Introduction
Endometriosis is a chronic inflammatory gynecological disorder affecting approximately 10 –
15% of women of reproductive age and is a major cause of chronic pelvic pain, infertility, and
reduced quality of life [1]. The disease is characterized by the presence of endometrial -like
tissue outside the uterine cavity, most commonly on the ovaries, peritoneum, and pelvic
ligaments. Although its etiology remains incompletely understood, endometriosis is widely
recognized as a multifactorial disease involving aberrant hormonal signaling, immune
dysregulation, chronic inflammation, and extracellular matrix (ECM) remodeling [2]. A
defining feature of endometriosis is the ability of ectopic endometrial cells to adhere, invade,
and establish persistent lesions at distant anatomical sites [3] [4]. These processes are closely
associated with excessive ECM remodeling, fibrosis, and adhesion formation, which contribute
to pelvic pain, infertility, and progressive distortion of pelvic anatomy [5] [6]. The
establishment and progression of endometriotic lesions are strongly influenced by dysregulated
ECM turnover and persistent inflammatory signaling. Cytokines such as transforming growth
factor-β1 ( TGF-β1) and interleukin -4 (IL -4) have been implicated in fibrosis and tissue
remodeling within the endometriotic microenvironment [7] [8]. TGF-β1 promotes fibroblast-
to-myofibroblast differentiation and excessive collagen deposition, whereas IL -4 contributes
to fibroblast proliferation and ECM accumulation through the induction of collagen-associated
genes and connective tissue growth facto rs [9] [10]. Elevated levels of IL -4 in the peritoneal
fluid and endometriotic lesions suggest that persistant cytokine signaling contributes to
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aberrant tissue repair and lesion formation during endometriosis [11] [12] [13]. Matrix
metalloproteinases (MMPs) and their endogenous tissue inhibitors (TIMPs) are central
regulators of ECM homeostasis. Among them, tissue inhibitor of metalloproteinase-2 (TIMP-
2) plays a critical role in maintaining ECM integrity by regulating MMP activity and
controlling matrix degradation [14]. In addition to its inhibitory effects on proteolysis, TIMP -
2 also influences cell –matrix interactions, angiogenesis, and tissue remodeling [15], [16].
Altered TIMP-2 expression has been associated with enhanced invasion, fibrosis, and abnormal
tissue remodeling in endometriosis [17]. Previous studies have further suggested that TIMP-2
expression may be influenced by inflammatory cytokines and genetic polymorphisms within
its promoter sequence [18], [19], [20]. However, the molecular mechanisms regulating TIMP-
2 transcription under inflammatory conditions in endometriosis remain poorly understood. A
functional polymorphism within the TIMP-2 promoter region, −418 G>C, has been reported to
influence transcriptional activity and disease susceptibility. This polymorphic substitution lies
within a predicted SP1 -binding site and influence basal promoter activity as well as
transcription factor recruitment [21],[22]. SP1 is an important transcription factor involved in
the regulation of genes associated with ECM remodeling, inflammation, and cellular
proliferation. Previous studies have demonstrated that SP1 and NF -Y cooperatively regulate
TIMP-2 promoter activity, suggesting that alterations at the −418 site may influence TIMP -2
expression in a context-dependent manner [23], [24]. Clinically, the −418 G/C polymorphism
has been associated with altered susceptibility to several pathological conditions, including
endometriosis and cancer [20]. In addition to genetic regulation, inflammatory cytokine
signaling may further modulate TIMP -2 transcriptional activity. In support IL-4 has been
reported to be elevated in endometriosis and is known to regulate multiple transcriptional
pathways associated with fibrosis and chronic inflammation [25], [26], [27]. Evidence
suggesting a correlation between IL-4 signaling and TIMP-2 expression in adhesion-associated
tissues raises the possibility that inflammatory cytokines may regulate TIMP -2 through SP1-
dependent transcriptional mechanisms [28]. In the present study, we investigated the molecular
mechanisms regulating TIMP -2 expression in endometriosis through genetic, inflammatory,
and transcriptional analyses. We further examined the association of the TIMP -2 −418 G/C
promoter polymorphism with endometriosis susceptibility in an eastern Indian population and
evaluated the functional activity of the G and C allelic promoter variants under basal, IL -4–
stimulated, and SP1 -modulated conditions. In parallel, tissue -based analyses and single -cell
transcriptomic profiling were performed to characterize TIMP -2 expression profile,
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inflammatory signaling pathways, and cell –cell communication networks associated with
endometriosis progression.
2. Materials and Methods
2.1. Clinical samples and ethics approval
Patients presenting with symptoms including primary or secondary infertility, abdominal pain,
rectal pain, and chest pain were referred to the Gynaecology Division of Spectrum Clinic &
Endoscopy Research Institute (Kolkata, India), where laparoscopic evaluation was performed
for diagnostic confirmation of endometriosis. Endometriotic lesions were staged according to
the revised American Society for Reproductive Medicine (rASRM) classification system.
The study protocol was approved by the Human Ethics Committee of the Indian Institute of
Chemical Biology (Approval No. IICB/IRB/SS02-2015) and the Human Ethics Committee of
Spectrum Clinic & Endoscopy Research Institute (Approval No. SCERI -IEC015). Written
informed consent was obtained from all participants prior to sample collection.
The study cohort represented the eastern Indian population, including West Bengal and
neighboring states. Women aged 18 –40 years with surgically confirmed endometriosis were
included in the study. Exclusion criteria included pregnancy, lactation, previous hysterectomy
or bilateral oophorectomy, and the presence of other gynecological or oncological disorders.
Clinical history, demographic information, and disease characteristics were recorded for all
participants. Tissue grading and blood collection were performed during the proliferative phase
of the menstrual cycle. Control samples were obtained from women with proven fertility (≥1
child) and no clinical or laparoscopic evidence of endometriosis or other gynecological
diseases.
2.2. Serum and tissue collection
Peripheral blood samples were collected aseptically in EDTA-coated tubes and stored at 4 °C
until genomic DNA extraction using the QIAamp DNA Blood Midi Kit (Qiagen, Germany).
Serum samples were separated, supplemented with protease inhibitor cocktail (Sigma-Aldrich,
USA), and stored at −80 °C until further analysis.
Tissue samples were divided into two portions immediately after collection. One portion was
fixed in 4% paraformaldehyde for immunofluorescence studies, while the remaining tissue was
snap-frozen and stored at −80 °C for molecular and protein analyses.
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2.3. Genotyping of TIMP-2 −418 G/C polymorphism
Genotyping of the TIMP -2 −418 G/C polymorphism was performed using the polymerase
chain reaction–restriction fragment length polymorphism (PCR–RFLP) method. The promoter
region was amplified using the following primers:
Forward: 5′-CGTCTCTTGTTGGCTGGTCA-3′
Reverse: 5′-CCTTCAGCTCGACTCTGGAG-3′
Each PCR reaction contained 10 ng genomic DNA, 0.3 mM of each primer, and 10 μL Premix
Taq V2.0 (XcelGen , India). Amplification was carried out under the following conditions:
initial denaturation at 95 °C for 5 min, followed by 30 cycles of denaturation at 95 °C for 30 s,
annealing at 55 °C for 30 s, and extension at 72 °C for 30 s, with a final extension s tep at 72
°C for 7 min. Amplified products were digested with BsoBI restriction enzyme (Takara Bio,
Japan) and resolved on 2% agarose gels containing ethidium bromide.
