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Review Open Access | 10.1172/JCI198808

Cardiovascular complications of pregnancy

Yijun Yang,1 Jennifer Lewey,2 and Zoltan Arany1

1Cardiovascular Institute, and

2Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Address correspondence to: Zoltan Arany, 11th floor Smilow Translational Research Center, 34th and Civic Center Blvd, Philadelphia, Pennsylvania 19014, USA. Email: zarany@pennmedicine.upenn.edu.

Find articles by Yang, Y. in: PubMed | Google Scholar

1Cardiovascular Institute, and

2Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Address correspondence to: Zoltan Arany, 11th floor Smilow Translational Research Center, 34th and Civic Center Blvd, Philadelphia, Pennsylvania 19014, USA. Email: zarany@pennmedicine.upenn.edu.

Find articles by Lewey, J. in: PubMed | Google Scholar

1Cardiovascular Institute, and

2Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Address correspondence to: Zoltan Arany, 11th floor Smilow Translational Research Center, 34th and Civic Center Blvd, Philadelphia, Pennsylvania 19014, USA. Email: zarany@pennmedicine.upenn.edu.

Find articles by Arany, Z. in: PubMed | Google Scholar |

Published January 2, 2026 - More info

Published in Volume 136, Issue 1 on January 2, 2026
J Clin Invest. 2026;136(1):e198808. https://doi.org/10.1172/JCI198808.
© 2026 Yang et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published January 2, 2026 - Version history
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Abstract

The maternal cardiovascular system undergoes dramatic remodeling in response to the stresses of pregnancy. Although in most cases these changes are temporary and well tolerated, in others they can give rise to complications, including cardiomyopathy, coronary artery disease, and hypertensive cardiovascular disease. Despite an increasing number of preclinical models to study these diseases, specific treatments for any of these pregnancy complications are lacking. As the maternal mortality rate is rising in the United States, it is critical to understand the molecular mechanisms driving cardiovascular changes during pregnancy, and the pathology that can result.

Introduction

Pregnancy is accompanied by a series of physiological adaptations to sustain fetal growth while maintaining maternal homeostasis. The maternal heart undergoes physiological remodeling to cope with the increase in maternal blood volume and cardiac output (1–7). Cardiac wall thickness and cardiac mass increase in parallel without overt cardiac dysfunction (2–5, 8). In addition to these dramatic hemodynamic changes, pregnancy is also accompanied by numerous hormonal changes and metabolic adaptation. While most healthy individuals undergo these changes without complications, pregnancy can unmask or exacerbate underlying cardiovascular conditions, leading to serious maternal morbidity and mortality.

Over the last few decades, the reported maternal mortality rate (MMR) in the United States has been steadily increasing (9), in contrast to the declining rates observed among other high-income countries (10, 11). Part of this apparent rise in MMR in the United States since the early 2000s may reflect changes in surveillance methodology, particularly the implementation of the pregnancy checkbox on death certificates (12), which can increase the identification of maternal deaths, especially indirect obstetrical deaths (13). However, from 2018 to 2022, after full adoption of the pregnancy checkbox, the maternal mortality rate in the United States continued to increase from 17.4 to 22.3 deaths per 100,000 births, with a temporary spike to 32.9 deaths per 100,000 births in 2021, likely partly due to the COVID-19 pandemic (14). Moreover, while MMR captures maternal death during pregnancy and within 42 days postpartum, most pregnancy-related deaths occur between 42 days and 1 year postpartum (15). MMR in the United States also exhibits marked disparities by race and ethnicity, socioeconomic status, and geography. Non-Hispanic Black and American Indian/Alaska Native women experience a mortality rate that is at least two times higher than non-Hispanic White women (16). Cardiovascular diseases, including cardiomyopathy, coronary artery disease, hypertensive cardiovascular disease, and congenital heart diseases, are the leading cause of pregnancy-related deaths directly linked to pregnancy complications, especially among Black women (15, 16). Importantly, pregnancy complications, such as preeclampsia and gestational hypertension, are also strongly associated with long-term cardiovascular disease risk factors (17–21). These facts highlight an urgent need for a better understanding of cardiovascular complications during pregnancy.

This Review explores the physiological stresses of pregnancy, including hemodynamic, metabolic, vascular, hematologic, and renal adaptations. We also summarize the common acute cardiovascular complications that arise from the physiological stresses of pregnancy, such as preeclampsia, peripartum cardiomyopathy, pregnancy-associated aortic dissection, thromboembolism, and pregnancy-related spontaneous coronary artery dissection (SCAD) (Figure 1), and we explore the current understanding on their pathophysiology (Table 1). Congenital heart diseases and other preexisting cardiovascular diseases such arrhythmias, valvular disease, and chronic hypertension, also contribute to cardiovascular morbidity in pregnancy, but these preexisting conditions are beyond the scope of the current discussion and are covered in other comprehensive reviews (22–25).

Cardiovascular complications of pregnancy.Figure 1

Cardiovascular complications of pregnancy. Cardiovascular diseases are the leading cause of pregnancy-related death in the United States.

Table 1

Cardiovascular complications during pregnancy

Physiology of cardiovascular changes during pregnancy

Hemodynamic changes. Hemodynamic changes during human pregnancy have been well characterized. The elevated hemodynamic burden starts in early pregnancy and peaks around 32 weeks of gestation. Plasma volume increases by 40%, with a milder increase in red blood cell volume, leading to an increase of total blood volume (26–29). Concurrently, systemic vascular resistance (SVR) decreases beginning in early pregnancy (5, 8, 30, 31), and blood pressure falls mildly, typically by about 5–8 mmHg (32–34). The regulation of SVR and blood pressure during gestation is complex. Vasodilation is in part driven by pregnancy-related hormones such as relaxin, progesterone, and estrogen (33, 35). At the same time, the volume-expanding and vasoconstrictive renal renin-angiotensin-aldosterone system (RAAS) is also activated, including elevated levels of angiotensin-converting enzyme (ACE), angiotensin (Ang) II, ACE2, and Ang-(1-7) (36). However, simultaneous resistance to this vasoconstrictive program also occurs, in part due to the development of insensitivity to Ang II (37–39) and due to the vasodilatory ACE II/Ang-(1-7) axis of the RAAS system (40). On balance, therefore, the activation of RAAS supports sodium and water retention and expands plasma volume while maintaining relatively low SVR and blood pressure. The subsequent increase in cardiac preload and decreased afterload, along with a concurrent rise in maternal heart rate, leads to a 15%–30% increase in stroke volume and a 20%–50% increase in cardiac output (CO), from roughly 4 L/min to 6 L/min (1–8, 30, 41, 42). The uterine artery flow reaches approximately 800 mL/min at term (43), accounting for approximately 10% of total maternal CO and roughly 40% of the gestational rise in CO. The remaining increase in CO is likely distributed to other maternal organs, underscoring that pregnancy induces systemic circulatory adaptations beyond the uteroplacental unit. Monochorionic twin pregnancies drive higher maternal CO, peaking earlier in the second trimester and likely driven by accelerated placental growth, but interestingly dichorionic twin pregnancies follow a more gradual increase akin to singleton pregnancies (44, 45).

Cardiac structural adaptations. In adaptation to this volume overload, left ventricle (LV) mass increases 10%–40% (7, 8, 46, 47), with an increase in LV end-diastolic and end-systolic chamber volumes and wall thickness, consistent with an eccentric hypertrophy phenotype (8). Animal studies demonstrate that the LV hypertrophy during pregnancy lacks cardiomyocyte cross-sectional hypertrophy, fibrosis accumulation, or fetal gene activation, distinguishing it from pathological hypertrophy induced by other insults (48–50). Cardiac function during pregnancy has been characterized both in human (2–4, 8, 51, 52) and animal models (48, 50, 53, 54), with variability observed within each. Studies with serial echocardiography performed throughout pregnancy have reported inconsistent findings on conventional cardiac function diameters such as ejection fraction, fractional shortening, velocity of circumferential fiber shortening (VcFc), and E/A ratio. While some report no meaningful change in systolic function during pregnancy (3, 8, 42), others suggest a mild reduction in cardiac contractility (2, 4, 36, 46, 48). In addition, several studies observed LV diastolic dysfunction and impaired myocardial relaxation in late pregnancy, which improves postpartum (2, 46, 47). Speckle-tracking echocardiography assesses subclinical changes in LV function and demonstrates a transient decrease in LV deformation (strain) in late pregnancy (8). Despite these variations, the common conclusion is that overall cardiac function remains within the normal range during pregnancy. Pregnancy-related changes in hemodynamic parameters and cardiac structures return to prepregnancy levels as early as 8 weeks postpartum in individuals with uncomplicated pregnancies (4, 41, 46). However, emerging evidence from small clinical studies suggest that in pregnancies with preexisting cardiovascular risk factors, such as obesity, there is a higher chance of persistent subtle cardiac diastolic dysfunction and impaired myocardial deformation (55, 56). Larger, well-controlled studies are needed to confirm these findings.

Metabolism. Pregnancy is accompanied with profound systemic metabolic changes to support the growing needs of the fetus, affecting metabolites including lipoproteins, fatty acids, amino acids, and glucose (57). These metabolic adaptations are dynamic, varying across trimesters and different maternal organs. Early pregnancy is considered an anabolic stage, gradually switching to a largely catabolic state at late pregnancy (1, 58). A major metabolic alteration during pregnancy is the development of insulin resistance. Despite this insulin resistance, by the third trimester, maternal circulating glucose levels drop, reflecting the large fetal consumption of glucose (58, 59). Increased insulin resistance also leads to increased lipolysis in adipose tissue, leading to higher triglycerides, LDL and HDL cholesterol levels in maternal circulation (57, 58, 60, 61), which peak and can reach atherogenic levels in late pregnancy (62). In the maternal heart, there is a fuel preference switch from glucose toward fatty acids during pregnancy, demonstrated largely in rodent models (63–65). This metabolic switch is PDK4 dependent and controlled by hormones such as progesterone and FGF21 (66, 67). Cardiac metabolic remodeling begins as early as the first trimester and persists throughout pregnancy (68). Although the heart can normally use a wide range of substrates to meet its high metabolic demands, fatty acids are highly favored during pregnancy, which may reduce cardiac energy efficiency and increase the vulnerability to pathological insult.

Hematologic, vascular, and renal adaptations. In addition to erythropoiesis, pregnancy also leads to a hypercoagulable state beginning in the first trimester, with greatly increased concentration and activity of procoagulant factors such as factor V, VII, VIII, X, von Willebrand factor, and fibrinogen, and decreased activity of anticoagulants such as antithrombin, fibrinolysis, and protein S (69, 70). This prothrombotic shift is largely driven by the sharp increase in estrogen and progesterone levels, which regulate the hepatic synthesis of procoagulant factors. The placenta also contributes antifibrinolytic influences by producing and secreting, from trophoblasts into maternal circulation, antifibrinolytic proteins such as plasminogen activator inhibitors 1 and 2 (71, 72). At the same time, the first-trimester placenta generates a localized profibrinolytic milieu through expression of tissue plasminogen activator, activated protein C, and other mediators (73, 74), likely important for placental growth but limited to the placenta. This dynamic balance between pro- and antifibrinolytic influences across pregnancy help ensure adequate uteroplacental blood flow while preventing excessive hemorrhage at delivery. However, these adaptations can also lead to increased risk of pregnancy-associated thromboembolic complications (75, 76).

