Abstract
Preeclampsia (PE), a leading cause of maternal/fetal morbidity and mortality, is a hypertensive pregnancy disorder with end-organ damage that manifests after 20 wk of gestation. PE is characterized by chronic immune activation and endothelial dysfunction. Clinical studies report reduced IL-33 signaling in PE. We use the Reduced Uterine Perfusion Pressure (RUPP) rat model, which mimics many PE characteristics including reduced IL-33, to identify mechanisms mediating PE pathophysiology. We hypothesized that IL-33 supplementation would improve blood pressure (BP), inflammation, and oxidative stress (ROS) during placental ischemia. We implanted intraperitoneal mini-osmotic pumps infusing recombinant rat IL-33 (1 µg/kg/day) into normal pregnant (NP) and RUPP rats from gestation day 14 to 19. We found that IL-33 supplementation in RUPP rats reduces maternal blood pressure and improves the uterine artery resistance index (UARI). In addition to physiological improvements, we found decreased circulating and placental cytolytic Natural Killer cells (cNKs) and decreased circulating, placental, and renal TH17s in IL-33-treated RUPP rats. cNK cell cytotoxic activity also decreased in IL-33-supplemented RUPP rats. Furthermore, renal ROS and placental preproendothelin-1 (PPET-1) decreased in RUPP rats treated with IL-33. These findings demonstrate a role for IL-33 in controlling vascular function and maternal BP during pregnancy by decreasing inflammation, renal ROS, and PPET-1 expression. These data suggest that IL-33 may have therapeutic potential in managing PE.
NEW & NOTEWORTHY Though decreased IL-33 signaling has been clinically associated with PE, the mechanisms linking this signaling pathway to overall disease pathophysiology are not well understood. This study provides compelling evidence that mechanistically links reduced IL-33 with the inflammatory response and vascular dysfunction observed in response to placental ischemia, such as in PE. Data presented in this study submit the IL-33 signaling pathway as a possible therapeutic target for the treatment of PE.
Listen to this article’s corresponding podcast at https://ajpheart.podbean.com/e/il-33-supplementation-improves-rupp-pathophysiology/.
Keywords: hypertension, IL-33, inflammation, pregnancy
INTRODUCTION
Preeclampsia (PE) is a hypertensive pregnancy syndrome characterized by a combination of end-organ dysfunction and the development of new-onset hypertension (HTN) after 20 wk of gestation (1). In the United States, PE is one of the leading causes of pregnancy mortality, and unfortunately, rates have continued to rise over the past 20 years (2). Not only is PE a significant factor in maternal and fetal morbidity, it has also been recognized as a significant risk factor for future cardiovascular and renal disease in both the mother and child (3). The only curative treatment has been delivery of the fetal-placental unit, although this does not always result in resolution of PE symptomology (4). The limited treatment options for management of PE are largely due to the fact that PE etiology is still poorly understood (5, 6). However, placental hypoxia resulting from improper spiral artery remodeling or other insult, such as inflammation or placental injury, is proposed to initiate the pathogenesis of PE (7–10).
In addition to overt symptoms such as maternal HTN, patients with PE also demonstrate immunological abnormalities such as the increased release of inflammatory cytokines, anti-angiogenic factors, and increased oxidative stress (7, 11, 12). Immune cell populations also undergo a phenotypic shift from a fetal-tolerant state toward a proinflammatory state, with increased populations of effector cells including T-helper 17 cells (TH17s) and cytolytic NK cells (cNKs), which are linked to the endothelial dysfunction that underlies PE’s hypertensive symptoms (13–16). For our study, we utilized the reduced uterine perfusion pressure (RUPP) preclinical model of placental ischemia, which recapitulates many PE characteristics (17) and is widely used to study the immunological and pathophysiological changes associated with PE (18–22).
A probable mediating event for these PE immunological changes is activation of the NOD-like receptor and pyrin domain-containing protein 3 (NLRP3) inflammasome. Clinical studies have reported increased NLRP3 expression in PE, other pregnancy-related disorders, and hypertensive diseases; and studies suggest an important role for the NLRP3 inflammasome in mediating the inflammation and vascular dysfunction associated with those conditions (23–27). Recent work from our laboratory has demonstrated that NLRP3 activation mediates activation and expansion of TH17 and cNK cell populations (28). Work from our laboratory and others in PE and various other inflammatory diseases have suggested that NLRP3 activation may activate TH17 and cNK cells through inhibition of interleukin-33 (IL-33) signaling (28–30). IL-33 is a pleiotropic cytokine that modulates the immune response and regulates immune cells, including TH17 and cNK cells, through its binding to membrane-bound interleukin 1 receptor-like 1 (ST2) receptors (31–34). Binding of IL-33 to membrane-bound ST2 receptors activates a type 2 immune response. In other inflammatory diseases as well as our own work, NLRP3 has been implicated in disrupting IL-33 signaling (28, 29, 35). Clinical studies suggesting reduction of IL-33 signaling in PE have differed on whether IL-33 is downregulated or sequestered. A study from Chen et al. showed decreased levels of IL-33 in PE placental tissue but no differences in placental ST2 levels (36). Alternatively, a study by Grenne et al. showed no differences in plasma levels of IL-33 between nonpregnant, normal pregnant, and women with PE throughout pregnancy, but reported that plasma soluble interleukin 1 receptor-like 1 (sST2) levels, which acts as a decoy receptor to block IL-33 activity, increased in plasma of women with PE (37). Importantly, in our previously published study using the RUPP model, we observed both reduced placental IL-33 as well as increased plasma sST2 in the RUPP rat when compared to the Sham control (28). These studies suggest differential regulation of IL-33 signaling in the circulation versus placenta during PE. Thus, IL-33 signaling may be disrupted in PE due to (1) IL-33 antagonism/sequestration by increased sST2 in the circulation and/or (2) by decreased IL-33 protein within the placenta. Based on these prior studies and potential mechanisms driving inhibition of IL-33 signaling, we hypothesized that supplementation of IL-33 will increase circulating and placental IL-33 levels, reduce TH17 and cNK cell activation, inflammation, and oxidative stress leading to improved vascular function and attenuation of the maternal HTN and fetal growth restriction (FGR) that occurs in response to placental ischemia during pregnancy.
MATERIALS AND METHODS
Animals
Female virgin Sprague-Dawley rats between 10 and 12 wk of age were mated overnight to age-matched males. The presence of a sperm plug the next day was considered a positive pregnancy and deemed gestational day 0 (GD0). Animals were maintained on standard bedding, 2020X Teklad Global Soy Protein-Free Extruded rodent diet (Envigo), a 12-h:12-h light/dark cycle, and allowed ad libitum access to food and water. Animals were group-housed from GD0 until surgeries were performed. Animals were randomly assigned to experimental groups and housed in the Center for Comparative Research at the University of Mississippi Medical Center (UMMC). The UMMC Institutional Animal Care and Use Committee approved the protocols (No. 2021-1162) in this study. Protocols are in accordance with the National Institutes of Health guidelines for the use and care of animals. Randomized allocation and blinded analysis are routinely employed in our laboratory and were employed for all protocols in this study. A schematic detailing the timeline of the study can be found in Supplemental Fig. S7; note: all supplemental material may be found at https://doi.org/10.6084/m9.figshare.25029776.v2).
Reduced Uterine Perfusion Pressure Surgery
On GD14, a subset of pregnant rats underwent RUPP surgery under 3% isoflurane anesthesia (38, 39). Briefly, after a midline incision, the lower abdominal aorta was isolated, and a restrictive silver clip (0.203 mm) was applied superior to the iliac bifurcation to restrict blood flow to the uterine horn. Compensatory ovarian circulation to the uterus was reduced by the placement of restrictive clips (0.100 mm) to branches of the ovarian arteries. Another subset of pregnant rats also underwent a sham surgery of the RUPP in which clips were not placed (NP).
IL-33 Administration
On GD14, a mini osmotic pump (model 2002, Alzet Scientific Corporation) was placed intraperitoneally to infuse either saline vehicle or recombinant rat IL-33 (1 µg/kg/day, NBP2-35248, Novus Biologicals) from GD14 through GD19. Previous studies in rats treated with IL-33 utilized dosing ranging from 1 µg/animal to 0.1 mg/kg (40, 41). We used a lower dose at 1 µg/kg/day, and our data showed antihypertensive and reduced fetal growth restriction effects at this lower dose. Vehicle and IL-33-treated animals demonstrated no differences in body weight (Supplemental Fig. S6).
Mean Arterial Pressure Measurement
On GD18, catheters constructed from V3 tubing (BB21785, Scientific Commodities) were placed into the carotid arteries and tunneled to the back of the neck under 3% isoflurane anesthesia. On GD19, rats were placed in individual restrainers and connected to a pressure transducer. Conscious mean arterial pressure (MAP) was monitored using PowerLab software (AD Instruments) and recorded for 30 min following a 30-min stabilization period.
