Intro
The prevalence of infertility is on the rise, affecting approximately 15 to 20% of
couples of reproductive age. This condition has medical, social and even financial
implications for couples. With the advent of assisted reproduction techniques such
as in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI), several
causes of infertility have been successfully managed, and thousands of patients have
benefited and are still benefiting from this technological evolution. Currently,
approximately 5% of all births in developed countries are due to the IVF procedure
( Gearhart & Coutifaris., 2010 ; Altmäe et al., 2011 ).
The demand for reproductive treatments has increased significantly in recent years,
and there is a desire to develop more effective and less harmful protocols for
patients. Despite the advances in reproductive medicine, the pregnancy rate remains
close to 35% per treatment performed. In IVF/ICSI cycles, the expected results
depend primarily on the effectiveness of the controlled ovarian stimulation (COS), a
routine procedure that precedes IVF/ICSI, in which exogenous gonadotropins are used
to induce the development of multiple ovarian follicles ( Macklon et al., 2006 ; Altmäe et al., 2011 ).
Protocols of COS involve the use of several gonadotropins, including recombinant
follicle-stimulating hormone (r-FSH), which has a fundamental role in this process.
Several studies have shown high variability in clinical outcomes between patients
undergoing COS using r-FSH. This unpredictable variability in the ovarian response
to gonadotropins, especially FSH, is one of the great challenges of assisted
reproduction programs, with ovarian responses that can vary from poor to high,
resulting in cancellations and complications such as ovarian hyperstimulation
syndrome (OHSS). Therefore, the development of tools that make it possible to
predict the ovarian response to stimulation is fundamental for the success and
safety of IVF/ICSI treatments ( Coccia &
Rizzello, 2008 ; Twigt et al.,
2011 ).
Several parameters have been used in the evaluation of the ovarian reserve and as
possible predictors of the ovarian response for patients who aim for reproductive
therapy, such as the woman’s age, her serum level of anti-Mullerian hormone (AMH)
and her antral follicle count (AFC) by transvaginal ultrasound. In addition to these
factors, polymorphisms in several genes have been studied to find genetic markers
that can predict ovarian reserve and/or ovarian response, including polymorphisms in
the follicle-stimulating hormone receptor (FSHR) gene, located on chromosome 2
( de Castro et al., 2004 ; Loutradis et al., 2008 ; Morón & Ruiz, 2010 ; Lalioti, 2011 ; Boudjenah et al.,
2012 ; Desai et al., 2013 , Alviggi et al., 2018 )
FSH acts through FSHR, which is present in the plasma membrane of granulosa cells.
For some years, the occurrence of polymorphisms in FSHR has been studied and
reported in infertile women. Some mutations, such as Ile160Thr, Ala189Val, and
Asn191Ile, are associated with complete inhibition of FSHR activity. However, there
are numerous single-nucleotide polymorphisms (SNPs) located in the introns, coding
region and promoter region of FSHR that are associated with receptor dysfunction,
including the Ala307Thr polymorphism. The Ala307Thr polymorphism of the FSHR gene is
located in exon 10, in the area that encodes its extracellular domain in the FSH
binding area ( Achrekar et al., 2009a ; Overbeek & Lambalk, 2009 ; Karakaya et al., 2014 ). Considering that
partial interference in FSHR function may result in variability in FSH action, a
better understanding of FSHR polymorphisms would become a useful tool in predicting
ovarian response in treatments involving assisted reproduction techniques. However,
studies in different ethnic groups have observed conflicting results regarding a
correlation between that polymorphisms and FSHR function ( Klinkert et al., 2006 ; Mohiyiddeen et al., 2012 ; Polyzos et
al., 2021 ; Conforti et al;
2022 ).
