Intro
Since the start of the COVID-19 pandemic in Wuhan, caused by the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2), nearly 200 million people have been
infected, leading to more than seven million deaths ( World Health Organization, 2024 ). As the pandemic progressed, several
manifestations unrelated to respiratory symptoms were observed, including those of
the reproductive system ( Ding et
al ., 2021 ).
However, it is still uncertain what consequences COVID-19 would have on both female
reproductive function and the hypothalamic-pituitary-gonadal axis. Thus, assessing
ovarian reserve is one way to advance this issue. Defined as the set of ovarian
follicles available for follicular recruitment, reflecting the functional potential
of the ovaries ( Chuang et al .,
2003 ; Maheshwari et al .,
2006 ), it can be considered a complex clinical phenomenon influenced by
age, genetic and environmental variables ( Tal &
Seifer, 2013 ).
Among the biomarkers of ovarian reserve, the dosage of anti-Müllerian hormone
(AMH) stands out, considered the most sensitive, allowing its assessment at any time
during the menstrual cycles ( Tal & Seifer,
2017 ).
Women affected by SARS-CoV-2 had lower AMH levels, suggesting a decrease in ovarian
reserve. This has raised concerns about the potential deleterious impact of
SARS-CoV-2 infection on fertility ( Ding et
al ., 2021 ).
However, during the pandemic, vaccination has become an important ally in reducing
mortality from COVID-19, contributing to the population’s hope of overcoming this
health and humanitarian crisis. Regarding AMH monitoring and vaccination against
COVID-19, studies in several locations such as the Czech Republic, Israel, and
Turkey, using vaccines such as Pfizer/BioNTech COVID-19 Vaccine ®
and Moderna® have shown that AMH levels with up to two doses did not have a
statistically significant difference ( Kolatorova
et al ., 2022 ; Mohr-Sasson et al ., 2022 ; Horowitz et al ., 2022 ; Soysal & Yilmaz, 2022 ).
In Brazil, the first reported case of COVID-19 occurred on February 26, 2020, in the
city of São Paulo, after the arrival of a Brazilian from Italy ( Gadelha et al ., 2020 ). In the
same year, 58 vaccines against SARS-CoV-2 were developed. Among them, the
Oxford-AstraZeneca ® vaccine stands out, a more affordable
vaccine aimed at global equity and commitment to lowand middle-income countries
( Knoll & Wonodi, 2021 ). However, since
September 2021, the most widely used vaccine for immunizing the elderly and health
professionals in Brazil has been the inactivated SARS-CoV-2 vaccine
CoronaVac ® (Sinovac Life Sciences; Beijing, China; Volpe et al ., 2023 ).
To our knowledge, no study has evaluated ovarian reserve, represented by AMH values,
in Brazilian patients who received the AstraZeneca ® and
CoronaVac ® vaccines, which are widely used throughout the
country. Considering the global repercussions of this COVID-19 pandemic, assessing
this potential reproductive safety is of public health interest.
Thus, the objective of the research consists of the null hypothesis that women of
reproductive age who received the AstraZeneca ® and
CoronaVac ® vaccines for COVID-19 did not present changes in
the ovarian reserve marker AMH, and the alternative hypothesis that vaccination led
to a decrease in AMH.
Results
The flowchart of the selection of volunteers from the study titled “Evaluation of
humoral and T-cell-based responses after SARS-CoV-2 vaccination” for the present
study is described in Figure 1 .
Figure 1 Volunteer selection flowchart.
Volunteer selection flowchart.
The volunteers subjected to AMH evaluation from pre-vaccination peripheral blood
collection and after the first two vaccine doses totaled 38. A total of 22
volunteers received the third vaccine dose and had AMH evaluation in the previously
collected blood samples. Regarding the five patients with comorbidities, two
patients reported well-controlled hypothyroidism with levothyroxine, one with
gastroesophageal reflux disease, and two with fibroids. Surgical history included
one patient with thyroidectomy; six with breast implants; one with cesarean section;
one with rhinoplasty; one with nasal septoplasty; and one with orthopedic correction
of hallux valgus. The description of the clinical characteristics of the group is in
Table 2 .
Characterization of the group of volunteers who received vaccination against
COVID-19 and underwent AMH measurement.
COC: combined oral contraceptive.
IUD: copper intrauterine device.
SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2.
NEXP: not exposed.
EXP: exposed.
