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Cardiovascular Research logoLink to Cardiovascular Research
. 2020 Apr 13;117(1):29–42. doi: 10.1093/cvr/cvaa085

Endothelial function in cardiovascular medicine: a consensus paper of the European Society of Cardiology Working Groups on Atherosclerosis and Vascular Biology, Aorta and Peripheral Vascular Diseases, Coronary Pathophysiology and Microcirculation, and Thrombosis

Yvonne Alexander 1,#, Elena Osto 2,3,#, Arno Schmidt-Trucksäss 4,#, Michael Shechter 5,6,#, Danijela Trifunovic 7,#, Dirk J Duncker 8,#, Victor Aboyans 9, Magnus Bäck 10,11, Lina Badimon 12, Francesco Cosentino 13, Marco De Carlo 14, Maria Dorobantu 15, David G Harrison 16, Tomasz J Guzik 17,18, Imo Hoefer 19, Paul D Morris 20,21, Giuseppe D Norata 22, Rosa Suades 23, Stefano Taddei 24, Gemma Vilahur 25, Johannes Waltenberger 26,27, Christian Weber 28,29,30,31, Fiona Wilkinson 32, Marie-Luce Bochaton-Piallat 33, Paul C Evans 34,35,
PMCID: PMC7797212  PMID: 32282914

Abstract

Endothelial cells (ECs) are sentinels of cardiovascular health. Their function is reduced by the presence of cardiovascular risk factors, and is regained once pathological stimuli are removed. In this European Society for Cardiology Position Paper, we describe endothelial dysfunction as a spectrum of phenotypic states and advocate further studies to determine the role of EC subtypes in cardiovascular disease. We conclude that there is no single ideal method for measurement of endothelial function. Techniques to measure coronary epicardial and micro-vascular function are well established but they are invasive, time-consuming, and expensive. Flow-mediated dilatation (FMD) of the brachial arteries provides a non-invasive alternative but is technically challenging and requires extensive training and standardization. We, therefore, propose that a consensus methodology for FMD is universally adopted to minimize technical variation between studies, and that reference FMD values are established for different populations of healthy individuals and patient groups. Newer techniques to measure endothelial function that are relatively easy to perform, such as finger plethysmography and the retinal flicker test, have the potential for increased clinical use provided a consensus is achieved on the measurement protocol used. We recommend further clinical studies to establish reference values for these techniques and to assess their ability to improve cardiovascular risk stratification. We advocate future studies to determine whether integration of endothelial function measurements with patient-specific epigenetic data and other biomarkers can enhance the stratification of patients for differential diagnosis, disease progression, and responses to therapy.

Keywords: Endothelial function, Cardiovascular


This manuscript was independently handled by Executive Deputy Editor Pasquale Maffia.

1. Defining endothelial function and dysfunction

1.1 What is endothelial dysfunction?

The vascular endothelium acts a semipermeable barrier to regulate an exchange of fluids, nutrients, and metabolites, and is critical to haemostasis and vascular health. In healthy arteries, endothelial cells (ECs) exist in a quiescent state that is maintained by laminar blood,1,2 and by circulating cytoprotective factors such as high-density lipoprotein.3 However, several stimuli including chronic disease states,4 metabolic conditions [e.g. type 2 diabetes mellitus (T2DM), obesity, dyslipidemia], smoking,5 and disturbed blood flow6–8 interrupt the quiescent phenotype and drive EC dysfunction.9,10 In 1998, Hunt and Jurd10 defined dysfunctional ECs by five key characteristic mechanisms: (i) loss of vascular integrity, (ii) increased expression of adhesion molecules, (iii) pro-thrombotic phenotype, (iv) production of cytokines, and (v) upregulation of human leucocyte antigen molecules. It is now known that EC dysfunction is not a single-pathological state but instead represents a spectrum of phenotypes associated with pathophysiologically heterogeneous alterations in vascular tone, permeability, inflammation, and de-differentiation, leading to the loss of homeostatic functions of endothelium (Figure 1). Indeed, recent single-cell RNA sequencing studies have revealed multiple distinct EC subtypes for instance with aneurysms and atherosclerosis, thus emphasizing the heterogeneity of ECs in diseased tissues.11–14 Aside from tissue-resident endothelium, EC dysfunction also involves changes in circulating endothelial colony-forming cells (ECFCs) and endothelial-derived micro-vesicles (EMVs) that have major roles in cardiovascular health and disease.

Figure 1.

Figure 1

Endothelial dysfunction describes multiple phenotypic states. Left panel: In homeostatic conditions, the healthy endothelium regulates the physiological vascular function and structure through multiple beneficial effects of nitric oxide (NO), hydrogen sulphide (H2S), and carbon monoxide (CO), as detailed in the text. Right panel: Dysfunctional endothelium is characterized by decreased production of NO and chronic increase of reactive oxygen species (ROS) able to overwhelm the intra-cellular antioxidant defence leading to onset and progression of atherosclerosis. AA, amino acids; EndMT, endothelial–mesenchymal transition; eNOS, endothelial nitric oxide synthase.

