Section 2
A study was carried out in Baghdad, about 65 women with PCOS and 56 healthy women
were included in the study. The women’s ages ranged between 18 and 45
years in patients and controls, about four participants were on treatment for
PCOS like metformin, vitamin D, and oral contraceptives during sample
collection, but they continued to meet the diagnostic criteria for PCOS. The
doses of medications were not standardized among participants. The samples were
collected using a clinical convenience sampling technique from the Medical City
Hospital, Baghdad, and private women’s infertility clinics. Written
consent was obtained from each patient and control before the study started. The
study was approved by the Ethics Committee of the College of Science, University
of Baghdad (Ref.: CSEC/1124/0100, November 2024 to Jan 2025). Due to the strict
eligibility criteria and logistic challenges in recruiting completely healthy
individuals, the sample size of the control group was smaller than the PCOS
group. However, to minimize potential confounding factors, controls were closely
matched with patients based on age. BMI was measured using the equation weight
(kg)/(length).m 2 . The cut off value was 25 as BMI 30 act as obese. The main symptoms
that occur in patients with PCOS are irregular periods, acne, alopecia,
hirsutism, oily skin, and depression. Hyperandrogenism is a key diagnostic
criterion of PCOS. To verify the adequacy of the final sample size (65 cases and
56 controls), a post-hoc power analysis was conducted using G*Power software.
Based on current sample size, the study achieved a statistical power (1-β)
of over 80% (>0.80) at a significant level (α) of 0.05, confirming that
the sample size is statistically sufficient to detect significant differences
between the groups.
The sample size was calculated by Raosoft; the margin of error is 5%, the
confidence level was 95% and response of distribution was 50%.
The diagnosis of PCOS was established based on the Revised Rotterdam Consensus
criteria, requiring the presence of at least two of the following components:
Oligo- or anovulation, clinical and/or biochemical hyperandrogenism, and PCOS
morphology on ultrasound. In this study, the diagnostic criteria are classified
as follows: Clinical criteria (based on patients’ symptoms, physical
examination, and medical history), laboratory criteria (based on blood tests,
hormonal levels, and immunological assays, including antibody detection), and
imaging criteria (based on radiological and imaging techniques such as
ultrasound). Specifically, the operational definition included assessing
irregular periods or chronic amenorrhea for ovulatory dysfunction, and
evaluating hirsutism, acne, or alopecia alongside serum androgen levels for
hyperandrogenism.
Anti-mullerian hormone (AMH) was assessed as part of the laboratory diagnostic
criteria to support the evaluation of ovarian function. Additionally, while the
LH/FSH ratio is not officially recognized as a primary diagnostic criterion
within the Rotterdam guidelines, LH and FSH may serve as useful indicator for
PCOS. An increase in the LH/FSH ratio to 2 or 3 in women with PCOS, the typical
ratio being 1:1 of LH/FSH, means that the levels of both FSH and LH in the
bloodstream can be compared.
14 , 15
Therefore, both AMH levels and the LH/FSH ratio were utilized as
supplementary pathophysiological markers rather than primary diagnostic tools.
The phenotypes were not specific in this study, as the analysis focused on
overall diagnosis rather than phenotype classification.
Pregnant or breastfeeding women or those who had hypertension, diabetes, or other
chronic diseases were excluded from the study. Also, individuals with thyroid
dysfunction, hyperprolactinemia, and other endocrine conditions that could
influence hormonal or immunological parameters were excluded from the study to
minimize confounding factors. Only confirmed cases of PCOS were included in the
study.
Using the AFIAS-6 apparatus, hormones (Follicle stimulating hormone, luteinizing
hormone) were measured in the serum of women with PCOS and healthy women during
the early follicular phase.
