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REVIEW article

Front. Pharmacol., 27 November 2025

Sec. Cardiovascular and Smooth Muscle Pharmacology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1682105

Echocardiographic assessment and new advances of right ventricle function in rats with pulmonary hypertension

  • 1Department of Cardiovascular Disease, The Affiliated Hospital of Qinghai University, Xining, China
  • 2Clinical Medical College, Affiliated Hospital of Chengdu University, Chengdu, China

Pulmonary Hypertension (PH) is a pathophysiological disease characterized by abnormally elevated pulmonary artery pressures due to a variety of known or unknown causes, which may ultimately lead to right ventricle (RV) failure or even death. The rat has become a major animal model of PH study because of its low cost, genetic control, and similarity of pathologic features to humans. The assessment of right heart function is crucial for basic research on PH and the diagnosis/treatment of PH diseases. Ultrasound imaging has become one of the main methods for assessing right heart function because of its noninvasive measurement, its ability to dynamically monitor the morphology and function of the rat heart, and its low cost and ease of use. Moreover, the new ultrasound technology of speckle tracking is able to detect myocardial dysfunction earlier and more sensitively, and three-dimensional ultrasound generates three-dimensional images of the heart, which is able to more accurately assess the morphology and functional changes of the right heart. In addition, correlation analysis of ultrasound indexes with the gold standard found that pulmonary acceleration time (PAT), PAT/pulmonary ejection time (PET) measured by ultrasound with pulmonary artery systolic pressure (PASP) measured by right heart catheterization (RHC); PAT measured by ultrasound with mean pulmonary artery pressure (mPAP) by RHC; and right ventricular free wall thickness (RVFWT) measured by ultrasound with Fulton’s index, showed good correlation. In this paper, we reviewed the pathologic changes of the heart in PH, the modeling methods of PH rat model, ultrasound imaging for the assessment of right heart function and the advantages of speckle tracking and three-dimensional ultrasound as emerging ultrasound technologies. And we also proposed that the multimodal fusion of ultrasound and cardiac magnetic resonance (CMR), micro computed tomography (micro-CT), artificial intelligence (AI) could be the future direction of cardiac function assessment in PH rat. Accurate assessment of right ventricular function is crucial for further research into the molecular mechanisms of PH and drug screening.

Highlights

• The symptoms of pulmonary hypertension are severe, and RV failure is the outcome. In patients with PH, right ventricular function status is the most critical independent prognostic predictor. Animal models can more accurately simulate the pathophysiological characteristics and therapeutic responses of human diseases. Therefore, assessment of right heart function is crucial. Ultrasound imaging technology has become a very important tool for assessing right heart function in rats because of its ability to provide in vivo, non-invasive, dynamic assessment.

• Correlation analysis of ultrasound indexes with the gold standard was done and found that PAT, PAT/PET measured by ultrasound with PASP measured by RHC; PAT measured by ultrasound with mPAP by RHC; and RVFWT measured by ultrasound with Fulton’s index, showed good correlation.

• The multimodal fusion of ultrasound and MRI or micro-CT or AI might be the future development trend and direction of cardiac function assessment in PH rat.

• Accurate assessment of right ventricular function in rats with pulmonary hypertension is crucial in basic research on the molecular mechanisms and drug screening of PH.

1 Introduction

Pulmonary hypertension (PH) is a pathophysiological disease characterized by abnormally elevated pulmonary arterial pressures due to a variety of known or unknown causes, which may eventually lead to RV failure or even death. Its diagnostic criterion is a mean pulmonary artery pressure (mPAP) ≥20 mmHg (≥25 mmHg in the old criterion) measured by right heart catheterization (RHC) at sea level and at rest. The etiology of PH is complex and varied, the World Health Organization has classified PH into five clinical subgroups: pulmonary arterial hypertension (PAH) (group 1); PH due to left-sided heart disease (group 2); PH due to lung disease and/or hypoxemia (group 3); PH due to pulmonary artery obstruction including chronic thromboembolism (group 4), and PH related to multifactorial causes (group 5) (Johnson et al., 2023). The morbidity and mortality of PH are high and have been on the rise in recent years. Currently, PH affects at least 1% of the world’s population and is more prevalent in low- and middle-income countries (Mocumbi et al., 2024; Hoeper et al., 2016). PH due to left-sided heart disease, PH due to lung disease and/or hypoxemia is the most common type in the clinic. Patients with PH often present clinically with symptoms such as dyspnea, fatigue, and chest pain, and with the disease progressing, it may lead to RV failure or even death (Johnson et al., 2023). Therefore, the assessment of right heart function is crucial in basic research and clinical diagnosis and treatment of PH.

The rat has become a major animal model for basic PH research because of its low cost, genetic control, and similarity of pathological features to humans (Maarman et al., 2013; Sztuka and Jasińska-Stroschein, 2017). Firstly, the feeding and experimental equipment cost of rats is relatively low. Secondly, the establishment methods of rat model are relatively simple, such as chronic hypoxia induction method and monocrotaline (MCT) induction method, etc., and the cost of reagents and operation is also low. In addition, the genetic background of rats is relatively clear, which can reduce the influence of genetic heterogeneity on the experimental results and improve the reliability and reproducibility of the study. More importantly, the rat PH models can mimic the key pathological features of human PH, such as endothelial cell injury, smooth muscle cell proliferation, vascular remodeling and right heart hypertrophy (Wu et al., 2022; Boucherat et al., 2022). For example, the rat PH model induced by MCT is more similar in pathophysiological changes to the PH caused by inflammation in humans (Maarman et al., 2013); the rat PH model induced by chronic hypoxic exposure can lead to pulmonary vasoconstriction, vascular remodeling, and right cardiac hypertrophy, which is also consistent with the pathophysiological process of chronic hypoxic PH in humans (Ryan et al., 2011; Cai et al., 2023). Moreover, the response of PH therapeutic drugs in rats are also similar to those in humans, and can be used for drug screening and efficacy assessment to provide the basis for clinical trials (Dignam et al., 2022).

Among the cardiac function assessment tools for rats with PH, ultrasound imaging is an in vivo, noninvasive and dynamically monitorable examination method, which allows real-time observation of structural and functional changes in the heart, providing detailed information about the changes of the heart in different physiologic and pathologic states. For example, during the establishment of the PH rat model, ultrasound imaging can be performed periodically to assess the changes in right ventricular function, thus providing a better understanding of the disease process and the effects of drug therapy (Thijssen and de Korte, 2014; Sztechman et al., 2020). Moreover, the emerging speckle tracking technology in ultrasound imaging can analyze the trajectory and strain of the myocardium by tracking the echo speckle signals in the myocardial tissues, and sensitively detect abnormalities in myocardial function, providing a basis for the assessment and early diagnosis of the right cardiac function in PH (Mondillo et al., 2011). In addition, three-dimensional (3D) ultrasound technology in ultrasound imaging can more intuitively and comprehensively display the morphology and volume of right ventricular (RV), etc., which assess the structure and function of the heart more comprehensively and accurately (La et al., 2018). Futhermore, 3D ultrasound can be combined with other technology such as speckle tracking, cardiac magnetic resonance (CMR), micro computed tomography (micro-CT), and artificial intelligence (AI) to further improve the assessment of right ventricular function in terms of accuracy and precision (Gillam and Marcoff, 2024).

In this paper, we review the pathologic changes of the heart in PH, the application of ultrasound imaging in the assessment of the right heart in PH rat, the advantages of emerging ultrasound technologies (speckle tracking and three-dimensional ultrasound imaging), and the future direction of cardiac function assessment. We hope that it will provide an important reference for the research on molecular mechanisms and drug screening of PH. Figure 1 provides an overview of the content included in this review.

Figure 1
Flowchart illustrating a process for pulmonary hypertension (PH) research. It begins with PH patients showing severe symptoms, leading to the establishment of PH rat models. Cardiac function and structure changes are observed in these rats. An ultrasound image is taken and analyzed using echocardiography. The future direction involves multimodal fusion, including CMR (Cardiac Magnetic Resonance), micro-CT, and AI technologies.

Figure 1. (a) PH patients: severe symptoms, extremely poor prognosis. (b) Establishing the PH rat models for basic mechanism research on PH. (c) Changes of cardiac function and structure in PH rats. (d) Ultrasound image detection. (e) Echocardiogram. (f) Future direction: multimodal integration. Original figure created with BioRender.com. PH, Pulmonary hypertension; CMR, Cardiac magnetic resonance; micro-CT, Micro computed tomography; AI, Artificial intelligence.

2 Pathologic changes of the heart in PH

PH leads to pathological changes such as right ventricular hypertrophy (RVH) and RV failure. RV failure is caused by the combination of pathological inflammation (Hassoun, 2021), endothelial dysfunction (Park et al., 2021), vascular remodeling (Ichimura et al., 2024), right ventricular remodeling (Park et al., 2021), metabolic disorders (Fowler et al., 2019), myocardial fibrosis (Vang et al., 2021), atrial dilatation (Wessels et al., 2022), disturbances in autonomic regulation and genetic factors (Wessels et al., 2023a; Vonk et al., 2019).

In the early stage of PH, elevated pulmonary artery pressure increases the afterload on RV, which in turn leads to progressive hypertrophy of RV to enhance myocardial contractility and maintain stable cardiac output (CO) (Vonk-Noordegraaf et al., 2013; Llucià-Valldeperas et al., 2021; Zelt et al., 2022). In the late stages of PH, long-term elevated pulmonary artery pressure causes a sustained increase in right ventricular afterload, which in turn leads to right heart dilatation, myocardial dysfunction and RV failure (Wessels et al., 2022; Vonk Noordegraaf et al., 2017; Wessels et al., 2023b). Firstly, long-lasting pressure overload of RV causes myocardial metabolic disorders, which in turn lead to myocardial dysfunction (Chan and Rubin, 2017; Agrawal et al., 2022; Kazmirczak et al., 2023). Besides, long-term elevated pulmonary artery pressure also leads to thickening of the right ventricular wall and reduced perfusion of the coronary arteries within the myocardium, which further exacerbate myocardial ischemia, hypoxia and myocardial dysfunction. In addation, chronic pressure overload leads to further progressive deterioration of right ventricular function, ultimately leading to right ventricular failure (Hassoun, 2021; Tello et al., 2019). Moreover, pathologic changes in the RV may result in the curvature of the interventricular septum toward the left ventricle, left ventricular diastolic restriction, and decreased cardiac output (Kishiki et al., 2019; Hardegree et al., 2013; Bousseau et al., 2023). Figure 2 demonstrates the pathologic changes of the heart in PH.

Figure 2
Comparison of heart anatomy: Panel a shows a normal heart with balanced ventricles. Panel b depicts a pulmonary hypertension (PH) heart with right heart dilation and the interventricular septum curving toward the left ventricle, indicating right ventricular failure.

Figure 2. Cardiologic changes in PH. (a) Normal heart. (b) The heart in PH. The right heart dilation, right ventricular failure, the interventricular septum curves toward the left ventricle, and RV-PA become uncoupled. Original figure created with BioRender.com. PH, Pulmonary hypertension; RV-PA, Right ventricle and pulmonary artery.

3 Commonly used PH rat models and their model characteristics

The main commonly used rat models of PH include the MCT-induced PH rat model, the chronic hypoxia-induced PH rat model, the Sugen5416/hypoxia (SuHx)-induced PH rat model, and the bypass surgery-induced PH rat model. Table 1 summarizes the characteristics of above commonly used rat models of PH, including modeling methods, advantages, limitations, and types of human PH that can be simulated.

Table 1
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Table 1. Characteristics of currently used rat PH models.

