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REVIEW article

Front. Cardiovasc. Med., 15 April 2022
Sec. Cardiovascular Imaging
Volume 9 - 2022 | https://doi.org/10.3389/fcvm.2022.778762

Imaging Assessment of Endothelial Function: An Index of Cardiovascular Health

  • 1Division of Cardiology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
  • 2Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
  • 3Department of Internal Medicine and Cardiology, German Heart Center Berlin, Berlin, Germany
  • 4Division of Ischemic Heart Disease and Critical Care, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States

Endothelial dysfunction is a key early mechanism in a variety of cardiovascular diseases and can be observed in larger conduit arteries as well as smaller resistance vessels (microvascular dysfunction). The presence of endothelial dysfunction is a strong prognosticator for cardiovascular events and mortality, and assessment of endothelial function can aid in selecting therapies and testing their response. While the gold standard method of measuring coronary endothelial function remains invasive angiography, several non-invasive imaging techniques have emerged for investigating both coronary and peripheral endothelial function. In this review, we will explore and summarize the current invasive and non-invasive modalities available for endothelial function assessment for clinical and research use, and discuss the strengths, limitations and future applications of each technique.

Introduction

Despite declines in cardiovascular disease (CVD) mortality rates over the past few decades, CVD still remains the leading cause of morbidity and mortality in the United States (1). Endothelial dysfunction contributes to atherosclerosis development and progression, which may ultimately lead to plaque rupture and cardiovascular events. Although the vascular endothelium serves many important functions including maintaining vasomotor tone and barrier functions, the most readily detectable means to define endothelial pathology or dysfunction in humans is by quantifying vasomotor responses to endothelial dependent stressors. The development in recent years of imaging strategies to measure endothelial function of the coronary and peripheral vessels has provided insights into important contributors of coronary artery disease (CAD) and the vascular response to therapeutic intervention. In this review, we will briefly examine mechanisms relating endothelial function and atherosclerosis, review imaging strategies, both invasive and non-invasive, to quantify endothelial function of the coronary and peripheral circulation, and discuss recent insights from human endothelial function studies.

Overview: The Vascular Endothelium

Dysfunction of the vascular endothelium is increasingly recognized as serving a prominent role in CVD pathology. The endothelium regulates vascular tone, smooth muscle cell proliferation, thrombosis, and leukocyte adhesion and platelet aggregation (2). Endothelial dysfunction, or alteration in normal function, often precedes the development of anatomic atherosclerotic disease progression and clinical manifestation. Examination of endothelial function can enhance risk stratification, improve early detection of disease and be used to assess the vascular response to therapeutic intervention (3).

Healthy endothelial cells respond to local and systemic factors by producing and releasing vasoactive molecules to maintain vascular tone, a balance between vasodilation and vasoconstriction (4). A defining feature of endothelium-dependent relaxation is the release of nitric oxide (NO), which diffuses to vascular smooth muscle cells and results in cGMP-mediated vasodilation (4). NO is released in response to a variety of signals, such as adenosine, serotonin, catecholamines, ischemia, and shear stress (5). Conversely, systemic inflammation and increased reactive oxygen species (ROS) tend to counter the effects of NO, and can result in chronic endothelial dysfunction (6). Cardiovascular risk factors such as hyperlipidemia, hypertension, and diabetes may result in dysregulation of endothelial nitric oxide synthase (eNOS) and ROS (7), leading to endothelial dysfunction, one of the earliest steps in the atherosclerotic disease process (8). Although dysfunctional endothelium is characterized by increased vascular inflammation, permeability and thrombosis, it is impaired vasodilation in response to stressors that increase NO that is the most readily measurable response in humans and detectable by imaging.

In the peripheral conduit vessels, endothelial function is typically evaluated in the brachial artery due to its accessibility, and measures can be performed invasively (forearm plethysmography) or non-invasively (brachial ultrasound for flow mediated dilation) by evaluating the vasomotor response to endothelial dependent stressors (9). Measuring endothelial function of the coronary arteries is more challenging but important as the clinical impact of coronary endothelial dysfunction is greater than other vascular beds. Coronary endothelial function (CEF) is typically examined through invasive measures during coronary angiography. Coronary arteries are prone to atherosclerosis and studying CEF provides new information about the heterogeneity of endothelial function and contributors to plaque formation in patients with, or at risk for coronary artery disease. However, the invasive measurement of CEF carries procedural risk and preclude studies in lower risk patients over time. Newer non-invasive measures of CEF including with magnetic resonance imaging (MRI) and positron emission tomography (PET) promise new insights into the pathophysiology of CVD in low risk and other populations not undergoing invasive angiography and can assess response to therapy. Finally, microcirculatory assessment of smaller vessels, comprised of pre-arterioles, arterioles, capillaries and venules, investigates endothelial function in vascular resistance, which mediates blood pressure and blood flow. The measure of endothelial function of the larger (conduit) or smaller (microvessels) provides important and complementary information which can help gauge CV risk and provide prognostic information for patients (10).

Techniques to Measure Endothelial Function in Humans: Invasive Coronary Endothelial Function Assessment

The measurement of human endothelial function primarily focuses on vasoreactivity testing, as this is the most clinically demonstrable function of the vascular endothelium (11). Coronary endothelial dysfunction predicts cardiovascular events and remains the most important vascular bed studied in vasoreactivity (10, 12, 13). The gold standard for coronary endothelial functional assessment is via invasive quantitative angiography to detect luminal changes in response to vasoactive stimuli, either pharmacologic or physiologic, that increase the endothelial release of NO (Figure 1) (14, 15).

FIGURE 1
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Figure 1. Coronary angiography for endothelial function assessment. Coronary angiography can be used for both epicardial and microvascular function assessment. Typically, acetylcholine is used as the endothelium dependent vasodilator for epicardial coronaries and adenosine is used for microcirculation assessment.

Coronary angiography for epicardial arterial dimension measurement is often performed with intracoronary infusion of acetylcholine. Acetylcholine is an endothelial-dependent vasodilator that is suitable for intracoronary infusion and is the most commonly used drug for the purposes of invasive vasomotor testing. Healthy endothelium should result in coronary arterial vasodilation and increased blood flow (by >50%) in response to low dose acetylcholine, while dysfunctional endothelium may lead to diminished blood flow response and even to paradoxical vasoconstriction. At higher doses, acetylcholine can result in constriction of small arteries via direct effect on smooth muscle cells, and may be used to evaluate microvascular function (16). Less commonly, other agents used in endothelial-dependent vasomotor testing have included bradykinin, papaverine and Substance P (17). In addition, adenosine has partial endothelial dependent effects (18). These vasoactive agents act on coronary microvasculature through vasodilation and increased flow, resulting in NO release and proximal coronary artery vasodilation, or flow-mediated dilation (FMD) (19, 20), permitting the study of epicardial endothelial function.

Coronary microvascular function can be studied invasively by measuring coronary blood flow changes and thereby coronary flow reserve using a Doppler wire. Generally, this is accomplished by placement of a Doppler-tipped guide wire into the coronary artery of interest, whereby continuous blood flow velocity is measured both at baseline and during intracoronary infusion of vasoactive substances (acetylcholine, adenosine, or papaverine) through the guiding catheter (17, 21, 22).

Further, invasive CEF assessment can also be performed by cold pressor testing (CPT) or exercise testing, both endothelial-dependent stressors (23). Exercise stress testing can be performed while supine using a bicycle ergometer with concurrent hemodynamic monitoring (24). Healthy coronary arteries dilate in response to these stressors, while paradoxical vasoconstriction occurs in diseased coronary arteries, suggesting underlying endothelial dysfunction.