1.2 Vascular tone, nitric oxide, and superoxide anion

In physiological conditions, maintenance of appropriate endothelial function provides vasorelaxant and protective properties through release of vasoactive substances such as nitric oxide (NO), prostacyclin (PGI2), and/or endothelium-derived hyperpolarizing factor.4,9,10 For their discovery of NO as a signalling molecule in the cardiovascular system, Ferid Murad, Robert Furchgott, and Louis Ignarro earned the Nobel Prize for medicine in 1998. NO, a gaseous mediator produced by ECs, is generated from the nitrogen atom of L-arginine and O2,15 and catalysed by endothelial nitric oxide synthase (eNOS).16 While primarily defined through its regulation of vasorelaxation and vascular tone, NO exerts several atheroprotective effects including protection against oxidative stress, platelet activation and aggregation, inflammation, and smooth muscle cell (SMC) proliferation.17 However, the bioavailability of NO is reduced by numerous cardiovascular risk factors.18 eNOS dimer is the main contributor to homeostatic NO in healthy cells. In pathology, when important co-factors such as tetrahydrobiopterin (BH4) are depleted, eNOS becomes uncoupled, and its monomers contribute to reactive oxygen species (ROS) production19 which is a driver of EC dysfunction. Reduced bioavailability of NO can also be due to oxidative inactivation. Indeed, loss of BH4 is often linked to vascular oxidative stress, characteristic for all major clinical risk factors for atherosclerosis, including diabetes, hypertension, hypercholesterolaemia, and smoking.20 In human vasculature, endothelial and smooth muscle NADPH oxidases contribute to superoxide anion production.21–23 Rapid scavenging of NO by superoxide with generation of strongly prooxidant peroxynitrite (ONOO) remains the principal mechanism of endothelial dysfunction in wide range of clinical conditions. ONOO is in turn able to oxidize BH4 to BH2 contributing to eNOS uncoupling.24 In some cases, eNOS substrate L-arginine or co-factor NADPH bioavailability may be limited, or eNOS expression inhibited by epigenetic modifications, including miRNA. The relative importance of these distinct mechanisms of loss of NO bioavailability may differ in individual patients leading to the need for precision medicine approaches. These could be achieved by biomarker screening, such as plasma BH4, miRNA, L-arginine allowing for targeted approach to pathology underlying the dysfunction. Lack of bioavailability of other mediators, such as prostacyclin, can provide an important factor in the pathogenesis of vascular disease. For example, cardiovascular effects of Cox-2 inhibitors have been linked to loss of vascular PGI2 production which promoted development of endothelial dysfunction.25

1.3 Vascular permeability and inflammation

It is well recognized that pro-atherogenic stimuli and cardiovascular risk factors, including diabetes, obesity, and smoking cause functional and structural changes in the permeability properties of the endothelium. These alterations are characterized by a rise in the movement of plasma across the vessel wall and into the surrounding tissues, comprehensively reviewed elsewhere.26 Numerous studies show that endothelial permeability, inflammation, and atherosclerosis are inextricably linked. Interleukin (IL)-1β is a cytokine that is activated by the NLRP3 inflammasome, a master regulator involved in innate immunity. Thus, as a result of NLRP3 inflammasome/IL1β activation by cholesterol crystals, lipids and triglyceride-rich lipoproteins, pathogen-associated molecular patterns, and disturbed blood flow,27–34 ECs will be activated and express adhesion molecules (e.g. vascular adhesion molecule-1, inter-cellular cell adhesion molecule-1, E-selectin) to drive vascular inflammation and atherosclerosis initiation and progression. Mendelian randomization studies have now shown strong links between specific inflammatory proteins and lipid metabolism in patients with an inflammatory status, providing the impetus to develop novel systemic and vascular immunomodulatory approaches to address the public health challenge of cardiovascular disease (CVD). Thus, genetic screens linking metabolic and plasma proteomic profiles with causal effects are becoming an attractive approach in the cardiovascular precision medicine arena35,36 and may provide both novel targets and/or an improved prognostic tool for stroke, ischaemic heart disease, and T2DM.37

1.4 Phenotypic plasticity

The full details of EC plasticity are outside the scope of this ESC Position Paper but have been extensively reviewed elsewhere.38–40 It is now established that endothelial-to-mesenchymal transition (EndMT), a process characterized by loss of EC markers, gain of mesenchymal markers, activation, and delamination, is of particular relevance in atherosclerosis.40 Endothelial-lineage tracing studies from the Simons laboratory revealed that ECs activated in response to TGFβ signalling undergo EndMT leading to migration, de-differentiation, and contribution to plaque formation and progression.41 Kovacic et al.42 used endothelial-specific lineage-tracking, to show that EndMT-derived fibroblast-like cells are present in atherosclerotic lesions, and co-express endothelial and fibroblast/mesenchymal proteins, a recognized hallmark of EndMT. Further studies have revealed that EndMT is driven by disturbed flow, oxidative stress, and hypoxia42–44; all of which trigger progression of atherosclerosis. However, the contribution of EndMT-derived cells to plaque development is an area of ongoing investigation.

1.5 Organ-specific EC specialization

ECs are specialized in different vascular beds, such as the unique vasculature of the kidneys or the blood–brain barrier. Specific subtypes of ECs have also been found in adipose tissue, gut, and other tissues, and multiple distinct EC subtypes have been revealed by single-cell sequencing in aorta13 and atherosclerotic plaques.11 Unravelling the as yet unknown molecular pathways that specify and sustain each organ functional and structural diversity will set the stage for deciphering the pathogenesis of several disorders, allowing future attempts at reversal of endothelial dysfunction and improved patient outcome. At the same time, while molecular mechanisms appear to differ between different vascular beds, clinically measured vascular dysfunction can correlate between different arterial beds45 as well as between arterial and venous endothelium46 suggesting that endothelial dysfunction can be systemic.

1.6 ECFCs and EMVs

ECFCs comprise a heterogeneous population of cells that have distinct roles in angiogenesis and vascular repair. A number of reports suggest their numbers increase with disease activity in patients with vasculitis and other vascular disorders and that progenitor repair cells become exhausted in disease (Figure 2).47,48 ECFCs can be cultured from patients and analysed for pathophysiological properties and epigenetic markers and this approach has the potential to inform precision cardiovascular medicine. EMVs are extracellular vesicles of 0.2–5 μm diameter that are produced by ECs in response to a variety of stimuli.49 They can exert paracrine and autocrine actions on vascular cells with the potential to modulate key intra-cellular signalling pathways, promoting disease progression via transfer of a range of bioactive molecules (growth factors, proteases, and microRNAs) to adjacent cells (Figure 2).