2.4. Generation of TIMP-2 promoter–reporter constructs
The TIMP-2 promoter region was amplified from genomic DNA obtained from individuals
carrying either the GG or CC genotype at the −418 site. The following primers were used:
Forward: 5′-GAGGTACCGGCCACCCGCCCACAGAAACGGGG-3′
Reverse: 5′-CAGAGCTCGCGGCCGCGCTGCCTTCTACGGATGTGTTTG-3′
KpnI and SacI restriction sites are indicated within the primer sequences. Amplified promoter
fragments spanning the −499 to +32 bp region of the TIMP -2 promoter were cloned into the
pGL4.72 luciferase reporter vector (Promega, USA) at the KpnI and SacI restriction sites.
Constructs containing either the G or C allele at the −418 polymorphic site were confirmed by
DNA sequencing. Endotoxin-free plasmid DNA was prepared using the Promega Endotoxin -
Free Plasmid DNA Purification Kit.
2.5. Cell culture
Human endometrial epithelial cell lines Ishikawa and RL95 -2, endometrial stromal cell line
KC02-44D, ovarian adenocarcinoma cell lines SK -OV-3 and OVCAR -3, and breast
adenocarcinoma cell line MCF -7 were obtained from the American Type Culture Collection
(ATCC, USA). Ishikawa, RL95 -2, and KC02 -44D cells were maintained in Dulbecco’s
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Modified Eagle Medium/F12 (DMEM/F12; Gibco, USA) without phenol red. MCF -7 cells
were cultured in Dulbecco’s Modified Eagle Medium (DMEM; Gibco), whereas SK-OV-3 and
OVCAR-3 cells were maintained in RPMI -1640 medium (Gibco). OVCAR -3 cells were
supplemented with 20% fetal bovine serum (FBS). All media were supplemented with 10%
FBS, 100 U/mL penicillin, and 100 μg/mL streptomycin. Cells were maintained at 37 °C in a
humidified atmosphere containing 5% CO₂.
2.6. Luciferase reporter assays and IL-4 stimulation
Transient transfection assays were performed using Lipofectamine 2000 (Invitrogen, USA)
according to the manufacturer’s instructions. Cells were seeded at approximately 60%
confluence and transfected with 1 μg of either G - or C -allele TIMP -2 promoter –reporter
constructs.
For cytokine stimulation experiments, recombinant human IL -4 (R&D Systems, USA) was
added at concentrations of 1, 2.5, 5, 7.5, and 10 ng/mL for 12 h. In selected experiments,
Ishikawa cells were transfected with promoter constructs and treated with IL-4 (10 ng/mL) 6 h
post-transfection, followed by an additional 12 h incubation. Luciferase activity was measured
using a luminometer and normalized to total protein concentration determined by Bradford
assay. Results were expressed as relative light units (RLU). All transfection experiments were
independently performed at least three times.
2.7. SP1 overexpression and siRNA-mediated knockdown assays
For SP1 overexpression studies, Ishikawa cells were co -transfected with TIMP -2 promoter–
reporter constructs (1 μg/well) and increasing concentrations of SP1 expression plasmid (100,
250, 500 ng, and 1 μg). Empty pcDNA3.1 vector was used as a balancing cont rol. For RNA
interference experiments, Ishikawa cells were co -transfected with G - or C -allele promoter
constructs and SP1-specific siRNA (10, 20, or 30 nM; Santa Cruz Biotechnology, USA) using
Lipofectamine RNAiMAX (Invitrogen). Scrambled siRNA was used as a negative control.
Luciferase activity was analyzed 12 h following IL -4 treatment or siRNA transfection and
normalized to total protein concentration.
2.8. Protein extraction and immunoblot analysis
Cells and tissue samples were homogenized in lysis buffer containing 10 mM Tris -HCl (pH
8.0), 150 mM NaCl, 1% Triton X -100, and protease inhibitor cocktail (Sigma -Aldrich).
Homogenates were centrifuged at 12,000 × g for 15 min at 4 °C, and supernatants wer e
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collected for protein analysis. Protein concentrations were determined using Bradford and
Lowry assays. Equal amounts of protein (70 –100 μg) were resolved on 10% SDS -PAGE gels
and transferred onto nitrocellulose membranes. Membranes were incubated with primary
antibodies against TIMP -2 (Cell Signaling Technology, #5738), SP1 (Cell Signaling
Technology, #9389), phospho -SP1 (Thr453; Abcam, ab59 257), GAPDH (Santa Cruz
Biotechnology, sc-9104), and β-actin (Cell Signaling Technology, #4967). Appropriate HRP-
conjugated secondary antibodies (Millipore, USA) were subsequently applied, and
immunoreactive bands were visualized using Immobilon HRP substrate (Millipore). For time-
course experiments, Ishikawa cells were treated with recombinant IL-4 (10 ng/mL) for 10, 30,
60, 120, 180, 240, 360, and 720 min prior to protein extraction.
2.9. Enzyme-linked immunosorbent assay (ELISA)
TIMP-2 and IL -4 concentrations in serum and tissue lysates were quantified using
commercially available human TIMP-2 and IL-4 ELISA kits (R&D Systems, USA) according
to the manufacturer’s instructions.
2.10. Immunofluorescence analysis
For tissue immunofluorescence, biopsy samples were fixed in 4% paraformaldehyde,
dehydrated through graded ethanol series, and embedded in paraffin. Sections (5 μm) were
deparaffinized in xylene and rehydrated through decreasing alcohol concentrations. Antigen
retrieval was performed using 0.05% trypsin containing 0.1% CaCl₂, followed by blocking with
5% bovine serum albumin (BSA). Sections were incubated overnight at 4 °C with primary
antibodies diluted in TBS containing 1% BSA. Following washing with TBST, samples were
incubated with FITC -conjugated secondary antibodies (S anta Cruz Biotechnology) and
counterstained with propidium iodide. For cellular immunofluorescence assays, Ishikawa cells
were seeded in poly -L-lysine–coated 24-well plates and treated with recombinant IL -4 (10
ng/mL) for 12 h. Cells were fixed in 4% paraf ormaldehyde, permeabilized with 0.1% Triton
X-100, and blocked with 1% BSA in TBST. Cells were incubated overnight at 4 °C with
primary antibodies, followed by FITC- and Texas Red–conjugated secondary antibodies (Santa
Cruz Biotechnology). Nuclei were coun terstained using Hoechst dye. Images were acquired
using confocal microscopy at 10× and 40× magnifications.
