Abstract
Ovarian hyperstimulation syndrome (OHSS) is a severe complication of controlled ovarian
hyperstimulation (COH) during in vitro fertilization (IVF) treatment, characterized by increased capillary
permeability. Vascular endothelial growth factor (VEGF) is a key mediator in OHSS, with serum VEGF
levels correlating with its severity. In this study, we investigated the therapeutic potential of
(-)-epigallocatechin-3-gallate (EGCG) and its derivative, Pro -EGCG, in mitigating OHSS. Using both in
vitro and in vivo models, including primary human granulosa-lutein cells, the human granulosa-like tumor
KGN cell line, and a rat OHSS model induced with pregnant mare serum gonadotropin, we found that
EGCG and Pro -EGCG significantly reduced OHSS progression. This was supported by histological
analyses, reductions in ovarian weight, and decreased VEGF expression at both transcriptomic and
proteomic levels. Mechanistic studies revealed that EGCG and Pro-EGCG inhibit TGF-β-induced VEGF
production through suppression of the TGF-β/Smad and PKA-CREB signaling pathways. RNA sequencing
further validated the downregulation of VEGF expression following treatment. These findings highlight
the potential of EGCG as a novel adjuvant therapy for managing OHSS, providing a mechanistic basis for
its clinical application.
Keywords
OHSS, EGCG, VEGF pathway, OHSS animal model, RNA-Seq
Introduction
Ovarian Hyperstimulation Syndrome (OHSS) is
a severe complication associated with assisted
reproductive technologies (ARTs), particularly in in
vitro fertilization (IVF) procedures1. It is characterized
by excessive ovarian enlargement, often accompanied
by the formation of multiple ovarian cysts and
increased vascular permeability. This leads to fluid
extravasation into the abdominal and pleural cavities
2, resulting in significant morbidity and, in severe
cases, life -threatening complications. The severity of
Ivyspring
International Publisher
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OHSS varies widely, with symptoms ranging from
mild to severe. The reported incidence rate ranges
from 0.5% to 5%, depending on individual conditions
and the treatment protocols employed
3. Common
clinical symptoms include abdominal pain, bloating,
and respiratory distress. Severe cases may present
with ascites, pleural effusions, and electrolyte
imbalances4. Although the precise etiology of OHSS
remains unclear, it is primarily attributed to the
stimulation of multiple ovarian follicles by exogenous
gonadotropins. This overstimulation triggers
excessive vascular endothelial growth factor (VEGF)
release, which increases capillary permeability5.
VEGF plays a critical role in angiogenesis and
vascular permeability 6,7. Elevated VEGF levels,
mainly originating from hyperstimulated ovaries,
increase vascular permeability, causing fluid leakage
into the peritoneal and pleural cavities. This leads to
characteristic OHSS symptoms such as abdominal
distension, ascites, and respiratory distress
8. VEGF
and its receptors are expressed in granulosa cells of
preovulatory follicles and granulosa-lutein cells of the
corpus luteum 9-11. Notably, VEGF levels in follicular
fluid surpass those in serum and correlate with OHSS
severity12,13. Previous studies have shown that human
chorionic gonadotropin (hCG) increases VEGF
expression in human granulosa cells and elevates
serum VEGF concentrations
14-17. Significantly, both
animal models and human studies have highlighted
the therapeutic potential of targeting VEGF or its
receptors to prevent OHSS development18,19.
Epigallocatechin gallate (EGCG), a major
bioactive polyphenol found in green tea, has garnered
significant attention due to its diverse biological
effects and potential therapeutic applications in
female reproductive diseases, including polycystic
ovary syndrome (PCOS), endometriosis, and uterine
fibroids
20,21. EGCG is known for its antioxidant,
anti-inflammatory, and anti-cancer properties, as well
as its ability to modulate cell signaling pathways
involved in cell proliferation, apoptosis, and
angiogenesis
22. Studies have demonstrated that
EGCG inhibits VEGF and its receptor expression in
pathological processes such as gastric, ovarian, and
breast cancers
23-26. EGCG octaacetate (Pro -EGCG ), a
modified form of EGCG, enhances its stability and
bioavailability in vivo
27. However, there is limited
research on the effects of EGCG on women
experiencing OHSS during IVF treatment, and the
specific mechanisms through which EGCG exerts its
effects on OHSS remain unclear. In this study, we
investigated the effects of EGCG on OHSS and its
underlying molecular mechanisms using in vitro and
in vivo models.
Our findings show that EGCG or its prodrug,
Pro-EGCG, attenuates OHSS development in a rat
model. In KGN cells and primary human
granulosa-lutein (hGL) cells, both EGCG and
Pro-EGCG significantly reduce VEGF and VEGFR -2
expression. Furthermore, EGCG inhibits
TGF-β-induced VEGF production by suppressing the
canonical SMAD signaling pathway. Additionally,
EGCG downregulates VEGF expression via the
67-kDa laminin receptor -mediated PKA -CREB
pathway. These findings provide new insights into
the regulatory mechanisms underlying pathological
angiogenesis in OHSS and suggest that EGCG and its
derivatives could serve as potential therapeutic agents
for managing this condition.
Materials and methods
Cell cultures and reagents
The KGN cell line, a human granulosa -like
tumor cell line, possesses functional
follicle-stimulating hormone receptors, and it was
obtained from the laboratory of Prof. Weiyi Chen by
courtesy at the Chinese University of Hong Kong.
Primary human granulosa -lutein (hGL) cells were
isolated via density centrifugation from follicular
fluid collected from women undergoing oocyte
retrieval at the IVF laboratory of the Prince of Wales
Hospital, Hong Kong. Both KGN and hGL cells were
cultured in DMEM/F12 medium (Gibco) medium
supplemented with 10% charcoal/dextran- treated
fetal bovine serum (FBS) (Gibco), along with
100 U/mL penicillin and 100 μg/mL streptomycin
(Gibco). The cell cultures were maintained at 37 °C in
a humidified atmosphere containing 5% CO2.
Recombinant human TGF -β1 was procured from
R&D Systems. The pregnant mare serum
gonadotropin (PMSG) was obtained from Solarbio.
