Abstract
During gestation, the myometrium remains relaxed but undergoes a phenotypic transformation near term that initiates labor. This coincides with increased expression of contraction-associated proteins (CAPs) and decreased expression of relaxation-associated proteins (RAPs), thereby promoting the development of powerful synchronous contractions that deliver the fetus. We do not yet fully understand the biochemical signaling pathways and physiological changes that occur as human myometrium transitions from a non-laboring to a laboring phenotype. An ex vivo model for the onset of human labor can expand our knowledge. This study aimed to assess whether non-laboring pregnant human myometrium in culture undergoes a phenotypic transformation that is consistent with transitioning toward a labor-like phenotype. Term, non-laboring pregnant human myometrium biopsies were collected. A small portion was immediately snap-frozen (0 h time point), while the remaining tissue was dissected into small pieces, incubated for 48 h in serum-free medium, and then snap-frozen. Changes in the mRNA abundance of key myometrial genes were assessed by qRT-PCR, and protein levels were quantified by Western blotting. Data were analyzed using GraphPad Prism. Myometrial expression of key CAPs, including GJA1, ESR1, PTGS2, NFκB1, NFκB3, IL1β, IL6, and AKR1C1, increased significantly, while expression of the RAPs, PLCL1, HSPB1, and HSPB6, was decreased significantly after 48 h of ex vivo culture. Term, non-laboring pregnant human myometrial explants undergo coordinated molecular remodeling during 48 h of ex vivo culture, with many changes paralleling those reported at term labor in vivo. These findings support prolonged explant culture as a model of the molecular transition toward a labor-like state, while also demonstrating that cultured non-laboring explants may no longer faithfully represent the original non-laboring phenotype.
Keywords: Myometrium, Ex vivo, Models, Contraction-associated proteins, Relaxation-associated proteins
Introduction
The myometrium (uterine smooth muscle) remains relaxed throughout fetal gestation, but, approaching term, undergoes a phenotypic transformation that leads to the onset of labor [1, 2]. This coincides with increased expression of contraction-associated proteins (CAPs) and decreased expression of relaxation-associated proteins (RAPs), which promote the development of powerful synchronous contractions that deliver the fetus. We do not yet fully understand the biochemical signaling pathways and physiological changes that occur as the human myometrium transitions from a non-laboring to a laboring phenotype. This is primarily due to ethical considerations surrounding human pregnancy, which, outside clinical trials, limit human studies to in vitro investigations using cell lines (two-dimensional (2D) and three-dimensional (3D)) and ex vivo biopsied tissues.
Human cell cultures are a valuable in vitro tool for studying physiological and pathological processes. In 1984, Casey et al. [3] were the first to establish methods for isolating, culturing, and verifying human myometrial smooth muscle cells (SMCs) in traditional 2D monolayer culture. They reported that the cultured cells displayed typical features of SMCs, including a spindle-shaped or elongated morphology characteristic of smooth muscle in monolayer culture [3]. Moreover, SMCs expressed smooth muscle-specific markers, retained functional properties consistent with those of myometrial smooth muscle (e.g., contractile apparatus components), and showed no major dedifferentiation or loss of smooth muscle identity for over 1 year [3]. Nevertheless, previous studies have expressed concerns about the lifespan of cultured primary cells and have shown that cell populations can divide only a finite number of times before reaching replicative senescence [4]. To overcome the limited proliferative capacity of primary cells, researchers have created immortalized cell lines by introducing telomerase expression vectors. In 1992, Perez-Reyes et al. [5] immortalized human SMC lines in vitro by infecting the cells with an amphotropic recombinant retroviral vector expressing the E6 and E7 open reading frames of human papillomavirus type 16 (HPV16). These immortalized SMCs exhibited significantly increased growth rates, no signs of senescence after long-term passage and continuous culture for over 1 year (> 180 population doublings), and retained some smooth muscle characteristics [5]. Nevertheless, these immortalized SMCs also exhibited changes, including reduced size and altered expression of α-smooth muscle actin (α-SMA) filaments, typical of viral oncogene-based immortalization [5]. Building on this approach, Monga et al. [6] subsequently established PHM1-41, a clonal immortalized cell line derived from term-pregnant human myometrium using HPV16 E6/E7. PHM1-41 cells retained morphological characteristics of proliferating SMCs and expressed smooth muscle-specific α-SMA, estrogen receptors, and oxytocin receptors (OXTR) [6]. Importantly, the cells also remained functionally responsive to oxytocin, which increased intracellular free calcium and phosphatidylinositol turnover [6]. Thus, PHM1-41 provided an immortalized model derived specifically from pregnant human myometrium while retaining several key characteristics of myometrial SMCs. To address the limitations of E6/E7 methods, such as increased genomic instability, Condon et al. [7] immortalized human non-pregnant SMCs in 2002 by retrovirally introducing the human telomerase reverse transcriptase (hTERT) gene. They found that hTERT-infected myometrial cells maintained continuous culture for over 10 months without signs of crisis or transformation, retained a spindle-shaped, elongated morphology typical of SMCs, and grew robustly under standard culture conditions. Moreover, these hTERT-immortalized SMCs exhibited a number of markers of SMCs, including α-SMA, smoothelin, h-caldesmon, and calponin expression, as well as genes associated with reproduction and parturition, including OXTR, ESR1, and PGR [7]. Soloff et al. [8] subsequently extended the hTERT approach to myometrial cells obtained from term-pregnant women, generating three telomerase-immortalized human myometrial cell lines. These cells retained a normal karyotype, expressed smooth muscle-specific α-SMA, and possessed high-affinity oxytocin-binding sites [8]. Comparison of the immortalized cells with their parental primary cultures revealed consistent changes in only approximately 1% of more than 10,000 expressed genes, while several major signaling responses, including oxytocin-stimulated ERK1/2 phosphorylation, myosin light-chain phosphorylation, and IL-1-mediated signaling, were preserved [8]. Collectively, these studies demonstrate that both oncogene- and telomerase-based immortalization can generate experimentally tractable human myometrial cell models that retain important features of the smooth muscle phenotype; however, these models of isolated cells maintained in 2D culture do not preserve the multicellular composition, extracellular matrix, and three-dimensional tissue architecture of intact human myometrium.
More recently, 3D cell culture models have advanced significantly, enabling more accurate replication of the in vivo cellular microenvironment of tissues. These approaches encompass various techniques, including; protein-based gels, such as Matrigel and collagen, which closely mimic the composition and supportive properties of the native extracellular matrix, enabling cells to self-organize, remodel the matrix, and exhibit physiological behaviors, such as contractility [9–11]; advanced bioprinting, which enable precise control over cell positioning, formation of complex shapes like rings, expression of key markers (α-SMA, caldesmon, oxytocin receptor, connexin-43, steroid receptors), and functional contractility [12–14]; polymer scaffolds, which provide structural support, tunable mechanical properties, and tissue-like architecture to promote cell adhesion, proliferation, and 3D organization [15]; and use of microfluidic technology to model the endometrial-myometrial junction and uterine wall interactions [16]. Nevertheless, these systems do come with drawbacks, such as high costs, extended preparation times, and often the requirement for specialized equipment.
Ex vivo incubation of tissue, as small explants or strips, has gained popularity as an experimental approach for investigating myometrial biology, as it better preserves the in vivo phenotype than many other models. Georgiou et al. [17] performed a whole-genome transcription analysis to compare gene expression profiles of freshly biopsied non-laboring myometrium (frozen at the time of cesarean section), ex vivo myometrial explants (where the non-laboring myometrium had been incubated for 30 h as explants), primary SMC lines (passage 4), and immortalized myometrial SMCs (by transfection with hTERT). The study revealed that myometrial explants most closely resembled the original fresh, non-laboring myometrial biopsies (variation of 1,444 genes compared to fresh myometrium), followed by primary myometrial SMCs (variation in 3,840 genes compared to fresh myometrium), followed by the hTERT myometrial cells (variation in 4,603 genes compared to fresh myometrium) [17]. These results indicated that the myometrial tissue explant model was superior to primary and immortalized myometrial cell cultures for studying human parturition.
While myometrial explants show promise, they do differ from biopsied tissue. The principal component analysis done by Georgiou et al. [17] highlighted that the gene expression profile of myometrial explants deviated significantly from that of freshly biopsied myometrial tissue, but the significance of this variation remained unknown. Consistent with this, our group has recently shown that non-laboring myometrial explants are not immune to culture-induced changes. We found a significant decrease in OXTR expression and significant increases in ESR1, PTGS2, PR-A, and AKR1C1 (encoding 20α-HSD, an enzyme involved in functional progesterone withdrawal) over the 48 h culture period [18–20]. Importantly, we noted that each of these changes in myometrial gene expression was consistent with those observed at the onset of labor in vivo [21–37]. Recognizing this, we hypothesized that non-laboring myometrium transitions to a ‘labor-like’ state when cultured ex vivo as explants. Accordingly, this study aimed to assess whether term, non-laboring pregnant human myometrium in culture undergoes a phenotypic transformation consistent with a transition toward a labor-like phenotype.
Targets were selected to sample complementary components of myometrial activation, including excitation and contraction (GJA1, the principal gap-junction protein that facilitates coordinated myometrial contractions; OXTR, a G-protein-coupled receptor that binds oxytocin to trigger the intracellular calcium influx necessary for initiating myometrial contractions); endocrine and prostaglandin regulation (ESR1, PTGS1, PTGS2, HPGD, AKR1C1, SRD5A1, and MED17); inflammatory signaling (NFKB1, RELA, TNFα, IL1β, IL6, and CXCL8/IL8); calcium and cyclic-nucleotide regulation (PLCL1, PLCL2, TRPV4, and PDE4, PDE5, PDE7, and PDE8 family members); and stress/cytoskeletal regulation (HSPB1, HSPB5, and HSPB6). The panel therefore included established labor-associated markers and candidates whose regulation in human labor remains incompletely defined. In recognition of its potential to model myometrial changes at the onset of labor, we have termed this our ‘ex vivo labor model’.
Materials and Methods
Myometrial Tissue Acquisition
The study was approved by the Hunter and New England Area Human Research Ethics Committee (2019/ETH12330). Human myometrial samples (n = 30) were obtained from the upper lip of an incision in the lower uterine segment during cesarean section (CS) of singleton term pregnancies (38.3–39.5 weeks of gestation). The patients’ body mass index (BMI) ranged from 20.3 to 33.6, and none were in labor. The indications for elective CS were previous CS, placenta previa, fetal distress, or breech presentation. Women were excluded if they had received steroids prenatally. Myometrial samples were kept in ice-cold serum-free Dulbecco’s Modified Eagle Medium (DMEM) with high glucose, 2 mM L-Glutamine, 1 mM Sodium Pyruvate, 40 µg/mL Gentamicin, and 10 mM HEPES and then transferred to the laboratory for explant culture.
Myometrial Explant Culture
Approximately 100 mg of freshly biopsied myometrial tissue from each sample was immediately snap-frozen in liquid nitrogen to serve as the 0 h baseline. The remaining tissue was dissected into approximately 2 × 2 × 2 mm explants, washed in serum-free DMEM, then incubated at 37 °C for 48 h in a humidified 95% air/5% CO2 incubator, with the medium refreshed after 24 h. At 48 h of incubation, the explants were snap-frozen using liquid nitrogen and stored at −80 °C for later analyses.