Uterine Artery Resistance Index Measurement
On GD18, Doppler sonography was performed on rats under 3% isoflurane anesthesia to measure the uterine artery resistance index (UARI). A representative Doppler sonograph is shown in Supplemental Fig. S5. Doppler velocimetry measurements on the uterine arteries were taken on a Vevo 770 unit (Visual Sonics) with a 30-Hz transducer (Model No. 710B). One placenta from each uterine horn was imaged to capture waveforms representing the peak systolic velocity (PSV) and end-diastolic flow velocity (EDV). The placenta visualized was the placenta midway between the ovary and cervix on both sides. Three waveforms were measured for velocities per frame. UARI was calculated using the equation UARI = (PSV − EDV)/PSV.
Sample Collection and Protein Isolation
After MAP measurement on GD19, rats were anesthetized under 3% isoflurane anesthesia for blood and tissue collection. Animals were exsanguinated via blood collection followed by bilateral pneumothorax for euthanasia. Total litter size, number of live fetuses per litter, placental weights, and fetal weights were recorded for each dam and averaged. Reabsorption rates were calculated as the percentage of reabsorbed fetuses over the total number of fetuses in the litter. Randomly selected placenta tissues were immediately frozen in liquid nitrogen and stored at −80°C until analysis. Placenta (including the decidua) and kidney samples were homogenized in T-PER Tissue Protein Extraction Reagent (78510, Thermo Fisher Scientific) containing 1 mM activated vanadate (BP-440, Boston BioProducts), protease inhibitor cocktail (P8340, MilliporeSigma), and 1X HALT protease and phosphatase inhibitor (78441, Thermo Fisher Scientific).
IL-33 and ST2 Quantification
Homogenized placental samples and plasma were tested for IL-33 and ST2 levels using the Rat IL-33 ELISA kit (ab236714, Abcam) and the Rat ST2 ELISA kit (ab255716, Abcam). Undiluted samples were assayed in duplicate and analyzed according to the manufacturer’s instructions. Data are expressed as pg/mL (plasma) and pg/mg (tissue). Placental data were normalized to protein concentration, determined via the Pierce BCA Protein Assay Kit (23225, Thermo Fisher Scientific). Plasma and placenta IL-33 to ST2 ratios were calculated as the IL-33 level divided by the ST2 level.
RNA Isolation and Real-Time Quantitative PCR
Using the Qiagen RNeasy Plus Mini Kit (74134, Qiagen), placental RNA was isolated according to the manufacturer’s protocol. An A260/A280 ratio of 1.8–2.2 was used to confirm RNA quality of samples on a Take3 multivolume plate (BTTAKE3TRIO, Agilent) with a BioTek Synergy H1 microplate reader (Agilent). Isolated RNA was converted to cDNA with iScript Reverse Transcription Supermix for RT-qPCR (1708841, BioRad). Real-time quantitative PCR (RT-qPCR) was performed with Bio-Rad SYBR Green Supermix (1725271), PPET-1 primers (forward: CTAGGTCTAAGCGATCCTTG and reverse: TCTTTGTCTGCTTGGC) (42), and the PrimePCR SYBR Green Assay for GAPDH (10025636) on a BioRad iCycler under the following conditions: 1 cycle of 95°C for 2 min (activation), 40 cycles of 95°C for 5 s (denaturation), and 60°C for 30 s (extension). With melt curve analysis from 65°C to 95°C in 0.5°C increment at 5 s/step, qPCR products were verified to be single amplicons. PPET-1 expression levels were normalized to GAPDH and quantified using the comparative CT method (ΔΔCT).
Flow Cytometry
Leukocyte single-cell suspensions from blood, placenta, and kidney were prepared as previously described (38, 43) and blocked with 10% goat and mouse serum prior to staining for flow cytometry. Antibodies used to stain for NK cells (defined as CD3−ANK61+ cells for total NK cells and CD3−ANK61 + ANK44+ cells for activated NK cells) were as follows: adenomatous polyposis coli protein (APC)-conjugated anti-CD3 (1:10, Miltenyi Biotec Cat. No. 130-102-679, RRID:AB_2657097), mouse anti-rat ANK61 (1:50, Abcam Cat. No. ab36392, RRID:AB_776652), mouse anti-rat ANK44 (1:100, Abcam Cat. No. ab36388, RRID:AB_776651), goat anti-mouse IgG FITC (1:50, Abcam Cat. No. ab6785, RRID:AB_955241), and rabbit anti-mouse IgG AlexaFluor405 (1:100, Abcam Cat. No. ab175651, RRID:AB_2923541). Antibodies used to stain for TH17 cells (defined as CD4+ CD25-RORγ+) were as follows: FITC-conjugated anti-CD4 antibody (1:10, Miltenyi Biotec Cat. No. 130-107-623, RRID:AB_2657928), phycoerythrin (PE)-conjugated anti-CD25 (1:50, BD Biosciences Cat. No. 554866, RRID:AB_395564), and peridinin-chlorophyll-protein (PerCP)-conjugated anti-RORγt (1:5, R and D Systems Cat. No. IC6006C, RRID:AB_10571437). Flow cytometry was carried out on a Miltenyi MACSQuant Analyzer 10 (Miltenyi Biotec) and underwent analysis using FlowLogic software (Innovai). After dead cell exclusion using Viobility Fixable dye staining (130-109-814, Miltenyi Biotec) and doublet exclusion, lymphocytes were gated in the forward and side scatter plots and analyzed with fluorescence minus one (FMO) controls. Gating strategies for NK cells (Supplemental Fig. S3) and TH17 cells (Supplemental Fig. S4) are included in Supplemental Data. Data are expressed as the percentage of live cells in the gated lymphocyte population.
NK Cell Cytotoxicity Assay
Fresh NK cells were isolated from placentas on the day of harvest as previously described by our laboratory (44). Four placentas from a single dam were pooled together to represent one animal. Briefly, lymphocytes were subject to MACS magnetic bead cell separation (Miltenyi). NK cells were isolated using biotin-conjugated anti-CD3 antibody (1:10, Miltenyi Biotec Cat. No. 130-123-858, RRID:AB_2904993), PE-conjugated anti-CD161 antibody (1:10, Miltenyi Biotec Cat. No. 130-102-712, RRID:AB_2655445), anti-biotin microbeads (1:10, Miltenyi Biotec Cat. No. 130-090-485, RRID:AB_244365), and anti-PE microbeads (1:5, Miltenyi Biotec Cat. No. 130-048-801, RRID:AB_244373). Isolated CD3−CD161+ NK cells were cultured for 48 h at 37°C, 5% CO2 in a humidified incubator in culture media [RPMI, 10% FBS, 1% penicillin-streptomycin, and 2 ng/mL recombinant rat IL-2 (502-RL-010, R&D Systems)]. NK cell cytotoxic activity against YAC1 target cells (ATCC) was measured using the Cytotox 96 Non-Radioactive Cytotoxicity Assay kit (Promega). Samples were plated in duplicate at a ratio of 50:1 of NK:YAC1 and incubated for 5 h. Data calculations were performed according to the manufacturer’s instructions and are expressed as fold change in cytotoxic activity, normalized to NP NK cytotoxic activity.
Oxidative Stress Measurement
As previously described by our laboratory, superoxide production was measured in homogenized placenta and kidney samples using lucigenin (38, 39). Homogenized samples and lucigenin (5 µM), with or without NADPH (0.163 M), were incubated together and allowed to equilibrate at 37°C for 15 min in the dark. Ten seconds of luminescence were then measured with a BioTek Plate Reader. An assay blank with only lucigenin was subtracted from the reading. Data were normalized to protein concentration, determined via the Pierce BCA Protein Assay kit (23225, Thermo Fisher Scientific), and expressed as relative light units (RLU) per minute per mg protein.
Circulating AT1-AA Level Determination
As previously described (45, 46), serum IgGs were isolated with affinity chromatography, and AT1-AA activity was analyzed using isolated neonatal cardiomyocytes. Chronotropic responses in response to angiotensin II type 1 receptor-mediated stimulation were measured. Data are expressed as changes in beats per minute (ΔBPM).
Statistical Analysis
Data were analyzed using a two-way ANOVA followed by Tukey’s multiple comparison test if a significant interaction was detected and presented as means ± SD. Statistical analyses were performed in GraphPad Prism 10 (GraphPad Software). For the two-way ANOVA analyses, row factors were defined as NP and RUPP, and column factors were defined as vehicle treatment and IL-33 treatment. Data were evaluated for normality using the Shapiro–Wilk test and for outliers using the ROUT method. A P value < 0.05 was considered statistically significant.
