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REVIEW article

Front. Physiol., 06 April 2023
Sec. Clinical and Translational Physiology

Mouse models of preeclampsia with preexisting comorbidities

Christopher A. WakerChristopher A. Waker1Amy E. HwangAmy E. Hwang1Scout Bowman-GibsonScout Bowman-Gibson1Chandni H. Chandiramani,Chandni H. Chandiramani1,2Bryce LinkousBryce Linkous1Madison L. StoneMadison L. Stone1Chanel I. KeoniChanel I. Keoni1Melissa R. KaufmanMelissa R. Kaufman1Thomas L. Brown,
Thomas L. Brown1,2*
  • 1Department of Neuroscience, Cell Biology and Physiology, Boonshoft School of Medicine, Wright State University, Dayton, OH, United States
  • 2Department of Obstetrics and Gynecology, Boonshoft School of Medicine, Wright State University, Dayton, OH, United States

Preeclampsia is a pregnancy-specific condition and a leading cause of maternal and fetal morbidity and mortality. It is thought to occur due to abnormal placental development or dysfunction, because the only known cure is delivery of the placenta. Several clinical risk factors are associated with an increased incidence of preeclampsia including chronic hypertension, diabetes, autoimmune conditions, kidney disease, and obesity. How these comorbidities intersect with preeclamptic etiology, however, is not well understood. This may be due to the limited number of animal models as well as the paucity of studies investigating the impact of these comorbidities. This review examines the current mouse models of chronic hypertension, pregestational diabetes, and obesity that subsequently develop preeclampsia-like symptoms and discusses how closely these models recapitulate the human condition. Finally, we propose an avenue to expand the development of mouse models of preeclampsia superimposed on chronic comorbidities to provide a strong foundation needed for preclinical testing.

Introduction

Preeclampsia is a life-threatening condition that complicates 2%–7% of all pregnancies (Roberts and Lain, 1998; Sibai, 2006; Abalos et al., 2013; Albers et al., 2019; Poon et al., 2019; Chappell et al., 2021; Waker et al., 2021). It is one of the leading causes of maternal and fetal morbidity and mortality (Poon et al., 2019; Chappell et al., 2021). The pathological features of preeclampsia were historically defined as rapid-onset, pregnancy-specific hypertension with accompanying proteinuria and parturitional resolution. Recent reclassification, however, now includes maternal renal, hepatic, pulmonary, or neurological involvement in the absence of proteinuria (Rana et al., 2019; Obstetrics and Gynecology, 2020; Garovic et al., 2022). Abnormal placental development or dysfunction is thought to be the root cause of the condition, as the only known cure is delivery of the placenta (Hladunewich et al., 2007; Roberts and Escudero, 2012; Ilekis et al., 2016; Schneider, 2017).

While preexisting comorbidities are a common occurrence in preeclamptic pregnancies, there is a paucity of information on how they impact the development, progression, or severity of the condition. Clinically, preexisting conditions such as prior preeclampsia, chronic hypertension or kidney disease, pregestational diabetes, and autoimmune disease are associated with a high risk of developing preeclampsia (Figure 1). Why women with certain comorbidities have an increased risk of preeclampsia is unknown and it is unclear if specific treatment plans should be implemented based on a particular comorbidity. Preeclamptic pregnancies associated with comorbidities have a higher rate of caesarian section birth and are delivered earlier than preeclampsia pregnancies that do not have preexisting comorbidities (Tanner et al., 2022). In addition, neonates from preeclamptic pregnancies that have preexisting comorbidities also experience an increase in respiratory distress syndrome, neonatal sepsis, and neonatal intensive care unit admissions (Tanner et al., 2022).

FIGURE 1
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FIGURE 1. Clinical risk factors for the development of preeclampsia (SMFM Patient Safety and Quality Committee et al., 2020; Obstetrics and Gynecology, 2020). Created with BioRender.com.

Recent reports have identified early-onset (<34 weeks) or late-onset (>34 weeks) as distinct subtypes of preeclampsia, based on the gestational time of diagnosis (Raymond and Peterson, 2011; Roberts and Escudero, 2012; Redman et al., 2014; Gathiram and Moodley, 2016; Staff and Redman, 2018; Waker et al., 2021). This raises the possibility that preeclampsia may have distinct subtypes due to the influence of the preexisting comorbid condition. As the prevalence of obesity, chronic hypertension, and diabetes continues to increase worldwide, understanding how these comorbidities increase the risk of developing preeclampsia is paramount to understanding the genesis of the condition and developing effective treatment regimens.

Mouse models are a widely used and well-accepted tool to study preeclampsia because of their extensive genetic characterization and high homology to humans, as well as similar hemochorial blood flow (Maltepe and Fisher, 2015; Soncin et al., 2015; Soares et al., 2018; Hu and Zhang, 2021; Waker et al., 2021). To investigate the effects of preexisting comorbidities on the development of preeclampsia, mouse models have been developed using gene knockout, transgenic overexpression, dietary supplementation, and selective inbreeding. The goal of this review is to provide researchers with an analysis of mouse models that have preexisting conditions and develop preeclampsia-like symptoms during pregnancy (Table 1).

TABLE 1
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TABLE 1. Current mouse models with preexisting conditions that develop PE.

Chronic hypertension

In the United States, chronic hypertension affects 45% of adults and up to 10% of all pregnancies (Muntner et al., 2018; Topel et al., 2018; Battarbee et al., 2020). Patients with chronic hypertension have an increased risk of adverse health conditions such as coronary artery disease, stroke, heart failure, and renal disease (Elliott, 2007). Preexisting hypertension is associated with additional complications during pregnancy such as preterm birth, fetal growth restriction, and preeclampsia; with preeclampsia being the most prevalent (Seely and Ecker, 2014). Chronic hypertension is high blood pressure that occurs prior to pregnancy or before 20 weeks of gestation. Preeclampsia is the rapid elevation of blood pressure, above preexisting stable hypertensive levels, after the 20th week of pregnancy accompanied with other systemic involvement.

A study of 822 pregnant women with chronic hypertension found that 22% of these patients developed preeclampsia (Chappell et al., 2008). Notably, nearly 50% of those with preexisting chronic hypertension developed early-onset preeclampsia (Chappell et al., 2008). In contrast, preeclampsia in the general population occurs in 2%–7% of pregnancies, with early-onset cases comprising about 16% (Abalos et al., 2013; Ananth et al., 2013; Lisonkova and Joseph, 2013; Fingar et al., 2017; Mayrink et al., 2019). The substantially increased prevalence of preeclampsia and early-onset cases in pregnancies complicated by chronic hypertension suggest that preexisting maternal hypertension is a significant predisposition in the development of the condition.

Mouse models that eliminate matrix metalloproteinase-9 (MMP-9)

Matrix metalloproteinases comprise a family of zinc-dependent proteases that degrade extracellular matrices. Specifically, matrix metalloproteinase-9 (MMP-9) degrades type IV, V, and IX collagens, gelatin, and elastin and is involved in numerous processes, including implantation, placentation, and embryogenesis (Vu et al., 1998; Silvia and Serakides, 2016; Espino et al., 2017; Quintero-Fabián et al., 2019; Timokhina et al., 2020). During pregnancy, MMP-9 has been shown to be involved in endometrial remodeling and the invasion of placental extravillous trophoblasts (Zhang et al., 2020). Conversely, decreased levels of MMP-9 are associated with impaired trophoblast invasion (Staun-Ram et al., 2004; Chen and Khalil, 2017).

The data demonstrating an association of MMP-9 in human preeclampsia are variable. Some reports have shown reduced levels of circulating MMP-9 in maternal plasma from preeclamptic pregnancies; however, other studies have found elevated levels or no significant differences (Montagnana et al., 2009; Plaks et al., 2013; Eleuterio et al., 2015; Laskowska, 2017; Timokhina et al., 2020). In a study looking at the association of MMP-9 in severe preeclampsia, mild preeclampsia, and normal pregnancies; MMP-9 expression was reduced in severely preeclamptic patients, but was not different between mild preeclampsia and normal pregnancies (Wang et al., 2015; Zhang et al., 2019). Some of these discrepancies may be attributable to MMP-9 levels in pregnancy, as MMP-9 have been shown to be positively correlated with gestational age (Montagnana et al., 2009).

Dubois et al. initially reported impaired reproduction in MMP-9 null mice. In these mice, MMP-9 deficiency was associated with a decrease in the number of pregnancies as well as a reduction in litter size (Dubois et al., 1999; Dubois et al., 2000). Plaks and Rinkenburger also investigated the role of MMP-9 in pregnancy using MMP-9 deficient mice and found these mice are sub-fertile with decreased implantation and increased fetal demise (Plaks et al., 2013). In pure or mixed backgrounds with homozygous MMP-9 null crosses (129SV/J on CD1 or Swiss black backgrounds), there was up to a 20% reduction in litter size; however, on a C57BL/6J mouse background, MMP-9 null homozygous crosses exhibited a 50% reduction in litter size (Plaks et al., 2013). The variation in litter size among different strains of mice suggests that genetic background may be a contributing factor in the varying effects observed.

When embryos from MMP-9 null homozygous crosses were analyzed at E10.5, 18.4% exhibited fetal growth restriction when compared to heterozygous control. Additionally, of the embryos that were growth restricted, it was reported that they were in a “twisted” and “constrained” state. Homozygous MMP-9 knockout mice had reduced and malformed ectoplacental cones, surrounded by blood pools at E7.5, impaired trophoblast differentiation, and reduced invasion (Plaks et al., 2013). The MMP-9 null placentas exhibited altered morphology with an increased number of trophoblast giant cells and diminished spongiotrophoblast and labyrinth layers (Plaks et al., 2013). Interestingly, it was reported that normal placental development required both maternal and fetal MMP-9 expression (Plaks et al., 2013).

When compared to non-pregnant controls, non-pregnant homozygous MMP-9 knockout mice were reported to have an elevated mean systolic blood pressure (Plaks et al., 2013). Importantly, pregnant homozygous MMP-9 knockout mice with viable fetuses exhibited a prolonged decrease in blood pressure as gestation progressed, compared to controls (Plaks et al., 2013). Kidneys from pregnant and non-pregnant MMP-9 null homozygous mice were also assessed. During pregnancy, the percentage of “open” glomerular capillaries in MMP-9 null mice was significantly reduced and proteinuria was present, which may indicate a pathology similar to glomerular endotheliosis (Plaks et al., 2013). While MMP-9 knockout mice have preexisting hypertension, the use of these mice as a comorbid model that develops preeclampsia-like symptoms requires consideration due to the uncharacteristic lack of elevated blood pressure during pregnancy.