RNA Extraction, Reverse Transcription, and Real-Time Quantitative PCR
RNA was extracted using TRizol Reagent (Thermo Fisher Scientific, Australia) according to the manufacturer’s protocol. Tissue homogenization was performed in TRizol Reagent using a Precellys24 homogenizer (5,000 rpm for 3 × 30 s, with 20 s intervals) (Bertin Instruments, France). Following extraction, RNA samples were further purified using the TURBO DNA-free kit (Thermo Fisher Scientific, Australia). RNA concentration (absorbance at 260 and 280 nm) and purity were assessed using an ND-1000 spectrophotometer (Thermo Fisher Scientific, Australia). RNA integrity was verified by agarose gel electrophoresis before and after DNase treatment, with a subset of samples additionally analyzed by TapeStation, consistently yielding RIN values of ≥ 7. Each RNA sample (0.5 µg of total RNA) was spiked with 0.5 × 107 copies of Alien RNA (Integrated Sciences Pty, Australia), which served as a reference, and was reverse-transcribed using the SuperScript III First-Strand Synthesis System with random hexamer primers (Thermo Fisher Scientific, Australia). The Alien RNA transcript is an in vitro-transcribed RNA molecule that is non-homologous to any known nucleic acids and, as such, was used as a reference gene for these studies [18–20, 34, 38, 39]. Quantitative RT-PCR was performed using QuantStudio 6 Flex Real-Time PCR (Applied Biosystems, USA). No-reverse transcription negative controls were prepared for each sample. The final volume of each PCR reaction was 20 µL, containing 10 µL of 2 × SYBR Green PCR Master Mix (Thermo Fisher Scientific, Australia), cDNA template (corresponding to 10 ng of reverse-transcribed RNA), and cDNA-specific forward and reverse primers. For the reference gene (Alien), the final volume was 20 µL containing 10 µL of 2 × SYBR Green PCR Master Mix, cDNA template (corresponding to 10 ng of reverse-transcribed RNA), and 1.0 µL of 2.5 µM of Alien Primer Mix (with proprietary sequence). No-template control samples were included on each PCR plate to detect contamination and primer dimers. All PCR reactions, reference gene, negative controls, and no-template controls were performed in duplicate. As recommended by the manufacturer (Applied Biosystems, USA), the thermal cycling conditions consisted of an initial hold at 50 °C for 2 min, followed by 95 °C for 10 min. Amplification was then performed for 40 cycles of 95 °C for 15 s and 60 °C for 1 min, with fluorescence data collected during the 60 °C step. Following amplification, melt-curve analysis was performed at 95 °C for 15 s, 60 °C for 1 min, and 95 °C for 15 s using continuous acquisition. All temperature transitions were performed at a ramp rate of 1.6 °C/s. The same thermal cycling conditions were used for all target and reference assays. Melt curves were generated for each PCR reaction to assess the homogeneity of the amplified products. PCR amplification efficiencies were determined using LinRegPCR software (version 2021.1), which estimates amplification efficiency from the slope of the linear regression fitted to the exponential phase of each amplification curve. Reactions with Ct ≥ 35 or without a single specific melt-curve peak were classified as non-quantifiable and excluded from the study. cDNA primers (Sigma-Aldrich, USA) were designed using Primer-BLAST, optimized, and validated by confirming that a single amplicon of the appropriate size was generated. The cDNA primers used in this study are listed in Table 1.
Table 1.
Real-time PCR primer sequences
| Gene Symbol (Synonyms) | Primer sequence | Amplicon size | GeneBank number |
|---|---|---|---|
| AKR1C1 (20α-HSD) | F: AGTTCACCGCTCGCATAA | 60 | NM_001353.6 |
| R: GGCTGTAGATAGGCTTAGTGT | |||
| ESR1 (ERα) | F: TGAAAGGTGGGATACGAAAAGAC | 66 | NM_000125.3 |
| R: CATCTCTCTGGCGCTTGTGTT | |||
| GJA1 (Cx43) | F: GGAGTTCAATCACTTGGCGTG | 54 | NM_000165.5 |
| R: GGGCACCACTCTTTTGCTT | |||
| HPGD (15-PGDH) | F: GCAACAACTGAGAGACACTTTTAGAAA | 59 | NM_000860.6 |
| R: AAATGTCCAGTCTTCCAAAGTGGT | |||
| HSPB1 (HSP27) | F: ACGCGGAAATACACGCTGC | 203 | NM_001540.5 |
| R: TACTTGGCGGCAGTCTCATC | |||
| HSPB5 (CRYAB) | F: AAACATGAAGAGCGCCAGGATGA | 176 | NM_001885.3 |
| R: ATGGGAATGGTGCGCTCAG | |||
| HSPB6 (HSP20) | F: TTTCGGTGCTGCTAGACGTG | 115 | NM_144617.3 |
| R: AATCCGTGCTCATCCGGG | |||
| IL1β | F: GCCAATCTTCATTGCTCAAGTGTC | 74 | NM_000576.3 |
| R: AAGCCATCATTTCACTGGCGA | |||
| IL6 | F: TGAACCTTCCAAAGATGGCTGA | 73 | NM_000600.5 |
| R: TTCACCAGGCAAGTCTCCTCATTG | |||
| IL8 | F: GCTCTGTGTGAAGGTGCAGTT | 146 | NM_000584.4 |
| R: ATTTCTGTGTTGGCGCAGTG | |||
| MED17 | F: GTGGTGACTATGCTATTTCAGTTCG | 138 | NM_004268.5 |
| R: GCCCACGAAGATGACTCCAT | |||
| NFκB1 (p50) | F: GCGGAGGCATGTTTGGTAGT | 72 | NM_003998.4 |
| R: GTGGGAAGCTATACCCTGGAC | |||
| NFκB3 (RELA; p65) | F: ATCTGCCGAGTGAACCGAAA | 95 | NM_021975.4 |
| R: TACACCTCAATGTCCTCTTTCTGC | |||
| OXTR | F: CTGGACGCCTTTCTTCTTCGT | 73 | NM_000916.3 |
| R: GAAGGCCGAGGCTTCCTT | |||
| PDE4A | F: GGATCACTACCACGCTGACG | 114 | NM_001111307.2 |
| R: AGGTCCGTGAACACTGCATCTA | |||
| PDE4B | F: AGCATCTCACGCTTTGGAGT | 170 | NM_002600.4 |
| R: GTCTTTAGGAGGTCTCTTTCCTGG | |||
| PDE4C | F: GCCTCCAACAAGTTCAAGCG | 95 | NM_000923.6 |
| R: CGGGAGATGTACTCGGACAC | |||
| PDE4D | F: AGGAGACCGAGAGAGGGAAC | 94 | NM_001104631.2 |
| R: GTCTATGAAGCCCACCTGTGA | |||
| PDE5A | F: CTCTTACATACAGCGAAGTGAAC | 89 | NM_001083.4 |
| R: TCATCAGGCACTGGTCAAAATG | |||
| PDE7A |
F: CTGCCATTAGAAAGCAGGCAAC R: CAGATACTCATTCTGGCGACTG |
87 | NM_002603.4 |
| PDE7B | F: CAGGCACTTTATGCTTCAGATCGC | 95 | NM_018945.4 |
| R: AGACCCTTTCACTCCACTGCT | |||
| PDE8A | F: AGACCACAGAAATCCTCGACAG | 115 | NM_002605.3 |
| R: TTCTCTATCCACCCTGCGTA | |||
| PDE8B | F: ACCACTCTTCCAATGCCTACC | 104 | NM_003719.5 |
| R: CTGATCGAGGCTTCCCTTTAC | |||
| PLCL1 | F: AGTGTCAGAAAGCAGGGATGGA | 110 | NM_006226.4 |
| R: GTTCCAAGCAAAGCTCTCAGTTG | |||
| PLCL2 | F: CCTCTCCTCTGTGGCCAATC | 191 | NM_001144382.2 |
| R: CCTTGAGGGACTGAATCATCATGT | |||
| PTGS1 (COX1) | F: CCAGGAGCTCGTAGGAGAGAAG | 66 | NM_000962.4 |
| R: GCATCAATGTCTCCATACAATTCC | |||
| PTGS2 (COX2) | F: ATGTTCCACCCGCAGTACAGA | 101 | NM_000963.4 |
| R: CAGCATAAAGCGTTTGCGGTA | |||
| SRD5A1 | F: GTGAGTTGGGCGGGACTTTA | 104 | NM_001047.4 |
| R: CTGCATGAACAGAGGCTGGT | |||
| TNFα | F: CTGCACTTTGGAGTGATCGG | 144 | NM_000594.4 |
| R: AGCTTGAGGGTTTGCTACAAC | |||
| TRPV4 | F: TTCTTCTTCACCAACATCAA | 113 | NM_021625.5 |
| R: ATCACCAGGACAGAGTAG |
AKR1C1 Aldo–keto reductase family 1 member C1, ESR1 Estrogen receptor 1, GJA1 Gap junction alpha 1, HPGD 15-Hydroxyprostaglandin dehydrogenase, HSPB1 Heat shock protein family B (small) member 1, HSPB5 Heat shock protein family B (small) member 5 (CRYAB), HSPB6 Heat shock protein family B (small) member 6, IL1β Interleukin 1 beta, IL6 Interleukin 6, IL8 Interleukin 8, MED17 Mediator of RNA polymerase II transcription subunit 17, NFκB1 Nuclear factor kappa-B 1, NFκB3 Nuclear factor NF-kappa-B 3 subunit (RELA), OXTR Oxytocin receptor, PDE4A Phosphodiesterase 4 A, PDE4B Phosphodiesterase 4B, PDE4C Phosphodiesterase 4 C, PDE4D Phosphodiesterase 4D, PDE5A Phosphodiesterase 5 A, PDE7A Phosphodiesterase 7 A, PDE7B Phosphodiesterase 7B, PDE8A Phosphodiesterase 8 A, PDE8B Phosphodiesterase 8B, PLCL1 Phospholipase C like 1, PLCL2 Phospholipase C like 2, PTGS1 Prostaglandin-endoperoxide synthase 1, PTGS2 Prostaglandin-endoperoxide synthase 2, SRD5A1 Steroid 5-alpha-reductase, TNFα Tumor necrosis factor alpha, TRPV4 Transient receptor potential cation channel subfamily V member 4
Protein Extraction, One-dimensional (1D) SDS-PAGE, and Immunoblotting
Protein was extracted into sodium dodecyl sulfate (SDS) extraction buffer (2% SDS, 50 mM Tris pH 6.8, 5 mM EDTA) supplemented with PhosSTOP phosphatase inhibitor (Roche, Switzerland) and Complete Mini Protease Inhibitor (Roche, Switzerland). Tissue was homogenized in SDS extraction buffer using a Precellys24 homogenizer (6,500 rpm for 3 × 60 s, with 20 s intervals), after which homogenates were incubated on a rotary mixer for 1 h at 4 °C. Homogenates were then centrifuged at 15,500 g for 15 min at 4 °C (Beckman Coulter, Australia), and supernatants were collected. Protein concentration was determined using a BCA Protein Assay Kit (Thermo Fisher Scientific, Australia).
Myometrial protein extracts (up to 50 µg per lane, due to low abundance of certain gene products/proteins in pregnant human myometrium) were loaded onto 4–12% NuPAGE gels (Thermo Fisher Scientific, Australia) and separated using a Novex Mini-Cell system (Thermo Fisher Scientific, Australia) at constant voltage (200 V for 50 min; Invitrogen). S9 Fraction from Human Liver Extract (Sigma Aldrich, USA; cat# S2442; 0.5 µg/lane), SDS protein extracts from term human placenta (20 µg/lane) and human heart (20 µg/lane) were included as positive and negative controls. Following 1D SDS-PAGE, proteins were transferred to Hybond-C nitrocellulose membranes (Amersham Biosciences, UK) using the XCell II Blot Module (Invitrogen, USA). Protein transfer was verified by Ponceau S staining and imaging using an Amersham Imager 600 (GE Healthcare, USA).
The subsequent processing of the membranes was performed on an orbital rocking platform. Membranes were blocked in 5% skim milk powder in tris-buffered saline (TBS; 500 mM NaCl, 20 mM Tris) for 1 h at room temperature. The blocking solution was decanted, and primary antibodies were applied in 5 mL of 1% skim milk powder in TBS-Tween-20 (TBS-T; 500 mM NaCl, 20 mM Tris, 0.01% Tween-20) overnight at 4 °C. The antibodies are listed in Table 2. Blots were subjected to four 5-min washes with 100 mL of TBS-T followed by horseradish peroxidase (HRP)-conjugated anti-rabbit IgG (Cell Signaling Technology, USA; cat# 7074) or anti-mouse IgG (Cell Signaling Technology, USA; cat# 7076) secondary antibody as appropriate, applied at 1∶2500 dilution in 5 mL of 1% skim milk powder in TBS-T for 1 h at room temperature. Blots were then washed three times in 100 mL of TBS-T for 5 min, and immunoreactivity was detected using Immobilon Forte (high-sensitivity) Western HRP substrate (Millipore, Australia) or Immobilon Classico Western HRP substrate (Millipore, Australia). Bands were visualized using the Amersham Imager 600 (GE Healthcare, USA). Blots were first probed with the antibody of interest, then stripped and re-probed with an antibody against β-actin to serve as a loading control. Membranes were stripped by 2 × 5 min incubations in 100 mL of 0.2 M NaOH. Stripped blots were then washed three times for 3 min in 100 mL TBS-T before being re-probed according to the outlined regimen.
Table 2.