RESULTS
Circulating IL-33 is Increased by IL-33 Supplementation
Plasma IL-33 was 11.8 ± 6.2 pg/mL in NP and 5.0 ± 3.2 pg/mL in RUPP (n.s.). IL-33 supplementation significantly increased circulating IL-33 levels to 26.1 ± 18.9 pg/mL in treated RUPP rats (P = 0.0201 vs. RUPP, Fig. 1A). RUPP rats had elevated circulating sST2 levels at 1,134.8 ± 170.3 pg/mL compared to NP rats at 327.1 ± 71.1 pg/mL (P < 0.0001, Fig. 1B). Plasma IL-33:sST2 ratio was 0.035 ± 0.014 in NP, 0.004 ± 0.002 in RUPP, and 0.021 ± 0.011 in RUPP + IL-33, demonstrating a more than fivefold increase in IL-33:ST2 ratio in treated RUPPs. However, these observed differences were not statistically significant (Fig. 1C). Placental IL-33 was more than twofold higher in NP versus RUPP rats (203.1 ± 165 pg/mg vs. 84.7 ± 34 pg/mg) though this was not statistically significant. Placental IL-33 in RUPP rats after IL-33 supplementation was 191.8 ± 60.1 pg/mg (n.s vs. RUPP) (Fig. 1D). Similarly, IL-33 supplementation also did not significantly alter placenta IL-33, placenta ST2 (Fig. 1E), placenta IL-33:ST2 ratio (Fig. 1F), or renal ST2 levels (Supplemental Fig. S9).
Figure 1.
Circulating IL-33 is increased by IL-33 supplementation. Circulating (A) and placental IL-33 (D) as quantified through a rat IL-33 ELISA kit. Circulating sST2 (B) and placental ST2 levels (E) as quantified through a rat ST2 ELISA kit. C: the ratio of plasma IL-33 to plasma sST2. F: the ratio of placental IL-33 to placental ST2. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on circulating and placental IL-33 and ST2 levels as well as their respective ratios. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on circulating sST2 levels and showed IL-33 supplementation did have a statistically significant effect on circulating IL-33 levels. Simple main effects analysis also showed that surgery type and IL-33 supplementation did not have a statistically significant effect on placental IL33 and ST2 levels. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 7–8 animals. ANOVA, analysis of variance; IL-33, interleukin-33; NP, normal pregnant; RUPP, reduced uterine perfusion pressure; sST2, soluble interleukin 1 receptor-like 1; ST2, interleukin 1 receptor-like 1.
Maternal Blood Pressure and Uterine Vascular Function Improve with IL-33 Supplementation
RUPP rats had higher maternal MAP at 129 ± 8 mmHg compared with NP rats at 102 ± 4 mmHg (P < 0.0001, Fig. 2A). With IL-33 supplementation, treated RUPP MAPs improved to 110 ± 11 mmHg (P = 0.004 vs. RUPP). In addition to maternal MAP, we also assessed uterine vascular function by measuring UARI. RUPP rats had higher UARI compared with NP rats (0.71 ± 0.03 compared with 0.54 ± 0.04, P = 0.0002; Fig. 2B). IL-33 supplementation in RUPPs reduced UARI to 0.57 ± 0.05 (P = 0.0024 vs. RUPP).
Figure 2.
IL-33 supplementation improves maternal hypertension and uterine vascular function in response to placental ischemia. A: maternal MAP as measured through direct carotid catheterization. B: UARI as measured through Doppler sonography. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on maternal MAP and UARI. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on maternal MAP and UARI. Simple main effects analysis also showed that IL-33 supplementation did have a statistically significant effect on MAP and UARI in RUPP animals. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 6–8 animals. ANOVA, analysis of variance; IL-33, interleukin-33; MAP, mean arterial pressure; NP, normal pregnant; RUPP, reduced uterine perfusion pressure; UARI, uterine artery resistance index.
IL-33 Supplementation Decreases Fetal Growth Restriction
Fetal growth is restricted in untreated RUPP versus NP rats (1.45 ± 0.34 g vs. 2.07 ± 0.41 g, P = 0.0366, Fig. 3A), and fetal growth in IL-33-supplemented RUPP rats was improved to 2.14 ± 0.31 g (P = 0.0175). Placental weight is decreased in addition to an increase in fetal reabsorption rate in RUPP versus NP rats, with a placental weight of 0.40 ± 0.05 g in RUPP compared with 0.51 ± 0.08 g in NP rats (P = 0.0144, Fig. 3B) and a fetal reabsorption rate of 48.6 ± 28.6% compared with 1.6 ± 3.0% in NP rats (P = 0.003, Fig. 3C). IL-33 supplementation did not have significantly improve either of these measures in treated RUPP rats. Placental efficiency was similar across all groups in the study.
Figure 3.
Fetal growth restriction is reduced after IL-33 supplementation in placental ischemic rats. A: fetal weight expressed as average pup weight in each litter. B: placental weight expressed as average placental weight in each litter. C: fetal reabsorption calculated as number of reabsorbed fetuses divided by total litter size. D: placental efficiency calculated as average fetal weight divided by average placental weight. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on fetal weight, placental weight, fetal reabsorption, and placental efficiency. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on fetal weight and fetal reabsorption. Simple main effects analysis also showed that IL-33 supplementation did have a statistically significant effect on fetal weight in RUPP animals. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 7–8 litters. ANOVA, analysis of variance; IL-33, interleukin-33; NP, normal pregnant; RUPP, reduced uterine perfusion pressure.
Inflammation and Oxidative Stress Are Reduced in IL-33-Supplemented Rats
RUPP rats had higher populations of activated cNKs and TH17s in the circulation and placenta compared to NP rats, and IL-33 supplementation decreased these populations in both tissue types. In the circulation, cNK populations were 2.90 ± 1.29% in RUPP compared with 0.91 ± 0.54% in NP (P = 0.0066, Table 1), and IL-33 supplementation decreased RUPP cNK populations to 1.06 ± 1.62% (P = 0.0132). In the placenta, cNK populations were 2.59 ± 0.68% in RUPP compared with 1.34 ± 0.68% in NP (P = 0.0071, Table 1), and IL-33 supplementation decreased RUPP cNK populations to 0.29 ± 0.38% (P < 0.0001). There were no significant differences in renal cNK populations (Table 1). In addition to quantifying cNK population changes, we also examined placental NK cell cytotoxicity in our groups. We observed a fourfold increase in cytotoxic activity of RUPP placental NK cells when compared with cytotoxic activity of NP NK cells (P = 0.0300, Fig. 4). IL-33 supplementation attenuated the RUPP-induced increase in cytotoxicity of placental NK cells (P = 0.0051).
Table 1.
cNK activation in circulation and the placenta reduced after IL-33 supplementation
| Treatment Group |
||||
|---|---|---|---|---|
| NP | NP+IL-33 | RUPP | RUPP+IL-33 | |
| n | 8 | 7 | 8 | 8 |
| cNKs | ||||
| Circulation | 0.908 ± 0.543 | 0.337 ± 0.370 | 2.889 ± 1.288* | 1.064 ± 1.615# |
| Circulation | 0.908 ± 0.543 | 0.337 ± 0.370 | 2.889 ± 1.288* | 1.064 ± 1.615# |
| Placenta | 1.338 ± 0.680 | 0.760 ± 0.979 | 2.585 ± 0.678* | 0.293 ± 0.378# |
| Kidney | 0.549 ± 0.454 | 0.411 ± 0.440 | 0.639 ± 0.673 | 0.155 ± 0.330 |
| TH17s | ||||
| Circulation | 1.010 ± 1.755 | 1.876 ± 1.291 | 7.183 ± 1.410* | 0.754 ± 1.067# |
| Placenta | 3.140 ± 2.620 | 1.996 ± 1.615 | 8.810 ± 4.265* | 2.253 ± 2.405# |
| Kidney | 2.925 ± 3.073 | 1.846 ± 1.317 | 3.830 ± 0.928 | 0.708 ± 0.637# |
Values are means ± SD. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP. TH17 populations in the circulation, placenta, and kidney also reduced after IL-33 supplementation. cNKs, cytolytic Natural Killer cells; IL-33, interleukin-33; NP, normal pregnant; RUPP, reduced uterine perfusion pressure; TH17s, T-helper 17 cells.
Figure 4.
IL-33 supplementation reduces NK cell cytotoxic activity in placental ischemic rats. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on NK cell cytotoxic activity. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on NK cell cytotoxic activity. Simple main effects analysis also showed that IL-33 supplementation did have a statistically significant effect on NK cell cytotoxic activity in RUPP animals. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 3 animals. ANOVA, analysis of variance; IL-33, interleukin-33; NP, normal pregnant; RUPP, reduced uterine perfusion pressure.