Mouse models that overexpress factors in the renin-angiotensin-aldosterone system

The renin-angiotensin-aldosterone system (RAAS) maintains blood pressure by regulating sodium, potassium, and fluid volume. Dysregulation of the renin-angiotensin-aldosterone system leads to the development of chronic hypertension (Santos et al., 2012; Carey, 2015; Te Riet et al., 2015). Activation of renin-angiotensin-aldosterone system occurs when the precursor, prorenin, is converted to renin by the juxtaglomerular cells of the kidney (Hsueh & Baxter, 1991; von Lutterotti et al., 1994). Renin proteolytically cleaves angiotensinogen and subsequent processing results in the generation of angiotensin I and II. Angiotensin II, the predominant end-product of the renin-angiotensin-aldosterone system, binds to the angiotensin II type 1 receptor 1 (AT1) and results in the activation of downstream signaling pathways that ultimately lead to vasoconstriction and increased retention of sodium and water by the kidney (Spaan & Brown, 2012). Furthermore, angiotensin II stimulates release of aldosterone from the adrenal glands to promote blood volume expansion. The physiological response to vasoconstriction, sodium reabsorption, and volume expansion is increased blood pressure (Spaan & Brown, 2012).

In a normal healthy pregnancy, the levels of renin, angiotensinogen, angiotensin I and II, and aldosterone are elevated compared to non-pregnant women, but a vasodilatory state is present such that hypertension does not typically occur (Brown et al., 1963; Brown et al., 1997). The increased level of progesterone during pregnancy decreases the sensitivity to angiotensin II and changes the state of AT1 receptor binding so that twice as much angiotensin II is required to elicit an elevation in blood pressure that would typically occur while not pregnant (Assali & Westersten, 1961; Gant et al., 1973; AbdAlla et al., 2001). Thus, increased levels of angiotensin II are required during pregnancy to maintain a normotensive blood pressure (Irani & Xia, 2008). In patients with preeclampsia; however, the maternal levels of plasma renin, angiotensin II, and aldosterone have been shown to be lower than normotensive pregnancies (Weir et al., 1973; Gant et al., 1980; Brown et al., 1997; Irani and Xia, 2008; Leaños-Miranda et al., 2018).

Falcao et al., sought to investigate the occurrence of preeclampsia-like features in a hypertensive mouse model during pregnancy using double transgenic mice that overexpress the genes for human renin (REN, R+) and human angiotensinogen (AGT, A+) (R+A+ mice) (Sigmund et al., 1992; Falcao et al., 2009). Non-pregnant R+A+ mice have significantly elevated angiotensin II and mean arterial pressure compared to non-transgenic, non-pregnant control mice (Falcao et al., 2009). Pregnant R+A+ mice had significantly elevated blood pressure above mean arterial pressure levels on gestational days 5 and 17, compared to non-pregnant R+A+ mice (Falcao et al., 2009). The mean arterial pressure at gestational day 18 for R+A+ mice was significantly higher than non-transgenic mice, indicating that in R+A+ mice, pregnancy further exacerbates their hypertensive state (Falcao et al., 2009). The R+A+ mice MAP decreased 24 h after birth but did not completely return to prepregnant levels.

Pregnant R+A+ mice developed proteinuria by the end of gestation but did not have signs of glomeruloendotheliosis or other renal pathology (Falcao et al., 2009). In addition, pregnant and non-pregnant R+A+ mice exhibited cardiac hypertrophy. Placental pathology included increased necrosis and loss of labyrinthine trophoblast structure. Although no differences in litter size were observed, fetal and placental weights were both significantly reduced, compared to non-transgenic mice.

The Falcao et al. model is similar to one generated by Takimoto et al., who analyzed AGT overexpressing female mice crossed with REN overexpressing male mice (Takimoto et al., 1996). Takimoto reported that female AGT mice became hypertensive after day 14 of gestation and had glomerular enlargement and increased urinary protein, coinciding with the development of the placental renin overexpression. This indicates that these transgenic mice exhibit a pregnancy-specific increase in blood pressure, a hallmark of preeclampsia. These pregnant mice also developed myocardial concentric hypertrophy with only 38% surviving pregnancy (Takimoto et al., 1996). In addition, 15% of these transgenic hypertensive mice had generalized convulsions late in pregnancy. Placental analysis indicated necrotic cell death in the spongiotrophoblasts and decidual cells and chorionic congestion (Takimoto et al., 1996).

Both models show that the excess secretion of renin and other renin-angiotensin-aldosterone system proteins or angiotensin-like peptides by the placenta can lead to the development of preeclampsia-like symptoms during mouse pregnancy (Takimoto et al., 1996; Shah et al., 2000; Falcao et al., 2009; Denney et al., 2017). The paradox between overexpression of renin and angiotensinogen creating preeclampsia-like symptoms in mice and the reduced levels observed in humans with preeclampsia suggests that renin-angiotensin-aldosterone system may be a downstream effect of other dysregulated systems. Additionally, most currently available therapeutic inhibitors of renin-angiotensin-aldosterone system are teratogenic and fetotoxic, precluding their use to treat preeclampsia (Alwan et al., 2005; Alwasel et al., 2010; Ferreira et al., 2010).

Mouse models that eliminate endothelial nitric oxide synthase (ENOS)

Nitric oxide synthases [NOS I (nNOS), NOS II (iNOS), and NOS III (eNOS)] are a family of enzymes that create nitric oxide (NO) via the reduction of L-arginine to L-citrulline (Moncada and Higgs, 1993; Hefler et al., 2001; Förstermann and Sessa, 2012; Qian and Fulton, 2013). In the endothelium, the primary function of NO is to relax vascular smooth muscle tissue and it serves as an important regulator of arterial blood pressure (Shesely et al., 2001; Endres et al., 2004; Chen and Zheng, 2014; Guerby et al., 2021). Nitric oxide and the NOS enzymes play an important role in cardiovascular remodeling during development and are involved in the synthesis of vascular endothelial growth factor (VEGF), stimulation of endothelial progenitor cell activity, and angiogenesis via hypoxia inducible factor 1 alpha (HIF-1α) (Shesely et al., 2001; Endres et al., 2004; Chen and Zheng, 2014; Guerby et al., 2021). In a healthy normotensive pregnancy, nitric oxide levels spike early in gestation and gradually increase through the third trimester (Owusu Darkwa et al., 2018). In contrast, the levels of nitric oxide reported in preeclamptic women are conflicting; with reports showing increased, decreased, or no differences, compared to control (Seligman et al., 1994; Lyall et al., 1995; Smárason et al., 1997; Choi et al., 2002; Marshall et al., 2018).

Several groups have investigated the effect of eNOS knockout on blood pressure and the generation of preeclampsia-like symptoms in mice, following reports that chronic non-specific pharmacologic inhibition of NOS recapitulates some symptoms of preeclampsia (Baylis & Engels, 1992; Yallampalli & Garfield, 1993; Shesely et al., 1996; Hefler et al., 2001; Shesely et al., 2001; Kusinski et al., 2012). Three independent studies have reported that non-pregnant eNOS knockout mice have elevated blood pressure compared to controls (Huang et al., 1995; Shesely et al., 1996; Kusinski et al., 2012).

Hefler et al. examined pregnant eNOS homozygous knockout mice and reported reduced fetal weights; however, no placental abnormalities were noted. In that study, blood pressure and proteinuria were not reported, but severe limb abnormalities were identified (Hefler et al., 2001). Shesely et al., found that non-pregnant homozygous eNOS knockout mice had significantly increased blood pressure compared to control mice; however, blood pressure did not significantly increase during pregnancy (Shesely et al., 1996; Shesely et al., 2001). Similarly, Kusinski et al., observed that eNOS knockout mice had elevated blood pressure before and during pregnancy at gestational day 17.5, when compared to wild type mice (Kusinski et al., 2012). However, there was no significant increase in blood pressure between pregnant eNOS knockout mice and non-pregnant eNOS knockout mice (Kusinski et al., 2012). Investigations into placental structure determined that spiral artery remodeling was dysregulated, the labyrinth zone was reduced, uteroplacental hypoxia was present, and placental nutrient transport was reduced in eNOS knockout mice (Kulandavelu et al., 2012; Kusinski et al., 2012; Kulandavelu et al., 2013). Levels of VEGF were reduced and HIF-1α protein was increased in eNOS knockout placentas; whereas, levels of souble fms-like tyrosine kinase-1 (sFLT-1) in maternal plasma were not different between eNOS knockout and control (Kulandavelu et al., 2012; Kusinski et al., 2012; Kulandavelu et al., 2013).

Litter size was also reduced in eNOS knockout compared to control mice (Kulandavelu et al., 2013). Additionally, maternal and fetal weights were reduced in eNOS knockout mice compared to control at gestational day 17.5, but placental weights were not different (Kulandavelu et al., 2012; Kusinski et al., 2012; Kulandavelu et al., 2013). eNOS null mice have consistently been reported to be small and could serve as a model of fetal growth restriction; however, these mice have not been shown to exhibit a significant elevation in blood pressure during gestation that is characteristic of the preeclamptic condition (Medica et al., 2007; McCarthy et al., 2011; Kulandavelu et al., 2012; Kusinski et al., 2012; Qi et al., 2013; Alpoim et al., 2014).

Diabetes

Type 1 diabetes mellitus is an autoimmune disease that causes endogenous insulin insufficiency (Chen et al., 2018; Sugrue and Zera, 2018). Type 2 diabetes mellitus is generally characterized by increased insulin resistance, rather than insulin insufficiency, as a result of chronically elevated serum levels of glucose and triglycerides (Salzer et al., 2015; Sugrue and Zera, 2018; Echeverria et al., 2020). In an uncomplicated pregnancy, peripheral insulin resistance increases approximately three-fold, compared to the non-pregnant state, in order to accommodate the developing fetus (Salzer et al., 2015; Kanasaki, 2018). This insulin resistance and subsequent hyperglycemic state create a diabetogenic environment (Kanasaki, 2018). Individuals with preexisting diabetes, however, have insufficient production or an inadequate response to insulin, thus impairing their ability to adapt to the metabolic demands of pregnancy.

Diabetes mellitus is strongly associated with the development of preeclampsia (Scioscia et al., 2009; Burke et al., 2011; Gutaj et al., 2017; Sugrue and Zera, 2018). Pregnancies complicated by pregestational Type 1 diabetes mellitus developed preeclampsia in 18% of cases, compared to 2.6% in the control population identified in this study (Jensen et al., 2004). Additional studies have reported that 11% of pregnancies with preexisting Type 2 diabetes later developed preeclampsia (Jensen et al., 2004; Groen et al., 2013). How pregestational Type 1 and Type 2 diabetes increase the risk of developing preeclampsia is not well understood and requires further investigation.

Mouse models of type 1 diabetes mellitus

Non-obese diabetic (NOD) mice are an inbred strain characterized by the spontaneous development of autoimmunity and Type 1 diabetes mellitus. These mice have a mutation that results in depletion of regulatory T-cells and leads to the death of the pancreatic islet beta cells (D’Alise et al., 2008). NOD mice are widely used to study the pathophysiology of Type 1 diabetes mellitus, as they demonstrate autoimmune cell infiltration into pancreatic islet beta cells characteristic of the disease (Chen et al., 2018). Notably, not all non-obese diabetic mice will develop hyperglycemia in their lifetime, as the degree of pancreatic immune cell infiltration determines whether NOD mice will develop diabetes (Chen et al., 2018). Non-obese diabetic mice with mild pancreatic autoimmune cell infiltration can maintain normal blood glucose levels and never progress to a Type 1 diabetic phenotype; whereas, non-obese diabetic mice that have extensive insulitis develop a phenotype more severe than what occurs in the human condition. Nevertheless, the NOD mouse model most closely mirrors the spontaneous onset of Type 1 diabetes mellitus (Burke et al., 2011; Chen et al., 2018).