The primary variables, median AMH values (ng/dL) in relation to the three COVID-19
vaccination times for the entire studied group, did not show a statistically
significant variation, with p =0.726, as shown in Figure 2 .
Figure 2 Variation in AMH values in patients who received vaccines against
COVID-19. T0: pre-vaccination moment (1st AMH). T1: 2 weeks after the first dose (2nd AMH). T2: 2 weeks after the second dose (3rd AMH). T3: 2 weeks after the third dose (4th AMH).
Variation in AMH values in patients who received vaccines against
COVID-19.
The median AMH values (ng/dL) in relation to vaccination times, considering the
secondary variable age group less than and greater than or equal to 35 years, did
not show a statistically significant difference within the groups less than 35 years
( p =0.741) and greater than or equal to 35 years
( p =0.556). However, when comparing both age groups, although
the ≥ 35 years group is restricted, there was a statistically significant
difference in the medians of AMH values at each vaccination time, being higher in
the younger group, as described in Table
3 .
Comparison of average AMH values in relation to the age groups of volunteers
within groups and between groups according to vaccination times for
COVID-19.
AMH: Anti-Müllerian Hormone.
Mann-Whitney Test.
Friedman Test.
The evaluation of the secondary variables Initial AMH Delta and Final AMH Delta in
relation to age groups considered the criterion of a Delta reduction of less than or
equal to 10% and greater than 10%. In both situations, reduced ≤ 10% and
reduced > 10%, there was no statistically significant difference between the age
groups considering both the Initial AMH Delta and the Final AMH Delta, as shown in
Table 4 .
Assessment of the percentage reduction in the initial Delta AMH and final
Delta AMH values considering the age groups of vaccinated patients.
Fisher's exact test.
The evaluation of the median AMH values in relation to NEXP and EXP did not show a
statistically significant difference between both groups, respectively,
p =0.738 and p =0.566; nor was there a
statistically significant difference between the groups considering each vaccination
time, as described in Table 5 .
Assessment of median AMH values in relation to intra and between groups of
those exposed and not exposed to SARS-CoV-2 according to vaccination
times.
NEXP: not exposed to SARS-CoV-2.
EXP: exposed to SARS-CoV-2.
AMH: anti-Müllerian hormone.
Mann-Whitney test.
Friedman test.
Discussion
The median AMH levels of the volunteers in the present study did not show a
statistically significant difference at each vaccination time, from pre-vaccination
to the group that received the third dose, with p =0.726. This
reinforces both the legitimacy of vaccination, considered a necessary measure
adopted in a short period, within a critical global moment in the fight against the
COVID-19 pandemic, and the strengthening of the concept of no reproductive harm in
women of reproductive age.
Similarly, even though not limited to AstraZeneca ® and
CoronaVac ® vaccines, a systematic review of 18 studies and a
meta-analysis of 14 studies, among which only two exclusively used
CoronaVac ® , highlighted that while SARS-CoV-2 infection could
result in damage to ovarian reserve by reducing AMH levels, vaccination would not
have this effect ( Ghaemi et al .,
2024 ).
A systematic review on the effect of SARS-CoV-2 infection and vaccination on ovarian
reserve included 2 suggestive studies that SARS-CoV-2 infection could impair ovarian
function. When comparing vaccinated and unvaccinated groups, serum AMH levels
remained within the normal reserve range (>1.1 ng/dl) throughout the study period
( Zhu et al ., 2024 ),
consistent with the presented results.
Regarding the differences in AMH values evidenced between age groups at each
vaccination time, all with statistically significant differences, this is consistent
with expectations. It is known that follicular depletion and consequent decrease in
ovarian reserve occur with advancing age, especially from the age of 35 onwards
( Vitagliano et al .,
2023 ), the limit adopted for data analysis in this group of women
studied.
Assessment of ovarian reserve is one way to estimate reproductive capacity. A
retrospective study with vaccination restricted to CoronaVac®, investigated
the effect of this measure on ovarian reserve in 46 infertile female patients with
no confirmed history of SARS-CoV-2 infection. After two vaccine doses, with a
one-month interval, the AMH value was compared preand post-vaccination, with a
follow-up for two subsequent months, without the identification of a statistically
significant difference. Additionally, it reinforced both vaccination as a rational
and economical approach to protect ovarian reserve and reassured a larger number of
women of reproductive age about not harming fertility ( Şenkaya et al ., 2023 ).