The MCT-induced PH rat model is established by a single intraperitoneal or subcutaneous injection of MCT (60–80 mg/kg). Toxic metabolites produced by MCT in vivo can directly damage pulmonary vascular endothelial cells, leading to endothelial cell dysfunction and apoptosis, which triggers pulmonary vasoconstriction and vascular remodeling, increases pulmonary vascular resistance, and ultimately developing PH (Maarman et al., 2013). In this model, the disease progresses rapidly. Obvious PH symptoms such as elevated mean pulmonary artery pressure (mPAP), elevated pulmonary vascular resistance (PVR), elevated right ventricular systolic blood pressure, and right cardiac hypertrophy can be seen within 3–4 weeks after MCT injection. As the disease progressing, this model develops right ventricular dysfunction and RV failure (Morimatsu et al., 2012). In addition, this model has obvious pulmonary vascular pathologic changes, which can be seen as pulmonary artery endothelial cell damage and thickening of the intima-media of the small pulmonary arteries, etc., which is especially capable of mimicing the PH caused by inflammation in human PH (group 1) (Wu et al., 2022). Besides, this model is stable, and the physiological indexes and pathological changes are more consistent between different batches of rats under the same MCT dose and experimental conditions (Maarman et al., 2013). Although the model is simple to operate and the disease progresses quickly, MCT is more toxic and may cause some toxic effects on other organs such as liver and kidney in addition to the damage to the pulmonary vasculature. In addition, its PH pathology is not fully consistent with human PH and lacks some of the characteristic changes in human PH, such as the absence of severe vaso-occlusive lesions (tufted lesions and endothelial hyperplasia) (Boucherat et al., 2022).

The chronic hypoxia-induced PH rat model was established by exposing rats to the hypoxic environment, mimicing the hypoxic conditions of certain pathological states or plateau environments, setting the oxygen concentration at about 10% (equivalent to about 7,000 m above sea level), and continuing the exposure for a certain period of time (3–4 weeks) (Irwin et al., 2015), which resulted in pulmonary vasoconstriction, elevated pulmonary artery pressure, as well as pulmonary vascular endothelial cell dysfunction, smooth muscle cell proliferation and vascular remodeling, and ultimately the development of PH (Ma et al., 2015). With prolonged hypoxic exposure, right ventricular hypertrophy occurs, but right heart dysfunction occurs relatively late (Cai et al., 2023). The model has a narrow scope of application and is mainly used to study PH caused by lung diseases and/or hypoxemia (group 3), and is not comprehensive enough to mimic other types of PH in humans. The model is relatively simple to operate, only need to control the hypoxic environment, no need to use special drugs, but the hypoxia chamber equipment is expensive. In addition, this model induces a relatively mild degree of PH, insignificant vascular remodeling, and slow disease progression for a long experimental period.

The Sugen/hypoxia (SuHx)-induced PH rat model was established by subcutaneously injecting rats with Sugen5416 (typically 20 mg/kg), and exposing them to the hypoxic environment (typically 10% O2) for a certain period of time (typically 3–4 weeks), and then restoring normoxia (typically 3–5 weeks). Sugen5416 is an inhibitor of vascular endothelial growth factor receptor-2 (VEGFR-2). Under hypoxic conditions, Sugen5416 leads to apoptosis of endothelial cells while stimulating the proliferation of new endothelial cells and smooth muscle cells, which causes pathological remodeling of the pulmonary vasculature, and meanwhile, leads to increased pulmonary arterial pressures and right ventricular remodeling as well as severe RV failure. Under the combined effect of hypoxia and Sugen5416, the formation and development of PH in this model has sereval certain stage. A gradual evolution from early pulmonary vasoconstriction to late vascular remodeling and right ventricular dysfunction can be observed, and even severe PH could be induced ultimately (Boucherat et al., 2022; Bikou and Sassi, 2024). This model not only has pulmonary vascular remodeling and right ventricular remodeling, but also has plexiform lesions and right ventricular failure. And the pathological features of this model cannot be reversed after being placed in normoxia, as well as the diseased organs are mainly targeted to the lungs, which is able to better mimic the pathogenesis of human PH (group 1), and is suitable for long-term and in-depth mechanistic studies of human PH (group 1). However, this model has some limitations, such as the fact that human inflammatory cell (macrophage/monocyte) infiltration is usually not seen in its perivascular periphery, and there is a large variation between strains [e.g., Fischer rats and Sprague Dawley (SD) rats] (Ryan et al., 2011; Suen et al., 2019).

The shunt surgery-induced PH rat model is established by creating abnormal aorta-pulmonary artery or abdominal aorta-inferior vena cava blood flow pathway for typically 3–4 weeks (Meng et al., 2013; Garcia and Diebold, 1990). The abnormal blood flow channels lead to increased blood flow in the pulmonary circulation and elevated pulmonary artery pressure. Long-term elevated pulmonary artery pressure causes pulmonary vascular remodeling, significant increase in right ventricular hypertrophy index, right ventricular dysfunction, etc. These pathological changes are similar to PH caused by congenital heart disease (CHD) in humans, and better mimic the PH caused by CHD in human PH (group 1) (Stenmark et al., 2009; Bisserier et al., 2022). However, this model requires microsurgical techniques for vascular anastomosis, which needs a high level of experimenter skill. In addition, there are many postoperative complications, high surgical mortality (up to 10% within 24 h after surgery) and poor consistency of pathological manifestations in surviving animals. In addition, the degree of pulmonary artery pressure elevation is affected by the fractional flow, which makes the experiment less controllable (Meng et al., 2013; Garcia and Diebold, 1990).

The PAB model involves placing an adjustable band on the main pulmonary artery of rats to create a fixed stenosis, thereby increasing resistance to right ventricular ejection (Maarman et al., 2013). The band creates fixed outflow tract obstruction, causing a sharp rise in right ventricular systolic pressure (RVSP) and elevated pulmonary artery pressure (PAP). Over time, the right ventricle undergoes a progression from compensation to decompensation, developing compensatory hypertrophy that eventually evolves into RV failure. The primary pathological changes occur in the right ventricle, with no pulmonary vascular pathology (Wang et al., 2017; Shanks et al., 2009; Vandamme, 2015). It is commonly used to simulate right ventricular pressure overload diseases (group 2), such as congenital right ventricular outflow tract obstruction caused by pulmonary valve stenosis. It is frequently employed to study right ventricular remodeling under pressure overload and the molecular mechanisms of RV failure (Wang et al., 2017; Stenmark et al., 2009; Hayashi et al., 2025). Additionally, this model offers controllable manipulation and excellent reproducibility. However, the procedure is technically demanding, requiring skilled microsurgical techniques, and carries a relatively high operative mortality rate (Wang et al., 2017; Shanks et al., 2009; Vandamme, 2015).

4 Pharmacological studies in a rat model of PH

Pharmacological research in rat models of PH primarily focuses on exploring novel compounds, drug delivery systems, and signaling pathway regulatory mechanisms.

For instance, Dhananjayan et al. (2025) found that the EPA derivative 5,6-diHETE lactone improves MCT-induced rat PH by activating the endothelial PLC-IP3 signaling pathway, thereby reducing mean pulmonary artery pressure and pulmonary vascular remodeling. Italian researchers (Thomas et al., 2009) reported that the novel compound sotatercept alleviates pulmonary vascular remodeling in the MCT model by inhibiting SMAD2 phosphorylation, among other mechanisms.

Additionally, Chida-Nagai et al. (2025) developed pulmonary artery-targeted metformin nanocapsules that significantly improved hemodynamics and right ventricular hypertrophy in MCT rats by activating the AMPK pathway.

Furthermore, multiple studies including those by Sanada et al. (2021), Yung et al. (2016) confirmed activation of the TGF-β/SMAD pathway in PH models. Targeted intervention was shown to inhibit pulmonary vascular smooth muscle proliferation, thereby exerting therapeutic effects against PH.

5 Ultrasonographic detection in PH rat models

Among the cardiac function assessment tools for rats with PH, ultrasound imaging is an in vivo, noninvasive and dynamically monitorable examination method. The basic imaging modalities of ultrasound imaging are two-dimensional (2D), M-mode, pulsed wave Doppler (PWD), and color Doppler, and tissue Doppler imaging (Hockstein et al., 2021).

Two-dimensional imaging, the most basic imaging modality, provides real-time two-dimensional images of the heart and can be used to measure the morphology, size of the heart, such as ventricular internal diameter, the ventricular wall thickness, etc (Brugger et al., 2021). M-mode is used to acquire one-dimensional image of the linear region of interest over time by selecting the region on two-dimensional image, such as tricuspid annular plane systolic excursion (TAPSE), fractional shortening (FS), etc. The color Doppler mode visualizes the direction of blood flow and helps to detect blood flow abnormalities such as reflux. Pulse Doppler mode is used to analyze blood flow velocity and assess blood flow in a vessel of interest. The sampling volume is placed inside the vessel to measure parameters such as peak tricuspid flow velocity of the early rapid filling wave (E), peak velocity of the late filling wave due to atrial contraction (A). Tissue Doppler imaging (TDI) is different from pulse Doppler. TDI is mainly used to measure the motion velocity of myocardial tissue and can be used to measure myocardial systolic and diastolic function indexes, such as tissue Doppler-derived right ventricular systolic excursion velocity (S′), early diastolic myocardial relaxation velocity (E′) (Kjærgaard, 2012; Smolarek et al., 2017).

5.1 Commonly used indexes for ultrasound detection in PH rat models

The indexes commonly used in the evaluation of the right heart in PH rats are: tricuspid annular plane systolic excursion (TAPSE), right ventricular systolic excursion velocity (S′), right ventricular fractional area change (RVFAC), E/E′, right ventricular free wall thickness (RVFWT), pulmonary acceleration time (PAT)/pulmonary ejection time (PET), TAPSE/PAT. Table 2 summarizes the characteristics of these commonly used indexes in PH rat models, including ultrasound measurement methods, the reference thresholds in PH rat models, significance, advantages, and limitations. The ultrasound windows commonly used to assess cardiac structure and function are the parasternal long-axis (PLAX) view, the parasternal short-axis (PSAX) view, and the apical four-chamber (A4C) view. Figure 3 demonstrates the probe positioning and the direction of the probe landmarks for these ultrasound windows.

Table 2
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Table 2. Commonly used indexes for ultrasound detection in PH rat.

Figure 3
Three illustrations labeled a, b, and c, depict a rat from a dorsal view with diagrams showing needle insertion angles into the chest area. Green arrows indicate varying approaches, with each illustration showing a different angle and position relative to the heart.

Figure 3. Ultrasound probe localization for cardiac ultrasound detection in PH rat. (a) Probe localization in the PLAX view, arrow indicates the direction of the probe marker. (b) Probe localization in the PSAX view, arrow indicates the direction of the probe marker. (c) Probe localization in the A4C view, arrow indicates the direction of the probe marker. Original figure created with BioRender.com. PH, Pulmonary hypertension; PLAX view, Parasternal long-axis view; PSAX view, Parasternal short-axis view; A4C view, Apical four-chamber view.

5.1.1 Tricuspid annular plane systolic excursion (TAPSE)

The TAPSE index is the measure of the distance that the right ventricular tricuspid annulus moves along the longitudinal plane during systole in the A4C view. It represents right ventricular longitudinal systolic function. During measurement, the M sampling wire is usually placed at the tricuspid annulus, and the longitudinal displacement of the annulus at peak contraction is measured to acquire TAPSE. This method is similar to the measurement of systolic displacement of the mitral annulus using TDI. The greater the amplitude of basal segment motion during systole, the greater the TAPSE value, which represents better ventricular systolic function (Aloia et al., 2016; Mazurek et al., 2017).