Antibodies against caspase -3 and the 67 -kDa laminin
receptor were purchased from Abcam, VEGF
antibody was acquired from Thermo Fisher Scientific,
Antibodies against phospho -CREB, CREB, SMAD2,
phospho-SMAD2, SMAD3, and phospho- SMAD3
were obtained from Cell Signaling Technology.
Detailed information regarding the antibodies used
for western blot analysis in this study is provided in
Supplemental Table 1.
Human follicular fluid collection
The studies involving clinical samples received
approval from the Joint Chinese University of Hong
Kong - New Territories East Cluster Clinical Research
Ethics Committee (CREC Ref No: 2018.533) for the
collection of human follicular fluid and the primary
granulosa cells. Infertile women meeting specific
criteria were enrolled in the study after providing
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written informed consent between September 2021
and December 2022. Detailed information about the
ovarian stimulation protocols is provided in a
previous study
28. The inclusion criteria were as
follows: women aged 20 -35 years with a BMI of
19-24.9, regular menstrual cycles, tubal factor
infertility or male factor infertility, and no
complications such as diabetes or abnormal thyroid
function. Exclusion criteria included polycystic
ovarian syndrome (PCOS), endometriosis, diminished
ovarian reserve, chromosomal abnormalities, or
hydrosalpinx. Follicular fluid was collected during
oocyte retrieval, and hGL cells were isolated and
purified using density centrifugation.
Cell intervention
KGN and hGL cells were cultured in 6 -well
plates (1 × 10 ⁶ cells/well) or 12 -well plates (5 × 10 ⁵
cells/well). When the cells reached approximately
80% confluence, they were treated with various
concentrations of EGCG (Sigma -Aldrich, #E4143) or
Pro-EGCG (Abcam, #ab145182) or dimethyl sulfoxide
(DMSO) (Sigma -Aldrich). DMSO was used as the
vehicle control, as both EGCG and Pro- EGCG were
dissolved in DMSO. To maintain consistency, the
control group received the same volume of DMSO as
the experimental groups. After treatment, cells were
harvested for protein and RNA extraction. To
investigate the effects of EGCG on the function of
TGF-β, KGN cells were pre- treated with EGCG ( 10
µM, 25 µM ) for 24 h, followed by treatment with
recombinant human TGF-β.
Cell viability and proliferation assays
KGN and hGL cells were seeded into 12 -well
plates at a density of 5 × 10⁴ cells per well or 96 -well
plates at a density of 1 × 10 ⁴ cells per well. For
cytotoxicity analysis, cells were allowed to reach
approximately 80% confluence before being treated
with varying concentrations of EGCG or Pro-EGCG in
serum-free F12/DMEM medium for specified
durations. For proliferation assays, treatments with
varying concentrations of EGCG or Pro -EGCG were
initiated immediately after seeding in F12/DMEM
medium supplemented with 10% FBS and continued
for the designated time points. For treatments
exceeding 24 h, the culture medium was replenished
daily with fresh drugs at the same concentrations.
Cell viability and proliferation were assessed
using the MTT assay and cell counting methods. For
the MTT assay, a solution of MTT in sterile PBS (5
mg/mL) was prepared and stored at 4 °C, protected
from light. A 10 µL aliquot of this MTT solution was
added to each well of a 96 -well plate, followed by
incubation at 37 °C in the dark for 4 hours. After
incubation, 100 µL of DMSO was added to each well
to dissolve the formazan crystals. Absorbance at 570
nm was measured using a spectrophotometric
microplate reader. For cell counting, images were
captured using a Leica microscope for analysis and
documentation. Live and dead cells were counted in
six random fields of view per well. The results were
used to evaluate cell proliferation and viability under
the specified treatment conditions.
Western blotting analysis
Cells were harvested and lysed using RIPA lysis
buffer (Cell Signaling Technology) containing 1%
protease inhibitors (Boster) on ice. After
centrifugation, the supernatant was carefully
collected, and protein concentration was determined
using a BCA assay kit (Bio -Rad). Equal amounts of
protein were mixed with 5X SDS protein loading
buffer (Solarbio) and heated at 100°C for 10 min.
Proteins were separated by SDS -PAGE (Bio -Rad
Laboratories) and transferred onto PVDF membranes
(Bio-Rad Laboratories). Membranes were blocked for
1 h in 5% non- fat dry milk dissolved in Tris -buffered
saline (TBS). After blocking, the membranes were
incubated overnight at 4°C with primary antibodies
diluted in 5% non- fat milk -TBS. Following primary
antibody incubation, membranes were washed five
times with TBS containing 0.1% Tween-20 (TBST). The
membranes were then incubated with
HRP-conjugated secondary antibodies for 1 h at room
temperature. Immunoreactive bands were visualized
using an enhanced chemiluminescent substrate
(Bio-Rad Laboratories), and imaging was performed
using a ChemiDoc MP Imager (Bio-Rad Laboratories).
Reverse transcription-quantitative real-time
PCR (RT-qPCR)
Total RNA was isolated and purified from cells
collected at the designated time points using the
RNeasy Mini Kit (Qiagen) or TRIzol reagent
(Invitrogen), following the manufacturer's
instructions. A 50 ng aliquot of RNA was reverse
transcribed into first -strand complementary DNA
(cDNA) using the cDNA Synthesis Kit (Takara Bio).
Each 20 μL qPCR reaction contained 1X TB Green
Premix Ex Taq (Takara Bio), 20 ng of cDNA, and 0.8
μM of the appropriate primer pairs. RT -qPCR was
performed using an Applied Biosystems 7500 Fast
Real-Time PCR System with a 96-well optical reaction
plate. The primer sequences used are listed in
Supplementary Table 1. Assay specificity was
validated by performing a melting curve analysis and
electrophoresis of the PCR products on an agarose gel.
All RT -qPCR experiments were carried out in
triplicate. Negative controls included water and RNA
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samples without reverse transcription. Relative
mRNA quantification was calculated using the
comparative Ct method, with GAPDH as the
Reference
gene, applying the 2
–∆∆Ct formula.