Beyond the systemic vascular resistance change and RAAS activation discussed earlier, pregnancy also leads to additional vascular adaptations, most notably angiogenesis. Angiogenesis is particularly robust in the uterus during implantation and placental development, dramatically reducing vascular resistance in uteroplacental circulation, and thus shunting blood to the uterus and placenta. Pregnancy-associated angiogenesis also occurs in the maternal heart (49, 77), where increased vascular density may help accommodate the cardiac hypertrophy and enhanced workload.

Throughout pregnancy, the decrease in vascular resistance in kidney leads to an increase in renal plasma flow by 75% and glomerular filtration rate by 40%–50% (78, 79). Tubular handling of wastes and nutrients is also affected, leading to glucosuria, proteinuria, and decreased serum sodium levels (79–81). In addition to hydronephrosis, pregnancy also induces an increase in kidney volume (82), both of which contribute to kidney enlargement. Animal studies have also demonstrated an increase in kidney weight during pregnancy, but knowledge of the associated structural changes and molecular mechanisms remain limited. One study found early- to mid-pregnancy increases in the percentage of Bowman’s capsule in renal cortex (83). Another study suggested that structural changes that occur in the kidney during late pregnancy (E16 in mice) are prominent within renal medulla, with an increase in interstitial cellular constituents and cell proliferation in the glomeruli (84). Further studies are needed to better characterize the structural changes and molecular mechanisms underlying pregnancy-induced renal adaptations.

These physiological and systematic adaptations to pregnancy are necessary to maintain normal maternal function and support fetal development. However, the profound and complex changes in hormones, hemodynamics, metabolism, hematology, and vasculature during pregnancy also put women at higher risk for pregnancy-related complications. Importantly, these complications often arise from disturbances across multiple systems rather than a single pathway, reflecting the integrated nature of pregnancy physiology. While the contribution of individual factors to disease onset remains undefined, certain populations, including women with multiple gestations, advanced maternal age, or preexisting cardiovascular risk, are predictably more vulnerable. The specific mechanisms linking physiologic changes to adverse outcomes, and the populations at greatest risk, remain incompletely understood and represent important gaps in current knowledge, as outlined below.

Cardiovascular complications of pregnancy

Preeclampsia and gestational hypertension. Preeclampsia and gestational hypertension (GH) are forms of new-onset hypertension that develop after 20 weeks of gestation, emerging in contrast to the normal trajectory of declining blood pressure during early pregnancy. Preeclampsia is distinguished from GH by the presence of proteinuria or other signs of end-organ damage, such as pulmonary edema, thrombocytopenia, or liver dysfunction (85). It is unclear whether preeclampsia and GH share the same etiology (86), although both conditions are associated with similar risk factors, including obesity, multiple pregnancy, and history of prior preeclamptic pregnancies.

Preeclampsia impacts 3%–8% of all pregnancies and is increasing in prevalence (87). Women who develop preeclampsia are at greater risk of maternal death, severe maternal morbidity, preterm birth, fetal growth restriction, and fetal and neonatal death (88). Most cases of preeclampsia are diagnosed near term (≥37 weeks’ gestation); the smaller proportion of cases diagnosed preterm are associated with greater maternal and fetal adverse outcomes. Severe forms of preeclampsia include HELLP syndrome, characterized by hemolysis, elevated liver enzymes, low platelet counts, and eclampsia, which is diagnosed in the setting of new-onset seizure. Notably, eclampsia may occur prior to the development of hypertension or other signs of preeclampsia. Twin pregnancies are associated with earlier onset and more severe manifestations of preeclampsia than singleton pregnancies (89).

The underlying pathogenesis of both preterm and term preeclampsia remains incompletely understood, but the placenta is thought to play a major role in the initiation of disease. Current understanding of the diseases comprises both placental and maternal dysfunction, with a central role of dysfunctional placental syncytiotrophoblasts (STBs), the major cellular interface between maternal and placental circulations (90). A “two-stage” model of preeclampsia proposes an initial stage of stressed STB that aberrantly secretes proinflammatory cytokines, reactive oxygen species, and antiangiogenic agents (such as soluble fms-like tyrosine kinase-1 [sFLT-1]) to the maternal circulation (91). These factors lead to a consequent stage of maternal maladaptation by promoting systemic inflammation, impaired vasodilation, and endothelial dysfunction (88, 90). Notably, the mechanisms of preeclampsia likely differ between preterm and term diseases, reflected in different anatomopathological featuresh of the placenta (92). Preterm preeclampsia is marked by malplacentation, which leads to placental malperfusion, causing STB dysfunction. Term preeclampsia, in contrast, is accompanied with fewer placental morphological changes (93). Proposed mechanisms for term preeclampsia include (a) the placenta outgrowing uterine capacity in late gestation, inducing STB stress (placental origin); and (b) preexisting cardiovascular risk factors such as obesity, or maternal genetic predisposition to hypertension (or preexisting hypertension), contributing to preeclampsia even with a healthy placenta (maternal origin) (94, 95). However, it remains unclear how risk factors such as obesity and chronic hypertension integrate into current pathogenic models, including whether they act through exacerbated hemodynamic load.

Low-dose aspirin has emerged as the only widely recommended pharmacologic intervention for the prevention of preeclampsia in high-risk women (34). Clinical trials have shown that aspirin, when initiated before 16 weeks of gestation, can reduce the incidence of preterm preeclampsia and related adverse outcomes (96), likely by modulating prostacyclin-thromboxane balance and its downstream effects on placentation, angiogenesis and inflammation. Nevertheless, aspirin prophylaxis does not fully eliminate risk, particularly for later-onset disease. Continued development and refinement of animal models are essential to dissect pathogenic mechanisms and identify additional therapeutic targets. But the complexity and heterogeneity of the diseases make it challenging to develop a reliable animal model to fully recapitulate the disease. Table 2 summarizes validated animal models currently used to study the pathophysiology of preeclampsia.

Table 2

Animal models of preeclampsia

In summary, various animal models greatly contribute to the understanding of the diseases, including pathophysiology, predictive biomarkers, novel therapies, and long-term cardiovascular effects. However, none of the current animal models fully recapitulate human preeclampsia and they are limited by (a) the fact that very few animal models develop severe phenotypes such as HELLP and eclampsia (97, 98); (b) model animals such as rodents have distinct reproductive system anatomy and pregnancy physiology, with for example more shallow placentation than humans, or lacking the expression of all the isoforms of sFLT-1 that are expressed in human; (c) most animal studies do not replicate the primary event of abnormal placentation, thus limiting the ability to test potential therapies targeting early placentation; and (d) additional confounding factors such as multiparous pregnancies in rodents and variable fetal genotypes in genetic models, which add complexity and limit generalizability.

Peripartum cardiomyopathy. Peripartum cardiomyopathy (PPCM) is an uncommon but potentially fatal cardiovascular complication of pregnancy. PPCM is diagnosed in the setting of heart failure with LV systolic dysfunction (LV ejection fraction <45%) that occurs towards the end of pregnancy or within several months after delivery, in the absence of other known cause of heart failure (99). Most commonly, PPCM is diagnosed within the first week of delivery, although delayed diagnosis is common, especially among Black women (100). PPCM occurs in an estimated 1 in 2,000 births, although regional variation exists. At least one-third of cases of PPCM are accompanied by preeclampsia, and risk factors for PPCM are similar to those for preeclampsia, suggesting common pathogenesis. In a prospective North American registry of 100 patients with PPCM, the majority recovered myocardial function after 1 year, but 13% experienced death, heart transplant, or persistent severe cardiomyopathy (101).

The etiology of PPCM remains poorly understood. There are several hypothesized mechanisms of PPCM, including (a) hemodynamic stress, (b) viral myocarditis, (c) nutrition deficiency, (d) autoimmune disease, and (e) hormonal factors. The first of these, i.e., that the heart fails to respond to the stress of dramatic hemodynamic changes during pregnancy or that PPCM is an exacerbation of the mild cardiac dysfunction in late pregnancy (102), fits poorly with the typical timing of PPCM presentation after delivery, when the hemodynamic parameters are returning to baseline level. Viral myocarditis was proposed in the 1990s upon finding histological myocarditis in 78% of PPCM biopsies from 18 patients (103), but subsequent studies have yielded conflicting results, reporting a much lower incidence of myocarditis (104), and similar incidence of virus genomes in both PPCM and healthy control biopsies (105, 106). Modern techniques using cardiovascular magnetic resonance and late gadolinium enhancement (LGE) imaging to evaluate myocarditis in PPCM patients have reported incidences that vary dramatically, from as high as 77% (107) to as low as 7.5% (108). This striking disparity in both histology and LGE findings raises doubt on the consistency and validity of myocarditis as a central pathogenic mechanism in PPCM. Nutrition deficiency, specifically selenium, has been suggested as a possible risk and therapeutic target for PPCM in certain parts of Africa (109, 110). However, selenium supplementation failed to show therapeutic benefit in PPCM patients in Haiti (111). The hypothesis that PPCM is an organ-specific autoimmune response due to defective fetal-placental allograft tolerance during pregnancy is based on findings that PPCM patients have high titers of autoantibodies and altered immune profile (112). Additionally, a 1999 study showed that the administration of immunoglobulin, an immunomodulator, improved cardiac systolic function in PPCM patients (113), but no further studies have been reported.

More recent studies have elucidated the role of pregnancy-specific hormones in the pathogenesis of PPCM. PPCM patients with end-stage heart failure had reduced cardiac expression of STAT3, a transcription factor with broad functions, and a cardiac-specific STAT3-knockout mouse model developed PPCM (77). Mechanistically, loss of STAT3 in this model enhanced oxidative stress during pregnancy, leading to increased activity of cathepsin D, which cleaves the pregnancy hormone prolactin into its antiangiogenic 16-kDa form and leads to microvascular deficiency (77). Another cardiac-specific knockout model, in this case of the transcription regulator PGC-1α, also developed PPCM. In this model, PGC-1α deficiency reduced expression of VEGF, a critical angiogenic factor, which was further neutralized by placenta-derived sFLT-1, a potent inhibitor of VEGF, thereby again leading to microvascular deficiency (114). Notably, this mechanism may explain the strong epidemiologic association between preeclampsia and PPCM. Further research is ongoing to understand the pathophysiological roles of other placenta-derived hormones. A recent study found that blocking the receptor of activin A, a hormone that is greatly increased in sera from patients with preeclampsia and PPCM, improves cardiac function in the PGC-1α model of PPCM (115, 116), likely through the inhibition of downstream Smad3 signaling (117) (Figure 2).