All parameters were determined using the serum from women with PCOS and healthy
women (controls) during the early follicular phase. Fertility hormones (anti-FSH
antibody and anti-LH antibody) were measured by ELISA using immunological kits
(Cat No: YLA0050HU, Shanghai YL Biotech Company, China) (Cat No: E3130Hu, BT
LAB, China). The ELISA plate was precoated with human anti-FSH antibodies. Upon
adding 50 μl of the sample to the wells, any anti-FSH Ab was bound to the
immobilized antibodies. Biotin-labeled anti-FSH Ab was dispensed into all wells
except for the standard wells, which were precoated. Biotin-labeled anti-FSH
antibodies immobilized on the plate. Streptavidin-HRP was added to all wells,
and the plate was kept in the dark. The mixture was incubated at 37°C for
60 min. After incubation, unbound streptavidin-HRP was washed away using washing
buffer. The washing step was repeated five times, with a one-minute wait for
each wash. Substrate solution (A and B) was then added, and the resulting color
indicated the concentration of anti-FSH Ab. The enzymatic reaction was stopped
by adding an acidic stop solution, and absorbance was measured at 450 nm using a
microplate reader. The same detection steps used for anti-FSH Ab were applied to
the anti-LH Ab. According to manufacturers' specifications, the intra-assay and
inter-assay coefficients of variation (CV) for both anti-LH and anti-FSH ELISA
kits were <8% and <10%, respectively, confirming the precision and
reproducibility of the immunological assays.
Data analysis was performed using SPSS version 2019. The normality of continuous
variables was formally evaluated using the Shapiro-Wilk test prior to
statistical analyses. An independent t-test was used to compare means between
patients and controls, statistical significance was set at p-value < 0.05.
While the chi-square test was used to compare percentages between groups. Simple
statistical analyses were sufficient as the data did not require more complex
methods. The chi-square test was used to compare the categorical
variables/proportions between groups in this study. A post hoc power analysis
was performed using the observed differences in Anti-LH antibody levels between
PCOS patients and controls. With 65 patients and 56 controls, the statistical
power was >99% at a significance level of 0.05, indicating that the sample
size was adequate to detect significant differences between groups.
Intro
Polycystic ovarian syndrome (PCOS) is a prevalent gynecological disorder that affects
women of reproductive age (15-45 years) and is characterized by a combination of
hormonal and metabolic manifestations.
1 , 2
The exact cause of this syndrome remains unclear; however, PCOS is primarily
associated with hyperandrogenism and ovulatory dysfunction. Its incidence varies by
region and is influenced by lifestyle factors, including diet and physical activity
habits. The pathophysiology of PCOS, resulting from hyperandrogenism and insulin
resistance, can lead to hirsutism, acne, and menstrual cycle irregularities,
anovulation, endometrial cancer, ovarian enlargement, infertility, type 2 diabetes,
other cardiovascular diseases.
3 , 4
Environmental and genetic factors contribute to PCOS development in ovaries.
Metabolic disorders, including insulin resistance, hypertension, dyslipidemia, and
central obesity, are more common in obese women with PCOS. Furthermore, scientific
evidence indicates that women with PCOS have higher levels of inflammation-related
biomarkers in both their serum and ovarian tissues than women without the condition.
5 , 6
PCOS causes an imbalance in progesterone and estrogen (sex hormones) levels,
which leads to disturbances in the menstrual cycle. Therefore, oral contraceptives
are often prescribed for women with PCOS.
7
This condition can be diagnosed by ovarian ultrasonography. The ovary can be
affected by immune-mediated processes, and these responses can be organ-specific,
affecting only the ovary, or systemic autoimmune diseases. One autoimmune
conformation of the ovary, anti-FSH antibody interferes with the function of FSH,
and FSH’s specific beta-epitope is predominant in endometriosis and
polycystic ovary syndrome.
8
The pituitary gland abides by slow and fast GnRH pulses. During the early
follicular stage, increasing FSH concentrations stimulate estradiol (E2) production.
Elevated E2 selectively suppresses FSH secretion and sustains a high-frequency
pattern of GnRH pulses into the late follicular stage.
9
A hallmark of PCOS is an increase in GnRH levels, leading to elevated
androgen levels. The ovary stimulates this oversecretion and produces high LH levels
from the adenohypophysis. This elevation in LH secretion is observed in
approximately 60% of women with PCOS, and oversecretion of LH prevents oocyte
maturation. The main function of LH hormone is to stimulate ovulation and zygote
implantation in the uterus, as well as to regulate the menstrual cycle.