Pregnant non-obese diabetic mice are reported to have significantly increased proteinuria as gestation progresses with accompanying renal histopathology indicative of acute kidney injury (Burke et al., 2011). Pregnant non-obese diabetic mice also exhibit progressive bradycardia and reduced blood pressure from gestational day 10 through gestational day 18, compared to pregnant non-obese nondiabetic mice (Burke et al., 2011). The placentas in pregnant non-obese diabetic mice demonstrated impaired spiral artery remodeling, as a reduction in the number of spiral arteries and decreased luminal diameters (Burke et al., 2007; Burke et al., 2011). Placental weights from non-obese diabetic pregnancies were significantly increased; whereas, pup weights at birth were significantly lower compared to non-diabetic controls (Burke et al., 2007). Pregnant non-obese diabetic mice do exhibit kidney dysfunction and proteinuria in the diabetic animals, compared to the non-diabetic non-obese diabetic mice; however, the variability in the generation of a diabetic phenotype and unexpected cardiac features indicate further work is needed to model this comorbidity. Additionally, the decrease in blood pressure in pregnant non-obese diabetic mice is not representative of the preeclamptic condition in humans with pregestational Type 1 diabetes mellitus (Burke et al., 2011; Shub, 2020; Shub and Lappas, 2020).

Obesity

The prevalence of obesity has reached epidemic proportions (Barnes, 2011; Olson et al., 2019). Obesity is a condition in which an individual has excess adipose tissue (body fat) and is clinically characterized by body mass index (BMI). This condition is associated with low grade inflammation and is often accompanied by dyslipidemia, decreased insulin sensitivity, and cardiovascular disease; collectively known as metabolic syndrome (Roberts et al., 2011; Kim et al., 2014; Howell and Powell, 2017; Olson et al., 2019). In particular, obesity has dramatically increased in women by more than 65% over the last 40 years (Wang and Beydoun, 2007; Barnes, 2011; Jeyabalan, 2013; Olson et al., 2019). According to the National Institute for Diabetes and Digestive and Kidney Diseases, the incidence of overweight (BMI: 25–29.9) and obese (BMI: ≥30) adult females in the United States is a striking 67% (Flegal et al., 2010; Fryar et al., 2020). Obesity is the leading risk factor for the development of Type II diabetes (Barnes, 2011).

Obesity is associated with an increased risk of developing complications during gestation and has been reported to be present in ∼30% of all pregnancies in the United States (Roberts et al., 2011; Driscoll and Gregory, 2020). Obesity during pregnancy is associated with numerous complications such as gestational hypertension, gestational diabetes, preterm birth, stillbirth, and preeclampsia (Yogev and Catalano, 2009; Roberts et al., 2011; Myatt and Maloyan, 2016; Lopez-Jaramillo et al., 2018; Kelly et al., 2020; Dumolt et al., 2021). Additionally, maternal obesity is associated with alterations in fetal weight, as neonates have an increased risk for growth restriction, but more commonly, macrosomia (Ornoy, 2011; Kanda et al., 2012; Tenenbaum-Gavish and Hod, 2013). The impact of obesity on fetal development can lead to potential life-altering cardiovascular, metabolic, and neurocognitive conditions for offspring later in life (Howell and Powell, 2017; Cirulli et al., 2020; Kelly et al., 2020; Dumolt et al., 2021).

Human and animal studies have reported that obesity can alter placental function (Kim et al., 2014; Saben et al., 2014; Spradley et al., 2015a; Spradley et al., 2015b; Olson et al., 2019; Wallace et al., 2019; Hoch et al., 2020). Placental expression of glucose, fatty acid, and amino acid transporters has been shown to be increased in obese individuals during human pregnancy and increased expression of placental nutrient transporters is strongly correlated with fetal birth weight (Jansson et al., 2013; Acosta et al., 2015; Lager et al., 2016; Howell and Powell, 2017; Vaughan et al., 2021). Maternal obesity may also lead to excess lipid accumulation in the placenta and could potentially interfere with trophoblast invasion, nutrient transport, and angiogenesis, which are often affected in preeclampsia (Saben et al., 2014).

The risk of developing preeclampsia during pregnancy is strongly correlated with maternal prepregnancy body mass index, with the risk doubling for overweight individuals and tripling for those clinically defined as obese (Bodnar et al., 2005; Robillard et al., 2019). While obesity is clearly indicated as a risk factor for the development of preeclampsia; the underlying mechanisms impacted by this comorbidity or how it may contribute to the development of preeclampsia remain unclear and warrant further study (Spradley et al., 2015b).

Mouse models of obesity

Obesity is typically studied by feeding animals a diet high in fat to increase body weight (Christians et al., 2019). Masuyama and Hiramatsu studied the effect of obesity on pregnancy in adult, eight-week-old ICR mice after being fed a high-fat diet (HFD) consisting of 62% of calories from fat for 4 weeks (Masuyama and Hiramatsu, 2012). The prepregnancy weights of female ICR mice fed the high-fat diet were not reported; however, at the end of gestation, pregnant female high-fat diet mice were on average 16 g heavier than those on the control diet (Masuyama and Hiramatsu, 2012; Masuyama et al., 2016). High-fat diet pregnant mice exhibited increased insulin resistance with poor glucose tolerance, as well as increased serum levels of triglycerides and leptin, but had decreased levels of adiponectin (Masuyama and Hiramatsu, 2012; Masuyama et al., 2016).

Pregnant high-fat diet mice developed significantly elevated blood pressure at E18.5 accompanied by proteinuria (Masuyama and Hiramatsu, 2012). Also present was a significant increase in fetal weight, but no change in placental weight or litter size was observed (Masuyama and Hiramatsu, 2012; Masuyama et al., 2016). Placental morphology, lineage, immune, or angiogenic markers were not assessed in these studies (Masuyama and Hiramatsu, 2012). However, placental morphology was reported to be altered in a different study using pregnant obese mice (45% high-fat diet), where high-fat diet was associated with decreased labyrinth thickness, compared to the control diet (Kim et al., 2014).

A standard way to induce obesity in mice is to use a diet high in fat content (i.e., ∼60% of calories from fat). It should be noted; however, that this percentage of calories to induce obesity is not generally representative of typical Western diets, which is closer to ∼35–45% fat (Hintze et al., 2018). Also, not all strains of mice develop obesity on a high-fat diet, which suggests that an underlying genetic predisposition for obesity may be present in certain strains (Nishikawa et al., 2007; Huang et al., 2020; Li et al., 2020). Overall, the high-fat diet mouse model exhibits some of the classical hallmarks of preeclampsia, but further studies are required to better define inflammatory and angiogenic factors in these obese mice that develop preeclampsia-like symptoms.

Mouse models with multiple comorbidites

Blood pressure high/5 (BPH/5)

Work by Davisson et al., led to the identification of a mouse line, Blood Pressure High 5 (BPH/5), that is borderline hypertensive throughout adult life and spontaneously develops the hallmarks of preclampsia during pregnancy (Davisson et al., 2002). BPH/5 mice are a substantially inbred subline, derived from >20 generations of brother-sister matings of the more well-known, hypertensive BPH/2 strain (Schlager and Sides, 1997; Davisson et al., 2002). BPH/5 mice have significantly increased blood pressure prior to pregnancy, compared to C57BL/6 mice, as well as a significantly increased mean arterial pressure during pregnancy, beginning on gestational day 14 through parturition. The blood pressure of BPH/5 returned to the baseline “borderline hypertensive” levels after birth (Davisson et al., 2002). Endothelial dysfunction was also noted in pregnant BPH/5 mice and proteinuria as well as glomerulosclerosis were observed. In addition, fetal weights were significantly reduced and litter sizes were notably smaller (Davisson et al., 2002).

Analysis of BPH/5 pregnancies revealed that placental weights of BPH/5 placentas were similar to controls in late gestation (Dokras et al., 2006). All placental lineages were present; however, disruption of placental structure was noted, as trophoblast layers were disorganized and the expression of placental lineage markers were significantly reduced at E14.5 (Dokras et al., 2006). Vascular pathologies were also present in BPH/5 placentas, as blood spaces and branching morphogenesis were reduced and decidual vessels were characterized by thickened vessel walls, narrowed lumens, and increased uterine artery resistance (Dokras et al., 2006). Decreased VEGF and placental growth factor (PlGF) mRNA were observed in BPH/5 placentas at E10.5, while sFLT-1 mRNA was significantly increased, consistent with preeclampsia symptoms (Sones et al., 2018).

The BPH/5 mouse model presents with borderline hypertension and recapitulates several hallmarks of preeclampsia during pregnancy (Sones and Davisson, 2016). Disruption of normal placental development and smaller fetal weight at birth suggests that this model may be similar to early-onset preeclampsia with fetal growth restriction (Waker et al., 2021). Recent studies; however, have changed the context of the BPH/5 model and expanded the comorbidity beyond spontaneous chronic borderline hypertension and to now include preexisting metabolic disease, obesity, and fatty liver disease (Sutton et al., 2017; Reijnders et al., 2019; Johnston et al., 2021; Sones et al., 2021).

In addition, the reproductive axis in these mice is disrupted as the BPH/5 mice have reduced serum 17β-estradiol during estrous (Sutton et al., 2017). During pregnancy these mice continue to exhibit increased body weight and white adipose tissue with elevated cholesterol and triglyceride levels compared to C57BL/6 control mice, indicative of obesity (Reijnders et al., 2019). Caloric restriction ameliorated some of these pathologies and suggests that the BPH/5 phenotype might be linked to the metabolic disease, in addition to being chronically borderline hypertensive (Reijnders et al., 2019; Olson et al., 2020). The conjunction of these multiple comorbidities may make it challenging to determine the individual effects of chronic hypertension or obesity on the generation of preeclampsia. However, women that are both obese and hypertensive are a segment of the population at high risk of developing the condition and a mouse model that exhibits these preexisting conditions may be useful to study the interaction and impact of both comorbidities on the development of preeclampsia.

Conclusion

Several mouse models with comorbidities that exhibit preeclampsia-like symptoms have been developed. These models vary in the techniques used to create them and how closely they recapitulate the human condition. Comorbidities such as chronic hypertension, pregestational diabetes, and obesity increase the risk of developing preeclampsia. As the prevalence of these conditions is predicted to increase in coming years, so too will the number of people that develop preeclampsia (Gortazar et al., 2020). The short-term economic costs of preeclampsia are in the billions and are even greater long-term, when the increased risk for chronic comorbidities for mother and offspring are also considered (Martin et al., 2011; Stevens et al., 2017; Burton et al., 2019; Rana et al., 2019; Waker et al., 2021).

