Intro
Autoimmune thyroid diseases represent the most common autoimmune disorders in humans,
especially in women of reproductive age ( Orgiazzi,
2012 ; Jacobson et al .,
1997 ; Golden et al .,
2009 ). More often, this immune dysfunction selectively affects only the
thyroid, but, in many cases, autoimmune thyroid diseases are associated with one or
more organ-specific autoimmune dysfunctions. For instance, 12% to 40% of women with
premature ovarian failure (POF) are diagnosed with autoimmune thyroid disease ( Kirshenbaum & Orvieto, 2019 ).
The occurrence of POF is usually a gradual process characterized by a progressive
decline in ovarian reserve. The mechanisms behind this decline are still being
elucidated, but the most studied are a reduction in the number of primordial
follicles, an accelerated process of follicular atresia and alterations in the
recruitment and maturation of primordial follicles ( Persani et al ., 2010 ). The ovarian reserve represents
the number of follicles still present in the ovaries. Characteristically, it is
influenced by age, genetics, and environmental factors. The antral follicle count
(AFC) and the anti-müllerian hormone (AMH) levels reflect the number of
follicles still present in the ovaries and are the most frequently used tests to
assess ovarian reserve ( Tal & Seifer,
2017 ).
Although it is not yet possible to determine the rhythm of ovarian reserve decline on
an individual level, knowledge of its behavior enables counseling on women’s
reproductive planning. Gonadotoxic oncological treatments, genetic alterations such
as mosaic for Turner Syndrome and Fragile X Syndrome, and benign pathologies, such
as endometriosis and autoimmune oophoritis, constitute medical indications for
fertility preservation, since they represent risk factors for a more accelerated
impairment of follicle loss ( Ferraretti et
al ., 2011 ). Therefore, in these cases, a more rigorous and
specialized follow-up of these women should be indicated.
An association between thyroid autoimmune disease and premature ovarian failure has
been reported by some authors ( Dittmar & Kahaly,
2003 ; Sleiman et al .,
2019 ; Dolmans & Manavella,
2019 ). There is evidence that antithyroid antibodies are found in the
follicular fluid depending on their serum concentrations ( Hoek et al ., 1997 ). Although such
intrafollicular antibodies may exert some influence on folliculogenesis, the
mechanism of action in oocytes, granulosa cells, or ovarian stromal cells is still
unclear ( Betterle et al .,
1993 ). In addition, the studies assessing the impact of TAI on the
velocity of ovarian reserve decline have presented divergent results, and the
current evidence does not enable a definitive conclusion regarding this association
( Shah et al ., 1995 ;
Weghofer et al .,
2016 ).
Therefore, it is of paramount importance to have a better understanding of the
behavior of ovarian reserve in women with TAI in order to provide personalized
reproductive planning and fertility preservation techniques before POF is
established. This study aims to compare the ovarian reserve of women of reproductive
age with and without TAI using AMH and AFC values.
Results
A total of 188 women were eligible for analysis of their medical records, 63 (33.5%)
of whom were diagnosed with TAI and 125 (66.5%) were controls ( Figure 1 ). The mean age of the women included in the study was
36 years, with no difference between the groups. More than 50% of women were
classified as having normal BMI, with no difference between women with TAI and the
control group ( Table 1 ).
Baseline characteristics of participants.
by Student’s t test;
by Fisher-Freeman-Halton test;
by Chi-square test;
by Fisher´s exact test.
Figure 1 Participants capture flowchart. Anti-TPO=anti-thyroperoxidase;
anti-Tg=anti-thyroglobulin; AMH=anti-Mullerian hormone; ACF=antral
follicle count; TAI=thyroid autoimmunity.
Participants capture flowchart. Anti-TPO=anti-thyroperoxidase;
anti-Tg=anti-thyroglobulin; AMH=anti-Mullerian hormone; ACF=antral
follicle count; TAI=thyroid autoimmunity.
Regarding the reason for seeking the assisted reproduction clinic, in general, 71.8%
of the women sought because of a diagnosis of infertility and there was no
statistical difference between the groups. Likewise, no difference was found in the
prevalence of the causes of infertility between the groups. In addition, the overall
prevalence of endometriosis was 25.5%, and the diagnosis of other autoimmune
diseases was 3.7%. Both variables had a similar distribution between the groups
( Table 1 ). Furthermore, the median TSH
levels, as well as the mean FT4 levels, were similar between the groups ( Table 2 ).
Thyroid function, ovarian reserve markers and antithyroid antibodies presence
between TAI and control groups.
by Mann Whitney test;
by Student’s t test;
by Fischer’s exact test.