Despite the present study also considering the group not exposed to SARS-CoV-2
(NEXP), patient selection excluded the report of infertility. However, the presented
data also corroborate the lack of impact on fertility and, at this moment, reinforce
reproductive counseling. Contributing to the information that vaccination did not
cause damage to ovarian reserve will probably not encourage further vaccination
considering the end of the global pandemic announced by the World Health
Organization (WHO) in 2023 ( Sarker et
al ., 2023 ). But it potentially reassures women with
reproductive desire and those undergoing infertility treatments about having already
received vaccination. Reproductive counseling is part of humanization in healthcare,
contributing to reducing female anxiety regarding gestational desire.
The comparison between 474 women vaccinated with CoronaVac ® and 474
unvaccinated demonstrated that among the unvaccinated group, there was a significant
reduction in AMH values between the first and second tests. However, in subgroup
analyses with age <35 and ≥35 years, this did not occur in the vaccinated
group. It is worth noting that the reagent used was Elecsys ® AMH
Plus on a Cobas 801 analyzer from Roche Diagnostics ® ( Hunag et al ., 2023 ).
Similarly, the secondary variable adopted, Initial Delta AMH, also showed a reduction
in the median value of AMH after the first dose of the vaccine. Subsequently, there
was a tendency for growth , both in the general group and in the subgroup analyses
by age and EXP and NEXP groups, without statistically significant difference. This
may be a reflection of the restricted sample of patients. Furthermore, it is assumed
that part of the NEXP group had contact with COVID-19 previously asymptomatically.
This would already initiate an immunological stimulus at the time of AMH
measurement. Additionally, genetic responses of different populations would
contribute to this transient change in AMH levels during initial vaccinations.
By adopting as the primary outcome, in women of reproductive age between 18 and 42
years, the change in AMH levels three months after the first COVID-19 vaccine, minus
the initial AMH levels (AMH Delta), considering variations greater and less than
10%, a prospective study also found no significant differences ( Mohr-Sasson et al ., 2022 ). In
the present study, reductions greater and less than 10% in AMH values,
proportionally, require careful interpretation. Suggesting that the vaccine could be
directly associated with this reduction greater than 10% in AMH values,
paradoxically, could raise questions that vaccination led to harm to this marker.
However, besides subgroup analyses requiring more critical interpretations ( Wang et al ., 2007 ), since the
study was not initially designed for this question, the proportionality in both
groups could be due to other genetic or environmental factors that also impact
ovarian reserve, not exclusively limited to vaccine action.
Among these factors, a systematic review ( Werner
et al ., 2024 ) on AMH values and modifiable lifestyle
factors suggested that body mass index (BMI), smoking, oral contraceptive use, and
physical activity had inversely significant associations with AMH levels. For
waist-hip ratio, alcohol, and caffeine use variables, most studies found no
association with this hormone. However, all effect measures of associations were
heterogeneous, limiting conclusions. Patients included in the present study did not
have all these lifestyle factors assessed. But the limitation of extrapolating the
findings, considering a potential impact on AMH of these lifestyle-associated
variables, is recognized.
Contrary to the decrease in the mean AMH value preand post-vaccination, a
retrospective unicentric American cohort study, even without reporting the vaccines
used and the exact time post-vaccination, included 92 women with a mean AMH value
before vaccination of 4.2 ng/ml and, post-vaccination, of 5.2 ng/ml. Additionally,
they did not describe which AMH assessment kits were used ( Yang et al ., 2022 ).
For over 20 years, attempts have been made to establish relationships between serum
AMH levels and advancing age. In normovulatory patients, there is suggestive
evidence of this decline over time that reinforces the role of this hormone as a
marker of ovarian reserve ( de Vet et
al ., 2002 ). If one considers patients undergoing assisted
reproduction techniques (ART), such as in vitro fertilization (IVF),
individualization of treatment for prediction of ovarian response could use AMH
values. Thus, the best doses of gonadotropins during controlled ovarian stimulation
(COS) would be indicated, providing greater safety and effectiveness ( La Marca & Sunkara, 2014 ).
However, this is not a consensus. In a cross-sectional study using various ovarian
reserve biomarkers as possible predictors of response to COS, it was suggested that
none of them, including AMH, showed good predictive capacity. An exception was the
Ovarian Response Prediction Index (ORPI) for hyper-response in normo-ovulatory
infertile women ( Peluso et al .,
2021 ). Similarly, AMH also did not demonstrate predictive capacity for
clinical pregnancy rate in patients undergoing assisted reproductive technology
(ART). However, it should be noted that the same sample was used for AMH level
analysis with five different kits: Immunotech®, Beckman Coulter II Gen.