Figure 2.

Figure 2

Schematic representation of the endothelial factors underlying cardiovascular risk. ECFCs, endothelial colony-forming cells; EMVs, endothelial micro-vesicles; EndMT, endothelial–mesenchymal transition; FMD, flow-mediated dilatation; HSPG, heparan sulphate proteoglycans; IL, interleukin; MØ, macrophage; MR-proADM, mid-regional pro-adrenomedullin; NO, nitric oxide; oxLDL, oxidized low-density lipoprotein; ROS, reactive oxygen species; TGFβ, transforming growth factor beta.

1.7 Summary

Although a conventional definition of endothelial dysfunction has focused on NO dysregulation and an altered redox status,50 EC dysfunction involves a range of plastic phenotypic states with inflammation and enhanced permeability. Indeed, it is clear from recent studies that ECs assume multiple diverse phenotypes associated with various disease states including hypertension, atherosclerosis, and the development of heart failure (Figure 1). This is exemplified by fate mapping and single-cell RNAseq studies that have revealed multiple EC phenotypes associated with health and disease11–14 and recent insights into the function of ECFCs and EMVs in CVD (Figure 2). Together, these findings have led to growing interest in assessing endothelial function by a range of traditional and novel methods, discussed below, to inform about individual patient risk, to guide best therapy, clinical management, and ultimately to establish whether it is feasible to target endothelial dysfunction and attenuate CVD progression.51,52 This could enhance the field in applying novel endothelial function tests and endothelial damage biomarkers to innovate a more personalized approach to cardiovascular medicine.

2. Measuring endothelial function

The ideal method to assess endothelial function should be non-invasive, easy to use, prospectively validated in different cohorts and ethnic groups, with an incremental value over standard, clinically established risk markers, cost-effective, measured according to methodological consensus and providing reference values as a basis for treatment.53,54 Both invasive and non-invasive methods to assess vascular endothelial function have their advantages and disadvantages (Table 1). The basic principle of these methods, however, is similar. Healthy arteries dilate in response to reactive hyperaemia via increased shear stress (flow-mediated vasodilatation) or in response to endothelium-dependent vasodilators, such as acetylcholine (Ach), bradykinin, or serotonin, via release endothelium-derived vasoactive substances, for example, NO.55 In disease states, this process of endothelial-dependent dilatation may be reduced or absent. It should be noted that vascular responses are not only determined by local function at the point of measurement but also by the structure and physiology of resistance arteries and micro-vasculature. Furthermore, vascular dysfunction can also be endothelium-independent function via alterations in vascular structure and SMC function rather than changes in EC. Responses to exogenous NO donors (e.g. glycerol-trinitrate) or vasodilators acting directly on vascular smooth muscle (e.g. adenosine) can be compared to differentiate endothelium-dependent from endothelium-independent responses. This section focuses on methods which are already established and which have the perspective to be implemented in clinical practice. Research methods, such as infusion of NO synthase inhibitors, such as L-NMMA, are out of the scope of this paper and will not be discussed in detail. It should be noted that our assessment of the various methods for quantifying endothelial function should not be interpreted as a recommendation of any particular product or technology manufacturer.

Table 1.

Techniques used in to assess endothelial function

Technique Vascular bed Advantages Disadvantages
Coronary epicardial function
  • Epicardial macro-vascular

  • Conduit arteries

  • Assessment directly in the coronary vascular bed

  • Gold standard

  • Invasive

  • Expensive

  • Time intensive

  • Limited to those undergoing coronary angiography

  • Impractical for serial measurements

Coronary micro-vascular function
  • Coronary micro-vascular

  • Resistance arteries

Assessment in the coronary micro-vasculature
  • Invasive

  • Expensive

  • Time intensive

  • Limited to those undergoing coronary angiography

  • Impractical for serial measurements

Venous plethysmography
  • Forearm vasculature

  • Micro-vasculature

  • Easy access

  • Correlation with invasive vascular function

  • Possibility to infuse vascular-active substances directly

  • Contralateral arm as a control

  • Invasive (cannulation of the brachial artery)

  • Time-consuming

Flow-mediated vasodilation of brachial artery
  • Brachial artery

  • Conduit artery

  • Easy access

  • Correlation with invasive epicardial vascular function

  • Many outcome studies

  • Inexpensive

  • Possibility to assess other important parameters (flow, baseline arterial diameters, flow-mediated constriction)

  • Inter- and intra-observer variability

  • Difficult to perform

  • Need for standardization

  • Different protocols

Finger plethysmography
  • Finger

  • Micro-vasculature

  • Easy to access and perform

  • Low inter- and intra-observer variability

  • Correlation with invasive micro-vascular vascular function

  • Dependent on different non-endothelial factors

  • Lack of normal/reference values and of randomized clinical trials addressing prospective validation, incremental value, and clinical outcome

  • High costs per measurement system

Retinal endothelial function Retinal arterioles
  • Easy access

  • Partial correlation with invasive vascular function

  • Sensitive to interventions

  • Inter- and intra-observer variability

  • Training needed to perform

  • Need for standardization

  • Different protocols

  • Lack of normal/reference values and of randomized clinical trials addressing prospective validation, incremental value, and clinical outcome

2.1 Coronary circulation

2.1.1 Coronary epicardial function

Coronary endothelial function is assessed by performing measurements in both epicardial and resistance vessels. Although these methods are invasive, they have the advantage of measuring EC function directly in a clinically important vascular bed. Vasomotor responses of epicardial coronary arteries are measured using quantitative coronary angiography or intra-vascular ultrasound (IVUS) to quantify changes in vessel diameters in response to endothelium-dependent pharmacological interventions. Vessels and segments with an intact endothelium vasodilate in response to Ach and other endothelial-stimulating substances, whereas vessels with dysfunctional endothelium will exhibit reduced vasodilatation or vasoconstriction due to a direct activation of muscarinic receptors on vascular SMCs.56,57 The observation that endothelial-dependent flow-mediated dilatation (FMD) of coronary epicardial vessels is impaired in atherosclerosis58,59 inspired studies of responses to flow in the peripheral vasculature later as a potential surrogate indicator of coronary artery disease (CAD) (see below). Finally, it should be mentioned that this technique should be used with caution, as serious (although rare) side effects may occur that carry risks for the patient, such as severe coronary vasoconstriction or the induction of arrhythmias.