Regarding the participants included in the TAI group, 56% presented only anti-TPO
positive, 19% presented only anti-Tg positive and 25% presented both antibodies
positive ( Table 2 ). Concerning the ovarian
reserve markers, no statistically significant differences were found when the
medians of AMH (TAI: 1.0 ng/mL vs . control: 1.5 ng/mL,
p =0.37) and AFC (TAI: 10 follicles vs .
control: 11 follicles, p =0.68) were compared between groups ( Table 2 ). Moreover, no correlations were found
between ovarian reserve markers (AMH and AFC) and thyroid function (TSH and FT4)
( Table 3 ). A multivariate regression
analysis indicated age ( p <0.001) and the presence of other
autoimmune diseases ( p =0.035) were the only variables independently
associated with low ovarian reserve ( Table
4 ).
Spearman correlation coefficients between ovarian reserve markers and thyroid
function markers.
Spearman correlation coefficient .
Results of Poisson multivariable regression models to identify variables
associated with ovarian reserve.
When we performed a subgroup analysis by age, we observed that women aged over 39
years showed a trend of lower AMH levels in the TAI group when compared to women of
the same age in the control group (0.9 ng/mL vs . 1.5 ng/mL,
p =0.08) ( Table 5 ). In
addition, in the subanalysis based on the presence of antithyroid antibodies, a
lower median AFC was found in the group that had the antithyroglobulin antibody in
comparison to the participants without this antibody (8.0 follicles
vs . 11.5 follicles, p =0.036) ( Table 6 ). Similarly, when participants were
classified according to ovarian reserve, those with low reserve had a higher
prevalence of positive anti-Tg antibody compared to the group with normal ovarian
reserve (60.7% vs . 39.3%, p =0.038) ( Table 7 ).
Ovarian reserve markers by age categories.
by Mann Whitney test
Association between ovarian reserve markers and antithyroid antibodies.
ng/mL;
number;
Mann-Whitney’s test.
Bivariate analysis of association between ovarian reserve and biological,
clinical and laboratory variables.
According to Poseidon´s criteria: low ovarian reserve=AMH < 1.2 ng/mL
and/or AFC < 5 follicles;
by Wald test;
Obesity=IMC ≥ 30 (Kg/m 2 )
Discussion
The present study compared the ovarian reserve of women of reproductive age with TAI
(positive anti-TPO and/or positive anti-Tg) to the ovarian reserve of women who had
negative antibodies. For this, we used the two main ovarian reserve markers, AMH and
AFC; and we found an association between lower AFC and the presence of anti-Tg
antibodies in women with TAI. In addition, when classifying women’s ovarian reserve
as normal or low, we found a higher prevalence of positive anti-Tg in the low
ovarian reserve group.
When a multivariate regression analysis was performed to reduce possible interference
between the variables, we observed that age and the presence of other autoimmune
diseases were independently associated with low ovarian reserve. However, as there
were no differences regarding the mean age or the prevalence of other autoimmune
diseases between the groups, this result does not compromise our analysis.
There are reports in the literature that 80% of women with idiopathic POF having a
family or personal history of autoimmune diseases, and that 50% of them also have
high levels of anti-Tg antibody ( Košir
Pogačnik et al ., 2014 ). However, despite the
association that may exist between POF and autoimmune thyroid disease, studies that
assess the ovarian reserve of women with TAI have found contradictory results.
In our study, we observed that 19% of women with TAI were only positive for anti-Tg,
a significant prevalence that reinforces the need for the evaluation of this
antibody in the investigation of autoimmune thyroid disease. Other studies also
evaluated the presence of both antibodies ( Tuten
et al ., 2014 ; Saglam
et al ., 2015 ; Chen
et al ., 2017 ; Öztürk Ünsal et al ., 2021 ; Korevaar et al ., 2018 ; Ke et al ., 2020 ; Osuka et al ., 2018 ). However,
among them, only two ( Tuten et al .,
2014 ; Ke et al .,
2020 ) evaluated the two main markers of ovarian reserve for comparison
between groups.
The study by Tuten et al .
(2014) reported a positive correlation between AMH and antithyroid
antibodies and no difference regarding AFC. A similar finding in women of
reproductive age was published by Korevaar
et al . (2018) , who demonstrated higher AFC in women
with TAI, but did not use the AMH as a marker of ovarian reserve. In the literature,
only studies including adolescents described similar findings ( Erol et al ., 2016 ; Pirgon et al ., 2016 ).
Conversely, the study by Ke et al .
