
respectively. No significant association was found between VEGF rs2010963 gene
polymorphism and the risk of RIF. However, the variant (CC and CG) genotype
frequencies were more common in the cases as compared with controls. The frequency
of the MDM2 rs2279744 TG genotype was more prevalent in the RIF group, but it was
not statistically different [OR=1.18 (0.3-3.7), p -value=0.7]
between controls and the RIF group.
We checked the genetic model of VEGF and MDM2 polymorphisms in RIF patients and
control subjects to see which model is significantly associated with the risk of RIF
( supplementary material Supplementary Table
2 ). The dominant model of inheritance showed significant association with
variant VEGF rs1570360 genotypes [OR=15.5 (4.3 - 55.2),
p -value=0.0001]; while the recessive model genotypes did not show
any significant association [OR= 0.6(0.2 - 2.3), p -value=0.5]. The
genotype of the VEGF rs2010963 polymorphism did not associate significantly with RIF
under any of the inheritance models ( Table
2 ). For the MDM2 rs2279744 TG genotype variant the dominant model of
inheritance did not represent significant relationship with RIF [OR=0.8 (0.2-2.6),
p -value=0.1].
Haplotype frequencies of VEGF (rs1570360/rs2010963) polymorphisms in
recurrent implantation failure.
To check, whether there was a synergistic effect of polymorphic site interactions on
the risk of RIF, we analyzed the allele combination of the two VEGF polymorphisms
( Table 2 ). Our analyses indicated that
rs1570369/rs2010963 G-G and A-C haplotypes applied synergistic effect on an elevated
risk of RIF [RIF (OR=0.2 (0.075 - 0.56), p -value=0.00089, OR=4.06
(1.45 - 11.32), p -value=0.004, respectively].
Discussion
This investigation deciphered the possible association of MDM2 (rs2279744) and VEGF
(rs2010963, rs1570360) polymorphisms with RIF development in Iranian women. The
genotype and allelic frequency, which is observed only in the polymorphism of the
-1154 G/A VEGF gene, demonstrated a significant difference. These data suggested
that the presence of the A allele is associated with RIF. However, the analysis of
the rs2010963 and rs2279744 in VEGF and MDM2 gene polymorphisms respectively, did
not reveal any significant difference between genotypes in the RIF and control
groups.
In this study, we think that VEGF and MDM2 polymorphisms are confined to endometrial
factors for implantation failure because patients with uterine anomaly and related
medical diseases were excluded, and high-quality embryos were selected for
implantation.
Previous reports showed that VEGF concentration increased during the late secretory
and pre-menstrual phases ( Sugino et
al ., 2002 ). Kong et
al . (2008 ) reported that the rs1570360 (-1154 G/A)
polymorphism affected the serum VEGF level marginally. Goodman et
al . (2008) showed that in females who are experiencing recurrent
implant failure VEGF rs1570360 (-1154A /A) has been observed more frequently than in
fertile females. Therefore, a “low expression” genotype such as VEGF rs1570360
(-1154G/A) would lead to the low concentration of the VEGF protein, which leads to
lower angiogenesis, cytotrophoblast invasion and survival in implant failure.
Because the blastocyst was shown at the implantation time as a source of VEGF, the
correlation between RIF and partner genotypes would be interesting to examine.
Indeed, the reduction in endometrial VEGF could be modulated by a G/G genotype in
the partner because all embryos would be A/G genotype. Conversely, an increase in
RIF might be seen with A/A genotype partners. Moreover, the authors demonstrated
that Polymorphisms of the VEGF gene had been correlated with variation in VEGF
protein production ( Goodman et al .,
2008 ; Kang et al .,
2009 ). Taken together, these data suggest the role of VEGF in
angiogenesis and endometrial decidualization, which is essential for a successful
pregnancy. In contrast to our finding, -1154A/G polymorphism in the VEGF gene had an
insignificant association with increased risk of RIF in the Brazilian population,
according to Vagnini et al .
(2015 ).