Endothelial dysfunction diagnosed by invasive methods has been reported in several cardiometabolic disease states and is associated with future atherosclerosis and other adverse outcomes (13, 2527). These techniques have also been used in the assessment of endothelial dysfunction reversal with treatment therapies (28). The advantages of catheter-based methods of coronary endothelial assessment include the precision and accuracy of results obtained using this gold standard of testing, particularly in comparison to techniques that rely on surrogate measures of coronary arterial function (17). With this approach, however, come the limitations of an invasive procedure with intra-arterial injection of vasoactive medications that can have systemic adverse effects, along with exposure to radiation and contrast. Given these risks, repeat evaluation is often not performed. Invasive techniques are therefore largely limited to patients undergoing coronary angiography for clinical reasons. Additionally, in patients with CAD, vessel area measurements may be limited in coronary segments with atherosclerosis.

Non-Invasive Evaluation of Epicardial Coronary Endothelial Function

Magnetic Resonance Imaging for Assessment of Coronary Endothelial Function

Magnetic resonance imaging provides a reproducible and safe means to measure CEF non-invasively without contrast and with high spatial resolution. In addition, MRI offers the ability to quantify coronary blood flow velocity and determine blood flow, important in the assessment of microvascular endothelial vasoreactivity, as well as measures of vessel wall remodeling, important in the detection of early atherosclerosis. MR measures of coronary area and blood flow velocity have been validated and compared to invasive measures using quantitative coronary angiography with Doppler techniques in response to stress (2931). However, MRI has not been exploited to investigate coronary endothelial-dependent vasomotor responses in healthy and diseased states until more recently.

To measure CEF non-invasively, coronary MRI has been combined with isometric handgrip exercise (IHE), a known endothelial-dependent stressor to quantify IHE-induced coronary cross sectional area and blood flow change as quantitative measures of CEF (32). Using these MRI-IHE methods, initial studies showed impaired CEF in patients with CAD (32, 33) and separately in people living with HIV compared to risk factor matched control participants (3436). MR images were taken perpendicular to a proximal or middle straight segment of the coronary artery best identified on scout images (Figure 2) and all quantifications were performed during a period of least cardiac motion as previously described (32, 37, 38). Both anatomical (cross sectional area) and velocity-encoded (for coronary velocity and flow) images were quantified at baseline and during approximately 5 min of continuous isometric handgrip exercise while under direct supervision to ensure compliance. In addition, endothelial independent coronary vasoreactivity was assessed in a subset of healthy volunteers and CAD patients who additionally received sublingual nitroglycerin, and imaging was repeated (32). Moreover, the degree of coronary artery luminal stenosis in a given CAD patient was compared to local CEF within the same segment. In this initial study, normal, physiologic coronary vasodilation and increased coronary velocity and blood flow were observed in healthy subjects in response to handgrip, but not in CAD patients. Nitroglycerin, an endothelial- independent stressor induced normal vasodilation in patients with CAD, indicating preservation of vascular smooth muscle relaxation in the same segments where endothelial function was abnormal (32). Importantly, local CEF was more severely impaired in areas with significant luminal stenosis and early coronary wall thickening than that in minimally diseased vessels (32, 33). Furthermore, reproducibility (including intra-interobserver and interscan) on the same day and over time (8 weeks) was robust, important for designing future intervention studies using this technique (32, 39). Therefore, these MRI methods to non-invasively and reproducibly characterize CEF provide an opportunity to allow the monitoring of inventions aimed at an early stage of coronary disease. The main limitation of the technique is lack of widespread availability and that the 2D approach does not permit CEF measurements of the entire coronary tree. Finally, because the protocol involves serial breath holds, the study may be difficult in sicker patients with respiratory problems.

FIGURE 2
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Figure 2. Example of coronary endothelial function (CEF) testing using non-contrast MRI with isometric handgrip exercise (IHE). Scout MRI (A) and cross-sectional cine (B–D) and phase-contrast images (E,F) in a healthy subject showing RCA in cross-section (red arrow). In the expanded inset sections, coronary area increases from rest (C) to IHE (D) and velocity and flow increase from rest (E) to stress (F) (note that increased darkness represents increased signal and thus velocity down through the imaging plane). (G) Stress MRI protocol for CEF measures for endpoints: change in coronary cross sectional area and blood flow velocity (%) from baseline to stress (continuous IHE for 5–8 min). (H) Example coronary flow velocity curve of RCA.

Vascular Insights of Coronary Endothelial Function Studies

Important for any new study measuring endothelial function is to demonstrate that the vasoreactive response being measured truly reflects NO-mediated endothelial function. The normal coronary vasoreactive response to IHE detected by MRI was quantified before and during the infusion of the NO synthase inhibitor, NG-monomethyl-L-arginine (L-NMMA), to determine if the coronary response to IHE is NO-mediated, the defining feature of endothelial function (39). In this study, L-NMMA infusion blocked the normal coronary vasodilatory response and coronary blood flow increase with IHE in healthy participants, demonstrating that IHE is a primarily NO-dependent endothelial coronary stressor that can be combined with MRI to measure CEF. In addition, similar approaches were employed to quantify endothelial function of the internal mammary artery (IMA), a systemic vessel that rarely develops atherosclerosis, is often used as a coronary artery bypass graft, and has been previously used to study systemic endothelial function (38). These initial studies showed that the IMA response to IHE was NO-dependent and reproducible, was impaired in patients with CAD compared to healthy subjects and differed from the endothelial response of the coronary arteries in a given patient. In summary, MRI promises a non-invasive assessment of coronary vascular health that can be safely applied to low- and medium risk populations without the risks of invasive angiography.

Positron Emission Tomography/Computed Tomography for Assessment of Coronary Endothelial Function

Nuclear imaging methods can be used to evaluate myocardial blood flow and response to endothelial-dependent stressors. PET can be used to estimate coronary flow reserve and myocardial regional perfusion using intravenously injected tracers (15Oxygen-labeled water, 13Nitrogen-ammonia, and 82Rubidium), and studies have revealed abnormalities in endothelial function prior to visible atherosclerosis on angiography (40, 41). These techniques have been successfully combined with CPT to assess CEF. CPT protocols typically involve immersion of the subject’s hand or foot into an ice bath at 2°C for at least 1 min prior to radioactive tracer injection and PET scan (42). CPT functions to increase myocardial oxygen demand via sympathetic activation, which should cause vasodilation and an endothelial-dependent increase in coronary blood flow in healthy subjects (43). Using these principles, cardiac PET during CPT has been shown to reflect epicardial vasomotor dysfunction in subjects at high risk for CAD (44). Abnormalities in myocardial blood flow on PET, regardless of concurrent CAD, appear to confer an increased relative risk of death and heart failure (42, 45). It is important to recognize that myocardial blood flow is affected by epicardial coronary vasomotor tone and microvascular function, making it challenging by PET imaging alone to determine whether changes in flow are related to conduit or resistance vessels (41).

The addition of computed tomography (CT) to PET can further enhance the sensitivity for atherosclerosis detection (46). A hybrid PET/CT approach has the ability to quantify changes in coronary cross-sectional area in response to stress, global, and relative myocardial perfusion, left ventricular functional performance, and coronary calcium score. This non-invasive tool for assessing coronary vascular health may represent a clinically relevant evaluation that can be performed in early disease or to predict downstream risk, however, its use has been primarily research-related (47).

Non-Invasive Evaluation of Myocardial Blood Flow Reserve as a Measure of Coronary Microvascular Function

Positron Emission Tomography

Among the currently available non-invasive methods for measuring myocardial blood flow and myocardial flow reserve with stress, PET is the most well studied and validated test (48). Images are obtained at rest and vasodilator-induced stress following injection of a radiotracer. Post-processing of images is then performed to quantify regional and global myocardial blood flow (ml/min/g of myocardium) (45, 49). Myocardial flow reserve (MFR) is calculated as the ratio of stress to rest myocardial blood flow (MBF). MBF is affected by myocardial oxygen demand, contractility, heart rate, blood pressure and preload, resulting in a reported resting MBF ranging from 0.4 to 1.4 ml/g/min (50). Typically, MFR < 2.0 is considered abnormal and consistent with microvascular dysfunction in the absence of significance epicardial disease as changes in MFR can be due to epicardial and/or microvascular changes in blood flow (50). A representative image is provided showing rest and stress images with PET in a patient with microvascular dysfunction and no CAD on invasive angiography (Figure 3).