The observation that the polymorphism at position 307 in FSHR affects sensitivity to
FSH is extremely relevant, as this region that mediates hormone action has already
been shown to be crucial in in vitro events involving the production of cyclic AMP
in response to FSH. Although several studies have been published regarding the
effect of FSHR polymorphisms on ovarian response, most of those studies included a
small number of patients and heterogeneous treatment protocols. Therefore, the
available studies could not adequately estimate the real effect of SNPs on ovarian
response ( Perez-Mayorga et al., 2000 ; Behre et al., 2005 ; Achrekar et al., 2009b ; La Marca
et al., 2013 ; Trevisan et al.,
2014 ; Alviggi et al., 2018 ; König et al., 2019 ; Song et al., 2019 ).
Considering that different protocols of ovarian stimulation have been used to induce
growth in the number of follicles, thereby increasing the number of viable oocytes,
and that the ovarian response to FSH depends on the FSHR genotype, identifying
polymorphic variants of this receptor, such as at position 307, can be a useful tool
to predict individual responses to COS with the use of gonadotropins and can help in
the development of individualized protocols in IVF/ICSI programs.
The aim of the present study is to determine whether there is any association between
the Ala307Thr polymorphism of the FSHR gene (rs6165) and ovarian response during COS
in IVF/ICSI cycles. In addition, we aimed to determine whether there is an
association between the Ala307Thr polymorphism of the FSHR gene, ovarian reserve and
clinical outcomes in an IVF/ICSI cycle.
Results
Hardy–Weinberg equilibrium
Genotype and allele distributions in the patients and the controls conformed to the
expectations under Hardy–Weinberg equilibrium.
Basic demographic characteristics, such as age, BMI (body mass index), and cause
and duration of infertility, were not significantly different between women with
different FSHR Ala307Thr (rs6165) genotypes ( Table 1 ).
Main characteristics of infertile women, according to their FSHR gene
Ala307Thr (rs6165) genotype.
ORPI: [AMH(ng/ml) × AFC (n/2-9mm)]/age (years).
An association between the genotype of the Ala307Thr polymorphism and the dose of
r-FSH was observed. Patients with the Ala/Ala genotype received a higher r-FSH
dose than patients with the Ala/Thr ( p =0.0002) or Thr/Thr
( p =0.02) genotype ( Table
2 ).
Ovarian stimulation cycle characteristics of the study population
according to FSHR gene Ala307Thr (rs6165) genotype.
a , b Values within rows with the same
superscript letter were significantly different.
The distribution of the other characteristics of the ovarian stimulation cycle,
such as the number of follicles on the hCG day, total number of oocytes
retrieved, total number of metaphase II oocytes, and failed oocyte retrieval,
did not differ by Ala307Thr (rs6165) genotype.
Clinical outcomes such as implantation rate, pregnancy rate, miscarriage rate,
and cumulative live birth rate were not significantly different according to
Ala307Thr (rs6165) genotype ( Table
3 ).
Clinical outcomes of the study population according to FSHR gene
Ala307Thr (rs6165) genotype.
Discussion
FSH is essential for follicular growth in females and spermatogenesis in males. It
acts through its specific β-subunit, as its heterodimeric molecule also has
an alpha-subunit that is common to other glycoprotein hormones (LH, hCG, TSH). FSH,
when in the ovaries, binds to its cognate receptor FSHR, which belongs to the family
of G-protein coupled receptors. The interaction with this receptor allows FSH to
exert its activity in the female reproductive tract. Initially, folliculogenesis is
promoted through estradiol production by the aromatase enzyme system, with granulosa
cell growth and induction of LH receptors. In mid-cycle, the peaking of LH and FSH
together induces essential actions leading to the rupture of the follicular wall
during the ovulatory process. Finally, in the early follicular and proliferative
phases, FSH recruits new antral follicles for the next cycle of folliculogenesis.