2.11. Single-cell RNA sequencing (scRNA-seq) analysis
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Single-cell RNA sequencing datasets comprising 48 samples were obtained from the Gene
Expression Omnibus (GEO) under accession number GSE213216 [29]. For each sample, the
cells with expression of less than 200 genes were removed to get rid of low -quality cells and
empty droplets. Cells with more than 20% mitochondrial reads were filtered out to remove
lysed cells and retain only good -quality cells using the R package Seurat v4.4.0
(https://github.com/satijalab/seurat) [30]. Subsequently, doublets were excluded @ 0.8% per
1000 cells using the R package DoubletFinder v2.0.3 (https://github.com/chris -mcginnis-
ucsf/DoubletFinder) [31]. Dimensional reduction and cell clustering were performed for each
sample using the Louvain algorithm in Seurat [30]. All the samples were then merged and
SCTransform (https://github.com/satijalab/sctransform) normalized for regressing out effects
of read depth per cell, percentage of mitochondrial reads per cell, and technical variation among
samples [32]. The data from all samples were integrated using the R package Harmony v1.2.3
(https://github.com/immunogenomics/harmony) and visualized using uniform manifold
approximation and projection (UMAP) [33]. The marker genes for each cell cluster were
identified using Seurat FindAllMarkers() which essentially utilizes the Wilcoxon rank-sum test
and clusters were annotated to each cell type accordingly [30]. From the overall cell types
identified, epithelial cells, immune cells, and fibroblasts were separately reclustered, and gene
expression of interest was determined using DoHeatmap(), DotPlot(), and VlnPlot() in Seurat.
The cell -cell communication analyses were conducted using the R package CellChat
(https://github.com/sqjin/CellChat) with ‘CellChatDB.human’ as the ligand -receptor
interaction database [34]. For each cell type, the cell -cell interaction network at a single
signaling pathway level was studied as well as incoming and outgoing communication
networks were built for each cell type and compared across each disease condition.
2.12. Statistical analysis
Statistical analyses were performed using GraphPad InStat3 software (GraphPad Software Inc.,
USA). Data are presented as mean ± SEM unless otherwise stated. Differences between two
groups were analyzed using Student’s t -test. Comparisons among multiple gro ups were
performed using one-way ANOV A followed by Tukey’s post hoc test. Genotype distributions
of the TIMP-2 −418 G/C polymorphism between endometriosis patients and healthy controls
were analyzed using Fisher’s exact test. Odds ratios (ORs) and 95% confidence intervals (CIs)
were calculated using binary logistic regression analysis, with the GG genotype used as the
Reference
group. Associations between genotype and clinical parameters, including disease
stage, pain, and lesion site, were evaluated using multivariate logistic regression analysis. All
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experiments were independently performed at least three times. Statistical significance was
considered at p < 0.05.
2.13. Data availability
The single-cell RNA sequencing datasets analyzed in this study are publicly available in the
Gene Expression Omnibus (GEO) repository under accession number GSE213216.
3. Results
3.1. TIMP-2 is consistently downregulated in endometrial tissues and serum of women with
endometriosis vs without endometriosis
To confirm the reduced expression of TIMP -2 in an independent Eastern Indian cohort and
establish the foundation for subsequent mechanistic investigations, TIMP-2 protein expression
was examined in tissue and serum samples obtained from women with endometriosis and from
patients coming to the clinic either with infertility-related problemsor with minor
gynaecological problems. Western blot analysis demonstrated significantly lower TIMP -2
protein levels in ectopic endometriotic lesions compared with eutopic endometrial tissues from
healthy controls (Fig. 1A). Similarly, eutopic endometrial tissues from women with
endometriosis exhibited markedly reduced TIMP-2 expression relative to eutopic endometrium
from disease-free controls (Fig. 1B). Consistent with these tissue-specific observations, serum
samples from patients with endometriosis also showed significantly decreased TIMP-2 protein
levels compared with healthy controls (Fig. 1C), indicating that reduced TIMP-2 expression is
evident both locally and systemically.
To further substantiate these findings at the transcriptomic level, we re -analyzed the publicly
available single -cell RNA sequencing dataset (GSE213216) generated by Lawrenson and
colleague. Dot plot analysis revealed that TIMP2 expression was highest in eutopic
endometrium from women without endometriosis, whereas its expression was markedly
reduced in endometriosis -associated tissues, including endometriotic lesions and
endometrioma (Fig. 1D), corroborating our protein expression data.
Immunofluorescence staining further confirmed the differential expression pattern of TIMP -2
within endometriosis tissues. Consistent with the western blot findings, TIMP -2
immunoreactivity was lower in ectopic lesions than in the corresponding eutopic endometrium
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from women with endometriosis (Fig. 1E), further supporting the progressive loss of TIMP -2
expression during lesion formation.
Collectively, these findings demonstrate that TIMP -2 downregulation is a typical molecular
feature of endometriosis across tissue, serum, and independent transcriptomic datasets. Having
established this disease-associated reduction in TIMP-2 expression, we next sought to identify
the cellular distribution of TIMP-2 and investigate the upstream regulatory mechanisms
responsible for its suppression in endometriosis.
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Figure 1. Reduced TIMP-2 expression in endometriotic tissues and serum from endometriosis
patients
(A) Representative images of immunoblot analysis of TIMP -2 expression in eutopic
endometrium from healthy controls and ectopic lesions from endometriosis patients.
Corresponding densitometric quantification normalized to GAPDH is shown on the right.
B.
A.
C.
Figure 1. 2
D.
TIMP-2 Nucleus Merged
Patient
Ectopic
Patient
Eutopic
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(B) Immunoblot analysis comparing TIMP-2 protein expression between eutopic endometrium
from healthy controls and eutopic endometrium from endometriosis patients. Densitometric
quantification of TIMP-2 expression relative to GAPDH is presented alongside the blot.
(C) Representative image of immunoblot showing TIMP -2 protein levels in serum samples
obtained from healthy individuals and endometriosis patients. Quantitative analysis of serum
TIMP-2 expression is shown on the right.
(D) Dot plot showing TIMP2 expression in different sample identities from the scRNA -seq
dataset, including unaffected ovary, endometrioma, no endometriosis detected, endometriosis,
and eutopic endometrium. Dot size indicates the percentage of cells expressing TIMP2,
whereas color intensity represents the average expression level.
(E)Representative immunofluorescence staining of TIM/P-2 in control eutopic endometrium,
eutopic endometrium from endometriosis patients, and ectopic endometriotic lesions,
demonstrating reduced TIMP-2 expression in disease tissues.
Data are presented as mean ± SEM. Statistical significance was determined using Student’s t -
test. *p < 0.05; ****p < 0.0001.
3.2. Single -cell transcriptomic analysis identifies the cellular distribution of TIMP2 and
implicates IL-4 signaling in endometriosis
Having established that TIMP-2 expression is reduced in endometriosis tissues and serum (Fig.
1), we next sought to determine the cellular distribution of TIMP2 expression and identify
potential upstream inflammatory regulators associated with its downregulation in specific
disease-relevant cell types. Cell type-specific analysis revealed that TIMP2 was predominantly
expressed in fibroblasts, stromal cells, myofibroblasts and pericytes, whereas relatively low
expression was detected in immune cell populations (Fig. 2A).