RUO®, Beckman Coulter II Gen. IVD®, Ansh®, and Elecsys
Roche®. The conclusion emphasized that pregnancy rates varied greatly with
the same samples from the same AMH patients, depending on the kit used. Thus,
different AMH values could lead to misguided clinical decisions in ART ( Liss et al., 2017 ).
In this context, 12,917 women were monitored with four types of AMH tests (Immunotech
I®, Beckman Coulter II RUO®, Generation II with IVD certification -
BCII®, and Ansh Labs I®), identifying that the distribution of AMH
concentration was heterogeneous after age adjustment among the assays, and that the
rate of AMH decline with age varies for each test used ( Plociennik et al., 2018 ).
The differences observed may reflect that the AMH kits used represent different
proportions of the four serum isoforms of AMH, primarily represented by a precursor
hormone, proAMH, its amino and carboxy-terminal portions, respectively AMHC and
AMHN, and a non-covalent binding AMHN,C. Inconclusive evidence suggests that
conversion predominantly occurs in the ovary dependent on pro-protein convertase
subtilisin/kexin-type 3 (PCSK3) and PCSK5, hormone-dependent action, and still not
fully understood physiology. This makes the process and understanding of clinical
use of AMH more complex than imagined. While the recognition of different isoforms
for AMH is intriguing and adds complexity to its pathophysiology, it also encourages
more caution in its clinical use, requiring further research ( La Marca, 2019 ).
The need for an international standard for AMH and better validation of available
assays, as well as the search for conversions to adapt different kits in the
interpretation of AMH values, are barriers to be overcome. However, studies using
only one AMH kit can contribute to this process to maximize the clinical utility of
this very promising biomarker for ovarian function and, consequently, ovarian
reserve ( Dewailly et al.,
2014 ).
The present study used only one kit for the evaluation and follow-up of all patients
(EUROIMMUN). This reduces the bias resulting from finding AMH values influenced by
different proportions of AMH isoforms by different kits. Additionally, it
contributes to advancing understanding of AMH value and the impact of vaccination as
it is a single-center cohort study, in which hormonal collection and measurement
methods were similar for each volunteer.
In this study, women in the menacme who received the vaccine were included, with no
clear correlation associated with infertility, a frequent topic of research using
AMH. Considering the ethical principles of the Helsinki Declaration, even patients
with low AMH levels identified in this research were informed that available studies
do not determine a serum AMH threshold value associated with live birth rates and,
primarily, the lack of data on its predictive value in women attempting to conceive
without ART ( Peigné et al.,
2023 ). Thus, rigorously, the external validity of the results of this
study is limited to recognizing that, in a short period that included two to three
vaccine doses, using the same AMH kit for follow-up, there was no reduction in AMH
in the studied group. However, considering the need for rapid vaccine development
and deployment in enormous quantities, a signal of no reproductive harm is promising
and may encourage further research for larger follow-ups of these patients.
However, the lack of identification of damage to ovarian reserve suggests that even
pregnant women over 35 years of age, as well as patients with known decreased AMH
levels, would have the protective benefit of vaccination. This action have reduced
the prevalence and impact of infectious diseases, underpinning global health
security and social well-being. Thus, maintaining high vaccination coverage is
crucial. Threatening these goals by vaccine hesitancy or refusal of vaccines, in
despite of the availability, endangering the success of vaccination programs, is
unacceptable ( Vigezzi et al .,
2024 ).
Limiting factors include a small convenience sample, which may affect the
generalizability of the results, the relatively short follow-up time, the lack of
sample power calculation, and the fact that vaccination occurred with more than one
type of COVID-19 vaccine (AstraZeneca® and CoronaVac®). However, this
reflects a practical situation that occurred in much of the Brazilian population,
namely, receiving the available vaccine at the time. Thus, the decision not to
perform more subgroups for analysis considering the use of one or two vaccines is
justified, as it would limit interpretation due to the type I error trend.
The rigor in patient selection in a cohort study, the exclusive use of one AMH kit,
and the importance of reassuring reproductive counseling, considering initial
research after the sanitary and humanitarian crisis, with recently declared
termination due to a global pandemic, are factors that enhance the present
findings.