(2020) did not find an association between TAI and ovarian reserve
markers; however, the mean age of women in this study was 30 years, which is lower
than that in our study and in most studies that reported negative associations
( Saglam et al ., 2015 ;
Chen et al ., 2017 ; Bahri et al ., 2019 ). Another
important point in relation to this study is that the criteria used to classify low
ovarian reserve was the FSH level, which is the latest marker to be affected,
compared to AFC and AMH.
Another study included almost 5000 women and also did not find a link between TAI and
low ovarian reserve ( Polyzos et
al ., 2015 ). However, they did not investigate the anti-Tg
antibody and evaluated AMH as a single marker of ovarian reserve. In addition, the
study included mostly young women with a mean age of 32. A Japanese study also
demonstrated no negative influence of the antibodies on the ovarian reserve;
however, the authors reported a tendency towards lower levels of AMH in the presence
of anti-TPO ( Osuka et al .,
2018 ). In contrast, several others found a negative association between
antithyroid antibodies and ovarian reserve markers, as did our study ( Saglam et al ., 2015 ; Chen et al ., 2017 ; Öztürk Ünsal et
al ., 2021 ; Bahri et
al ., 2019 ; Samsami
et al ., 2020 ).
Reviewing the literature, we found a high heterogeneity between studies regarding the
diagnostic criteria for TAI (one or two antibodies) and the markers used to assess
ovarian reserve. It is possible that this heterogeneity contributes to the diversity
of results found. Another relevant factor, which apparently has contributed to the
disagreement between our findings and those from some similar studies, is the age of
the participants. A recent meta-analysis compared the AMH levels of women with TAI
to control groups, stratifying the analyzes based on the age of the participants
( Hasegawa et al ., 2021 ).
Five studies evaluated women of reproductive age and two included only adolescents.
The results demonstrated that when only adult women were included, AMH levels tend
to decline in the group with positive antibodies, whereas in the adolescent
population, AMH levels were substantially higher in the group with positive
antibodies. A limitation of this meta-analysis was the assessment of ovarian reserve
only by AMH levels.
This limitation was addressed by a more recent meta-analysis that included 35 studies
using AMH levels, AFC, and/or FSH levels to clarify the relationship between TAI and
ovarian reserve ( Li et al .,
2022 ). The authors reported no significant difference between the ovarian
reserve markers of women with TAI and the control group. However, in the subgroup
analysis, women of reproductive age with TAI showed a statistically significant
reduction in AMH levels and AFC, as well as higher baseline FSH levels when compared
with the age-matched control group. In addition, there was an association between
POF and the presence of anti-TPO in the group of women of reproductive age.
Conversely, our study demonstrated a significantly higher prevalence of positive
anti-Tg in the group with low ovarian reserve, with no difference in the prevalence
of anti-TPO. However, the classification criteria used to characterize the group
with a low ovarian reserve are not described in the meta-analysis, which could
explain the difference in results.
The two aforementioned meta-analyses suggest that there is a negative correlation
between TAI and ovarian reserve in adult women, concluding the opposite for the
adolescent population, which seems to have a greater reserve. This reinforces the
hypothesis that the impact of antibodies on ovarian reserve must be insidious, as
shown by the trend towards lower levels of AMH in the group of women over 39 years
of age found in our study. This data is important and should be further clarified in
future studies, in view of the postponement of motherhood ( Martin et al ., 2012 ), giving these women the
opportunity to evaluate fertility preservation options such as cryopreservation of
eggs and embryos.
Our study evaluated the ovarian reserve of women with TAI through the two main
markers of ovarian reserve (AMH and AFC); whereas most of the studies discussed
above evaluated only one marker ( Saglam et
al ., 2015 ; Chen et
al ., 2017 ; Öztürk Ünsal et al ., 2021 ; Bahri et al ., 2019 ; Polyzos et al ., 2015 ; Osuka et al ., 2018 ). Since
there is evidence that a high percentage of women may present ovarian reserve
markers with discordant results ( Pastore et
al ., 2018 ), it is critical not to rely on just one of the
makers in the clinical practice.
Another important strength of our study is that the diagnosis of TAI was performed by
assessing the two main antithyroid antibodies (anti-TPO and anti-Tg), which makes
the classification of women into the groups more reliable. Analyzing only one of the
antibodies, as done in some studies ( Bahri et
al ., 2019 ; Polyzos
et al ., 2015 ; Samsami et al ., 2020 ), may lead to the inclusion of
women with undiagnosed TAI in the control group, possibly compromising the
results.
In our study, the median AMH levels found in the TAI group was 0.5 ng/mL lower than
in the control group, a value that has clinical relevance, but was not statistically
significant, perhaps due to our small sample size. Another limitation is the
retrospective design of the study.
Regarding the variable “other autoimmune diseases”, although there is no
specification about which disease it was, there was no difference in prevalence
between the study group and the control group.
