| Literature DB >> 31972008 |
Thomas J Ford1,2,3, David Corcoran1,4, Sandosh Padmanabhan1, Alisha Aman1, Paul Rocchiccioli1,4, Richard Good1,4, Margaret McEntegart1,4, Janet J Maguire5, Stuart Watkins4, Hany Eteiba4, Aadil Shaukat4, Mitchell Lindsay4, Keith Robertson4, Stuart Hood4, Ross McGeoch6, Robert McDade4, Eric Yii1, Naveed Sattar1, Li-Yueh Hsu6, Andrew E Arai6, Keith G Oldroyd1,4, Rhian M Touyz1, Anthony P Davenport5, Colin Berry1,4.
Abstract
AIMS: Endothelin-1 (ET-1) is a potent vasoconstrictor peptide linked to vascular diseases through a common intronic gene enhancer [(rs9349379-G allele), chromosome 6 (PHACTR1/EDN1)]. We performed a multimodality investigation into the role of ET-1 and this gene variant in the pathogenesis of coronary microvascular dysfunction (CMD) in patients with symptoms and/or signs of ischaemia but no obstructive coronary artery disease (CAD). METHODS ANDEntities:
Keywords: Coronary microvascular dysfunction; Endothelin-1; Microvascular angina; Precision medicine; Single-nucleotide polymorphism; Stable angina pectoris
Mesh:
Substances:
Year: 2020 PMID: 31972008 PMCID: PMC7557475 DOI: 10.1093/eurheartj/ehz915
Source DB: PubMed Journal: Eur Heart J ISSN: 0195-668X Impact factor: 35.855
Baseline demographics by genotype
| SNP (rs9349379) genotype ( |
| |||
|---|---|---|---|---|
| AA ( | AG ( | GG ( | ||
| Clinical features | ||||
| Age (years) | 60.6 (±11) | 61.1 (±10) | 61.6 (±10) | 0.649 |
| Female | 36 (72%) | 36 (71%) | 31 (80%) | 0.607 |
| ASSIGN score | 24 (±21) | 27 (±23) | 25 (±19) | 0.811 |
| Dyslipidaemia | 12 (24%) | 10 (20%) | 8 (21%) | 0.671 |
| Hypertension | 30 (60%) | 32 (63%) | 27 (69%) | 0.382 |
| Previous cardiovascular event | 10 (20%) | 10 (20%) | 13 (33%) | 0.239 |
| Diabetic | 9 (18%) | 11 (22%) | 6 (15%) | 0.794 |
| Smoker | 6 (12%) | 8 (16%) | 9 (23%) | 0.169 |
| Family history | 17 (34%) | 13 (26%) | 13 (33%) | 0.886 |
| Peripheral vascular disease | 2 (4%) | 3 (6%) | 2 (5%) | 0.789 |
| Atrial fibrillation | 5 (10%) | 4 (8%) | 1 (3%) | 0.195 |
| Pulse (rate/min) | 69 (±11) | 67 (±11) | 71 (±11) | 0.697 |
| Systolic blood pressure (mmHg) | 138 (±22) | 136 (±31) | 138 (±25) | 0.951 |
| Diastolic blood pressure (mmHg) | 73 (±11) | 74 (±15) | 70 (±12) | 0.260 |
| Body mass index (kg/m2) | 30.4 (±8) | 30.4 (±6) | 29.4 (±7) | 0.515 |
| Laboratory investigations | ||||
| Cholesterol (mmol/L) | 3.5 (±1) | 3.5 (±1) | 3.6 (±1) | 0.904 |
| Glucose (mmol/L) | 4.6 (±1) | 5.0 (±2) | 4.7 (±2) | 0.774 |
| C-reactive protein (mg/L) | 3.2 (±5) | 3.2 (±5) | 3.1 (±4) | 0.920 |
| N-terminal brain natriuretic peptide (pg/mL) | 140 (±187) | 157 (±197) | 135 (±153) | 0.937 |
| Endothelin-1 (pg/mL) | 1.27 (0.42) | 1.41 (0.63) | 1.46 (0.56) | 0.097 |
Data are expressed as mean (standard deviation) or number (%).
ACE-I, angiotensin converting enzyme inhibitor; ACh, acetylcholine; BMI, body mass index; CCB, calcium channel blocker; CFR, coronary flow reserve; FFR, fractional flow reserve; IMR, index of microcirculatory resistance; LVEDP, left ventricular end-diastolic pressure; MI, myocardial infarction.
P-value represents between group ANOVA for linear trend (continuous data) or Pearson χ2 test for linear trend (categorical data) or Kruskal–Wallis testing probability that the distribution of non-parametric variables are the same across the groups.
ASSIGN risk—predicted 10-year risk of cardiovascular event.
Previous myocardial infarction or cerebrovascular event (including transient ischaemic attack).
Endothelin-1 levels were available in 137 genotyped subjects with significance determined using one-way ANOVA (linear trend).