Preeclampsia is a heterogenous condition that differs in timing and severity, indicating that many models may be needed to uncover underlying mechanisms that are common and disparate. As preeclampsia only spontaneously occurs in humans and a few higher apes, mouse models are well-accepted to model the condition preclinically. While several mouse models with preexisting comorbidities exist, not all are representative of the human condition, thus choosing which models to adapt to study preeclampsia is of importance.

Although autoimmune diseases (systemic lupus erythematosus, antiphospholipid syndrome) are significant risk factors for preeclampsia, no mouse models currently exist that investigate preeclampsia with these preexisting conditions prior to pregnancy. Autoimmune antibodies administered during a normal mouse pregnancy, such as antiphospholipid or agonistic angiotensin type 1 receptor autoantibodies, can induce preeclampsia-like symptoms; however, this does not model a preexisting condition. In addition, no reported mouse models of a previously preeclamptic pregnancy or preexisting chronic kidney disease, which are high risk factors, have been studied in relation to the development of preeclampsia. While gestational diabetes with subsequent onset of preeclampsia does occur in some patients, gestational diabetes generally only occurs after the first trimester of pregnancy and therefore is not a preexisting condition. Perhaps most challenging, but nonetheless important, are the lack of complex mouse models with multiple preexisting conditions often observed in the human population that are at high risk of developing preeclampsia; such as: obesity with diabetes, chronic hypertension with obesity, or chronic hypertension with obesity and diabetes.

There is an urgent need to increase the development of mouse models of preeclampsia with preexisting conditions that recapitulate the human patient population. The use of advanced techniques in combination with preexisting comorbidity models, such as trophoblast-specific gene transfer of HIF-1α in mice on a high fat Western diet or sFLT1 in non-obese diabetic mice, may more accurately reflect preeclampsia superimposed on a comorbidity (Kaufman et al., 2014; Albers et al., 2019; Vaughan et al., 2021). Future studies will improve our understanding of how preexisting conditions impact the development, timing, and severity of preeclampsia and will provide a much-needed foundation for subsequent preclinical and translational studies.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Funding

We would like to thank the following: Eunice Kennedy Shriver National Institute of Child Health and Human Development (HD R01HD059969, TB), AMAG Pharmaceuticals (GN 671265, TB), Nicholas J Thompson Obstetrics and Gynecology Distinguished Professor Translational Research Award (TB), the Wright State University and Premier Health Neuroscience Institute (TB), the Wright State University Biomedical Sciences Ph.D. Program (CW, SB-G, AH), the Margaruite Duerst Medical Student Research Fund (SB-G), the Wright State University Foundation Women in Science Giving Circle (MK), and Wright State University Foundation Endowment for Research on Pregnancy Associated Disorders (TB, https://www.wright.edu/give/pregnancyassociateddisorders).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Abalos, E., Cuesta, C., Grosso, A. L., Chou, D., and Say, L. (2013). Global and regional estimates of preeclampsia and eclampsia: A systematic review. Eur. J. Obstetrics, Gynecol. Reproductive Biol. 170 (1), 1–7. doi:10.1016/j.ejogrb.2013.05.005

CrossRef Full Text | Google Scholar

AbdAlla, S., Lother, H., el Massiery, A., and Quitterer, U. (2001). Increased AT1 receptor heterodimers in preeclampsia mediate enhanced angiotensin II responsiveness. Nat. Med. 7 (9), 1003–1009. doi:10.1038/nm0901-1003

PubMed Abstract | CrossRef Full Text | Google Scholar

Acosta, O., Ramirez, V. I., Lager, S., Gaccioli, F., Dudley, D. J., Powell, T. L., et al. (2015). Increased glucose and placental GLUT-1 in large infants of obese nondiabetic mothers. Am. J. Obstet. Gynecol. 212 (2), 227.e1–7. doi:10.1016/j.ajog.2014.08.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Albers, R. E., Kaufman, M. R., Natale, B. V., Keoni, C., Kulkarni-Datar, K., Min, S., et al. (2019). Trophoblast-specific expression of hif-1α results in preeclampsia-like symptoms and fetal growth restriction. Sci. Rep. 9 (1), 2742. doi:10.1038/s41598-019-39426-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Alpoim, P. N., Gomes, K. B., Pinheiro Mde, B., Godoi, L. C., Jardim, L. L., Muniz, L. G., et al. (2014). Polymorphisms in endothelial nitric oxide synthase gene in early and late severe preeclampsia. Nitric Oxide 42, 19–23. doi:10.1016/j.niox.2014.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Alwan, S., Polifka, J. E., and Friedman, J. M. (2005). Angiotensin II receptor antagonist treatment during pregnancy. Birth Defects Res. A Clin. Mol. Teratol. 73 (2), 123–130. doi:10.1002/bdra.20102

PubMed Abstract | CrossRef Full Text | Google Scholar

Alwasel, S. H., Kaleem, I., Sahajpal, V., and Ashton, N. (2010). Maternal protein restriction reduces angiotensin II AT(1) and AT(2) receptor expression in the fetal rat kidney. Blood Press Res. 33 (4), 251–259. doi:10.1159/000317739

CrossRef Full Text | Google Scholar

Ananth, C. V., Keyes, K. M., and Wapner, R. J. (2013). Pre-eclampsia rates in the United States, 1980-2010: Age-period-cohort analysis. BMJ Clin. Res. ed.) 347, f6564. doi:10.1136/bmj.f6564

CrossRef Full Text | Google Scholar

Assali, N. S., and Westersten, A. (1961). Regional flow-pressure relationship in response to angiotensin in the intact dog and sheep. Circulation Res. 9 (1), 189–193. doi:10.1161/01.RES.9.1.189

PubMed Abstract | CrossRef Full Text | Google Scholar

Barnes, A. S. (2011). The epidemic of obesity and diabetes: Trends and treatments. Tex Heart Inst. J. 38 (2), 142–144. doi:10.1007/s11906-018-0812-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Battarbee, A. N., Sinkey, R. G., Harper, L. M., Oparil, S., and Tita, A. (2020). Chronic hypertension in pregnancy. Am. J. Obstet. Gynecol. 222 (6), 532–541. doi:10.1016/j.ajog.2019.11.1243

PubMed Abstract | CrossRef Full Text | Google Scholar

Baylis, C., and Engels, K. (1992). Adverse interactions between pregnancy and a new model of systemic hypertension produced by chronic blockade of endothelial derived relaxing factor (EDRF) in the rat. Part B Hypertens. pregnancy 11 (2-3), 117–129. doi:10.3109/10641959209031038

CrossRef Full Text | Google Scholar

Bodnar, L. M., Ness, R. B., Markovic, N., and Roberts, J. M. (2005). The risk of preeclampsia rises with increasing prepregnancy body mass index. Ann. Epidemiol. 15 (7), 475–482. doi:10.1016/j.annepidem.2004.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, J. J., Davies, D. L., Doak, P. B., Lever, A. F., and Robertson, J. I. S. (1963). Plasma-renin in normal pregnancy. Lancet 2, 900–901. doi:10.1016/s0140-6736(63)90614-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Brown, M. A., Wang, J., and Whitworth, J. A. (1997). The renin — Angiotensin — Aldosterone system in pre-eclampsia. Clin. Exp. Hypertens. 19 (5-6), 713–726. doi:10.3109/10641969709083181

PubMed Abstract | CrossRef Full Text | Google Scholar

Burke, S. D., Barrette, V. F., David, S., Khankin, E. V., Adams, M. A., and Croy, B. A. (2011). Circulatory and renal consequences of pregnancy in diabetic NOD mice. Placenta 32 (12), 949–955. doi:10.1016/j.placenta.2011.09.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Burke, S. D., Dong, H., Hazan, A. D., and Croy, B. A. (2007). Aberrant endometrial features of pregnancy in diabetic NOD mice. Diabetes 56 (12), 2919–2926. doi:10.2337/db07-0773

PubMed Abstract | CrossRef Full Text | Google Scholar

Burton, G. J., Redman, C. W., Roberts, J. M., and Moffett, A. (2019). Pre-eclampsia: Pathophysiology and clinical implications. BMJ 366, l2381. doi:10.1136/bmj.l2381

PubMed Abstract | CrossRef Full Text | Google Scholar

Carey, R. M. (2015). The intrarenal renin-angiotensin system in hypertension. Adv. Chronic Kidney Dis. 22 (3), 204–210. doi:10.1053/j.ackd.2014.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Chappell, L. C., Cluver, C. A., Kingdom, J., and Tong, S. (2021). Pre-eclampsia. Lancet 398 (10297), 341–354. doi:10.1016/S0140-6736(20)32335-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Chappell, L. C., Enye, S., Seed, P., Briley, A. L., Poston, L., and Shennan, A. H. (2008). Adverse perinatal outcomes and risk factors for preeclampsia in women with chronic hypertension: A prospective study. Hypertension 51 (4), 1002–1009. doi:10.1161/HYPERTENSIONAHA.107.107565

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, D. B., and Zheng, J. (2014). Regulation of placental angiogenesis. Microcirculation 21 (1), 15–25. doi:10.1111/micc.12093

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, J., and Khalil, R. A. (2017). Matrix metalloproteinases in normal pregnancy and preeclampsia. Prog. Mol. Biol. Transl. Sci. 148, 87–165. doi:10.1016/bs.pmbts.2017.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y. G., Mathews, C. E., and Driver, J. P. (2018). The role of NOD mice in type 1 diabetes research: Lessons from the past and recommendations for the future. Front. Endocrinol. 9 (51), 51–59. doi:10.3389/fendo.2018.00051

CrossRef Full Text | Google Scholar

Choi, J. W., Im, M. W., and Pai, S. H. (2002). Nitric oxide production increases during normal pregnancy and decreases in preeclampsia. Ann. Clin. Lab. Sci. 32, 257–263. PMID: 12175088.