Primary antibodies used for western blotting
| Antibody | Clonality | Host species | Dilution | Company (catalog #) |
|---|---|---|---|---|
| anti-β-ACTB (β-Actin) | Monoclonal | Mouse | 1∶4,000 | Abcam (cat# ab8226) |
| anti-AKR1C1 (20α-HSD) | Polyclonal | Rabbit | 1∶1,000 | GeneTex (cat#GTX105620) |
| anti-GJA1 (Cx43) | Polyclonal | Rabbit | 1∶1,000 | Cell Signaling Technology (cat#3512S) |
| anti-HSPB1 (HSP27) | Monoclonal | Mouse | 1:2,500 | Abcam (cat#ab2790) |
| anti-HSPB5 (αB-Crystallin) | Monoclonal | Mouse | 1∶1,000 | Stressgen (cat#SPA-222) |
| anti-HSPB6 (HSP20) | Monoclonal | Mouse | 1∶1,000 | Abcam (cat#ab125125) |
| anti-OXTR | Monoclonal | Rabbit | 1∶1,000 | Abcam (cat#ab181077) |
| anti-PLCL1 | Monoclonal | Rabbit | 1:1,000 | Abcam (cat#ab157200) |
| anti-PTGS2 | Monoclonal | Rabbit | 1∶1,000 | ABclonal (cat#A3560) |
AKR1C1 Aldo–keto reductase family 1 member C1 (20α-HSD), GJA1 Gap junction alpha 1 (Connexin 43), HSPB1 Heat shock protein family B (small) Member 1 (HSP27), HSPB5 Heat shock protein family B (small) Member 5 (αB-Crystallin), HSPB6 Heat shock protein family B (small) Member 6 (HSP20), OXTR Oxytocin receptor, PLCL1 Phospholipase C Like 1, PTGS2 Prostaglandin-endoperoxide synthase 2
The eight proteins selected for immunoblotting were chosen to assess transcript-protein concordance across distinct functional modules and to reflect the availability of paired tissue and antibodies that produced interpretable bands at the expected molecular weight. The panel comprised GJA1, OXTR, and PTGS2 as established labor-associated targets; AKR1C1 and PLCL1 as regulators of steroid or calcium signaling; and HSPB1 (HSP27), HSPB5 (αB-crystallin), and HSPB6 (HSP20) as stress/cytoskeletal proteins.
Data and Statistical Analysis
All mRNA abundance data were expressed relative to the Alien reference RNA. The relative mRNA abundance was calculated as 2−ΔCt using the delta Ct (∆Ct) method [40], where ∆Ct was defined as the mean Ct of the target transcript minus the mean Ct of the Alien RNA reference. To estimate the magnitude of expression change during ex vivo culture, ∆∆Ct was calculated for each participant as ∆Ct48 h − ∆Ct0 h, and the corresponding fold-change was calculated as 2−∆∆Ct. Fold-changes are presented as geometric means with 95% confidence intervals calculated on the log2 fold-change scale and back-transformed, with each participant’s 0 h sample serving as the calibrator for the corresponding 48 h sample.
Densitometric analysis of immunoreactive protein bands was performed using Amersham Imager 600 analysis software (GE Healthcare, USA). The protein abundance data (optical density (OD; arbitrary units)) were expressed relative to β-actin. Statistical analyses were conducted using GraphPad Prism (USA) and confirmed with STATA (USA). All mRNA and protein relative abundance values were checked with the Shapiro–Wilk distribution test, and data that were not normally distributed were logarithmically transformed to approach normal distribution. Graphical data are presented as mean ± SEM. A paired t-test was used to compare the two groups. P-values < 0.05 were considered statistically significant.
Results
Expression of Genes Encoding Key Contraction-Associated Proteins and Regulators of Myometrial Function Following Ex Vivo Culture
To evaluate the ex vivo labor model, we examined the expression of genes that encode key CAPs, including GJA1, OXTR, and PTGS2 (and PTGS1), as well as genes encoding established regulators of myometrial function, including ESR1, HPGD, AKR1C1, SRD5A1, and MED17. Following the 48 h culture, there was a significant increase in the myometrial expression of GJA1 (p < 0.0001), ESR1 (p < 0.0001), PTGS1 (p = 0.0001), PTGS2 (p < 0.0001), HPGD (p = 0.0004), AKR1C1 (p < 0.0001), SRD5A1 (p < 0.0001), and MED17 (p < 0.0001), while the expression of OXTR (p = 0.0011) was significantly decreased (Fig. 1). The magnitude of these changes varied considerably, ranging from a 1.88-fold increase in PTGS1 to a 171-fold increase in PTGS2, while OXTR decreased to 0.35-fold of the paired 0 h baseline (Table 3).
Fig. 1.

Change in the relative mRNA abundance of CAPs and their regulators when term, non-laboring pregnant human myometrium was cultured for 48 h ex vivo. Relative mRNA abundance of (A) GJA1, (B) OXTR, (C) ESR1, (D) PTGS1, (E) PTGS2, (F) HPGD, (G) AKR1C1, (H) SRD5A1, and (I) MED17 was measured in myometrium frozen either immediately after biopsy (0 h) or following 48 h incubation ex vivo (n = 30). mRNA abundance is expressed relative to Alien reference. Data were checked for distribution using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Table 3.
Summary of the results
| Gene | 48 h vs 0 h Fold Change (95% CI) | Ex Vivo Labor Model | In Vivo Labor (Non-Laboring Versus Laboring Myometrium) Changes Reported in the Literature | References |
|---|---|---|---|---|
| ESR1 | 5.01 (3.86–6.49) | Increased | Increased |
Welsh et al. [37] Mesiano et al. [32] |
| GJA1 | 9.95 (6.77–14.64) | Increased | Increased | Chow and Lye [23] |
| OXTR | 0.35 (0.20–0.64) | Decreased | Decreased |
Bossmar et al. [21] Fuchs et al. [24] Rivera et al. [29] Chan et al. [36] Sharp et al. [30] |
| PTGS1 | 1.88 (1.35–2.62) | Increased | No change |
Moore et al. [27] Slater et al. [54] |
| PTGS2 | 171.45 (98.69–297.85) | Increased | Increased |
Chan et al. [36] Slater et al. [54] |
| HPGD | 4.24 (2.18–8.26) | Increased | Unconfirmed | |
| PR-A |
NA Data previously published in Ilicic et al. [19] |
Increased | Increased |
Mesiano et al. [32] Merlino et al. [26] Pieber et al. [28] |
| PR-B |
NA Data previously published in Ilicic et al. [19] |
No change | No change |
Mesiano et al. [32] Merlino et al. [26] Pieber et al. [28] |
| AKR1C1 | 58.18 (43.27–78.24) | Increased | Increased |
Paul et al. [34] Nadeem et al. [33] Nadeem et al. [35] Williams et al. [31] Lee et al. [25] |
| SRD5A1 | 17.30 (11.02–27.17) | Increased | Decreased | Lee et al. [25] |
| MED17 | 9.15 (6.21–13.50) | Increased | Unconfirmed | |
| NFκB1 | 12.50 (8.50–18.38) | Increased | Unconfirmed | |
| NFκB3 | 5.10 (3.66–7.13) | Increased | Unconfirmed | |
| TNFα |
10.49 (6.72–16.40) |
Increased | Increased | Chan et al. [36] Bollapragada et al. [74] |
| IL1β | 31.00 (16.75–57.36) | Increased | Increased |
Sharp et al. [30] Huang et al. [75] Lopez et al. [76] |
| IL6 | 122.70 (58.98–255.28) | Increased | Increased |
Chan et al. [36] Sharp et al. [30] |
| IL8 | 6,138.73 (2,589.70–14,551.50) | Increased | Increased | Sharp et al. [30] |
| PLCL1 | 0.41 (0.28–0.61) | Decreased | Decreased |
Chan et al. [36] Bollapragada et al. [74] Sharp et al. [30] |
| PLCL2 | 5.57 (3.74–8.29) | Increased | Unconfirmed | |
| TRPV4 | 5.21 (3.33–8.15) | Increased | Unconfirmed | |
| HSPB1 | 0.49 (0.34–0.70) | Decreased | Decreased (protein) | MacIntyre et al. [41] |
| HSPB5 | 3.74 (2.55–5.48) | Increased | Unconfirmed | |
| HSPB6 | 0.53 (0.36–0.77) | Decreased | Decreased |
Chan et al. [36] Sharp et al. [30] |
| PDE4A | 5.42 (3.73–7.86) | Increased | Unconfirmed | |
| PDE4B | 27.99 (16.28–48.13) | Increased | Unconfirmed | |
| PDE4C | 20.39 (11.92–34.90) | Increased | Unconfirmed | |
| PDE4D | 4.57 (2.88–7.24) | Increased | Unconfirmed | |
| PDE5A | 2.85 (1.80–4.51) | Increased | Unconfirmed | |
| PDE7A | 9.49 (6.62–13.61) | Increased | Unconfirmed | |
| PDE7B | 2.04 (1.47–2.82) | Increased | Unconfirmed | |
| PDE8A | 13.23 (9.36–18.68) | Increased | Unconfirmed | |
| PDE8B | 1.09 (0.75–1.60) | No change | Decreased |
Chan et al. [36] Sharp et al. [30] |
Fold-change values represent the geometric mean of the paired 48 h/0 h expression ratio, calculated using the 2−ΔΔCt method. Values > 1 indicate increased expression and values < 1 indicate decreased expression relative to the paired 0 h baseline. Values in parentheses represent 95% confidence intervals. Sample size was n = 30. PR-A and PR-B results were reported previously and are included for context. ‘Unconfirmed’ indicates that no sufficiently established in vivo labor comparison could be identified; it does not indicate absence of expression or absence of change
AKR1C1 Aldo–keto reductase family 1 member C1, ESR1 Estrogen receptor 1, GJA1 Gap junction alpha 1, HPGD 15-Hydroxyprostaglandin dehydrogenase, HSPB1 Heat shock protein family B (small) member 1, HSPB5 Heat shock protein family B (small) member 5 (CRYAB), HSPB6 Heat shock protein family B (small) member 6, IL1β Interleukin 1 beta, IL6 Interleukin 6, IL8 Interleukin 8, MED17 Mediator of RNA polymerase II transcription subunit 17, NFκB1 Nuclear factor kappa-B 1, NFκB3 Nuclear factor NF-kappa-B 3 subunit (RELA), OXTR Oxytocin receptor, PDE4A Phosphodiesterase 4 A, PDE4B Phosphodiesterase 4B, PDE4C Phosphodiesterase 4 C, PDE4D Phosphodiesterase 4D, PDE5A Phosphodiesterase 5 A, PDE7A Phosphodiesterase 7 A, PDE7B Phosphodiesterase 7B, PDE8A Phosphodiesterase 8 A, PDE8B Phosphodiesterase 8B, PLCL1 Phospholipase C like 1, PLCL2 Phospholipase C like 2, PTGS1 Prostaglandin-endoperoxide synthase 1, PTGS2 Prostaglandin-endoperoxide synthase 2, SRD5A1 Steroid 5-alpha-reductase, TNFα Tumor necrosis factor alpha, TRPV4 Transient receptor potential cation channel subfamily V member 4
Expression of Inflammatory Mediators Following Ex Vivo Culture
As labor onset is associated with sterile inflammatory signaling, we assessed the expression of the inflammatory mediators within the ex vivo labor model. Following 48 h of culture, there was a significant increase in myometrial expression of NFκB1 (p < 0.0001), NFκB3 (p < 0.0001), TNFα (p < 0.0001), IL1β (p < 0.0001), IL6 (p = 0.0005), IL8 (p < 0.0001), PLCL2 (p < 0.0001), and TRPV4 (p < 0.0001), while the expression of PLCL1 (p = 0.0001) was significantly decreased (Fig. 2). Culture induced particularly marked changes in several inflammatory transcripts, including 31.0-fold, 122.7-fold, and 6.14 × 103-fold increases in IL1β, IL6, and IL8, respectively (Table 3).
Fig. 2.