Mechanisms of pregnancy-related cardiovascular complications.Figure 2

Mechanisms of pregnancy-related cardiovascular complications. Factors produced by the brain and placenta during pregnancy lead to cardiovascular remodeling, which can result in the development of pregnancy-associated cardiovascular disease. ActRII, activin receptor type II; PAI-1, plasminogen activator inhibitor-1; PDK4, pyruvate dehydrogenase kinase 4; sFLT-1, soluble Fms-like tyrosine kinase 1.

Finally, it has also become apparent that strong genetic predispositions to PPCM exist in at least a subset of women. Women with PPCM have a substantially higher prevalence of loss-of-function variants in several genes, including TTN, FLNC, DSP, and BAG3 (118). Interestingly, the prevalence of these variants in women with PPCM is nearly identical to that found in patients with idiopathic dilated cardiomyopathy, indicating common pathomechanisms of these two diseases. How these variants interact with pregnancy hormones to cause disease remains unclear. Moreover, fewer than 25% of women with PPCM have identifiable variants. Thus, much remains to be learned of how PPCM develops.

Acute myocardial infarction/SCAD. Although rare, pregnancy is associated with a 4-fold higher risk of myocardial infarction (MI) compared with reproductive-age women who are not pregnant (119). Pregnancy-associated MI may be caused by atherosclerosis, SCAD, or other causes, such as in situ thrombosis or embolism (120). SCAD in general disproportionately affects women and has been estimated to cause up to 43% of pregnancy-associated MI (121). Like PPCM, SCAD is most likely to occur in the early weeks after delivery (122). SCAD is a nonatherosclerotic cause of acute MI that is caused by intramural hematoma in the epicardial coronary artery, with or without intimal tear (123). Pregnancy-associated SCAD is associated with a worse prognosis compared with SCAD that occurs not in the setting of pregnancy, with larger infarcts and lower LV ejection fraction (124) that frequently result in maternal death (125). Due to the strong sex disparity in SCAD, and its pregnancy susceptibility, several hypotheses of mechanism of disease center on sex hormone association, including estrogen and progesterone withdrawal (126), and prolactin level elevation (127). However, evidence supporting these associations remains limited. Although the pathophysiology of SCAD is not well understood, fibromuscular dysplasia is diagnosed in more than half of all patients with SCAD (121).

Genetic predispositions to SCAD have also been explored in recent years. Several genes involved in vascular connective tissue integrity have been implicated, such as COL3A1 and COL4A1, which encode fibrillar collagens known to be associated with vascular connective tissue disorders and arterial rupture (128). Notably, mice with Col3a1 deficiency (Col3a1+/–) exhibit aortic root enlargement, with more pronounced effects in female mice, which can be further exacerbated by pregnancy, aligning with human epidemiology (128). A genome-wide association study involving 85 patients with pregnancy-associated SCAD (P-SCAD) identified actin filament-associated protein AFAP1 at chromosome 4q16.1 to be specifically associated with the disease (127). A subsequent study also linked AFAP1 to SCAD more broadly (129). These findings highlight that while genetic predisposition plays a role, it likely acts in concert with pregnancy-related stresses in the pathogenesis of P-SCAD.

Venous and arterial thromboembolic diseases. The hypercoagulable state of pregnancy likely serves to maintain placental function and meet hemostatic requirement during labor, and lasts until 8 weeks postpartum, in part as a result of the expulsion of the placenta at term (130). This pregnancy-associated hemostatic environment puts women at 3- to 5-fold higher risk of overall thromboembolism, approximately 80% of which are venous (VTE, such as deep venous thrombosis, pulmonary embolism) and 20% are arterial (stroke and heart attack) (75, 119, 131). The increased risk of thromboembolism increases with gestation age, from 2-fold at early pregnancy, to 9-fold at late pregnancy, and reaches 80-fold within 6 weeks postpartum (132). There are several risk factors that contribute to VTE in the nonpregnant population, such as aging, obesity, immobilization, recent travel, etc. Interestingly, the prevalence of these preexisting risk factors in pregnancy-associated VTE are lower than in nonpregnancy VTE based on data from an international VTE registry (133). In contrast, pregnancy-specific risk factors, such as cesarean delivery, preeclampsia, postpartum infection, and in vitro fertilization, are associated with increased risk of peripartum thromboembolic events (132, 134). Women with inherited thrombophilia and autoimmune diseases, such as antiphospholipid syndrome, are also at increased risk for thromboembolism and other adverse pregnancy outcomes, including recurrent pregnant loss (135).

Aortic dissection. Aortic dissection (AoD) is a medical emergency that involves the avulsion of the intimal layer of the aortic wall, leading to the formation of a “false lumen” that reroutes arterial blood. AoD typically affects people over 65 years old and is more common in men than in women. Inherited connective tissue disorders such as Marfan syndrome, Loeys-Dietz syndrome, and Ehlers-Danlos syndrome are well-known precursors of AoD due to the disruption of intimal extracellular matrix and loss of smooth muscle cells. Hypertension also contributes to AoD potentially by directly applying pressure to the aortic wall and creating a proinflammatory milieu in the vasculature (136).

Pregnancy-associated AoD (P-AoD) is rare, with an incidence of 0.55–0.69 among 100,000 pregnancies based on studies performed in the United States (137, 138). Pregnancy is associated with a higher risk of AoD, with the highest risk seen among pregnant women with connective tissue or hypertension disorders (137, 138). The time of onset of P-AoD varies, with some studies concluding that the majority (58.8%–77.9%) of P-AoD happens in the third trimester (138, 139), while others suggest that more patients develop P-AoD postpartum (140). The mortality rate of P-AoD ranges from 3% to 23% (138–140), with variability likely due to a relatively small number of cases in most cohorts (137, 138, 140), and difference in the types of AoD cases (i.e., type A, which involves the ascending aorta and has a higher mortality rate, vs. type B, which involves the descending aorta), and variable prevalence of connective tissue disorders.

Two studies from the same group, using animal models of Marfan syndrome (Fbn1-deficient mice) and vascular Ehlers-Danlos syndrome (Col3a1 mutation–knockin mice), identified lactation as a major contributor to the occurrence of P-AoD (141, 142). In both models, lactation increased 30-day postpartum lethality due to arterial dissection or rupture compared with virgin female mice (91.1% vs. 6.7% in Fbn1-deficient mice; 54% vs. 4% in Col3a1-mutant mice). Either pup removal or treatment with oxytocin receptor antagonist effectively rescued postpartum death due to P-AoD in both studies. While there is currently insufficient evidence to determine whether these findings in mice are applicable to human patients, future clinical studies may benefit from including lactation history when assessing P-AoD risk.

Other complications with cardiovascular implications. Gestational diabetes mellitus (GDM) is primarily a metabolic disorder characterized by impaired glucose tolerance first recognized during pregnancy. While not a cardiovascular disease per se, GDM has important implications for maternal cardiovascular health. Over the past few decades, accumulating evidence has shown that GDM increases the risk of future diabetes and cardiovascular disease (143). More recent studies suggest that women with GDM may develop subclinical cardiac symptoms during pregnancy, with increased cardiac mass and impaired cardiac energetics and contractility (144). Importantly, these subclinical changes can persist into the postpartum period, partially independent of progression to overt type 2 diabetes (145). Although the mechanisms are not well studied, one potential mechanism is altered cardiac metabolism, where shifts in substrate utilization may contribute to impaired cardiac energetics (50). This remains a relatively understudied area, and given the rising prevalence of obesity and GDM, larger and more comprehensive clinical and animal studies are needed to clarify these metabolic-cardiac interactions and their long-term consequences.

Racial and ethnic disparities

Based on national data from 2022, the Unites States continues to have a higher rate of maternal deaths compared with other high-income countries (146). Within the Unites States, marked racial disparities exist; non-Hispanic Black women have a 2.5-fold greater risk of maternal mortality compared with non-Hispanic White women (14). Based on data published from state-based maternal mortality review committees between 2017 and 2019, the most common cause of pregnancy-related deaths, which are deaths that occur during pregnancy or the 12 months following delivery, also differed substantially by race. Mental health conditions, including suicide and substance use disorder, were the leading causes of death in White women, whereas cardiac conditions and cardiomyopathy were the leading causes of death in Black women (15). Black women have a higher prevalence of PPCM compared with White women, are diagnosed with more severe disease, and experience lower rates of recovery (147). In the Investigations of Pregnancy-Associated Cardiomyopathy (IPAC) cohort, 26% of Black women had a major adverse event, including death, transplant, or persistent severe cardiomyopathy compared with 8% of non-Black women (P = 0.03) (101). Deaths from preeclampsia are 2–3 times higher in Black compared with White women (148). Among women with pregnancy-induced hypertension, Black women have a 2-fold higher risk of stroke compared with White women (149). Racial differences have also been reported for pregnancy-associated MI. The underlying causes of these disparities are only partially explained by higher rates of chronic medical conditions experienced by Black individuals. Genetic predispositions may also play a role. Sickle cell trait, which is highly prevalent among Black individuals, has been linked to adverse pregnancy outcomes, including preeclampsia, VTE, and preterm delivery (150). And fetal APOL1 variants, which are found almost exclusively in individuals of African ancestry, strongly link to preeclampsia and other adverse pregnancy outcomes (151), and forced placental expression of these APOL1 variants causes preeclampsia in mice (152). Beyond biologic predispositions, differences in access to care and quality of care prior to pregnancy and in the peripartum period likely contribute to racial disparities in cardiovascular outcomes. For example, in New York City, up to 48% of racial disparities in severe maternal morbidity were explained by differences in delivery hospital location (153). Social determinants of health also impact disparities in maternal cardiovascular outcomes through social, environmental, economic, and biologic mechanisms (154, 155).

Conclusions and future directions

Pregnancy induces profound physiological changes to the maternal cardiovascular system. While most women adapt to these changes, a subset experience acute cardiovascular complications that contribute strongly to maternal morbidity and mortality. Pregnancy-induced cardiovascular complications during pregnancy — such as preeclampsia, PPCM, AoD, and thromboembolism — reflect complex interactions between genetic predisposition, hormonal signaling, metabolic adaptation, and vascular remodeling. These complications impact not only maternal and fetal outcomes during pregnancy, but also contribute to short-term postpartum morbidity and long-term cardiovascular risks later in life. Despite a steadily improving epidemiological understanding of these diseases, and an increasing number of preclinical models to study them, there remain few to no disease-specific treatments for any of these pregnancy complications. New challenges are also emerging, particularly the rising prevalence of obesity and metabolic disorders in women of childbearing age. In this context, the use of incretin-modifying drugs (e.g., GLP-1 receptor agonists) prior to conception, and often unknowingly during early gestation, and the metabolic rebound following their discontinuation, raises important unanswered questions. These agents not only affect systemic metabolism but also exert direct beneficial effects on the cardiovascular system, making their impact on pregnancy physiology and outcomes a critical area for future investigation. Advancing our understanding of the pathophysiology underlying cardiovascular complications of pregnancy, as well as their social determinants, is our best hope to improving pregnancy outcomes and informing preventive strategies for high-risk populations. Progress in this area critically depends on animal models, given the inherent limitations of conducting mechanistic studies in pregnant humans. While organoid and in vitro systems provide valuable insights into placental or vascular biology, they cannot recapitulate the complex, integrated maternal adaptations involving hemodynamic, metabolic, vascular, and hormonal changes. Thus, animal models remain irreplaceable tools for dissecting pregnancy physiology and pathology, and there is an urgent need to expand and diversify their use to better capture disease complexity and accelerate the discovery of effective therapies.