10 , 11
LH receptors on ovarian theca cells regulate steroid production, whereas FSH
receptors on granulosa cells regulate follicle development and steroid hormone
handling. Evidence from limited studies indicates a possible association between
these antibodies and premature ovarian failure in women.
12
In infertile women anti-FSH antibodies were found at high concentrations.
Because of their similarities in structure, function, and site of secretion,
antibodies against both LH and FSH are the same. Pretreatment with oral
contraceptives is used to balance the LH/FSH ratio before ovulation, to regulate
ovarian induction.
13
There was very little previous studies on the role of anti-FSH and anti-LH
antibodies in PCOS occurrence so the study was designed to compare the levels of
these antibodies and its correlation with imbalanced FSH and LH levels and
association with BMI in PCOS patients.
Ethical
This study was approved by the Ethics Committee of the College of Science, University
of Baghdad (Ref.: CSEC/1124/0100, November 2024). All procedures involving human
participants were conducted in accordance with the ethical standards of the
Declaration of Helsinki. Written consent was obtained from each patient and control
before the study started.
Results
The baseline demographic characteristics of the studied population are summarized in
Table 1 . The mean age of PCOS patients
was 26.80 ± 0.78 years, which was statistically comparable to that of the
healthy control group (27.64 ± 1.91 years; p = 0.660), demonstrating successful
age-matching. Regarding marital status, a significantly higher percentage of PCOS
patients were married (75.38%, n = 49) compared to the controls (64.29%, n = 36),
whereas single participants constituted (24.62%, n = 16) of patients (35.71% n = 13)
and of controls (p = 0.0001).
Note: Data are represented as mean ± SE for continuous
variables, and as counts and percentage (%) for categorical
variables. Statistical significance was set at p < 0.05.
Regarding fertility distribution, (58.46%, n = 29) of patients had children, while
(41.54%, n = 20) did not. In the control group (64.29%, n = 23) had children and
(35.71%, n = 13) did not. Chi-square analysis revealed that this slight difference
in the prevalence of having children between the two groups was not statistically
significant (p = 0.830), indicating a homogenous distribution of baseline
parity.
There was a non-significant increase in the follicle-stimulating hormone (FSH), and
luteinizing hormone (LH) in PCOS (8.12 ± 0.74 mIU/ml), (7.61 ± 0.73
mIU/ml) respectively, as compared to control (7.35 ± 0.62 mIU/ml), (5.62 ±
0.56 mIU/ml) respectively (p value > 0.05). However, LH levels showed a
non-significant increase in patients when compared to controls (p > 0.05). The
present study found a highly significant decrease in antibodies against LH hormone
in patient (45.29 ± 3.04 ng/ml) were found to be less than control (69.16
± 10.90 ng/ml). Serum anti-LH antibodies were detected in PCOS patients,
showing a negative correlation with LH levels. The anti-FSH antibody levels showed a
non-significant increase in both patient and control groups. Antibodies against FSH
in patient (36.22 ± 6.73 ng/ml) was more than the control (34.99 ± 9.78
ng/ml). The LH/FSH ratio revealed a non-significant increase in the patients (1.161
± 0.37), and control groups (0.780 ± 0.22), as shown in Table 2 . The LH/FSH ratio was more than 2 was
in patients 5(7.6%), while in control zero. The ratio was less than 2, in patient 60
(92%) higher than in control where it was 56 (100%).
Note: Data are presented as mean ± standard error (SE).
t: Independent sample t-test statistic; p: Significance value. NS =
Non-significant (p > 0.05).
The statistical sugnificance level was set at (p > 0.05)
mIU/ml = milli-International Unit per milliliter.
Ng = nanogram per milliliter.