Change in the relative mRNA abundance of inflammatory mediators when term, non-laboring pregnant human myometrium was cultured for 48 h ex vivo. Relative mRNA abundance of (A) NFκB1, (B) RELA, (C) TNFα, (D) IL1β, (E) IL6, (F) IL8, (G) PLCL1, (H) PLCL2, and (I) TRPV4 was measured in myometrium frozen either immediately after biopsy (0 h) or following 48 h incubation ex vivo (n = 30). mRNA abundance is expressed relative to Alien reference. Data were checked for distribution using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Expression of Small Heat Shock Proteins Following Ex Vivo Culture
Significant changes in small heat shock protein (HSP) levels have been documented in association with labor onset in vivo in humans [41] and rats [42, 43]. As such, the expression of HSP genes was assessed within the ex vivo labor model, including heat shock protein family B (small) member 1 (HSPB1), heat shock protein family B member 5 (HSPB5), and heat shock protein family B (small) member 6 (HSPB6), which encode HSP27, αB-crystallin, and HSP20, respectively. Following 48 h culture, the expression of HSPB1 (p = 0.0001) and HSPB6 (p = 0.0023) significantly decreased, while the expression of HSPB5 (p < 0.0001) significantly increased (Fig. 3). HSPB5 increased 3.74-fold, whereas HSPB1 and HSPB6 decreased to 0.49- and 0.53-fold of baseline, respectively (Table 3).
Fig. 3.

Change in the relative mRNA abundance of HSPs when term, non-laboring pregnant human myometrium was cultured for 48 h ex vivo. Relative mRNA abundance of (A) HSPB1, (B) HSPB5, and (C) HSPB6 was measured in myometrium frozen either immediately after biopsy (0 h) or following 48 h incubation ex vivo (n = 30). mRNA abundance is expressed relative to Alien reference. Data were checked for distribution using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Expression of Phosphodiesterase Isoforms During Ex Vivo Culture
PDE is a family of enzymes that break down cyclic nucleotides like cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP). These molecules act as second messengers in cells helping regulate relaxation and contraction. Accordingly, we examined the expression of various PDE isoforms in the ex vivo labor model. Following 48 h culture, there was a significant increase in myometrial expression of PDE4A (p < 0.0001), PDE4B (p < 0.0001), PDE4C (p < 0.0001), PDE4D (p < 0.0001), PDE5A (p < 0.0001), PDE7A (p < 0.0001), PDE7B (p = 0.0015), and PDE8A (p < 0.0001), while the expression of PDE8B (p = 0.9029) remained unchanged (Fig. 4). Among the PDE isoforms, fold increases ranged from 2.04-fold for PDE7B to 28.0-fold for PDE4B, whereas PDE8B remained essentially unchanged at 1.09-fold of baseline (Table 3).
Fig. 4.

Change in the relative mRNA abundance of phosphodiesterase isoforms when term, pregnant non-laboring human myometrium was cultured for 48 h ex vivo. Relative mRNA abundance of (A) PDE4A, (B) PDE4B, (C) PDE4C, (D) PDE4D, (E) PDE5A, (F) PDE7A, (G) PDE7B, (H) PDE8A, and (I) PDE8B was measured in myometrium frozen either immediately after biopsy (0 h) or following 48 h incubation ex vivo (n = 30). mRNA abundance is expressed relative to Alien reference. Data were checked for distribution using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Assessment of Protein Level Changes within the Ex Vivo Model
Changes in gene expression often correlate with changes in protein level; however, the relationship is not necessarily one-to-one. As such, many genes that revealed significant changes in mRNA abundance within the ex vivo model were also assessed at the protein level by Western blotting.
Following 48 h culture, significant increases in protein levels were observed for the CAPS, GJA1 (p = 0.0020) and PTGS2 (p = 0.0010), whereas OXTR protein levels trended toward decreasing but did not reach statistical significance (p = 0.1292) (Fig. 5).
Fig. 5.

Protein level changes of GJA1, OXTR, and PTGS2 when term pregnant non-laboring human myometrium was cultured for 48 h ex vivo. Protein was extracted from term non-laboring myometrium samples immediately after biopsy (0 h) (n = 11) or following 48 h incubation ex vivo (n = 11), separated by SDS-PAGE (20–50 µg/lane), and then transferred to a nitrocellulose membrane. S9 Fraction from human liver extract (0.5 µg/lane) and human heart extract (20 µg/lane) were included as negative and positive controls. Total protein transfer was visualized by Ponceau S staining and then imaged (panels A, D, G). Membranes were then probed for GJA1 (Cell Signaling Technology, cat#3512S, 1:1,000), OXTR (Abcam, cat#ab181077, 1:1,000), PTGS2 (ABclonal, cat#A3560, 1:1,000), and anti-rabbit-HRP secondary antibody (1:2,000). Representative images show immunoreactive bands detected using Immobilon Forte chemiluminescence reagent (panels B, E, H). Blots were then stripped and re-probed using mouse anti-β-actin (1:4,000) and anti-mouse-HRP (1:2,000). The molecular weight marker was Novex™ Sharp Pre-stained Protein Standard. The optical density of the immunoreactive band corresponding to the expected molecular weight of GJA1 (39 kDa), OXTR (43 kDa), PTGS2 (72 kDa), and β-actin (42 kDa) was measured, then GJA1, OXTR, and PTGS2 protein abundance was expressed relative to β-actin (panels C, F, I). Data were checked using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Of the assessed enzymes, PLCL1 protein levels significantly decreased (p = 0.0429) while AKR1C1 protein levels significantly increased (p = 0.0005) following 48 h culture (Fig. 6). As previously noted, however, [20, 34], the utilized GeneTex anti-AKR1C1 antibody (as well as other available AKR1C1 antibodies) lacks specificity for AKR1C1 due to extensive amino acid sequence homology with AKR1C2 (97%) and AKR1C3 (88%). Nonetheless, the immunoreactive band analyzed was the appropriate molecular weight for AKR1C1 (37 kDa).
Fig. 6.

Protein level changes of PLCL1 and AKR1C1 when term pregnant, non-laboring human myometrium was cultured for 48 h ex vivo. Protein was extracted from term non-laboring myometrium samples immediately after biopsy (0 h) (n = 10–12) or following 48 h incubation ex vivo (n = 10–12), separated by SDS-PAGE (20–50 µg/lane), and then transferred to a nitrocellulose membrane. S9 Fraction from human liver extract (0.5 µg/lane) and human placenta extract (20 µg/lane) were included as positive and negative controls. Total protein transfer was visualized by Ponceau S staining and then imaged (panels A and D). Membranes were then probed for PLCL1 (Abcam, cat#ab157200, 1:1,000), AKR1C1 (GeneTex, cat#GTX105620, 1:1,000), and anti-rabbit-HRP secondary antibody (1:2,000). Representative images show immunoreactive bands detected using Immobilon Forte chemiluminescence reagent (panels B and E). Blots were then stripped and re-probed using mouse anti-β-actin (1:4,000) and anti-mouse-HRP (1:2,000). The molecular weight marker was Novex™ Sharp Pre-stained Protein Standard. The optical density of the dominant immunoreactive band corresponding to the expected molecular weight of PLCL1 (123 kDa) and AKR1C1 (37 kDa) was measured, and protein abundance was expressed relative to β-actin (panels C and F). Data were checked using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Analysis of the HSPs revealed that following 48 h culture, HSPB1 protein levels remained unchanged (p = 0.3453), whereas HSPB5 protein levels significantly increased (p = 0.0004), while HSPB6 protein levels significantly decreased (p = 0.0322) (Fig. 7).
Fig. 7.

Protein level changes of HSPs when term pregnant, non-laboring human myometrium was cultured for 48 h ex vivo. Protein was extracted from term non-laboring myometrium samples immediately after biopsy (0 h) (n = 11) or following 48 h incubation ex vivo (n = 11), separated by SDS-PAGE (20–50 µg/lane), and then transferred to a nitrocellulose membrane. S9 Fraction from human liver extract (0.5 µg/lane) and human heart extract (20 µg/lane) were included as positive and negative controls. Total protein transfer was visualized by Ponceau S staining and then imaged (panels A, D, G). Membranes were then probed for HSPB1 (Abcam, cat#ab2790, 1:2,500), HSPB5 (Stressgen, cat#SPA-222, 1:1,000), HSPB6 (Abcam, cat#ab125125, 1:1,000), and anti-mouse-HRP secondary antibody (1:2,000). Representative images show immunoreactive bands detected using Immobilon Forte chemiluminescence reagent (panels B, E, H). Blots were then stripped and re-probed using mouse anti-β-actin (1:4,000) and anti-mouse-HRP (1:2,000). The molecular weight marker was Novex™ Sharp Pre-stained Protein Standard. The optical density of the dominant immunoreactive band corresponding to the expected molecular weights of HSPB1 (27 kDa), HSPB5 (20 kDa), and HSPB6 (17 kDa) was measured, and protein abundance was expressed relative to β-actin (panels C, F, I). Data were checked using the Shapiro–Wilk normality test and analyzed by paired t-test. Data are mean ± SEM. A significant p-value is indicated
Discussion
We have previously shown that key labor-associated genes, including ESR1, PTGS2, OXTR, and PGR, undergo significant changes in expression that are consistent with labor onset in vivo when pregnant human myometrial explants are incubated for 48 h ex vivo [18, 19]. Using this model, we further documented a significant increase in AKR1C1 mRNA abundance over the 48 h culture period, also consistent with labor onset in vivo [33–35]. In this study, we examined the expression of numerous additional key genes that undergo significant expression changes during labor onset in vivo, including CAPs, upstream regulators, inflammatory mediators, enzymes, and small HSPs, to validate that culturing pregnant human myometrium as explants for 48 h constitutes an ‘ex vivo labor model’.
Our study showed that CAP-encoding gene expression was significantly upregulated, whereas RAP-encoding gene expression was significantly downregulated following 48 h of ex vivo incubation. The observed changes are consistent with gene expression changes associated with term labor onset in vivo. These findings suggest that when the term not-in-labor myometrium is cultured ex vivo, it transitions to a labor-like state, supporting the application of this model as an ex vivo model of the onset of human labor.
Tissue incubation studies are routinely performed for 48 h or more [37, 44, 45]. Among these, myometrial strips obtained from non-laboring pregnant women can develop spontaneous contractile activity within 1–2 h when suspended in organ baths under tension [46–49]. However, spontaneous contractions are not specific to pregnancy or labor, as spontaneous activity has also been extensively documented in ex vivo myometrial strips obtained from non-pregnant women [50–53]. Accordingly, the development of spontaneous contractions following tissue isolation likely reflects, at least in part, the intrinsic contractile properties of human myometrium and should not in isolation be interpreted as evidence of a labor-associated phenotypic transition. In the present study, evidence for acquisition of a labor-like phenotype is instead based on the coordinated molecular remodeling observed across multiple pathways implicated in human labor.
ESR1 (ERα) plays a central upstream regulatory role in human labor by mediating estrogen-induced activation of the myometrium, thus promoting the transition from quiescence to a contractile phenotype. It does this by increasing gap junction formation for synchronization, enhancing prostaglandin production and sensitivity, and promoting inflammation via cytokines such as TNFα, IL1β, IL6, and IL8. We found that ESR1 expression increased significantly after 48 h of ex vivo incubation. This is consistent with previous research showing that ESR1 increased significantly at labor onset in the pregnant human myometrium at term [32, 37]. Since ESR1 regulates many CAPs, we assessed the expression of GJA1, a major gap junction protein essential for synchronized contractions, and PTGS2, a key enzyme in prostaglandin synthesis that increases local production of PGE2 and PGF2α, thereby reinforcing contractile activity, and OXTR, the G protein-coupled receptor responsible for oxytocin-mediated augmentation of myometrial contractility. Within our ex vivo labor model, both GJA1 and PTGS2 expression increased significantly, consistent with labor onset in vivo [23, 27, 30, 36], whereas OXTR expression decreased significantly, also consistent with labor onset in vivo [21, 24, 29, 30, 36]. Our observed significant increase in PTGS1 expression is inconsistent with prior reports that its expression remains stable throughout human pregnancy and labor [27, 54]; however, PTGS1 has been shown not to play a major role in the labor cascade in humans [27, 54].
HPGD encodes 15-hydroxyprostaglandin dehydrogenase (15-PGDH), the primary enzyme responsible for the initial inactivation of prostaglandins, particularly PGE2 and PGF2α, by converting them to inactive 15-keto metabolites, thus promoting myometrial quiescence during pregnancy. Although HPGD mRNA abundance increased in the ex vivo labor model, against expectations, it remains to be established whether HPGD undergoes any significant up- or downregulation in association with labor onset in vivo. Therefore, we cannot at this stage confirm whether the observed upregulation of HPGD expression in our ex vivo labor model is consistent with labor onset in vivo.