FIGURE 3
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Figure 3. PET rest/stress images and coronary angiography in a patient with microvascular dysfunction. (A) Perfusion images demonstrate no evidence of stress (regadenoson)-induced myocardial ischemia. (B) Provides quantitative myocardial perfusion analysis with an overall reduced coronary flow reserve of 1.89, indicative of mild diffuse microvascular disease. The functional analysis for this patient showed normal wall motion. No obstructive coronary artery disease was seen on angiography of the left anterior descending (C), left circumflex (C) and right coronary (D) arteries.

Multiple studies have evaluated the prognostic implications of MFR by PET. Studies have demonstrated that dysfunction seen on PET can identify individuals at high risk for major adverse cardiac events and cardiovascular death in those with and without obstructive CAD (5153). Moreover, PET has been shown to reclassify risk in about one third of patients when compared to only traditional cardiovascular risk factors (54). The benefits of PET in prognosticating cardiac death may be particularly evident in specific groups such as those with cardiometabolic diseases (55, 56). Notably, abnormal MFR on PET has also been shown to be predictive of hospitalizations for heart failure in patients with heart failure with preserved ejection fraction (57). Despite several studies enhancing risk assessment using PET, there are limited studies using PET measures to evaluate therapeutic interventions and response, likely due to concerns about radiation exposure. Prior studies using PET imaging have examined the therapeutic response to statins and bariatric surgery (45, 58, 59).

Ultimately, the advantages of dynamic PET myocardial imaging include validation by microsphere blood flow studies in preclinical animal models and human studies (60, 61). PET also offers better spatial resolution and lower radiation exposure compared to single-photon-emission-computed-tomography (SPECT) perfusion (60). However, PET imaging is associated with high cost, limited radiotracer availability and advanced equipment, which can be a limitation to routine and widespread use.

Cardiovascular Magnetic Resonance Perfusion Imaging

Non-invasive assessment of impaired myocardial blood flow, which contributes to ischemia in patients with CAD and cardiomyopathy, can be performed using stress perfusion cardiovascular magnetic resonance (CMR), which may be especially helpful for serial examinations evaluating treatment success (62). Stress perfusion CMR, distinct from coronary vasoreactivity approaches mentioned above, typically uses vasodilator stress (i.e., adenosine) to detect macrovascular (i.e., coronary stenosis) and microvascular differences in myocardial blood flow in response to stress. Recently, studies have employed fully quantitative stress myocardial perfusion techniques in patients with no obstructive CAD and detected reduced myocardial perfusion reserve, not explained by cardiac hypertrophy or fibrosis (63). The ability of CMR to study ventricular function/structure and fibrosis make it well-suited to be used in combination with stress perfusion techniques, especially in patients with left ventricular hypertrophy.

Stress perfusion CMR techniques have also been employed to evaluate patients at risk for microvascular dysfunction. Clinical guidelines have recently added microvascular dysfunction to epicardial stenosis and epicardial coronary spasm as one of the mechanisms of myocardial ischemia in patients with CAD (64). One study used stress CMR techniques and showed that myocardial perfusion reserve index was impaired in women with no obstructive CAD on coronary angiography, reflecting microvascular dysfunction compared to reference controls (65). A randomized trial in this setting showed that medical therapy with ranolazine improved angina and reduced ischemic burden in woman with myocardial ischemia detected by stress CMR in the absence of obstructive CAD, suggesting a possible use of MRI for therapeutic assessment (66). Additionally, in patients with infiltrative heart disease such as amyloidosis, it has been demonstrated that impaired myocardial perfusion is related to abnormalities in myocardial structure and function not only at stress, but also at rest (67). Taken together, studies support the use of stress perfusion CMR to investigate myocardial perfusion reserve, which reflects microvascular dysfunction in the absence of CAD. In addition, stress CMR has already demonstrated high prognostic value and cost-effectiveness compared to invasive strategies (68, 69). While classically, limitations of this technique included the need for highly specialized equipment and providers, recent technical developments now allow quantitative and fully automated assessment of myocardial ischemia using stress CMR, which may enable the broad use of this modality outside of specialized centers (70).

Computed Tomography Angiography

The homogeneity of myocardial perfusion can be readily assessed by its uptake of iodine contrast medium and its associated X-ray attenuation. George et al. demonstrated that myocardial perfusion can be quantified using CT and that reversible perfusion defects can be identified after vasodilator challenge analogous to nuclear imaging techniques (71). CT scanning is performed using injection of an iodinated contrast agent with prospective electrocardiographic gating. Microvascular function may be assessed by determining MBF at rest and after vasodilator challenge with abnormal flow reserve typically defined as a ratio of <2.0 (60). In the absence of obstructive CAD and local myocardial perfusion defects, reduced MFR can be attributed to microvascular dysfunction. Figure 4 shows an imaging example of a patient with a severe myocardial perfusion defect in the lateral and posterolateral walls post infarct.

FIGURE 4
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Figure 4. Representative CT perfusion images and polar plots. Images demonstrate severe myocardial perfusion abnormalities in the lateral and posterolateral walls in a patient with history of myocardial infarction. (A) Depicts a cardiac four-chamber view with arrows pointing to hypodense areas in the subendocardial and mid myocardial levels, representing perfusion defects. In addition, thinning of the myocardium is consistent with prior infarct. (B) Provides a cross-sectional assessment of the same case. (C) (Polar plot) shows the corresponding perfusion indices, with the affected myocardial segments provided in (D).

Advantages of CT include faster image acquisition than with nuclear techniques and markedly superior spatial resolution. Directly compared to nuclear myocardial perfusion imaging using exercise or vasodilator challenge, CT myocardial perfusion yields at least equivalent accuracy for identifying patients with CAD (72). Another major advantage of cardiac CT is the assessment of both coronary arterial anatomy and myocardium. Using contemporary technology, rest-vasodilator CT for coronary angiography and myocardial perfusion imaging can be performed with radiation doses lower than standard nuclear perfusion imaging using SPECT, though requiring two contrast applications of approximately 60 ml each (72). Determining MBF and coronary flow reserve by CT myocardial perfusion imaging is possible using dynamic imaging, i.e., continued imaging over several cardiac cycles (73).

Application of dynamic CT imaging had been hindered by high associated radiation exposure to the patient but new protocols have been developed using lower tube settings which have reduced radiation to levels similar to that by conventional rest-vasodilator myocardial perfusion protocols (73). Comparison to PET revealed high accuracy of dynamic CT for detecting abnormal MBF using a mean radiation dose of 8.4 mSv (74). Further radiation dose reductions are feasible using intermittent instead of continuous scanning, thus overcoming one of the major limitations of dynamic CT perfusion imaging and opening the possibility of comprehensive coronary arterial and myocardial assessment.

Peripheral Endothelial Function Assessment

Brachial Artery Flow Mediated Dilatation

In the early 1990s, high-resolution B-mode ultrasound and Doppler emerged as a non-invasive tool to measure brachial artery diameter and flow changes in response to vasomotor stimuli in research investigations of endothelial function, and remain as such currently (9, 75). Specifically, flow-mediated vasodilatation (FMD) of the brachial artery (or forearm radial artery) measures a focal segment of the artery to dilate in response to NO release induced by a 5 min blood pressure cuff occlusion and release (hyperemic stimulus). Oral nitroglycerin is typically used as the non-endothelium dependent vasoactive stimulus. Calculation of the % FMD is the percent change in arterial diameter post-stimulus compared to the baseline diameter, measured manually or with edge-detection software (76). Doppler velocity of the artery is also acquired at baseline, and upon immediate and 2 min post cuff release. Baseline and hyperemic blood flow are calculated from the time-averaged pulsed Doppler spectral trace time-velocity integral (NOVA Medical School) from the onset of one waveform to the beginning of the next waveform. A representative image is shown in Figure 5 (9). Over the course of time, there have been some modifications of the technical method and exam protocol, but studies relying on this technique provide insight into endothelial function at the imaging site, the time course of diameter changes and flow, and the role of distal microvascular physiology (75, 77).