We next investigated whether TIMP2 expression within these cell populations was altered
during disease progression. Comparative analysis demonstrated a marked reduction in TIMP2
expression in stromal cells, fibroblasts and other TIMP2-expressing populations in
endometriosis and endometrioma compared with eutopic endometrium (Fig. 2B), indicating
that the loss of TIMP2 occurs across multiple stromal compartments rather than being restricted
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to a single cell type indicating system-level dysregulation of TIMP2 expression associated with
endometrial pathogenesis.
Since epithelial cells constitute a major component of endometriotic lesions, TIMP2 expression
was further examined within epithelial subpopulations. Among these, the
KRT10^+^ACTA2^+^ epithelial subset exhibited the highest TIMP2 expression, whereas
comparatively lower expression was observed in the remaining epithelial populations(Fig.
2C)[35].
To identify inflammatory mediators potentially associated with reduced TIMP2 expression,
cytokine expression profiles were subsequently analyzed. Most of the inflammatory cytokines
were differentially upregulated in endometriosis followed by endometrioma compared to
eutopic endometrium demonstrating systemic hyperinflammation in pathologic conditions
(Fig. 2D). Among these, IL4 expression was markedly increased in endometriosis and
endometrioma compared with eutopic endometrium (Fig. 2E). Furthermore, the IL4 receptor
components, IL4R and IL2RG, also exhibited increased expression in endometriosis and
endometrioma relative to eutopic endometrium (Fig. 2F), indicating enrichment of the IL -4
signaling machinery within the endometriotic microenvironment. Collectively, these cell type
specific transcriptomic analyses demonstrate that TIMP2 is progressively downregulated
across multiple stromal and epithelial cell populations in endometriosis, while the concomitant
enrichment of IL4 together with its receptor components identifies the IL-4 signaling axis as a
potential upstream regulator of TIMP2, providing the rationale for subsequent functional
studies investigating the direct effect of IL-4 on TIMP-2 expression.
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Figure 2. Single-cell transcriptomic analysis reveals differential TIMP2 and IL-4 expression
across endometrial tissue states.
(A) Dot plot illustrating cell-type–specific TIMP2 expression across major endometrial cell
populations. (B) Distribution of TIMP2 expression across individual cell populations within
2 2 2
2 2 2
Figure 2.-Single-Cell Transcriptomic Analysis Reveals Differential TIMP-2 and IL-4 Expression
Across Endometrial Tissue States
A. B.
D.
E. F.
C.
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endometrioma, endometriosis, and eutopic endometrium. (C) Expression of TIMP2-
associated epithelial cell-state markers across endometrial tissue conditions. (D) Heatmap
showing differential expression of inflammatory cytokines, chemokines, and signaling-
associated genes across tissue states. (E) Dot plot showing IL4 expression across
endometrioma, endometriosis, and eutopic endometrium. (F) Dot plot showing expression of
IL4 signaling-associated receptors including IL4R and IL2RG across endometrial tissue
conditions. Dot size indicates the percentage of expressing cells and color intensity represents
scaled expression levels.
3.3. IL -4 suppresses TIMP -2 expression through activation of IL -4R/STAT6 signaling and
modulation of SP1
Following the identification of IL-4 as a potential upstream regulator of TIMP2 from the single-
cell transcriptomic analysis (Fig. 2), we next investigated whether IL -4 directly regulates
TIMP-2 expression in endometrial epithelial cells. Ishikawa cells were treated with increasing
concentrations of recombinant IL -4 (0 –10 ng/ml) for 12 h, and TIMP -2 levels in the
conditioned medium were analyzed by immunoblotting. IL -4 treatment resulted in a dose -
dependent reduction in TIMP -2 expression, with significant s uppression observed at 7.5 and
10 ng/ml (Fig. 3A), indicating that IL-4 negatively regulates TIMP-2 expression.
To further explore the molecular pathways that may mediate this effect, the expression of IL -
4-associated signaling molecules was examined using the single -cell transcriptomic dataset.
Components of the canonical IL-4 signaling pathway, including JAK1, JAK3, STAT6, together
with downstream signaling molecules associated with PI3K, MAPK and transcriptional
regulation, were detected across disease tissues, supporting the presence of an active IL -4
signaling network within the endometriotic microenvironment (Fig. 3B).
To experimentally validate activation of this pathway, immunofluorescence analysis was
performed following IL-4 stimulation. Compared with untreated cells, IL -4-treated Ishikawa
cells exhibited increased IL -4 receptor (IL -4R) expression accompanied by enha nced
phosphorylation of STAT6, as demonstrated by stronger IL -4R and phospho -STAT6
immunoreactivity and increased co -localization in merged images (Fig. 3C). These findings
indicate activation of the canonical IL -4R/STAT6 signaling pathway following IL -4
stimulation.
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Since SP1 is a known transcriptional regulator of TIMP2, we next examined whether IL -4
signaling influences SP1 expression. Immunofluorescence analysis demonstrated that IL -4
treatment markedly reduced both TIMP -2 and SP1 expression compared with untreated cells
(Fig. 3D). The concomitant reduction of SP1 and TIMP-2 following IL-4 stimulation suggests
that IL-4-mediated suppression of TIMP -2 is associated with modulation of SP1 -dependent
transcription.
Collectively, these findings demonstrate that IL -4 suppresses TIMP -2 expression while
activating the IL-4R/STAT6 signaling pathway. The simultaneous reduction of SP1 expression
further suggests that SP1 may act downstream of IL -4 signaling to regulate TIMP -2
transcription, providing the basis for subsequent experiments investigating the transcriptional
regulation of the TIMP-2 promoter.
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Figure 3. IL -4 suppresses TIMP -2 expression through SP1 modulation and activation of IL -
4R/STAT6 signaling.
ontro I tr at nt
n
A uc us r d I and
A
r d
ontro
I tr at nt
n
I uc us r d
r d I and
I
Figure-3 IL-4 mediated regulation of TIMP-2 expression through SP-1 transcription factor and IL-
4R/P-STA T6 signaling.
A.
B.
C.
D.
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(A) Dose-dependent effect of recombinant IL -4 (0, 1, 2.5, 5, 7.5, and 10 ng/ml) on TIMP -2
protein expression in Ishikawa cells, analyzed by immunoblotting. Corresponding
densitometric quantification normalized to total protein loading (Ponceau S) is shown. (B)
Single-cell transcriptomic analysis showing expression of genes associated with JAK/STAT,
PI3K/AKT/MTOR, KRAS, and MAPK signaling pathways across eutopic endometrium,
endometriosis, and endometrioma conditions. (C) Immunofluorescence analysis of IL -4R
(green) and phosphorylated STAT6 (red) expression in untreated and IL -4-treated Ishikawa
cells. Nuclei were counterstained with DAPI (blue). Merged images demonstrate activation of
canonical IL-4 signaling following cytokine treatment. (D) Immunofluorescence analysis of
TIMP-2 (green) and SP1 (red) expression in untreated and IL-4-treated Ishikawa cells. Nuclei
were stained with DAPI (blue). IL-4 treatment resulted in reduced TIMP-2 and SP1 expression
compared with untreated controls.