2.1.2 Coronary micro-vascular function

Changes in coronary blood flow (CBF) have been suggested as a surrogate parameter for micro-vascular function.60 Coronary flow reserve (CFR) is defined as the ratio of maximal CBF during maximal coronary hyperaemia in response to a stimulus (such as adenosine infusion, pacing, or exercise), divided by the resting CBF. This maximal blood flow response (CFR) is both endothelium and non-endothelium dependent and a CFR <2.0 is considered abnormal.61 There are no invasive methods for measuring CBF directly in clinical practice. Instead, wire-based Doppler flow velocity or thermodilution techniques are used as surrogates but these are technically challenging and can lack reproducibility. Thus, there is a need for an accurate method for measurement of volumetric CBF. To determine endothelium-dependent micro-vascular function, the percentage increase in CBF in response to endothelial-dependent vasodilation is analysed. Non-invasive functional tests have also been developed to assess the coronary micro-vasculature, which include positron emission tomography,62 myocardial perfusion imaging,63 blood oxygen level-dependent MRI,64 and echocardiography.63

2.2 Peripheral techniques to assess endothelial function

The abovementioned invasive techniques may be suitable for patients requiring coronary angiography for other clinical indications. However, invasive functional coronary angiograms may not be indicated or feasible for assessment of vascular function in the asymptomatic patient. Because of this, non- or less-invasive surrogate techniques have been developed to quantify macro-vascular as well as micro-vascular endothelial function.65–67 While these techniques can be used to assess the general function of the vasculature, they do not provide information on local vascular dysregulation, for example, dysfunction at branch and bends exposed to disturbed shear stress.68–70

2.2.1 Plethysmography of the forearm circulation

This technique measures changes in forearm blood flow by plethysmography in both arms in response to vasoactive substances which are introduced via a cannulated brachial artery.71,72 An advantage is that responses to vasoactive hormones or drugs can be quantified therefore providing information on both endothelial-dependent and endothelial-independent vasodilation. The infused hormones and drugs have negligible systemic effects, and therefore, the contralateral limb can be used as an internal control. A disadvantage is that this technique is considered semi-invasive nature due to the reliance on arterial cannulation.

2.2.2 Flow-mediated vasodilation of brachial artery

Due to its non-invasive approach, flow-mediated vasodilatation (FMD) of the brachial artery has become the most widely used technique to evaluate endothelial function. The technique quantifies the ability of larger conduit arteries to dilate in response to reactive hyperaemia after a brief (5 min) suprasystolic occlusion of the brachial artery using a blood pressure cuff. The resultant reactive hyperaemia causes an increase in endothelial shear stress in upstream artery, which in turn stimulates release of NO. Celermajer et al.73 were the first to evaluate this response in vivo by measuring changes in the diameter of the brachial artery by ultrasound, later shown to be NO-dependent,74–76 although other vasodilator pathways may be involved.77 Of note, FMD assessment of peripheral endothelial function has been shown to correlate with coronary artery endothelial function.65,67 Although FMD may appear to be a simple technique, it is challenging and necessitates extensive training of operators and standardization.78–81 This is outlined in dedicated guidelines78,81–83 which highlight the critical importance of image acquisition and site selection, study preparation, cuff occlusion time, sphygmomanometer probe position, and application of edge-detection software. These guidelines are of critical importance, as they emphasize the need to standardize protocols and technology to improve reproducibility and data interpretation of FMD.84 The semi-automatic measurement of brachial FMD with self-adjusting ultrasound probes and automatic edge detection of the arterial wall will likely facilitate the usage in clinical practice and has already established reference values for a Japanese population.85 While FMD assesses the function of conduit arteries, the stimulus for FMD is an important parameter of peripheral micro-vascular function because reactive hyperaemia is dependent on maximal forearm resistance.86,87 Indeed, shear stress and velocity changes induced by hyperaemia have shown stronger correlations with cardiovascular risk factors than FMD88 and these parameters also predict cardiovascular outcomes.89,90 Moreover, baseline brachial artery diameter measurements per se have been shown to correlate with clinical outcomes.91,92 This finding reveals a significant limitation of the in vivo assessment of endothelium-dependent vasodilation. In contrast to the ex vivo situation, the baseline arterial tone cannot be standardized. Therefore, the amount of additional dilatation depends on the initial diameter of the vessel and could paradoxically show poor FMD in a situation of initial vasodilation due to a well-functioning endothelium (e.g. in pregnancy or in hyperthermia). These influencing factors strongly warrant a strict standardization of the measurement environment (e.g. room temperature, resting phase) and the consideration of clinical conditions that may influence baseline diameter and vasodilation.81