FIGURE 5
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Figure 5. Ultrasound Images Demonstrating Brachial Flow-Mediated Dilatation. (A) Shows the brachial artery at rest with arterial diameter of 3.88 mm. (B) Shows the artery 1 min after hyperemic stimulus with arterial diameter of 4.09 mm. Figure reproduced with permission from Corretti et al. (9) copyright JACC (Elsevier).

Advantages of the FMD technique include relative cost-effectiveness, easy access, availability, and validated digital software for more automated analyses. In addition there is robust reproducibility in experienced labs and importantly, strong evidence that endothelial dysfunction measured with FMD predicts cardiovascular events (78). However, optimal acquisition of the vessel images and Doppler in a time-sensitive manner is technically challenging, with a significant learning curve to achieve and maintain high-quality, consistent performance and reproducibility in data acquisition and interpretation. Differences in methodological technique and exam protocols also limit the comparability, accuracy, validity, and reproducibility. Nevertheless, brachial FMD methods provide a validated non-invasive assessment of endothelial function.

Venous and Arterial Plethysmography

Venous occlusion plethysmography is an invasive, extensively used research technique to study human vascular physiology and pharmacology in vivo. The technique indirectly measures microvascular function as forearm blood flow in response to an intra-arterial infusion of a vasoactive substance such as acetylcholine, adenosine, or nitroglycerin into either the brachial or radial artery, or alternatively to reactive hyperemia induced by increased shear stress. The contralateral arm is used as the control, and the results are expressed as the ratio of the changes in flow measured in both arms (79). Training is essential to ensure standardization and quality control. The technique is validated, reliable, and highly reproducible (79). However, its invasive nature precludes application for routine clinical use. Additionally, the various anatomic, physiologic and technical factors involved with venous plethysmography limit its application to study changes between individuals, groups or in large populations. A limitation to plethysmography and applanation tomography include lack of standardization. Nonetheless, it remains a valuable research tool to evaluate the pathologic mechanisms underlying endothelial dysfunction, the effect of various therapeutic interventions and risk factor modifications.

Similarly, finger plethysmography (peripheral arterial/amplitude tonometry) can be used to assess peripheral endothelial function in the digital microvasculature (75, 80). Pulse amplitude tonometry (commercially available as Endo-PAT2000 (Pulse Arterial Tone), Itamar Medical) is an FDA approved product that records pulse amplitude in the individual’s fingertip at rest and during reactive hyperemia (81). Hyperemia is induced by occluding blood flow through the brachial artery for 5 min using an inflatable cuff. Hyperemia in the fingertip increases the pulse amplitude. Proprietary software is applied to obtain the net response is expressed as the reactive hyperemia pulse amplitude tonometry index (RHI), considered a marker of endothelial function. The endothelium-mediated change in the PAT signal, elicited by the downstream hyperemic response, is calculated automatically by the system. A PAT ratio is then created using the post and pre occlusion values normalized to measurements from the contralateral arm (control). Importantly, studies have shown that peripheral microvascular dysfunction predicts future cardiovascular events (82, 83).

Endothelial Function in the Coronary vs. Peripheral Circulation

Although abnormal systemic and coronary endothelial function are predictors of cardiovascular events, vasoreactivity across different vascular beds are not always closely associated. Studies comparing to coronary systemic endothelial function have shown that the correlation between the two may be modest (38, 84). Further, other studies have shown that endothelial dysfunction is not always uniform across vascular regions or even within the coronary tree of the same individual (32, 38). These regional differences in endothelial function may be due differences in local shear, downstream resistance vessels, neurohormonal regulation or propensity to develop atherosclerosis and plaque rupture. Taken together, endothelial function measures of different vascular beds may provide complementary information, each with unique strengths and limitations (Table 1). However, further studies are need to elucidate the relative role of endothelial measures in different vessels.

TABLE 1
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Table 1. Comparison of the invasive and non-invasive methods for assessing endothelial function.

Clinical Studies and Applications

Both established and newer cardiovascular risk factors can adversely affect endothelial function, including obesity, diabetes, smoking, and inflammation/oxidative stress (7, 8). To this end, the measurement of endothelial vasoreactivity serves as an index of the sum total effects of environmental and genetic factors on the vasculature. Furthermore endothelial dysfunction is a marker for subclinical disease, an independent predictor of adverse cardiovascular events, and a potential target for medical interventions (78, 82). One study using PET showed that cigarette smokers have reduced MFR, with improvement seen with smoking cessation (85). Similarly, initiation of antihypertensives can result in improved endothelial function in patients with hypertension (86). Obese patients were reported to demonstrate impaired MBF with improvement after bariatric surgery (59). In addition, MFR is reduced in patients with diabetes, with some suggestion that endothelial function (measured by FMD) may improve with dapagliflozin (55, 87).

Recently, coronary microvascular dysfunction has been implicated in multiple disease processes including microvascular angina, a common encountered disorder which can lead to ischemia or myocardial infarction, even in the absence of obstructive coronary artery disease (60). Microvascular angina due to ischemia with non-obstructive coronary arteries (INOCA) can be challenging to diagnose, with a heterogenous approach to patients and many knowledge gaps with regards to treatment. The CorMicA trial showed that guiding therapy by invasive provocative coronary testing in patients with INOCA identified to have microvascular dysfunction may be of clinical benefit (88). Recent methods using stress perfusion CMR are being employed in the CorCMR study to evaluate whether a non-invasive approach to assess coronary microvascular dysfunction in INOCA patients improves cardiovascular risk and anginal symptoms (89). The results of study may have important clinical implications in this patient population, where there is less evidence in terms of diagnostic testing and treatment. Furthermore, using these approaches to quantify coronary microvascular function may provide clinically meaningful information beyond what is possible using standard anatomic and ischemia assessment with the ultimate goal of improving patient outcomes. It is important to note that many of the techniques described in this review (PET, specialized CMR, and CT perfusion) are not yet widely available clinically, however, may play an important role in the evaluation of patients with INOCA and to test early therapies to justify larger clinical trials with hard end points.

Both coronary and systemic endothelial function measures have been used as endpoints in clinical intervention trials after the techniques were shown to be reproducible in the short and intermediate term (90). Studies using endothelial function as an endpoint enable the assessment of the vascular impact of emerging treatment strategies and can guide novel drug development, such as approaches to target oxidative stress or inflammation. Studies targeting the xanthine oxidase (XO) system, a significant source of vascular oxidative stress, or systemic inflammation using colchicine have used CEF testing as a surrogate imaging endpoint over time in randomized placebo-controlled clinical trials (90, 91). Recently, impaired CEF in people with HIV and dyslipidemia improved with short term treatment with the PCSK9 inhibitor, evolocumab, indicating that the MRI-CEF technique can detect rapid improvements in CEF in response to treatment (92). Therefore, this approach enables future studies focused on repeated CEF measures in healthy and lower risk populations over time.

Conclusion

Endothelial dysfunction is now a well-established gauge of cardiovascular risk and predicts future adverse events. Recently, endothelial dysfunction has been implicated as a contributor to a variety of cardiovascular diseases including INOCA, stress cardiomyopathy, preeclampsia and heart failure with preserved ejection fraction among others (26, 93). We have summarized multiple methods that are available for probing coronary and peripheral endothelial, each with specific strengths and weaknesses, and different values for defining pathology (Table 2). Currently available endothelial testing methods are helpful for mechanistic understanding of disease and for risk stratification and prognostication. It is important to recognize, though, that using a pharmacological stressor for imaging to assess endothelial function will often detect function in response to a combination of endothelial and non-endothelial dependent mechanisms, and depending on the stressor and imaging modality, this should be considered. Increasingly endothelial function testing is being explored for clinical management and evaluation of therapeutic response, although there are currently no guidelines recommending use of endothelial function in routine patient management. Nonetheless, evidence continues to grow in the role of the vascular endothelium in disease pathophysiology and ongoing large-scale studies are essential for the evaluation of therapies targeting endothelial function.