3.4. SP1 positively regulates TIMP-2 expression and mediates IL-4-dependent transcriptional
repression
Having demonstrated that IL -4 suppresses TIMP -2 expression and activates IL -4R/STAT6
signaling (Fig. 3), we next investigated whether the transcription factor SP1 mediates the
inhibitory effect of IL -4 on TIMP -2 expression. Ishikawa cells were treated with increasing
concentrations of recombinant IL -4 (0–10 ng/ml) for 12 h, followed by immunoblot analysis
of SP1 and TIMP -2. IL-4 treatment resulted in a dose -dependent reduction in both SP1 and
TIMP-2 protein expression, with significant suppression observed at 7.5 and 10 ng/ml (Fig.
4A), suggesting that IL-4-mediated downregulation of TIMP-2 is associated with reduced SP1
expression.
To determine the temporal relationship between SP1 activation and TIMP -2 expression, cells
were treated with 10 ng/ml IL-4 for the indicated time intervals. Immunoblot analysis revealed
a rapid increase in phosphorylated SP1 during the early phase of IL-4 stimulation, followed by
a progressive decline in total SP1 expression with prolonged treatment. Consistent with this
pattern, TIMP-2 expression gradually decreased over time, becoming markedly reduced at later
time points (Fig. 4B). These findings indicat e that IL -4 induces dynamic modulation of SP1
that precedes the suppression of TIMP-2 expression.
To directly examine the role of SP1 in regulating TIMP -2 expression, SP1 was transiently
silenced using siRNA. Knockdown of SP1 resulted in a dose -dependent reduction in TIMP-2
protein expression compared with control cells (Fig. 4C), indicating that SP1 i s required for
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19
maintaining basal TIMP-2 expression. Conversely, ectopic overexpression of SP1 significantly
increased TIMP-2 protein levels in a dose-dependent manner (Fig. 4D), demonstrating that SP1
positively regulates TIMP-2 expression.
To validate these observations in clinical specimens, dual immunofluorescence staining was
performed for TIMP -2 and SP1 in endometrial tissues. TIMP-2 expression was highest in
control eutopic endometrium, reduced in eutopic endometrium from women with
endometriosis, and further decreased in ectopic lesions. SP1 showed a similar reduction in
eutopic endometrium from patients compared with controls (Fig. 4E). The concordant
reduction of SP1 and TIMP -2 in patient tissues further supports the positive association
between SP1 expression and TIMP-2 levels observed in vitro.
Collectively, these findings establish SP1 as a positive transcriptional regulator of TIMP-2 and
demonstrate that IL -4 suppresses TIMP -2 expression through modulation of SP1. These
observations prompted us to investigate whether genetic variation within th e SP1 -binding
region of the TIMP-2 promoter influences IL-4-mediated transcriptional regulation.
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20
Figure 4. SP1 positively regulates TIMP -2 expression and mediates IL -4-dependent
transcriptional repression.
A
.
C
B.
D
.
TIMP-2 SP-1 Nucleus
Merged TIMP-2
and SP-1 Merged
Merged with
DIC
Control
Eutopic
Patient
Eutopic
Patient
Ectopic
Figure 4- SP1 Positively Regulates TIMP-2 Expression and Mediates IL -4-Dependent Transcriptional Repression
E..
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(A) Dose-dependent effect of recombinant IL -4 (0, 1, 2.5, 5, 7.5, and 10 ng/ml) on SP1 and
TIMP-2 protein expression in Ishikawa cells, analyzed by immunoblotting. Corresponding
densitometric analyses of SP1 and TIMP-2 normalized to GAPDH are shown. (B) Time-course
analysis of IL -4 (10 ng/ml) treatment showing dynamic changes in phosphorylated SP1 (P -
SP1), total SP1, and TIMP-2 protein levels. Bar graphs represent normalized protein expression
relative to GAPDH. (C) siRNA -mediated SP1 knockdown (10 and 20 nM ) results in reduced
TIMP-2 expression, demonstrating the requirement of SP1 for TIMP -2 transcriptional
regulation. (D) SP1 overexpression (0.5 and 1.0 µg plasmid DNA) enhances TIMP -2 protein
expression in a dose -dependent manner. (E) Representative immuno fluorescence images
showing TIMP-2 (green) and SP1 (red) expression in control eutopic endometrium, eutopic
endometrium from endometriosis patients, and ectopic endometriotic lesions. Nuclei were
counterstained with DAPI (blue). Merged and DIC overlay images demonstrate co-localization
and tissue morphology.
.
3.5. Functional characterization of the TIMP2 −418 G/C promoter polymorphism reveals
allele-specific transcriptional regulation by SP1 and IL-4
Having established that IL -4 suppresses TIMP -2 expression through modulation of SP1, we
next investigated whether the functional −418 G/C polymorphism within the TIMP2 promoter
influences SP1-dependent transcriptional regulation. GC+CC genotypes were significantly less
frequent in patients than controls, consistent with a protective association of the C -containing
genotypes in this cohort(Table 1.). Genotyping of clinical samples identified three genotypes
(GG, GC and CC) among the study population (Fig. 5A). Western blot analysis further
demonstrated that individuals carrying the CC genotype exhibited the highest TIMP-2 protein
expression, whereas th e GG genotype showed the lowest expression, with heterozygous GC
samples displaying intermediate levels (Fig. 5B).
To determine whether this polymorphism directly affects promoter activity, approximately 550
bp promoter fragments containing either the −418G or −418C allele were cloned upstream of
the luciferase reporter gene (Fig. 5C). Luciferase reporter assays performed in Ishikawa, RL95-
2, KC02-44D, HeLa, SKOV-3 and MCF-7 cells consistently demonstrated significantly higher
promoter activity for the −418C construct compared with the −418G construct (Fig. 5D –I),
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indicating that the C allele possesses greater transcriptional activity across multiple epithelial
cell types.
Since SP1 positively regulated TIMP -2 expression (Fig. 4), we next examined whether
promoter activity of the two alleles differed in response to SP1 depletion. Knockdown of SP1
produced only a modest, non-significant reduction in the activity of the −418G promoter (Fig.
5J). In contrast, SP1 silencing resulted in a significant dose -dependent decrease in −418C
promoter activity (Fig. 5L), indicating that transcription driven by the C allele is more
dependent on SP1.
Finally, we investigated whether the two promoter variants exhibit differential sensitivity to
IL-4-mediated repression. Treatment with recombinant IL -4 produced minimal changes in
−418G promoter activity (Fig. 5K), whereas the −418C promoter showed a prog ressive
reduction in transcriptional activity, with significant inhibition observed at higher IL -4
concentrations (Fig. 5M). These findings indicate that the C allele is more responsive to IL-4-
mediated transcriptional repression than the G allele.
Collectively, these results demonstrate that the −418 G/C polymorphism functionally regulates
TIMP2 promoter activity in an allele -specific manner. The C allele exhibits greater basal
transcriptional activity but is also more dependent on SP1 and more susc eptible to IL -4-
mediated repression, providing a molecular explanation for genotype -dependent regulation of
TIMP2 expression in endometriosis.
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Figure 5. Functional characterization of the TIMP-2 −418G/C promoter polymorphism reveals
allele-specific transcriptional regulation by SP1 and IL-4.
A.
E. F.
G
.
H
.
I.