PubMed Abstract | Google Scholar

Christians, J. K., Lennie, K. I., Wild, L. K., and Garcha, R. (2019). Effects of high-fat diets on fetal growth in rodents: A systematic review. Reprod. Biol. Endocrinol. 17 (1), 39. doi:10.1186/s12958-019-0482-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Cirulli, F., Musillo, C., and Berry, A. (2020). Maternal obesity as a risk factor for brain development and mental health in the offspring. Neuroscience 447, 122–135. doi:10.1016/j.neuroscience.2020.01.023

PubMed Abstract | CrossRef Full Text | Google Scholar

SMFM Patient Safety and Quality Committee Combs, C. A., and Montgomery, D. M. (2020). Society for Maternal-Fetal Medicine Special Statement: Checklists for preeclampsia risk-factor screening to guide recommendations for prophylactic low-dose aspirin. Am. J. Obstet. Gynecol. 223 (3), B7–B11. doi:10.1016/j.ajog.2020.06.003

PubMed Abstract | CrossRef Full Text | Google Scholar

D'Alise, A. M., Auyeung, V., Feuerer, M., Nishio, J., Fontenot, J., Benoist, C., et al. (2008). The defect in T-cell regulation in NOD mice is an effect on the T-cell effectors. Proc. Natl. Acad. Sci. U. S. A. 105 (50), 19857–19862. doi:10.1073/pnas.0810713105

PubMed Abstract | CrossRef Full Text | Google Scholar

Davisson, R. L., Hoffmann, D. S., Butz, G. M., Aldape, G., Schlager, G., Merrill, D. C., et al. (2002). Discovery of a spontaneous genetic mouse model of preeclampsia. Hypertension 39 (2), 337–342. doi:10.1161/hy02t2.102904

PubMed Abstract | CrossRef Full Text | Google Scholar

Denney, J. M., Bird, C., Gendron-Fitzpatrick, A., Sampene, E., Bird, I. M., and Shah, D. M. (2017). Renin-angiotensin system transgenic mouse model recapitulates pathophysiology similar to human preeclampsia with renal injury that may be mediated through VEGF. Am. J. Physiol. Ren. Physiol. 312 (3), F445–F455. doi:10.1152/ajprenal.00108.2016

CrossRef Full Text | Google Scholar

Dokras, A., Hoffmann, D. S., Eastvold, J. S., Kienzle, M. F., Gruman, L. M., Kirby, P. A., et al. (2006). Severe feto-placental abnormalities precede the onset of hypertension and proteinuria in a mouse model of preeclampsia. Biol. reproduction 75 (6), 899–907. doi:10.1095/biolreprod.106.053603

CrossRef Full Text | Google Scholar

Driscoll, A. K., and Gregory, E. C. W. (2020). Increases in prepregnancy obesity: United States, 2016–2019. NCHS Data Brief. 392, 1. National Center for Health Statistics.

PubMed Abstract | Google Scholar

Dubois, B., Arnold, B., and Opdenakker, G. (2000). Gelatinase B deficiency impairs reproduction. J. Clin. Invest. 106 (5), 627–628. doi:10.1172/JCI10910

PubMed Abstract | CrossRef Full Text | Google Scholar

Dubois, B., Masure, S., Hurtenbach, U., Paemen, L., Heremans, H., van den Oord, J., et al. (1999). Resistance of young gelatinase B-deficient mice to experimental autoimmune encephalomyelitis and necrotizing tail lesions. J. Clin. Invest. 104 (11), 1507–1515. doi:10.1172/JCI6886

PubMed Abstract | CrossRef Full Text | Google Scholar

Dumolt, J. H., Powell, T. L., and Jansson, T. (2021). Placental function and the development of fetal overgrowth and fetal growth restriction. Obstet. Gynecol. Clin. North Am. 48 (2), 247–266. doi:10.1016/j.ogc.2021.02.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Echeverria, C., Eltit, F., Santibanez, J. F., Gatica, S., Cabello-Verrugio, C., and Simon, F. (2020). Endothelial dysfunction in pregnancy metabolic disorders. Biochim. Biophys. Acta Mol. Basis Dis. 1866 (2), 165414. doi:10.1016/j.bbadis.2019.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Eleuterio, N. M., Palei, A. C., Rangel Machado, J. S., Tanus-Santos, J. E., Cavalli, R. C., and Sandrim, V. C. (2015). Positive correlations between circulating adiponectin and MMP2 in preeclampsia pregnant. Pregnancy Hypertens. 5 (2), 205–208. doi:10.1016/j.preghy.2015.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Elliott, W. J. (2007). Systemic hypertension. Curr. Problems Cardiol. 32 (4), 201–259. doi:10.1016/j.cpcardiol.2007.01.002

CrossRef Full Text | Google Scholar

Endres, M., Laufs, U., Liao, J. K., and Moskowitz, M. A. (2004). Targeting eNOS for stroke protection. Trends Neurosci. 27 (5), 283–289. doi:10.1016/j.tins.2004.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Espino, Y., Sosa, S., Flores-Pliego, A., Espejel-Nuñez, A., Medina-Bastidas, D., Vadillo-Ortega, F., et al. (2017). New insights into the role of matrix metalloproteinases in preeclampsia. Int J Mol Sci 18 (7), 1448. doi:10.3390/ijms18071448

PubMed Abstract | CrossRef Full Text | Google Scholar

Falcao, S., Stoyanova, E., Cloutier, G., Maurice, R. L., Gutkowska, J., and Lavoie, J. L. (2009). Mice overexpressing both human angiotensinogen and human renin as a model of superimposed preeclampsia on chronic hypertension. Hypertension 54 (6), 1401–1407. doi:10.1161/HYPERTENSIONAHA.109.137356

PubMed Abstract | CrossRef Full Text | Google Scholar

Ferreira, A. J., Santos, R. A. S., Bradford, C. N., Mecca, A. P., Sumners, C., Katovich, M. J., et al. (2010). Therapeutic implications of the vasoprotective axis of the renin-angiotensin system in cardiovascular diseases. Hypertension 55 (2), 207–213. doi:10.1161/HYPERTENSIONAHA.109.140145

PubMed Abstract | CrossRef Full Text | Google Scholar

Fingar, K. R., Mabry-Hernandez, I., Ngo-Metzger, Q., Wolff, T., Steiner, C. A., and Elixhauser, A. (2017). “Delivery hospitalizations involving preeclampsia and eclampsia, 2005–2014,” in Healthcare cost and utilization project (HCUP) statistical briefs (Rockville (MD): Agency for Healthcare Research and Quality US).

Google Scholar

Flegal, K. M., Carroll, M. D., Ogden, C. L., and Curtin, L. R. (2010). Prevalence and trends in obesity among US adults, 1999-2008. JAMA 303 (3), 235–241. doi:10.1001/jama.2009.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Förstermann, U., and Sessa, W. C. (2012). Nitric oxide synthases: Regulation and function. Eur. Heart J. 33 (7), 829–837. doi:10.1093/eurheartj/ehr304

PubMed Abstract | CrossRef Full Text | Google Scholar

Fryar, C. D., Carroll, M. D., and Afful, J. (2020). Prevalence of overweight, obesity, and severe obesity among adults aged 20 and over: United States, 1960–1962. NCHS Health E-Stats 2020.

Google Scholar

Gant, N. F., Daley, G. L., Chand, S., Whalley, P. J., and MacDonald, P. C. (1973). A study of angiotensin II pressor response throughout primigravid pregnancy. J. Clin. Invest. 11, 2682–2689. doi:10.1172/JCI107462

PubMed Abstract | CrossRef Full Text | Google Scholar

Gant, N. F., Worley, R. J., Everett, R. B., and MacDonald, P. C. (1980). Control of vascular responsiveness during human pregnancy. Kidney Int. 18 (2), 253–258. doi:10.1038/ki.1980.133

PubMed Abstract | CrossRef Full Text | Google Scholar

Garovic, V. D., Dechend, R., Easterling, T., Karumanchi, S. A., McMurtry Baird, S., Magee, L. A., et al. (2022). Hypertension in pregnancy: Diagnosis, blood pressure goals, and pharmacotherapy: A scientific statement from the American heart association. Hypertension 79 (2), e21–e41. doi:10.1161/HYP.0000000000000208

PubMed Abstract | CrossRef Full Text | Google Scholar

Gathiram, P., and Moodley, J. (2016). Pre-eclampsia: Its pathogenesis and pathophysiolgy. Cardiovasc J. Afr. 27 (2), 71–78. doi:10.5830/CVJA-2016-009

PubMed Abstract | CrossRef Full Text | Google Scholar

Gortazar, L., Goday, A., Flores-Le Roux, J. A., Sarsanedas, E., Payà, A., Mañé, L., et al. (2020). Trends in prevalence of pre-existing diabetes and perinatal outcomes: A large, population-based study in catalonia, Spain, 2006-2015. BMJ Open Diabetes Res. Care 8 (1), e001254. doi:10.1136/bmjdrc-2020-001254

PubMed Abstract | CrossRef Full Text | Google Scholar

Groen, B., Links, T. P., van den Berg, P. P., Hellinga, M., Moerman, S., Visser, G. H., et al. (2013). Similar adverse pregnancy outcome in native and nonnative Dutch women with pregestational type 2 diabetes: A multicentre retrospective study. ISRN Obstet. Gynecol. 2013, 361435. doi:10.1155/2013/361435

PubMed Abstract | CrossRef Full Text | Google Scholar

Guerby, P., Tasta, O., Swiader, A., Pont, F., Bujold, E., Parant, O., et al. (2021). Role of oxidative stress in the dysfunction of the placental endothelial nitric oxide synthase in preeclampsia. Redox Biol. 40, 101861. doi:10.1016/j.redox.2021.101861

PubMed Abstract | CrossRef Full Text | Google Scholar

Gutaj, P., Zawiejska, A., Mantaj, U., and Wender-Ozegowska, E. (2017). Determinants of preeclampsia in women with type 1 diabetes. Acta. Diabetol. 54, 1115–1121. doi:10.1007/s00592-017-1053-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Hefler, L. A., Reyes, C. A., O'Brien, W. E., and Gregg, A. R. (2001). Perinatal development of endothelial nitric oxide synthase-deficient mice. Biol. reproduction 64 (2), 666–673. doi:10.1095/biolreprod64.2.666

CrossRef Full Text | Google Scholar

Hintze, K. J., Benninghoff, A. D., Cho, C. E., and Ward, R. E. (2018). Modeling the Western diet for preclinical investigations. Adv. Nutr. 9 (3), 263–271. doi:10.1093/advances/nmy002

PubMed Abstract | CrossRef Full Text | Google Scholar

Hladunewich, M., Karumanchi, S. A., and Lafayette, R. (2007). Pathophysiology of the clinical manifestations of preeclampsia. Clin. J. Am. Soc. Nephrol. 2 (3), 543–549. doi:10.2215/CJN.03761106

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoch, D., Bachbauer, M., Pöchlauer, C., Algaba-Chueca, F., Tandl, V., Novakovic, B., et al. (2020). Maternal obesity alters placental cell cycle regulators in the first trimester of human pregnancy: New insights for BRCA1. Int. J. Mol. Sci. 21 (2), 468. doi:10.3390/ijms21020468

PubMed Abstract | CrossRef Full Text | Google Scholar

Howell, K. R., and Powell, T. L. (2017). Effects of maternal obesity on placental function and fetal development. Reproduction 153 (3), R97–R108. doi:10.1530/REP-16-0495

PubMed Abstract | CrossRef Full Text | Google Scholar

Hsueh, W. A., and Baxter, J. D. (1991). Human prorenin. Hypertension 17 (4), 469–477. doi:10.1161/01.HYP.17.4.469

