Intro
Vitamin D (VD) is a fat-soluble steroid hormone, synthesized by the skin, known for
its role in calcium and phosphorus metabolism, and bone remodeling. It is essential
to maintain bone mineral balance ( Irani & Merhi,
2014 ; Rehman et al .,
2021 ; Tian et al .,
2022 ). Its most common form in circulation is 25-hydroxy-vitamin D
(25OH-D), synthesized by the liver, then metabolized in the kidneys by the
1-alpha-hydroxylase enzyme into its active form, 1,25-dihydroxy-vitamin-D
(1,25(OH)2D) ( Irani & Merhi, 2014 ; Hornstein, 2019 ; Makieva et al ., 2021 ). 1,24(OH)2D acts through
its binding to the vitamin D receptor (VDR) ( Rehman
et al ., 2021 ; Tian
et al ., 2022 , Karimi
et al ., 2021 ).
Even though VD classical actions are described in the calcium-phosphate metabolism,
the presence of VDR and enzyme 1 alpha-hydroxylase in the endometrium, ovaries
(granulosa cells and cumulus oophorous), placenta, hypothalamus, and pituitary gland
indicate that VD might play a part in human reproduction. Several studies have been
carried out to elucidate the role of VD in human reproduction, suggesting its
relationship with spermatogenesis, ovarian reserve, follicular development,
embryonic implantation, endometrial thickness, and its correlation with in vitro
fertilization (IVF) ( Rehman et al .,
2021 ; Tian et al .,
2022 ; Hornstein, 2019 ; Neville et al ., 2016 ). In
addition, other studies suggest that VD may influence the anti-Müllerian
hormone (AMH) activity through its 25OH-D form, which would act on AMH type II
receptors (AMHR-2) to inhibit the recruitment and maturation of follicles ( Hornstein, 2019 ; Muscogiuri et al ., 2017 ; Skowrońska et al ., 2022 ; Voulgaris et al ., 2017 ). Hypovitaminosis D is
correlated with insulin resistance, polycystic ovary syndrome (PCOS) and
endometriosis ( Tian et al .,
2022 ; Neville et al .,
2016 ; Dastorani et al .,
2018 ; Cunningham et al .,
2019 ).
VD deficiency is frequently found in women at reproductive age, affecting more than
123 million women and 15% of the infertile population worldwide ( Cozzolino et al ., 2020 ; Fernando et al ., 2020 ; Antunes et al ., 2018 ). It can
be defined as levels below 20 ng/mL, while insufficiency is when those levels are
between 20 and 30 ng/mL ( Irani & Merhi,
2014 ). Although, it is important to emphasize that these definitions were
obtained from data of VD effects in bone remodeling. VD role in reproduction is
still controversial, requiring more studies on the subject ( Abadia et al ., 2016 ; Lv et al ., 2016 ). In our study, we used 30
ng/mL as parameter for the division between the groups, as it is the value referred
by the Endocrine Society of North America ( Irani
& Merhi, 2014 ).
Results
Group 1 had an average plasma VD level of 23.1 ng/mL (ranging from 11.0ng/mL -
29.9ng/mL); while Group 2 had 39.08ng/mL (range 30.0ng/mL - 66.4ng/mL). Table 1 presents the descriptive results of the
continuous variables.
Descriptive results of continuous variables.
= p < .001.
Women in both groups had similar age and anthropometric characteristics (BMI in G1:
25.04±5.53 x BMI in G2: 24.31±6,32), as well as stimulation time and
dosage of gonadotropins used. G1 showed slightly higher AMH levels (2.09) compared
to G2 (1.88), but that it was not statistically significant
( p <0.18) in our study. The number of recruited follicles was
consistent between both groups. Among those ranging from 10 to 14mm, G1 had an
average of 7.31 and G2 7.84 ( p <0.122). When evaluating those
greater than 15mm, G1 had an average of 4.34, while G2 had an average of 4.43
( p <0.169). There were no differences between the numbers of
recovered oocytes (G1 9.03 x G2 9.81 - p <0.105) and MII oocytes
by the end of the stimulation (G1 6.80 x G2 7.46 - p <0.121).
Table 2 presents the results of the six
Generalized Linear Models (Gamma distribution) that tested the impact of vitamin D
on the outcome variables previously described. As we can see, vitamin D was not a
predictor variable in any model tested ( p >.05).
Results of Generalized Linear Models tested (Gamma distribution).
Considering that the Chi-square of the General Model was statistically significant,
evidencing the possibility that the control variables had had a significant impact
on the outcomes. Table 3 shows the results of
the tested control variables, considering the β-regression coefficient of
each model.
Results of control variables tested.