95 2 02 44
3 7
Figure-5. Functional Characterization of the TIMP -2 418G/C Promoter Polymorphism Reveals Allele -Specific
Transcriptional Regulation by SP 1 and IL-4
D.
C.
B.
J. K.
L. M.
GC CC GG
250kb
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(A) Representative PCR–RFLP analysis of the TIMP-2 −418G/C polymorphism showing GG,
GC, and CC genotypes following BsoBI digestion. (B) Immunoblot analysis of TIMP -2
expression in ectopic endometrial tissues obtained from individuals carrying GG, GC, and CC
genotypes. (C) Schematic representation of TIMP -2 promoter–luciferase reporter constructs
containing either the −418G or −418C allele cloned into the pGL4.72 vector. (D –I) Basal
promoter activities of G- and C-allele TIMP-2 constructs following transient transfection into
Ishikawa, RL95 -2, KC02 -44D, HeLa, SKOV -3, and MCF -7 cells, respectively. Luciferase
activity was norm alized and expressed relative to the G allele construct. ( J,L) Effect of SP1
siRNA-mediated knockdown (10, 20, and 30 nM) on TIMP -2 promoter activity. The C allele
exhibited greater sensitivity to SP1 depletion compared with the G allele. (K,M) Effect of
recombinant IL-4 treatment (0, 1, 2.5, 5, and 10 ng/ml) on TIMP-2 promoter activity. The
−418C allele showed significantly greater repression in response to IL-4 compared with the G
allele. Data are presented as mean ± SEM from three independent experiments. Statistical
significance was determined using one-way ANOVA followed by Tukey’s post hoc test
Table 1.Genotypic distribution of TIMP-2 -418G/C SNP in endometriosis in the eastern
Indian population
Genotype Patients
n= 117
Control
n= 117
OR 95% Cl P value
GG 94 82 1
GC 22 32 0.599 0.32- 1.113 0.07
CC 1 3 0.29 0.29-2.85 0.26
GC+CC 23 35 0.57 0.313-1.04 . 7
I 8 G and risk of Endo triosis: Odds Ratio (OR) was calculated by a
binary logistic model by using Graph Pad In Stat. The p -value for the fisher's exact test
indicates the significance of the difference in genotype distributions between patients and
controls. Significantly different values are shown in bold. CI - Confidence Interval, Ref =
Reference
genotype or allele for calculation of OR
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3.6. Cell–cell communication analysis identifies TIMP2-associated signaling networks within
the endometrial microenvironment
To understand intercellular communication within the endometrial microenvironment, we
analyzed ligand –receptor interactions across eutopic endometrium, endometriosis, and
endometrioma. The results revealed that endometriosis exhibited the highest number an d
strength of cell–cell interactions, followed by endometrioma and eutopic endometrium (Figure
7A–C). Immune cells such as cycling T cells, CD4⁺ and CD8⁺ T cells, monocytes, and dendritic
cells displayed enhanced communication with mesenchymal cells including fibroblasts,
stromal, and vascular smooth muscle cells, suggesting an active immune–stromal crosstalk in
disease conditions. In contrast, epithelial cell –driven interactions predominated in
endometrioma, reflecting its cystic and fibrotic nature.
We next examined the TIMP-2 signaling pathway, consisting of TIMP-2 as a ligand and LRP1,
IGF1R, ITGA3, and MMP14 as receptors. This pathway showed stronger incoming and
outgoing signaling activity in endometriosis compared to endometrioma and eutopic
endometrium (Figure 7D –F). The enrichment was primarily observed in fibroblasts,
myofibroblasts, inflammatory fibroblasts, stromal cells, and vascular smooth muscle cells,
indicating that mesenchymal populations are key mediators of TIMP -2–related intercellular
communication.
Together, these findings suggest that enhanced TIMP-2 signaling in mesenchymal cell clusters
contributes to aberrant extracellular matrix remodeling and chronic inflammation in
endometriosis. This context-specific activation of the TIMP-2 axis likely supports the invasive
and persistent phenotype of endometrial lesions through coordinated stromal –immune
interactions.
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Figure 6. Cell–cell communication analysis identifies TIMP-2-associated signaling networks
within the endometrial microenvironment.
Figure 6- Cell Cell Communication Analysis Identifies TIMP-2 Signaling Networks in Endometrial
Microenvironment
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(A–C) Circle plots depicting cell –cell communication networks among distinct cellular
populations in (A) endometrioma, (B) endometriosis, and (C) eutopic endometrium. Each node
represents a specific cell type, while connecting lines indicate predicted inte rcellular
interactions. The thickness of the connecting lines reflects the relative interaction strength
between cellular populations.
(D–F) Heatmaps showing pathway-specific outgoing and incoming signaling activities across
different cell populations in (D) endometrioma, (E) endometriosis, and (F) eutopic
endometrium. Rows represent signaling pathways and columns represent individual cell
populations. Color intensity corresponds to the relative signaling activity, whereas bar plots
above each heatmap indicate the overall contribution of each cell type to o utgoing and
incoming communication networks. Comparative analysis revealed altered intercellular
communication patterns and extracellular matrix–associated signaling within the endometriotic
microenvironment.
4. Discussion
TIMP-2 exerts both MMP -dependent and MMP -independent functions [36]; [37]. In its
canonical MMP -dependent role, TIMP -2 regulates extracellular matrix proteolysis through
inhibition of MMP activity and modulation of the MMP14 (MT1 -MMP)/MMP-2 axis [38];
[14]. In contrast, its MMP -independent, ligand-like functions involve interactions with cell -
surface proteins and receptors, including LRP1, IGF1R, and integrin α3 ( ITGA3), through
which TIMP-2 can modulate downstream signaling pathways governing cellular proliferation,
apoptosis, migration, and angiogenic responses [37]; [39]; [40]. In our s tudy cohort we
observed significantly reduced TIMP -2 protein expression in ectopic lesions, eutopic
endometrium, and serum samples from women with endometriosis.
Single-cell transcriptomic analysis showed that TIMP2 was predominantly expressed in
mesenchymal populations, particularly fibroblasts, myofibroblasts, stromal cells, and vascular
smooth muscle cells. Fibroblasts exhibited both a high proportion of TIMP2-expressing cells
and elevated average expression in ectopic lesions, suggesting that they are a major source of
TIMP2 in the endometriotic microenvironment and may contribute to stromal ECM
remodeling. Interestingly, myofibroblasts showed the highest aver age TIMP2 expression in
eutopic endometrium; given their established role in wound healing and fibrosis, and the
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recognized presence of fibrosis in the eutopic endometrium of women with endometriosis, this
finding suggests that TIMP -2 may contribute to myofibroblast -mediated ECM remodeling
[41]; [37]and fibrotic responses under eutopic conditions The reduced TIMP2 expression in
ectopic lesions may therefore reflect disruption of this homeostatic mechanism, leading to
abnormal matrix remodeling during disease progression.
Although reduced TIMP -2 expression was consistently observed in endometriosis, the
upstream inflammatory signals responsible for its dysregulation remained unclear.