Yoshiyuki et al. (2016) studied the effects of sildenafil on right ventricular function in MCT-induced PH rats, and assessed the alteration of right ventricular function in PH rats using the TAPSE index. The TAPSE value of rats measured in the saline control group was 2.3 mm, which was reduced to 1.4 mm after 6 weeks of treatment with MCT. Abdallah Alzoubi et al. (2013) studied the effect of dehydroepiandrosterone (DHEA) on RV of severe PH rats, and they found that TAPSE value of rats in the normal group was 3.45 mm, while TAPSE value in the model group was 2.18 mm, which was significantly lower than that of the normal group.

In addition, Rosas et al. (2023) constructed MCT-induced PH rat models, and measured the mean value of TAPSE to be 3.33 mm in the control group and 1.47 mm in the PH group. Spyropoulos et al. (2020) verified some echocardiographic parameters in the chronic hypoxia and SuHx-induced PH rat models and determined their standardized values. They found that in the chronic hypoxia-induced PH rat model, the mean TAPSE values of the control group and the experimental group were 3.2 mm and 2.1 mm, respectively. In the SuHx-induced PH rat model, the TAPSE values were 2.4 mm and 1.6 mm in the control and experimental groups, respectively. Zhu et al. (2019) established the SuHx-induced PH rat model and the MCT-induced PH rat model, and measured the TAPSE in the A4C view. It was found that TAPSE of the PH group was significantly reduced, and the TAPSE of the control and experimental groups in the SuHx rat model was 2.8 mm and 2.2 mm, respectively. In MCT-induced PH rat model, TAPSE was 3.0 mm and 1.9 mm in the control and experimental groups, respectively.

In humans, TAPSE <17 mm is highly suggestive of right ventricular systolic dysfunction (Zaidi et al., 2020). In PH rat models, there is not study or guideline that gives a clear range of reference values. It may be due to the small size of the rat heart, the complex right ventricular geometrical structure, and much higher heart rate than that of humans that makes ultrasound imaging difficult, etc.

5.1.2 Right ventricular systolic excursion velocity (S′)

S' is similar to the TAPSE index and is an important measure of right ventricular longitudinal systolic function. It is a reproducible and easily acquired measure of right ventricular systolic function. S′ is measured by placing the sampled volume in the lateral annulus of the tricuspid valve or the basal segment of the right ventricular free wall in the A4C view and using tissue Doppler to measure right ventricular systolic excursion velocity in this target region (DiLorenzo et al., 2015).

Rosas et al. (2023) constructed the MCT-induced PH rat model. The mean value of S′ was measured to be 62.6 mm/s in the control group and 25.9 mm/s in the PH group. In humans, especially in younger adult patients, S' < 90 mm/s is suspected for abnormal right ventricular function (Zaidi et al., 2020; Lang et al., 2015). In PH rat, there is still without clear range of reference values.

5.1.3 Right ventricular fractional area change (RVFAC)

RVFAC % = (end-diastolic area − end-systolic area) ÷ end-diastolic area × 100%. FAC can be measured by tracing the right ventricular endocardial area in the A4C view. It reflects right ventricular systolic function (Bao et al., 2022; Li et al., 2016).

Rosas et al. (2023) constructed the MCT-induced PH rat model. The mean value of RVFAC was measured to be 44% in control rats and 15% in PH rats. In addition, Zhu et al. (2019) established SuHx-induced PH rat model and MCT-induced PH rat model, measured RVFAC, and found that RVFAC was significantly lower in PH group. In the SuHx-induced rat model, FAC was 72% and 38% in the control and PH groups, respectively; in the MCT-induced PH rat model, FAC was 71% and 52% in the control and PH groups, respectively. In humans, RVFAC are more clinically valuable than right ventricular ejection fraction (RVEF), and the normal reference thresholds for FAC is ≥30% in men and ≥35% in women. When FAC is less than 35%, it is highly suggestive of right ventricular dysfunction (Kou et al., 2014). In PH rat models, there is still without clear range of reference thresholds.

5.1.4 Peak tricuspid flow velocity of the early rapid filling wave (E)/early diastolic myocardial relaxation velocity (E′)

E/E′ is one of the indexes to assess diastolic function of the right heart in rat models. E is the peak tricuspid flow velocity of the early rapid filling wave measured by pulsed Doppler at the tricuspid valve in the A4C view; E′ is the early diastolic myocardial relaxation velocity measured by tissue Doppler in the lateral annulus of the tricuspid valve in the A4C view (Augustine et al., 2018; Cordina et al., 2019).

Wallentin, Egemnazarov et al. (2015) found that the right ventricular E/E′ ratio correlates well with right ventricular pressure. E/E′ allows a reasonably estimation of mean right ventricular pressure values and assessment of right ventricular diastolic function. Larger E/E′ values indicate poorer right heart diastolic function. Rosas et al. (2023) established the MCT-induced PH rat model. The mean value of E/E′ was measured to be 9.79 in the control group and 23.79 in the PH group (P < 0.05). To date, right ventricular diastolic function in the rat has not been adequately studied due to anatomical complexity and technical limitations. As with indexes of systolic function such as TAPSE, there are not studies or guidelines that give a clear range of reference values for E/E′ in rat of PH (Salerno et al., 2025; Schnelle et al., 2018; Wang et al., 2015; Mukherjee et al., 2025).

5.1.5 Right ventricular free wall thickness (RVFWT)

RVFWT is an important index of RVH and reflects the degree of right ventricular wall hypertrophy. It measures the thickness of the right ventricular free wall in the A4C view during diastole using the M-mode or 2D imaging. The measurement is affected by the morphology of RV and the position of the probe, and could not fully reflect the overall structural changes of RV (Alerhand and Adrian, 2023).

Zhu et al. (2019), Kuang et al. (2023) showed that RVFWT measured by ultrasound matched the right ventricular hypertrophy parameter (Fulton’s index) in the SuHx and MCT-induced PH rat models. Recently, Spyropoulos et al. (2020) studied to validate some echocardiographic parameters and determine their standard diagnostic thresholds in hypoxia, MCT, SuHx-induced PH rat models. They found that RVFWT measured by ultrasound could be used as a reliable measure of RV morphology, RVFWT ≥1.03 mm was the diagnostic threshold for RV hypertrophy in PH rat models.

5.1.6 Pulmonary acceleration time (PAT)/pulmonary ejection time (PET)

PAT/PET is the index for assessing PA pressure. PAT is the measurement of the time interval from the onset of pulmonary artery systole to the onset of peak flow velocity using pulsed Doppler in PSAX view. PET is the measurement of the time interval from the onset of right ventricular ejection to the end of ejection. The continuous wave Doppler cursor is aligned with the direction of blood flow during measurement. The accuracy of PAT and PET is influenced by a number of factors such as heart rate, right ventricular function, pulmonary artery compliance and measurement technique (Cordina et al., 2019).

In human echocardiography, PA pressure is assessed by the flow velocities of pulmonary artery and tricuspid regurgitations (Augustine et al., 2018; Parasuraman et al., 2016). Typically, however, these regurgitant flows are not found in the rat model, so PAT/PET are often used as an alternative to assess PA pressure in PH rat.

Zhu et al. (2019) established the SuHx and MCT-induced PH rat model, and found that PAT/PET was significantly decreased in the PH group. In the SuHx-induced PH rat model, the PAT/PET values were 0.44 and 0.22 in the control and PH groups, respectively; in the MCT-induced PH rat model, the PAT/PET values were 0.47 and 0.20 in the control and PH groups, respectively. In addition, Spyropoulos et al. (2020) found that PAT/PET measured by ultrasound can be used as a reliable measure of pulmonary hemodynamics. PAT/PET measured by ultrasound was inversely correlated with RVSP measured by RHC, and PAT/PET ≤0.25 was the diagnostic threshold for PH in rat.

5.1.7 Index of right ventricle-pulmonary artery (RV-PA) coupling: tricuspid annular plane systolic excursion (TAPSE)/pulmonary acceleration time (PAT)

“Right ventricle-pulmonary artery coupling” refers to the interaction between right ventricular contractility and right ventricular afterload. Under physiologic conditions, the two are dynamically regulated to maintain an optimal coupling. However, in pathological conditions, such as PH, right ventricular remodeling and pulmonary vascular remodeling occur, resulting in RV-PA uncoupling. Notably, the RV-PA uncoupling is not an irreversible state, and normal right ventricular-pulmonary artery coupling can be restored by lowering pulmonary artery pressure, or by reducing right ventricular afterload (Vonk Noordegraaf et al., 2017; Sa et al., 2019; Sandeep et al., 2024). The assessment of RV-PA coupling requires the detection of two important indicators, right ventricular systolic function and right ventricular afterload. Examination methods include RHC, ultrasound imaging, and CMR etc (Dong et al., 2022; Bellofiore and Chesler, 2013; Kubba et al., 2016; Aubert et al., 2018).

The ratio of ventricular elasticity [ventricular end-systolic elastance (Ees)] and the ventricular afterload parameter [effective arterial elastance (Ea)] measured by RHC using the pressure-volume catheter (Millar), i.e., the Ees/Ea ratio, is the “gold standard” for assessing RV-PA coupling (Bellofiore et al., 1985; Sanz et al., 2012; Lin et al., 2016). However, RHC is an invasive examination method with the risk of complications such as infection, vascular injury, and pneumothorax, and has limitations in basic research applications. In addition, CMR is noninvasive, but cannot measure ventricular pressure and pulmonary artery pressure directly.

TAPSE/PAT measured by ultrasound integrates the assessment of right ventricular systolic function and right ventricular afterload, and is regarded as a noninvasive surrogate for Ees/Ea ratio evaluation method (Tello et al., 2019; Rako et al., 2023). Yang et al. (2020) established the hypoxia-induced PH rat model and measured that the mean value of TAPSE/PAT was 0.07 mm/s in the control group and 0.06 mm/s in the PH group (P<0.05), suggesting that the RV-PA coupling was altered under hypoxic conditions. In the rat model, there are little studies on TAPSE/PAT index, and there is currently not standardized reference threshold.

5.2 Emerging ultrasound imaging techniques in the assessment of cardiac function in PH rats

5.2.1 Speckle tracking imaging (STI)

STI is a technique based on the stability and uniqueness of the echo speckles of myocardial tissue to obtain the strain, strain rate, and motion trajectory of the myocardium by tracking the echo speckles frame by frame. Unlike tissue Doppler, STI is not limited by the direction of the acoustic beam and can analyze myocardial strain in multiple dimensions (longitudinal, circumferential, and radial). Moreover, STI can also track the movement trajectory of myocardial tissue during systole and diastole in real time, and quantify the local myocardial strain through block matching algorithms (e.g., diamond search) to reflect the segmental myocardial function (Kovács et al., 2015; Ming et al., 2013; Salerno et al., 2025; Zacchigna et al., 2021; Bernardo et al., 2017).

Clinical studies indicate that STI can reflect early ventricular dysfunction, with predictive value preceding other indicators such as ejection fraction (EF) (Moceri et al., 2022). Rats typically exhibit rapid heart rates (often >300 beats/min), leading to blurred STI images. Ming et al. (2013) maintained a frame rate of 180–220 frames/s during imaging to enhance image clarity and accurately delineate endocardial borders. Additionally, artifacts frequently occur during image acquisition, necessitating synchronous gating with respiratory motion. Anesthesia depth (typically 1%–2% inhaled isoflurane) must balance heart rate stability with physiological state (Kovács et al., 2015; Ming et al., 2013; Salerno et al., 2025). Despite these technical challenges, this technique holds significant potential for early assessment of right ventricular function in disease and is anticipated to become a crucial imaging tool in future echocardiographic studies evaluating pulmonary hypertension (Figure 4).

Figure 4
Flowchart illustrating emerging technologies for ultrasound imaging in PH rat models. It branches into three sections: basic ultrasound modalities including two-dimensional, M-mode, pulsed Doppler, color Doppler, and tissue Doppler; speckle tracking providing multidimensional strain parameters and prognostic value; and three-dimensional imaging offering better spatial information and measurement consistency.