Furthermore, a Spearman correlation analysis was performed between vitamin D levels
and possible outcomes, in addition to other variables such as age, BMI and AMH. The
choice for a non-parametric analysis was made because the variables did not have a
normal distribution ( Table 4 ). The cutoff
points used for interpreting the correlation coefficients: 0.00 - 0.10 = negligible
correlation; 0.11 - 0.29 = weak correlation; 0.30 - 0.49 = moderate correlation and
> 0.50 = strong correlation ( Cohen,
1988 ).
Correlation analysis results.
Vitamin D levels also did not correlate with any of the analyzed variables, except
for a significant inverse correlation with age in the study group ( Figure 1 ).
Figure 1 Spearman Correlation on Vitamin D x Retrieved Oocytes; Vitamin D x M2
oocytes; Vitamin D x Age.
Spearman Correlation on Vitamin D x Retrieved Oocytes; Vitamin D x M2
oocytes; Vitamin D x Age.
Among the causes of infertility, the most common one in both groups was the male
factor, followed by the ovarian factor in G1 and alterations in the female anatomy
in G2. Only 2 patients in the first group and 3 in the second group had PCOS.
Discussion
Vitamin D has been discussed as a possible modifiable factor related to infertility
( Gaskins & Chavarro, 2018 ). There are
receptors for it in the female reproductive system, but its function is still
unclear ( Franasiak et al .,
2017 ; Fichera et al .,
2020 ; Somigliana et al .,
2021 ). Among the possible actions of VD in reproduction, we can highlight
its role in folliculogenesis and oocyte maturation, in addition to embryonic
implantation ( Fichera et al .,
2020 ; Grzeczka et al .,
2022 ). In our study we tried to determine if there is an actual
correlation between plasma levels of vitamin D, follicular growth and oocyte
maturity rates. However, our data shows no such correlation.
Neville et al . (2016)
evaluated 73 men and 64 women, assessing the role of VD in both male and female
reproductive systems. The study found no association between VD levels and each
partner’s variables for IVF outcomes. In our study, a higher rate of recovered
oocytes was found among patients with normal VD levels, but without statistical
significance.
Banker et al . (2017) analyzed
291 patients, including egg donors and recipients, without finding better oocyte
quality results or greater endometrial receptivity in subgroups with replete VD.
Abadia et al. (2016) in their
analysis of 100 women undergoing IVF subdivided its study population in quartiles
according to their 25OH-D status and also found no difference in the number of
retrieved M2 oocytes in each group. They found a significant correlation between
fertilization rates and higher 25OH-D levels; however, they have not analyzed the
partner’s VD status which might prove to be an important confounder. They also did
not find any correlation with clinical pregnancy rates or live birth rates ( Abadia et al ., 2016 ).
In their study, Iliuta et al .
(2022) analyzed 15 articles from 9 different countries and found no
relationship between normal VD levels, the number of oocytes retrieved and
implantation rates. However, there was statistical significance between VD repletion
and biochemical pregnancy, ongoing pregnancy, and live birth rate ( Wu et al ., 2018 ). Like in our
study, there was no improvement in the quantity of oocytes recovered in the group
with VD repletion.
Both Wu et al . (2018) and
Antunes et al. (2018)
have found a direct correlation between VD follicular and plasma levels. However,
while Wu et al . (2018)
encountered a significant higher number of mature oocytes and blastocyst formation
rate in the higher follicular VD group, Antunes et al . found no
significant difference between the number of mature oocytes in both groups and did
not evaluate blastocysts, whilst a higher number of larger follicles (>16mm
diameter) were found in the lower follicular VD group ( Antunes et al ., 2018 ).
It is important to emphasize that in our series, we had only 5 cases of PCOS, since
some authors, such as Várbíró
et al . (2022) and Hu
et al . (2020) , have associated this pathology with a
spontaneous decrease in the chance of ovulation. In these patients, the probability
of ovulation correlates with the level of VD, being 68% in cases of deficiency, 77%
if insufficiency and 78% when the level is normal ( Hu et al ., 2020 ). We stipulate that this fact is due to
the apparent relationship between the normal level of VD and the improvement in
insulin resistance, present in this pathology ( Hu
et al ., 2020 ; Shahrokhi et al ., 2016 ).
In a retrospective analysis, Ko et
al . (2022) found a direct correlation between lower
cumulative live birth rates of a single IVF stimulation cycle and deficient plasma
25OH-D levels prior to ovarian stimulation. Despite that, the total number of
retrieved oocytes and mature oocytes was similar between both groups, which is the
same finding reported in our current research.
Some studies show that patients with VD deficiency are less successful with IVF and
report more frequent miscarriages and lower live birth rates ( Várbíró et al ., 2022 ;
Bezerra Espinola et al .,
2021 ; Cyprian et al .,
2019 ). Zhao et al.
(2018) performed a meta-analysis encompassing 9 studies, reinforcing this
data, since they found a higher rate of live births in patients with normal VD.