Endometriosis is initially characterized by a pro -inflammatory milieu; however, as lesions
become established, the immune microenvironment gradually shifts towards a Th2-dominant,
anti-inflammatory phenotype, which facilitates immune tolerance, fibrosis [42], extracellular
matrix remodeling, and lesion persistence [43]; [44]. Among the Th2-associated cytokines, IL-
4 is considered a key mediator of this chronic anti-inflammatory environment [43]. Consistent
with this concept, our single -cell transcriptomic analysis also demonstrated increased Th2 -
associated immune signatures in ectopic lesions. These observations prompted us to investigate
whether IL-4 contributes to TIMP-2 dysregulation during disease progression.
To further explore this possibility, we examined the cytokine profile across different tissue
states using single -cell transcriptomic data. IL4 emerged as one of the prominent cytokines
enriched in ectopic lesions, while its receptor components, IL4R and IL2RG, also showed
markedly elevated expression, indicating activation of IL-4 signaling within the endometriotic
microenvironment. Functional validation using recombinant IL -4 demonstrated a dose -
dependent reduction in TIMP2 secretion from endometrial epithelial cells . In parallel,
transcriptomic analysis revealed increased expression of downstream IL-4 signaling molecules
in ectopic tissues, suggesting activation of the canonical IL -4/STAT-6 pathway [45]; [46].
Consistent with these findings, IL -4 treatment markedly increased IL -4R and phosphorylated
STAT6 levels while simultaneously reducing TIMP-2 expression at 10 ng/ml , supporting a role
for IL-4 signaling in suppressing TIMP-2.
Although these findings established IL-4 as a negative regulator of TIMP2, the transcriptional
mechanism underlying this regulation remained unknown. Previous characterization of the
human TIMP2 promoter demonstrated the presence of five consensus SP1 -binding sites [47],
including one encompassing the −418 bp region , suggesting that SP1 is a major regulator of
TIMP2 transcription [21]. Furthermore, previous studies have reported altered SP1 expression
in endometriosis, making it a biologically relevant candidate. Based on these observations, we
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hypothesized that IL-4 suppresses TIMP2 through an SP1-dependent mechanism. We observed
that IL-4 treatment reduced SP1 expression, whereas SP1 knockdown significantly decreased
TIMP2 levels and SP1 overexpression restored TIMP2 expression , demonstrating that SP1
functions as a positive regulator of TIMP2 transcription under inflammatory conditions.
Immunofluorescence analysis further validated our in vitro observations at the tissue level. As
expected, control eutopic endometrium exhibited the strongest TIMP2 and SP1 expression,
whereas both proteins were reduced in tissues obtained from women with endometriosis.
TIMP2 expression was lowest in ectopic lesions, consistent with our biochemical and
transcriptomic findings . Interestingly, although SP1 staining appeared relatively higher in
ectopic lesions than in matched eutopic endometrium from patients, this increase was not
accompanied by restoration of TIMP2 expression. This observation suggests that SP1
abundance alone may not be sufficient to maintain TIMP2 transcription within the complex
inflammatory microenvironment of e ctopic lesions, where multiple regulatory pathways are
likely to influence TIMP2 expression.
Furthermore, SP1 knockdown significantly reduced the promoter activity of the C allele
construct, whereas the G allele construct showed no significant change. Similarly, IL -4
treatment selectively suppressed the promoter activity of the C allele without si gnificantly
affecting the G allele. Together, these findings suggest that the −418 G/C polymorphism
differentially influences TIMP2 promoter activity and that the C allele is preferentially
regulated by SP1 and IL-4-mediated inflammatory signaling.
Functional promoter polymorphisms are increasingly recognized as important determinants of
disease susceptibility because they can influence transcription factor binding and gene
expression. The TIMP2 −418 G/C (rs8179090) promoter polymorphism has been investigated
in women with endometriosis from North Chinese and Korean populations [20], [18], as well
as in abdominal aortic aneurysm [19], moyamoya disease [48], age -related macular
degeneration [49], and cervical cancer [50], although the reported associations have been
inconsistent across different populations. However, the functional significance of rs8179090 in
regulating TIMP2 expression during chronic inflammatory conditions has remained largely
unexplored.
We next investigated whether the TIMP2 −418 G/C (rs8179090) promoter polymorphism
influences TIMP2 transcription. In the present study, genotype analysis revealed that the
combined GC+CC genotypes were significantly less frequent among women with
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endometriosis than healthy controls (OR = 0.57, P = 0.047), suggesting that the C allele may
confer protection against disease susceptibility, whereas the GG genotype was more prevalent
among affected individuals. Although the GC genotype alone showed a similar trend toward
reduced risk, it did not reach statistical significance, and the CC genotype was too infrequent
to allow meaningful independent analysis. Patients carrying C-containing genotypes/allele are
associated with higher TIMP2 expression and higher promoter activity, while CC is rare in the
cohort suggesting that this promoter variant contributes to inter -individual differences in
TIMP2 expression. To validate the functional significance of this polymorphism, we generated
promoter-reporter constructs containing either the G or C allele and examined their
transcriptional activity in epithelial cell lines. Consistent with the patient data, the C allele
displayed markedly higher basal promoter activity than the G allele, indicating that the −418
G/C polymorphism functionally regulates TIMP2 transcripti on. Previous studies have
proposed that rs8179090 is located within a consensus SP1 -binding motif of the TIMP2
promoter and may therefore influence SP1 -dependent transcription . Although these studies
were based primarily on sequence prediction, our findings provide functional evidence that
promoter activity differs substantially between the two alleles. Furthermore, modulation of SP1
expression by siRNA -mediated knockdown or SP1 overexpression, together with IL -4
treatment, supports the concept that SP1 is a positive regulator of TIMP2 transcription and that
inflammatory signaling influences this promoter in an allele-dependent manner.
To explore the biological significance of reduced TIMP2 expression, we analyzed TIMP2 -
mediated cell –cell communication within the endometrial microenvironment. CellChat
analysis revealed enhanced intercellular communication in endometriosis and endometriom a
compared with eutopic endometrium, with TIMP2 acting as the signaling ligand and LRP1,
IGF1R, ITGA3, and MMP14 serving as the major receptor components [37], predominantly
among mesenchymal cell populations. These findings suggest that dysregulation of TIMP2 -
mediated signaling may contribute not only to extracellular matrix remodeling but also to
altered stromal–immune communication that supports lesion persistence in endometriosis.
To our knowledge, this is the first study to investigate the functional significance of the TIMP2
−418 G/C (rs8179090) promoter polymorphism in endometriosis in an Eastern Indian cohort.
Our findings demonstrate that IL -4 suppresses TIMP2 expression throug h SP1 -dependent
transcriptional regulation and reveal that the C allele exhibits higher basal promoter activity
and greater responsiveness to SP1 depletion and IL -4-mediated repression than the G allele.
Together with the altered TIMP2-mediated cell–cell communication observed in endometriotic
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tissues, these findings support a model in which inflammatory signaling and promoter variation
coordinately regulate TIMP2 expression during disease progression. Further studies
investigating allele-specific SP1 occupancy and in vivo regulation of the TIMP2 promoter will
help clarify the molecular basis of this regulatory pathway and its therapeutic potential in
endometriosis.