Small interfering RNA (siRNA) transfection
To downregulate endogenous mRNA
expression, cells were transfected with 50 nM
On-TARGETplus SMARTpool siRNAs targeting
specific genes (Dharmacon). Transfection was
performed using Lipofectamine RNAiMAX
(Invitrogen), following the manufacturer’s
instructions. A siCONTROL Non -TARGETING pool
siRNA (Dharmacon) was used as a control. After
transfection, cells were incubated for 48 hours before
proceeding with the experimental procedures. The
efficacy of gene knockdown was assessed by western
blot analysis.
Rat OHSS model
Female Sprague -Dawley (SD) rats, aged three
weeks and weighing between 32 -36 g, were obtained
from the Laboratory Animal Services Center at The
Chinese University of Hong Kong for the study. The
rats were housed in a controlled environment with
free access to food and water. Ethical approval for the
animal experiments was granted by The Chinese
University of Hong Kong Animal Experimentation
Ethics Committee.
A total of 32 female SD rats were randomly
assigned to four experimental groups (n = 8 per
group) using a computer -generated randomization
sequence to minimize selection bias. The groups
included a control group and three OHSS model
groups. OHSS was induced based on a modified
version of a previously established protocol to
enhance reproducibility
29. Specifically, 23 -day-old SD
rats received intraperitoneal injections of pregnant
mare serum gonadotropin (PMSG) at 10 IU/day for
four consecutive days. On the fifth day, human
chorionic gonadotropin (hCG) was administered
intraperitoneally at 10 IU to trigger ovulation. The
control group received a single injection of PMSG (7
IU) on the third day, followed by hCG (10 IU) 48
hours later.
To assess the therapeutic effects of EGCG and
Pro-EGCG, rats in the OHSS model groups were
treated with either vehicle control (DMSO) or
EGCG/Pro-EGCG (10 mg/kg, i.p. ) from day 4 to day
6. On the seventh day, all animals were euthanized
under anesthesia, and peripheral blood, ascitic fluid,
and ovarian tissue samples were collected for further
analysis. Investigators responsible for sample
collection and data analysis were blinded to the group
allocations to minimize potential bias. Body weights
were recorded every two days throughout the
experiment to monitor the health status of the
animals.
Histological staining and
immunohistochemistry (IHC) analysis
Ovarian tissue samples were obtained from
distinct cohorts of both control and OHSS rats. The
ovarian tissues were fixed in 4% paraformaldehyde
solution (Sigma) and then embedded in paraffin. The
embedded tissues were sectioned into 4 -μm-thick
slices. These sections underwent a series of
preparatory steps, including deparaffinization in
xylene, rehydration through an ethanol gradient,
antigen retrieval in citrate buffer (pH 9.0) by
microwave treatment, and blocking of endogenous
peroxidase activity with 3% hydrogen peroxide. Next,
the tissue sections were incubated overnight at 4°C
with anti-rat VEGF antibody at a 1:100 dilution. Prior
to antibody incubation, a blocking step was
performed at room temperature for 20 min using 5%
normal goat serum. After washing with PBS, the
tissue sections were visualized using the DAB
Substrate Kit (Dako, Denmark) and counterstained
with hematoxylin. Images were acquired using a
microscope and specialized software. The staining
intensity was evaluated semi-quantitatively using the
H-score method, which takes into account both the
intensity of staining and the proportion of positively
stained cells. The H -score was calculated using the
formula: H-score = Σpi(i+1), where ‘i’ represents the
staining intensity (1 = weak; 2 = moderate; 3 = strong),
and ‘pi’ denotes the percentage of cells exhibiting each
intensity (ranging from 0% to 100%). To ensure
objectivity, two independent researchers, blinded to
the experimental groups, performed the staining
intensity assessment.
Assessment of vascular permeability using
Evans Blue dye
Vascular permeability was assessed in rats via
intravenous injection of Evans Blue dye
(Sigma-Aldrich, #E2129) following a standardized
protocol. A 5% Evans Blue dye solution was prepared
by dissolving 20 mg of dye in 1 mL of sterile saline
and filtering it through a 0.22- μm syringe filter to
remove particulates. Rats were restrained, and the tail
was sterilized with 75% ethanol before injection.
Using a 30 G needle attached to a 1 mL syringe, 100 μL
of the prepared dye solution was administered into
the tail vein. The dye was allowed to circulate for 30
min to ensure uniform vascular distribution. After the
incubation period, the rats were euthanized by
intraperitoneal injection of a ketamine -xylazine
mixture, following guidelines approved by the
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Animal Experimentation Ethics Committee. To collect
peritoneal fluid, 3 mL of sterile saline was injected
into the abdominal cavity and allowed to rest for five
min. A 1 mL aliquot of the peritoneal fluid was then
collected, transferred to a 1.5 mL microcentrifuge
tube, and mixed with 200 μL of 0.1 M NaOH to
precipitate proteins. The samples were centrifuged at
2000 rpm for 10 minutes at 4°C, and the supernatant
was transferred to a fresh tube. The absorbance of the
supernatant was measured at 620 nm using a
microplate reader. A standard curve was generated
from known concentrations of Evans Blue dye to
quantify the dye content in each sample. Vascular
permeability was calculated and compared between
experimental groups to evaluate differences in
vascular leakage associated with OHSS.
Measurement of rat serum VEGF:
Enzyme-linked immunosorbent assay
The concentration of VEGF in rat serum samples
was determined using an enzyme -linked
immunosorbent assay (ELISA), following the
manufacturer’s instructions. The Rat VEGF ELISA kit
was purchased from R&D Systems (#RRV00).
Statistical analysis
Data are presented as the mean ± SEM from at
least three independent experiments. Statistical
analyses were performed using Prism 8 software. For
comparisons between two groups, a t -test was used.
For comparisons among multiple groups, a one -way
analysis of variance (ANOVA) was performed,
followed by Tukey's multiple comparison test. The
assumptions were checked by assessing normality
using the Shapiro -Wilk test. Effect sizes were
measured using Cohen’s d for t -tests and R² for
ANOVA. A p -value of less than 0.05 was considered
statistically significant.