Invasive coronary physiology and non-invasive stress testing
| SNP (rs9349379) genotype |
| |||
|---|---|---|---|---|
| AA ( | AG ( | GG ( | ||
| Minor non-obstructive CAD | 25 (50%) | 30 (59%) | 24 (62%) | 0.265 |
| Coronary atheroma burden (Gensini score) | 0 (0.2) | 2 (0.5) | 1 (0.6) | 0.037 |
| Left ventricular end-diastolic pressure (mmHg) | 10 (±4) | 10 (±5) | 9 (±3) | 0.520 |
| Fractional flow reserve (FFR) | 0.88 (0.05) | 0.88 (0.06) | 0.88 (0.05) | 0.977 |
| Coronary microvascular dysfunction (any) | 30 (60%) | 38 (75%) | 32 (82%) | 0.021 |
| Abnormal CFR (<2.0) | 10 (20%) | 18 (36%) | 16 (41%) | 0.030 |
| Coronary flow reserve (CFR) | 3.0 (2.1–3.7) | 2.7 (1.8–3.5) | 2.1 (1.7–3.2) | 0.046 |
| Abnormal IMR (≥25) | 12 (24%) | 17 (33%) | 18 (46%) | 0.029 |
| Microcirculatory resistance (IMR) | 18.9 (15.2–24.2) | 18.6 (14.2–29.3) | 22.1 (13.8–29.3) | 0.879 |
| Abnormal CFR or IMR | 20 (40%) | 26 (51%) | 27 (69%) | 0.007 |
| Microvascular spasm (during acetylcholine) | 15 (30%) | 21 (42%) | 12 (31%) | 0.385 |
| Exercise treadmill testing ( | 28 (56%) | 34 (67%) | 25 (64%) | |
| Duration (s) | 393 (±124) | 352 (±157) | 384 (±162) | 0.827 |
| METs | 7.8 (±2.1) | 7.4 (±2.6) | 7.6 (±2.1) | 0.786 |
| Angina on treadmill | 16 (59%) | 23 (68%) | 20 (87%) | 0.036 |
| Peak systolic blood pressure (mmHg) | 178 (±30) | 173 (±34) | 182 (±25) | 0.688 |
| Duke Treadmill Score | −0.3 (±6.0) | −0.6 (±4.7) | −3.3 (±4.2) | 0.045 |
| Stress perfusion magnetic resonance imaging ( | ||||
| Inducible myocardial perfusion defect | 11 (31%) | 17 (43%) | 18 (56%) | 0.042 |
| Inducible myocardial perfusion defect with CMD | 4 (13%) | 14 (37%) | 15 (47%) | 0.016 |
| Myocardial perfusion reserve (global) | 1.8 (±0.4) | 1.7 (±0.4) | 1.6 (±0.4) | 0.154 |
| Myocardial perfusion reserve (endocardium) | 1.7 (±0.4) | 1.6 (±0.4) | 1.5 (±0.4) | 0.162 |
| Left ventricular end diastolic volume (indexed, mL/m2) | 68.5 (±13.6) | 70.1 (±13.2) | 70.2 (±11.9) | 0.591 |
| Left ventricular end systolic volume (indexed, mL/m2) | 23.4 (±6.0) | 25.4 (±8.8) | 23.1 (±5.8) | 0.848 |
| Left ventricular ejection fraction (%) | 65.9 (±4.4) | 64.5 (±6.5) | 67.3 (±5.2) | 0.321 |
| Stroke volume (indexed, mL/m2) | 45.0 (±8.8) | 44.7 (±7.0) | 47.1 (±8.2) | 0.298 |
| Left ventricular mass (indexed, mL/m2) | 42.0 (±7.0) | 42.3 (±8.1) | 42.1 (±7.8) | 0.924 |
Data are expressed as mean (±SD), median (IQR), or N (%).
CAD, coronary artery disease; CFR, coronary flow reserve; FFR, fractional flow reserve; LVEDP, left ventricular end-diastolic pressure; IMR, index of microcirculatory resistance; METS, metabolic equivalent of task.
P-value represents between group ANOVA for linear trend (continuous data) or Pearson χ2 test for linear trend (categorical data), Kruskal–Wallis test of probability that the distribution of non-parametric variables are the same across the groups.
Core-laboratory adjudication of any angiographic evidence of coronary atherosclerosis including any minimal angiographic luminal irregularity.
Gensini angiographic score is a metric of angiographic disease severity incorporating lesion severity and location. Detailed MRI methodology available in Supplementary material online, Appendix.
Pathophysiology: vascular biology of ET-1
| SNP (rs9349379) genotype ( |
| |||
|---|---|---|---|---|
| AA ( | AG ( | GG ( | ||
| Vessel diameter (um) | 344 (±88) | 342 (±89) | 347 (±125) | 0.851 |
| Vessel length (mm) | 1.85 (±0.12) | 1.87 (±0.10) | 1.82 (±0.11) | 0.276 |
| ACh | 77.7 (52.9–97.8) | 80.2 (59.9–97.6) | 92.5 (57.8–99.1) | 0.696 |
| ACh pEC50 | 7.28 (6.88–7.82) | 7.26 (6.82–8.00) | 6.96 (6.84–7.44) | 0.308 |
| ET-1 | 122.3 (115.7–134.7) | 115.5 (107.5–125.2) | 129.7 (115.8–151.2) | 0.533 |
| ET-1 pEC50 | 9.34 (9.15–9.52) | 9.45 (9.24–9.67) | 9.32 (8.96–9.69) | 0.533 |
| BQ123 pKB (±SEM) | 7.07 (±0.23) | 7.79 (±0.35) | 7.41 (±0.26) | 0.209 |
Forty-four (65%) of 68 patients who underwent invasive biopsies had a sufficient number of small arteries to undergo paired cumulative concentration response curves (CCRCs) to ET-1 in the presence and absence of an ETA receptor antagonist. Data are expressed as mean (±SD) or mean (95% CI for pooled best fit CCRC). CCRC, cumulative concentration response curves were drawn with best-fit derived values. pKB data involved paired vessels undergoing ET-1 CCRC in the presence or absence of BQ123 ETA receptor antagonist (available in 37 out of the 44 subjects: AA N = 14; AG N = 10; GG N = 13).
Significance determined using ANOVA for normally distributed means, Kruskal–Wallis test used for between group comparison of non-parametric variables and extra-sum of squares F test (for CCRC pooled best fit ET-1 data). There were no differences in between group baseline demographics in this vascular sub-study.