Previously, we showed that PR-A expression increased significantly after 48 h of incubation of human myometrial explants, whereas PR-B expression remained unchanged, resulting in a significant increase in the PR-A/PR-B ratio [19]. This is consistent with changes in PR isoform expression that occur during labor onset in vivo [26, 28, 32]. As such, we also sought to examine the expression of AKR1C1 and SRD5A1, as key enzymes involved in progesterone metabolism in the myometrium. AKR1C1 contributes to functional progesterone withdrawal by converting active progesterone to its inactive metabolite, 20α-hydroxyprogesterone (20α-OHP), thereby reducing progesterone availability for the pro-quiescence activation of progesterone receptor-B (PR-B) and unliganding pro-labor PR-A, which, together, allow upregulated expression of CAPs, such as GJA1, OXTR, and PTGS2 [35, 55]. AKR1C1 expression is significantly upregulated in our ex vivo labor model, consistent with previous studies showing that myometrial AKR1C1 mRNA abundance and 20α-HSD protein levels increase with the onset of human labor at term [25, 31, 33–35]. SRD5A1 encodes Steroid 5 Alpha-Reductase 1, which converts progesterone to 5α-dihydroprogesterone (5α-DHP), another inactive metabolite. Myometrial SRD5A1 expression increased significantly in the ex vivo labor model, consistent with SRD5A1 promoting progesterone withdrawal and labor onset; however, this is inconsistent with a previous report that SRD5A1 remains unchanged with labor onset in humans [25]. Additional comparisons of SRD5A1 expression in non-laboring versus laboring pregnant human myometrium are necessary to clarify whether SRD5A1 expression changes in association with labor onset in vivo.
MED17 is a subunit of the Mediator complex, a large multi-protein coactivator that bridges transcription factors to RNA polymerase II and regulates gene transcription in eukaryotes. The Mediator complex is crucial for integrating signals from transcription factors such as NF-κB (inflammation), ESR1 (estrogen activation), and PR isoforms, which orchestrate myometrial activation during labor. However, as there is currently no evidence of significant upregulation or downregulation of myometrial MED17 expression in association with human labor onset in vivo, we could not confirm whether the upregulated MED17 expression observed in our ex vivo labor model is consistent with labor onset in vivo.
NFκB3 (p65/RELA) is a subunit of the NFκB complex, activation of which is a central event in the inflammatory switch that transforms the quiescent myometrium into a contractile laboring state [56]. It regulates the expression of immune/inflammatory genes, including cytokines such as TNFα, IL1β, IL6, and IL8, as well as CAP-encoding genes, such as GJA1, OXTR, and PTGS2 [56]. The “canonical” NFκB complex is a heterodimer of NFκB3 (p65/RELA) and NFκB1 (p50) [57]. NFκB3 is the main driver of transcriptional activation, while NFκB1 is essential for DNA binding and dimer stability [57]. Previous research showed a significant decrease in the overall protein levels of both NFκB1 and NFκB3 in the lower but not the upper uterine segment during labor [57]. Moreover, NFκB3 was primarily cytoplasmic before labor and nuclear during labor in the upper segment of the myometrium [58]. Currently, there is no strong evidence of significant upregulation or downregulation of NFκB1 and NFκB3 expression specifically at the transition to labor in human myometrium. Therefore, we could not confirm whether the upregulated myometrial expression of NFκB1 and NFκB3 observed in our ex vivo labor model is consistent with labor onset in vivo.
TNFα is a key pro-inflammatory cytokine that plays a significant role in the inflammatory activation of the human myometrium during labor. It activates the NF-κB pathway, which leads to upregulation of CAPs, chemokines that recruit immune cells, and PR-A, thereby inducing functional progesterone withdrawal [59]. Moreover, TNFα synergizes with other cytokines, such as IL1β, and with mechanical stretch to sustain the inflammatory milieu [59]. We observed a significant increase in myometrial TNFα expression in our ex vivo labor model, consistent with previous research showing that TNFα levels rise markedly at labor onset in vivo [34, 45–48].
The pro-inflammatory cytokines IL1β, IL6, and IL8 play central roles in the inflammatory activation of the human myometrium during labor. IL1β is the most potent initiator of labor-associated inflammation. It stimulates prostaglandin production via upregulating PTGS2 expression [60], enhancing calcium signaling for contractions [61], promoting PR changes [62], inducing the production of other cytokines/chemokines [63, 64], and activating NFκB pathways [65, 66]. IL6 is a key trigger and amplifier in the labor cascade, as it stimulates prostaglandin and oxytocin production [64, 67], facilitates cervical ripening [68], indirectly induces uterine contractions [64, 67], and promotes immune-endocrine crosstalk [69, 70]. IL8 drives neutrophil and monocyte chemotaxis and recruitment to the myometrium, amplifying local inflammation [71, 72], and promotes leukocyte infiltration, which releases additional pro-labor mediators (cytokines, reactive oxygen species, prostaglandins) [73]. IL8, therefore, indirectly enhances myometrial activation via immune cell influx and is a downstream target of the NFκB/activator protein-1 (AP-1) pathways. Along with TNFα, these cytokines form part of a coordinated “core inflammatory response”. Accordingly, prior studies have shown that these pro-inflammatory cytokines increase significantly at the onset of labor in vivo [30, 36, 74–76]. Reassuringly, we observed that expression of IL1β, IL6, and IL8 all significantly increased in our ex vivo labor model, consistent with labor onset in vivo.
PLCL1 and PLCL2 are key negative regulators of intracellular calcium signaling by sequestering inositol 1,4,5-trisphosphate (IP3) or modulating phosphatidylinositol 4,5-bisphosphate (PIP2) metabolism, thereby attenuating calcium release from intracellular stores and suppressing smooth muscle contraction [77]. Previous research has shown that PLCL1 predominates in the human myometrium, whereas Plcl2 is more prominent in the pregnant mouse uterus; nevertheless, both are present in the human myometrium [78]. Consistent with previous research, we detected both PLCL1 and PLCL2 mRNA in term, non-laboring pregnant human myometrium, with PLCL1 exhibiting higher baseline abundance than PLCL2. Furthermore, we observed that PLCL1 mRNA abundance and PLCL1 protein levels decreased significantly within our ex vivo labor model, which is consistent with labor onset in vivo [30, 36, 74]. Currently, there is no strong evidence of significant upregulation or downregulation of PLCL2 mRNA abundance or PLCL2 protein levels specifically at the transition to labor in human myometrium. Therefore, we could not confirm whether the upregulated expression of PLCL2 observed in our ex vivo labor model is consistent with labor onset in vivo.
TRPV4 is a mechanosensitive, calcium-permeable ion channel expressed in human myometrial smooth muscle cells. Previous research has shown that TRPV4 mRNA abundance significantly increases with advancing gestation (mid- to late pregnancy) [79]; however, there is no consistent evidence establishing either a dramatic further increase or a decrease at labor onset (laboring vs. non-laboring term myometrium). Therefore, we could not confirm whether the significant increase in TRPV4 expression observed in our ex vivo labor model is consistent with labor onset in vivo. However, as TRPV4 activation leads to calcium influx and activation of the canonical calcium-dependent contraction signaling pathway, upregulated TRPV4 expression, as observed in our model, is generally considered pro-labor.
The myometrium undergoes significant remodeling during labor, for instance, cytoskeletal reorganization, increased excitability, inflammation, and mechanical stress from uterine distension/stretch. Small HSPBs play crucial roles in protecting cells from stress by stabilizing actin filaments, regulating actin-myosin interactions, and responding to oxidative/inflammatory cues, thus supporting the contractile apparatus without being classic CAPs [80]. Although HSPB1 mRNA abundance significantly decreased in our ex vivo labor model, HSPB1 protein levels remained unchanged, which is consistent with previous research showing that HSPB1 protein levels remained unchanged during labor onset [41]. HSPB5 mRNA abundance and HSPB5 protein levels both significantly increased in our ex vivo labor model, which is in contrast to a previous report that HSPB5 protein levels decreased with labor onset [41]. Finally, HSPB6 mRNA abundance and HSPB6 protein levels decreased significantly in our model; this is consistent with RNA-Seq data showing a significant decrease in HSPB6 mRNA abundance with labor [34], but inconsistent with protein data, which showed HSPB6 protein levels remained unchanged [49]. Currently, there is no strong evidence of significant upregulation or downregulation of HSPB1 and HSPB5 mRNA abundance at the transition to labor in human myometrium. Therefore, we could not confirm whether the changes in expression of these small HSPBs observed in our ex vivo labor model are consistent with labor onset in vivo.
PDEs are enzymes that hydrolyze cyclic nucleotides, primarily cAMP and cGMP, which are key second messengers that promote myometrial relaxation during pregnancy by activating protein kinase A (PKA) and protein kinase G (PKG), respectively, thereby reducing intracellular calcium and inhibiting contractions. PDE4 is the largest PDE family known to date, encoded by four distinct genes, PDE4A, PDE4B, PDE4C, and PDE4D. All four PDE4 variants have been found in pregnant myometrium, with PDE4D most prominently expressed, PDE4A and PDE4B markedly abundant, and PDE4C expressed at low levels [81]. Interestingly, PDE4B2 expression was more abundant in the myometria of pregnant women compared to non-pregnant women, whereas no difference was detected for PDE4A, PDE4C, and PDE4D between the two tissues [81]. Currently, there is no strong evidence of significant upregulation or downregulation of PDE4 mRNA abundance at the transition to labor in human myometrium. Therefore, we could not confirm whether the significantly upregulated expression of PDE4A, PDE4B, PDE4C, and PDE4D observed in our ex vivo labor model is consistent with labor onset in vivo. PDE5 is a major cGMP-hydrolyzing enzyme and is responsible for an estimated 75% of the total cGMP-hydrolyzing activity [82]. Belmonte et al. [83] detected PDE5 protein in human myometrial cells throughout pregnancy, with no major change reported with advancing gestation or at labor onset; however, the expression of PDE5 mRNA has yet to be explored in the human myometrium. Thus, we could not confirm whether the increased PDE5A expression observed in our ex vivo labor model is consistent with labor onset in vivo. PDE7, a specific cAMP-hydrolyzing enzyme encoded by two genes (PDE7A and PDE7B), was found in vascular smooth muscle where it regulates cAMP signaling involved in inflammation, cell proliferation, and contractility [84, 85]. Within the current literature, PDE7 has minimal to no documented role in human myometrium or labor onset. Here we report the detection of both PDE7A and PDE7B mRNA in non-laboring pregnant human myometrium, and that their expression significantly increased in our ex vivo labor model. Further research is needed to determine whether PDE7 isoforms play a role in the myometrium during labor onset in vivo. Finally, PDE8 is another specific cAMP-hydrolyzing enzyme with two isoforms, PDE8A and PDE8B. Based on current literature, PDE8 has minimal to no established role in human labor/myometrium. Nevertheless, an RNA-Seq study by Chan et al. [36] reported a significant decrease in PDE8B expression with labor onset in vivo. We detected both PDE8A and PDE8B mRNA in non-laboring pregnant human myometrium, with PDE8A expression significantly increasing in our ex vivo labor model, whereas PDE8B expression remained unchanged. Further research is needed to examine the expression of PDE8 isoforms in the human myometrium and to determine whether they promote labor onset.
In summary, combining the current dataset with our previously published PR-A and PR-B findings from the same explant model, 17 targets could be compared with established in vivo labor-associated changes. Fourteen exhibited consistent changes in expression in our ex vivo labor model. These 14 genes were ESR1, GJA1, OXTR, PTGS2, PR-A, PR-B, AKR1C1, TNFα, IL1β, IL6, IL8, PLCL1, HSPB1, and HSPB6. Only PTGS1, SRD5A1, and PDE8B exhibited expression changes that may be inconsistent with labor onset in vivo; however, these genes have been shown to play more secondary or compensatory roles in human labor. The other 15 genes examined in our ex vivo labor model have no established expression in the human myometrium or role in labor onset; therefore, we could not confirm whether the expression changes we observed in our model are consistent with labor onset in vivo. The results are summarized in Table 3.
Whole-transcriptome analysis conducted by Georgiou et al. [15] demonstrated that although explants cultured for 30 h more closely matched the gene expression profile of freshly biopsied myometrium than cultured primary or immortalized cells, the explants still exhibited significant expression changes in key genes relevant to myometrial function and parturition. These included increased expression of PTGS2 (7.02 ± 3.34 fold-change), IL6 (20.12 ± 4.27 fold-change), IL8 (200.53 ± 43.89 fold-change), IL1β (2.53 ± 0.09 fold-change), and GJA1 (1.06 ± 0.18 fold-change), and decreased expression of OXTR (− 11.93 ± 0.05 fold-change) [15]. We observed consistent gene expression changes in our 48 h cultured myometrial explants and documented many additional changes.