The BMI of the patients and controls was as follows: in obese and overweight women
the anti-LH antibody decreased in the patient (43.80)%, and control groups (69.90)%,
while the anti- FSH antibody levels increased in the patients (42.60)% compared to
the control group (39.70)%, and the LH/FSH ratio showed an increase in the patient
(1.381), and control groups (0.80)%. In normal weight women, the anti-LH antibody
was lower in the patients (47.586) ng/ml, than in controls (68.22)%, and the
anti-FSH antibody also as anti-LH antibody, in patients (26.48)% increase, compared
to control (28.80)%, while LH/FSH ratio represented a higher level in the patient
(0.80)% than in the control (0.80)% as shown in
Table 3 . There was a non-significant correlation between the BMI and
(Anti-FSH, Anti-LH antibodies, and LH/FSH ratio), as shown in Table 4 .
Note: Data are presented as prevalence percentages (%) calculated
independently within each stratified body mass index (BMI) subgroup
relative to the total number of subjects in each respective group
(case and controls). Due to the descriptive nature of this
exploratory stratification and the small sample size within these
specific individual subgroups, these values represent baseline
clinical trends.
Note: r: Pearson correlation coefficient. NS = non-significant (p
> 0.05). The statistical significance level for all correlation
analyses was maintained at p < 0.05.
Conclusion
This study suggests that immune-mediated mechanisms, including alterations in
anti-FSH antibody profiles, may play a role alongside endocrine and metabolic
factors in the pathophysiology of PCOS. Although an elevated LH/FSH ratio > 2 was
clinically observed in a small subset of patients, the distribution of fertility
status and baseline parity did not demonstrate statistically significant variations
between the studied groups. Incorporating immunological markers alongside standard
hormonal screening could improve descriptive patients’ assessment. Future
studies with larger sample sizes and broader longitudinal cohorts are required to
establish clear causal pathways and guide targeted interventions.
Discussion
Polycystic ovarian syndrome can be defined as a hormonal, metabolic, and endocrine
disorder, related to irregular androgen production from the ovaries. An increase in
adrenal androgen levels, combined with obesity, promotes the peripheral conversion
to estrogen.
16 , 17
In addition to type 2 diabetes, women with PCOS often exhibit insulin
resistance, impaired glucose tolerance, and obesity.
18
It was normal to increase the level of LH hormone, and the ratio of LH/FSH;
it may be between 1-2 in healthy women but increases to reach as high as 2 or 3,
which will lead to anovulation. The gonadotrophin- axis was distributed in PCOS
patients, so LH levels increased and FSH levels were within the normal range,
leading to the expression of the normal LH/FSH ratio. This result is not concordant
with that reported by Malini and Roy.
19
The results of this study showed an increase in the LH/FSH ratio in female
with PCOS, which increased above 1, except in some patients who were, taking an oral
contraceptive that balanced the LH/FSH level before the ovulation, which may have
affected the results. Despite the potential influence of oral contraceptives on the
LH/FSH ratio, a small proportion (7.5%) of the patients still exhibited values above
2, which is a hallmark feature of PCOS. This finding further supports the notion
that, in addition to endocrine and metabolic disturbances, immune-mediated
mechanisms, such as the presence of anti-LH Ab and anti-FSH Ab, may contribute to
ovarian dysfunction and reproductive impairment in affected women. In addition,
findings indicated an elevation in LH concentrations, along with either normal or
reduced FSH concentrations, in individuals with PCOS, as revealed by previous
research.
20
The medications that some patients with PCOS were taking were vitamin D3,
oral contraceptives, and metformin when samples were collected, but they continued
to meet the diagnostic criteria for PCOS. The role of metformin and vitamin D in
PCOS was to decrease the FSH level in women during post-menopause and decrease LH
levels in women with PCOS.
21
Some patients (approximately 4 participants) had been taking medications,
such as metformin and vitamin D, which were prescribed by their physician at the
time of sample collection. This treatment is commonly used in PCOS to improve
hormonal balance by lowering LH levels and increasing FSH levels, thereby supporting
ovulation and enhancing menstrual regularity. Additionally, metformin and vitamin D
have a positive effect on BMI, and their combination is particularly effective in
managing ovulatory dysfunction in patients with PCOS.