Results
EGCG inhibits VEGF expression
It has been documented that, in physiological
conditions, the serum concentration of EGCG remains
below 1µM
30,31. However, with EGCG
supplementation, serum levels can elevate to as high
as 7 µM
32. To evaluate the effect of EGCG on Vascular
Endothelial Growth Factor (VEGF), KGN cells were
treated with EGCG at concentrations ranging from 1
to 50 µM. As shown in Figure 1A, treatment with
varying EGCG concentrations for 24 hours did not
significantly alter cell morphology. Cytotoxicity
assays demonstrated that the inhibitory effect of
EGCG on KGN cell proliferation depends on both
concentration and duration. Similarly, the cytotoxic
effect of EGCG on KGN cells showed a dose - and
time-dependent pattern (Figure 1B). Lower
concentrations of EGCG appeared to confer resistance
to cytotoxic effects, which may be attributed to
antioxidant properties. Cell counting provided
additional validation, showing results consistent with
those obtained from the MTT assay (Figure 1C). These
findings suggest that at lower concentrations and
shorter exposure times, EGCG within physiological
limits does not induce cytotoxic effects in KGN cells.
Caspase-3, a critical executioner caspase, plays a key
role in the final stages of apoptosis, mediating DNA
fragmentation, protein degradation, and membrane
blebbing
33. To confirm the apoptotic effect of EGCG in
KGN cells, western blot analysis was performed to
assess caspase-3 levels, with etoposide included as a
positive control. As shown in Figure 1D, only
treatment with 50 µM EGCG significantly increased
caspase-3 expression, indicating apoptosis induction.
Western blot analysis revealed that EGCG at
concentrations of 1 and 5 µM had no effect on VEGF
protein levels. In contrast, treatment with 10 µM, 25
µM, and 50 µM significantly downregulated VEGF
protein expression after 24 hours (Figure 1E). These
findings were supported by RT -qPCR results, which
showed consistent inhibition of VEGF mRNA levels
in KGN cells (Figure 1F). Previous research has
highlighted the critical role of VEGF and its receptor
VEGFR-2 in OHSS -related angiogenesis
19.
Interestingly, EGCG reduced VEGFR -2 mRNA levels
at concentrations of 5 µM and higher following 24
hours of treatment (Figure 1F). To investigate the
mechanisms underlying the effect of EGCG on VEGF
expression, experiments were conducted using 25 µM
EGCG. Western blot analysis confirmed significant
inhibition of VEGF protein expression after 24 hours
(Figure 1G). Additionally, RT -qPCR results showed
that EGCG reduced VEGF and VEGFR -2 mRNA
levels at both 12- and 24-hour time points (Figure 1H).
67LR-mediated PKA-CREB activation is
required for the EGCG-reduced VEGF
expression
To investigate the molecular mechanism
underlying EGCG-induced downregulation of VEGF
expression, it is crucial to determine whether EGCG
exerts its regulatory effects through direct
intracellular entry or by interacting with a membrane
receptor. The 67 -kDa laminin receptor (67LR) has
been well -documented as a membrane receptor for
EGCG, mediating its physiological functions
34.
Previous studies have shown that 67LR is expressed
in KGN cells and plays a critical role in
EGCG-induced activation of the PKA-CREB signaling
pathway, which promotes StAR expression and
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progesterone production in both KGN and hGL
cells35. To evaluate the involvement of 67LR in
EGCG-mediated VEGF suppression, specific siRNA
targeting 67LR (si-67LR) was used to knockdown the
endogenous 67LR mRNA levels in KGN cells.
Knockdown of 67LR partially mitigated the inhibitory
effects of EGCG on VEGF protein levels (Figure 2A).
The protein kinase A (PKA)/cAMP -responsive
element-binding protein (CREB) signaling cascade is a
well-established pathway mediating VEGF
expression downstream of 67LR. To examine the
influence of EGCG on CREB activation,
phosphorylated and total CREB levels were assessed
by western blot after EGCG treatment. EGCG
treatment increased CREB phosphorylation, with
maximal activation observed at 30 min (Figure 2B).
Figure 1. EGCG inhibits VEGF expression. (A) KGN cells were treated with vehicle control (DMSO) or various concentrations of EGCG (1 µM, 5 µM, 10 µM, 25 µM, and
50 µM) for 24 h, and cellular morphology was observed microscopically. (B, C) Cell viability (B) and proliferation (C) were evaluated via MTT assay and cell counting,
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respectively, following treatment with DMSO or EGCG at the indicated concentrations for 24, 48, and 72 h. (D) Western blot analysis of caspase-3 protein levels in KGN cells
treated with DMSO or EGCG (5 µM, 10 µM, 25 µM, and 50 µM) for 24 h. Etoposide (50 µM and 100 µM) was included as a positive control. (E, F) VEGF protein expression (E)
and VEGF/VEGFR-2 mRNA levels (F) were determined by western blot and RT-qPCR, respectively, in KGN cells treated with DMSO or EGCG at the specified concentrations
for 24 h. (G, H) Time-course experiments were conducted to assess VEGF protein expression (G) and VEGF/VEGFR-2 mRNA levels (H). KGN cells were treated with DMSO
or 25 µM EGCG for 3, 6, 12, and 24 h (G) or for 1, 3, 6, 12, and 24 h (H). Results are presented as the mean ± SEM from at le ast three independent experiments. Significant
differences are denoted by asterisks (*p < 0.05, **p < 0.01).
In cells treated with si -67LR, EGCG- induced
CREB activation was attenuated (Figure 2C). To
further investigate the role of the CREB pathway in
EGCG-mediated VEGF suppression, the PKA
inhibitor H89 was employed. Pre- treatment of KGN
cells with H89 abolished the suppressive effects of
EGCG on VEGF protein levels (Figure 2D). To confirm
the necessity of CREB and rule out potential off-target
effects of pharmacological inhibitors, CREB
expression was downregulated using specific siRNA
(si-CREB). Knockdown of CREB inhibited the
suppressive effect of EGCG on VEGF protein levels
(Figure 2E). Finally, to confirm the role of PKA in the
CREB pathway, KGN cells were pre-treated with H89,
which significantly blocked the phosphorylation of
CREB, as shown by western blot analysis (Figure 2F).