Author contributions
Susmita Saha: Conceptualization (supporting); Formal Analysis; Investigation; Methodology;
Validation; Visualization; Writing — original draft, review, and editing. Supratim Ghosh:
Single-cell data curation, Formal analysis and interpretation; Writing—review editing
(supporting). Tapasi Roy: Writing—review and editing. Debasis Nayak: Resources. Pramathes
Das Mahapatra: Resources; Supervision (supporting). Arindam Maitra: Supervision
(supporting). Snehasikta Swarnakar: Conceptualization (lead); Supervision (lead); Writing —
review, and editing (supporting).
Acknow d nts
Susmita Saha is thankful to the University Grants Commission (UGC), India, for providing
financial support. We gratefully acknowledge Dr. Geetanjali Sachdeva for providing the
Ishikawa cell line and Dr. Deepak Modi for providing the RL95-2 and KC02-44D hTERT cell
lines. We also acknowledge Director, CSIR-Indian Institute of Chemical Biology (CSIR-IICB),
Kolkata, India, for her kind support.
Fundin sourc s
This study was supported by institutional grant no. P -07 from CSIR -Indian Institute of
Chemical Biology, Kolkata, India.
onf ict of int r st
The authors declare no conflicts of interest.
References-
[1] z, zy , z, : gy, fi , g ,
G ( v ), J , 22 (2021)
[2] , J , , :
y gy , J , 26 (2025)
[3] Y W g, N , , g g , v , 15
(2020) 71 95
[4] J , , , , b , 2026
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[5] g , g , g , , , , v
: g g , J v v Gy , 19 (2012) 415 421
[6] z , J , z, v , y: y gy,
g , v , Gy b , 312 (2025) 1037 1048
[7] z , , J y, , ff ff y
: g
, , 7 (2017) 44616
[8] G , G zz , W , , N , fib :
y v , U , 30 (2024) 706 750
[9] J G G , zz , , , , g , :
g b , , 30 (2023) 1453 1461
[10] g z, z , fi , , J v , ,
21 & 4 , , 85 (2024) 110746
[11] z , zy , j , fl g
g v , b Gy v, 67 (2012) 374 381
[12] , g , , g g , , , ,
fl y y v fl y , J ,
20 (2015) 668 674
[13] Y Y , Y , W , Y N , Y , N W g, fl y y
fl ff g , Gy ,
34 (2018) 507 512
[14] , , 2 ( b 2) g 2
( 2) v y v ft 2 v by
1 ( b y 1) , J, 374 (2003) 739 745
[15] , N g , b ( ): y
v y, y , 1803 (2010) 55 71
[16] J , tt j , y, , , g
2 v y by X 2 G 2 g g ,
, 11 (2016) 0163540
[17] W , Z g, Q J g, Z , W , v v
v , J , 48 (2020) 300060520971993
[18] Y J , N , J g, J Y , , , W g, b
2 2 g y v g , J
, 69 (2013) 73 84
[19] J j zy y , z, G b , zy , G z , , G
y 418 G/ b 2 b
y , J g, 61 (2015) 1114 1119
[20] g, X W Z , N W g, , Z , Y , y
2 2 g N , , 90
(2008) 2023 2029
[21] , , Y U , Y , y , Y , N , ,
z , b 2 g y b v
y , J, 18 (2001) 748 752
[22] Y Z , Y , X , W , G g, X g, , , b
b g y
2 b 2 g , g , 25 (2004) 399
404
[23] Y , v , Y , G G , z
g g b 2 ( 2), G , 139 (1994) 185 191
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
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33
[24] Z Z g, , W , Y , N Y 1
v b 2, J , 275
(2000) 18602 18610
[25] , g , g , , , b 4
590 / g y , 4 v , v , J , 41
(2016) 176 181
[26] g, , J , Z g, J , , Y W , W J Z , X Y Z , J , J , Q
, 27 gg 10 17 v / g / 1 g
g , , 8 (2017) 2666
[27] W J Z , Y g, J , J , g, Z , Q , fl y y
, , 76 (2019) 2111 2132
[28] J g , , Z b , , g b
Y g , ( ), 55 (2019)
[29] , , N W g , X , bb , J , z, N , J g, Y
, , z , b , y, , G g , g, Y W g,
, Q , N gg , G , g , G , ,
ff, , g y , N G , 55 (2023) 255
267
[30] Y , , N , W , 3 , Z g, , J , J W ,
by, Z g , ff , , , , J J , v v , ,
g, Y g, J g , J , , G tt , b , j , g
y g , , 184 (2021) 3573 3587 3529
[31] G , , Z J G , b : b g N
q g U g fi N N g b , y , 8 (2019) 329 337 324
[32] , j , N z v b z g N q g
g z g v b g , G , 20 (2019) 296
[33] y, N , J , , Z g, W , Y g , , ,
y , , v g g y, N
, 16 (2019) 1289 1296
[34] J , G J z, Z g, g, , , y g, , Q N ,
y g , N , 12 (2021) 1088
[35] , , , g : N g
v , J , 22 (2021)
[36] , , G , g y ,
, 44 46 (2015) 247 254
[37] y, Y , z ff, G g, W G v , U v g b g
2 , g , 43 (2022) 405
418
[38] W g, J Y , , , , Y W , ,
2, b y 1 , b 2
, , 78 (2002) 787 795
[39] , G , b g, , b , , b , g ,
tt y, Y , N g , W b , J y, y
y 2 2 g b
, J , 279 (2004) 54944 54951
[40] W , , G z, W gfi , z, , Y W , W G v ,
2 b g g : , , 114 (2003) 171 180
[41] z , , , G g y, gy b
2 g , , 2022 (2022) 3632764
[42] g, Y , Z g, Y W g, J g, , W , , 4 2 g
b fib , , 24 (2024) 100852
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted October 16, 2026. ; https://doi.org/10.64898/2026.10.15.759364doi: bioRxiv preprint
34
[43] zy , J N j , zy , W , Y z ,
, , , W z, fl 1 2
, , 2013 (2013) 849492
[44] yg , J , J , j , g y
: g g , , 12 (2024)
[45] , , W , , , , N , N Y ,
, , 6 4 g g, N , 380 (1996) 627 630
[46] , , tt , g , , v , v ,
4 v by 6 v v /
y y 6, , 95 (2000) 494 502
[47] , , tt , , tt , , Y ,
z b 2 g , J
, 271 (1996) 25498 25505
[48] Y , Y J J , , , , , N , G + g y
418 2 1575G / 1306 g y 2 g g
v y y , N , 1 4 (2014) 180
[49] , , , , g , , 2 ( 1306 > ) 2
( 418 G> ) v g g , G , 34 (2013) 217
222
[50] v v , y, tt , tt , N [ ]
2 ( 735 > ) b [ ] 2 ( 418G > ) G y
v b y, J , 28 (2013) 13 18
.CC-BY-NC-ND 4.0 International licenseperpetuity. It is made available under a
preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in
The copyright holder for thisthis version posted October 16, 2026. ; https://doi.org/10.64898/2026.10.15.759364doi: bioRxiv preprint