2.2.3 Finger plethysmography

Endothelial function measurement using peripheral arterial tonometry was first used by Bonetti et al.93,94 to identify patients with early coronary atherosclerosis. A device has been developed to quantify pulsatile arterial volume changes by finger plethysmography. Plethysmographic recordings of the finger arterial pulse wave amplitude are captured with pneumatic probes.94 In this technique, increased arterial blood volume in the fingertip leads to increased pulsatile arterial column changes, thereby increasing the measured signal. Similar to FMD, a pressure cuff is placed on the arm and used to induce reactive hyperaemia in one arm. It is notable that measurements in the contralateral arm serve as an internal control that can be used to correct for any changes in vascular tone that may occur during the test. An index between the two arms is, therefore, calculated as a marker for endothelial function. It should be noted however that pulse amplitude augmentation in response to reactive hyperaemia is a complex response because it integrates changes due to altered flow in addition to vessel dilatation and it is only partially NO-dependent.95 Further studies demonstrated that impaired digital EC function correlates with coronary micro-vascular function in patients with early atherosclerosis66 and that this parameter predicts cardiovascular events.96 In two large cross-sectional studies (>1900 patients in the Framingham cohort97,98 and >5000 individuals in the Gutenberg Heart Study99), vascular dysfunction measured by digital plethysmography was associated with multiple cardiovascular risk factors but had little or no correlation with FMD, suggesting that these measurements provide information on different aspects of vascular biology. A disadvantage of the proprietary device is the high cost per measurement system, the lack of reusability, and the limited parameters offered for further analysis. Moreover, we recognize that technologies such as finger plethysmography that rely on a small number of device manufacturers may be more vulnerable to commercial factors.

2.2.4 Retinal endothelial function

For the assessment of the retinal endothelial function, several types of provocation are possible including flicker light.100 The vessel’s reactions are at least partially dependent on NO release and partially attributed to neurovascular coupling.100,101 Solid data for patient groups are still lacking, partly due to variation in the flicker response between individuals due to variation in the baseline diameter of retinal vessels.102,103 Moreover, a consensus on the protocol used in order to achieve a better comparability of study results, is still lacking.104 These concerns should be addressed, as should the study of larger and more representative groups of individuals and patient cohorts before recommendations for wider use in clinical practice and prevention can be made. Nevertheless, flicker-induced dilatation of retinal vessels has been shown to depend on age and gender in individuals free of major risk factor burden and prevalent disease.105 It is impaired in patients with obesity,104,106 renal disease,107 and diabetes compared to age-matched healthy controls.108,109 In hypertension, flicker-induced dilation is also reduced110,111 and it is associated with an increase of inflammatory biomarkers.110 Since many of the studies of retinal flicker rely on a single commercial device, it should be noted that retinal flicker measurement may be considered less resilient from a commercial perspective than those associated with multiple industry products.

2.3 Summary

There is not an ideal method for empirical measurement of endothelial function. Techniques to measure coronary epicardial and micro-vascular function are well established but they are invasive, time-consuming, and expensive. Several techniques are available for measurement of reactive hyperaemia in peripheral arteries, which provide a less-invasive assessment of endothelial function. FMD of the brachial arteries is the most commonly used, but it is technically demanding and requires a high degree of training and experience to ensure accurate measurements, but semi-automatic, easier to use tools are approaching. Techniques, such as finger plethysmography, are easier to use; however, the utility of newer methods is restricted because of a lack of methodological consensus, lack of reference values in healthy individuals, and limited validation in large clinical trials.

3. Endothelial dysfunction and arterial disease

3.1 Arterial hypertension

Hypertensive patients have impaired endothelial-dependent vasodilatation both in coronary arteries112 and in the forearm113 (see Supplementary material online, Table S1), and data from the Framingham offspring cohort suggest that the degree of endothelial dysfunction is positively associated with the severity of hypertension.114 However, in a cohort of 3500 ethnically diverse persons from the Multi-Ethnic Study of Atherosclerosis, until now the largest clinical study in the field, impaired FMD was not a significant independent predictor of hypertension development, after adjustment for co-variables.115 A possible explanation for these seemingly disparate observations is that the interaction between EC function and hypertension may vary between populations. This underscores the importance of developing reference FMD values for different populations. It is also plausible that stratification of patients (e.g. using omics/epigenetics data or via analysis of ECFCs or EMVs) may identify sub-groups where FMD values are more accurately coupled to disease risk116 (see Section 4).

3.2 Diabetes

Diabetes is associated with a two- to four-fold increased risk of CVD, mainly attributable to hyperglycaemia, dyslipidaemia, and oxidative stress.117 Endothelium-dependent vasodilation in peripheral118 and coronary119 arteries of patients with T2DM is blunted (see Supplementary material online, Table S2), principally due to loss or reduction of NO.120 The relationship between insulin resistance and endothelial dysfunction is complex and endothelial dysfunction probably precedes the onset of T2DM. Indeed, polymorphisms of eNOS are multivariable predictors of incidence of T2DM.121 Several mechanisms of endothelial dysfunction are proposed in the setting of DM including: increased oxidative stress,122 uncoupling of eNOS,123 pro-inflammatory activation of EC,124 mitochondrial dysfunction,125 impaired endothelial repair potential,126 and increased permeability.127,128 Although the role of endothelial dysfunction in pathogenesis of micro- and macro-vascular complications is well-documented, endothelium-dependent peripheral vascular tests do not appear to improve risk stratification in patients with T2DM.129,130 However, given the range of endothelial mediators and their multiple mechanisms of action which contribute to endothelial abnormalities, FMD may not represent the most appropriate measure of the early signs of endothelial metabolic disturbances.

3.3 Coronary artery disease

Multiple studies have addressed the hypothesis that endothelial dysfunction may improve risk stratification above well-established risk scores/factors for CAD (see Supplementary material online, Table S3), thereby offering the possibility of early and personalized therapy. Consistent with this concept, peripheral macro-vascular endothelial dysfunction, estimated by FMD91,131,132 or finger plethysmography133 was demonstrated to independently predict major adverse cardiac events (MACE) in several populations at risk for CAD. Moreover, a recent systematic review and meta-analysis including 35 FMD studies and 6 peripheral arterial tonometry studies found that these tests provided a similar prognostic value in predicting cardiovascular events.134 In contrast, three large prevention trials failed to confirm the predictive value of FMD (macro-vascular endothelial dysfunction), but instead found that markers of micro-vascular endothelial dysfunction (hyperaemic velocity in FATE89 and invasive forearm technique with Ach in PIVUS135) were associated with increased MACE risk and improved risk discrimination substantially, independent of established risk scores. The reason why FMD had prognostic value in some, but not in all populations is uncertain, but could be related to differences in the age and physical activity of the populations that were studied.89,131,132,136 It is also plausible that FMD may predict cardiovascular risk in a proportion of patients but not in others. It follows that integrating FMD measurements with patient-specific genetic and epigenetic characteristics may provide a personalized approach for predicting cardiovascular risk.