TABLE 2
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Table 2. Range of normal values for coronary flow reserve (invasive) and myocardial flow or perfusion reserve (non-invasive) with different imaging modalities.

Author Contributions

AM, EG, MC, AA-Z, SK, and AH drafted the manuscript. TL and AL edited the manuscript. All authors contributed to the article and approved the submitted version.

Funding

AM was supported by National Heart, Lung, and Blood Institute training grant T32HL007024, the Johns Hopkins University Lou and Nancy Grasmick Research Fellowship and the Marie-Josée and Henry R. Kravis Endowed Fellowship in Honor of Dr. James L. Weiss. AH was supported by the NIH/NHLBI 1R01HL147660. EG was supported by the Ruth L. Kirschstein Institutional National Research Service Award T32HL007227. TL received a Career Development Award from the American Heart Association (19CDA34760040) and Clinician Scientist Career Development Award from the Johns Hopkins School of Medicine. AA-Z has received research support from Canon Medical Systems. SK was supported by a grant from Philips Healthcare and received funding by the German Ministry of Education and Research and was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-1470 – B06.

Conflict of Interest

AA-Z has received research support from Canon Medical Systems. AL serves as a consultant for Itamar Medical.

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

Publisher’s Note

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References

1. Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, et al. Heart disease and stroke statistics—2020 update: a report from the American heart association. Circulation. (2020) 141:e139–596. doi: 10.1161/CIR.0000000000000757

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Vita JA, Keaney JF. Endothelial function: a barometer for cardiovascular risk? Circulation. (2002) 106:640–2. doi: 10.1161/01.cir.0000028581.07992.56

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Flammer AJ, Anderson T, Celermajer DS, Creager MA, Deanfield J, Ganz P, et al. The assessment of endothelial function: from research into clinical practice. Circulation. (2012) 126:753–67. doi: 10.1161/CIRCULATIONAHA.112.093245

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Deanfield JE, Halcox JP, Rabelink TJ. Endothelial function and dysfunction: testing and clinical relevance. Circulation. (2007) 115:1285–95. doi: 10.1161/CIRCULATIONAHA.106.652859

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Moncada S, Erusalimsky JD. Does nitric oxide modulate mitochondrial energy generation and apoptosis? Nat Rev Mol Cell Biol. (2002) 3:214–20. doi: 10.1038/nrm762

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Rhee SG. Cell signaling. H2O2, a necessary evil for cell signaling. Science. (2006) 312:1882–3. doi: 10.1126/science.1130481

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Celermajer DS, Sorensen KE, Bull C, Robinson J, Deanfield JE. Endothelium-dependent dilation in the systemic arteries of asymptomatic subjects relates to coronary risk factors and their interaction. J Am Coll Cardiol. (1994) 24:1468–74. doi: 10.1016/0735-1097(94)90141-4

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Ross R. Atherosclerosis–an inflammatory disease. N Engl J Med. (1999) 340:115–26.

Google Scholar

9. Corretti MC, Anderson TJ, Benjamin EJ, Celermajer D, Charbonneau F, Creager MA, et al. Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery. J Am Coll Cardiol. (2002) 39:257–65. doi: 10.1016/s0735-1097(01)01746-6

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Halcox JPJ, Schenke WH, Zalos G, Mincemoyer R, Prasad A, Waclawiw MA, et al. Prognostic value of coronary vascular endothelial dysfunction. Circulation. (2002) 106:653–8. doi: 10.1161/01.cir.0000025404.78001.d8

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hasdai D, Lerman A. The assessment of endothelial function in the cardiac catheterization laboratory in patients with risk factors for atherosclerotic coronary artery disease. Herz. (1999) 24:544–7. doi: 10.1007/BF03044226

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Schächinger V, Britten MB, Zeiher AM. Prognostic impact of coronary vasodilator dysfunction on adverse long-term outcome of coronary heart disease. Circulation. (2000) 101:1899–906. doi: 10.1161/01.cir.101.16.1899

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Schindler TH, Hornig B, Buser PT, Olschewski M, Magosaki N, Pfisterer M, et al. Prognostic value of abnormal vasoreactivity of epicardial coronary arteries to sympathetic stimulation in patients with normal coronary angiograms. Arterioscler Thromb Vasc Biol. (2003) 23:495–501. doi: 10.1161/01.ATV.0000057571.03012.F4

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Zeiher AM, Drexler H, Wollschläger H, Just H. Modulation of coronary vasomotor tone in humans. Progressive endothelial dysfunction with different early stages of coronary atherosclerosis. Circulation. (1991) 83:391–401. doi: 10.1161/01.cir.83.2.391

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Drexler H, Zeiher AM. Progression of coronary endothelial dysfunction in man and its potential clinical significance. In: H Drexler, AM Zeiher, E Bassenge, H Just editors. Endothelial Mechanisms of Vasomotor Control. Heidelberg: Steinkopff (1991). p. 223–32. doi: 10.1007/978-3-642-72461-9_22

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Ludmer PL, Selwyn AP, Shook TL, Wayne RR, Mudge GH, Alexander RW, et al. Paradoxical vasoconstriction induced by acetylcholine in atherosclerotic coronary arteries. N Engl J Med. (1986) 315:1046–51. doi: 10.1056/NEJM198610233151702

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Niccoli G, Scalone G, Crea F. Coronary functional tests in the catheterization laboratory – pathophysiological and clinical relevance. Circ J. (2015) 79:676–84. doi: 10.1253/circj.CJ-15-0201

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Smits P, Williams SB, Lipson DE, Banitt P, Rongen GA, Creager MA. Endothelial release of nitric oxide contributes to the vasodilator effect of adenosine in humans. Circulation. (1995) 92:2135–41. doi: 10.1161/01.cir.92.8.2135

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Cox DA, Vita JA, Treasure CB, Fish RD, Alexander RW, Ganz P, et al. Atherosclerosis impairs flow-mediated dilation of coronary arteries in humans. Circulation. (1989) 80:458–65. doi: 10.1161/01.cir.80.3.458

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Drexler H, Zeiher AM, Wollschläger H, Meinertz T, Just H, Bonzel T. Flow-dependent coronary artery dilatation in humans. Circulation. (1989) 80:466–74. doi: 10.1161/01.cir.80.3.466

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Raitakari OT, Celermajer DS. Testing for endothelial dysfunction. Ann Med. (2000) 32:293–304. doi: 10.3109/07853890008995931

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Treasure CB, Klein JL, Vita JA, Manoukian SV, Renwick GH, Selwyn AP, et al. Hypertension and left ventricular hypertrophy are associated with impaired endothelium-mediated relaxation in human coronary resistance vessels. Circulation. (1993) 87:86–93. doi: 10.1161/01.cir.87.1.86

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Nabel EG, Ganz P, Gordon JB, Alexander RW, Selwyn AP. Dilation of normal and constriction of atherosclerotic coronary arteries caused by the cold pressor test. Circulation. (1988) 77:43–52. doi: 10.1161/01.cir.77.1.43

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Gordon JB, Ganz P, Nabel EG, Fish RD, Zebede J, Mudge GH, et al. Atherosclerosis influences the vasomotor response of epicardial coronary arteries to exercise. J Clin Invest. (1989) 83:1946–52. doi: 10.1172/JCI114103