In the circulation, TH17 populations were 7.18 ± 1.41% in RUPP compared with 1.01 ± 1.76% in NP (P < 0.001, Table 1), and IL-33 supplementation decreased RUPP TH17 populations to 0.75 ± 1.07% (P < 0.001). In the placenta, TH17 populations were 8.81 ± 4.27% in RUPP compared with 3.14 ± 2.62% in NP (P = 0.0033, Table 1), and IL-33 supplementation decreased RUPP TH17 populations to 2.25 ± 2.41% (P = 0.0007). Renal TH17 populations were similar when comparing RUPP versus NP rats. However, renal TH17 populations were decreased in RUPP + IL-33 compared with RUPP (0.71 ± 0.64% vs. 3.83 ± 0.93%, P = 0.0081, Table 1).
Placental oxidative stress as measured by quantification of superoxide showed higher oxidative stress in RUPP compared with NP (797.9 ± 218.3 RLU/min/mg protein vs. 357.8 ± 187.1 RLU/min/mg protein, P = 0.0195) though no differences were seen in IL-33-supplemented groups (Fig. 5A). In the kidney, RUPP rats had higher oxidative stress compared with NP (674.6 ± 133.5 RLU/min/mg protein vs. 452.0 ± 74.9 RLU/min/mg protein, P = 0.0067, Fig. 5B). IL-33 supplementation reduced renal ROS in both NP and RUPP rats with 217.8 ± 51.1 RLU/min/mg protein in NP + IL-33 (P = 0.0043) and 257.9 ± 123.8 RLU/min/mg protein in RUPP + IL-33 (P < 0.001).
Figure 5.
IL-33 supplementation significantly reduces renal oxidative stress in placental ischemic rats. Placental ROS (A) and renal ROS (B) were measured via the lucigenin assay. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on placental and renal ROS. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on placental and renal ROS. Simple main effects analysis also showed that IL-33 supplementation did have a statistically significant effect on renal ROS in NP and RUPP animals. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 7 animals. ANOVA, analysis of variance; IL-33, interleukin-33; NP, normal pregnant; ROS, reactive oxygen species; RUPP, reduced uterine perfusion pressure.
We also measured placental levels of the chemokines macrophage inflammatory protein-3 (MIP-3a) and CXC motif chemokine ligand 1 (CXCL1). MIP-3a, a chemoattractant for lymphocytes, showed a trending decrease in RUPP + IL-33 compared with RUPP (79.1 ± 13.2 pg/mg protein compared with 112.2 ± 37.4 pg/mg protein, P = 0.0627, Supplemental Fig. S1A). CXCL1, a chemoattractant for neutrophils, decreased in IL-33-supplemented RUPP rats compared with RUPP rats (2,263 ± 1,528.3 pg/mg protein compared with 4,148.9 ± 1,112.8 pg/mg protein, P = 0.0293, Supplemental Fig. S1B).
IL-33 Supplementation Decreases the Expression of Preproendothelin-1 mRNA and Angiotensin II Type 1 Receptor Agonistic Autoantibody
In the search for other mediators behind the improvements observed in maternal blood pressure and uterine artery resistance, we examined several different factors: VEGF, NO bioavailability, Ser-1177 phosphorylated endothelial nitric oxide synthase (p-eNOS), endothelial nitric oxide synthase (eNOS), preproendothelin-1 (PPET-1) mRNA expression, and angiotensin II type 1 receptor agonistic autoantibody (AT1-AA) levels. Placental VEGF levels (Supplemental Fig. S2A) and circulating nitric oxide (NO) bioavailability (Supplemental Fig. S2B) showed no significant differences with IL-33 supplementation in RUPP rats, though there was a decrease in placental VEGF with IL-33 supplementation in NPs. There were no differences in placenta (Supplemental Fig. S2C) or kidney (Supplemental Fig. S2D) nitrate nitrite levels after IL-33 supplementation in either group. Concurrent with the placental nitrate nitrite results, there were no significant differences in placental p-eNOS or eNOS protein expression as determined by Western blot (Supplemental Fig. S8). There were, however, observed differences in AT1-AA activity and PPET-1 levels. AT1-AA activity was −0.8 ± 3.0 beats per minute (BPM) in NP with an increase to 11.9 ± 5.5 BPM in RUPPs (P = 0.009). IL-33 supplementation in RUPP rats reduced AT1-AA activity to 3.8 ± 8.1 BPM (P = 0.0456, Fig. 6A). PPET-1 levels were 2.4 ± 1.1 folds higher in RUPPs compared with NPs (P = 0.0104), with a trending reduction to 1.2 ± 0.5-fold higher in IL-33-supplemented RUPPs (P = 0.0519, Fig. 6B).
Figure 6.
AT1-AA levels are significantly reduced in IL-33-supplemented placental ischemic rats. PPET-1 levels trended toward a reduction after IL-33 supplementation in placental ischemic rats. A: circulating AT1-AA levels as measured through the cardiomyocyte bioassay. B: PPET-1 levels as measured by RT-PCR. Data are presented as means (SD). A two-way ANOVA was performed to analyze the effect of surgery type and IL-33 supplementation on AT1-AA and PPET-1 levels. A two-way ANOVA revealed that there was a statistically significant interaction between the effects of surgery type and IL-33 supplementation. Simple main effects analysis showed that surgery type did have a statistically significant effect on AT1-AA and PPET-1 levels. Simple main effects analysis also showed that IL-33 supplementation did have a statistically significant effect on AT1-AA in RUPP animals. *P < 0.05 vs. NP, #P < 0.05 vs. RUPP, n = 6–7 animals. ANOVA, analysis of variance; AT1-AA, angiotensin II type 1 receptor agonistic autoantibody; IL-33, interleukin-33; NP, normal pregnant; PPER-1, preproendothelin-1; RT-PCR, real-time polymerase chain reaction; RUPP, reduced uterine perfusion pressure.
DISCUSSION
Excess IL-33 signaling has long been considered an alarmin, and many studies have focused on its pathological role in driving allergic diseases and inflammatory bowel diseases, which are characterized as T-helper type 2 (TH2 type) immune diseases (47–50). However, we argue that sufficient IL-33 signaling is protective during pregnancy-related conditions, specifically in PE, as the importance of TH2 dominance over TH1 populations has been extensively noted in normal pregnancy and there is a predominance of TH1 over TH2 populations in PE (51–53). Sufficient regulatory T (TReg) and TH2 cell populations are also needed for maternal–fetal tolerance and are believed to promote this tolerance through their immunosuppressive properties (54). Deficiencies in IL-33 signaling have been observed in clinical PE studies and in our previous study in RUPP rats (28, 37). Moreover, the importance of sufficient IL-33 signaling during early pregnancy was previously demonstrated in mice (55). Studies in preterm labor and in fetal growth restriction (FGR) associated with lipopolysaccharide (LPS) exposure have also shown protective roles for IL-33 during pregnancy (56, 57). A recent study from Ferreira et al. reported a reduction in the IL-33:ST2 ratio postpartum, with implications for postpartum hypertrophy risk (58). There have also been studies showing a protective role for IL-33 in various cardiovascular conditions. IL-33 has been shown to be beneficial in protecting cardiomyocytes from apoptosis during ischemic reperfusion injury and infarction (41). It has also been shown to have anti-atherosclerotic effects, reduce cardiac hypertrophy, and increase survival after aortic constriction (59). In hypertension studies, IL-33 has been shown to normalize blood pressure in obese rats, and increased sST2 levels have been associated with increased blood pressure (60–62). Based on the aforementioned data, we investigated the role of IL-33 signaling in PE pathophysiology.
In our study, circulating IL-33 was increased after IL-33 supplementation in RUPP rats. However, although total placental IL-33 and the placental IL-33:ST2 ratio more than doubled after IL-33 treatment in RUPP rats, the changes were not statistically significant. Nevertheless, we observed that IL-33 supplementation attenuated maternal HTN and improved uterine artery resistance in treated RUPP rats. The improved uterine artery resistance in IL-33-supplemented RUPP rats may reflect beneficial changes in peripheral hemodynamics as previous studies have observed mirroring between uterine artery resistance and other cardiovascular parameters such as cardiac output and systemic vascular resistance (63, 64).
Though previous studies have indicated there may be a role for IL-33 in promoting angiogenesis and vascular permeability through endothelial nitric oxide production (65, 66), we did not see any changes in eNOS or nitrate nitrite levels in our animals. This indicates to us that IL-33 is not affecting peripheral hemodynamics via the eNOS/NO pathway. Rather, our data suggest that these changes may be due to the observed decreases in inflammation, renal ROS, PPET-1 levels, and AT1-AA activity. In our IL-33-supplemented RUPP rats, we see significant reduction in circulating and placental levels of cNK and TH17 cells. IL-33 signaling has been inversely linked to the activation of these cell populations in other diseases (67, 68). Studies from our laboratory and others have associated increased cNK and TH17 populations with increased oxidative stress and increased AT1-AA production during pregnancy, which cause vasoconstriction and increases in blood pressure (14, 15, 69). Amor et al. established that IL-33 signaling promotes tumor development in squamous cell carcinoma by decreasing NK cell cytotoxicity (70), which corresponds with our observation of decreased placental NK cell cytotoxicity in RUPP + IL-33 rats. We also believe that the reduction in renal ROS observed with IL-33 supplementation in RUPP rats is largely attributable to the reduction in renal TH17s in that group, similar to what has been reported in classical hypertension (71, 72), to further drive decreases in maternal HTN. The trending decreases in PPET-1 levels in IL-33-supplemented RUPP rats are indicative of a likely decrease in endothelin-1 (ET-1) levels. Research from our laboratory and others has previously linked ET-1 as a mediator for maternal HTN in PE (73, 74).