3.3.1 Ischaemia and no obstructive CAD

A substantial proportion of patients, especially women with anginal symptoms and myocardial ischaemia, have an absence of flow-limiting obstruction in the epicardial arteries at coronary angiography.137,138 This syndrome has been increasingly recognized and recently termed as Ischemia and No Obstructive Coronary Artery disease (INOCA) or Angina and No Obstructive Coronary Artery (ANOCA) disease. The pathophysiology of INOCA includes dysfunctionality in coronary macro-vascular (i.e. epicardial coronary arteries) and/or micro-vascular compartment (i.e. small intramural pre-arteriolar coronary arteries). Bairey Merz et al.139 have identified a series of investigations to define INOCA including measurement of endothelial dysfunction. A panel of invasive measurements includes coronary vasomotor testing with intra-coronary adenosine (to measure CFR that estimates endothelium-independent micro-vascular function), Ach (to measure endothelium-dependent coronary vasoreactivity) and nitroglycerin (to measure endothelium-independent macro-vascular function; see Supplementary material online, Table S4). Coronary endothelial dysfunction is defined as micro-vascular, if the change in CBF in response to Ach is <50%, and macro-vascular in case of Ach-induced epicardial vasoconstriction.140 The results of such testing should help to guide therapy in individual patients, for example, to determine whether micro-vascular endothelial dysfunction is involved.

3.3.2 Chronic coronary syndromes and progression to plaque instability

Coronary macro- and micro-vascular endothelial dysfunction can predict acute vascular events independently of conventional CAD risk factors and angiographically proven coronary atherosclerosis. For example, although patients with high-risk coronary anatomy (left main stenosis and three vessels with CAD) were excluded,141 the detection of micro-vascular endothelial dysfunction was associated with a 2.4-fold increase in event rates, while the detection of epicardial endothelial dysfunction was associated with a 1.4-fold elevation of event rates (independently from other risk factors and presence of CAD). These associations point to the importance of coronary endothelial dysfunction for the transition from a stable to unstable form of atherosclerotic disease. Furthermore, peripheral endothelial dysfunction (brachial plethysmography) distinguished subjects at a higher risk for cardiac and total vascular events in populations with documented CAD, highlighting the importance of systemic endothelial changes in plaque progression.142 Atherosclerosis is a focal disease143 and it is therefore noteworthy that coronary segments with a higher degree of endothelial dysfunction are associated with more vulnerable plaque containing a necrotic core (evaluated by IVUS70) suggesting that localized EC dysfunction may predict focal progression into culprit lesions and acute coronary syndromes.

3.3.3 Acute coronary syndromes (STEMI, NSTEMI, and MINOCA)

The pathophysiological mechanism underlying type 2 myocardial infarction (MI) is an acute mismatch between oxygen supply and demand, leading to acute ischaemic myocardial injury.144 Mechanisms include coronary artery spasm and/or coronary micro-vascular dysfunction.144 During the course of atherosclerosis, local inflammation and oxidative stress affect endothelial function and promote plaque vulnerability, with consequent platelet adhesion, vasospasm, stasis, and coronary thrombosis, leading to acute coronary syndrome.145 Importantly, endothelial dysfunction is present not only at the site of the culprit lesion but also in distant, non-culprit coronary arteries, even with normal angiographic appearance.146 Aggravation also occurs in peripheral endothelial dysfunction after acute coronary syndrome and its normalization predicts a lower risk of future events.147 Relatively few studies have correlated endothelial dysfunction with MI with Non-Obstructive Coronary Arteries (MINOCA) which arises, due to either atherosclerotic plaque disruption and coronary thrombosis (i.e. type 1 MI), or coronary vasospasm (i.e. type 2 MI), along with other possible causes. In the Stockholm Myocardial Infarction with Normal Coronaries (SMINC) study, peripheral micro-vascular endothelial function was normal in MINOCA patients compared to controls.148 Overall, although micro-vascular dysfunction is presumed to be a causal component in ACS, both in type 1 and even more frequently in type 2 MI, there are uncertainties whether it is a contributor or a biomarker of disease risk.

3.4 Summary

There is a wealth of evidence that endothelial dysfunction is a key player in the initiation of atherosclerosis and plaque progression. Endothelial dysfunction in coronary macro- or micro-vascular compartments may predict and/or drive disease progression into culprit lesions, acute coronary syndromes, and INOCA. Consistent with this, endothelial dysfunction has been demonstrated in asymptomatic individuals with risk factors for atherosclerosis (i.e. before clinical manifestation of the diseases) and, large clinical trials demonstrated that micro-vascular endothelial dysfunction can independently predict MACE in populations at risk for CAD. However, there are several examples in the literature where the correlation between EC dysfunction and disease risk varies considerably between studies. This can be partly attributed to technical considerations, thereby underlying the importance of methodological consistency, but may also be related to biological factors that vary between individuals and/or between populations therefore requiring a precision medicine approach.