Considering the fundamental role of FSH in the female reproductive tract, especially
in folliculogenesis, pharmaceutical models of FSH are used in assisted reproduction
treatments with the objective of multifollicular growth. Ovarian follicular activity
and ovarian response to exogenous FSH appear to be influenced by specific gene
expression of gonadotropins and their receptors ( Yoshimura & Wallach, 1987 ; Yong et
al., 1992 ; Palermo, 2007 ; Conforti et al., 2019 ).
Several activating or inactivating variants of FSHR have already been identified. The
most clinically relevant inactivating variants are located in exons 7 and 10. The
resulting phenotypes are varied, with the most typical clinical manifestations
including elevated serum FSH levels, amenorrhea and infertility. The clinical
manifestations of inactivating variants of the FSHR gene, unlike activating
variants, occur only when present in homozygous or compound heterozygous forms
( Orio et al., 2006 ; Desai et al., 2013 ). In 2000, Perez-Mayorga et al. (2000) demonstrated that the FSHR genotype plays a
fundamental role in the physiological responsiveness of a given tissue to FSH
stimulation.
Single-nucleotide polymorphisms located within or near the gene encoding FSHR have
been shown to affect its sensitivity and expression to gonadotropins ( Wunsch et al., 2005 ; Nakayama et al., 2006 ; Busch et
al., 2016 ). Eight polymorphisms are present in the coding region, and
only two of them have been extensively studied and confirmed to be related to
clinically relevant phenotypes in assisted reproduction treatments. The
polymorphisms present at positions p.Asn 680 Ser (rs6166) and
p.Thr 307 Ala are related to the ovarian response to FSH stimulation.
These two polymorphisms are present in exon 10 and are the predominant isoforms in
several populations; therefore, they are the focus of most studies on this topic
( Desai et al., 2013 ).
As FSH is essential in follicular growth, it is used for controlled ovarian
stimulation during IVF/ICSI protocols. However, similar protocols of ovarian
stimulation with exogenous FSH result in variable ovarian responses, from poor to
too strong responses. Several parameters have been tested as markers to predict the
ovarian response, such as age, hormonal biomarker (AMH) and ultrasound (AFC).
However, the constant challenge for clinicians is to determine the optimal dose of
FSH capable of generating a satisfactory and safe ovarian response in ART cycles
( Kligman & Rosenwaks, 2001 ; Nardo et al., 2009 ; Desai et al., 2013 ). As a genetic biomarker, FSHR genotype
could be useful to predict ovarian response and help clinicians to define the best
protocol and dose of gonadotropin for ovarian stimulation. To the best of our
knowledge, there are no data on the correlation between the rs6165 polymorphism and
the total dose of gonadotropin required during ovarian stimulation.
There are studies supporting the role of the FSH rs6166 variant as a predictor of
ovarian response to FSH stimulation. The Ser/Ser variant at position 680 of the FSHR
gene was related to decreased ovarian reserve, a higher total dose of gonadotropin
required for ovarian stimulation, and a lower number of oocytes collected in
IVF/ICSI cycles ( Perez-Mayorga et al., 2000 ;
Sudo et al., 2002 ; Behre et al., 2005 ; Jun et al., 2006; Alviggi et al., 2016 ; Alviggi
& Conforti, 2022 ). On the other hand, studies on the FSHR rs6165 SNP
(p.Thr307Ala) and its relationship with the ovarian response to FSH stimulation are
scarce ( Conforti et al., 2022 ). According to
our results, the FSHR (Thr 307 Ala, rs6165) polymorphism was associated
with a statistically significant increase in the total dose of r-FSH required during
ovarian stimulation.
Some studies suggest that carriers of the Thr/Thr variant at position 307 of the FSHR
gene have greater activation of FSHR, so their duration of controlled ovarian
stimulation would be shorter than that needed for carriers of Thr/Ala and Ala/Ala
variants ( Trevisan et al., 2014 ; Alviggi et al., 2018 ). In addition to these
data, a meta-analysis and two subsequent studies showed that patients carrying the
Ala/Ala variant of the FSHR gene (rs6165, p Thr307Ala) produced a smaller number of
mature oocytes than those carrying the Thr/Ala and Thr/Thr variants ( Achrekar et al., 2010 ; Yan et al., 2013 ; Motawi et
al., 2017 ; Alviggi et al., 2018 ).