Figure 4. Emerging technologies for ultrasound imaging in PH rat models: speckle tracking imaging and three-dimensional (3D) imaging. Basic ultrasound imaging modalities: two-dimensional (2D) imaging, M-mode, color Doppler mode, pulsed Doppler mode, Tissue Doppler mode. Speckle tracking imaging: speckle tracking vs. basic ultrasound modalities: speckle tracking technology provides multidimensional strain and strain rate parameters, reflects early myocardial dysfunction and has earlier predictive value. 3D imaging: 3D ultrasound imaging vs. 2D ultrasound imaging: 3D echocardiography provides more spatial information, improves the reliability and consistency of measurements.

5.2.2 Three-dimensional (3D) ultrasound

Three-dimensional ultrasound is an examination method that utilizes three-dimensional imaging technology to display cardiac structure and function (Sa et al., 2019; Bellofiore et al., 1985). Building upon two-dimensional ultrasound, this technique acquires ultrasound images in three-dimensional space. A computer system then performs spatial localization, pixel interpolation, and three-dimensional reconstruction to generate a three-dimensional stereoscopic image of the heart. By providing a three-dimensional stereoscopic view of the heart, it enables more accurate assessment of parameters such as cardiac chamber volume, ventricular function, and valve structure, serving as a vital tool for cardiovascular disease research (Rako et al., 2023; Zacchigna et al., 2021). This technique typically employs 1%–2% isoflurane inhalation anesthesia. For rats, probes with frequencies ≥20 MHz are commonly used, operating at frame rates of 600–800 fps to perform real-time 3D volumetric scanning (Yuchi et al., 2022; Tidholm et al., 2024; Grune et al., 2018; Stegmann et al., 2019). Koskenvuo et al. (2010) employed a 30 MHz center frequency transducer coupled to the Vevo®3100 imaging system for three-dimensional image acquisition. This method directly displays the three-dimensional morphology of cardiac chambers without requiring any geometric assumptions about ventricular cavities and remains unaffected by the irregular geometry of diseased chambers. Consequently, it offers greater accuracy than two-dimensional ultrasound measurements and is more advantageous for evaluating ventricular structural and functional characteristics (Figure 4).

6 Comparative analysis of ultrasound imaging in the evaluation of the right heart in PH rats

6.1 Comparative analysis of right heart ultrasound indexes in three PH rat models

Rosas et al. (2023) established MCT-induced PH rat model by subcutaneous injection of MCT 60 mg/kg in SD rats, and carried out ultrasound detection on the 23rd day. It was observed that this PH model had a significant decrease in TAPSE, suggesting right ventricular systolic dysfunction; an increase in RVFWT, which indicated right heart hypertrophy; a significant decrease in PAT, and a significant decrease in PAT/PET, reflecting pulmonary artery pressure was significantly elevated.

Spyropoulos et al. (2020) exposed SD rats to 9% O2 for 2 weeks. Ultrasonographic examination after 2 weeks found that, in these models, TAPSE decreased gradually over time, reflecting gradual deterioration of right ventricular function; RVFWT was significantly increased; PAT and PAT/PET was significantly decreased, reflecting a significant increase in pulmonary artery pressure. Zhu et al. (2019) injected 20 mg/kg Sugen5416 subcutaneously into SD rats, exposed to 10% O2 for 3 weeks, and then restored normoxia for 4 weeks. Ultrasonography revealed a significant decrease in TAPSE, reflecting deterioration of right ventricular function; a significant increase in RVFWT, reflecting right ventricular hypertrophy; a significant decrease in PAT and PAT/PET, reflecting a significant increase in pulmonary artery pressure.

In the MCT, chronic hypoxia, and SuHx-induced PH rat models, the trend of changes in TAPSE, RVFWT, PAT, and PAT/PET indexes detected by ultrasound is the same, but the degree of change may vary. For example, in the MCT-induced PH model, the TAPSE values were 3.3 mm and 1.4 mm in the control and PH group, respectively, whereas in the SuHx-induced PH model, the TAPSE values were 2.7 mm and 2.0 mm in the control and PH group, respectively. Apparently, the decrease in TAPSE values was more significant in the MCT-induced PH rat model, i.e., the deterioration of right ventricular systolic function was greater in the MCT-induced PH rat model. It suggests that the effect of MCT on the systolic function of right ventricle in the rats is more significant compared to SuHx. In addition, in the chronic hypoxia-induced PH model, the PAT/PET values were 0.3 and 0.2 in the control and PH groups, respectively, whereas in the SuHx-induced PH model, the PAT/PET values were 0.4 and 0.2 in the control and PH groups, respectively. Obviously, the decrease in PAT/PET values was more pronounced in the SuHx-induced PH model, that is, the degree of elevation of pulmonary arterial pressure values was greater. It indicates that SuHx have a more significant effect on elevating pulmonary artery pressure compared to chronic hypoxia (Table 3).

Table 3
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Table 3. Comparative analysis of right heart echocardiographic indexes in three PH rat models.

6.2 Correlation analysis of right heart ultrasound measurements with the gold standard in the PH rat model

6.2.1 Correlation analysis of pulmonary artery pressure indexes

Spyropoulos et al. (2020) showed that PAT/PET values estimated by ultrasound correlated well with PASP measured by RHC. The correlation coefficient between PAT/PET and PASP measured by RHC was 0.787. Zhu et al. (2019) established hypoxia-induced and MCT-induced PH rat model, and found that PAT and PAT/PET estimated by ultrasound correlated well with PASP measured by RHC. The correlation coefficients between PAT and PASP measured by RHC were 0.435, and the correlation coefficient between PAT/PET and PASP measured by RHC were 0.503. In addition, Kuang et al. (2023) established SuHx-induced PH rat model, and the correlation coefficient between PAT estimated by ultrasound and mPASP measured by RHC were 0.768, and that between PAT/PET and mPASP measured by RHC was 0.82. Koskenvuo et al. (2010) established MCT-induced PH rat model, in this model, the correlation coefficient between PAT estimated by ultrasound and mPAP measured by RHC was 0.74, which was also a good correlation (Table 4).

Table 4
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Table 4. Correlation coefficients between Echo indices and RHC and Fulton’s index.

6.2.2 Correlation analysis of the right heart structural parameters

It was shown that RVFWT measured by ultrasound was significantly correlated with right ventricular hypertrophy parameters (Fulton’s index). Spyropoulos et al. (2020) constructed the SuHx and the MCT-induced PH rat model. The significant increase in RVFWT measured by ultrasound was matched to Fulton’s index, and the correlation coefficient between RVFWT and Fulton’s index (right ventricular weight/left ventricular and septal weight) was 0.491. Zhu et al. (2019) constructed chronic hypoxia and MCT-induced PH rat model, RVFWT were significantly increased, the correlation coefficient between RVFWT measured by ultrasound and Fulton’s index was 0.774 (Table 4).

6.3 Comparison of speckle tracking and basic ultrasound in the assessment of RV in PH

Speckle tracking technology is able to analyze myocardial motion trajectories, provide multidimensional strain and strain rate parameters, and provide a more comprehensive assessment of myocardial functional status (Cameli et al., 2017; Lu et al., 2023). Studies have shown that right ventricular myocardial longitudinal strain (RVLS), circumferential strain (RVCS), and radial strain (RVRS) measured using STI and the corresponding strain rates can be very sensitive to detect early myocardial dysfunction and have earlier predictive value in PH (Kuang et al., 2023; Bernardo et al., 2017; Sachdev et al., 2011). Whereas basic ultrasound parameters such as TAPSE and S′ are also widely used to assess right ventricular function, these parameters usually show significant changes only after a certain degree of disease progression. Therefore, STI is able to detect early myocardial dysfunction more sensitively than basic ultrasound parameters, significantly improve the sensitivity and prognostic predictive power of cardiac function assessment. STI will have significant potential in the assessment of right ventricular function.

7 Challenges and future directions

7.1 Limitations of right ventricular ultrasound detection in PH rat

Although ultrasound imaging has significant advantages in the assessment of cardiac function in PH rats, there are still some shortcomings, such as differences in technical parameters, non-uniformity of operation specifications, and difficulty in the assessment of RV. Different ultrasound techniques, such as Doppler ultrasound, and speckle tracking, each have their own unique imaging principles and parameter settings. Differences in the image acquisition, processing and analysis processes of these technologies make it difficult to directly compare and integrate results between different technologies.

In addition, the rat right ventricle has an irregular geometry and small size. This complexity of the right ventricular structure results in significant field of view limitations during ultrasound imaging, making it difficult to clearly visualize all regions in one plane (Bernardo et al., 2017). In addition, the presence of right ventricular chordae tendineae and papillary muscles complicates endocardial tracking and measurement, affecting the reproducibility and accuracy of measurements. In addition, RV of the rats is located behind the sternum, and ultrasound propagation is impeded during the detection process, which also increases the difficulty of imaging and leads to a decrease in image quality. Moreover, when the rats have cardiac arrhythmia, the measurement results of ultrasound detection are also affected, reducing the accuracy of measurement (Sanada et al., 2021; Bernardo et al., 2017).

Although some studies have proposed how right ventricular parameters can be measured more accurately and conveniently, such as the adjustment of ultrasound probe position to acquire clear and complete right ventricular images and the use of standard anesthesia methods to ensure that echocardiograms are acquired with similar heart rates in rats, these methods lack a standardized procedure and have not been consistently applied in different studies (Rosas et al., 2023; Bernardo et al., 2017). In addition, the ultrasound equipment and technical parameters (e.g., frequency, resolution, etc.) used in different studies may differ, further affecting the reproducibility and consistency of the measurement results.

7.2 Future direction: application of multimodal fusion (ultrasound and CMR or micro-CT or AI)

Multimodal fusion (e.g., ultrasound and CMR or micro-CT or AI) has significant potential to overcome the limitations of single imaging technique and achieve complementary advantages, providing a more comprehensive and accurate assessment of cardiac function in PH rats (Ouyang et al., 2024).

Although CMR is time-consuming and costly, it provides information with high spatial, temporal resolution and accuracy, making it the “gold standard” for assessing right ventricular structure and function (Kramer et al., 2020). CMR can be used to assess early myocardial mechanical and functional changes in RV by tissue tracking (TT) (Dong et al., 2024; Bourfiss et al., 2021). Yan and Zhuangzhi (2017) employed CMR for dynamic assessment of right ventricular function, revealing a strong negative correlation between CMR-measured RVEF and mean pulmonary artery pressure (mPAP) obtained via right heart catheterization (r = −0.823). Additionally, CMR can quantify right ventricular remodeling reversal following drug therapy (e.g., Rho kinase inhibitors) or interventions (Prisco et al., 2021). 7.0T CMR sensitively detects morphological and functional alterations in pulmonary arteries and the right heart during the progression of PAH in rats, establishing a foundation for investigating the evolutionary mechanisms of PAH (Yuan et al., 2019).

In addition, Micro-CT is uniquely suited for imaging evaluation of fine structures. Micro-CT can obtain high-resolution 3D images in a short period of time to assess the morphology of RV and overall ventricular systolic indexes such as stroke volume and EF (Baktybek et al., 2018; Zelt and Mielniczuk, 2018). By fusing images from different modalities of ultrasound and MRI or micro-CT, the advantages of each can be synthesized to improve the overall imaging resolution and accuracy. For example, ultrasound-guided CMR scans ensure accurate localization, and the high-resolution images provided by CMR can compensate for ultrasound’s lack of detail.

It is also worth noting that in recent years, AI technology has shown great potential in medical image analysis. It can play an important role in multimodal image fusion, for example, it can further improve imaging efficiency and diagnostic accuracy through automatic segmentation, quantitative analysis and data integration. In addition, AI technology can reduce the need for manual labeling and improve the consistency and reproducibility of measurements (Qin et al., 2024; Shi et al., 2022).