4. Endothelial function in precision medicine

4.1 Can endothelial function measurements be used to stratify patients for therapy?

Results from most clinical trials have documented that despite the successful control of cardiovascular risk factors achieved with cardiovascular drugs, the impact on cardiovascular morbidity and mortality reduction is limited (∼20–45%). Consequently, tools that might enable identification of those patients who develop future events, despite optimal treatment are urgently needed. Several findings support the possibility that endothelial function could be used to identify patients that remain at high cardiovascular risk. For example, among 251 Japanese men with newly diagnosed stable CAD and concurrent impaired brachial artery FMD, those whose endothelial function did not improve after 6 months of optimized pharmacological treatment showed a significant higher event rate of cardiovascular events (26%) in the 31 months follow-up compared to those with improved endothelial function (10%).149 On the other hand, EC function can also identify patients with favourable responses to lifestyle changes, such as increased exercise, or pharmacological interventions. For example, moderate aerobic physical exercise can improve endothelium-dependent vasodilation, not only in healthy middle-aged men150 but also in patients with arterial hypertension,151 CAD,152 and chronic heart failure.153 Endothelial function has also been improved by weight reduction either by diet154,155 or bariatric surgery,156 dietary interventions with foods rich in polyphenols (fruits, green tea, and cocoa)157,158 as well as smoking cessation.159 Beyond lifestyle interventions, the first finding that EC function measurements can be used to monitor pharmacological responses was obtained from controlled studies with statins.160,161 The mechanism is likely related to the documented anti-inflammatory and antioxidant properties of statins that result in improved availability of vascular NO.162 Endothelial function can also be used to monitor responses to other drugs with an effect on cardiovascular risk factors163 and some diabetes modulating drugs such as metformin164 or glitazones.164–166

4.2 Integrating endothelial functional measurements with biomarkers of vascular function

Genetic and epigenetic differences contribute to variation in endothelial function both in healthy individuals and in patients with CVD. Therefore, the ability to delineate patients at high cardiovascular risk and identify responders and non-responders to therapy can potentially be enhanced by integrating endothelial function measurements with genomic and epigenomic datasets. Non-coding RNAs are epigenetic markers of potential clinical use due to their high plasma stability and advances in experimental techniques used in their assessment. For example, the detection of specific circular RNAs and microRNAs in plasma has been linked to CAD and ACS167 and Sapp et al.168 found that alterations in miR-126-5p correlated with endothelial function in response to exercise in healthy individuals. There may also be value in quantitation of classical markers such as sICAM, sVCAM, IL-6, IL-8, IL-12, hsCRP, and NO for integration with endothelial function assessment. There is also considerable interest in using circulating EMVs and ECFCs as a surrogate of endothelial health.169 For example, anti-inflammatory treatment of patients with systemic lupus erythematosus simultaneously improved endothelial function and reduced EMV levels170 suggesting that EMV levels may report on vascular function. Of particular note, a recent study from Zacharia et al.171 found that endothelial function correlated with circulating micro-vesicles in patients with ACS. Moreover, studies of circulating ECFCs revealed that they correlate with enhanced micro-vascular function and repair in patients with acute MI.172,173 These tools will significantly contribute to the field of precision medicine and identify patients at high risk of developing both micro- and macro-vascular complications.174

4.3 Summary

Measurement of endothelial function can be used to monitor responses to lifestyle changes and pharmacological intervention, and can identify patients that remain at residual risk despite optimal therapy. The prognostic value of endothelial function measurement may be enhanced by integration with patient-specific information from omics and epigenetic studies and/or from analysis of the physiology of EMVs and ECFCs. These data may be combined through an algorithm that will enhance risk stratification and improve patient management.175,176

Supplementary material

Supplementary material is available at Cardiovascular Research online.

Consensus statements

  1. Endothelial dysfunction does not describe a single endothelial phenotype but is characterized by a spectrum of phenotypic states, exemplified by multiple EC subsets and plasticity in atherosclerosis. The vascular biology community should delineate the contribution of various EC dysfunctional states to CVD and develop new technologies to measure pathogenic EC subsets in the clinic.

  2. FMD of the brachial arteries, the most commonly used measure of endothelial function, predicted cardiovascular risk in some large clinical trials but not others. Thus, we recommend that a consensus, semi-automated methodology is adopted in future studies to minimize technical variation, and that reference FMD values are established for different populations.

  3. Newer techniques to measure endothelial dysfunction that are relatively easy to perform, such as finger plethysmography and the retinal flicker test, have the potential for increased clinical use provided a consensus is achieved on the measurement protocol used. In addition, larger clinical studies are needed to establish reference values and to assess their clinical utility.

  4. Future work should determine whether the prognostic value of endothelial function measurement can be enhanced by integration with patient-specific information from omics and epigenetic studies and/or from analysis of patient-derived EMVs and ECFCs.

Writing Process

This Position Paper was written by the following ESC Working Groups: Atherosclerosis and Vascular Biology, Aorta and Peripheral Vascular Diseases, Coronary Pathophysiology and Microcirculation, and Thrombosis. This topic was discussed at an ESC-sponsored session entitled ‘Endothelial Cell Dysfunction’ held at the European Vascular Biology Organisation meeting in 2016 (Maastricht, The Netherlands) which was Chaired by Prof. Paul Evans (Sheffield, UK) and Prof. Marie-Luce Bochaton-Piallat (Geneva, Switzerland). This session included talks from Prof. Arno Schmidt-Trucksäss (Basel, Switzerland), Dr Rosa Suades Soler (Karolinska Institutet, Sweden), Prof. Danijela Trifunovic (Belgrade, Serbia), Prof.Michael Shechter (Tel Aviv, Israel), Dr Elena Osto (Zürich, Switzerland) and Prof. Yvonne Alexander (Manchester, UK). It was followed by a writing meeting attended by the Chairs, speakers and Prof Dirk Duncker (Rotterdam, The Netherlands). Other worldwide experts in the field of endothelial function testing were subsequently recruited to the writing process.

Supplementary Material

cvaa085_Supplementary_Tables_1-4

Acknowledgements

We thank Anne Jomard, MSc, from the Institute of Clinical Chemistry, University and University Hospital Zurich, Switzerland for excellent support with text and image editing.