22
Pretreatment with oral contraceptives is used to balance the LH/FSH ratio
before ovulation to regulate ovarian induction.
23
Insulin resistance in women with PCOS is reduced by metformin, thereby
counteracting adverse metabolic and hormonal disturbances. This improvement is
accompanied by enhanced GnRH pulsatility, decreased LH secretion, and reduced
androgen production, and an increase in sex hormone-binding globulin (SHBG).
Normalization of LH levels and the LH/FSH ratio in this manner is considered one of
the most prominent therapeutic effects of metformin on fertility in women with PCOS.
24
FSH and LH are inhibited by anti-FSH antibody or anti-LH antibody trapping
the hormones in the immune complex, and anti-FSH antibody prevents FSH hormone from
binding to its receptor.
25
An earlier study showed that there was a higher level of anti-FSH antibody in
patients with PCOS than in controls. The exact mechanism remains unclear, and a
previous study suggested that the epitope of the beta-chain of FSH attacked by
anti-FSH antibodies. These autoantibodies made the tissue of ovaries and the hormone
receptors as target, which activated the gonadotropin-releasing hormone receptor,
and disrupted the action of the hypothalamic-pituitary-ovarian axis. The rate of
anti-FSH antibody in this study, increased in female with PCOS, which is consistent
with a previous study showing an elevation in anti-FSH antibody levels in women with
PCOS. However, the anti-LH antibody level did not show that increase. As well as the
current study showed a non-significant relationship between (BMI) and (anti-FSH
antibody, anti-LH antibody, and the LH/FSH ratio). There was a non-significant
decrease in anti-LH antibody levels, in obese patients and a non-significant
increase in obese control women. The results were the same for the non-obese
(patients and controls). In obese and non-obese (patients and controls), the
anti-FSH antibody, LH/FSH ratio, revealed a non-significant increase, as shown in
earlier research.
26
In earlier study, alterations in reproductive hormones were identified in
PCOS patients, with FSH levels being lower and LH levels elevated. Approximately,
64.5% of the women exhibited abnormal hormonal profiles involving FSH, LH, along
with an increased LH/FSH ratio. The ratio of LH/FSH showed an inverse association
with body mass index. Also, these hormonal changes, particularly the imbalance in
LH, FSH, and their ratio, were related to clinical manifestations of PCOS, such as
obesity, insulin resistance, and hyperandrogenism.
27
A previous study reported elevated LH levels in PCOS patients accompanied by
detectable anti-LH antibodies. These findings suggest that serum anti-LH Abs could
serve as a potential marker for PCOS. In line with this, the current study observed
an inverse relationship between LH and anti-LH Abs, as the results showed elevated
LH levels accompanied by decreased levels of anti-LH antibodies supporting the
proposed relationship.
28
As such, this study suggested a group of patients with PCOS and controls
(healthy women), according to their ages, and if they have children (fertile), or
not (infertile), to detect the fertility beside that (secondary infertility), and
(primary infertility) in women with PCOS was clearly increased. However, the levels
of anti-LH and anti-FSH antibody in primary infertile patients with PCOS were higher
than those in secondary infertile patients with PCOS and controls. To review past
research, infertility was defined as primary infertility (when couples never had
children for more than 12 months). Secondary infertility (when couples never had
children after the last child they had, for more than 12 months), and the female was
diagnosed with PCOS without taking any treatment. BMI is a numerical value that
estimates a person’s body fat based on their weight and height; BMI in obese
and overweight women is above 25, whereas that in low fat women is below 25. In an
earlier study the women with a BMI less than 25 (normal weight) had fewer menstrual
cycle irregularities than obese and overweight women.
29
Non-significant differences appeared among anti-LH antibodies, anti-FSH antibodies,
and the LH/FSH ratio with BMI in this study.
Some patients (approximately 4 participants) were on medications (e.g., metformin and
contraceptives) during sample collection; nevertheless, they continued to meet the
diagnostic criteria for PCOS as confirmed by a specialist. Based on the present
findings, several recommendations for future research can be proposed: assess
additional immunological markers and apply a more detailed BMI classification.
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