These results collectively highlight the requirement of
67LR-mediated PKA -CREB activation for
EGCG-induced downregulation of VEGF expression
in KGN cells.
EGCG inhibits VEGF expression via TGF-β
signaling pathways
TGF-β, a multifunctional cytokine involved in
various physiological and pathological processes,
including angiogenesis and tissue remodeling, plays a
key role in stimulating VEGF expression and secretion
in human granulosa -lutein cells via the classical
SMAD signaling pathway
36. This stimulation
enhances angiogenesis and vascular permeability,
suggesting a potential contribution to OHSS. The
classical SMAD pathway is initiated when TGF -β
ligands bind to cell surface receptors, such as the
TGF-β type 2 receptor (TβRII). This interaction
triggers the phosphorylation of receptor -regulated
SMADs (R-SMADs), including SMAD2 and SMAD3.
The phosphorylated R -SMADs form complexes with
SMAD4 and translocate into the nucleus, where they
interact with transcriptional partners to regulate gene
expression
37. EGCG has been shown to inhibit TGF -β
signaling by directly interacting with TβRII 38. This
interaction plays a crucial role in modulating TGF -β
signaling pathways and has potential therapeutic
implications for managing OHSS. Molecular docking
analysis, illustrated in Figure 3A, demonstrates the
potential binding position of EGCG with TβRII.
Previous research confirmed that treating KGN cells
with TGF-β for 3 hours significantly increased VEGF
expression
36. However, pre- treatment with varying
concentrations of EGCG prior to TGF -β exposure
significantly reduced VEGF expression at both the
mRNA and protein levels (Figure 3B). This
suppression highlights the effectiveness of EGCG in
counteracting the TGF -β-induced increase in VEGF.
The activation of TGF -β involves phosphorylation of
SMAD2 and SMAD3, which subsequently bind to the
common mediator SMAD4. Western blot analysis
confirmed the phosphorylation and activation of
SMAD2 (Figure 3C) and SMAD3 (Figure 3D)
following TGF-β treatment. Pre-treatment with EGCG
significantly reduced the levels of phosphorylated
SMAD2 and SMAD3, demonstrating its inhibitory
effect on their activation. To further explore the role of
the classical SMAD signaling pathway in the
reduction of TGF -β-induced VEGF expression by
EGCG, endogenous SMAD4 expression was silenced
using specific siRNA (si -SMAD4). Silencing SMAD4
attenuated the ability of EGCG to suppress VEGF
expression, confirming the involvement of SMAD4 in
this regulatory mechanism.
EGCG and Pro-EGCG exhibit similar cytotoxic
effects and effectively reduce the expression of
VEGF and VEGFR-2
EGCG is known to exhibit poor bioavailability
due to low absorption, rapid metabolism, and
reduced stability. To address these limitations, a
modified variant, Pro -EGCG, has been developed,
offering improved stability, bioavailability, and
biological activity in vivo . Pro -EGCG has
demonstrated significant inhibitory effects on the
development, growth, and angiogenesis of
experimental endometriosis in mice. In this study, the
effects of EGCG and Pro -EGCG on KGN cell
proliferation were assessed using the MTT assay at
various concentrations and time points (Figure 4A).
EGCG effectively suppressed KGN cell proliferation,
particularly at higher concentrations and longer
durations. Notably, Pro -EGCG exhibited an even
stronger proliferation-suppressive effect compared to
EGCG. The cytotoxicity of EGCG and Pro -EGCG on
KGN cells was also evaluated using the MTT assay
(Figure 4B). EGCG showed cytotoxic effects starting at
25 µM after 48 hours. In contrast, Pro -EGCG
demonstrated significant cytotoxicity at lower
concentrations and shorter durations, highlighting its
greater potency.
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Figure 2. 67LR -mediated PKA-CREB activation is required for EGCG -induced reduction in VEGF expression. (A) KGN cells were transfected with 50 nM
control siRNA (si-Ctrl) or 67LR siRNA (si -67LR) for 48 h, followed by treatment with 25 µM EGCG for 24 h. Protein levels of VEGF, 67 -kDa laminin receptor (67LR), and
α-Tubulin were analyzed by western blot. (B) Phosphorylated and total CREB protein levels were assessed via western blot in KGN cells treated with 25 µM EGCG for 30 or
60 min. (C) KGN cells were transfected with 50 nM si-Ctrl or si-67LR for 48 h and then exposed to 25 µM EGCG for 30 min. Protein levels of phosphorylated and total CREB,
along with 67LR, were examined by western blot. (D) KGN cells were pre-treated with vehicle control (DMSO) or 1 µM H89 for 1 h before treatment with 25 µM EGCG for
24 h. Protein levels of VEGF and α-Tubulin were measured via western blot. (E) KGN cells were transfected with 50 nM si-Ctrl or CREB siRNA (si-CREB) for 48 h, followed by
treatment with 25 µM EGCG for 24 h. Western blot analysis was performed to evaluate protein levels of VEGF, CREB, and α-Tubulin. (F) Phosphorylated and total CREB protein
levels were evaluated by western blot in KGN cells pre-treated with DMSO or 1 µM H89 for 1 h, followed by treatment with 25 µM EGCG for 30 min. Results are presented
as the mean ± SEM from at least three independent experiments. Significant changes are indicated by asterisks (*p < 0.05, **p < 0.01).
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Figure 3. EGCG inhibits VEGF expression via TGF-β signaling pathways. (A) Molecular docking analysis demonstrates the interaction between EGCG and TGF-β
receptor type II (TβRII). (B) KGN cells were pre-treated with vehicle control (DMSO), 10 µM EGCG, or 25 µM EGCG for 24 h, followed by stimulation with 5 ng/mL TGF-β
for 3 h. VEGF and α-Tubulin protein levels were analyzed by western blot (left panel). VEGF mRNA levels were determined by western blot and RT-qPCR (right panel). (C) KGN
cells were pre-treated with DMSO or 25 µM EGCG for 24 h, then treated with 5 ng/mL TGF-β for 30 min. Western blot analysis was performed to assess phosphorylated and
total SMAD2 protein levels, with α-Tubulin serving as a loading control. (D) Phosphorylated and total SMAD3 protein levels were also analyzed under the same conditions using
western blot. (E) KGN cells were transfected with 50 nM control siRNA (si-Ctrl) or SMAD4 siRNA (si-SMAD4) for 48 h, followed by exposure to 25 µM EGCG for 30 min.