Funding support

This work is the result of NIH funding, in whole or in part, and is subject to the NIH Public Access Policy. Through acceptance of this federal funding, the NIH has been given a right to make the work publicly available in PubMed Central.

  • American Diabetes Association fellowship 1-25-PDF-106 (to YY).
  • NIH grants HL173331 (to JL) and HL152446 (to ZA).
Footnotes

Conflict of interest: The authors have declared that no conflicts of interest exist.

Copyright: © 2026, Yang et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

Reference information: J Clin Invest. 2026;136(1):e198808. https://doi.org/10.1172/JCI198808.

References
  1. Liu LX, Arany Z. Maternal cardiac metabolism in pregnancy. Cardiovasc Res. 2014;101(4):545–553.
    View this article via: CrossRef PubMed Google Scholar
  2. Melchiorre K, et al. Maternal cardiovascular function in normal pregnancy: evidence of maladaptation to chronic volume overload. Hypertension. 2016;67(4):754–762.
    View this article via: CrossRef PubMed Google Scholar
  3. Pandey AK, et al. Evaluation of maternal myocardial performance during normal pregnancy and post partum. Indian Heart J. 2010;62(1):64–67.
    View this article via: PubMed Google Scholar
  4. Mone SM, et al. Control mechanisms for physiological hypertrophy of pregnancy. Circulation. 1996;94(4):667–672.
    View this article via: CrossRef PubMed Google Scholar
  5. Gilson GJ, et al. Changes in hemodynamics, ventricular remodeling, and ventricular contractility during normal pregnancy: a longitudinal study. Obstet Gynecol. 1997;89(6):957–962.
    View this article via: CrossRef PubMed Google Scholar
  6. Laird-Meeter K, et al. Cardiocirculatory adjustments during pregnancy -- an echocardiographic study. Clin Cardiol. 1979;2(5):328–332.
    View this article via: CrossRef PubMed Google Scholar
  7. Robson SC, et al. Serial study of factors influencing changes in cardiac output during human pregnancy. Am J Physiol. 1989;256(4 pt 2):1060–1065.
    View this article via: PubMed CrossRef Google Scholar
  8. Savu O, et al. Morphological and functional adaptation of the maternal heart during pregnancy. Circ Cardiovasc Imaging. 2012;5(3):289–297.
    View this article via: CrossRef PubMed Google Scholar
  9. Hoyert DL. Maternal Mortality Rates in the United States, 2021. https://www.cdc.gov/nchs/data/hestat/maternal-mortality/2021/maternal-mortality-rates-2021.htm Updated March 16, 2023. Accessed October 15, 2025.
  10. Khalil A, et al. A call to action: the global failure to effectively tackle maternal mortality rates. Lancet Glob Health. 2023;11(8):1165–1167.
    View this article via: CrossRef PubMed Google Scholar
  11. World Health Organization. Trends in Maternal Mortality 2000-2020. World Health Organization; 2023.
  12. Rossen LM, et al. The impact of the pregnancy checkbox and misclassification on maternal mortality trends in the United States, 1999–2017. Vital Health Stat 3. 2020;(44):1–61.
    View this article via: PubMed Google Scholar
  13. Joseph KS, et al. Maternal mortality in the United States: are the high and rising rates due to changes in obstetrical factors, maternal medical conditions, or maternal mortality surveillance? Am J Obstet Gynecol. 2024;230(4):440.e1–440.e13.
    View this article via: CrossRef PubMed Google Scholar
  14. Hoyert DL. Maternal Mortality Rates in the United States, 2022. https://www.cdc.gov/nchs/data/hestat/maternal-mortality/2022/maternal-mortality-rates-2022.pdf Updated May, 2024. Accessed October 15, 2025.
  15. CDC. Pregnancy-Related Deaths: Data From Maternal Mortality Review Committees in 36 U.S. States, 2017–2019. https://www.cdc.gov/maternal-mortality/php/data-research/mmrc/ Updated August 22, 2025. Accessed October 15, 2025.
  16. Petersen EE, et al. Racial/ethnic disparities in pregnancy-related deaths - United States, 2007-2016. MMWR Morb Mortal Wkly Rep. 2019;68(35):762–765.
    View this article via: CrossRef PubMed Google Scholar
  17. Honigberg MC, et al. Long-term cardiovascular risk in women with hypertension during pregnancy. J Am Coll Cardiol. 2019;74(22):2743–2754.
    View this article via: CrossRef PubMed Google Scholar
  18. O’Kelly AC, et al. Pregnancy and reproductive risk factors for cardiovascular disease in women. Circ Res. 2022;130(4):652–672.
    View this article via: CrossRef PubMed Google Scholar
  19. Bellamy L, et al. Pre-eclampsia and risk of cardiovascular disease and cancer in later life: systematic review and meta-analysis. BMJ. 2007;335(7627):974.
    View this article via: CrossRef PubMed Google Scholar
  20. Maas A, et al. Cardiovascular health after menopause transition, pregnancy disorders, and other gynaecologic conditions: a consensus document from European cardiologists, gynaecologists, and endocrinologists. Eur Heart J. 2021;42(10):967–984.
    View this article via: CrossRef PubMed Google Scholar
  21. Lewey J, et al. Opportunities in the postpartum period to reduce cardiovascular disease risk after adverse pregnancy outcomes: a scientific statement From the American Heart Association. Circulation. 2024;149(7):330–346.
    View this article via: CrossRef PubMed Google Scholar
  22. Lindley KJ, et al. Management of women with congenital or inherited cardiovascular disease from pre-conception through pregnancy and postpartum: JACC Focus Seminar 2/5. J Am Coll Cardiol. 2021;77(14):1778–1798.
    View this article via: CrossRef PubMed Google Scholar
  23. Canobbio MM, et al. Management of pregnancy in patients with complex congenital heart disease: a scientific statement for healthcare professionals from the American Heart Association. Circulation. 2017;135(8):50–87.
    View this article via: CrossRef PubMed Google Scholar
  24. Nanna M, Stergiopoulos K. Pregnancy complicated by valvular heart disease: an update. J Am Heart Assoc. 2014;3(3):e000712.
    View this article via: CrossRef PubMed Google Scholar
  25. Tamirisa KP, et al. Arrhythmias in pregnancy. JACC Clin Electrophysiol. 2022;8(1):120–135.
    View this article via: CrossRef PubMed Google Scholar
  26. Hytten F. Blood volume changes in normal pregnancy. Clin Haematol. 1985;14(3):601–612.
    View this article via: CrossRef PubMed Google Scholar
  27. Aguree S, Gernand AD. Plasma volume expansion across healthy pregnancy: a systematic review and meta-analysis of longitudinal studies. BMC Pregnancy Childbirth. 2019;19(1):508.
    View this article via: CrossRef PubMed Google Scholar
  28. de Haas S, et al. Physiological adaptation of maternal plasma volume during pregnancy: a systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2017;49(2):177–187.
    View this article via: CrossRef PubMed Google Scholar
  29. Pritchard JA. Changes in the blood volume during pregnancy and delivery. Anesthesiology. 1965;26:393–399.
    View this article via: CrossRef PubMed Google Scholar
  30. Capeless EL, Clapp JF. Cardiovascular changes in early phase of pregnancy. Am J Obstet Gynecol. 1989;161(6 pt 1):1449–1453.
    View this article via: CrossRef PubMed Google Scholar
  31. Duvekot JJ, et al. Early pregnancy changes in hemodynamics and volume homeostasis are consecutive adjustments triggered by a primary fall in systemic vascular tone. Am J Obstet Gynecol. 1993;169(6):1382–1392.
    View this article via: CrossRef PubMed Google Scholar
  32. Roberts JM, et al. Early pregnancy blood pressure trajectories and hypertension years after pregnancy. Hypertension. 2025;82(5):75–87.
    View this article via: CrossRef PubMed Google Scholar
  33. Sanghavi M, Rutherford JD. Cardiovascular physiology of pregnancy. Circulation. 2014;130(12):1003–1008.
    View this article via: CrossRef PubMed Google Scholar
  34. Countouris M, et al. Hypertension in pregnancy and postpartum: current standards and opportunities to improve care. Circulation. 2025;151(7):490–507.
    View this article via: CrossRef PubMed Google Scholar
  35. Conrad KP. Emerging role of relaxin in the maternal adaptations to normal pregnancy: implications for preeclampsia. Semin Nephrol. 2011;31(1):15–32.
    View this article via: CrossRef PubMed Google Scholar
  36. Tamanna S, et al. ACE2: a key modulator of the renin-angiotensin system and pregnancy. Am J Physiol Regul Integr Comp Physiol. 2021;321(6):833–843.
    View this article via: CrossRef PubMed Google Scholar
  37. Gant NF, et al. Control of vascular responsiveness during human pregnancy. Kidney Int. 1980;18(2):253–258.
    View this article via: CrossRef PubMed Google Scholar
  38. Assali NS, Westersten A. Regional flow-pressure relationship in response to angiotensin in the intact dog and sheep. Circ Res. 1961;9:189–193.
    View this article via: CrossRef PubMed Google Scholar
  39. Abdul-Karim R, Assalin S. Pressor response to angiotonin in pregnant and nonpregnant women. Am J Obstet Gynecol. 1961;82:246–251.
    View this article via: CrossRef PubMed Google Scholar
  40. Tamanna S, et al. Angiotensin converting enzyme 2 (ACE2) in pregnancy: preeclampsia and small for gestational age. Front Physiol. 2020;11:590787.
    View this article via: CrossRef PubMed Google Scholar
  41. Bamfo JE, et al. Maternal left ventricular diastolic and systolic long-axis function during normal pregnancy. Eur J Echocardiogr. 2007;8(5):360–368.
    View this article via: CrossRef PubMed Google Scholar
  42. Burwell CS. Observations on the output of the heart and the pressure in the veins of pregnant women. Trans Am Clin Climatol Assoc. 1934;50:46–49.
    View this article via: PubMed Google Scholar
  43. Moore LG, et al. Why is human uterine artery blood flow during pregnancy so high? Am J Physiol Regul Integr Comp Physiol. 2022;323(5):694–699.
    View this article via: CrossRef PubMed Google Scholar
  44. Kametas NA, et al. Maternal cardiac function in twin pregnancy. Obstet Gynecol. 2003;102(4):806–815.
    View this article via: CrossRef PubMed Google Scholar
  45. Farsetti D, et al. Longitudinal maternal hemodynamic evaluation in uncomplicated twin pregnancies according to chorionicity: physiological cardiovascular dysfunction in monochorionic twin pregnancy. Ultrasound Obstet Gynecol. 2024;63(2):198–205.
    View this article via: CrossRef PubMed Google Scholar
  46. Poppas A, et al. Serial assessment of the cardiovascular system in normal pregnancy. Role of arterial compliance and pulsatile arterial load. Circulation. 1997;95(10):2407–2415.
    View this article via: CrossRef PubMed Google Scholar