The mechanisms responsible for this culture-induced molecular remodeling remain to be established and are likely multifactorial. Removal of the myometrium from its native environment abruptly alters several physiological inputs that normally contribute to the maintenance of pregnancy. For example, explants are no longer exposed to the normal circulating endocrine milieu, including sustained progesterone exposure, and are separated from systemic and neighboring tissue-derived signals. Although the explant retains its local multicellular architecture and therefore preserves some cell–cell and paracrine interactions, the absence of vascular perfusion necessarily alters oxygen, nutrient, metabolite, and waste-product gradients. Adaptation to defined serum-free culture medium may further modify cellular metabolism and signaling. In addition, biopsy collection and dissection into small explants impose tissue injury and remove the mechanical forces experienced by the myometrium within the gravid uterus, either of which could initiate cellular stress and inflammatory responses. Although the precise underlying mechanism(s) are yet to be determined, the engagement of pathways that overlap with the physiological processes accompanying labor, including inflammatory signaling, functional progesterone withdrawal, prostaglandin synthesis, and cellular stress responses, suggests this model may nonetheless have experimental utility.
Taken together, these findings support the interpretation that explants of non-laboring myometrium undergo coordinated remodeling toward a labor-like molecular phenotype during 48 h of ex vivo culture. We therefore propose this system as an ex vivo model of the molecular transition toward human labor, while recognizing that direct comparison with laboring tissue and functional validation are still required.
This phenomenon has two important implications. First, data generated from prolonged culture of supposedly ‘non-laboring’ myometrial explants may no longer faithfully represent the freshly biopsied non-laboring state, which could confound interpretation of experiments intended to investigate quiescent myometrial biology. Second, the reproducible acquisition of labor-associated molecular characteristics creates an experimentally accessible system for interrogating mechanisms that drive the transition of term human myometrium toward a labor-like state.
Collectively, these findings move the field beyond viewing culture-induced divergence in myometrial explants simply as experimental drift. Instead, prolonged culture of term non-laboring human myometrium appears to represent a biologically informative transition state. This both exposes an under-recognized limitation of conventional explant studies and provides a new experimental opportunity to interrogate the temporal and mechanistic events associated with myometrial activation that precede established labor and are difficult to study directly in pregnant women.
The potential utility of this model extends beyond providing an alternative source of tissue exhibiting labor-associated characteristics. Comparisons of freshly collected non-laboring and laboring myometrium provide cross-sectional snapshots of two clinical states, whereas the present model begins with non-laboring tissue and enables the experimental examination of the transition toward a labor-like molecular phenotype within tissue from the same participant. This creates opportunities to define the temporal sequence of myometrial activation, identify early-response pathways, test candidate triggers and inhibitors, and determine whether the transition can be prevented or reversed. The explant system also retains multicellular composition, extracellular matrix, and three-dimensional tissue architecture that are absent from conventional monolayer cell cultures.
A major strength of this study is the use of primary term, non-laboring pregnant human myometrium, which provides greater physiological relevance to human parturition than isolated primary cells, immortalized cell lines, or animal models. The paired experimental design, in which freshly biopsied tissue from each participant served as the 0 h comparator for explants cultured for 48 h, minimizes the influence of inter-individual variability and allows culture-induced changes to be assessed within the same biological sample. The relatively large cohort used for the gene expression analyses (n = 30) further strengthened the robustness of these comparisons. Importantly, the study examined a broad panel of genes spanning multiple biological processes implicated in labor, including myometrial contractility, steroid and prostaglandin signaling, inflammation, calcium regulation, cellular stress, and cyclic nucleotide signaling, rather than relying on changes in a small number of canonical contraction-associated proteins. Many of the observed changes were concordant with those previously reported during the transition to labor in vivo, and selected findings were additionally assessed at the protein level. Together, these features provide convergent evidence that term non-laboring myometrial explants undergo coordinated molecular remodeling during ex vivo culture toward a labor-like phenotype, with numerous potential experimental applications, as previously defined.
Several limitations should nevertheless be considered when interpreting these findings. First, the comparison was made only between fresh (0 h) and 48 h-cultured explants. Future directions therefore include assessing the model over a more comprehensive timeline, including shorter incubation time points (e.g. 1, 2, 6, & 24 h), to determine how rapidly phenotypic transformation occurs (and potentially highlight the early responder genes that may be driving the transition), as well as longer timepoints (72, 96, & 120 h) to determine whether changes in gene expression and/or protein levels are transient or sustained. Second, the present study establishes a labor-like molecular phenotype but does not demonstrate a corresponding functional transition. Future studies would therefore ideally determine whether the documented changes in labor-associated gene and protein expression are accompanied by alterations in spontaneous contractile activity and responsiveness to uterotonics; however, such contractile studies are typically conducted with tissue strips or rings, and would require adaptation of existing organ bath equipment to be compatible with assessing the contractility of small, roughly cuboidal myometrial explants (~ 2 × 2 × 2 mm). Third, the analysis includes a targeted panel of 30 specific genes. Additional future directions, therefore, include omics analyses comparing explants across the ex vivo incubation timeline against freshly biopsied non-laboring and laboring pregnant human myometrium. Such analyses would provide valuable insights into how broadly our ex vivo labor model recapitulates the onset of labor in vivo. Fourth, inflammatory mediators were assessed at the mRNA level only. Transcriptome-wide analyses and measurement of cytokine protein in tissue or culture supernatants would provide broader validation of the model. Fifth, the removal of tissue from its native environment and subsequent ex vivo culture necessarily alter endocrine, paracrine, metabolic, mechanical, and oxygen-related inputs, and tissue injury or culture-associated stress may contribute to some of the observed transcriptional changes. Tissue viability, apoptosis, and cellular stress were not directly assessed and should be factored into future studies. Finally, the study population was heterogeneous with respect to clinical and maternal characteristics, including gestational age, BMI, obstetric indication for cesarean delivery, and potentially medication exposure. These factors may influence baseline myometrial phenotype or the magnitude of culture-induced responses. Although the paired design minimizes the influence of inter-individual variability on the primary analysis, the study was not designed to determine whether maternal or obstetric characteristics modify the magnitude or trajectory of the ex vivo transition.
In conclusion, term, non-laboring pregnant human myometrial explants undergo substantial molecular remodeling during 48 h of ex vivo culture, with coordinated changes in contractile, inflammatory, steroid-regulatory, prostaglandin, calcium-signaling, and cyclic nucleotide pathways. Many of these changes are consistent with those reported during the transition to labor in vivo, supporting the concept that cultured non-laboring myometrium acquires a labor-like molecular phenotype. These findings identify an important limitation of prolonged myometrial explant culture for studies intended to model the non-laboring state, while also establishing a potentially valuable ex vivo system for investigating mechanisms underlying human myometrial activation and labor onset.
Acknowledgements
The authors thank the obstetricians at John Hunter Hospital, NSW; our research midwives, Anne Wright, Bridget McCleery, and Skye Doel; and the research participants who donated samples for this study. The authors also thank Professor Andrew Blanks, of the University of Warwick, UK, for his guidance on PLCL1.
Glossary of Terms
- 1D
One-dimensional
- 2D
Two-dimensional
- 3D
Three-dimensional
- 15-PGDH
15-Hydroxyprostaglandin dehydrogenase
- 20α-HSD
20α-Hydroxysteroid dehydrogenase
- 20α-OHP
20α-Hydroxyprogesterone
- 5α-DHP
5α-Dihydroprogesterone
- AKR1C1
Aldo-keto reductase family 1 member C1 gene
- ANOVA
Analysis of variance
- AP-1
Activator protein-1
- BCA
Bicinchoninic acid
- cAMP
Cyclic adenosine monophosphate
- cGMP
Cyclic guanosine monophosphate
- CAP
Contraction-associated protein
- CS
Cesarean section
- Cx43
Connexin 43
- EDTA
Ethylenediaminetetraacetic acid
- DMEM
Dulbecco’s modified Eagle medium
- E2
Estradiol
- ESR1
Estrogen receptor 1
- GJA1
Gap junction alpha-1 protein
- HPGD
15-Hydroxyprostaglandin dehydrogenase
- HSPB1
Heat shock protein family B (small) member 1
- HSPB5
Heat shock protein family B (small) member 5
- HSPB6
Heat shock protein family B (small) member 6
- HRP
Horseradish peroxidase
- hTERT
Human telomerase reverse transcriptase
- IL1β
Interleukin 1 beta
- IL6
Interleukin 6
- IL8
Interleukin 8
- IP3
Inositol 1,4,5-trisphosphate
- MED17
Mediator of RNA polymerase II transcription subunit 17
- mRNA
Messenger ribonucleic acid
- NFκB1
Nuclear factor kappa-B 1
- NFκB3
Nuclear factor kappa-B 3
- OXTR
Oxytocin receptor gene
- P4
Progesterone
- PBS
Phosphate-buffered solution
- PDE4A
Phosphodiesterase 4A
- PDE4B
Phosphodiesterase 4B
- PDE4C
Phosphodiesterase 4C
- PDE4D
Phosphodiesterase 4D
- PDE5A
Phosphodiesterase 5A
- PDE7A
Phosphodiesterase 7A
- PDE7B
Phosphodiesterase 7B
- PDE8A
Phosphodiesterase 8A
- PDE8B
Phosphodiesterase 8B
- PG
Prostaglandin
- PGF2α
Prostaglandin F2α
- PIP2
Phosphatidylinositol 4,5-bisphosphate
- PKA
Protein kinase A
- PKG
Protein kinase G
- PLCL1
Phospholipase C like 1
- PLCL2
Phospholipase C like 2
- PR
Progesterone receptor
- RELA
V-rel avian reticuloendotheliosis viral oncogene homolog A
- RAP
Relaxation-associated protein
- RT-PCR
Real-time quantitative polymerase chain reaction
- PTGS1
Prostaglandin-endoperoxide synthase 1
- PTGS2
Prostaglandin-endoperoxide synthase 2
- RNA
Ribonucleic acid
- SMC
Smooth muscle cell
- SDS
Sodium dodecyl sulfate
- SDS-PAGE
Sodium dodecyl sulfate–polyacrylamide gel electrophoresis
- SRD5A1
Steroid 5-alpha-reductase 1
- TBS
Tris buffered saline
- TBS-T
Tris buffered saline tween-20
- TNFα
Tumor necrosis factor alpha
- TRPV4
Transient receptor potential cation channel subfamily V member 4
Authors’ Contributions
Conceptualization: MP, TZ, JWP. Sample collection: MP, APB, JWP. Data curation: MP, APB, AG, JWP. Formal analysis: MP, JWP. Funding acquisition: JWP, WMH, TZ. Manuscript drafting: MP, JWP. Review & editing: APB, AG, MK, MRH, WMH, FRW, RS, TZ.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions. This work was supported by the National Health and Medical Research Council, Australia (NHMRC) funding awarded to JWP, WMH, and TZ (GNT1162684 and GNT2012583) and JWP (GNT2033543). The funding providers had no involvement in the study or production of this article. Facilities and infrastructure were provided by the University of Newcastle and Hunter Medical Research Institute (HMRI).
Data Availability
Data available on request due to privacy/ethical restrictions.
Code Availability
Not applicable.
Declarations
Ethics Approval
The study was approved by the Hunter and New England Area Human Research Ethics Committee (2019/ETH12330).
Consent to Participate
All participants gave informed written consent.
Consent for Publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher'S Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Marina Paul and Anna Paredes Barreda are co-first authors. These authors contributed equally to the work.