The changes we report in placental MIP-3a and CXCL1 levels may also be driven by the changes in TH17 populations and may be linked to further immunological changes that were not characterized in this study. MIP-3a is a strong chemoattractant for lymphocytes including immature dendritic cells and CD4+ T-cells (including TH17s) (75). Thus, it is possible that the subtle changes in MIP-3a are a driving factor in the decreased placental TH17s in RUPP + IL-33 rats. CXCL1, a strong chemoattractant for neutrophils (76), is stabilized by interleukin-17 (IL-17) (77), which is the main cytokine produced by TH17s. Neutrophil infiltration has been linked to vascular inflammation in PE, and neutrophil populations are increased in patients with severe PE (78, 79). The observed reduction in PPET-1 levels may also help drive changes in CXCL1 as ET-1 induces neutrophil recruitment through CXCL1 signaling (80). Furthermore, we speculate that there are likely changes in neutrophil populations in response to IL-33 supplementation due to a study from Frisbee et al. showing an IL-33-mediated reduction in neutrophil and monocyte populations to drive a TH2 type protection during Clostridium difficile infection (81). We believe an exploration into IL-33-mediated effects on neutrophil (and other innate cell) populations would be an interesting avenue of further study. There are also potential effects from the changes in MIP-3a and CXCL1 levels that may be driving changes in NK cell cytotoxicity in the study as well. A previous study from Al-Aoukaty et al. demonstrated that MIP-3a induces NK cell chemotaxis, and Yu et al. demonstrated that CXCL1 inhibition suppressed NK cell recruitment in the context of diffuse large B cell lymphoma (82, 83).
Several studies have defined a role for IL-33 signaling in promoting expansion of TReg populations. In lean mice, the visceral adipose tissue TReg population is expanded by IL-33 (84). In allergen-induced inflammation, TReg cells respond to IL-33 to suppress γδ T-cells resulting in reduced inflammation (85). A recent study from Mok et al. demonstrated the immunoregulatory roles of IL-33 on alternatively activated macrophage and TReg populations (86). In cancer and intestinal inflammation studies, the promotion of TReg populations by IL-33 has been linked to a dependence on amphiregulin (AREG) expression (87–89). Arpaia et al. reported that IL-33 stimulates TReg expansion and TReg production of AREG to promote an AREG-dependent tissue repair functionality (90). Furthermore, decreased AREG production from macrophages has been reported in clinical PE samples (91, 92), providing another potential pathway for IL-33 signaling to promote immunological tolerance in PE. However, explorations into this are beyond the scope of the current study and should be conducted in the future.
In this study, we establish that IL-33 supplementation reduces PE-associated pathophysiological characteristics such as maternal HTN, increased uterine artery resistance, and inflammation in an animal model of placental ischemia. We believe that the IL-33 signaling pathway could be a viable option for pharmaceutical targeting for the treatment of PE.
DATA AVAILABILITY
Data from this study is readily available from the authors upon reasonable request.
SUPPLEMENTAL DATA
Supplemental Figs. S1–S9: https://doi.org/10.6084/m9.figshare.25029776.v2.
GRANTS
This work was supported by National Institutes of Health Grants F31-HL-165851 (to X. Wang), T32-HL-105324 (to C. Shields), R01-DK-109133 (to J. M. Williams), P20-GM-121334 and R01-HL-151407 (to D. C. Cornelius).
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the authors.
AUTHOR CONTRIBUTIONS
D.C.C. conceived and designed research; X.W., C.S., G.T., G.P., E.H., M.A., J.M.W., and D.C.C. performed experiments; X.W., C.S., G.T., G.P., E.H., M.A., J.M.W., and D.C.C. analyzed data; X.W., C.S., G.T., G.P., E.H., M.A., J.M.W., and D.C.C. interpreted results of experiments; X.W. and D.C.C. prepared figures; X.W. drafted manuscript; X.W. and D.C.C. edited and revised manuscript; X.W., C.S., G.T., G.P., E.H., M.A., J.M.W., and D.C.C. approved final version of manuscript.
REFERENCES
- 1. Phipps EA, Thadhani R, Benzing T, Karumanchi SA. Pre-eclampsia: pathogenesis, novel diagnostics and therapies. Nat Rev Nephrol 15: 275–289, 2019. [Erratum in Nat Rev Nephrol 15: 386, 2019]. doi: 10.1038/s41581-019-0119-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Collier AY, Molina RL. Maternal mortality in the United States: updates on trends, causes, and solutions. Neoreviews 20: e561–e574, 2019. doi: 10.1542/neo.20-10-e561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Mosca L, Benjamin EJ, Berra K, Bezanson JL, Dolor RJ, Lloyd-Jones DM, , et al. Effectiveness-based guidelines for the prevention of cardiovascular disease in women–2011 update: a guideline from the American Heart Association. Circulation 123: 1243–1262, 2011. [Erratum in Circulation 123: e624, 2011]. doi: 10.1161/CIR.0b013e31820faaf8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Goel A, Maski MR, Bajracharya S, Wenger JB, Zhang D, Salahuddin S, Shahul SS, Thadhani R, Seely EW, Karumanchi SA, Rana S. Epidemiology and mechanisms of de novo and persistent hypertension in the postpartum period. Circulation 132: 1726–1733, 2015. doi: 10.1161/CIRCULATIONAHA.115.015721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Hladunewich M, Karumanchi SA, Lafayette R. Pathophysiology of the clinical manifestations of preeclampsia. Clin J Am Soc Nephrol 2: 543–549, 2007. doi: 10.2215/CJN.03761106. [DOI] [PubMed] [Google Scholar]
- 6. Uzan J, Carbonnel M, Piconne O, Asmar R, Ayoubi JM. Pre-eclampsia: pathophysiology, diagnosis, and management. Vasc Health Risk Manag 7: 467–474, 2011. doi: 10.2147/VHRM.S20181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Conrad KP, Benyo DF. Placental cytokines and the pathogenesis of preeclampsia. Am J Reprod Immunol 37: 240–249, 1997. doi: 10.1111/j.1600-0897.1997.tb00222.x. [DOI] [PubMed] [Google Scholar]
- 8. Chaiworapongsa T, Chaemsaithong P, Yeo L, Romero R. Pre-eclampsia part 1: current understanding of its pathophysiology. Nat Rev Nephrol 10: 466–480, 2014. doi: 10.1038/nrneph.2014.102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Armaly Z, Jadaon JE, Jabbour A, Abassi ZA. Preeclampsia: novel mechanisms and potential therapeutic approaches. Front Physiol 9: 973, 2018. doi: 10.3389/fphys.2018.00973. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Staff AC. The two-stage placental model of preeclampsia: an update. J Reprod Immunol 134-135: 1–10, 2019. doi: 10.1016/j.jri.2019.07.004. [DOI] [PubMed] [Google Scholar]
- 11. Aggarwal R, Jain AK, Mittal P, Kohli M, Jawanjal P, Rath G. Association of pro- and anti-inflammatory cytokines in preeclampsia. J Clin Lab Anal 33: e22834, 2019. doi: 10.1002/jcla.22834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Phoswa WN, Khaliq OP. The role of oxidative stress in hypertensive disorders of pregnancy (preeclampsia, gestational hypertension) and metabolic disorder of pregnancy (gestational diabetes mellitus). Oxid Med Cell Longev 2021: 5581570, 2021. doi: 10.1155/2021/5581570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Aneman I, Pienaar D, Suvakov S, Simic TP, Garovic VD, McClements L. Mechanisms of key innate immune cells in early- and late-onset preeclampsia. Front Immunol 11: 1864, 2020. doi: 10.3389/fimmu.2020.01864. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cornelius DC, Cottrell J, Amaral LM, LaMarca B. Inflammatory mediators: a causal link to hypertension during preeclampsia. Br J Pharmacol 176: 1914–1921, 2019. doi: 10.1111/bph.14466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. LaMarca B. The role of immune activation in contributing to vascular dysfunction and the pathophysiology of hypertension during preeclampsia. Minerva Ginecol 62: 105–120, 2010. [PMC free article] [PubMed] [Google Scholar]