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Houghton JL, Smith VE, Strogatz DS, Henches NL, Breisblatt WM, Carr AA. Effect of African-American race and hypertensive left ventricular hypertrophy on coronary vascular reactivity and endothelial function. Hypertension. (1997) 29:706–14. doi: 10.1161/01.hyp.29.3.706

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Verna E, Provasoli S, Ghiringhelli S, Morandi F, Salerno-Uriarte J. Abnormal coronary vasoreactivity in transient left ventricular apical ballooning (tako-tsubo) syndrome. Int J Cardiol. (2018) 250:4–10. doi: 10.1016/j.ijcard.2017.07.032

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Cosson E, Pham I, Valensi P, Paries J, Attali J-R, Nitenberg A. Impaired Coronary endothelium-dependent vasodilation is associated with microalbuminuria in patients with type 2 diabetes and angiographically normal coronary arteries. Diabetes Care. (2006) 29:107–12. doi: 10.2337/diacare.29.1.107

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Treasure CB, Klein JL, Weintraub WS, Talley JD, Stillabower ME, Kosinski AS, et al. Beneficial effects of cholesterol-lowering therapy on the coronary endothelium in patients with coronary artery disease. N Engl J Med. (1995) 332:481–7. doi: 10.1056/NEJM199502233320801

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, et al. Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the American heart association committee on cardiovascular imaging and intervention of the council on cardiovascular radiology and intervention, and the councils on clinical cardiology and cardiovascular disease in the young. Circulation. (2008) 118:586–606. doi: 10.1161/CIRCULATIONAHA.108.189695

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Yoon YE, Kitagawa K, Kato S, Ishida M, Nakajima H, Kurita T, et al. Prognostic value of coronary magnetic resonance angiography for prediction of cardiac events in patients with suspected coronary artery disease. J Am Coll Cardiol. (2012) 60:2316–22. doi: 10.1016/j.jacc.2012.07.060

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Hundley WG, Lange RA, Clarke GD, Meshack BM, Payne J, Landau C, et al. Assessment of coronary arterial flow and flow reserve in humans with magnetic resonance imaging. Circulation. (1996) 93:1502–8. doi: 10.1161/01.cir.93.8.1502

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Hays AG, Hirsch GA, Kelle S, Gerstenblith G, Weiss RG, Stuber M. Noninvasive visualization of coronary artery endothelial function in healthy subjects and in patients with coronary artery disease. J Am Coll Cardiol. (2010) 56:1657–65. doi: 10.1016/j.jacc.2010.06.036

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Hays AG, Iantorno M, Schär M, Mukherjee M, Stuber M, Gerstenblith G, et al. Local coronary wall eccentricity and endothelial function are closely related in patients with atherosclerotic coronary artery disease. J Cardiovasc Magn Reson. (2017) 19:51. doi: 10.1186/s12968-017-0358-2

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Iantorno M, Schär M, Soleimanifard S, Brown TT, Moore R, Barditch-Crovo P, et al. Coronary artery endothelial dysfunction is present in HIV-positive individuals without significant coronary artery disease. AIDS. (2017) 31:1281–9. doi: 10.1097/QAD.0000000000001469

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Iantorno M, Soleimanifard S, Schär M, Brown TT, Bonanno G, Barditch-Crovo P, et al. Regional coronary endothelial dysfunction is related to the degree of local epicardial fat in people with HIV. Atherosclerosis. (2018) 278:7–14. doi: 10.1016/j.atherosclerosis.2018.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Leucker TM, Weiss RG, Schär M, Bonanno G, Mathews L, Jones SR, et al. Coronary endothelial dysfunction is associated with elevated serum PCSK9 levels in people with HIV independent of low-density lipoprotein cholesterol. J Am Heart Assoc. (2018) 7:e009996. doi: 10.1161/JAHA.118.009996

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Hays AG, Kelle S, Hirsch GA, Soleimanifard S, Yu J, Agarwal HK, et al. Regional coronary endothelial function is closely related to local early coronary atherosclerosis in patients with mild coronary artery disease: pilot study. Circ Cardiovasc Imaging. (2012) 5:341–8. doi: 10.1161/CIRCIMAGING.111.969691

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Iantorno M, Hays AG, Schär M, Krishnaswamy R, Soleimanifard S, Steinberg A, et al. Simultaneous noninvasive assessment of systemic and coronary endothelial function. Circ Cardiovasc Imaging. (2016) 9:e003954. doi: 10.1161/CIRCIMAGING.115.003954

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Hays AG, Iantorno M, Soleimanifard S, Steinberg A, Schär M, Gerstenblith G, et al. Coronary vasomotor responses to isometric handgrip exercise are primarily mediated by nitric oxide: a noninvasive MRI test of coronary endothelial function. Am J Physiol Heart Circ Physiol. (2015) 308:H1343–50. doi: 10.1152/ajpheart.00023.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Beanlands RS, Muzik O, Melon P, Sutor R, Sawada S, Muller D, et al. Noninvasive quantification of regional myocardial flow reserve in patients with coronary atherosclerosis using nitrogen-13 ammonia positron emission tomography. Determination of extent of altered vascular reactivity. J Am Coll Cardiol. (1995) 26:1465–75. doi: 10.1016/0735-1097(95)00359-2

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Iantorno M, Weiss RG. Using advanced noninvasive imaging techniques to probe the links between regional coronary artery endothelial dysfunction and atherosclerosis. Trends Cardiovasc Med. (2014) 24:149–56. doi: 10.1016/j.tcm.2013.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Schindler TH, Nitzsche EU, Schelbert HR, Olschewski M, Sayre J, Mix M, et al. Positron emission tomography-measured abnormal responses of myocardial blood flow to sympathetic stimulation are associated with the risk of developing cardiovascular events. J Am Coll Cardiol. (2005) 45:1505–12. doi: 10.1016/j.jacc.2005.01.040

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Zeiher AM, Drexler H, Wollschlaeger H, Saurbier B, Just H. Coronary vasomotion in response to sympathetic stimulation in humans: importance of the functional integrity of the endothelium. J Am Coll Cardiol. (1989) 14:1181–90. doi: 10.1016/0735-1097(89)90414-2

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Schindler TH, Facta AD, Prior JO, Campisi R, Inubushi M, Kreissl MC, et al. PET-measured heterogeneity in longitudinal myocardial blood flow in response to sympathetic and pharmacologic stress as a non-invasive probe of epicardial vasomotor dysfunction. Eur J Nucl Med Mol Imaging. (2006) 33:1140–9. doi: 10.1007/s00259-006-0069-7

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Schindler TH, Schelbert HR, Quercioli A, Dilsizian V. Cardiac PET imaging for the detection and monitoring of coronary artery disease and microvascular health. JACC Cardiovasc Imaging. (2010) 3:623–40. doi: 10.1016/j.jcmg.2010.04.007

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Ziadi MC. Myocardial flow reserve (MFR) with positron emission tomography (PET)/computed tomography (CT): clinical impact in diagnosis and prognosis. Cardiovasc Diagn Ther. (2017) 7:206–18. doi: 10.21037/cdt.2017.04.10

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Al Badarin F, Aljizeeri A, Almasoudi F, Al-Mallah MH. Assessment of myocardial blood flow and coronary flow reserve with positron emission tomography in ischemic heart disease: current state and future directions. Heart Fail Rev. (2017) 22:441–53. doi: 10.1007/s10741-017-9625-4

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Taqueti VR, Di Carli MF. Coronary microvascular disease pathogenic mechanisms and therapeutic options. J Am Coll Cardiol. (2018) 72:2625–41. doi: 10.1016/j.jacc.2018.09.042

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Schindler TH, Zhang X-L, Vincenti G, Mhiri L, Lerch R, Schelbert HR. Role of PET in the evaluation and understanding of coronary physiology. J Nucl Cardiol. (2007) 14:589–603. doi: 10.1016/j.nuclcard.2007.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Schindler TH, Dilsizian V. Coronary microvascular dysfunction. JACC Cardiovasc Imaging. (2020) 13:140–55.