Materials|Methods
This retrospective cohort study was conducted at the ABC Medical School
University Center (Centro Universitário FMABC) with workers who had no
verbal reports of immunodeficiency, coming from regional hospitals and
institutions, and who were about to receive the first dose of
AstraZeneca ® or CoronaVac ® vaccines
between August 1, 2021, and January 31, 2022. The STROBE recommendations ( von Elm et al ., 2008 ) were
followed in this research.
Inclusion criteria were professionals from the Centro Universitário FMABC,
aged between 18 and 40 years, not currently pregnant, in their reproductive
years, and who received at least two doses of the COVID-19 vaccine after the
collection without a vaccine.
Exclusion criteria included a history of ovarian endometriosis, previous ovarian
surgery, report of infertility, a family history of premature ovarian
insufficiency, reports of polycystic ovary syndrome, previous use of COVID-19
vaccine, and a history of radiotherapy or chemotherapy.
The serum samples used in this study were the same previously used in the study
titled “Evaluation of humoral and T-cell-based responses after SARS-CoV-2
vaccination”, conducted between 2021 and 2022, which was approved by the ethics
committee of this institution (Approval: 4.702.022). However, only samples from
patients who met the aforementioned criteria were included.
Data collected included age, prior exposure to SARS-CoV-2, vaccination date, and
the name and manufacturer of the vaccine received by the volunteer. According to
prior exposure confirmed by serology or real-time reverse
transcription-polymerase chain reaction (RT-PCR) to SARS-CoV-2, two groups were
formed: exposed (EXP) and non-exposed (NEXP) for statistical analyses.
Similarly, age < 35 years and ≥ 35 years were considered, given the
impact on ovarian reserve with advancing age ( Ghaemi et al ., 2024 ) for subgroup analyses.
Biological material was collected at three time points: T0: immediately before
the vaccine administration; T1: about 14 days after the first dose of the
vaccine; T2: about 14 days after the second dose of the vaccine; T3:
approximately 14 days after the booster dose. This totaled a period of 9 months
between the initial collection from the first volunteer and the final collection
from the last volunteer ( Table 1 ).
Timeline of serum collections for AMH * analysis.
AMH: Anti-müllerian hormone.
A delta between T3 and T0 (Final AMH Delta = fourth AMH - first AMH) was
calculated, as well as a delta between T1 and T0 (Initial AMH Delta = second AMH
- first AMH).
Primary variables were the medians of AMH values (ng/dL) and vaccination times.
Secondary variables included age < 35 years and ≥ 35 years; EXP and
NEXP; Final AMH Delta and Initial AMH Delta.
During the administration of the supplementary questionnaire and the new Informed
Consent Form (ICF) via email, to recontact participants from the previous study,
questions about personal history of comorbidities, medication use, surgical,
gynecological, obstetric history, and habits such as alcoholism, smoking, and
drug use were asked to improve the characterization of the volunteers. The
researcher was available to clarify any doubts and to arrange face-to-face
meetings in private conditions if requested. However, none of the participants
who responded to the questionnaire sent any additional questions or requests for
a face-to-face meeting. The samples from the participants who agreed to
participate and were included in the present study were centrifuged for ten
minutes at 3,000 rotations per minute (rpm) and the serum was stored in a -80°C
freezer. Hormonal measurements were performed using the Anti-Mullerian (MRH/AMH)
kit from EUROIMMUN (catalog: EQ 6161-9601).
Qualitative variables were presented by absolute and relative frequency.
Variables not presenting normality by the Shapiro-Wilk test were presented by
median and 95% confidence interval (CI) values. For intragroup comparison with
age group and EXP and NEXP with vaccination times, the Friedman test was used.
To compare between groups with age group and EXP and NEXP and vaccination times
(T0, T1, T2, and T3), the Mann-Whitney test was used. The final AMH Delta and
the initial AMH Delta were compared with age groups using Fisher’s Exact Test.
Additionally, a Delta reduction ≤ or > 10% was considered. This value
adopted was based on a previous study, that there was a significant decline in
AMH levels when the second AMH decreased by more than 10% than the first AMH
( Mohr-Sasson et al .,
2022 ). Simple linear regression and respective confidence intervals
were used to verify factors associated with the outcome variable (T3). The
confidence level adopted was 95%. The statistical program used was Stata version
14.0.
It was approved by the institutional ethics committee (CAAE:
44191821.2.0000.0082; Opinion Number: 6.077.257) and is in accordance with the
Declaration of Helsinki, principles of good clinical practice, and relevant
national regulations.