- 16. Shields CA, McCalmon M, Ibrahim T, White DL, Williams JM, LaMarca B, Cornelius DC. Placental ischemia-stimulated T-helper 17 cells induce preeclampsia-associated cytolytic natural killer cells during pregnancy. Am J Physiol Regul Integr Comp Physiol 315: R336–R343, 2018. doi: 10.1152/ajpregu.00061.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Li J, LaMarca B, Reckelhoff JF. A model of preeclampsia in rats: the reduced uterine perfusion pressure (RUPP) model. Am J Physiol Heart Circ Physiol 303: H1–H8, 2012. doi: 10.1152/ajpheart.00117.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Amaral LM, Faulkner JL, Elfarra J, Cornelius DC, Cunningham MW, Ibrahim T, Vaka VR, McKenzie J, LaMarca B. Continued investigation into 17-OHPC: results from the preclinical RUPP rat model of preeclampsia. Hypertension 70: 1250–1255, 2017. doi: 10.1161/HYPERTENSIONAHA.117.09969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Alexander BT, Kassab SE, Miller MT, Abram SR, Reckelhoff JF, Bennett WA, Granger JP. Reduced uterine perfusion pressure during pregnancy in the rat is associated with increases in arterial pressure and changes in renal nitric oxide. Hypertension 37: 1191–1195, 2001. doi: 10.1161/01.hyp.37.4.1191. [DOI] [PubMed] [Google Scholar]
- 20. LaMarca B, Wallukat G, Llinas M, Herse F, Dechend R, Granger JP. Autoantibodies to the angiotensin type I receptor in response to placental ischemia and tumor necrosis factor α in pregnant rats. Hypertension 52: 1168–1172, 2008. doi: 10.1161/HYPERTENSIONAHA.108.120576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Sedeek M, Gilbert JS, LaMarca BB, Sholook M, Chandler DL, Wang Y, Granger JP. Role of reactive oxygen species in hypertension produced by reduced uterine perfusion in pregnant rats. Am J Hypertens 21: 1152–1156, 2008. doi: 10.1038/ajh.2008.239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Sholook MM, Gilbert JS, Sedeek MH, Huang M, Hester RL, Granger JP. Systemic hemodynamic and regional blood flow changes in response to chronic reductions in uterine perfusion pressure in pregnant rats. Am J Physiol Heart Circ Physiol 293: H2080–H2084, 2007. doi: 10.1152/ajpheart.00667.2007. [DOI] [PubMed] [Google Scholar]
- 23. De Miguel C, Pelegrin P, Baroja-Mazo A, Cuevas S. Emerging role of the inflammasome and pyroptosis in hypertension. Int J Mol Sci 22: 1064, 2021. doi: 10.3390/ijms22031064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Liu Y, Yin HL, Li C, Jiang F, Zhang SJ, Zhang XR, Li YL. Sinapine thiocyanate ameliorates vascular endothelial dysfunction in hypertension by inhibiting activation of the NLRP3 inflammasome. Front Pharmacol 11: 620159, 2020. doi: 10.3389/fphar.2020.620159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Gao P, Zha Y, Gong X, Qiao F, Liu H. The role of maternal-foetal interface inflammation mediated by NLRP3 inflammasome in the pathogenesis of recurrent spontaneous abortion. Placenta 101: 221–229, 2020. doi: 10.1016/j.placenta.2020.09.067. [DOI] [PubMed] [Google Scholar]
- 26. Lu M, Ma F, Xiao J, Yang L, Li N, Chen D. NLRP3 inflammasome as the potential target mechanism and therapy in recurrent spontaneous abortions. Mol Med Rep 19: 1935–1941, 2019. doi: 10.3892/mmr.2019.9829. [DOI] [PubMed] [Google Scholar]
- 27. Zhu D, Zou H, Liu J, Wang J, Ma C, Yin J, Peng X, Li D, Yang Y, Ren Y, Zhang Z, Zhou P, Wang X, Cao Y, Xu X. Inhibition of HMGB1 ameliorates the maternal-fetal interface destruction in unexplained recurrent spontaneous abortion by suppressing pyroptosis activation. Front Immunol 12: 782792, 2021. doi: 10.3389/fimmu.2021.782792. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Wang X, Travis OK, Shields CA, Tardo GA, Giachelli C, Nutter CW, Glenn HL, Cooper OG, Davis T, Thomas R, Williams JM, Cornelius DC. NLRP3 inhibition improves maternal hypertension, inflammation, and vascular dysfunction in response to placental ischemia. Am J Physiol Regul Integr Comp Physiol 324: R556–R567, 2023. doi: 10.1152/ajpregu.00192.2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Madouri F, Guillou N, Fauconnier L, Marchiol T, Rouxel N, Chenuet P, Ledru A, Apetoh L, Ghiringhelli F, Chamaillard M, Zheng SG, Trovero F, Quesniaux VF, Ryffel B, Togbe D. Caspase-1 activation by NLRP3 inflammasome dampens IL-33-dependent house dust mite-induced allergic lung inflammation. J Mol Cell Biol 7: 351–365, 2015. doi: 10.1093/jmcb/mjv012. [DOI] [PubMed] [Google Scholar]
- 30. Strangward P, Haley MJ, Albornoz MG, Barrington J, Shaw T, Dookie R, Zeef L, Baker SM, Winter E, Tzeng TC, Golenbock DT, Cruickshank SM, Allan SM, Craig A, Liew FY, Brough D, Couper KN. Targeting the IL33-NLRP3 axis improves therapy for experimental cerebral malaria. Proc Natl Acad Sci USA 115: 7404–7409, 2018. doi: 10.1073/pnas.1801737115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Afferni C, Buccione C, Andreone S, Galdiero MR, Varricchi G, Marone G, Mattei F, Schiavoni G. The pleiotropic immunomodulatory functions of IL-33 and its implications in tumor immunity. Front Immunol 9: 2601, 2018. doi: 10.3389/fimmu.2018.02601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Chen Z, Hu Y, Gong Y, Zhang X, Cui L, Chen R, Yu Y, Yu Q, Chen Y, Diao H, Chen J, Wang Y, Shi Y. Interleukin-33 alleviates psoriatic inflammation by suppressing the T helper type 17 immune response. Immunology 160: 382–392, 2020. doi: 10.1111/imm.13203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Mehraj V, Ponte R, Routy JP. The dynamic role of the IL-33/ST2 axis in chronic viral-infections: alarming and adjuvanting the immune response. EBioMedicine 9: 37–44, 2016. doi: 10.1016/j.ebiom.2016.06.047. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Xu H, Turnquist HR, Hoffman R, Billiar TR. Role of the IL-33-ST2 axis in sepsis. Mil Med Res 4: 3, 2017. doi: 10.1186/s40779-017-0115-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Weinberg EO, Shimpo M, De Keulenaer GW, MacGillivray C, Tominaga S, Solomon SD, Rouleau JL, Lee RT. Expression and regulation of ST2, an interleukin-1 receptor family member, in cardiomyocytes and myocardial infarction. Circulation 106: 2961–2966, 2002. doi: 10.1161/01.cir.0000038705.69871.d9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Chen H, Zhou XB, Han TL, Baker PN, Qi HB, Zhang H. Decreased IL-33 production contributes to trophoblast cell dysfunction in pregnancies with preeclampsia. Mediat Inflamm 2018: 1–11, 2018., doi: 10.1155/2018/9787239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Granne I, Southcombe JH, Snider JV, Tannetta DS, Child T, Redman CW, Sargent IL. ST2 and IL-33 in pregnancy and pre-eclampsia. PLoS One 6: e24463, 2011. doi: 10.1371/journal.pone.0024463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Travis OK, White D, Baik C, Giachelli C, Thompson W, Stubbs C, Greer M, Lemon JP, Williams JM, Cornelius DC. Interleukin-17 signaling mediates cytolytic natural killer cell activation in response to placental ischemia. Am J Physiol Regul Integr Comp Physiol 318: R1036–R1046, 2020. doi: 10.1152/ajpregu.00285.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Travis OK, White D, Pierce WA, Ge Y, Stubbs CY, Spradley FT, Williams JM, Cornelius DC. Chronic infusion of interleukin-17 promotes hypertension, activation of cytolytic natural killer cells, and vascular dysfunction in pregnant rats. Physiol Rep 7: e14038, 2019. doi: 10.14814/phy2.14038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Chen Z, Xu N, Dai X, Zhao C, Wu X, Shankar S, Huang H, Wang Z. Interleukin-33 reduces neuronal damage and white matter injury via selective microglia M2 polarization after intracerebral hemorrhage in rats. Brain Res Bull 150: 127–135, 2019. doi: 10.1016/j.brainresbull.2019.05.016. [DOI] [PubMed] [Google Scholar]