  47. Ducas RA, et al. Cardiovascular magnetic resonance in pregnancy: insights from the cardiac hemodynamic imaging and remodeling in pregnancy (CHIRP) study. J Cardiovasc Magn Reson. 2014;16(1):1.
    View this article via: CrossRef PubMed Google Scholar
  48. Eghbali M, et al. Molecular and functional signature of heart hypertrophy during pregnancy. Circ Res. 2005;96(11):1208–1216.
    View this article via: CrossRef PubMed Google Scholar
  49. Umar S, et al. Cardiac structural and hemodynamic changes associated with physiological heart hypertrophy of pregnancy are reversed postpartum. J Appl Physiol (1985). 2012;113(8):1253–1259.
    View this article via: CrossRef PubMed Google Scholar
  50. Yang Y, et al. Cardiac remodeling during pregnancy with metabolic syndrome: prologue of pathological remodeling. Circulation. 2021;143(7):699–712.
    View this article via: CrossRef PubMed Google Scholar
  51. Zentner D, et al. Deterioration in cardiac systolic and diastolic function late in normal human pregnancy. Clin Sci (Lond). 2009;116(7):599–606.
    View this article via: CrossRef PubMed Google Scholar
  52. Schannwell CM, et al. Left ventricular hypertrophy and diastolic dysfunction in healthy pregnant women. Cardiology. 2002;97(2):73–78.
    View this article via: CrossRef PubMed Google Scholar
  53. Chung E, et al. Akt and MAPK signaling mediate pregnancy-induced cardiac adaptation. J Appl Physiol (1985). 2012;112(9):1564–1575.
    View this article via: CrossRef PubMed Google Scholar
  54. Gonzalez AM, et al. Hypertrophy signaling during peripartum cardiac remodeling. Am J Physiol Heart Circ Physiol. 2007;293(5):3008–3013.
    View this article via: CrossRef PubMed Google Scholar
  55. Buddeberg BS, et al. Cardiac maladaptation in obese pregnant women at term. Ultrasound Obstet Gynecol. 2019;54(3):344–349.
    View this article via: CrossRef PubMed Google Scholar
  56. Patel D, et al. Maternal cardiovascular adaptation to pregnancy in obese pregnant women. Acta Obstet Gynecol Scand. 2024;103(5):907–916.
    View this article via: CrossRef PubMed Google Scholar
  57. Wang Q, et al. Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence. BMC Med. 2016;14(1):205.
    View this article via: CrossRef PubMed Google Scholar
  58. Lain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol. 2007;50(4):938–948.
    View this article via: CrossRef PubMed Google Scholar
  59. Catalano PM, et al. Longitudinal changes in insulin release and insulin resistance in nonobese pregnant women. Am J Obstet Gynecol. 1991;165(6 pt 1):1667–1672.
    View this article via: CrossRef PubMed Google Scholar
  60. Lippi G, et al. Lipid and lipoprotein profile in physiological pregnancy. Clin Lab. 2007;53(3-4):173–177.
    View this article via: PubMed Google Scholar
  61. Ghio A, et al. Triglyceride metabolism in pregnancy. Adv Clin Chem. 2011;55:133–153.
    View this article via: CrossRef PubMed Google Scholar
  62. Wild R, Feingold KR. Effect of pregnancy on lipid metabolism and lipoprotein levels [updated March 3, 2023]. In: Feingold KR, et al., eds. Endotext [Internet]. South Dartmouth (MA). https://www.ncbi.nlm.nih.gov/books/NBK498654/.
  63. Sugden MC, et al. Cardiac glucose metabolism during pregnancy. Biochem Soc Trans. 1992;20(2):195S.
    View this article via: CrossRef PubMed Google Scholar
  64. Sugden MC, Holness MJ. Cardiac carbohydrate and lipid utilization during late pregnancy. Biochem Soc Trans. 1993;21(3):312S.
    View this article via: CrossRef PubMed Google Scholar
  65. Fulghum KL, et al. Metabolic signatures of pregnancy-induced cardiac growth. Am J Physiol Heart Circ Physiol. 2022;323(1):146–164.
    View this article via: CrossRef PubMed Google Scholar
  66. Liu LX, et al. PDK4 inhibits cardiac pyruvate oxidation in late pregnancy. Circ Res. 2017;121(12):1370–1378.
    View this article via: CrossRef PubMed Google Scholar
  67. Redondo-Angulo I, et al. Fgf21 is required for cardiac remodeling in pregnancy. Cardiovasc Res. 2017;113(13):1574–1584.
    View this article via: CrossRef PubMed Google Scholar
  68. Yu D, et al. A multi-tissue metabolome atlas of primate pregnancy. Cell. 2024;187(3):764–781.e14.
    View this article via: CrossRef PubMed Google Scholar
  69. Hellgren M, Blomback M. Studies on blood coagulation and fibrinolysis in pregnancy, during delivery and in the puerperium. I. Normal condition. Gynecol Obstet Invest. 1981;12(3):141–154.
    View this article via: CrossRef PubMed Google Scholar
  70. Thornton P, Douglas J. Coagulation in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2010;24(3):339–352.
    View this article via: CrossRef PubMed Google Scholar
  71. Estelles A, et al. Altered expression of plasminogen activator inhibitor type 1 in placentas from pregnant women with preeclampsia and/or intrauterine fetal growth retardation. Blood. 1994;84(1):143–150.
    View this article via: CrossRef PubMed Google Scholar
  72. Guller S, et al. Differential release of plasminogen activator inhibitors (PAIs) during dual perfusion of human placenta: implications in preeclampsia. Placenta. 2007;28(4):278–285.
    View this article via: CrossRef PubMed Google Scholar
  73. Howie PW. Blood clotting and fibrinolysis in pregnancy. Postgrad Med J. 1979;55(643):362–366.
    View this article via: CrossRef PubMed Google Scholar
  74. Moniwa N. Relationship of urokinase type plasminogen activator, plasminogen activator inhibitor type 1 and activated protein C in fibrinolysis of human placenta. Pol J Pharmacol. 1996;48(2):215–220.
    View this article via: PubMed Google Scholar
  75. Heit JA, et al. Trends in the incidence of venous thromboembolism during pregnancy or postpartum: a 30-year population-based study. Ann Intern Med. 2005;143(10):697–706.
    View this article via: CrossRef PubMed Google Scholar
  76. James AH. Pregnancy-associated thrombosis. Hematology Am Soc Hematol Educ Program. 2009;(1):277–285.
    View this article via: CrossRef PubMed Google Scholar
  77. Hilfiker-Kleiner D, et al. A cathepsin D-cleaved 16 kDa form of prolactin mediates postpartum cardiomyopathy. Cell. 2007;128(3):589–600.
    View this article via: CrossRef PubMed Google Scholar
  78. Dafnis E, Sabatini S. The effect of pregnancy on renal function: physiology and pathophysiology. Am J Med Sci. 1992;303(3):184–205.
    View this article via: CrossRef PubMed Google Scholar
  79. Fishel Bartal M, et al. Proteinuria during pregnancy: definition, pathophysiology, methodology, and clinical significance. Am J Obstet Gynecol. 2022;226(2s):819–834.
    View this article via: PubMed CrossRef Google Scholar
  80. Odutayo A, Hladunewich M. Obstetric nephrology: renal hemodynamic and metabolic physiology in normal pregnancy. Clin J Am Soc Nephrol. 2012;7(12):2073–2080.
    View this article via: CrossRef PubMed Google Scholar
  81. Cheung KL, Lafayette RA. Renal physiology of pregnancy. Adv Chronic Kidney Dis. 2013;20(3):209–214.
    View this article via: CrossRef PubMed Google Scholar
  82. Christensen T, et al. Changes in renal volume during normal pregnancy. Acta Obstet Gynecol Scand. 1989;68(6):541–543.
    View this article via: CrossRef PubMed Google Scholar
  83. Crabtree CE. Influence of pregnancy on the renal cortex of mice as indicated by the structure of Bowman’s capsule1. Endocrinology. 1941;29(2):204–209.
    View this article via: CrossRef Google Scholar
  84. Lopez-Tello J, et al. Identification of structural and molecular signatures mediating adaptive changes in the mouse kidney in response to pregnancy. Int J Mol Sci. 2022;23(11):6287.
    View this article via: CrossRef PubMed Google Scholar
  85. [No authors listed]. Gestational hypertension and preeclampsia: ACOG Practice Bulletin, Number 222. Obstet Gynecol. 2020;135(6):237–260.
    View this article via: CrossRef PubMed Google Scholar
  86. Melamed N, et al. Gestational hypertension and preeclampsia: are they the same disease? J Obstet Gynaecol Can. 2014;36(7):642–647.
    View this article via: CrossRef PubMed Google Scholar
  87. Ives CW, et al. Preeclampsia-pathophysiology and clinical presentations: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(14):1690–1702.
    View this article via: CrossRef PubMed Google Scholar
  88. Dimitriadis E, et al. Pre-eclampsia. Nat Rev Dis Primers. 2023;9(1):8.
    View this article via: CrossRef PubMed Google Scholar
  89. Siegler Y, et al. Preeclampsia in twin pregnancies: time for differential approaches? Eur J Obstet Gynecol Reprod Biol. 2025;313:114578.
    View this article via: CrossRef PubMed Google Scholar
  90. Redman CWG, et al. Syncytiotrophoblast stress in preeclampsia: the convergence point for multiple pathways. Am J Obstet Gynecol. 2022;226(2s):907–927.
    View this article via: PubMed CrossRef Google Scholar
  91. Maynard SE, et al. Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. J Clin Invest. 2003;111(5):649–658.
    View this article via: JCI CrossRef PubMed Google Scholar
  92. Pietro L, et al. Placental findings in preterm and term preeclampsia: an integrative review of the literature. Rev Bras Ginecol Obstet. 2021;43(7):560–569.
    View this article via: CrossRef PubMed Google Scholar
  93. Sebire NJ, et al. Term preeclampsia is associated with minimal histopathological placental features regardless of clinical severity. J Obstet Gynaecol. 2005;25(2):117–118.
    View this article via: CrossRef PubMed Google Scholar
  94. Ness RB, Roberts JM. Heterogeneous causes constituting the single syndrome of preeclampsia: a hypothesis and its implications. Am J Obstet Gynecol. 1996;175(5):1365–1370.
    View this article via: CrossRef PubMed Google Scholar
  95. Steinthorsdottir V, et al. Genetic predisposition to hypertension is associated with preeclampsia in European and Central Asian women. Nat Commun. 2020;11(1):5976.
    View this article via: CrossRef PubMed Google Scholar
  96. Caritis S, et al. Low-dose aspirin to prevent preeclampsia in women at high risk. National Institute of Child Health and Human Development Network of Maternal-Fetal Medicine Units. N Engl J Med. 1998;338(11):701–705.
    View this article via: CrossRef PubMed Google Scholar
  97. Venkatesha S, et al. Soluble endoglin contributes to the pathogenesis of preeclampsia. Nat Med. 2006;12(6):642–649.
    View this article via: CrossRef PubMed Google Scholar