Multimodal fusion is greatly useful for detection of right ventricular structure and dysfunction, especially in the early stages of PH. And multimodal fusion can realize comprehensive multi-parameter assessment, and better monitoring of progression of PH in the rat models. It will have great potential for future application (Figure 5).

Figure 5
Flowchart titled

Figure 5. Advantages of multimodal fusion (ultrasound + MRI or micro-CT or AI). Ultrasound + CMR: improving localization accuracy, providing high-resolution images, realizing comprehensive multi-parameter evaluation. Ultrasound + micro-CT: obtaining high-resolution 3D images, improving overall imaging resolution and accuracy, and realizing comprehensive multi-parameter evaluation. Ultrasound + AI: automatically delineating and recognizing maps, quantitative analysis and data integration, reducing manual marking, improving consistency and repeatability of measurements. CMR, Cardiac magnetic resonance; micro-CT, Micro computed tomography; AI, Artificial intelligence.

However, multimodal fusion also has certain limitations, such as high costs, availability of high-end imaging equipment, and consistency issues. The acquisition, maintenance, and operational costs of high-end imaging equipment (such as MRI and micro-CT) are extremely high, requiring dedicated laboratory environments (Seo and Lee, 2018). The development and training of artificial intelligence models also necessitate additional computational resources and data annotation labor, further increasing overall costs (Rivera et al., 2024). Many research institutions lack specialized high-resolution imaging equipment, particularly in the field of small animal imaging. This results in poor technological accessibility, necessitating cross-institutional collaboration to achieve multimodal data acquisition. Furthermore, Parameters measured across modalities may exhibit systematic differences, demanding cross-modal calibration (Seo and Lee, 2018). Moreover, AI models require extensive training with high-quality annotated data. However, multimodal imaging data for rats is scarce, and the significant anatomical variability among small animals can easily lead to insufficient model generalization capabilities (Rivera et al., 2024). Therefore, future efforts should focus on enhancing feasibility through standardized protocols, low-cost imaging technologies, and optimized AI algorithms.

8 Conclusion

Patients with PH have severe symptoms and extremely poor prognosis, which may eventually lead to RV failure or even death. The evaluation of right heart function is crucial in research on the molecular mechanisms and drug screening of PH. Ultrasound is a non-invasive, radiation-free, real-time examination method, and new technology STI in ultrasound can detect myocardial dysfunction earlier and more sensitively, and 3D ultrasound generates 3D stereo images of the heart, which can more accurately assess the morphology and functional changes of RV, and is well suited for the dynamic monitoring of the heart in the PH rat model. Commonly used ultrasound indexes to assess the structure and function of the right heart in PH rat include TAPSE, RVFAC, RVFWT, PAT/PET etc. Due to the complex structure of the right heart and fast heart rate in rats, currently only RVFWT and PAT/PET have been established clear diagnostic thresholds in studies on reference thresholds for these indexes. RVFWT ≥1.03 mm is the threshold for right heart hypertrophy and PAT/PET ≤0.25 is the threshold for the diagnosis of PH in rat. And reference thresholds for other indexes are to be studied. In addition, correlation analysis of ultrasound indexes with the gold standard was done and found that PAT, PAT/PET measured by ultrasound with PASP measured by RHC; PAT measured by ultrasound with mPAP by RHC; and RVFWT measured by ultrasound with Fulton’s index, showed good correlation.

However, ultrasound imaging also has its limitations, such as the lack of standardized operation procedures, limited image resolution, restricted right ventricular field of view, and difficulty in imaging the right heart. The multimodal fusion of ultrasound and MRI or micro-CT or AI could comprehensively utilize the advantages of each, improve the overall imaging resolution and accuracy, and realize the multi-parameter comprehensive assessment, which might be the future development trend and direction of cardiac function assessment in PH rat (Figure 6). Accurate assessment of right ventricular function in PH rats lays an important foundation for research into the molecular mechanisms and drug screening of PH.

Figure 6
Flowchart illustrating pulmonary hypertension (PH) research progression. It starts with human PH analysis, followed by ultrasound detection in PH rat models. Next is echocardiogram visualization, outlining right heart assessment indexes. The chart concludes with future directions in multimodal integration, including technologies like CMR, micro-CT, and AI, highlighting limitations like image resolution.

Figure 6. (a) Patient with PH: right heart dysfunction, RV failure. The incidence of PH: ≥1%. (b) Ultrasound image detection in the PH rat models. (c) Echocardiogram. Right heart assessment indexes: PAT/PET ≤0.25 is the diagnostic threshold for PH in rat, RVFWT ≥1.03 mm is the diagnostic threshold for RVH in PH rat. (d) Future direction: Multimodal integration: ultrasound + MRI or micro-CT or AI. Original figure created with BioRender.com. S’, Right ventricular systolic excursion velocity; E/E’, Peak tricuspid flow velocity of the early rapid filling wave/early diastolic myocardial relaxation velocity; TAPSE, Tricuspid annular plane systolic excursion; RVFAC, Right ventricular fractional area change; TAPSE/PAT, Tricuspid annular plane systolic excursion/pulmonary acceleration time; PAT/PET, Pulmonary acceleration time/pulmonary ejection time; RVFWT, Right ventricular free wall thickness; RV, Right ventricular hypertrophy; PH, Pulmonary hypertension; STI, Speckle tracking imaging; 3D echocardiography, Three-dimensional echocardiography; CMR, Cardiac magnetic resonance; micro-CT, Micro computed tomography; AI, Artificial intelligence.

Author contributions

WW: Writing – original draft. MR: Supervision, Writing – review and editing, Funding acquisition. DL: Supervision, Funding acquisition, Writing – review and editing.

Funding

The authors declare that financial support was received for the research and/or publication of this article. This work was supported by funds from National Natural Science Foundation of China (82374148); Central Guidance for Local Science and Technology Development Funds Project of Qinghai Province (2024ZY023); National Key Research and Development Program of China (2022YFB2303201).

Acknowledgements

The authors acknowledge the page BioRender.com as the main program used to make Figs. 1, 2, 3 and 6 presented in this review.

Conflict of interest

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

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References

Agrawal, V., Hemnes, A. R., Shelburne, N. J., Fortune, N., Fuentes, J. L., Colvin, D., et al. (2022). l-Carnitine therapy improves right heart dysfunction through Cpt1-dependent fatty acid oxidation. Pulm. Circ. 12 (3), e12107. doi:10.1002/pul2.12107

PubMed Abstract | CrossRef Full Text | Google Scholar

Alerhand, S., and Adrian, R. J. (2023). What echocardiographic findings differentiate acute pulmonary embolism and chronic pulmonary hypertension? Am. J. Emerg. Med. 72, 72–84. doi:10.1016/j.ajem.2023.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Aloia, E., Cameli, M., D'Ascenzi, F., Sciaccaluga, C., and Mondillo, S. (2016). TAPSE: an old but useful tool in different diseases. Int. J. Cardiol. 225, 177–183. doi:10.1016/j.ijcard.2016.10.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Alzoubi, A., Toba, M., Abe, K., O'Neill, K. D., Rocic, P., Fagan, K. A., et al. (2013). Dehydroepiandrosterone restores right ventricular structure and function in rats with severe pulmonary arterial hypertension. Am. J. Physiol. Heart Circ. Physiol. 304 (12), H1708–H1718. doi:10.1152/ajpheart.00746.2012

PubMed Abstract | CrossRef Full Text | Google Scholar

Aubert, R., Venner, C., Huttin, O., Haine, D., Filippetti, L., Guillaumot, A., et al. (2018). Three-dimensional echocardiography for the assessment of right ventriculo-arterial coupling. J. Am. Soc. Echocardiogr. 31 (8), 905–915. doi:10.1016/j.echo.2018.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Augustine, D. X., Coates-Bradshaw, L. D., Willis, J., Harkness, A., Ring, L., Grapsa, J., et al. (2018). Echocardiographic assessment of pulmonary hypertension: a guideline protocol from the British Society of Echocardiography. Echo Res. Pract. 5 (3), G11–g24. doi:10.1530/ERP-17-0071

PubMed Abstract | CrossRef Full Text | Google Scholar

Baktybek, K., Alexander, B., Shinomiya, S., Wilchelm, J., Kampschulte, M., Mizuno, S., et al. (2018). Evaluating systolic and diastolic cardiac function in rodents using microscopic computed tomography. Circ. Cardiovasc. Imaging 11, e007653. doi:10.1161/CIRCIMAGING.118.007653

PubMed Abstract | CrossRef Full Text | Google Scholar

Bao, C., He, Q., Wang, H., Sun, Y., Xu, Y., Pan, Y., et al. (2022). Artemisinin and its derivate alleviate pulmonary hypertension and vasoconstriction in rodent models. Oxid. Med. Cell Longev. 2022, 2782429. doi:10.1155/2022/2782429

PubMed Abstract | CrossRef Full Text | Google Scholar

Bellofiore, A., and Chesler, N. C. (2013). Methods for measuring right ventricular function and hemodynamic coupling with the pulmonary vasculature. Ann. Biomed. Eng. 41 (7), 1384–1398. doi:10.1007/s10439-013-0752-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Bellofiore, A., Vanderpool, R., Brewis, M. J., Peacock, A. J., and Chesler, N. C. (1985). A novel single-beat approach to assess right ventricular systolic function. J. Appl. Physiol. 124 (2), 283–290. doi:10.1152/japplphysiol.00258.2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Bernardo, I., Wong, J., Wlodek, M. E., Vlahos, R., and Soeding, P. (2017). Evaluation of right heart function in a rat model using modified echocardiographic views. PLoS One 12 (10), e0187345. doi:10.1371/journal.pone.0187345

PubMed Abstract | CrossRef Full Text | Google Scholar

Bikou, O., and Sassi, Y. (2024). The Sugen/Hypoxia rat model for pulmonary hypertension and right heart failure. Methods Mol. Biol. 2803, 163–172. doi:10.1007/978-1-0716-3846-0_12

PubMed Abstract | CrossRef Full Text | Google Scholar

Bisserier, M., Boucherat, O., Bonnet, S., and Hadri, L. (2022). Intra-airway gene delivery for pulmonary hypertension in rodent models. Methods Mol. Biol. 2573, 263–278. doi:10.1007/978-1-0716-2707-5_20

PubMed Abstract | CrossRef Full Text | Google Scholar

Boucherat, O., Agrawal, V., Lawrie, A., and Bonnet, S. (2022). The latest in animal models of pulmonary hypertension and right ventricular failure. Circ. Res. 130 (9), 1466–1486. doi:10.1161/CIRCRESAHA.121.319971

PubMed Abstract | CrossRef Full Text | Google Scholar

Bourfiss, M., Steensma, B. R., Te Riele, A., Leiner, T., Velthuis, B. K., and Raaijmakers, A. J. E. (2021). Feature-tracking cardiac magnetic resonance of the right ventricle: effect of field strength, resolution and imaging sequence. Eur. J. Radiol. 138, 109671. doi:10.1016/j.ejrad.2021.109671

PubMed Abstract | CrossRef Full Text | Google Scholar

Bousseau, S., Sobrano Fais, R., Gu, S., Frump, A., and Lahm, T. (2023). Pathophysiology and new advances in pulmonary hypertension. BMJ Med. 2 (1), e000137. doi:10.1136/bmjmed-2022-000137

PubMed Abstract | CrossRef Full Text | Google Scholar

Brugger, N., Lichtblau, M., Maeder, M., Muller, H., Pellaton, C., Yerly, P., et al. (2021). Two-dimensional transthoracic echocardiography at rest for the diagnosis, screening and management of pulmonary hypertension. Swiss Med. Wkly. 151, w20486. doi:10.4414/smw.2021.20486