In contrast to these data, the current study showed no significant difference in the
characteristics of the IVF/ICSI cycle—stimulation time in days, total number of
oocytes collected, or number of oocytes in metaphase II—between FSHR genotypes.
In a Chinese study ( Yan et al., 2013 )
including 450 women who were categorized according to ovarian response (poor 14 oocytes retrieved),
the poor ovarian responders included significantly more Ala/Ala carriers than
Thr/Thr or Thr/Ala carriers ( p <0.001). This corroborates the
findings of the present study, in which the Ala/Ala women required higher doses of
r-FSH.
Studies related to the FSHR rs6165 polymorphism have provided limited information
regarding clinical outcomes, although they have found no significant between the
Ala/Ala, Thr/Thr and Thr/Ala genotypes ( Conforti et
al., 2022 ). These findings are consistent with the results of the present
study, in which there was no association between FSHR genotype and implantation
rate, pregnancy rate or live birth rate.
In this prospective study, we observed that the homozygous Ala/Ala genotype at
position 307 of the FSHR gene is associated with the need for a higher dose of
recombinant FSH and therefore probably leads to a decrease in the sensitivity of
FSHR to gonadotropins. These data demonstrate that FSHR genotyping could be a useful
tool in pharmacogenetics for the clinician to identify patients who, regardless of
traditional ovarian reserve tests (e.g., AMH and AFC), may require a greater dose of
FSH during ovarian stimulation in the ART cycle.
The availability of pharmacogenetics is important since anthropometric
characteristics and ovarian reserve tests are not capable of predicting the ovarian
response to stimulation with exogenous FSH. Some patients, instead of demonstrating
satisfactory hormonal and ultrasonographic biomarkers of ovarian reserve or adequate
ORPI (ovarian response prediction index), have poor ovarian response with a
suboptimal number of oocytes obtained and consequently worse prognosis of their ART
cycles ( Oliveira et al., 2012 ; Alviggi et al., 2018 ; Conforti et al., 2019 ).
Conclusions
In conclusion, the FSHR gene Ala/Ala genotype at amino acid position 307 was
associated with the use of higher doses of r-FSH, suggesting that homozygosis of
this allelic variant (Ala) provides lower sensitivity to r-FSH. Therefore, FSHR gene
genotyping and the identification of Ala307Thr (rs6165) SNPs can be used as an
additional tool in the individualization of ovarian stimulation protocols.
Materials|Methods
A cross-sectional study was conducted between 2020 and 2022, with 450 Brazilian
women undergoing their first IVF/ICSI treatment in the Human Reproduction Center
(CRH) – Prof. Franco Jr. This center provided the data of the tests performed
for IVF/ICSI treatment: genotypic markers that do not present additional risk in
the treatment routine, since they are obtained through a peripheral blood sample
already collected to perform routine tests such as the serum dosage of
anti-Mullerian hormone (AMH). The AMH measurement and SNP genotyping were
carried out at the Paulista Centre for Diagnosis, Research, and Training (CPDP).
The AFC was performed by the mentioned centers.
Inclusion criteria
The inclusion criteria were age ≤37 years; regular menstrual cycle; normal
karyotype; the observation of two ovaries on transvaginal ultrasound; and the
absence of hydrosalpinx, previous ovarian surgeries, endometriosis, infection,
or endocrinological disorders.
The ovarian stimulation protocols that were used for patients undergoing IVF/ICSI
cycles were restricted to two models, GnRH antagonist and GnRH agonist
protocols.