  98. Bruggeman LA, et al. APOL1-G0 or APOL1-G2 transgenic models develop preeclampsia but not kidney disease. J Am Soc Nephrol. 2016;27(12):3600–3610.
    View this article via: CrossRef PubMed Google Scholar
  99. Sliwa K, et al. Current state of knowledge on aetiology, diagnosis, management, and therapy of peripartum cardiomyopathy: a position statement from the Heart Failure Association of the European Society of Cardiology Working Group on peripartum cardiomyopathy. Eur J Heart Fail. 2010;12(8):767–778.
    View this article via: CrossRef PubMed Google Scholar
  100. Irizarry OC, et al. Comparison of clinical characteristics and outcomes of peripartum cardiomyopathy between African American and Non-African American women. JAMA Cardiol. 2017;2(11):1256–1260.
    View this article via: CrossRef PubMed Google Scholar
  101. McNamara DM, et al. Clinical outcomes for peripartum cardiomyopathy in North America: Results of the IPAC Study (investigations of pregnancy-associated cardiomyopathy). J Am Coll Cardiol. 2015;66(8):905–914.
    View this article via: CrossRef PubMed Google Scholar
  102. Pearson GD, et al. Peripartum cardiomyopathy: National Heart, Lung, and Blood Institute and Office of Rare Diseases (National Institutes of Health) workshop recommendations and review. JAMA. 2000;283(9):1183–1188.
    View this article via: CrossRef PubMed Google Scholar
  103. Midei MG, et al. Peripartum myocarditis and cardiomyopathy. Circulation. 1990;81(3):922–928.
    View this article via: CrossRef PubMed Google Scholar
  104. Rizeq MN, et al. Incidence of myocarditis in peripartum cardiomyopathy. Am J Cardiol. 1994;74(5):474–477.
    View this article via: CrossRef PubMed Google Scholar
  105. Fett JD. Viral particles in endomyocardial biopsy tissue from peripartum cardiomyopathy patients. Am J Obstet Gynecol. 2006;195(1):330–331.
    View this article via: CrossRef PubMed Google Scholar
  106. Bultmann BD, et al. High prevalence of viral genomes and inflammation in peripartum cardiomyopathy. Am J Obstet Gynecol. 2005;193(2):363–365.
    View this article via: CrossRef PubMed Google Scholar
  107. Haghikia A, et al. Prognostic implication of right ventricular involvement in peripartum cardiomyopathy: a cardiovascular magnetic resonance study. ESC Heart Fail. 2015;2(4):139–149.
    View this article via: CrossRef PubMed Google Scholar
  108. Schelbert EB, et al. Myocardial damage detected by late gadolinium enhancement cardiac magnetic resonance is uncommon in peripartum cardiomyopathy. J Am Heart Assoc. 2017;6(4):e005472.
    View this article via: CrossRef PubMed Google Scholar
  109. Cenac A, et al. A low plasma selenium is a risk factor for peripartum cardiomyopathy. A comparative study in Sahelian Africa. Int J Cardiol. 1992;36(1):57–59.
    View this article via: CrossRef PubMed Google Scholar
  110. Karaye KM, et al. Selenium supplementation in patients with peripartum cardiomyopathy: a proof-of-concept trial. BMC Cardiovasc Disord. 2020;20(1):457.
    View this article via: CrossRef PubMed Google Scholar
  111. Fett JD, et al. Peripartum cardiomyopathy: a selenium disconnection and an autoimmune connection. Int J Cardiol. 2002;86(2-3):311–316.
    View this article via: CrossRef PubMed Google Scholar
  112. Ansari AA, et al. Autoimmune mechanisms as the basis for human peripartum cardiomyopathy. Clin Rev Allergy Immunol. 2002;23(3):301–324.
    View this article via: CrossRef PubMed Google Scholar
  113. Bozkurt B, et al. Intravenous immune globulin in the therapy of peripartum cardiomyopathy. J Am Coll Cardiol. 1999;34(1):177–180.
    View this article via: CrossRef PubMed Google Scholar
  114. Patten IS, et al. Cardiac angiogenic imbalance leads to peripartum cardiomyopathy. Nature. 2012;485(7398):333–338.
    View this article via: CrossRef PubMed Google Scholar
  115. Koczo A, et al. Association of activin A and postpartum blood pressure in peripartum cardiomyopathy. Pregnancy Hypertens. 2023;34:60–66.
    View this article via: CrossRef PubMed Google Scholar
  116. Roh JD, et al. Placental senescence pathophysiology is shared between peripartum cardiomyopathy and preeclampsia in mouse and human. Sci Transl Med. 2024;16(743):eadi0077.
    View this article via: CrossRef PubMed Google Scholar
  117. Roh JD, et al. Activin type II receptor signaling in cardiac aging and heart failure. Sci Transl Med. 2019;11(482):eaau8680.
    View this article via: CrossRef PubMed Google Scholar
  118. Goli R, et al. Genetic and phenotypic landscape of peripartum cardiomyopathy. Circulation. 2021;143(19):1852–1862.
    View this article via: CrossRef PubMed Google Scholar
  119. James AH, et al. Acute myocardial infarction in pregnancy: a United States population-based study. Circulation. 2006;113(12):1564–1571.
    View this article via: CrossRef PubMed Google Scholar
  120. Tweet MS, et al. Pregnancy-associated myocardial infarction: prevalence, causes, and interventional management. [published online August 1, 2020]. Circ Cardiovasc Interv. https://doi.org/10.1161/circinterventions.120.008687.
    View this article via: PubMed Google Scholar
  121. Hayes SN, et al. Spontaneous coronary artery dissection: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(8):961–984.
    View this article via: CrossRef PubMed Google Scholar
  122. Elkayam U, et al. Pregnancy-associated acute myocardial infarction: a review of contemporary experience in 150 cases between 2006 and 2011. Circulation. 2014;129(16):1695–1702.
    View this article via: CrossRef PubMed Google Scholar
  123. Hayes SN, et al. Spontaneous coronary artery dissection: current state of the science: a scientific statement from the American Heart Association. Circulation. 2018;137(19):523–557.
    View this article via: CrossRef PubMed Google Scholar
  124. Tweet MS, et al. Spontaneous coronary artery dissection associated with pregnancy. J Am Coll Cardiol. 2017;70(4):426–435.
    View this article via: CrossRef PubMed Google Scholar
  125. Chan N, et al. Pregnancy and spontaneous coronary artery dissection: lessons from survivors and nonsurvivors. Circulation. 2022;146(1):69–72.
    View this article via: CrossRef PubMed Google Scholar
  126. Tweet MS, et al. The evidence on estrogen, progesterone, and spontaneous coronary artery dissection. JAMA Cardiol. 2019;4(5):403–404.
    View this article via: CrossRef PubMed Google Scholar
  127. Turley TN, et al. Susceptibility locus for pregnancy-associated spontaneous coronary artery dissection. Circ Genom Precis Med. 2021;14(4):e003398.
    View this article via: CrossRef PubMed Google Scholar
  128. Zekavat SM, et al. Fibrillar collagen variants in spontaneous coronary artery dissection. JAMA Cardiol. 2022;7(4):396–406.
    View this article via: CrossRef PubMed Google Scholar
  129. Adlam D, et al. Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation. Nat Genet. 2023;55(6):964–972.
    View this article via: CrossRef PubMed Google Scholar
  130. Bremme KA. Haemostatic changes in pregnancy. Best Pract Res Clin Haematol. 2003;16(2):153–168.
    View this article via: CrossRef PubMed Google Scholar
  131. Kamel H, et al. Risk of a thrombotic event after the 6-week postpartum period. N Engl J Med. 2014;370(14):1307–1315.
    View this article via: CrossRef PubMed Google Scholar
  132. Nichols KM, et al. Venous thromboembolism associated with pregnancy: JACC focus seminar. J Am Coll Cardiol. 2020;76(18):2128–2141.
    View this article via: CrossRef PubMed Google Scholar
  133. Elgendy IY, et al. Clinical characteristics and outcomes of women presenting with venous thromboembolism during pregnancy and postpartum period: findings from the RIETE Registry. Thromb Haemost. 2020;120(10):1454–1462.
    View this article via: CrossRef PubMed Google Scholar
  134. Lindqvist P, et al. Thrombotic risk during pregnancy: a population study. Obstet Gynecol. 1999;94(4):595–599.
    View this article via: CrossRef PubMed Google Scholar
  135. Liu X, et al. Hereditary thrombophilia and recurrent pregnancy loss: a systematic review and meta-analysis. Hum Reprod. 2021;36(5):1213–1229.
    View this article via: CrossRef PubMed Google Scholar
  136. Hibino M, et al. Blood pressure, hypertension, and the risk of aortic dissection incidence and mortality: results from the J-SCH Study, the UK Biobank Study, and a meta-analysis of cohort studies. Circulation. 2022;145(9):633–644.
    View this article via: CrossRef PubMed Google Scholar
  137. Kamel H, et al. Pregnancy and the risk of aortic dissection or rupture: a cohort-crossover analysis. Circulation. 2016;134(7):527–533.
    View this article via: CrossRef PubMed Google Scholar
  138. Wang Y, et al. Aortic dissection during pregnancy and puerperium: contemporary incidence and outcomes in the United States. J Am Heart Assoc. 2023;12(9):e028436.
    View this article via: CrossRef PubMed Google Scholar
  139. Yuan SM. Aortic dissection during pregnancy: a difficult clinical scenario. Clin Cardiol. 2013;36(10):576–584.
    View this article via: CrossRef PubMed Google Scholar
  140. Braverman AC, et al. Clinical features and outcomes of pregnancy-related acute aortic dissection. JAMA Cardiol. 2021;6(1):58–66.
    View this article via: PubMed CrossRef Google Scholar
  141. Bowen CJ, et al. Targetable cellular signaling events mediate vascular pathology in vascular Ehlers-Danlos syndrome. J Clin Invest. 2020;130(2):686–698.
    View this article via: JCI CrossRef PubMed Google Scholar
  142. Habashi JP, et al. Oxytocin antagonism prevents pregnancy-associated aortic dissection in a mouse model of Marfan syndrome. Sci Transl Med. 2019;11(490):eaat4822.
    View this article via: CrossRef PubMed Google Scholar
  143. Green JB. Cardiovascular consequences of gestational diabetes. Circulation. 2021;143(10):988–990.
    View this article via: CrossRef PubMed Google Scholar
  144. Thirunavukarasu S, et al. Maternal cardiac changes in women with obesity and gestational diabetes mellitus. Diabetes Care. 2022;45(12):3007–3015.
    View this article via: CrossRef PubMed Google Scholar
  145. Minhas AS, et al. Association of gestational diabetes with subclinical cardiovascular disease. JACC Adv. 2024;3(8):101111.
    View this article via: CrossRef PubMed Google Scholar
  146. Munira Z, et al. Insights into the U.S. Maternal Mortality Crisis: An International Comparison. https://www.commonwealthfund.org/publications/issue-briefs/2024/jun/insights-us-maternal-mortality-crisis-international-comparison Updated June 4, 2024. Accessed October 15, 2025.