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, G., Zhang, Y., Wang, X., Li, S., Cheng, Y., and Huang, X. (2023). Comparison of hypoxia-induced pulmonary hypertension rat models caused by different hypoxia protocols. Exp. Lung Res. 49 (1), 1–11. doi:10.1080/01902148.2022.2148016

PubMed Abstract | CrossRef Full Text | Google Scholar

Cameli, M., Mondillo, S., Galderisi, M., Mandoli, G. E., Ballo, P., Nistri, S., et al. (2017). Speckle tracking echocardiography: a practical guide. G. Ital. Cardiol. (Rome) 18 (4), 253–269. doi:10.1714/2683.27469

PubMed Abstract | CrossRef Full Text | Google Scholar

Chan, S. Y., and Rubin, L. J. (2017). Metabolic dysfunction in pulmonary hypertension: from basic science to clinical practice. Eur. Respir. Rev. 26 (146), 170094. doi:10.1183/16000617.0094-2017

PubMed Abstract | CrossRef Full Text | Google Scholar

Chida-Nagai, A., Masaki, N., Sato, H., Kato, T., Takakuwa, E., Matsuno, Y., et al. (2025). Pulmonary artery-targeted low-dose metformin-loaded nanocapsules safely improve pulmonary arterial hypertension in rats. Front. Pharmacol. 16, 1577570. doi:10.3389/fphar.2025.1577570

PubMed Abstract | CrossRef Full Text | Google Scholar

Cordina, R. L., Playford, D., Lang, I., and Celermajer, D. S. (2019). State-of-the-Art review: echocardiography in pulmonary hypertension. Heart Lung Circ. 28 (9), 1351–1364. doi:10.1016/j.hlc.2019.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Dhananjayan, K., Ertracht, O., Atar, S., Livoff, A., Shehadeh, M., and Szuchman-Sapir, A. (2025). EPA-lactone derivative, 5,6-diHETE lactone, improves pulmonary arterial hypertension in a monocrotaline-induced model. Front. Pharmacol. 16, 1621030. doi:10.3389/fphar.2025.1621030

PubMed Abstract | CrossRef Full Text | Google Scholar

Dignam, J. P., Scott, T. E., Kemp-Harper, B. K., and Hobbs, A. J. (2022). Animal models of pulmonary hypertension: getting to the heart of the problem. Br. J. Pharmacol. 179 (5), 811–837. doi:10.1111/bph.15444

PubMed Abstract | CrossRef Full Text | Google Scholar

DiLorenzo, M. P., Bhatt, S. M., and Mercer-Rosa, L. (2015). How best to assess right ventricular function by echocardiography. Cardiol. Young 25 (8), 1473–1481. doi:10.1017/S1047951115002255

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Y., Li, Y., and Song, L. (2022). Evaluation of right ventricular function in patients with pulmonary arterial hypertension by different right ventricular-pulmonary artery coupling methods. Med. Baltim. 101 (39), e30873. doi:10.1097/MD.0000000000030873

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, Z., Dai, L., Song, Y., Ma, X., Wang, J., Yu, S., et al. (2024). Right ventricular strain derived from cardiac MRI feature tracking for the diagnosis and prognosis of arrhythmogenic right ventricular cardiomyopathy. Radiol. Cardiothorac. Imaging 6 (3), e230292. doi:10.1148/ryct.230292

PubMed Abstract | CrossRef Full Text | Google Scholar

Egemnazarov, B., Schmidt, A., Crnkovic, S., Sydykov, A., Nagy, B. M., Kovacs, G., et al. (2015). Pressure overload creates right ventricular diastolic dysfunction in a mouse model: assessment by echocardiography. J. Am. Soc. Echocardiogr. 28 (7), 828–843. doi:10.1016/j.echo.2015.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Fowler, E. D., Hauton, D., Boyle, J., Egginton, S., Steele, D. S., and White, E. (2019). Energy metabolism in the failing right ventricle: limitations of oxygen delivery and the creatine kinase system. Int. J. Mol. Sci. 20 (8), 1805. doi:10.3390/ijms20081805

PubMed Abstract | CrossRef Full Text | Google Scholar

Garcia, R., and Diebold, S. (1990). Simple, rapid, and effective method of producing aortocaval shunts in the rat. Cardiovasc. Res. 24 (5), 430–432. doi:10.1093/cvr/24.5.430

PubMed Abstract | CrossRef Full Text | Google Scholar

Gillam, L. D., and Marcoff, L. (2024). Echocardiography: past, present, and future. Circ. Cardiovasc. Imaging 17 (4), e016517. doi:10.1161/CIRCIMAGING.124.016517

PubMed Abstract | CrossRef Full Text | Google Scholar

Grune, J., Blumrich, A., Brix, S., Jeuthe, S., Drescher, C., Grune, T., et al. (2018). Evaluation of a commercial multi-dimensional echocardiography technique for ventricular volumetry in small animals. Cardiovasc. Ultrasound 16 (1), 10. doi:10.1186/s12947-018-0128-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Hardegree, E. L., Sachdev, A., Fenstad, E. R., Villarraga, H. R., Frantz, R. P., McGoon, M. D., et al. (2013). Impaired left ventricular mechanics in pulmonary arterial hypertension: identification of a cohort at high risk. Circ. Heart Fail. 6 (4), 748–755. doi:10.1161/CIRCHEARTFAILURE.112.000098

PubMed Abstract | CrossRef Full Text | Google Scholar

Hassoun, P. M. (2021). Pulmonary arterial hypertension. N. Engl. J. Med. 385 (25), 2361–2376. doi:10.1056/NEJMra2000348

PubMed Abstract | CrossRef Full Text | Google Scholar

Hayashi, Y., Kim, S., Fujii, T., Pedersen, D. D., Ozeki, T., Jiang, H., et al. (2025). Placement of an elastic, biohybrid patch in a model of right heart failure with pulmonary artery banding. Front. Bioeng. Biotechnol. 12, 1485740. doi:10.3389/fbioe.2024.1485740

PubMed Abstract | CrossRef Full Text | Google Scholar

Hockstein, M. A., Haycock, K., Wiepking, M., Lentz, S., Dugar, S., and Siuba, M. (2021). Transthoracic right heart echocardiography for the intensivist. J. Intensive Care Med. 36 (9), 1098–1109. doi:10.1177/08850666211003475

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoeper, M. M., Humbert, M., Souza, R., Idrees, M., Kawut, S. M., Sliwa-Hahnle, K., et al. (2016). A global view of pulmonary hypertension. Lancet Respir. Med. 4 (4), 306–322. doi:10.1016/S2213-2600(15)00543-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Ichimura, K., Boehm, M., Andruska, A. M., Zhang, F., Schimmel, K., Bonham, S., et al. (2024). 3D imaging reveals complex microvascular remodeling in the right ventricle in pulmonary hypertension. Circ. Res. 135 (1), 60–75. doi:10.1161/CIRCRESAHA.123.323546

PubMed Abstract | CrossRef Full Text | Google Scholar

Irwin, D. C., Baek, J. H., Hassell, K., Nuss, R., Eigenberger, P., Lisk, C., et al. (2015). Hemoglobin-induced lung vascular oxidation, inflammation, and remodeling contribute to the progression of hypoxic pulmonary hypertension and is attenuated in rats with repeated-dose haptoglobin administration. Free Radic. Biol. Med. 82, 50–62. doi:10.1016/j.freeradbiomed.2015.01.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, S., Sommer, N., Cox-Flaherty, K., Weissmann, N., Ventetuolo, C. E., and Maron, B. A. (2023). Pulmonary hypertension: a contemporary review. Am. J. Respir. Crit. Care Med. 208 (5), 528–548. doi:10.1164/rccm.202302-0327SO

PubMed Abstract | CrossRef Full Text | Google Scholar

Kazmirczak, F., Hartweck, L. M., Vogel, N. T., Mendelson, J. B., Park, A. K., Raveendran, R. M., et al. (2023). Intermittent fasting activates AMP-kinase to restructure right ventricular lipid metabolism and microtubules. JACC Basic Transl. Sci. 8 (3), 239–254. doi:10.1016/j.jacbts.2022.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Kishiki, K., Singh, A., Narang, A., Gomberg-Maitland, M., Goyal, N., Maffessanti, F., et al. (2019). Impact of severe pulmonary arterial hypertension on the left heart and prognostic implications. J. Am. Soc. Echocardiogr. 32 (9), 1128–1137. doi:10.1016/j.echo.2019.05.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Kjærgaard, J. (2012). Assessment of right ventricular systolic function by tissue doppler echocardiography. Dan. Med. J. 59 (3), B4409.

PubMed Abstract | Google Scholar

Koskenvuo, J. W., Mirsky, R., Zhang, Y., Angeli, F. S., Jahn, S., Alastalo, T. P., et al. (2010). A comparison of echocardiography to invasive measurement in the evaluation of pulmonary arterial hypertension in a rat model. Int. J. Cardiovasc. Imaging 26 (5), 509–518. doi:10.1007/s10554-010-9596-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kou, S., Caballero, L., Dulgheru, R., Voilliot, D., De Sousa, C., Kacharava, G., et al. (2014). Echocardiographic reference ranges for normal cardiac chamber size: results from the NORRE study. Eur. Heart J. Cardiovasc. Imaging 15 (6), 680–690. doi:10.1093/ehjci/jet284

PubMed Abstract | CrossRef Full Text | Google Scholar

Kovács, A., Oláh, A., Lux, Á., Mátyás, C., Németh, B. T., Kellermayer, D., et al. (2015). Strain and strain rate by speckle-tracking echocardiography correlate with pressure-volume loop-derived contractility indices in a rat model of athlete's heart. Am. J. Physiol. Heart Circ. Physiol. 308 (7), H743–H748. doi:10.1152/ajpheart.00828.2014

PubMed Abstract | CrossRef Full Text | Google Scholar

Kramer, C. M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S. D., Kim, R. J., and Nagel, E. (2020). Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. J. Cardiovasc. Magn. Reson 22 (1), 17. doi:10.1186/s12968-020-00607-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Kuang, M., Chen, Y., Xing, Y., Du, M., Feng, H., Yang, Q., et al. (2023). Echocardiographic evaluation of right heart failure which might be associated with DNA damage response in SU5416-hypoxia induced pulmonary hypertension rat model. Respir. Res. 24 (1), 202. doi:10.1186/s12931-023-02501-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kubba, S., Davila, C. D., and Forfia, P. R. (2016). Methods for evaluating right ventricular function and ventricular-arterial coupling. Prog. Cardiovasc. Dis. 59 (1), 42–51. doi:10.1016/j.pcad.2016.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang, R. M., Addetia, K., Narang, A., and Mor-Avi, V. (2018). 3-Dimensional echocardiography: latest developments and future directions. JACC Cardiovasc. Imaging 11 (12), 1854–1878. doi:10.1016/j.jcmg.2018.06.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang, R. M., Badano, L. P., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., et al. (2015). Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J. Am. Soc. Echocardiogr. 28 (1), 233–270. doi:10.1093/ehjci/jev014

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Y., Wang, Y., Ye, X., Kong, L., Zhu, W., and Lu, X. (2016). Clinical study of right ventricular longitudinal strain for assessing right ventricular dysfunction and hemodynamics in pulmonary hypertension. Med. Baltim. 95 (50), e5668. doi:10.1097/MD.0000000000005668

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, A. C., Strugnell, W. E., Seale, H., Schmitt, B., Schmidt, M., O'Rourke, R., et al. (2016). Exercise cardiac MRI-derived right ventriculo-arterial coupling ratio detects early right ventricular maladaptation in PAH. Eur. Respir. J. 48 (6), 1797–1800. doi:10.1183/13993003.01145-2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Llucià-Valldeperas, A., de Man, F. S., and Bogaard, H. J. (2021). Adaptation and maladaptation of the right ventricle in pulmonary vascular diseases. Clin. Chest Med. 42 (1), 179–194. doi:10.1016/j.ccm.2020.11.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Lu, J., Millioz, F., Varray, F., Poree, J., Provost, J., Bernard, O., et al. (2023). Ultrafast Cardiac imaging using deep learning for speckle-tracking echocardiography. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 70 (12), 1761–1772. doi:10.1109/TUFFC.2023.3326377

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, T. T., Wang, Y., Zhou, X. L., Jiang, H., Guo, R., Jia, L. N., et al. (2015). Research on rat models of hypobaric hypoxia-induced pulmonary hypertension. Eur. Rev. Med. Pharmacol. Sci. 19 (19), 3723–3730.