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, X. Q., and Zhang, L. (2021). Hypoxia and the integrated stress response promote pulmonary hypertension and preeclampsia: Implications in drug development. Drug Discov. Today 26 (11), 2754–2773. doi:10.1016/j.drudis.2021.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, K. P., Ronveaux, C. C., Knotts, T. A., Rutkowsky, J. R., Ramsey, J. J., and Raybould, H. E. (2020). Sex differences in response to short-term high fat diet in mice. Physiol. Behav. 221, 112894. doi:10.1016/j.physbeh.2020.112894

PubMed Abstract | CrossRef Full Text | Google Scholar

Huang, P. L., Huang, Z., Mashimo, H., Bloch, K. D., Moskowitz, M. A., Bevan, J. A., et al. (1995). Hypertension in mice lacking the gene for endothelial nitric oxide synthase. Nature 377 (6546), 239–242. doi:10.1038/377239a0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ilekis, J. V., Tsilou, E., Fisher, S., Abrahams, V. M., Soares, M. J., Cross, J. C., et al. (2016). Placental origins of adverse pregnancy outcomes: Potential molecular targets: An executive workshop summary of the Eunice Kennedy shriver national Institute of Child health and human development. Am. J. Obstet. Gynecol. 215 (1), S1–S46. doi:10.1016/j.ajog.2016.03.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Irani, R. A., and Xia, Y. (2008). The functional role of the renin-angiotensin system in pregnancy and preeclampsia. Placenta 29 (9), 763–771. doi:10.1016/j.placenta.2008.06.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Jansson, N., Rosario, F. J., Gaccioli, F., Lager, S., Jones, H. N., Roos, S., et al. (2013). Activation of placental mTOR signaling and amino acid transporters in obese women giving birth to large babies. J. Clin. Endocrinol. Metab. 98 (1), 105–113. doi:10.1210/jc.2012-2667

PubMed Abstract | CrossRef Full Text | Google Scholar

Jensen, D. M., Damm, P., Moelsted-Pedersen, L., Ovesen, P., Westergaard, J. G., Moeller, M., et al. (2004). Outcomes in type 1 diabetic pregnancies: A nationwide, population-based study. Diabetes Care 27 (12), 2819–2823. doi:10.2337/diacare.27.12.2819

PubMed Abstract | CrossRef Full Text | Google Scholar

Jeyabalan, A. (2013). Epidemiology of preeclampsia: Impact of obesity. Nutr. Rev. 71 (1), S18–S25. doi:10.1111/nure.12055

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnston, A. N., Batts, T. L., Langohr, I. M., Moeller, C., Liu, C. C., and Sones, J. L. (2021). The BPH/5 mouse model of superimposed preeclampsia is not a model of HELLP syndrome. Biology 10 (11), 1179. doi:10.3390/biology10111179

PubMed Abstract | CrossRef Full Text | Google Scholar

Kanasaki, K. (2018). Glucose intolerance and insulin resistance: Relevance in preeclampsia. Compr. Gynecol. Obstetrics 2018, 85–98. doi:10.1007/978-981-10-5891-2_5

CrossRef Full Text | Google Scholar

Kanda, E., Matsuda, Y., Makino, Y., and Matsui, H. (2012). Risk factors associated with altered fetal growth in patients with pregestational diabetes mellitus. J. Matern. Fetal Neonatal Med. 25 (8), 1390–1394. PMID: 22070854. doi:10.3109/14767058.2011.636096

PubMed Abstract | CrossRef Full Text | Google Scholar

Kaufman, M. R., Albers, R. E., Keoni, C., Kulkarni-Datar, K., Natale, D. R., and Brown, T. L. (2014). Important aspects of placental-specific gene transfer. Theriogenology 82 (7), 1043–1048. doi:10.1016/j.theriogenology.2014.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Kelly, A. C., Powell, T. L., and Jansson, T. (2020). Placental function in maternal obesity. Clin. Sci. 134 (8), 961–984. doi:10.1042/CS20190266

CrossRef Full Text | Google Scholar

Kim, D. W., Young, S. L., Grattan, D. R., and Jasoni, C. L. (2014). Obesity during pregnancy disrupts placental morphology, cell proliferation, and inflammation in a sex-specific manner across gestation in the mouse. Biol. Reprod. 90 (6), 130. doi:10.1095/biolreprod.113.117259

PubMed Abstract | CrossRef Full Text | Google Scholar

Kulandavelu, S., Whiteley, K. J., Bainbridge, S. A., Qu, D., and Adamson, S. L. (2013). Endothelial NO synthase augments fetoplacental blood flow, placental vascularization, and fetal growth in mice. Hypertension 61 (1), 259–266. doi:10.1161/HYPERTENSIONAHA.112.201996

PubMed Abstract | CrossRef Full Text | Google Scholar

Kulandavelu, S., Whiteley, K. J., Qu, D., Mu, J., Bainbridge, S. A., and Adamson, S. L. (2012). Endothelial nitric oxide synthase deficiency reduces uterine blood flow, spiral artery elongation, and placental oxygenation in pregnant mice. Hypertension 60 (1), 231–238. doi:10.1161/HYPERTENSIONAHA.111.187559

PubMed Abstract | CrossRef Full Text | Google Scholar

Kusinski, L. C., Stanley, J. L., Dilworth, M. R., Hirt, C. J., Andersson, I. J., Renshall, L. J., et al. (2012). eNOS knockout mouse as a model of fetal growth restriction with an impaired uterine artery function and placental transport phenotype. Am. J. Physiol. Regul. Integr. Comp. Physiol. 303 (1), R86–R93. doi:10.1152/ajpregu.00600.2011

PubMed Abstract | CrossRef Full Text | Google Scholar

Lager, S., Ramirez, V. I., Gaccioli, F., Jang, B., Jansson, T., and Powell, T. L. (2016). Protein expression of fatty acid transporter 2 is polarized to the trophoblast basal plasma membrane and increased in placentas from overweight/obese women. Placenta 40, 60–66. doi:10.1016/j.placenta.2016.02.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Laskowska, M. (2017). Altered maternal serum matrix metalloproteinases MMP-2, MMP-3, MMP-9, and MMP-13 in severe early- and late-onset preeclampsia. Biomed. Res. Int. 2017, 6432426. doi:10.1155/2017/6432426

PubMed Abstract | CrossRef Full Text | Google Scholar

Leaños-Miranda, A., Campos-Galicia, I., Méndez-Aguilar, F., Molina-Pérez, C. J., Ramírez-Valenzuela, K. L., Sillas-Pardo, L. J., et al. (2018). Lower circulating angiotensin II levels are related to the severity of preeclampsia and its risk as disclosed by a specific bioassay. Medicine 97 (39), e12498. doi:10.1097/MD.0000000000012498

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Wu, H., Liu, Y., and Yang, L. (2020). High fat diet induced obesity model using four strains of mice: Kunming, C57BL/6, BALB/c and ICR. Exp. Anim. 69 (3), 326–335. doi:10.1538/expanim.19-0148

PubMed Abstract | CrossRef Full Text | Google Scholar

Lisonkova, S., and Joseph, K. S. (2013). Incidence of preeclampsia: Risk factors and outcomes associated with early-versus late-onset disease. Am. J. Obstet. Gynecol. 209 (6), 544.e1–544544.e12. doi:10.1016/j.ajog.2013.08.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Lopez-Jaramillo, P., Barajas, J., Rueda-Quijano, S. M., Lopez-Lopez, C., and Felix, C. (2018). Obesity and preeclampsia: Common pathophysiological mechanisms. Front. Physiol. 9, 1838. doi:10.3389/fphys.2018.01838

PubMed Abstract | CrossRef Full Text | Google Scholar

Lyall, F., Young, A., and Greer, I. A. (1995). Nitric oxide concentrations are increased in the fetoplacental circulation in preeclampsia. Am. J. Obstet. Gynecol. 173 (3), 714–718. doi:10.1016/0002-9378(95)90328-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Maltepe, E., and Fisher, S. J. (2015). Placenta: The forgotten organ. Annu. Rev. Cell Dev. Biol. 31, 523–552. doi:10.1146/annurev-cellbio-100814-125620

PubMed Abstract | CrossRef Full Text | Google Scholar

Marshall, S. A., Hannan, N. J., Jelinic, M., Nguyen, T., Girling, J. E., and Parry, L. J. (2018). Animal models of preeclampsia: Translational failings and why. Am. J. Physiol. Regul. Integr. Comp. Physiol. 314, R499–R508. doi:10.1152/ajpregu.00355.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, J. A., Hamilton, B. E., Ventura, S. J., Osterman, M. J., Kirmeyer, S., Mathews, T. J., et al. (2011). Births: Final data for 2009. Natl. Vital Stat. Rep. 60 (1), 1–70. PMID: 24974591.

Google Scholar

Masuyama, H., and Hiramatsu, Y. (2012). Treatment with a constitutive androstane receptor ligand ameliorates the signs of preeclampsia in high-fat diet-induced obese pregnant mice. Mol. Cell Endocrinol. 348 (1), 120–127. doi:10.1016/j.mce.2011.07.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Masuyama, H., Mitsui, T., Maki, J., Tani, K., Nakamura, K., and Hiramatsu, Y. (2016). Dimethylesculetin ameliorates maternal glucose intolerance and fetal overgrowth in high-fat diet-fed pregnant mice via constitutive androstane receptor. Mol. Cell Biochem. 419 (1-2), 185–192. doi:10.1007/s11010-016-2772-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mayrink, J., Souza, R. T., Feitosa, F. E., Rocha Filho, E. A., Leite, D. F., Vettorazzi, J., et al. Preterm SAMBA study group (2019). Incidence and risk factors for preeclampsia in a cohort of healthy nulliparous pregnant women: A nested case-control study. Sci. Rep. 9 (1), 9517. doi:10.1038/s41598-019-46011-3

PubMed Abstract | CrossRef Full Text | Google Scholar

McCarthy, F. P., Kingdom, J. C., Kenny, L. C., and Walsh, S. K. (2011). Animal models of preeclampsia; uses and limitations. Placenta 32, 413–419. doi:10.1016/j.placenta.2011.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Medica, I., Kastrin, A., and Peterlin, B. (2007). Genetic polymorphisms in vasoactive genes and preeclampsia: A meta-analysis. Eur. J. Obstet. Gynecol. Reprod. Biol. 131 (2), 115–126. doi:10.1016/j.ejogrb.2006.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Moncada, S., and Higgs, A. (1993). The L-arginine-nitric oxide pathway. N. Engl. J. Med. 329 (27), 2002–2012. doi:10.1056/NEJM199312303292706

PubMed Abstract | CrossRef Full Text | Google Scholar

Montagnana, M., Lippi, G., Albiero, A., Scevarolli, S., Salvagno, G. L., Franchi, M., et al. (2009). Evaluation of metalloproteinases 2 and 9 and their inhibitors in physiologic and pre-eclamptic pregnancy. J. Clin. Lab. Anal. 23 (2), 88–92. doi:10.1002/jcla.20295

PubMed Abstract | CrossRef Full Text | Google Scholar

Muntner, P., Carey, R. M., Gidding, S., Jones, D. W., Taler, S. J., Wright, J. T., et al. (2018). Potential US population impact of the 2017 ACC/AHA high blood pressure guideline. Circulation 137 (2), 109–118. doi:10.1161/CIRCULATIONAHA.117.032582