Protein levels of VEGF, SMAD4, and α-Tubulin were evaluated by western blot. Results are presented as the mean ± SEM of at least three independent experiments. Significant
differences are indicated by asterisks (*p < 0.05, **p < 0.01).
The regulatory effects of Pro -EGCG on VEGF
and VEGFR-2 expression in KGN cells were examined
in a concentration- dependent manner over 24 hours
(Figure 4C). Compared to the inhibitory effects of
EGCG on VEGF and VEGFR-2 (Figure 1F), Pro-EGCG
exhibited greater efficiency, suppressing VEGF and
VEGFR-2 RNA expression at lower concentrations.
The time-dependent effects of EGCG and Pro -EGCG
on VEGF expression were also evaluated at the same
concentration (Figure 4D). Both compounds inhibited
VEGF expression at all time points; however, EGCG
reached its maximum effect at 48 hours, while
Pro-EGCG achieved similar results within 24 hours.
Both compounds suppressed VEGFR -2 expression
across all time points in a time -dependent manner.
Further analysis was conducted on primary human
granulosa cells treated with DMSO, EGCG, or
Pro-EGCG. These treatments significantly reduced
VEGF and VEGFR -2 expression at both the RNA
(Figure 4E) and protein levels (Figure 4F).
EGCG or Pro-EGCG alleviate OHSS in rats
To further explore the modulatory effects of
EGCG and Pro -EGCG on OHSS pathogenesis, we
developed an OHSS rat model and evaluated these
compounds as potential treatments. Consistent with
previous findings, induction of OHSS led to
significant ovarian enlargement and increased
ovarian weight
39,40. Treatment with EGCG or
Pro-EGCG effectively alleviated the severity of these
symptoms (Figures 5A -C). Histological analysis
confirmed a higher number of corpora lutea in OHSS
rats compared to the control group, consistent with
earlier studies40. Treatment with EGCG or Pro -EGCG
significantly reduced the number of corpora lutea in
OHSS rats (Figures 5D, 5E).
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Figure 4. EGCG and Pro -EGCG exhibit similar cytotoxic effects and effectively reduce VEGF and VEGFR -2 expression. (A) KGN cells were treated with
vehicle control (DMSO) or varying concentrations of EGCG (upper panel) or Pro-EGCG (lower panel) for 0, 24, 48, and 72 h. Cell viability was assessed using the MTT assay.
(B) Cytotoxicity was further evaluated under the same conditions as in (A) using the MTT assay. (C) KGN cells were treated with DMSO or different concentrations of
Pro-EGCG for 24 h, and VEGF and VEGFR-2 mRNA levels were quantified by RT-qPCR. (D) KGN cells were exposed to DMSO, 10 µM EGCG, or 10 µM Pro-EGCG for 24,
48, and 72 h. VEGF and VEGFR-2 mRNA levels were analyzed by RT-qPCR. (E) Primary hGL cells were treated with DMSO, 10 µM EGCG, or 10 µM Pro-EGCG for 24 h, and
VEGF and VEGFR-2 mRNA levels were determined by RT-qPCR. (F) Protein levels of VEGF in primary hGL cells were examined by western blot after treatment with DMSO,
10 µM EGCG, or 10 µM Pro-EGCG. Results are presented as the mean ± SEM from at least three independent experiments. Significant differences are denoted by asterisks (*p
< 0.05, **p < 0.01).
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Figure 5. EGCG and Pro-EGCG alleviate OHSS development in rats. (A) Representative images of ovaries from each experimental group. (B, C) Ovarian weight (B)
and ovarian weight normalized to body weight (C) were measured after euthanasia. (D) Representative H&E -stained ovarian sections. Images were captured at 400×
magnification; scale bars represent 50 μm. (E) Percentage of corpora lutea in ovarian sections was quantified (n = 4 per group). (F) Representative IHC staining of ovarian tissues
for VEGF, with images captured at 400× magnification; scale bars represent 50 μm. (G) Quantitative analysis of VEGF protein expression in ovarian tissues based on IHC staining.
VEGF expression was evaluated as positive staining intensity. (H-J) mRNA levels of VEGF (H), VEGFR-2 (I), and TGF-β (J) in rat ovaries were quantified by RT-qPCR. (K) Levels
of Evans Blue dye in peritoneal fluid were measured at OD620 nm across different groups. (L) Serum VEGF protein levels were quantified using ELISA. Results are presented as
the mean ± SEM from at least three independent experiments. Significant differences are indicated by asterisks (*p < 0.05, **p < 0.01).
Int. J. Biol. Sci. 2025, Vol. 21
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Immunohistochemistry revealed a marked
upregulation of VEGF expression in granulosa cells,
luteal cells, and stromal cells within the ovaries of
OHSS rats. Administration of EGCG or Pro -EGCG
significantly attenuated VEGF expression in these
ovarian tissues (Figures 5F, 5G). RT -qPCR analysis
further demonstrated that VEGF mRNA levels were
elevated in the ovaries of OHSS rats. This upregula -
tion was significantly suppressed by treatment with
EGCG or Pro -EGCG (Figure 5H). Similarly, mRNA
levels of VEGFR -2 and TGF -β were significantly
increased in OHSS rat ovaries but were effectively
reduced following treatment with EGCG or Pro -
EGCG (Figures 5I, 5J). To validate the effects of EGCG
and Pro-EGCG on vascular permeability in the OHSS
model, Evans Blue dye was used. Vascular
permeability was significantly elevated in OHSS rats
compared to controls. Treatment with EGCG or
Pro-EGCG significantly reduced this increase in
vascular permeability (Figure 5K). Lastly, VEGF levels
in rat serum were quantified using an ELISA assay.