- 41. Seki K, Sanada S, Kudinova AY, Steinhauser ML, Handa V, Gannon J, Lee RT. Interleukin-33 prevents apoptosis and improves survival after experimental myocardial infarction through ST2 signaling. Circ Heart Fail 2: 684–691, 2009. doi: 10.1161/CIRCHEARTFAILURE.109.873240. [DOI] [PubMed] [Google Scholar]
- 42. LaMarca BB, Bennett WA, Alexander BT, Cockrell K, Granger JP. Hypertension produced by reductions in uterine perfusion in the pregnant rat: role of tumor necrosis factor-α. Hypertension 46: 1022–1025, 2005. doi: 10.1161/01.HYP.0000175476.26719.36. [DOI] [PubMed] [Google Scholar]
- 43. Poudel B, Shields CA, Brown AK, Ekperikpe U, Johnson T, Cornelius DC, Williams JM. Depletion of macrophages slows the early progression of renal injury in obese Dahl salt-sensitive leptin receptor mutant rats. Am J Physiol Renal Physiol 318: F1489–F1499, 2020. doi: 10.1152/ajprenal.00100.2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Baik CH, Geer M, Travis OK, Cornelius DC. A plate-based cytotoxicity assay for the assessment of rat placental natural killer cell cytolytic function. J Vis Exp 148: e58961, 2019. doi: 10.3791/58961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Herrock O, Deer E, Amaral LM, Campbell N, Whitney D, Ingram N, Cornelius DC, Turner T, Hardy-Hardin J, Booz GW, Ibrahim T, LaMarca B. Inhibiting B cell activating factor attenuates preeclamptic symptoms in placental ischemic rats. Am J Reprod Immunol 89: e13693, 2023. doi: 10.1111/aji.13693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Herrock OT, Deer E, Amaral LM, Campbell N, Lemon J, Ingram N, Cornelius DC, Turner TW, Fitzgerald S, Ibrahim T, Dechend R, Wallukat G, LaMarca B. B2 cells contribute to hypertension and natural killer cell activation possibly via AT1-AA in response to placental ischemia. Am J Physiol Renal Physiol 324: F179–F192, 2023. doi: 10.1152/ajprenal.00190.2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Cayrol C, Girard JP. IL-33: an alarmin cytokine with crucial roles in innate immunity, inflammation and allergy. Curr Opin Immunol 31: 31–37, 2014. doi: 10.1016/j.coi.2014.09.004. [DOI] [PubMed] [Google Scholar]
- 48. Chan BCL, Lam CWK, Tam LS, Wong CK. IL33: roles in allergic inflammation and therapeutic perspectives. Front Immunol 10: 364, 2019. doi: 10.3389/fimmu.2019.00364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Nechama M, Kwon J, Wei S, Kyi AT, Welner RS, Ben-Dov IZ, Arredouani MS, Asara JM, Chen CH, Tsai CY, Nelson KF, Kobayashi KS, Israel E, Zhou XZ, Nicholson LK, Lu KP. The IL-33-PIN1-IRAK-M axis is critical for type 2 immunity in IL-33-induced allergic airway inflammation. Nat Commun 9: 1603, 2018. [Erratum in Nat Commun 14: 3622, 2023]. doi: 10.1038/s41467-018-03886-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Ngo Thi Phuong N, Palmieri V, Adamczyk A, Klopfleisch R, Langhorst J, Hansen W, Westendorf AM, Pastille E. IL-33 drives expansion of type 2 innate lymphoid cells and regulatory t cells and protects mice from severe, acute colitis. Front Immunol 12: 669787, 2021. doi: 10.3389/fimmu.2021.669787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Morelli SS, Mandal M, Goldsmith LT, Kashani BN, Ponzio NM. The maternal immune system during pregnancy and its influence on fetal development. RRB 6: 171–189, 2015. doi: 10.2147/RRB.S80652. [DOI] [Google Scholar]
- 52. Wang WJ, Sung NY, Gilman-Sachs A, Kwak-Kim J. T helper (Th) cell profiles in pregnancy and recurrent pregnancy losses: Th1/Th2/Th9/Th17/Th22/Tfh Cells. Front Immunol 11: 2025, 2020. doi: 10.3389/fimmu.2020.02025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Szukiewicz D. Cytokines in placental physiology and disease. Mediators Inflamm 2012: 640823, 2012. doi: 10.1155/2012/640823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Guerin LR, Prins JR, Robertson SA. Regulatory T-cells and immune tolerance in pregnancy: a new target for infertility treatment? Hum Reprod Update 15: 517–535, 2009. doi: 10.1093/humupd/dmp004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Valero-Pacheco N, Tang EK, Massri N, Loia R, Chemerinski A, Wu T, Begum S, El-Naccache DW, Gause WC, Arora R, Douglas NC, Beaulieu AM. Maternal IL-33 critically regulates tissue remodeling and type 2 immune responses in the uterus during early pregnancy in mice. Proc Natl Acad Sci USA 119: e2123267119, 2022. doi: 10.1073/pnas.2123267119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Huang B, Faucette AN, Pawlitz MD, Pei B, Goyert JW, Zhou JZ, El-Hage NG, Deng J, Lin J, Yao F, Dewar RS 3rd, Jassal JS, Sandberg ML, Dai J, Cols M, Shen C, Polin LA, Nichols RA, Jones TB, Bluth MH, Puder KS, Gonik B, Nayak NR, Puscheck E, Wei WZ, Cerutti A, Colonna M, Chen K. Interleukin-33-induced expression of PIBF1 by decidual B cells protects against preterm labor. Nat Med 23: 128–135, 2017. doi: 10.1038/nm.4244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Kozai K, Iqbal K, Moreno-Irusta A, Scott RL, Simon ME, Dhakal P, Fields PE, Soares MJ. Protective role of IL33 signaling in negative pregnancy outcomes associated with lipopolysaccharide exposure. FASEB J 35: e21272, 2021. doi: 10.1096/fj.202001782RR. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Ferreira AF, Azevedo MJ, Morais J, Trindade F, Saraiva F, Diaz SO, Alves IN, Fragão-Marques M, Sousa C, Machado AP, Leite-Moreira A, Sampaio-Maia B, Ramalho C, Barros AS, Falcão-Marques I. Cardiovascular risk factors during pregnancy impact the postpartum cardiac and vascular reverse remodeling. Am J Physiol Heart Circ Physiol 325: H774–H789, 2023. doi: 10.1152/ajpheart.00200.2023. [DOI] [PubMed] [Google Scholar]
- 59. Kakkar R, Lee RT. The IL-33/ST2 pathway: therapeutic target and novel biomarker. Nat Rev Drug Discov 7: 827–840, 2008. doi: 10.1038/nrd2660. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Coglianese EE, Larson MG, Vasan RS, Ho JE, Ghorbani A, McCabe EL, Cheng S, Fradley MG, Kretschman D, Gao W, O'Connor G, Wang TJ, Januzzi JL. Distribution and clinical correlates of the interleukin receptor family member soluble ST2 in the Framingham Heart Study. Clin Chem 58: 1673–1681, 2012. doi: 10.1373/clinchem.2012.192153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Ho JE, Larson MG, Ghorbani A, Cheng S, Vasan RS, Wang TJ, Januzzi JL Jr. Soluble ST2 predicts elevated SBP in the community. J Hypertens 31: 1431–1436; discussion 1436, 2013. doi: 10.1097/HJH.0b013e3283611bdf. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Saxton SN, Whitley AS, Potter RJ, Withers SB, Grencis R, Heagerty AM. Interleukin-33 rescues perivascular adipose tissue anticontractile function in obesity. Am J Physiol Heart Circ Physiol 319: H1387–H1397, 2020. doi: 10.1152/ajpheart.00491.2020. [DOI] [PubMed] [Google Scholar]
- 63. Perry H, Lehmann H, Mantovani E, Thilaganathan B, Khalil A. Correlation between central and uterine hemodynamics in hypertensive disorders of pregnancy. Ultrasound Obstet Gynecol 54: 58–63, 2019. doi: 10.1002/uog.19197. [DOI] [PubMed] [Google Scholar]
- 64. Sharma N, Jayashree K, Nadhamuni K. Maternal history and uterine artery wave form in the prediction of early-onset and late-onset preeclampsia: a cohort study. Int J Reprod Biomed 16: 109–114, 2018. [PMC free article] [PubMed] [Google Scholar]
- 65. Choi YS, Choi HJ, Min JK, Pyun BJ, Maeng YS, Park H, Kim J, Kim YM, Kwon YG. Interleukin-33 induces angiogenesis and vascular permeability through ST2/TRAF6-mediated endothelial nitric oxide production. Blood 114: 3117–3126, 2009. doi: 10.1182/blood-2009-02-203372. [DOI] [PubMed] [Google Scholar]