Google Scholar

51. Gupta A, Taqueti VR, van de Hoef TP, Bajaj NS, Bravo PE, Murthy VL, et al. Integrated noninvasive physiological assessment of coronary circulatory function and impact on cardiovascular mortality in patients with stable coronary artery disease. Circulation. (2017) 136:2325–36. doi: 10.1161/CIRCULATIONAHA.117.029992

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Herzog BA, Husmann L, Valenta I, Gaemperli O, Siegrist PT, Tay FM, et al. Long-term prognostic value of 13N-ammonia myocardial perfusion positron emission tomography added value of coronary flow reserve. J Am Coll Cardiol. (2009) 54:150–6. doi: 10.1016/j.jacc.2009.02.069

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Ziadi MC, Dekemp RA, Williams KA, Guo A, Chow BJW, Renaud JM, et al. Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia. J Am Coll Cardiol. (2011) 58:740–8. doi: 10.1016/j.jacc.2011.01.065

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Murthy VL, Naya M, Foster CR, Hainer J, Gaber M, Di Carli G, et al. Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation. (2011) 124:2215–24. doi: 10.1161/CIRCULATIONAHA.111.050427

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Murthy VL, Naya M, Foster CR, Gaber M, Hainer J, Klein J, et al. Association between coronary vascular dysfunction and cardiac mortality in patients with and without diabetes mellitus. Circulation. (2012) 126:1858–68. doi: 10.1161/CIRCULATIONAHA.112.120402

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Taqueti VR, Shaw LJ, Cook NR, Murthy VL, Shah NR, Foster CR, et al. Excess cardiovascular risk in women relative to men referred for coronary angiography is associated with severely impaired coronary flow reserve not obstructive disease. Circulation. (2017) 135:566–77. doi: 10.1161/circulationaha.116.023266

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Taqueti VR, Solomon SD, Shah AM, Desai AS, Groarke JD, Osborne MT, et al. Coronary microvascular dysfunction and future risk of heart failure with preserved ejection fraction. Eur Heart J. (2018) 39:840–9. doi: 10.1093/eurheartj/ehx721

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Yokoyama I. Impaired myocardial vasodilatation during hyperaemic stress is improved by simvastatin but not by pravastatin in patients with hypercholesterolaemia. Eur Heart J. (2004) 25:671–9. doi: 10.1016/j.ehj.2004.02.017

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Quercioli A, Montecucco F, Pataky Z, Thomas A, Ambrosio G, Staub C, et al. Improvement in coronary circulatory function in morbidly obese individuals after gastric bypass-induced weight loss: relation to alterations in endocannabinoids and adipocytokines. Eur Heart J. (2013) 34:2063–73. doi: 10.1093/eurheartj/eht085

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Feher A, Sinusas AJ. Quantitative assessment of coronary microvascular function: dynamic single-photon emission computed tomography, positron emission tomography, ultrasound, computed tomography, and magnetic resonance imaging. Circ Cardiovasc Imaging. (2017) 10:e006427. doi: 10.1161/CIRCIMAGING.117.006427

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Bergmann SR, Fox KA, Rand AL, McElvany KD, Welch MJ, Markham J, et al. Quantification of regional myocardial blood flow in vivo with H215O. Circulation. (1984) 70:724–33. doi: 10.1161/01.cir.70.4.724

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Crea F, Camici PG, Bairey Merz CN. Coronary microvascular dysfunction: an update. Eur Heart J. (2014) 35:1101–11. doi: 10.1093/eurheartj/eht513

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Zorach B, Shaw PW, Bourque J, Kuruvilla S, Balfour PC, Yang Y, et al. Quantitative cardiovascular magnetic resonance perfusion imaging identifies reduced flow reserve in microvascular coronary artery disease. J Cardiovasc Magn Reson. (2018) 20:14. doi: 10.1186/s12968-018-0435-1

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. ESC scientific document group. 2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. (2020) 41:407–77. doi: 10.1093/eurheartj/ehz425

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Shufelt CL, Thomson LEJ, Goykhman P, Agarwal M, Mehta PK, Sedlak T, et al. Cardiac magnetic resonance imaging myocardial perfusion reserve index assessment in women with microvascular coronary dysfunction and reference controls. Cardiovasc Diagn Ther. (2013) 3:153–60. doi: 10.3978/j.issn.2223-3652.2013.08.02

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Mehta PK, Goykhman P, Thomson LEJ, Shufelt C, Wei J, Yang Y, et al. Ranolazine improves angina in women with evidence of myocardial ischemia but no obstructive coronary artery disease. JACC Cardiovasc Imaging. (2011) 4:514–22. doi: 10.1016/j.jcmg.2011.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Dorbala S, Vangala D, Bruyere J, Quarta C, Kruger J, Padera R, et al. Coronary microvascular dysfunction is related to abnormalities in myocardial structure and function in cardiac amyloidosis. JACC Heart Fail. (2014) 2:358–67. doi: 10.1016/j.jchf.2014.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Kelle S, Nagel E, Voss A, Hofmann N, Gitsioudis G, Buss SJ, et al. A bi-center cardiovascular magnetic resonance prognosis study focusing on dobutamine wall motion and late gadolinium enhancement in 3,138 consecutive patients. J Am Coll Cardiol. (2013) 61:2310–2. doi: 10.1016/j.jacc.2013.02.063

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Petrov G, Kelle S, Fleck E, Wellnhofer E. Incremental cost-effectiveness of dobutamine stress cardiac magnetic resonance imaging in patients at intermediate risk for coronary artery disease. Clin Res Cardiol. (2015) 104:401–9. doi: 10.1007/s00392-014-0793-0

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Kotecha T, Martinez-Naharro A, Boldrini M, Knight D, Hawkins P, Kalra S, et al. Automated pixel-wise quantitative myocardial perfusion mapping by CMR to detect obstructive coronary artery disease and coronary microvascular dysfunction. JACC Cardiovasc Imaging. (2019) 12:1958–69. doi: 10.1016/j.jcmg.2018.12.022

PubMed Abstract | CrossRef Full Text | Google Scholar

71. George RT, Jerosch-Herold M, Silva C, Kitagawa K, Bluemke DA, Lima JAC, et al. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol. (2007) 42:815–22. doi: 10.1097/RLI.0b013e318124a884

PubMed Abstract | CrossRef Full Text | Google Scholar

72. George RT, Mehra VC, Chen MY, Kitagawa K, Arbab-Zadeh A, Miller JM, et al. Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease: a head-to-head comparison from the CORE320 multicenter diagnostic performance study. Radiology. (2014) 272:407–16. doi: 10.1148/radiol.14140806

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Nieman K, Balla S. Dynamic CT myocardial perfusion imaging. J Cardiovasc Comput Tomogr. (2020) 14:303–6.

Google Scholar

74. Alessio AM, Bindschadler M, Busey JM, Shuman WP, Caldwell JH, Branch KR. Accuracy of myocardial blood flow estimation from dynamic contrast-enhanced cardiac CT compared with PET. Circ Cardiovasc Imaging. (2019) 12:e008323. doi: 10.1161/CIRCIMAGING.118.008323

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Blumenthal RS, Foody JM, Wong ND, Braunwald E editors. Preventive Cardiology: a Companion to Braunwald’s Heart Disease. Philadelphia, PA: Elsevier/Saunders (2011).