Ideally, longitudinal studies are needed to monitor the behavior of ovarian reserve
markers over time in women newly diagnosed with TAI. This will clarify how ovarian
reserves behave in these women and will help to develop a recommendation regarding
reproductive planning for women diagnosed with autoimmune thyroid disease.
Conclusions
Our study showed a trend towards lower AMH levels in women over 39 years of age with
TAI compared to age-matched controls without TAI. In addition, we found lower AFC in
women with anti-Tg, and that women with low ovarian reserve had a higher prevalence
of this antibody. Thus, the ovarian reserve of women with TAI appears to be
insidiously compromised over the years, with a decreased ovarian reserve in women
with antithyroglobulin positive. To confirm our findings, longitudinal studies
including women screened for the presence of both antibodies and with their ovarian
reserve evaluated through more than one marker are needed.
From these findings, as the association of TAI with compromised ovarian reserve is
plausible, maybe we can recommend that, once diagnosed with autoimmune thyroid
disease, women of reproductive age should be referred for evaluation and
reproductive counseling with an assisted reproduction specialist.
Materials|Methods
We retrospectively analyzed the medical records of patients who attended a
referral clinic in assisted reproduction located in Recife, Brazil, during the
period of February 2017 to December 2021.
We included women between 18 and 47 years of age with data on the presence of
antithyroid antibodies (routinely assessed at first consultation) and assessment
of their ovarian reserve through AMH and AFC levels. Women with other possible
causes of reduced ovarian reserve such as smoking, previous ovarian surgery,
previous gonadotoxic treatment, previous pelvic or abdominal radiotherapy,
chromosomal abnormalities, history of uterine artery embolization, diagnosis of
non-autoimmune hypothyroidism, and Grave´s disease were excluded.
Participants positive for antithyroperoxidase (anti-TPO) and/or antithyroglobulin
(anti-Tg) antibodies, according to the reference range of the laboratory where
the test was performed, were considered to have TAI ( Caturegli et al ., 2014 ), while the control
group was composed of women without these antibodies. Low ovarian reserve was
defined based on the criteria adapted from POSEIDON (AMH < 1.2ng/mL and/or
AFC < 5 follicles) ( Humaidan et
al ., 2016 ). This classification enables the assisted
reproduction specialist to estimate the number of eggs that can be obtained in
an in vitro fertilization treatment, a data of great importance for the
evaluation of the prognosis and reproductive counselling.
The variables analyzed were age; body mass index (BMI), categorized according to
the World Health Organization definition ( WHO,
2000 ); reason for seeking the service; infertility; cause of
infertility; endometriosis, diagnosed by ultrasound or magnetic resonance
imaging; diagnosis of other autoimmune diseases; levels of thyroid-stimulating
hormone (TSH); and free thyroxine (FT4).
Serum anti-TPO and anti-Tg levels were measured using electrochemiluminometric
method and its results were recorded in UI/mL. Serum AMH levels were assessed at
any stage of the menstrual cycle by the electrochemiluminometric method and
recorded in ng/mL ( Hehenkamp et
al ., 2006 ). The AFC was performed by the patient’s
attending physician, a specialist in assisted reproduction, using transvaginal
ultrasound during the initial follicular phase. All follicles measuring between
2 and 10 mm in both ovaries were counted ( Tal
& Seifer, 2017 ). When the AFC result was considered unexpected
for the women’s age, the test was repeated in a subsequent cycle, and the
highest count was considered for this study. The levels of TSH and FT4 were also
measured by the electrochemiluminometric method and registered in mUI/L and
ng/dL, respectively.
The Statistical Package STATA 12.1SE (College Station, Texas, USA) was used for
data analysis. The Kolmogorov-Smirnov test and quantile-quantile plot were
combined to test for normality. Continuous variables with normal distribution
were compared using the Student’s t-test and presented as means ±
standard deviations. Continuous variables that were not normally distributed
were compared with the Mann-Whitney U-test and presented as medians
(interquartile ranges). Categorical variables were analyzed by the chi-square,
Fisher’s exact test or Fisher-Freeman-Halton test, as appropriate and presented
as counts (percentages). Spearman correlation coefficients were performed to
test the association between numerical variables. Poisson multivariable
regression models were performed to adjust for the effect of baseline
characteristics. A value of p <0.05 was considered
statistically significant.
This study was approved by the Research Ethics Committee of Instituto de Medicina
Integral Prof. Fernando Figueira (CAAE 41181820.5.0000.5201; approval number:
4.486.991; date: 30/12/2020) and complied with the principles of the Declaration
of Helsinki.
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