DNA was extracted from a peripheral blood sample, and the FSHR Ala307Thr
polymorphism (rs6165) was genotyped as described below. The results obtained
were tested for correlations with the patient’s age, body mass index (BMI),
level of HAM, CFA, total dose of rFSH, size of ovarian follicles, number of
oocytes collected, and clinical outcomes of IVF/ICSI cycles (ongoing pregnancy
rate).
The subjects were dichotomized based on their genotype of the Ala307Thr
polymorphism of the FSHR gene: homozygotes (Ala/Ala and Thr/Thr) and
heterozygotes (Ala/Thr).
Patients underwent transvaginal ultrasound during the follicular phase in cycles
prior to IVF/ICSI. The ultrasound marker used in this study was the AFC. The
total number of antral follicles measuring between 2 and 9 mm in both ovaries
was used to evaluate these patients.
Anti-Mullerian hormone measurements were performed in peripheral blood using the
second-generation modified kit from Beckman Coulter Inc. (GenII ELISA
kit/Beckman Coulter Inc., ref A73818) following the manufacturer’s
instructions.
To minimize the risks of error in this assay, the same operator performed all
tests, and standard high- and low-level controls were included to certify the
validity of the assay. Prior to this research, the average values of the
intra-assay and interassay coefficients of variation for this exam were
calculated. The values obtained were 3.3% and 6.5%, respectively. The minimum
detectable value of AMH was 0.01 ng/mL.
Genomic DNA was extracted from peripheral blood samples of all subjects following
the guidelines of the manufacturer of the QIAamp DNA blood mini kit (Qiagen)
extraction kit. Polymorphisms (SNPs) of genes preselected through
next-generation sequencing (NGS) were used for genotyping. SNP rs6165 of the
FSHR gene was geno-typed by real-time polymerase chain reaction (PCR) using
TaqMan assays (Applied Biosystems). The mix for the real-time PCR was composed
of 1 µL of genomic DNA (100 ng/µL), 5 µL of Master Mix
Universal TaqMan (Applied Biosystems), 0.5 µL of probe and 3.5 µL
of DNase-free water. The protocol for amplification had the following steps:
denaturation at 95 °C for 10 min, followed by 40 cycles of 92 °C for 15 s and 60
°C for 1 min. The thermal cycler used was the StepOnePlus Real Time PCR machine,
which is part of the CPDP permanent material. PCR products were analyzed using
TaqMan Genotyper v1.3 (ABI) software.
The primary endpoint was the total dose of gonadotropin (r-FSH) required during
the first IVF/ICSI cycle.
To calculate the sample size needed, the dose of r-FSH was used as the primary
result. Sample size was calculated by performing a comparison between three
means±standard deviations. A sample size of 84 subjects in each group had
80% power to detect an increase/decrease of 50% at a significance level of
0.05.
Categorical variables are expressed as percentages, and quantitative variables
are expressed as mean and standard deviation. In cases where distribution with a
nonnormal pattern was observed, the median and interquartile range were used. In
situations where the variables presented distributions with extreme deviations,
data transformation was performed on the variables that were included in the
linear or logistic regression models. For the comparison of categorical
variables, Fisher’s test was used to detect differences between two groups, and
the chi-square test was used to detect differences between several groups. For
the comparison of unpaired continuous variables, the parametric Student’s t test
was used when comparing two groups and analysis of variance (ANOVA) when
comparing three or more groups, applying the Bonferroni posttest for multiple
comparisons.
Linear and/or multiple logistic regression was used, depending on the nature of
the outcome for comparison between groups. For all tests used, a
p value <0.05 was considered statistically significant.
Contingency tables containing the combinations of all analyzed parameters were
constructed to classify the ovarian reserve, thus establishing the specificity,
sensitivity and agreement between the methods. Data analysis and construction of
graphs presented in the results were performed using the StatsDirect version
2.7.9 program.
Written informed consent was obtained from all patients included in this trial.
Authorization by the FAMERP Ethics Committee in Research (CAAE
60245216.0.0000.5415).
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