PubMed Abstract | CrossRef Full Text | Google Scholar

Myatt, L., and Maloyan, A. (2016). Obesity and placental function. Semin. Reprod. Med. 34 (1), 42–49. doi:10.1055/s-0035-1570027

PubMed Abstract | CrossRef Full Text | Google Scholar

Nishikawa, S., Yasoshima, A., Doi, K., Nakayama, H., and Uetsuka, K. (2007). Involvement of sex, strain and age factors in high fat diet-induced obesity in C57BL/6J and BALB/cA mice. Exp. Anim. 56 (4), 263–272. doi:10.1538/expanim.56.263

PubMed Abstract | CrossRef Full Text | Google Scholar

Obstetrics and Gynecology (2020). Gestational hypertension and preeclampsia: ACOG Practice Bulletin, number 222. Obstetrics Gynecol. 135 (6), e237. doi:10.1097/AOG.0000000000003891

CrossRef Full Text | Google Scholar

Olson, K. N., Redman, L. M., and Sones, J. L. (2019). Obesity "complements" preeclampsia. Physiol. Genomics 51 (3), 73–76. doi:10.1152/physiolgenomics.00102.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Olson, K. N., Reijnders, D., Gomes, V., Hebert, R. C., Liu, C. C., Stephens, J. M., et al. (2020). Complement in reproductive white adipose tissue characterizes the obese preeclamptic-like BPH/5 mouse prior to and during pregnancy. Biology 9 (9), 304. doi:10.3390/biology9090304

PubMed Abstract | CrossRef Full Text | Google Scholar

Ornoy, A. (2011). Prenatal origin of obesity and their complications: Gestational diabetes, maternal overweight and the paradoxical effects of fetal growth restriction and macrosomia. Reprod. Toxicol. (Elmsford, N.Y.) 32 (2), 205–212. doi:10.1016/j.reprotox.2011.05.002

CrossRef Full Text | Google Scholar

Owusu Darkwa, E., Djagbletey, R., Sottie, D., Owoo, C., Vanderpuye, N. M., Essuman, R., et al. (2018). Serum nitric oxide levels in healthy pregnant women: A case-control study in a tertiary facility in Ghana. Matern. Health Neonatol. Perinatol. 4, 3. doi:10.1186/s40748-017-0072-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Plaks, V., Rinkenberger, J., Dai, J., Flannery, M., Sund, M., Kanasaki, K., et al. (2013). Matrix metalloproteinase-9 deficiency phenocopies features of preeclampsia and intrauterine growth restriction. Proc. Natl. Acad. Sci. U. S. A. 110 (27), 11109–11114. doi:10.1073/pnas.1309561110

PubMed Abstract | CrossRef Full Text | Google Scholar

Poon, L. C., Shennan, A., Hyett, J. A., Kapur, A., Hadar, E., Divakar, H., et al. (2019). The international federation of Gynecology and Obstetrics (FIGO) initiative on pre-eclampsia: A pragmatic guide for first-trimester screening and prevention. Int. J. Gynaecol. Obstet. 145 (1), 1–33. doi:10.1002/ijgo.12802

CrossRef Full Text | Google Scholar

Qi, H. P., Fraser, W. D., Luo, Z. C., Julien, P., Audibert, F., and Wei, S. Q. (2013). Endothelial nitric oxide synthase gene polymorphisms and risk of preeclampsia. Am. J. Perinatol. 30 (10), 795–804. doi:10.1055/s-0032-1333406

PubMed Abstract | CrossRef Full Text | Google Scholar

Qian, J., and Fulton, D. (2013). Post-translational regulation of endothelial nitric oxide synthase in vascular endothelium. Front. physiology 4, 347. doi:10.3389/fphys.2013.00347

CrossRef Full Text | Google Scholar

Quintero-Fabián, S., Arreola, R., Becerril-Villanueva, E., Torres-Romero, J. C., Arana-Argáez, V., Lara-Riegos, J., et al. (2019). Role of matrix metalloproteinases in angiogenesis and cancer. Front. Oncol. 9, 1370. doi:10.3389/fonc.2019.01370

PubMed Abstract | CrossRef Full Text | Google Scholar

Rana, S., Lemoine, E., Granger, J. P., and Karumanchi, S. A. (2019). Preeclampsia: Pathophysiology, challenges, and perspectives. Circ. Res. 124 (7), 1094–1112. doi:10.1161/CIRCRESAHA.118.313276

PubMed Abstract | CrossRef Full Text | Google Scholar

Raymond, D., and Peterson, E. (2011). A critical review of early-onset and late-onset preeclampsia. Obstet. Gynecol. Surv. 66 (8), 497–506. doi:10.1097/OGX.0b013e3182331028

PubMed Abstract | CrossRef Full Text | Google Scholar

Redman, C. W., Sargent, I. L., and Staff, A. C. (2014). IFPA senior award lecture: Making sense of pre-eclampsia - two placental causes of preeclampsia? Placenta 35, S20–S25. doi:10.1016/j.placenta.2013.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Reijnders, D., Olson, K. N., Liu, C. C., Beckers, K. F., Ghosh, S., Redman, L. M., et al. (2019). Dyslipidemia and the role of adipose tissue in early pregnancy in the BPH/5 mouse model for preeclampsia. Am. J. Physiol. Regul. Integr. Comp. Physiol. 317 (1), R49–R58. doi:10.1152/ajpregu.00334.2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, J. M., Bodnar, L. M., Patrick, T. E., and Powers, R. W. (2011). The role of obesity in preeclampsia. Pregnancy Hypertens. 1 (1), 6–16. doi:10.1016/j.preghy.2010.10.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, J. M., and Escudero, C. (2012). The placenta in preeclampsia. Pregnancy Hypertens. 2 (2), 72–83. doi:10.1016/j.preghy.2012.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Roberts, J. M., and Lain, K. Y. (1998). Preterm birth and pre-eclampsia—Bad news and good news. Lancet 352 (4), SIV22. PMID: 9872169. doi:10.1016/s0140-6736(98)90284-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Robillard, P. Y., Dekker, G., Scioscia, M., Bonsante, F., Iacobelli, S., Boukerrou, M., et al. (2019). Increased BMI has a linear association with late-onset preeclampsia: A population-based study. PLoS One 14 (10), e0223888. doi:10.1371/journal.pone.0223888

PubMed Abstract | CrossRef Full Text | Google Scholar

Saben, J., Lindsey, F., Zhong, Y., Thakali, K., Badger, T. M., Andres, A., et al. (2014). Maternal obesity is associated with a lipotoxic placental environment. Placenta 35 (3), 171–177. doi:10.1016/j.placenta.2014.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Salzer, L., Tenenbaum-Gavish, K., and Hod, M. (2015). Metabolic disorder of pregnancy (understanding pathophysiology of diabetes and preeclampsia). Best Pract. Res. Clin. Obstetrics Genaecology 29, 328–338. doi:10.1016/j.bpobgyn.2014.09.008

CrossRef Full Text | Google Scholar

Santos, P. C., Krieger, J. E., and Pereira, A. C. (2012). Renin-angiotensin system, hypertension, and chronic kidney disease: Pharmacogenetic implications. J. Pharmacol. Sci. 120 (2), 77–88. doi:10.1254/jphs.12r03cr

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlager, G., and Sides, J. (1997). Characterization of hypertensive and hypotensive inbred strains of mice. Laboratory Animal Sci. 47 (3), 288–292. PMID: 9241632.

Google Scholar

Schneider, H. (2017). Placental dysfunction as a key element in the pathogenesis of preeclampsia. Dev. Period Med. 21 (4), 309–316. doi:10.34763/devperiodmed.20172104.309316

PubMed Abstract | CrossRef Full Text | Google Scholar

Scioscia, M., Gumaa, K., and Rademacher, T. W. (2009). The link between insulin resistance and preeclampsia: New perspectives. J. Reprod. Immunol. 82 (2), 100–105. doi:10.1016/j.jri.2009.04.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Seely, E. W., and Ecker, J. (2014). Chronic hypertension in pregnancy. Circulation 129 (11), 1254–1261. doi:10.1161/CIRCULATIONAHA.113.003904

PubMed Abstract | CrossRef Full Text | Google Scholar

Seligman, S. P., Buyon, J. P., Clancy, R. M., Young, B. K., and Abramson, S. B. (1994). The role of nitric oxide in the pathogenesis of preeclampsia. Am. J. Obstet. Gynecol. 171 (4), 944–948. doi:10.1016/s0002-9378(94)70064-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Shah, D. M., Banu, J. M., Chirgwin, J. M., and Tekmal, R. R. (2000). Reproductive tissue renin gene expression in preeclampsia. Hypertens. Pregnancy 19 (3), 341–351. doi:10.1081/prg-100101996

PubMed Abstract | CrossRef Full Text | Google Scholar

Shesely, E. G., Gilbert, C., Granderson, G., Carretero, C. D., Carretero, O. A., and Beierwaltes, W. H. (2001). Nitric oxide synthase gene knockout mice do not become hypertensive during pregnancy. Am. J. Obsyey Gynecol. 185 (5), 1198–1203. doi:10.1067/mob.2001.118142

CrossRef Full Text | Google Scholar

Shesely, E. G., Maeda, N., Kim, H. S., Desai, K. M., Krege, J. H., Laubach, V. E., et al. (1996). Elevated blood pressures in mice lacking endothelial nitric oxide synthase. Proc. Natl. Acad. Sci. U. S. A. 93 (23), 13176–13181. doi:10.1073/pnas.93.23.13176

PubMed Abstract | CrossRef Full Text | Google Scholar

Shub, A. (2020). Diabetes and pregnancy. Aust. N. Z. J. Obstet. Gynaecol. 60 (6), 829–830. doi:10.1111/ajo.13275

PubMed Abstract | CrossRef Full Text | Google Scholar

Shub, A., and Lappas, M. (2020). Pregestational diabetes in pregnancy: Complications, management, surveillance, and mechanisms of disease - a review. Prenat. Diagn 40 (9), 1092–1098. doi:10.1002/pd.5718

PubMed Abstract | CrossRef Full Text | Google Scholar

Sibai, B. M. (2006). Preeclampsia as a cause of preterm and late preterm (near-term) births. Semin. Perinatol. 30 (1), 16–19. doi:10.1053/j.semperi.2006.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sigmund, C. D., Jones, C. A., Kane, C. M., Wu, C., Lang, J. A., and Gross, K. W. (1992). Regulated tissue- and cell-specific expression of the human renin gene in transgenic mice. Circ. Res. 70 (5), 1070–1079. doi:10.1161/01.res.70.5.1070

PubMed Abstract | CrossRef Full Text | Google Scholar

Silva, J. F., and Serakides, R. (2016). Intrauterine trophoblast migration: A comparative view of humans and rodents. Cell Adh Migr. 10 (1-2), 88–110. doi:10.1080/19336918.2015.1120397