  147. Fitzsimmons E, et al. Differential outcomes for African-American Women with cardiovascular complications of pregnancy. Curr Treat Options Cardiovasc Med. 2020;22(12):64.
    View this article via: CrossRef Google Scholar
  148. Tucker MJ, et al. The Black-White disparity in pregnancy-related mortality from 5 conditions: differences in prevalence and case-fatality rates. Am J Public Health. 2007;97(2):247–251.
    View this article via: CrossRef PubMed Google Scholar
  149. Miller EC, et al. Maternal race/ethnicity, hypertension, and risk for stroke during delivery admission. J Am Heart Assoc. 2020;9(3):e014775.
    View this article via: CrossRef PubMed Google Scholar
  150. Early ML, et al. Severe maternal morbidity and mortality in sickle cell disease in the national inpatient sample, 2012-2018. JAMA Netw Open. 2023;6(2):e2254552.
    View this article via: CrossRef PubMed Google Scholar
  151. Reidy KJ, et al. Fetal-not maternal-APOL1 genotype associated with risk for preeclampsia in those with African Ancestry. Am J Hum Genet. 2018;103(3):367–376.
    View this article via: CrossRef PubMed Google Scholar
  152. Yoshida T, et al. Preeclampsia in mice carrying fetuses with APOL1 risk variants [preprint]. https://doi.org/10.1101/2024.03.20.586039 Posted on bioRxiv March 25, 2024.
  153. Howell EA, et al. Site of delivery contribution to black-white severe maternal morbidity disparity. Am J Obstet Gynecol. 2016;215(2):143–152.
    View this article via: CrossRef PubMed Google Scholar
  154. Howell EA. Reducing disparities in severe maternal morbidity and mortality. Clin Obstet Gynecol. 2018;61(2):387–399.
    View this article via: CrossRef PubMed Google Scholar
  155. Powell-Wiley TM, et al. Social determinants of cardiovascular disease. Circ Res. 2022;130(5):782–799.
    View this article via: CrossRef PubMed Google Scholar
  156. Force USPST, et al. Screening for preeclampsia: US Preventive Services Task Force recommendation statement. JAMA. 2017;317(16):1661–1667.
    View this article via: CrossRef PubMed Google Scholar
  157. Cresswell JA, et al. Global and regional causes of maternal deaths 2009-20: a WHO systematic analysis. Lancet Glob Health. 2025;13(4):626–634.
    View this article via: CrossRef PubMed Google Scholar
  158. Tyrmi JS, et al. Genetic risk factors associated with preeclampsia and hypertensive disorders of pregnancy. JAMA Cardiol. 2023;8(7):674–683.
    View this article via: CrossRef PubMed Google Scholar
  159. Kivioja A, et al. Increased risk of preeclampsia in women with a genetic predisposition to elevated blood pressure. Hypertension. 2022;79(9):2008–2015.
    View this article via: CrossRef PubMed Google Scholar
  160. Honigberg MC, et al. Polygenic prediction of preeclampsia and gestational hypertension. Nat Med. 2023;29(6):1540–1549.
    View this article via: CrossRef PubMed Google Scholar
  161. McGinnis R, et al. Variants in the fetal genome near FLT1 are associated with risk of preeclampsia. Nat Genet. 2017;49(8):1255–1260.
    View this article via: CrossRef PubMed Google Scholar
  162. Arany Z. Peripartum cardiomyopathy. N Engl J Med. 2024;390(2):154–164.
    View this article via: CrossRef PubMed Google Scholar
  163. Banayan J, et al. Cardiogenic shock in pregnancy: Analysis from the National Inpatient Sample. Hypertens Pregnancy. 2017;36(2):117–123.
    View this article via: CrossRef PubMed Google Scholar
  164. Ware JS, et al. Shared genetic predisposition in peripartum and dilated cardiomyopathies. N Engl J Med. 2016;374(3):233–241.
    View this article via: CrossRef PubMed Google Scholar
  165. Yokoyama T, et al. Enhancement of myocardial damage and alteration of lymphocyte subsets in murine model of postpartum myocarditis. Am J Cardiovasc Pathol. 1993;4(4):343–351.
    View this article via: PubMed Google Scholar
  166. Onusko E, et al. Probenecid treatment improves outcomes in a novel mouse model of peripartum cardiomyopathy. PLoS One. 2020;15(3):e0230386.
    View this article via: CrossRef PubMed Google Scholar
  167. Hayakawa Y, et al. Inhibition of cardiac myocyte apoptosis improves cardiac function and abolishes mortality in the peripartum cardiomyopathy of Galpha(q) transgenic mice. Circulation. 2003;108(24):3036–3041.
    View this article via: CrossRef PubMed Google Scholar
  168. Faden MS, et al. A nationwide evaluation of spontaneous coronary artery dissection in pregnancy and the puerperium. Heart. 2016;102(24):1974–1979.
    View this article via: CrossRef PubMed Google Scholar
  169. Tarr I, et al. Exploring the genetic architecture of spontaneous coronary artery dissection using whole-genome sequencing. Circ Genom Precis Med. 2022;15(4):e003527.
    View this article via: CrossRef PubMed Google Scholar
  170. Kaadan MI, et al. Prospective cardiovascular genetics evaluation in spontaneous coronary artery dissection. Circ Genom Precis Med. 2018;11(4):e001933.
    View this article via: CrossRef PubMed Google Scholar
  171. Carss KJ, et al. Spontaneous coronary artery dissection: insights on rare genetic variation from genome sequencing. Circ Genom Precis Med. 2020;13(6):e003030.
    View this article via: CrossRef PubMed Google Scholar
  172. Nasiell J, Lindqvist PG. Aortic dissection in pregnancy: the incidence of a life-threatening disease. Eur J Obstet Gynecol Reprod Biol. 2010;149(1):120–121.
    View this article via: CrossRef PubMed Google Scholar
  173. De Martino A, et al. Acute aortic dissection and pregnancy: Review and meta-analysis of incidence, presentation, and pathologic substrates. J Card Surg. 2019;34(12):1591–1597.
    View this article via: CrossRef PubMed Google Scholar
  174. James AH. Venous thromboembolism in pregnancy. Arterioscler Thromb Vasc Biol. 2009;29(3):326–331.
    View this article via: CrossRef PubMed Google Scholar
  175. Cui J, et al. Spontaneous thrombosis in mice carrying the factor V Leiden mutation. Blood. 2000;96(13):4222–4226.
    View this article via: CrossRef PubMed Google Scholar
  176. Isermann B, et al. Tissue-restricted expression of thrombomodulin in the placenta rescues thrombomodulin-deficient mice from early lethality and reveals a secondary developmental block. Development. 2001;128(6):827–838.
    View this article via: CrossRef PubMed Google Scholar
  177. McClements L, et al. Impact of reduced uterine perfusion pressure model of preeclampsia on metabolism of placenta, maternal and fetal hearts. Sci Rep. 2022;12(1):1111.
    View this article via: CrossRef PubMed Google Scholar
  178. Morton JS, et al. Characterisation of the selective reduced uteroplacental perfusion (sRUPP) model of preeclampsia. Sci Rep. 2019;9(1):9565.
    View this article via: CrossRef PubMed Google Scholar
  179. Abitbol MM, et al. Production of experimental toxemia in the pregnant rabbit. Am J Obstet Gynecol. 1976;124(5):460–470.
    View this article via: CrossRef PubMed Google Scholar
  180. Losonczy G, et al. Increased peripheral resistance during reduced uterine perfusion pressure hypertension in pregnant rabbits. Am J Med Sci. 1992;303(4):233–240.
    View this article via: CrossRef PubMed Google Scholar
  181. Woods LL, Brooks VL. Role of the renin-angiotensin system in hypertension during reduced uteroplacental perfusion pressure. Am J Physiol. 1989;257(1 pt 2):204–209.
    View this article via: PubMed CrossRef Google Scholar
  182. Abitbol MM, et al. Placental lesions in experimental toxemia in the rabbit. Am J Obstet Gynecol. 1976;125(7):942–948.
    View this article via: CrossRef PubMed Google Scholar
  183. Abitbol MM, et al. Production of experimental toxemia in the pregnant dog. Obstet Gynecol. 1976;48(5):537–548.
    View this article via: PubMed Google Scholar
  184. Peeters LL, et al. Uteroplacental blood flow during pregnancy in chronically catheterized guinea pigs. Pediatr Res. 1982;16(9):716–720.
    View this article via: CrossRef PubMed Google Scholar
  185. Ogden E, et al. Rise of blood pressure during ischemia of the gravid uterus. Proc Soc Exp Biol Med. 1940;43(1):49–51.
    View this article via: CrossRef Google Scholar
  186. Golden JG, et al. Experimental toxemia in the pregnant guinea pig (Cavia porcellus). Lab Anim Sci. 1980;30(2 pt 1):174–179.
    View this article via: PubMed Google Scholar
  187. Leffler CW, et al. Effects of sodium chloride on pregnant sheep with reduced uteroplacental perfusion pressure. Hypertension. 1986;8(1):62–65.
    View this article via: CrossRef PubMed Google Scholar
  188. Clark KE, et al. A model for studying chronic reduction in uterine blood flow in pregnant sheep. Am J Physiol. 1982;242(2):H297–H301.
    View this article via: PubMed CrossRef Google Scholar
  189. Thatcher CD, et al. Pregnancy-induced hypertension: development of a model in the pregnant sheep. Am J Obstet Gynecol. 1986;155(1):201–207.
    View this article via: CrossRef PubMed Google Scholar
  190. Cavanagh D, et al. Pregnancy-induced hypertension: development of a model in the pregnant primate (Papio anubis). Am J Obstet Gynecol. 1985;151(7):987–999.
    View this article via: CrossRef PubMed Google Scholar
  191. Makris A, et al. Uteroplacental ischemia results in proteinuric hypertension and elevated sFLT-1. Kidney Int. 2007;71(10):977–984.
    View this article via: CrossRef PubMed Google Scholar
  192. Abitbol MM, et al. Experimental toxemia of pregnancy in the monkey, with a preliminary report on renin and aldosterone. Am J Pathol. 1977;86(3):573–590.
    View this article via: PubMed Google Scholar
  193. Lara E, et al. Abnormal cerebral microvascular perfusion and reactivity in female offspring of reduced uterine perfusion pressure (RUPP) mice model. J Cereb Blood Flow Metab. 2022;42(12):2318–2332.
    View this article via: CrossRef PubMed Google Scholar
  194. Davisson RL, et al. Discovery of a spontaneous genetic mouse model of preeclampsia. Hypertension. 2002;39(2 pt 2):337–342.
    View this article via: CrossRef PubMed Google Scholar
  195. Sones JL, et al. Decidual Cox2 inhibition improves fetal and maternal outcomes in a preeclampsia-like mouse model. JCI Insight. 2016;1(3):e75351.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  196. Gelber SE, et al. Prevention of defective placentation and pregnancy loss by blocking innate immune pathways in a syngeneic model of placental insufficiency. J Immunol. 2015;195(3):1129–1138.