PubMed Abstract | Google Scholar

Maarman, G., Lecour, S., Butrous, G., Thienemann, F., and Sliwa, K. (2013). A comprehensive review: the evolution of animal models in pulmonary hypertension research; are we there yet? Pulm. Circ. 3 (4), 739–756. doi:10.1086/674770

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazurek, J. A., Vaidya, A., Mathai, S. C., Roberts, J. D., and Forfia, P. R. (2017). Follow-up tricuspid annular plane systolic excursion predicts survival in pulmonary arterial hypertension. Pulm. Circ. 7 (2), 361–371. doi:10.1177/2045893217694175

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, L., Liu, X., Zheng, Z., Li, J., Meng, J., Wei, Y., et al. (2013). Original rat model of high kinetic unilateral pulmonary hypertension surgically induced by combined surgery. J. Thorac. Cardiovasc. Surg. 146 (5), 1220–6.e1. doi:10.1016/j.jtcvs.2013.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Ming, C., Yonghong, Y., Gang, H., Wang, Y., Yao, J., Xu, D., et al. (2013). Study on speckle tracking imaging for evaluating myocardial dysfunction and fibrosis in mice. Chin. J. Ultrasound Med. Biol. 22, (5), 5.

Google Scholar

Moceri, P., Duchateau, N., Baudouy, D., Squara, F., Bun, S. S., Ferrari, E., et al. (2022). Additional prognostic value of echocardiographic follow-up in pulmonary hypertension-role of 3D right ventricular area strain. Eur. Heart J. Cardiovasc Imaging 23 (11), 1562–1572. doi:10.1093/ehjci/jeab240

PubMed Abstract | CrossRef Full Text | Google Scholar

Mocumbi, A., Humbert, M., Saxena, A., Jing, Z. C., Sliwa, K., Thienemann, F., et al. (2024). Pulmonary hypertension. Nat. Rev. Dis. Prim. 10 (1), 1. doi:10.1038/s41572-023-00486-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Mondillo, S., Galderisi, M., Mele, D., Cameli, M., Lomoriello, V. S., Zacà, V., et al. (2011). Speckle-tracking echocardiography: a new technique for assessing myocardial function. J. Ultrasound Med. 30 (1), 71–83. doi:10.7863/jum.2011.30.1.71

PubMed Abstract | CrossRef Full Text | Google Scholar

Morimatsu, Y., Sakashita, N., Komohara, Y., Ohnishi, K., Masuda, H., Dahan, D., et al. (2012). Development and characterization of an animal model of severe pulmonary arterial hypertension. J. Vasc. Res. 49 (1), 33–42. doi:10.1159/000329594

PubMed Abstract | CrossRef Full Text | Google Scholar

Mukherjee, M., Rudski, L. G., Addetia, K., Afilalo, J., D'Alto, M., Freed, B. H., et al. (2025). Guidelines for the echocardiographic assessment of the right heart in adults and special considerations in pulmonary hypertension: recommendations from the American Society of echocardiography. J. Am. Soc. Echocardiogr. 38 (3), 141–186. doi:10.1016/j.echo.2025.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Ouyang, Q., Xu, R., Lin, Q., Yan, J., Zhang, L., and Zhao, H. (2024). Multimodal ultrasound imaging of a rat model with ischemic heart failure and its relationship to histopathology. Am. J. Transl. Res. 16 (9), 4589–4600. doi:10.62347/FIWE8677

PubMed Abstract | CrossRef Full Text | Google Scholar

Parasuraman, S., Walker, S., Loudon, B. L., Gollop, N. D., Wilson, A. M., Lowery, C., et al. (2016). Assessment of pulmonary artery pressure by echocardiography-A comprehensive review. Int. J. Cardiol. Heart Vasc. 12, 45–51. doi:10.1016/j.ijcha.2016.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Park, J. F., Clark, V. R., Banerjee, S., Hong, J., Razee, A., Williams, T., et al. (2021). Transcriptomic analysis of right ventricular remodeling in two rat models of pulmonary hypertension: identification and validation of epithelial-to-mesenchymal transition in human right ventricular failure. Circ. Heart Fail. 14 (2), e007058. doi:10.1161/CIRCHEARTFAILURE.120.007058

PubMed Abstract | CrossRef Full Text | Google Scholar

Prisco, S. Z., Eklund, M., Moutsoglou, D. M., Prisco, A. R., Khoruts, A., Weir, E. K., et al. (2021). Intermittent fasting enhances right ventricular function in preclinical pulmonary arterial hypertension. J. Am. Heart Assoc. 10 (22), e022722. doi:10.1161/JAHA.121.022722

PubMed Abstract | CrossRef Full Text | Google Scholar

Qin, Y., Qin, X., Zhang, J., and Guo, X. (2024). Artificial intelligence: the future for multimodality imaging of right ventricle. Int. J. Cardiol. 404, 131970. doi:10.1016/j.ijcard.2024.131970

PubMed Abstract | CrossRef Full Text | Google Scholar

Rako, Z. A., Kremer, N., Yogeswaran, A., Richter, M. J., and Tello, K. (2023). Adaptive versus maladaptive right ventricular remodelling. Esc. Heart Fail. 10 (2), 762–775. doi:10.1002/ehf2.14233

PubMed Abstract | CrossRef Full Text | Google Scholar

Rivera, B. M. E., Sharma, N. R., Varghese, J., Lamichhane, S., Khan, M. H., Gulati, A., et al. (2024). Multimodal Cardiac imaging revisited by artificial intelligence: an innovative way of assessment or just an aid? Cureus 16 (7), e64272. doi:10.7759/cureus.64272

PubMed Abstract | CrossRef Full Text | Google Scholar

Rosas, P. C., Neves, L. A. A., Senese, P. B., and Gralinski, M. R. (2023). Comprehensive echocardiographic assessment of right ventricle function in a rat model of pulmonary arterial hypertension. J. Vis. Exp, 191.

Google Scholar

Ryan, J., Bloch, K., and Archer, S. L. (2011). Rodent models of pulmonary hypertension: harmonisation with the world health organisation's categorisation of human PH. Int. J. Clin. Pract. Suppl. 2011 (172), 15–34. doi:10.1111/j.1742-1241.2011.02710.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanz, J., Sánchez-Quintana, D., Bossone, E., Bogaard, H. J., and Naeije, R. (2019). Anatomy, function, and dysfunction of the right ventricle: JACC state-of-the-art review. J. Am. Coll. Cardiol. 73 (12), 1463–1482. doi:10.1016/j.jacc.2018.12.076

PubMed Abstract | CrossRef Full Text | Google Scholar

Sachdev, A., Villarraga, H. R., Frantz, R. P., McGoon, M. D., Hsiao, J. F., Maalouf, J. F., et al. (2011). Right ventricular strain for prediction of survival in patients with pulmonary arterial hypertension. Chest 139 (6), 1299–1309. doi:10.1378/chest.10-2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Salerno, N., Di Costanzo, A., Marino, F., Scalise, M., Leo, I., Sabatino, J., et al. (2025). Echocardiographic assessment of cardiac function in mouse models of heart disease. Int. J. Mol. Sci. 26 (13), 5995. doi:10.3390/ijms26135995

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanada, T. J., Sun, X. Q., Happé, C., Guignabert, C., Tu, L., Schalij, I., et al. (2021). Altered TGFβ/SMAD signaling in human and rat models of pulmonary hypertension: an old target needs attention. Cells 10 (1), 84. doi:10.3390/cells10010084

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandeep, B., Cheng, H., Yan, Y., Huang, X., Wu, Q., Gao, K., et al. (2024). Right ventricle-pulmonary artery coupling in pulmonary artery hypertension its measurement and pharmacotherapy. Curr. Probl. Cardiol. 49 (4), 102425. doi:10.1016/j.cpcardiol.2024.102425

PubMed Abstract | CrossRef Full Text | Google Scholar

Sanz, J., García-Alvarez, A., Fernández-Friera, L., Nair, A., Mirelis, J. G., Sawit, S. T., et al. (2012). Right ventriculo-arterial coupling in pulmonary hypertension: a magnetic resonance study. Heart 98 (3), 238–243. doi:10.1136/heartjnl-2011-300462

PubMed Abstract | CrossRef Full Text | Google Scholar

Schnelle, M., Catibog, N., Zhang, M., Nabeebaccus, A. A., Anderson, G., Richards, D. A., et al. (2018). Echocardiographic evaluation of diastolic function in mouse models of heart disease. J. Mol. Cell Cardiol. 114, 20–28. doi:10.1016/j.yjmcc.2017.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Seo, H. S., and Lee, H. (2018). Assessment of right ventricular function in pulmonary hypertension with multimodality imaging. J. Cardiovasc. Imaging 26 (4), 189–200. doi:10.4250/jcvi.2018.26.e28

PubMed Abstract | CrossRef Full Text | Google Scholar

Shanks, N., Greek, R., and Greek, J. (2009). Are animal models predictive for humans? Philos. Ethics Humanit Med. 4, 2. doi:10.1186/1747-5341-4-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, B., Zhou, T., Lv, S., Wang, M., Chen, S., Heidari, A. A., et al. (2022). An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis. Comput. Biol. Med. 146, 105529. doi:10.1016/j.compbiomed.2022.105529

PubMed Abstract | CrossRef Full Text | Google Scholar

Smolarek, D., Gruchała, M., and Sobiczewski, W. (2017). Echocardiographic evaluation of right ventricular systolic function: the traditional and innovative approach. Cardiol. J. 24 (5), 563–572. doi:10.5603/CJ.a2017.0051

PubMed Abstract | CrossRef Full Text | Google Scholar

Spyropoulos, F., Vitali, S. H., Touma, M., Rose, C. D., Petty, C. R., Levy, P., et al. (2020). Echocardiographic markers of pulmonary hemodynamics and right ventricular hypertrophy in rat models of pulmonary hypertension. Pulm. Circ. 10 (2), 2045894020910976. doi:10.1177/2045894020910976

PubMed Abstract | CrossRef Full Text | Google Scholar

Stegmann, H., Bäuerle, T., Kienle, K., Dittrich, S., and Alkassar, M. (2019). 4D cardiac magnetic resonance imaging, 4D and 2D transthoracic echocardiography: a comparison of in-vivo assessment of ventricular function in rats. Lab. Anim. 53 (2), 169–179. doi:10.1177/0023677218789971

PubMed Abstract | CrossRef Full Text | Google Scholar

Stenmark, K. R., Meyrick, B., Galie, N., Mooi, W. J., and McMurtry, I. F. (2009). Animal models of pulmonary arterial hypertension: the hope for etiological discovery and pharmacological cure. Am. J. Physiol. Lung Cell Mol. Physiol. 297 (6), L1013–L1032. doi:10.1152/ajplung.00217.2009

PubMed Abstract | CrossRef Full Text | Google Scholar

Suen, C. M., Chaudhary, K. R., Deng, Y., Jiang, B., and Stewart, D. J. (2019). Fischer rats exhibit maladaptive structural and molecular right ventricular remodelling in severe pulmonary hypertension: a genetically prone model for right heart failure. Cardiovasc. Res. 115 (4), 788–799. doi:10.1093/cvr/cvy258