Serum VEGF levels were significantly higher in OHSS
rats, consistent with the pathogenesis of the condition
(Figure 5L). Importantly, administration of EGCG or
Pro-EGCG led to a marked reduction in serum VEGF
levels.
RNA sequencing results in KGN cells Treated
with EGCG or Pro-EGCG
To validate the transcriptomic changes in KGN
cells following treatment with EGCG and Pro-EGCG,
we subjected these KGN cells treated by EGCG or
Pro-EGCG to RNA-Seq analysis. The top 200 upregu -
lated and downregulated genes were represented in
Figure 6A. The Venn diagram illustrates that 11,258
genes were co -expressed across different groups
(Figure 6B). The Principal Component Analysis (PCA)
Results
of the samples highlight the robustness and
reliability of the observed differences in gene
expression among the control and treated groups
(Figure. 6C). The statistics of the number of
differential genes (including up -regulation and
down-regulation) for each compare group and the
threshold for screening are shown in Figure 6D.
Comparing the EGCG- treated group to the control
group, the results revealed that 627 genes were
up-regulated, while 964 genes were down -regulated.
In the case of the Pro- EGCG-treated group compared
to the control group, 1062 genes were up -regulated,
while 1416 genes were down -regulated. These
findings provide insights into the specific gene
expression alterations induced by EGCG and
Pro-EGCG treatments in relation to the control group.
The volcano plot depicting the comparison of gene
expression levels between EGCG -treated and control
cells was highlighted the expression of VEGFa (Figure
6E), same in volcano plot depicting the comparison of
gene expression levels between Pro -EGCG treated
and control cells (Figure 6F). GO, an acronym for
Gene Ontology, represents a prominent bioinforma -
tics framework aimed at standardizing the delineation
of gene attributes across diverse species. Comprising
three primary categories, namely cellular component,
molecular function, and biological process, GO facili -
tates a comprehensive understanding of gene func -
tionalities. Following a rigorous GO enrichment ana -
lysis, the top 30 GO Terms, deemed most statistically
significant, were meticulously curated for presenta -
tion and analysis (Figure 6E, 6G). The RNA -seq ana-
lysis provides further confirmation that both EGCG
and Pro -EGCG treatments significantly reduce the
expression of VEGF, corroborating our earlier study.
Discussion
While the occurrence of severe OHSS is
relatively infrequent, it persists as a substantial and
concerning complication associated with in vitro
fertilization procedures. The incident of OHSS is
heavily monitored by all local ART regulatory bodies.
The pathophysiology of OHSS, although extensively
studied, remains enigmatic, resulting in predomi -
nantly empirical and anticipatory clinical manage -
ment approaches. A range of strategies has been
deployed to preclude the onset of OHSS, including
reducing gonadotropin dosages, employing GnRH
antagonists for ovulation triggering, implementing
cryopreservation techniques, considering cycle
cancellation, and others
41-43. Nonetheless, none of
these approaches have proven entirely effective in
providing comprehensive protection against the
development of OHSS. Consequently, the pursuit of
an optimal pharmaceutical intervention to proactively
forestall this potentially life -threatening complication
remains a paramount challenge within the domain of
assisted reproductive technologies. Recognizing the
central involvement of VEGF in OHSS pathogenesis,
interventions aimed at VEGF modulation have been
harnessed as a preventive measure against this
syndrome
19. To the best of our knowledge, this is the
first study to demonstrate the therapeutic potential of
EGCG and its derivative, Pro -EGCG, in alleviating
OHSS, providing novel evidence of their efficacy in
both in vitro and in vivo models. Our findings reveal
that EGCG treatment suppresses VEGF production by
inhibiting the TGF-β/Smad and PKA-CREB signaling
pathways, highlighting a previously unrecognized
mechanism. These results establish EGCG as a
promising adjuvant therapy for OHSS, offering a
strong mechanistic foundation for its potential clinical
application.
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3057
Figure 6. RNA-sequencing results in KGN cells treated with EGCG and Pro-EGCG. (A) Heatmap displaying the top 200 most upregulated and downregulated genes.
(B) Venn diagram illustrating co-expression of genes across different treatment groups. (C) Principal component analysis (PCA) of all samples to visualize variance and clustering.
(D) Bar chart showing the number of differentially expressed genes (DEGs) in each group comparison. (E) Volcano plot depicting gene expression differences between
EGCG-treated and control cells. (F) Volcano plot showing gene expression differences between Pro-EGCG-treated and control cells. (G) GO (Gene Ontology) enrichment
analysis scatter plot for EGCG -treated versus control cells, highlighting GO terms with significant enrichment (padj < 0.05). (H) GO enrichment analysis scatter plot for
Pro-EGCG-treated versus control cells, showing significantly enriched GO terms (padj < 0.05).
Int. J. Biol. Sci. 2025, Vol. 21
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This study delved into the therapeutic potential
of EGCG and its modified form, Pro -EGCG, as agents
for OHSS treatment. EGCG is a naturally occurring
compound found in green tea and has a
well-established safety profile, making it a promising
candidate for therapeutic use. Its accessibility and
cost-effectiveness contribute to its appeal as a
potential treatment. Investigations revealed that
EGCG exerts inhibitory effects on key factors such as
VEGF and its receptor VEGFR-2, which are implicated
in the pathogenesis of OHSS. This suggests that
EGCG may help mitigate the angiogenic and vascular
permeability processes responsible for OHSS
development. In essence, the multifaceted benefits of
EGCG, including safety, affordability, and capacity to
target key factors in OHSS pathophysiology,
underscore its potential as a valuable therapeutic
approach for addressing this complex syndrome.
A pivotal aspect of the study involved
deciphering the mechanisms through which EGCG
exerts an inhibitory effect on VEGF expression.