Conflict of interest: V.A. has received funding from Amgen, Bayer, Sanofi, Novartis, NovoNordisk, BMS, and Pfizer. M.S. is a member of the Scientific Advisory Board, Itamar Medical Inc., Israel. The other authors have no conflict of interest to declare.

Funding

This work was supported by grants from the Swedish Heart and Lung Foundation (Grant No. 20180571) awarded to M.B.; the Spanish Ministry of Economy, Competitiveness and Science -SAF2016-76819-R and Carlos III Institute of Health grants TERCEL—RD16/0011/0018 and CIBERCV awarded to L.B.; the Swiss National Science Foundation (Grant No. 310030_185370/1) awarded to M.-L.B.-P.; the Swedish Research Council (VR 2016-02706) Swedish Heart and Lung Foundation (20170717) and Konung Gustav: Vs och Drottning Victorias Frimurarestiftelse awarded to F.C.; a grant from The Netherlands Cardiovascular Research Initiative (CVON2014-11), an initiative with financial support from the Dutch Heart Foundation awarded to D.J.D.; grants from the British Heart Foundation awarded to P.C.E. and P.D.M.; a Wellcome Trust Clinical Research Career Development Fellowship to P.D.M. (214567/Z/18/Z); grants from National Institutes of Health Grants R35 HL140016 and Program Project Grant P01 HL129941 awarded to D.G.H.; grants from Fondazione Cariplo 2016-0852, Italian Ministry of Education, University and Research PRIN 2017K55HLC, European Foundation for the Study of Diabetes (EFSD) and Fondazione Telethon GGP19146 awarded to G.D.N.; grants from the Swiss National Science Foundation Prima and Sinergia Grant (PR00P3_179861/1 and CRSII5_180317/1), the Swiss Card-Onco-Grant—Alfred and Annemarie von Sick Grant, the Hartmann Müller—Foundation and Jubilaeumsstiftung von SwissLife awarded to E.O.; a grant from the European Society of Cardiology Research Grant awarded to R.S.; a grant (PGC2018-094025-B-I00) from the Spanish Ministry of Science and Innovation and funds FEDER ‘Una Manera de Hacer Europa’ awarded to G.V.; grants from Deutsche Forschungsgemeinschaft (DFG), SFB1123-A1/10/B4 and Excellence Cluster SyNergy; and by the European Research Council (ERC AdG No. 692511 awarded to C.W. and ERC CoG No. 726318-InflammaTENSION awarded to T.J.G.) and ERA-Net-CVD (PLAQUEFIGHT) 01KL1808 awarded to T.J.G.

Contributor Information

Yvonne Alexander, Centre for Bioscience, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.

Elena Osto, Institute of Clinical Chemistry, University and University Hospital Zurich, University Heart Center, Zurich, Switzerland; Laboratory of Translational Nutrition Biology, Swiss Federal Institute of Technology, Zurich, Switzerland.

Arno Schmidt-Trucksäss, Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, Medical Faculty, University of Basel, Basel, Switzerland.

Michael Shechter, Leviev Heart Center, Chaim Sheba Medical Center, Tel Hashomer, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Danijela Trifunovic, Cardiology Department, Clinical Centre of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

Dirk J Duncker, Division of Experimental Cardiology, Department of Cardiology, Thoraxcenter, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Victor Aboyans, Department of Cardiology, Dupuytren University Hospital, Inserm U-1094, Limoges University, Limoges, France.

Magnus Bäck, Department of Cardiology, Center for Molecular Medicine, Karolinska University Hospital, Solna, Stockholm, Sweden; INSERM U1116, Université de Lorraine, Centre Hospitalier Régional Universitaire de Nancy, Vandoeuvre les Nancy, France.

Lina Badimon, Cardiovascular Program-ICCC, IR-Hospital de la Santa Creu i Sant Pau, CiberCV, Autonomous University of Barcelona, Barcelona, Spain.

Francesco Cosentino, Unit of Cardiology, Karolinska Institute and Karolinska University Hospital, Solna, Stockholm, Sweden.

Marco De Carlo, Catheterization Laboratory, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Maria Dorobantu, ‘CarolDavila’ University of Medicine and Pharmacy, Bucharest, Romania.

David G Harrison, Vanderbilt University School of Medicine, Nashville, TN, USA.

Tomasz J Guzik, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK; Department of Medicine, Jagiellonian University Collegium Medicum, Cracow, Poland.

Imo Hoefer, Laboratory of Clinical Chemistry and Hematology, University Medical Centre Utrecht, The Netherlands.

Paul D Morris, Department of Infection, Immunity and Cardiovascular Disease, Bateson Centre & INSIGNEO Institute, University of Sheffield, Sheffield S10 2RX, UK; Insigneo Institute for In Silico Medicine, Sheffield, UK.

Giuseppe D Norata, Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.

Rosa Suades, Unit of Cardiology, Karolinska Institute and Karolinska University Hospital, Solna, Stockholm, Sweden.

Stefano Taddei, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Gemma Vilahur, Cardiovascular Program-ICCC, IR-Hospital de la Santa Creu i Sant Pau, CiberCV, Autonomous University of Barcelona, Barcelona, Spain.

Johannes Waltenberger, Department of Cardiovascular Medicine, Medical Faculty, University of Münster, Münster, Germany; SRH Central Hospital Suhl, Suhl, Germany.

Christian Weber, Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximillian-Universität (LMU) München, Munich, Germany; German Center for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany; Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands.

Fiona Wilkinson, Centre for Bioscience, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, UK.

Marie-Luce Bochaton-Piallat, Department of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Paul C Evans, Department of Infection, Immunity and Cardiovascular Disease, Bateson Centre & INSIGNEO Institute, University of Sheffield, Sheffield S10 2RX, UK; Insigneo Institute for In Silico Medicine, Sheffield, UK.

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