However, in a more recent meta-analysis, Cozzolino
et al . (2020) found no correlation between IVF
clinical outcomes and serum VD levels. Also, Zhou
et al. (2022) showed that there is no benefit in
performing vitamin D replacement for subsequent treatment.
The strengths of this study include the specific analysis of VD influence over
follicle maturation in IVF cycles, as well as the number of subjects analyzed. There
is still a lot of controversies on which parts of the fertilization process VD might
play a significant role, and, with this study design we could evaluate its role
directly on follicular and oocyte development in ovarian stimulation cycles. Another
important point to highlight is that several common confounders that could influence
our results were balanced between our two groups, which was the case with obesity,
age and AMH.
Despite its strengths, it is important to highlight the potential weaknesses in our
study, mainly the retrospective nature of the design, as well as the lack of report
on clinical outcomes, such as implantation rates, clinical pregnancy rates or even
live birth rates. Although, as explained before, our focus was specifically on VD
influence on the oocyte and follicle to avoid potential biases.
Another important point to emphasize is the chosen cutoff values of serum VD
according to those from the Endocrine Society of North America, and not those from
the Institute of Medicine, which would be higher or lower than 20ng/mL ( Ross et al ., 2011 ). In our
study population, most patients supplemented vitamin D previously before arriving at
our center for IVF treatment start. This could be an explanation for almost no
patients having presented serum VD levels below 20ng/mL before ovarian stimulation
began, both study groups presented average levels higher than 20ng/mL. Specific
analysis comparing a group with lower than 20ng/mL serum VD with another with higher
than 30ng/mL serum VD might have shown different results. However, at least in a
Brazilian population, we found it difficult to enroll patients with a deficient
state of serum vitamin D (<20ng/mL) before starting IVF treatment.
Regarding patients using VD supplementation, it should be noted that all VD samples
were collected up to 3 months from the starting day of the ovarian stimulation onset
date. Although this is another potential bias for the study, we understand that its
analysis was performed in proximity to the IVF cycle and could very well reflect the
actual VD plasma levels of the patients during the stimulation period. To mitigate
potential alterations of the VD plasma levels from the time that VD was evaluated,
and there were no changes on already started supplementations, neither were any type
of supplementation started after the blood sample was collected.
Conclusions
The results of our study showed no difference among number of follicles, oocytes
retrieved, and mature oocytes obtained after the ovarian stimulation, when VD plasma
levels of 30ng/mL were predefined as the benchmark values for optimal reproductive
outcomes. However, VD may act in other stages of fertilization, such as implantation
rates, clinical pregnancy rates, as well as, live birth rates, or even in the
studied outcomes if groups with lower plasma levels were to be compared. Therefore,
further studies on the subject and better evaluation of the IVF process with
different VD cutoff values should be pursued.
Materials|Methods
Retrospective study of 267 patients, between 29 and 40 years old, undergoing IVF at
the Fertipraxis clinic between January 2017 and December 2020. The patients were
divided into 2 groups. Group 1 (G1) is made up of 152 patients with insufficient or
deficient vitamin D levels (less than 30 ng/mL). Group 2 (G2), has 115 patients with
normal levels of vitamin D (greater than ≥ 30 ng/mL).
All our VD plasma level samples were obtained together with the couple’s blood tests
for the required serologies according to the Brazilian regulatory norms for IVF.
Therefore, all VD evaluations were collected up to three months from the beginning
of the stimulation cycles. The patients that were supplementing VD, kept on doing so
without changes in their supplementation protocol. No patients started new VD
supplementation based on the presented VD levels.
Ovarian stimulation was performed with combinations of FSH and LH
(Menopur ® , Ferring Switzerland and
Pergoveris ® , Merck, Germany) ranging from 150UI to 300UI a
day, according to clinical demands. Pituitary blockage was achieved using Cetrorelix
Acetate (Cetrotide®, Merck, Germany), initiated when the largest follicle
reached 14mm.
Initially, we ran a descriptive analysis of vitamin D, oocytes retrieved, M2 mature
oocytes by the end of stimulation, follicles ≥ 15mm, follicles between 10-14
mm, total FSH administered, stimulus duration, presence of endometriosis, BMI, AMH
level and age.
Subsequently, 6 Generalized Linear Models using the Gamma distribution were run to
test the impact of vitamin D on the variables mentioned above. The Gamma
distribution was chosen because the outcome variables were not normally distributed
according to the Kolmogorov-Smirnov test. The analysis was performed using the SPSS
for Windows version 23 software.
The primary objective of this study was to compare the number of oocytes retrieved
and mature oocytes among both groups. The secondary objective was the analysis of
the difference between duration of stimulation, quantity of gonadotropins used and
follicular size.
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