Genotype frequency of VEGF rs2010963 between RIF patients and controls was not
significantly different ( p -value=0.7). Conversely, in a study,
Alidadiani & Salehi (2017) showed a
higher frequency of the VEGF +405 GG genotype and the G allele in a patient with a
history of IVF-ET failure. Also, Boudjenah et
al . (2012 ) reported a higher frequency in RIF subjects after
ICSI-ET than in controls. Inconsistent with our result, a study in the Arab
population showed that the serum VEGF concentration was not affected by rs2010963
genotypes ( Al-Habboubi et al .,
2011 ). The controversy between different studies indicated that the VEGF
serum level depends on population and ethnicity.
Based on the effects of genotype and allele frequency of MDM2 rs2279744 on missed
abortion and IVF failure ( Chan et
al ., 2016a ; Fang et
al ., 2009 ), we checked to see the association of this
polymorphism with RIF. Our analysis revealed no significant difference between RIF
and control subjects, which is consistent with Ying Chan et al. The outcomes of some
investigation about the association of VEGF rs2010963, MDM2 rs2279744 polymorphisms
with recurrent implantation failure risk have been contradictory. For example, two
recent studies indicated an association with increased risk of RIF ( Kang et al ., 2009 ; Alidadiani & Salehi, 2017 ), while studies in
Bulgaria and China found no association with RIF risk ( Chan et al ., 2016a ; Fang et al ., 2009 ). Further studies with a
large sample size across diverse ethnic communities should be performed to elucidate
the association between rs1570360, rs2010963, and rs2279744 (MDM2 SNP309 T/G)
polymorphisms and RIF in the Iranian population.
Conclusions
In general, this is the first study, which investigates the association between
rs1570360, rs2010963, and rs2279744 and the prevalence of RIF in the Iranian
population. The findings obtained in the present study demonstrated that the VEGF
rs1570360 polymorphism is associated with the risk of RIF in the studied population.
In particular, the distribution of A allele was significantly higher in RIF cases
than controls and it might affect the pathogenesis of recurrent implantation
failure. This polymorphism may be useful biomarker for predicting individual
susceptibility to RIF. We did not find significant association between rs2010963,
and rs2279744 polymorphisms and RIF. Considering the limitations mentioned above,
further studies are required to verify the functional significance of the VEGF -
1154A allele and how it participates in the pathogenesis of RIF
Materials|Methods
We had 120 women from Arab and Fars ethnicity included in this study (60 women
with a history of recurrent implantation failure after IVF embryo transfer and
60 fertile women with at least one live birth served as controls). Written
informed consent was obtained from all the participating women, and the
Institutional Ethics Committee of the Ahvaz Jundishapour University of Medical
Sciences confirmed the study (Ethics code: IR.AJUMS.REC.1396.572). RIF was
defined in this study as a transfer of a cumulative total of four good quality
embryos with less than 5 mIU/ml hCG serum levels 14 days after embryo transfer.
All transferred embryos were considered to be of good quality by the
embryologist. Patients with a history of autoimmune disease, abnormal uterine
anatomy - based on a laparoscopic examination, ovarian cysts, endometriosis, and
chromosome abnormalities were excluded from the study.
DNA was isolated from whole blood samples (5 ml collected into EDTA tubes) taken
from RIF patients and control subjects. The DNA extraction was performed by a
DNA Extraction Kit (Favorgen Biotech, Taiwan) according to the manufacturer’s
protocol. Genotyping was carried out by restriction fragment length polymorphism
(RFLP) after polymerase chain reaction (PCR) and confirmed by Sanger sequencing.
Supplementary Table 1 shows the
detailed information about the PCR-RFLP procedure ( Baitello et al ., 2016 ; Avirmed et al ., 2017 ; Papazoglou et al .,
2005 ).
The differences in genotype frequencies of the VEGF and MDM2 gene polymorphisms
were analyzed using the Chi-square test. The association between these
polymorphisms and RIF was calculated with 95% odds ratios (OR) and confidence
intervals (CI). A p -value <0.05 was considered statistically
significant. The Mann-Whitney U-test was used to analyze the patients’
characteristics. The Hardy-Weinberg equilibrium was tested in the RIF patients
and controls separately. All statistical analyses were performed using the SPSS
software version 22.0 (SPSS, Chicago, IL, USA). The haplotype frequencies were
estimated using the Haploview 4.1.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.