    View this article via: CrossRef PubMed Google Scholar
  197. Gillis EE, et al. The Dahl salt-sensitive rat is a spontaneous model of superimposed preeclampsia. Am J Physiol Regul Integr Comp Physiol. 2015;309(1):62–70.
    View this article via: CrossRef PubMed Google Scholar
  198. Takushima S, et al. Changes in the nitric oxide-soluble guanylate cyclase system and natriuretic peptide receptor system in placentas of pregnant Dahl salt-sensitive rats. J Obstet Gynaecol Res. 2015;41(4):540–550.
    View this article via: CrossRef PubMed Google Scholar
  199. Gillis EE, et al. Sildenafil treatment ameliorates the maternal syndrome of preeclampsia and rescues fetal growth in the dahl salt-sensitive rat. Hypertension. 2016;67(3):647–653.
    View this article via: CrossRef PubMed Google Scholar
  200. Takimoto E, et al. Hypertension induced in pregnant mice by placental renin and maternal angiotensinogen. Science. 1996;274(5289):995–998.
    View this article via: CrossRef PubMed Google Scholar
  201. Bohlender J, et al. Rats transgenic for human renin and human angiotensinogen as a model for gestational hypertension. J Am Soc Nephrol. 2000;11(11):2056–2061.
    View this article via: CrossRef PubMed Google Scholar
  202. Haase N, et al. RNA interference therapeutics targeting angiotensinogen ameliorate preeclamptic phenotype in rodent models. J Clin Invest. 2020;130(6):2928–2942.
    View this article via: JCI CrossRef PubMed Google Scholar
  203. Irani RA, Xia Y. Renin angiotensin signaling in normal pregnancy and preeclampsia. Semin Nephrol. 2011;31(1):47–58.
    View this article via: CrossRef PubMed Google Scholar
  204. Lai Z, et al. A critical role of interleukin-10 in modulating hypoxia-induced preeclampsia-like disease in mice. Hypertension. 2011;57(3):505–514.
    View this article via: CrossRef PubMed Google Scholar
  205. Cubro H, et al. Mechanisms of vascular dysfunction in the interleukin-10-deficient murine model of preeclampsia indicate nitric oxide dysregulation. Kidney Int. 2021;99(3):646–656.
    View this article via: CrossRef PubMed Google Scholar
  206. Chatterjee P, et al. Interleukin 10 deficiency exacerbates toll-like receptor 3-induced preeclampsia-like symptoms in mice. Hypertension. 2011;58(3):489–496.
    View this article via: CrossRef PubMed Google Scholar
  207. Chatterjee P, et al. Interleukin-4 deficiency induces mild preeclampsia in mice. J Hypertens. 2013;31(7):1414–1423.
    View this article via: CrossRef PubMed Google Scholar
  208. Alexander BT, et al. Tumor necrosis factor-alpha-induced hypertension in pregnant rats results in decreased renal neuronal nitric oxide synthase expression. Am J Hypertens. 2002;15(2 pt 1):170–175.
    View this article via: CrossRef PubMed Google Scholar
  209. LaMarca BB, et al. Role of endothelin in mediating tumor necrosis factor-induced hypertension in pregnant rats. Hypertension. 2005;46(1):82–86.
    View this article via: CrossRef PubMed Google Scholar
  210. Tinsley JH, et al. Toll-like receptor 3 activation during pregnancy elicits preeclampsia-like symptoms in rats. Am J Hypertens. 2009;22(12):1314–1319.
    View this article via: CrossRef PubMed Google Scholar
  211. Fan M, et al. LPS induces preeclampsia-like phenotype in rats and HTR8/SVneo cells dysfunction through TLR4/p38 MAPK Pathway. Front Physiol. 2019;10:1030.
    View this article via: CrossRef PubMed Google Scholar
  212. Faas MM, et al. A new animal model for human preeclampsia: ultra-low-dose endotoxin infusion in pregnant rats. Am J Obstet Gynecol. 1994;171(1):158–164.
    View this article via: CrossRef PubMed Google Scholar
  213. Cotechini T, et al. Inflammation in rat pregnancy inhibits spiral artery remodeling leading to fetal growth restriction and features of preeclampsia. J Exp Med. 2014;211(1):165–179.
    View this article via: CrossRef PubMed Google Scholar
  214. de Alwis N, et al. The L-NAME mouse model of preeclampsia and impact to long-term maternal cardiovascular health. Life Sci Alliance. 2022;5(12):e202201517.
    View this article via: CrossRef PubMed Google Scholar
  215. Ramesar SV, et al. Sildenafil citrate improves fetal outcomes in pregnant, L-NAME treated, Sprague-Dawley rats. Eur J Obstet Gynecol Reprod Biol. 2010;149(1):22–26.
    View this article via: CrossRef PubMed Google Scholar
  216. Soobryan N, et al. The effects of sildenafil citrate on uterine angiogenic status and serum inflammatory markers in an L-NAME rat model of pre-eclampsia. Eur J Pharmacol. 2017;795:101–107.
    View this article via: CrossRef PubMed Google Scholar
  217. Molnar M, et al. Prolonged blockade of nitric oxide synthesis in gravid rats produces sustained hypertension, proteinuria, thrombocytopenia, and intrauterine growth retardation. Am J Obstet Gynecol. 1994;170(5 pt 1):1458–1466.
    View this article via: CrossRef PubMed Google Scholar
  218. Buhimschi I, et al. Pre-eclampsia-like conditions produced by nitric oxide inhibition: effects of L-arginine, D-arginine and steroid hormones. Hum Reprod. 1995;10(10):2723–2730.
    View this article via: CrossRef PubMed Google Scholar
  219. Martinez-Fierro ML, et al. Fibroblast growth factor type 2 (FGF2) administration attenuated the clinical manifestations of preeclampsia in a murine model induced by L-NAME. Front Pharmacol. 2021;12:663044.
    View this article via: CrossRef PubMed Google Scholar
  220. Lu F, et al. The effect of over-expression of sFlt-1 on blood pressure and the occurrence of other manifestations of preeclampsia in unrestrained conscious pregnant mice. Am J Obstet Gynecol. 2007;196(4):396.e1–7.
    View this article via: CrossRef PubMed Google Scholar
  221. Kuhnel E, et al. Placental-specific overexpression of sFlt-1 alters trophoblast differentiation and nutrient transporter expression in an IUGR mouse model. J Cell Biochem. 2017;118(6):1316–1329.
    View this article via: CrossRef PubMed Google Scholar
  222. Vogtmann R, et al. Circulating maternal sFLT1 (soluble fms-like tyrosine kinase-1) is sufficient to impair spiral arterial remodeling in a preeclampsia mouse model. Hypertension. 2021;78(4):1067–1079.
    View this article via: CrossRef PubMed Google Scholar
  223. Bridges JP, et al. Oxidative stress contributes to soluble fms-like tyrosine kinase-1 induced vascular dysfunction in pregnant rats. Am J Hypertens. 2009;22(5):564–568.
    View this article via: CrossRef PubMed Google Scholar
  224. Li Z, et al. Recombinant vascular endothelial growth factor 121 attenuates hypertension and improves kidney damage in a rat model of preeclampsia. Hypertension. 2007;50(4):686–692.
    View this article via: CrossRef PubMed Google Scholar
  225. Ahmed A, et al. A new mouse model to explore therapies for preeclampsia. PLoS One. 2010;5(10):e13663.
    View this article via: CrossRef PubMed Google Scholar
  226. Qing X, et al. Targeted inhibition of complement activation prevents features of preeclampsia in mice. Kidney Int. 2011;79(3):331–339.
    View this article via: CrossRef PubMed Google Scholar
  227. Kanasaki K, et al. Deficiency in catechol-O-methyltransferase and 2-methoxyoestradiol is associated with pre-eclampsia. Nature. 2008;453(7198):1117–1121.
    View this article via: CrossRef PubMed Google Scholar
  228. Parchem JG, et al. Loss of placental growth factor ameliorates maternal hypertension and preeclampsia in mice. J Clin Invest. 2018;128(11):5008–5017.
    View this article via: JCI CrossRef PubMed Google Scholar
  229. Doridot L, et al. Preeclampsia-like symptoms induced in mice by fetoplacental expression of STOX1 are reversed by aspirin treatment. Hypertension. 2013;61(3):662–668.
    View this article via: CrossRef PubMed Google Scholar
  230. Collinot H, et al. Preeclampsia induced by STOX1 overexpression in mice induces intrauterine growth restriction, abnormal ultrasonography and BOLD MRI signatures. J Hypertens. 2018;36(6):1399–1406.
    View this article via: CrossRef PubMed Google Scholar
  231. Perschbacher KJ, et al. Reduced mRNA expression of RGS2 (regulator of G protein signaling-2) in the placenta is associated with human preeclampsia and sufficient to cause features of the disorder in mice. Hypertension. 2020;75(2):569–579.
    View this article via: CrossRef PubMed Google Scholar
  232. Holobotovskyy V, et al. Regulator of G protein signaling 5 is a determinant of gestational hypertension and preeclampsia. Sci Transl Med. 2015;7(290):290ra88.
    View this article via: CrossRef PubMed Google Scholar
  233. Sandgren JA, et al. Arginine vasopressin infusion is sufficient to model clinical features of preeclampsia in mice. JCI Insight. 2018;3(19):e99403.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  234. Santillan MK, et al. Vasopressin in preeclampsia: a novel very early human pregnancy biomarker and clinically relevant mouse model. Hypertension. 2014;64(4):852–859.
    View this article via: CrossRef PubMed Google Scholar
  235. Scroggins SM, et al. Elevated vasopressin in pregnant mice induces T-helper subset alterations consistent with human preeclampsia. Clin Sci (Lond). 2018;132(3):419–436.
    View this article via: CrossRef PubMed Google Scholar
  236. Ramdin S, et al. Physiological characterization of an arginine vasopressin rat model of preeclampsia. Syst Biol Reprod Med. 2022;68(1):55–69.
    View this article via: CrossRef PubMed Google Scholar
  237. Ho L, et al. ELABELA deficiency promotes preeclampsia and cardiovascular malformations in mice. Science. 2017;357(6352):707–713.
    View this article via: CrossRef PubMed Google Scholar
  238. Pritchard N, et al. ELABELA/APELA levels are not decreased in the maternal circulation or placenta among women with preeclampsia. Am J Pathol. 2018;188(8):1749–1753.
    View this article via: CrossRef PubMed Google Scholar
  239. Georgiadou D, et al. Peptide hormone ELABELA enhances extravillous trophoblast differentiation, but placenta is not the major source of circulating ELABELA in pregnancy. Sci Rep. 2019;9(1):19077.
    View this article via: CrossRef PubMed Google Scholar
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  • Abstract
  • Introduction
  • Physiology of cardiovascular changes during pregnancy
  • Cardiovascular complications of pregnancy
  • Racial and ethnic disparities
  • Conclusions and future directions
  • Funding support
  • Footnotes
  • References
  • Version history
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