References
- 1.Challis JRG, Matthews SG, Gibb W, Lye SJ. Endocrine and paracrine regulation of birth at term and preterm. Endocr Rev. 2000;21(5):514–50. [DOI] [PubMed] [Google Scholar]
- 2.Smith R, Paul J, Maiti K, Tolosa J, Madsen G. Recent advances in understanding the endocrinology of human birth. Trends Endocrinol Metab. 2012;23(10):516–23. 10.1016/j.tem.2012.05.002. [DOI] [PubMed] [Google Scholar]
- 3.Casey ML, MacDonald PC, Mitchell MD, Snyder JM. Maintenance and characterization of human myometrial smooth muscle cells in monolayer culture. In Vitro. 1984;20(5):396–403. 10.1007/BF02619585. [DOI] [PubMed] [Google Scholar]
- 4.Hayflick L, Moorhead PS. The serial cultivation of human diploid cell strains. Exp Cell Res. 1961;25:585–621. 10.1016/0014-4827(61)90192-6. [DOI] [PubMed] [Google Scholar]
- 5.Perez-Reyes N, Halbert CL, Smith PP, Benditt EP, McDougall JK. Immortalization of primary human smooth muscle cells. Proc Natl Acad Sci U S A. 1992;89(4):1224–8. 10.1073/pnas.89.4.1224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Monga M, Ku CY, Dodge K, Sanborn BM. Oxytocin-stimulated responses in a pregnant human immortalized myometrial cell line. Biol Reprod. 1996;55(2):427–32. 10.1095/biolreprod55.2.427. [DOI] [PubMed] [Google Scholar]
- 7.Condon J, Yin S, Mayhew B, Word RA, Wright WE, Shay JW, et al. Telomerase immortalization of human myometrial cells. Biol Reprod. 2002;67(2):506–14. 10.1095/biolreprod67.2.506. [DOI] [PubMed] [Google Scholar]
- 8.Soloff MS, Jeng YJ, Ilies M, Soloff SL, Izban MG, Wood TG, et al. Immortalization and characterization of human myometrial cells from term-pregnant patients using a telomerase expression vector. Mol Hum Reprod. 2004;10(9):685–95. 10.1093/molehr/gah086. [DOI] [PubMed] [Google Scholar]
- 9.Bell E, Ivarsson B, Merrill C. Production of a tissue-like structure by contraction of collagen lattices by human fibroblasts of different proliferative potential in vitro. Proc Natl Acad Sci USA. 1979;76(3):1274–8. 10.1073/pnas.76.3.1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Banerjee S, Xu W, Chowdhury I, Driss A, Ali M, Yang Q, et al. Human myometrial and uterine fibroid stem cell-derived organoids for intervening the pathophysiology of uterine fibroid. Reprod Sci. 2022;29(9):2607–19. 10.1007/s43032-022-00960-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Malik M, Catherino WH. Development and validation of a three-dimensional in vitro model for uterine leiomyoma and patient-matched myometrium. Fertil Steril. 2012;97(6):1287–93. 10.1016/j.fertnstert.2012.02.037. [DOI] [PubMed] [Google Scholar]
- 12.Souza GR, Tseng H, Gage JA, Mani A, Desai P, Leonard F, et al. Magnetically bioprinted human myometrial 3D cell rings as a model for uterine contractility. Int J Mol Sci. 2017;18:4. 10.3390/ijms18040683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ulrich C, Siddiqui K, Baldwin LK, Hua W, Kuklok JK, Okaikoi JJ, et al. A bioprinted model of pregnant human uterine myometrium. Front Bioeng Biotechnol. 2025;13:1632320. 10.3389/fbioe.2025.1632320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Pellegrino P, Greco S, Dumenigo Gonzalez A, Giampieri F, Giannubilo SR, Delli Carpini G, et al. Establishment of 3D cultures of myometrium, leiomyoma, and leiomyosarcoma cells: advantages and disadvantages of two different models. Reprod Sci. 2024;31(12):3729–42. 10.1007/s43032-024-01724-3. [DOI] [PubMed] [Google Scholar]
- 15.Young RC, Schumann R, Zhang P. Three-dimensional culture of human uterine smooth muscle myocytes on a resorbable scaffolding. Tissue Eng. 2003;9(3):451–9. 10.1089/107632703322066633. [DOI] [PubMed] [Google Scholar]
- 16.Busch C, Hill CJ, Paterson K, Mellin R, Zagnoni M, Hapangama DK, et al. Functional, patient-derived 3D tri-culture models of the uterine wall in a microfluidic array. Hum Reprod. 2024;39(11):2537–50. 10.1093/humrep/deae214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Georgiou EX, Lei K, Lai PF, Yulia A, Herbert BR, Castellanos M, et al. The study of progesterone action in human myometrial explants. Mol Hum Reprod. 2016;22(8):877–89. 10.1093/molehr/gaw037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Ilicic M, Butler T, Zakar T, Paul JW. The expression of genes involved in myometrial contractility changes during ex situ culture of pregnant human uterine smooth muscle tissue. J Smooth Muscle Res. 2017;53:73–89. 10.1540/jsmr.53.73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ilicic M, Zakar T, Paul JW. Modulation of progesterone receptor isoform expression in pregnant human myometrium. Biomed Res Int. 2017;2017:4589214. 10.1155/2017/4589214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Paul M, Barreda AP, Gregson A, Kahl R, King M, Hussein WM, et al. Regulation of 20alpha-hydroxysteroid dehydrogenase expression in term pregnant human myometrium ex vivo. Reprod Sci. 2024;31(1):150–61. 10.1007/s43032-023-01333-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bossmar T, Akerlund M, Fantoni G, Szamatowicz J, Melin P, Maggi M. Receptors for and myometrial responses to oxytocin and vasopressin in preterm and term human pregnancy: effects of the oxytocin antagonist atosiban. Am J Obstet Gynecol. 1994;171(6):1634–42. [DOI] [PubMed] [Google Scholar]
- 22.Chen L, Sooranna SR, Lei K, Kandola M, Bennett PR, Liang Z, et al. Cyclic AMP increases COX-2 expression via mitogen-activated kinase in human myometrial cells. J Cell Mol Med. 2012;16(7):1447–60. 10.1111/j.1582-4934.2011.01413.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chow L, Lye SJ. Expression of the gap junction protein connexin-43 is increased in the human myometrium toward term and with the onset of labor. Am J Obstet Gynecol. 1994;170(3):788–95. 10.1016/s0002-9378(94)70284-5. [DOI] [PubMed] [Google Scholar]
- 24.Fuchs AR, Fuchs F, Husslein P, Soloff MS. Oxytocin receptors in the human uterus during pregnancy and parturition. Am J Obstet Gynecol. 1984;150(6):734–41. 10.1016/0002-9378(84)90677-x. [DOI] [PubMed] [Google Scholar]
- 25.Lee RH, Stanczyk FZ, Stolz A, Ji Q, Yang G, Goodwin TM. AKR1C1 and SRD5A1 messenger RNA expression at term in the human myometrium and chorioamniotic membranes. Am J Perinatol. 2008;25(9):577–82. 10.1055/s-0028-1085626. [DOI] [PubMed] [Google Scholar]
- 26.Merlino AA, Welsh TN, Tan H, Yi LJ, Cannon V, Mercer BM, et al. Nuclear progesterone receptors in the human pregnancy myometrium: evidence that parturition involves functional progesterone withdrawal mediated by increased expression of progesterone receptor-A. J Clin Endocrinol Metab. 2007;92(5):1927–33. [DOI] [PubMed] [Google Scholar]
- 27.Moore SD, Brodt-Eppley J, Cornelison LM, Burk SE, Slater DM, Myatt L. Expression of prostaglandin H synthase isoforms in human myometrium at parturition. Am J Obstet Gynecol. 1999;180(1 Pt 1):103–9. 10.1016/s0002-9378(99)70157-2. [DOI] [PubMed] [Google Scholar]
- 28.Pieber D, Allport VC, Hills F, Johnson M, Bennett PR. Interactions between progesterone receptor isoforms in myometrial cells in human labour. Mol Hum Reprod. 2001;7(9):875–9. [DOI] [PubMed] [Google Scholar]
- 29.Rivera J, Lopez Bernal A, Varney M, Watson SP. Inositol 1,4,5-trisphosphate and oxytocin binding in human myometrium. Endocrinology. 1990;127(1):155–62. 10.1210/endo-127-1-155. [DOI] [PubMed] [Google Scholar]
- 30.Sharp GC, Hutchinson JL, Hibbert N, Freeman TC, Saunders PT, Norman JE. Transcription analysis of the myometrium of labouring and non-labouring women. PLoS ONE. 2016;11(5):e0155413. 10.1371/journal.pone.0155413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Williams KC, Renthal NE, Condon JC, Gerard RD, Mendelson CR. MicroRNA-200a serves a key role in the decline of progesterone receptor function leading to term and preterm labor. Proc Natl Acad Sci U S A. 2012;109(19):7529–34. 10.1073/pnas.1200650109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Mesiano S, Chan EC, Fitter JT, Kwek K, Yeo G, Smith R. Progesterone withdrawal and estrogen activation in human parturition are coordinated by progesterone receptor A expression in the myometrium. J Clin Endocrinol Metab. 2002;87(6):2924–30. 10.1210/jcem.87.6.8609. [DOI] [PubMed] [Google Scholar]
- 33.Nadeem L, Balendran R, Dorogin A, Mesiano S, Shynlova O, Lye SJ. Pro-inflammatory signals induce 20alpha-HSD expression in myometrial cells: a key mechanism for local progesterone withdrawal. J Cell Mol Med. 2021;25(14):6773–85. 10.1111/jcmm.16681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Paul M, Zakar T, Phung J, Gregson A, Barreda AP, Butler TA, et al. 20alpha-hydroxysteroid dehydrogenase expression in the human myometrium at term and preterm birth: relationships to fetal sex and maternal body mass index. Reprod Sci. 2023. 10.1007/s43032-023-01183-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Nadeem L, Shynlova O, Matysiak-Zablocki E, Mesiano S, Dong X, Lye S. Molecular evidence of functional progesterone withdrawal in human myometrium. Nat Commun. 2016;7:11565. 10.1038/ncomms11565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Chan YW, van den Berg HA, Moore JD, Quenby S, Blanks AM. Assessment of myometrial transcriptome changes associated with spontaneous human labour by high-throughput RNA-seq. Exp Physiol. 2014;99(3):510–24. 10.1113/expphysiol.2013.072868. [DOI] [PubMed] [Google Scholar]
- 37.Welsh T, Johnson M, Yi L, Tan H, Rahman R, Merlino A, et al. Estrogen receptor (ER) expression and function in the pregnant human myometrium: estradiol via ERalpha activates ERK1/2 signaling in term myometrium. J Endocrinol. 2012;212(2):227–38. 10.1530/JOE-11-0358. [DOI] [PubMed] [Google Scholar]
- 38.Ilicic M, Zakar T, Gregson A, Hussein WM, Smith R, Paul JW. Histone deacetylase inhibitors: providing new insights and therapeutic avenues for unlocking human birth. Reprod Sci. 2022;29(11):3134–46. 10.1007/s43032-021-00778-x. [DOI] [PubMed] [Google Scholar]
- 39.Huggett J, Dheda K, Bustin S, Zumla A. Real-time RT-PCR normalisation; strategies and considerations. Genes Immun. 2005;6(4):279–84. 10.1038/sj.gene.6364190. [DOI] [PubMed] [Google Scholar]
- 40.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25(4):402–8. 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
- 41.MacIntyre DA, Tyson EK, Read M, Smith R, Yeo G, Kwek K, et al. Contraction in human myometrium is associated with changes in small heat shock proteins. Endocrinology. 2008;149(1):245–52. [DOI] [PubMed] [Google Scholar]
- 42.White BG, Williams SJ, Highmore K, Macphee DJ. Small heat shock protein 27 (Hsp27) expression is highly induced in rat myometrium during late pregnancy and labour. Reproduction. 2005;129(1):115–26. 10.1530/rep.1.00426. [DOI] [PubMed] [Google Scholar]
- 43.Cross BE, O’Dea HM, MacPhee DJ. Expression of small heat shock-related protein 20 (HSP20) in rat myometrium is markedly decreased during late pregnancy and labour. Reproduction. 2007;133(4):807–17. 10.1530/rep-06-0291. [DOI] [PubMed] [Google Scholar]