Findings indicated that EGCG interacts with the 67LR
and subsequently triggers the protein kinase A
(PKA)/cAMP-responsive element -binding protein
(CREB) signaling pathway, resulting in the
suppression of VEGF expression. While previous
research suggested that TGF -β stimulation can
enhance VEGF expression through the classical
SMAD signaling pathway, this study, for the first
time, shed light on the specific molecular events
through which EGCG inhibits VEGF in KGN cells and
primary human granulosa cells. The interaction
between TGF -β and EGCG was investigated to
understand how TGF -β might be involved in EGCG
effects. TGF-β is a multifunctional cytokine known to
participate in various physiological and pathological
processes, including angiogenesis and tissue
remodeling. Previous studies confirmed that EGCG
binds to TGF -β type II receptor (TβRII), effectively
hindering TGF-β actions by disrupting its interaction
with TβRII in MRC -5 cells
38. Many studies also
investigated EGCG inhibitory effects on TGF -β
through SMAD or ERK1/2 signaling pathways 44,45.
This study establishes a novel link between
EGCG capability to inhibit VEGF expression and the
classical SMAD signaling pathway associated with
TGF-β. The results suggest that EGCG capacity to
interact with TGF -β receptors, particularly TβRII,
enables it to interfere with the activation of SMAD2
and SMAD3. This interference disrupts their
translocation into the nucleus, where they typically
engage with transcriptional partners to regulate gene
expression. Consequently, this interference results in
downstream effects on the expression of genes
pertinent to angiogenesis, such as VEGF and its
receptor VEGFR -2, both of which are pivotal in the
context of OHSS pathogenesis. This elucidation of the
precise mechanisms underpinning VEGF modulation
provides a foundational understanding of the
potential therapeutic effects of EGCG in OHSS.
Pro-EGCG demonstrated robust proteasome
inhibition and induction of cell death in cancer cells
46.
Its potency surpassed that of EGCG in inhibiting
proliferation, transforming activity, and inducing
apoptosis in various human cancer cell types,
including breast, prostate, leukemic, and simian virus
40-transformed cells
47. Consistent with previous
research, this study revealed that Pro-EGCG exhibited
superior efficacy compared to EGCG in inhibiting
proliferation and inducing cytotoxicity in KGN cells.
These findings further support the notion that
Pro-EGCG possesses potent cell death -inducing
properties and outperforms EGCG in terms of
efficiency. Additionally, this study confirmed that
Pro-EGCG effectively inhibited the expression of
VEGF and its receptor in KGN cells. Notably, the
inhibitory effects on VEGF and its receptor were
observed at lower concentrations compared to EGCG,
providing further evidence of its enhanced efficiency.
Previous studies demonstrated that Pro -EGCG and
EGCG do not affect ovarian follicles in mice ovaries,
suggesting that this natural anti -angiogenic agent
may not disrupt normal ovulation
27. Consequently,
Pro-EGCG emerges as a stable and potent green tea
polyphenol with the potential to serve as a novel
anti-angiogenic agent for OHSS.
The time -dependent inhibitory effects of EGCG
and Pro-EGCG on VEGF and VEGFR -2 expression in
KGN cells are noteworthy. The differential optimal
time points for each compound indicate that their
mechanisms of action may involve distinct pathways
and kinetics. Therefore, further investigations are
warranted to elucidate the specific mechanisms of
action for Pro- EGCG in the context of OHSS.
Additionally, due to the limitations imposed by the
sample size in this study, additional experiments are
needed to confirm the effects of Pro-EGCG in primary
hGL cells. Interestingly, the study revealed that
Pro-EGCG, despite its enhanced stability and
bioavailability, did not exhibit a significantly stronger
therapeutic effect in the OHSS animal model when
compared to EGCG. This unexpected finding raises
important questions about the nuanced interactions of
these compounds with the complex biological
pathways implicated in OHSS. Potential explanations
for this observation could include differences in
pharmacokinetics, tissue distribution, or specific
interactions with the OHSS pathogenic cascade.
Further research in these areas will provide a more
comprehensive understanding of the therapeutic
Int. J. Biol. Sci. 2025, Vol. 21
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3059
potential and underlying mechanisms of Pro-EGCG in
the management of OHSS.
Despite their potential, EGCG and Pro -EGCG
have several limitations. The poor bioavailability and
rapid metabolism of EGCG may restrict its clinical
utility27,48, while the long -term safety and
pharmacokinetics of Pro- EGCG remain insufficiently
explored. Both compounds exhibit dose -dependent
cytotoxicity and broad-spectrum activity on signaling
pathways, including PI3K/AKT and MAPK, which
raises concerns about potential off -target effects 49.
Additionally, translating findings from animal
models to human applications presents challenges
due to interspecies differences in drug metabolism
and ovarian physiology. Future research should focus
on conducting clinical trials to assess the safety,
efficacy, and pharmacodynamics of Pro- EGCG in
human populations.
In conclusion, our study highlights the
therapeutic potential of EGCG for mitigating OHSS
and elucidates its mechanisms of action, particularly
its modulation of VEGF expression. While Pro -EGCG
offers improved stability and potency, its similar
efficacy to EGCG in OHSS warrants further
investigation. These findings contribute to the
growing understanding of OHSS pathogenesis and
offer a foundation for refining therapeutic strategies
in assisted reproductive technologies.
Supplementary Material
Supplementary tables.
https://www.ijbs.com/v21p3045s1.pdf
Acknowledgements
Funding
We would like to thank the Hong Kong OG
Trust Fund (Ref 6906795 and 6904985) and the Hong
Kong government for their support through the Hong
Kong Research Matching Grant (RMG01 -8601386) for
this basic clinical research. This work was also
supported by operating grants from the National
Natural Science Foundation of China (32070848,
32371169 to Lanlan Fang, and 32170868 to Jung-Chien
Cheng). Special thanks to our IVF team members for
their invaluable support in advancing innovative
research.
Author contributions
DLYC, JCC, and YPS conceived and supervised
the study. SW and LLF wrote the original draft of the
manuscript. TL, JPWC, and DLYC revised the
manuscript. SW., LC, QJ, WW, MZ, KKF, and VCML
performed the experiments and analyzed the data.
Consent for publication
All authors read and approved the final
manuscript for publication.
Competing interests
The authors have declared that no competing
interest exists.
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