- 66. Han L, Zhang M, Liang X, Jia X, Jia J, Zhao M, Fan Y. Interleukin-33 promotes inflammation-induced lymphangiogenesis via ST2/TRAF6-mediated Akt/eNOS/NO signalling pathway. Sci Rep 7: 10602, 2017. doi: 10.1038/s41598-017-10894-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Ohayon DE, Ali A, Alarcon PC, Krishnamurthy D, Osterburg AR, Borchers MT, Waggoner SN. Interleukin-33 modulates human natural killer cell responses. J Immunol 200: 164, 2018. doi: 10.4049/jimmunol.200.Supp.164.21. [DOI] [Google Scholar]
- 68. Palmieri V, Ebel JF, Phuong NNT, Klopfleisch R, Vu VP, Adamczyk A, Zöller J, Riedel C, Buer J, Krebs P, Hansen W, Pastille E, Westendorf AM. Interleukin-33 signaling exacerbates experimental infectious colitis by enhancing gut permeability and inhibiting protective Th17 immunity. Mucosal Immunol 14: 923–936, 2021. doi: 10.1038/s41385-021-00386-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Geldenhuys J, Rossouw TM, Lombaard HA, Ehlers MM, Kock MM. Disruption in the regulation of immune responses in the placental subtype of preeclampsia. Front Immunol 9: 1659, 2018. doi: 10.3389/fimmu.2018.01659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Amôr NG, de Oliveira CE, Gasparoto TH, Vilas Boas VG, Perri G, Kaneno R, Lara VS, Garlet GP, da Silva JS, Martins GA, Hogaboam C, Cavassani KA, Campanelli AP. ST2/IL-33 signaling promotes malignant development of experimental squamous cell carcinoma by decreasing NK cells cytotoxicity and modulating the intratumoral cell infiltrate. Oncotarget 9: 30894–30904, 2018. doi: 10.18632/oncotarget.25768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Basile DP, Abais-Battad JM, Mattson DL. Contribution of Th17 cells to tissue injury in hypertension. Curr Opin Nephrol Hypertens 30: 151–158, 2021. doi: 10.1097/MNH.0000000000000680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Madhur MS, Lob HE, McCann LA, Iwakura Y, Blinder Y, Guzik TJ, Harrison DG. Interleukin 17 promotes angiotensin II-induced hypertension and vascular dysfunction. Hypertension 55: 500–507, 2010. doi: 10.1161/HYPERTENSIONAHA.109.145094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. George EM, Granger JP. Endothelin: key mediator of hypertension in preeclampsia. Am J Hypertens 24: 964–969, 2011. doi: 10.1038/ajh.2011.99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. LaMarca BB, Cockrell K, Sullivan E, Bennett W, Granger JP. Role of endothelin in mediating tumor necrosis factor-induced hypertension in pregnant rats. Hypertension 46: 82–86, 2005. doi: 10.1161/01.HYP.0000169152.59854.36. [DOI] [PubMed] [Google Scholar]
- 75. Aziz N, Detels R, Chang LC, Butch AW. Macrophage Inflammatory protein-3 α (MIP-3α)/CCL20 in HIV-1-infected individuals. J AIDS Clin Res 7: 587, 2016. doi: 10.4172/2155-6113.1000587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Sawant KV, Poluri KM, Dutta AK, Sepuru KM, Troshkina A, Garofalo RP, Rajarathnam K. Chemokine CXCL1 mediated neutrophil recruitment: role of glycosaminoglycan interactions. Sci Rep 6: 33123, 2016. doi: 10.1038/srep33123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Datta S, Novotny M, Pavicic PG Jr., Zhao C, Herjan T, Hartupee J, Hamilton T. IL-17 regulates CXCL1 mRNA stability via an AUUUA/tristetraprolin-independent sequence. J Immunol 184: 1484–1491, 2010. doi: 10.4049/jimmunol.0902423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Canzoneri BJ, Lewis DF, Groome L, Wang Y. Increased neutrophil numbers account for leukocytosis in women with preeclampsia. Am J Perinatol 26: 729–732, 2009. doi: 10.1055/s-0029-1223285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Leik CE, Walsh SW. Neutrophils infiltrate resistance-sized vessels of subcutaneous fat in women with preeclampsia. Hypertension 44: 72–77, 2004. doi: 10.1161/01.HYP.0000130483.83154.37. [DOI] [PubMed] [Google Scholar]
- 80. Zarpelon AC, Pinto LG, Cunha TM, Vieira SM, Carregaro V, Souza GR, Silva JS, Ferreira SH, Cunha FQ, Verri WA Jr. Endothelin-1 induces neutrophil recruitment in adaptive inflammation via TNFα and CXCL1/CXCR2 in mice. Can J Physiol Pharmacol 90: 187–199, 2012. doi: 10.1139/y11-116. [DOI] [PubMed] [Google Scholar]
- 81. Frisbee AL, Saleh MM, Young MK, Leslie JL, Simpson ME, Abhyankar MM, Cowardin CA, Ma JZ, Pramoonjago P, Turner SD, Liou AP, Buonomo EL, Petri WA Jr. IL-33 drives group 2 innate lymphoid cell-mediated protection during Clostridium difficile infection. Nat Commun 10: 2712, 2019. doi: 10.1038/s41467-019-10733-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Al-Aoukaty A, Rolstad B, Giaid A, Maghazachi AA. MIP-3α, MIP-3β and fractalkine induce the locomotion and the mobilization of intracellular calcium, and activate the heterotrimeric G proteins in human natural killer cells. Immunology 95: 618–624, 1998. doi: 10.1046/j.1365-2567.1998.00603.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Yu M, Zhang Q, Wan L, Wang S, Zou L, Chen Z, Li F. IL-1R8 expression in DLBCL regulates NK cell recruitment and influences patient prognosis. Funct Integr Genomics 23: 328, 2023. doi: 10.1007/s10142-023-01254-2. [DOI] [PubMed] [Google Scholar]
- 84. Kolodin D, van Panhuys N, Li C, Magnuson AM, Cipolletta D, Miller CM, Wagers A, Germain RN, Benoist C, Mathis D. Antigen- and cytokine-driven accumulation of regulatory T cells in visceral adipose tissue of lean mice. Cell Metab 21: 543–557, 2015. doi: 10.1016/j.cmet.2015.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Faustino LD, Griffith JW, Rahimi RA, Nepal K, Hamilos DL, Cho JL, Medoff BD, Moon JJ, Vignali DAA, Luster AD. Interleukin-33 activates regulatory T cells to suppress innate γδT cell responses in the lung. Nat Immunol 21: 1371–1383, 2020. doi: 10.1038/s41590-020-0785-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Mok MY, Luo CY, Huang FP, Kong WY, Chan GCF. IL-33 orchestrated the interaction and immunoregulatory functions of alternatively activated macrophages and regulatory T cells in vitro. J Immunol 211: 1134–1143, 2023. doi: 10.4049/jimmunol.2300191. [DOI] [PubMed] [Google Scholar]
- 87. Halvorsen EC, Franks SE, Wadsworth BJ, Harbourne BT, Cederberg RA, Steer CA, Martinez-Gonzalez I, Calder J, Lockwood WW, Bennewith KL. IL-33 increases ST2+ Tregs and promotes metastatic tumour growth in the lungs in an amphiregulin-dependent manner. Oncoimmunology 8: e1527497, 2019. doi: 10.1080/2162402X.2018.1527497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Monticelli LA, Osborne LC, Noti M, Tran SV, Zaiss DM, Artis D. IL-33 promotes an innate immune pathway of intestinal tissue protection dependent on amphiregulin-EGFR interactions. Proc Natl Acad Sci USA 112: 10762–10767, 2015. doi: 10.1073/pnas.1509070112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Sun R, Zhao H, Gao DS, Ni A, Li H, Chen L, Lu X, Chen K, Lu B. Amphiregulin couples IL1RL1+ regulatory T cells and cancer-associated fibroblasts to impede antitumor immunity. Sci Adv 9: eadd7399, 2023. doi: 10.1126/sciadv.add7399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Arpaia N, Green JA, Moltedo B, Arvey A, Hemmers S, Yuan S, Treuting PM, Rudensky AY. A distinct function of regulatory T cells in tissue protection. Cell 162: 1078–1089, 2015. doi: 10.1016/j.cell.2015.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Güler Ö, Özer A, Seyithanoğlu M, Yaman FN, Şahpaz Kurşun HN. Serum amphiregulin and cerebellin-1 levels in severe preeclampsia. J Matern Fetal Neonatal Med 34: 2863–2868, 2021. doi: 10.1080/14767058.2019.1671345. [DOI] [PubMed] [Google Scholar]
- 92. Smith C, Fandozzi E, Megli CJ. Preeclampsia leads to placental mediated dysregulation of Amphiregulin in macrophages. Am J Obstet Gynecol 228: S616–S617, 2023. doi: 10.1016/j.ajog.2022.11.1046. [DOI] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental Figs. S1–S9: https://doi.org/10.6084/m9.figshare.25029776.v2.
Data Availability Statement
Data from this study is readily available from the authors upon reasonable request.