Google Scholar

76. Haluska B, Sutherland A, Case C, Kennedy R, Marwick TH. Automated edge-detection technique for measurement of brachial artery reactivity: a comparison of concordance with manual measurements. Ultrasound Med Biol. (2001) 27:1285–9. doi: 10.1016/s0301-5629(01)00406-9

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Sorensen KE, Celermajer DS, Spiegelhalter DJ, Georgakopoulos D, Robinson J, Thomas O, et al. Non-invasive measurement of human endothelium dependent arterial responses: accuracy and reproducibility. Heart. (1995) 74:247–53. doi: 10.1136/hrt.74.3.247

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Matsuzawa Y, Kwon T, Lennon RJ, Lerman LO, Lerman A. Prognostic value of flow-mediated vasodilation in brachial artery and fingertip artery for cardiovascular events: a systematic review and meta-analysis. J Am Heart Assoc. (2015) 4:e002270. doi: 10.1161/JAHA.115.002270

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Wilkinson IB, Webb DJ. Venous occlusion plethysmography in cardiovascular research: methodology and clinical applications. Br J Clin Pharmacol. (2001) 52:631–46. doi: 10.1046/j.0306-5251.2001.01495.x

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Kuvin JT, Patel AR, Sliney KA, Pandian NG, Sheffy J, Schnall RP, et al. Assessment of peripheral vascular endothelial function with finger arterial pulse wave amplitude. Am Heart J. (2003) 146:168–74. doi: 10.1016/S0002-8703(03)00094-2

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Axtell AL, Gomari FA, Cooke JP. Assessing endothelial vasodilator function with the Endo-PAT 2000. J Vis Exp. (2010) 44:2167. doi: 10.3791/2167

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Heitzer T, Schlinzig T, Krohn K, Meinertz T, Münzel T. Endothelial dysfunction, oxidative stress, and risk of cardiovascular events in patients with coronary artery disease. Circulation. (2001) 104:2673–8. doi: 10.1161/hc4601.099485

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Rubinshtein R, Kuvin JT, Soffler M, Lennon RJ, Lavi S, Nelson RE, et al. Assessment of endothelial function by non-invasive peripheral arterial tonometry predicts late cardiovascular adverse events. Eur Heart J. (2010) 31:1142–8. doi: 10.1093/eurheartj/ehq010

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Anderson TJ, Uehata A, Gerhard MD, Meredith IT, Knab S, Delagrange D, et al. Close relation of endothelial function in the human coronary and peripheral circulations. J Am Coll Cardiol. (1995) 26:1235–41. doi: 10.1016/0735-1097(95)00327-4

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Morita K, Tsukamoto T, Naya M, Noriyasu K, Inubushi M, Shiga T, et al. Smoking cessation normalizes coronary endothelial vasomotor response assessed with 15O-water and PET in healthy young smokers. J Nucl Med. (2006) 47:1914–20.

PubMed Abstract | Google Scholar

86. Modena MG, Bonetti L, Coppi F, Bursi F, Rossi R. Prognostic role of reversible endothelial dysfunction in hypertensive postmenopausal women. J Am Coll Cardiol. (2002) 40:505–10. doi: 10.1016/s0735-1097(02)01976-9

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Shigiyama F, Kumashiro N, Miyagi M, Ikehara K, Kanda E, Uchino H, et al. Effectiveness of dapagliflozin on vascular endothelial function and glycemic control in patients with early-stage type 2 diabetes mellitus: DEFENCE study. Cardiovasc Diabetol. (2017) 16:84. doi: 10.1186/s12933-017-0564-0

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Ford TJ, Stanley B, Good R, Rocchiccioli P, McEntegart M, Watkins S, et al. Stratified medical therapy using invasive coronary function testing in angina: the CorMicA trial. J Am Coll Cardiol. (2018) 72:2841–55. doi: 10.1016/j.jacc.2018.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Corcoran D, Ford TJ, Hsu L-Y, Chiribiri A, Orchard V, Mangion K, et al. Rationale and design of the coronary microvascular angina cardiac magnetic resonance imaging (CorCMR) diagnostic study: the CorMicA CMR sub-study. Open Heart. (2018) 5:e000924. doi: 10.1136/openhrt-2018-000924

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Hays AG, Iantorno M, Schär M, Lai S, Czarny M, Breton E, et al. The influence of febuxostat on coronary artery endothelial dysfunction in patients with coronary artery disease: a phase 4 randomized, placebo-controlled, double-blind, crossover trial. Am Heart J. (2018) 197:85–93. doi: 10.1016/j.ahj.2017.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Hays AG, Schär M, Barditch-Crovo P, Bagchi S, Bonanno G, Meyer J, et al. A randomized, placebo-controlled, double-blinded clinical trial of colchicine to improve vascular health in people living with HIV. AIDS. (2021) 35:1041–50. doi: 10.1097/QAD.0000000000002845

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Leucker TM, Gerstenblith G, Schär M, Brown TT, Jones SR, Afework Y, et al. Evolocumab, a PCSK9-monoclonal antibody, rapidly reverses coronary artery endothelial dysfunction in people living with HIV and people with dyslipidemia. J Am Heart Assoc. (2020) 9:e016263. doi: 10.1161/JAHA.120.016263

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Shah SJ, Lam CSP, Svedlund S, Saraste A, Hage C, Tan R-S, et al. Prevalence and correlates of coronary microvascular dysfunction in heart failure with preserved ejection fraction: PROMIS-HFpEF. Eur Heart J. (2018) 39:3439–50. doi: 10.1093/eurheartj/ehy531

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Beltrame JF, Crea F, Kaski JC, Ogawa H, Ong P, Sechtem U, et al. International standardization of diagnostic criteria for vasospastic angina. Eur Heart J. (2015) 38:ehv351. doi: 10.1093/eurheartj/ehv351

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Rahman H, Demir OM, Ryan M, McConkey H, Scannell C, Ellis H, et al. Optimal use of vasodilators for diagnosis of microvascular angina in the cardiac catheterization laboratory. Circ Cardiovasc Interv. (2020) 13:e009019. doi: 10.1161/CIRCINTERVENTIONS.120.009019

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Löffler AI, Bourque JM. Coronary microvascular dysfunction, microvascular angina, and management. Curr Cardiol Rep. (2016) 18:1. doi: 10.1007/s11886-015-0682-9

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Thomson LEJ, Wei J, Agarwal M, Haft-Baradaran A, Shufelt C, Mehta PK, et al. Cardiac magnetic resonance myocardial perfusion reserve index is reduced in women with coronary microvascular dysfunction: a national heart, lung, and blood institute-sponsored study from the women’s ischemia syndrome evaluation. Circ Cardiovasc Imaging. (2015) 8:10. doi: 10.1161/CIRCIMAGING.114.002481

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Zhou W, Lee JCY, Leung ST, Lai A, Lee T-F, Chiang JB, et al. Long-term prognosis of patients with coronary microvascular disease using stress perfusion cardiac magnetic resonance. JACCCardiovasc Imaging. (2021) 14:602–11. doi: 10.1016/j.jcmg.2020.09.034

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Matsue Y, Suzuki M, Nagahori W, Ohno M, Matsumura A, Hashimoto Y, et al. Endothelial dysfunction measured by peripheral arterial tonometry predicts prognosis in patients with heart failure with preserved ejection fraction. Int J Cardiol. (2013) 168:36–40. doi: 10.1016/j.ijcard.2012.09.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: coronary MRI, endothelial function, CAD, CMR, vascular disease

Citation: Minhas AS, Goerlich E, Corretti MC, Arbab-Zadeh A, Kelle S, Leucker T, Lerman A and Hays AG (2022) Imaging Assessment of Endothelial Function: An Index of Cardiovascular Health. Front. Cardiovasc. Med. 9:778762. doi: 10.3389/fcvm.2022.778762

Received: 17 September 2021; Accepted: 28 February 2022;
Published: 15 April 2022.

Edited by:

Luis Lopes, University College London, United Kingdom

Reviewed by:

Konstantin V. Zavadovsky, Cardiology Research Institute, Tomsk National Research Medical Center (RAS), Russia
Miguel Mota Carmo, NOVA Medical School, Portugal

Copyright © 2022 Minhas, Goerlich, Corretti, Arbab-Zadeh, Kelle, Leucker, Lerman and Hays. 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: Allison G. Hays, ahays2@jhmi.edu

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