- 44.Chegini N, Ma C, Tang XM, Williams RS. Effects of GnRH analogues, ‘add-back’ steroid therapy, antiestrogen and antiprogestins on leiomyoma and myometrial smooth muscle cell growth and transforming growth factor-beta expression. Mol Hum Reprod. 2002;8(12):1071–8. 10.1093/molehr/8.12.1071. [DOI] [PubMed] [Google Scholar]
- 45.Cordeaux Y, Tattersall M, Charnock-Jones DS, Smith GC. Effects of medroxyprogesterone acetate on gene expression in myometrial explants from pregnant women. J Clin Endocrinol Metab. 2010;95(12):E437–47. 10.1210/jc.2010-1541. [DOI] [PubMed] [Google Scholar]
- 46.Anderson L, Martin W, Higgins C, Nelson SM, Norman JE. The effect of progesterone on myometrial contractility, potassium channels, and tocolytic efficacy. Reprod Sci. 2009;16(11):1052–61. 10.1177/1933719109340926. [DOI] [PubMed] [Google Scholar]
- 47.Paul J, Maiti K, Read M, Hure A, Smith J, Chan EC, et al. Phasic phosphorylation of caldesmon and ERK 1/2 during contractions in human myometrium. PLoS ONE. 2011;6(6):e21542. 10.1371/journal.pone.0021542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Paul JW, Hua S, Ilicic M, Tolosa JM, Butler T, Robertson S, et al. Drug delivery to the human and mouse uterus using immunoliposomes targeted to the oxytocin receptor. Am J Obstet Gynecol. 2017;216(3):283 e1-283 e14. 10.1016/j.ajog.2016.08.027. [DOI] [PubMed] [Google Scholar]
- 49.Tyson EK, Smith R, Read M. Evidence that corticotropin-releasing hormone modulates myometrial contractility during human pregnancy. Endocrinology. 2009;150(12):5617–25. [DOI] [PubMed] [Google Scholar]
- 50.Martinez-Mir I, Estañ L, Morales-Olivas FJ, Rubio E. Studies of the spontaneous motility and the effect of histamine on isolated myometrial strips of the nonpregnant human uterus: the influence of various uterine abnormalities. Am J Obstet Gynecol. 1990;163(1 Pt 1):189–95. 10.1016/s0002-9378(11)90697-8. [DOI] [PubMed] [Google Scholar]
- 51.Phoenix J, Wray S. Changes in frequency and force production of the human myometrium with alteration of pH and metabolism. J Reprod Fertil. 1993;97(2):507–12. 10.1530/jrf.0.0970507. [DOI] [PubMed] [Google Scholar]
- 52.Bradley KK, Buxton IL, Barber JE, McGaw T, Bradley ME. Nitric oxide relaxes human myometrium by a cGMP-independent mechanism. Am J Physiol. 1998;275(6):C1668–73. 10.1152/ajpcell.1998.275.6.C1668. [DOI] [PubMed] [Google Scholar]
- 53.Bugg GJ, Riley MJ, Johnston TA, Baker PN, Taggart MJ. Hypoxic inhibition of human myometrial contractions in vitro: implications for the regulation of parturition. Eur J Clin Invest. 2006;36(2):133–40. 10.1111/j.1365-2362.2006.01600.x. [DOI] [PubMed] [Google Scholar]
- 54.Slater DM, Dennes WJ, Campa JS, Poston L, Bennett PR. Expression of cyclo-oxygenase types-1 and -2 in human myometrium throughout pregnancy. Mol Hum Reprod. 1999;5(9):880–4. 10.1093/molehr/5.9.880. [DOI] [PubMed] [Google Scholar]
- 55.Peavey MC, Wu SP, Li R, Liu J, Emery OM, Wang T, et al. Progesterone receptor isoform B regulates the Oxtr-Plcl2-Trpc3 pathway to suppress uterine contractility. Proc Natl Acad Sci USA. 2021. 10.1073/pnas.2011643118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lindstrom TM, Bennett PR. The role of nuclear factor kappa B in human labour. Reproduction. 2005;130(5):569–81. 10.1530/rep.1.00197. [DOI] [PubMed] [Google Scholar]
- 57.Chapman NR, Europe-Finner GN, Robson SC. Expression and deoxyribonucleic acid-binding activity of the nuclear factor kappaB family in the human myometrium during pregnancy and labor. J Clin Endocrinol Metab. 2004;89(11):5683–93. 10.1210/jc.2004-0873. [DOI] [PubMed] [Google Scholar]
- 58.Condon JC, Hardy DB, Kovaric K, Mendelson CR. Up-regulation of the progesterone receptor (PR)-C isoform in laboring myometrium by activation of nuclear factor-kappaB may contribute to the onset of labor through inhibition of PR function. Mol Endocrinol. 2006;20(4):764–75. 10.1210/me.2005-0242. [DOI] [PubMed] [Google Scholar]
- 59.Shynlova O, Lee YH, Srikhajon K, Lye SJ. Physiologic uterine inflammation and labor onset: integration of endocrine and mechanical signals. Reprod Sci. 2013;20(2):154–67. 10.1177/1933719112446084. [DOI] [PubMed] [Google Scholar]
- 60.Rauk PN, Chiao JP. Interleukin-1 stimulates human uterine prostaglandin production through induction of cyclooxygenase-2 expression. Am J Reprod Immunol. 2000;43(3):152–9. 10.1111/j.8755-8920.2000.430304.x. [DOI] [PubMed] [Google Scholar]
- 61.Tribe RM, Moriarty P, Dalrymple A, Hassoni AA, Poston L. Interleukin-1beta induces calcium transients and enhances basal and store operated calcium entry in human myometrial smooth muscle. Biol Reprod. 2003;68(5):1842–9. 10.1095/biolreprod.102.011403. [DOI] [PubMed] [Google Scholar]
- 62.Peters GA, Yi L, Skomorovska-Prokvolit Y, Patel B, Amini P, Tan H, et al. Inflammatory stimuli increase progesterone receptor-A stability and transrepressive activity in myometrial cells. Endocrinology. 2017;158(1):158–69. 10.1210/en.2016-1537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Leimert KB, Verstraeten BSE, Messer A, Nemati R, Blackadar K, Fang X, et al. Cooperative effects of sequential PGF2alpha and IL-1beta on IL-6 and COX-2 expression in human myometrial cellsdagger. Biol Reprod. 2019;100(5):1370–85. 10.1093/biolre/ioz029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Friebe-Hoffmann U, Chiao JP, Rauk PN. Effect of IL-1beta and IL-6 on oxytocin secretion in human uterine smooth muscle cells. Am J Reprod Immunol. 2001;46(3):226–31. 10.1034/j.1600-0897.2001.d01-6.x. [DOI] [PubMed] [Google Scholar]
- 65.Chevillard G, Derjuga A, Devost D, Zingg HH, Blank V. Identification of interleukin-1beta regulated genes in uterine smooth muscle cells. Reproduction. 2007;134(6):811–22. 10.1530/REP-07-0289. [DOI] [PubMed] [Google Scholar]
- 66.Lappas M. The IL-1beta signalling pathway and its role in regulating pro-inflammatory and pro-labour mediators in human primary myometrial cells. Reprod Biol. 2017;17(4):333–40. 10.1016/j.repbio.2017.09.006. [DOI] [PubMed] [Google Scholar]
- 67.Mitchell MD, Dudley DJ, Edwin SS, Schiller SL. Interleukin-6 stimulates prostaglandin production by human amnion and decidual cells. Eur J Pharmacol. 1991;192(1):189–91. 10.1016/0014-2999(91)90090-d. [DOI] [PubMed] [Google Scholar]
- 68.Sennstrom MB, Ekman G, Westergren-Thorsson G, Malmstrom A, Bystrom B, Endresen U, et al. Human cervical ripening, an inflammatory process mediated by cytokines. Mol Hum Reprod. 2000;6(4):375–81. [DOI] [PubMed] [Google Scholar]
- 69.Nishino E, Matsuzaki N, Masuhiro K, Kameda T, Taniguchi T, Takagi T, et al. Trophoblast-derived interleukin-6 (IL-6) regulates human chorionic gonadotropin release through IL-6 receptor on human trophoblasts. J Clin Endocrinol Metab. 1990;71(2):436–41. 10.1210/jcem-71-2-436. [DOI] [PubMed] [Google Scholar]
- 70.Stephanou A, Handwerger S. Interleukin-6 stimulates placental lactogen expression by human trophoblast cells. Endocrinology. 1994;135(2):719–23. 10.1210/endo.135.2.8033820. [DOI] [PubMed] [Google Scholar]
- 71.Chan LP, Liu C, Chiang FY, Wang LF, Lee KW, Chen WT, Kuo PL, Liang CH. IL-8 promotes inflammatory mediators and stimulates activation of p38 MAPK/ERK-NF-kappaB pathway and reduction of JNK in HNSCC. Oncotarget. 2017;8:34:56375–56388. 10.18632/oncotarget.16914. [DOI] [PMC free article] [PubMed]
- 72.Corre I, Pineau D, Hermouet S. Interleukin-8: an autocrine/paracrine growth factor for human hematopoietic progenitors acting in synergy with colony stimulating factor-1 to promote monocyte-macrophage growth and differentiation. Exp Hematol. 1999;27(1):28–36. 10.1016/s0301-472x(98)00032-0. [DOI] [PubMed] [Google Scholar]
- 73.Osman I, Young A, Ledingham MA, Thomson AJ, Jordan F, Greer IA, et al. Leukocyte density and pro-inflammatory cytokine expression in human fetal membranes, decidua, cervix and myometrium before and during labour at term. Mol Hum Reprod. 2003;9(1):41–5. [DOI] [PubMed] [Google Scholar]
- 74.Bollapragada S, Youssef R, Jordan F, Greer I, Norman J, Nelson S. Term labor is associated with a core inflammatory response in human fetal membranes, myometrium, and cervix. Am J Obstet Gynecol. 2009;200(1):104 e1-11. 10.1016/j.ajog.2008.08.032. [DOI] [PubMed] [Google Scholar]
- 75.Huang Q, Li P, Zheng Z, Sha X, Wang L, Lin B, et al. The synergistic effects of prostaglandin and IL-1beta on myometrial and cervical stromal cells at the onset of labor. Cytokine. 2025;190:156927. 10.1016/j.cyto.2025.156927. [DOI] [PubMed] [Google Scholar]
- 76.Lopez TE, Zhang H, Bouysse E, Neiers F, Ye XY, Garrido C, et al. A pivotal role for the IL-1beta and the inflammasome in preterm labor. Sci Rep. 2024;14(1):4234. 10.1038/s41598-024-54507-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Otsuki M, Fukami K, Kohno T, Yokota J, Takenawa T. Identification and characterization of a new phospholipase C-like protein, PLC-L(2). Biochem Biophys Res Commun. 1999;266(1):97–103. 10.1006/bbrc.1999.1784. [DOI] [PubMed] [Google Scholar]
- 78.Li WN, Dickson MJ, DeMayo FJ, Wu SP. The role of progesterone receptor isoforms in the myometrium. J Steroid Biochem Mol Biol. 2022;224:106160. 10.1016/j.jsbmb.2022.106160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Ying L, Becard M, Lyell D, Han X, Shortliffe L, Husted CI, et al. The transient receptor potential vanilloid 4 channel modulates uterine tone during pregnancy. Sci Transl Med. 2015;7(319):319ra204. 10.1126/scitranslmed.aad0376. [DOI] [PubMed] [Google Scholar]
- 80.Salinthone S, Tyagi M, Gerthoffer WT. Small heat shock proteins in smooth muscle. Pharmacol Ther. 2008;119(1):44–54. 10.1016/j.pharmthera.2008.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Leroy MJ, Mehats C, Duc-Goiran P, Tanguy G, Robert B, Dallot E, et al. Effect of pregnancy on PDE4 cAMP-specific phosphodiesterase messenger ribonucleic acid expression in human myometrium. Cell Signal. 1999;11(1):31–7. 10.1016/s0898-6568(98)00028-x. [DOI] [PubMed] [Google Scholar]
- 82.Rybalkin SD, Rybalkina IG, Feil R, Hofmann F, Beavo JA. Regulation of cGMP-specific phosphodiesterase (PDE5) phosphorylation in smooth muscle cells. J Biol Chem. 2002;277(5):3310–7. 10.1074/jbc.M106562200. [DOI] [PubMed] [Google Scholar]
- 83.Belmonte A, Ticconi C, Dolci S, Giorgi M, Zicari A, Lenzi A, et al. Regulation of phosphodiesterase 5 expression and activity in human pregnant and non-pregnant myometrial cells by human chorionic gonadotropin. J Soc Gynecol Investig. 2005;12(8):570–7. 10.1016/j.jsgi.2005.09.002. [DOI] [PubMed] [Google Scholar]
- 84.Hetman JM, Soderling SH, Glavas NA, Beavo JA. Cloning and characterization of PDE7B, a cAMP-specific phosphodiesterase. Proc Natl Acad Sci U S A. 2000;97(1):472–6. 10.1073/pnas.97.1.472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Smith SJ, Brookes-Fazakerley S, Donnelly LE, Barnes PJ, Barnette MS, Giembycz MA. Ubiquitous expression of phosphodiesterase 7A in human proinflammatory and immune cells. Am J Physiol Lung Cell Mol Physiol. 2003;284(2):L279–89. 10.1152/ajplung.00170.2002. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data available on request due to privacy/ethical restrictions.
Not applicable.