PubMed Abstract | CrossRef Full Text | Google Scholar

Smárason, A. K., Allman, K. G., Young, D., and Redman, C. W. (1997). Elevated levels of serum nitrate, a stable end product of nitric oxide, in women with pre-eclampsia. Br. J. Obstet. Gynaecol. 104 (5), 538–543. doi:10.1111/j.1471-0528.1997.tb11528.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Soares, M. J., Varberg, K. M., and Iqbal, K. (2018). Hemochorial placentation: Development, function, and adaptations. Biol. Reprod. 99, 196–211. doi:10.1093/biolre/ioy049

PubMed Abstract | CrossRef Full Text | Google Scholar

Soncin, F., Natale, D., and Parast, M. M. (2015). Signaling pathways in mouse and human trophoblast differentiation: A comparative review. Cell. Mol. Life Sci. 72, 1291–1302. doi:10.1007/s00018-014-1794-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sones, J. L., and Davisson, R. L. (2016). Preeclampsia, of mice and women. Physiol. genomics 48 (8), 565–572. doi:10.1152/physiolgenomics.00125.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Sones, J. L., Merriam, A. A., Seffens, A., Brown-Grant, D. A., Butler, S. D., Zhao, A. M., et al. (2018). Angiogenic factor imbalance precedes complement deposition in placentae of the BPH/5 model of preeclampsia. FASEB 32 (5), 2574–2586. doi:10.1096/fj.201701008R

CrossRef Full Text | Google Scholar

Sones, J. L., Yarborough, C. C., O'Besso, V., Lemenze, A., and Douglas, N. C. (2021). Genotypic analysis of the female BPH/5 mouse, a model of superimposed preeclampsia. PloS One 16 (7), e0253453. doi:10.1371/journal.pone.0253453

PubMed Abstract | CrossRef Full Text | Google Scholar

Spaan, J. J., and Brown, M. B. (2012). Renin-angiotensin system in pre-eclampsia: Everything old is new again. Obstet. Med. 5 (4), 147–153. doi:10.1258/om.2012.120007

PubMed Abstract | CrossRef Full Text | Google Scholar

Spradley, F. T., Palei, A. C., and Granger, J. P. (2015a). Immune mechanisms linking obesity and preeclampsia. Biomolecules 5 (4), 3142–3176. doi:10.3390/biom5043142

PubMed Abstract | CrossRef Full Text | Google Scholar

Spradley, F. T., Palei, A. C., and Granger, J. P. (2015b). Increased risk for the development of preeclampsia in obese pregnancies: Weighing in on the mechanisms. Am. J. Physiol. Regul. Integr. Comp. Physiol. 309 (11), R1326–R1343. doi:10.1152/ajpregu.00178.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Staff, A. C., and Redman, C. W. G. (2018). The differences between early- and late-onset pre-eclampsia. Preeclampsia. Compr. Gynecol. Obstetrics 1, 157–172. doi:10.1007/978-981-10-5891-2_10

CrossRef Full Text | Google Scholar

Staun-Ram, E., Goldman, S., Gabarin, D., and Shalev, E. (2004). Expression and importance of matrix metalloproteinase 2 and 9 (MMP-2 and -9) in human trophoblast invasion. Reprod. Biol. Endocrinol. 2, 59. doi:10.1186/1477-7827-2-59

PubMed Abstract | CrossRef Full Text | Google Scholar

Stevens, W., Shih, T., Incerti, D., Ton, T. G. N., Lee, H. C., Peneva, D., et al. (2017). Short-term costs of preeclampsia to the United States health care system. Am. J. Obstet. Gynecol. 217 (3), 237–248.e16. doi:10.1016/j.ajog.2017.04.032

PubMed Abstract | CrossRef Full Text | Google Scholar

Sugrue, R., and Zera, C. (2018). Pregestational diabetes in pregnancy. Obstet. Gynecol. Clin. N. Am. 45, 315–331. doi:10.1016/j.ogc.2018.01.002

CrossRef Full Text | Google Scholar

Sutton, E. F., Lob, H. E., Song, J., Xia, Y., Butler, S., Liu, C. C., et al. (2017). Adverse metabolic phenotype of female offspring exposed to preeclampsia in utero: A characterization of the BPH/5 mouse in postnatal life. Am. J. Physiol. Regul. Integr. Comp. Physiol. 312 (4), R485–R491. doi:10.1152/ajpregu.00512.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Takimoto, E., Ishida, J., Sugiyama, F., Horiguchi, H., Murakami, K., and Fukamizu, A. (1996). Hypertension induced in pregnant mice by placental renin and maternal angiotensinogen. Science 274 (5289), 995–998. doi:10.1126/science.274.5289.995

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanner, M. S., Malhotra, A., Davey, M. A., Wallace, E. M., Mol, B. W., and Palmer, K. R. (2022). Maternal and neonatal complications in women with medical comorbidities and preeclampsia. Pregnancy Hypertens. 27, 62–68. doi:10.1016/j.preghy.2021.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Te Riet, L., van Esch, J. H., Roks, A. J., van den Meiracker, A. H., and Danser, A. H. (2015). Hypertension: Renin-angiotensin-aldosterone system alterations. Circulation Res. 116 (6), 960–975. doi:10.1161/CIRCRESAHA.116.303587

PubMed Abstract | CrossRef Full Text | Google Scholar

Tenenbaum-Gavish, K., and Hod, M. (2013). Impact of maternal obesity on fetal health. Fetal diagnosis Ther. 34 (1), 1–7. doi:10.1159/000350170

CrossRef Full Text | Google Scholar

Timokhina, E., Strizhakov, A., Ibragimova, S., Gitel, E., Ignatko, I., Belousova, V., et al. (2020). Matrix metalloproteinases MMP-2 and MMP-9 occupy a new role in severe preeclampsia. J. Pregnancy 2020, 8369645. doi:10.1155/2020/8369645

PubMed Abstract | CrossRef Full Text | Google Scholar

Topel, M. L., Duncan, E. M., Krishna, I., Badell, M. L., Vaccarino, V., and Quyyumi, A. A. (2018). Estimated impact of the 2017 American College of Cardiology/American Heart Association blood pressure guidelines on reproductive-aged women. Hypertension 72 (4), e39–e42. doi:10.1161/HYPERTENSIONAHA.118.11660

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaughan, O. R., Maksym, K., Silva, E., Barentsen, K., Anthony, R. V., Brown, T. L., et al. (2021). Placenta-specific Slc38a2/SNAT2 knockdown causes fetal growth restriction in mice. Clin. Sci. (Lond). 135 (17), 2049–2066. doi:10.1042/CS20210575

PubMed Abstract | CrossRef Full Text | Google Scholar

von Lutterotti, N., Catanzaro, D. F., Sealey, J. E., and Laragh, J. H. (1994). Renin is not synthesized by cardiac and extrarenal vascular tissues: A review of experimental evidence. Circulation 89 (1), 458–470. doi:10.1161/01.cir.89.1.458

PubMed Abstract | CrossRef Full Text | Google Scholar

Vu, T. H., Shipley, J. M., Bergers, G., Berger, J. E., Helms, J. A., Hanahan, D., et al. (1998). MMP-9/gelatinase B is a key regulator of growth plate angiogenesis and apoptosis of hypertrophic chondrocytes. Cell 93 (3), 411–422. doi:10.1016/s0092-8674(00)81169-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Waker, C. A., Kaufman, M. R., and Brown, T. L. (2021). Current state of preeclampsia mouse models: Approaches, relevance, and standardization. Front. Physiol. 12, 681632. doi:10.3389/fphys.2021.681632

PubMed Abstract | CrossRef Full Text | Google Scholar

Wallace, J. G., Bellissimo, C. J., Yeo, E., Fei Xia, Y., Petrik, J. J., Surette, M. G., et al. (2019). Obesity during pregnancy results in maternal intestinal inflammation, placental hypoxia, and alters fetal glucose metabolism at mid-gestation. Sci. Rep. 9 (1), 17621. doi:10.1038/s41598-019-54098-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., and Beydoun, M. A. (2007). The obesity epidemic in the United States--gender, age, socioeconomic, racial/ethnic, and geographic characteristics: A systematic review and meta-regression analysis. Epidemiol. Rev. 29, 6–28. doi:10.1093/epirev/mxm007

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, Y., Gu, Y., Loyd, S., Jia, X., and Groome, L. J. (2015). Increased urinary levels of podocyte glycoproteins, matrix metallopeptidases, inflammatory cytokines, and kidney injury biomarkers in women with preeclampsia. Am. J. Physiol. Ren. Physiol. 309 (12), F1009–F1017. doi:10.1152/ajprenal.00257.2015

CrossRef Full Text | Google Scholar

Weir, R. J., Brown, J. J., Fraser, R., Kraszewski, A., Lever, A. F., McIlwaine, G. M., et al. (1973). Plasma renin, renin substrate, angiotensin II, and aldosterone in hypertensive disease of pregnancy. Lancet 1 (7798), 291–294. doi:10.1016/s0140-6736(73)91540-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Yallampalli, C., and Garfield, R. E. (1993). Inhibition of nitric oxide synthesis in rats during pregnancy produces signs similar to those of preeclampsia. Am. J. Obstet. Gynecol. 169 (5), 1316–1320. doi:10.1016/0002-9378(93)90299-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Yogev, Y., and Catalano, P. M. (2009). Pregnancy and obesity. Obstet. Gynecol. Clin. North Am. 36 (2), 285–300viii. doi:10.1016/j.ogc.2009.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, S., Mesalam, A., Joo, M. D., Lee, K. L., Hwang, J. Y., Xu, L., et al. (2020). Matrix metalloproteinases improves trophoblast invasion and pregnancy potential in mice. Theriogenology 151, 144–150. doi:10.1016/j.theriogenology.2020.02.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Li, P., Guo, Y., Liu, X., and Zhang, Y. (2019). MMP-9 and TIMP-1 in placenta of hypertensive disorder complicating pregnancy. Exp. Ther. Med. 18 (1), 637–641. doi:10.3892/etm.2019.7591

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: preeclampsia, diabetes, obesity, hypertension, comorbidity, mouse model

Citation: Waker CA, Hwang AE, Bowman-Gibson S, Chandiramani CH, Linkous B, Stone ML, Keoni CI, Kaufman MR and Brown TL (2023) Mouse models of preeclampsia with preexisting comorbidities. Front. Physiol. 14:1137058. doi: 10.3389/fphys.2023.1137058

Received: 04 January 2023; Accepted: 17 March 2023;
Published: 06 April 2023.

Edited by:

Stephen C. Land, University of Dundee, United Kingdom

Reviewed by:

Lisa Akison, The University of Queensland, Australia
Ramón A. Lorca, University of Colorado Anschutz Medical Campus, United States

Copyright © 2023 Waker, Hwang, Bowman-Gibson, Chandiramani, Linkous, Stone, Keoni, Kaufman and Brown. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Thomas L. Brown, thomas.L.brown@wright.edu

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