PubMed Abstract | CrossRef Full Text | Google Scholar

Sztechman, D., Żera, T., Czarzasta, K., Wojciechowska, M., Szczepańska-Sadowska, E., and Cudnoch-Jędrzejewska, A. (2020). Transthoracic echocardiography: from guidelines for humans to cardiac ultrasound of the heart in rats. Physiol. Meas. 41 (10), 10tr02. doi:10.1088/1361-6579/abb3a3

PubMed Abstract | CrossRef Full Text | Google Scholar

Sztuka, K., and Jasińska-Stroschein, M. (2017). Animal models of pulmonary arterial hypertension: a systematic review and meta-analysis of data from 6126 animals. Pharmacol. Res. 125 (Pt B), 201–214. doi:10.1016/j.phrs.2017.08.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Tello, K., Gall, H., Richter, M., Ghofrani, A., and Schermuly, R. (2019). Right ventricular function in pulmonary (arterial) hypertension. Herz 44 (6), 509–516. doi:10.1007/s00059-019-4815-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Thijssen, J. M., and de Korte, C. L. (2014). Cardiological ultrasound imaging. Curr. Pharm. Des. 20 (39), 6150–6161. doi:10.2174/1381612820666140417113304

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomas, M., Docx, C., Holmes, A. M., Beach, S., Duggan, N., England, K., et al. (2009). Activin-like kinase 5 (ALK5) mediates abnormal proliferation of vascular smooth muscle cells from patients with familial pulmonary arterial hypertension and is involved in the progression of experimental pulmonary arterial hypertension induced by monocrotaline. Am. J. Pathol. 174 (2), 380–389. doi:10.2353/ajpath.2009.080565

PubMed Abstract | CrossRef Full Text | Google Scholar

Tidholm, A., Menciotti, G., and Borgarelli, M. (2024). Current use of real-time three-dimensional transthoracic echocardiography in animals. J. Vet. Cardiol. 51, 97–104. doi:10.1016/j.jvc.2023.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Vandamme, T. F. (2015). Rodent models for human diseases. Eur. J. Pharmacol. 759, 84–89. doi:10.1016/j.ejphar.2015.03.046

PubMed Abstract | CrossRef Full Text | Google Scholar

Vang, A., da Silva Gonçalves Bos, D., Fernandez-Nicolas, A., Zhang, P., Morrison, A. R., Mancini, T. J., et al. (2021). α7 Nicotinic acetylcholine receptor mediates right ventricular fibrosis and diastolic dysfunction in pulmonary hypertension. JCI Insight 6 (12), e142945. doi:10.1172/jci.insight.142945

PubMed Abstract | CrossRef Full Text | Google Scholar

Vonk, N. A., Chin, K. M., Haddad, F., Hassoun, P. M., Hemnes, A. R., Hopkins, S. R., et al. (2019). Pathophysiology of the right ventricle and of the pulmonary circulation in pulmonary hypertension: an update. Eur. Respir. J. 53 (1), 1801900. doi:10.1183/13993003.01900-2018

PubMed Abstract | CrossRef Full Text | Google Scholar

Vonk Noordegraaf, A., Westerhof, B. E., and Westerhof, N. (2017). The relationship between the right ventricle and its load in pulmonary hypertension. J. Am. Coll. Cardiol. 69 (2), 236–243. doi:10.1016/j.jacc.2016.10.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Vonk-Noordegraaf, A., Haddad, F., Chin, K. M., Forfia, P. R., Kawut, S. M., Lumens, J., et al. (2013). Right heart adaptation to pulmonary arterial hypertension: physiology and pathobiology. J. Am. Coll. Cardiol. 62 (25 Suppl. l), D22–D33. doi:10.1016/j.jacc.2013.10.027

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, H., Yang, J., Bai, Y., Wang, X., Han, S., Chen, L., et al. (2015). Evaluation of Two- dimensional speckle tracking technology for assessing temporal changes in global and regional right ventricular function in cynomorium-induced pulmonary hypertension rats. Chin. J. Ultrasound Med. 31 (03), 257–259.

Google Scholar

Wang, S., Ye, L., Hong, H., Tang, C., Li, M., Zhang, Z., et al. (2017). A neonatal rat model of increased right ventricular afterload by pulmonary artery banding. J. Thorac. Cardiovasc. Surg. 154 (5), 1734–1739. doi:10.1016/j.jtcvs.2017.06.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Wessels, J. N., Mouratoglou, S. A., van Wezenbeek, J., Handoko, M. L., Marcus, J. T., Meijboom, L. J., et al. (2022). Right atrial function is associated with right venticular diastolic stiffness: RA-RV interaction in pulmonary arterial hypertension. Eur. Respir. J. 59 (6), 2101454. doi:10.1183/13993003.01454-2021

PubMed Abstract | CrossRef Full Text | Google Scholar

Wessels, J. N., Celant, L. R., de Man, F. S., and Vonk Noordegraaf, A. (2023a). The right ventricle in pulmonary hypertension. Semin. Respir. Crit. Care Med. 44 (6), 738–745. doi:10.1055/s-0043-1770117

PubMed Abstract | CrossRef Full Text | Google Scholar

Wessels, J. N., van Wezenbeek, J., de Rover, J., Smal, R., Llucià-Valldeperas, A., Celant, L. R., et al. (2023b). Right atrial adaptation to precapillary pulmonary hypertension: Pressure-Volume, cardiomyocyte, and histological analysis. J. Am. Coll. Cardiol. 82 (8), 704–717. doi:10.1016/j.jacc.2023.05.063

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu, X. H., Ma, J. L., Ding, D., Ma, Y. J., Wei, Y. P., and Jing, Z. C. (2022). Experimental animal models of pulmonary hypertension: development and challenges. Anim. Model Exp. Med. 5 (3), 207–216. doi:10.1002/ame2.12220

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, G., and Zhuangzhi, S. (2017). Analysis of right ventricular function in wild lily-induced pulmonary arterial hypertension rats. Chin. J. Lab. Animal Sci. 25 (05), 534–538.

Google Scholar

Yang, Z., Sun, H., Su, S., Nan, X., Li, K., Jin, X., et al. (2020). Tsantan Sumtang restored right ventricular function in chronic hypoxia-induced pulmonary hypertension rats. Front. Pharmacol. 11, 607384. doi:10.3389/fphar.2020.607384

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshiyuki, R., Tanaka, R., Fukushima, R., and Machida, N. (2016). Preventive effect of sildenafil on right ventricular function in rats with monocrotaline-induced pulmonary arterial hypertension. Exp. Anim. 65 (3), 215–222. doi:10.1538/expanim.15-0070

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, X. H., Xu, Y., Zhu, Y. S., Zhu, X. M., Yu, M., Han, H. H., et al. (2019). Role of 7.0T cardiac MR imaging in evaluating right ventricular function in a rat model of pulmonary arterial hypertension. J. Nanjing Med. Univ. Nat. Sci. Ed. 39 (01), 131–135.

Google Scholar

Yuchi, Y., Suzuki, R., Higuchi, R., Saito, T., Teshima, T., Matsumoto, H., et al. (2022). Utility of real-time three-dimensional echocardiography for the assessment of right ventricular morphology and function in large animal models. J. Clin. Med. 11 (7), 2001. doi:10.3390/jcm11072001

PubMed Abstract | CrossRef Full Text | Google Scholar

Yung, L. M., Nikolic, I., Paskin-Flerlage, S. D., Pearsall, R. S., Kumar, R., and Yu, P. B. (2016). A selective transforming growth Factor-β Ligand Trap attenuates pulmonary hypertension. Am. J. Respir. Crit. Care Med. 194 (9), 1140–1151. doi:10.1164/rccm.201510-1955OC

PubMed Abstract | CrossRef Full Text | Google Scholar

Zacchigna, S., Paldino, A., Falcão-Pires, I., Daskalopoulos, E. P., Dal Ferro, M., Vodret, S., et al. (2021). Towards standardization of echocardiography for the evaluation of left ventricular function in adult rodents: a position paper of the ESC Working Group on Myocardial Function. Cardiovasc. Res. 117 (1), 43–59. doi:10.1093/cvr/cvaa110

PubMed Abstract | CrossRef Full Text | Google Scholar

Zaidi, A., Knight, D. S., Augustine, D. X., Harkness, A., Oxborough, D., Pearce, K., et al. (2020). Echocardiographic assessment of the right heart in adults: a practical guideline from the British Society of Echocardiography. Echo Res. Pract. 7 (1), G19–g41. doi:10.1530/ERP-19-0051

PubMed Abstract | CrossRef Full Text | Google Scholar

Zelt, J. G. E., and Mielniczuk, L. M. (2018). Micro computed tomography in experimental pulmonary arterial hypertension. Circ. Cardiovasc. Imaging 11 (12), e008631. doi:10.1161/CIRCIMAGING.118.008631

PubMed Abstract | CrossRef Full Text | Google Scholar

Zelt, J. G. E., Cadete, V., Deng, Y., Godoy, R., Cuillerier, A., Rowe, K., et al. (2022). Right ventricular maladaptation to pressure overload in fischer rats is associated with profound deficiency in adenylate kinase 1 and impaired ventricular energetics. Hypertension 79 (12), 2774–2786. doi:10.1161/HYPERTENSIONAHA.122.19300

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhu, Z., Godana, D., Li, A., Rodriguez, B., Gu, C., Tang, H., et al. (2019). Echocardiographic assessment of right ventricular function in experimental pulmonary hypertension. Pulm. Circ. 9 (2), 2045894019841987. doi:10.1177/2045894019841987

PubMed Abstract | CrossRef Full Text | Google Scholar

Glossary

TAPSE Tricuspid annular plane systolic excursion

RVFAC Right ventricular fractional area change

RVFWT Right ventricular free wall thickness

PAT Pulmonary acceleration time

PET Pulmonary ejection time

RHC Right heart catheterization

CMR Cardiac magnetic resonance

micro-CT Micro computed tomography

AI Artificial intelligence

PH Pulmonary hypertension

mPAP Mean pulmonary artery pressure

PAH Pulmonary arterial hypertension

MCT Monocrotaline

RV Right ventricular

RVH Right ventricular hypertrophy

RVF Right ventricular failure

CO Cardiac output

SuHx Sugen5416/hypoxia

PVR Pulmonary vascular resistance

SD Sprague dawley

CHD Congenital heart disease

PWD Pulsed wave doppler

FS Fractional shortening

TDI Tissue Doppler imaging

PLAX Parasternal long-axis

PSAX Parasternal short-axis

A4C Apical four-chamber

DHEA Dehydroepiandrosterone

RVEF Right ventricular ejection fraction

RV-PA Right ventricle-pulmonary artery

PASP Pulmonary artery systolic pressure

STI Speckle tracking imaging

EF Ejection fraction

RVLS Right ventricular myocardial longitudinal strain

RVCS Right ventricular circumferential strain

RVRS Right ventricular and radial strain

TT Tissue tracking

Keywords: ultrasound imaging, pulmonary hypertension, rat model, right heart function, multimodal fusion

Citation: Wang W, Ren M and Lu D (2025) Echocardiographic assessment and new advances of right ventricle function in rats with pulmonary hypertension. Front. Pharmacol. 16:1682105. doi: 10.3389/fphar.2025.1682105

Received: 08 August 2025; Accepted: 10 November 2025;
Published: 27 November 2025.

Edited by:

Ran Wang, Anhui Medical University, China

Reviewed by:

Nicoleta Baxan, Imperial College London, United Kingdom
Ashfaq Ahmad, Xi’an Jiaotong University, China

Copyright © 2025 Wang, Ren and Lu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dianxiang Lu, bHVkaWFueGlhbmdAMTI2LmNvbQ==; Ming Ren, MTEwNDIzNDU5N0BxcS5jb20=

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