Abstract
We sought to investigate the association of single nucleotide polymorphisms (SNPs) of the genes involved in βAR signaling with the response of patients to βAR blockers. A total of 2403 hospitalized patients with chronic heart failure (HF) were enrolled in a multicenter observational study as the first cohort and followed up for a mean period of 20 months. Genes for β1AR, β2AR, and the major cardiac G-protein-coupled receptor kinases (GRKs) GRK2 and GRK5 were analyzed to identify SNPs, and patients were stratified according to genotypes. A second independent cohort enrolling 919 patients with chronic HF was applied to validate the observed associations. The signaling properties of the key identified SNPs were assessed in vitro. Our data showed that HF patients harboring the Gly16 allele in the gene for β2AR (ADRB2) had an increased risk of the composite end point relative to patients who were homozygous for Arg16. Notably, these patients showed a beneficial response to βAR-blocker treatment in a G allele-dose-dependent manner, whereas Arg16 homozygotes had no response to βAR-blocker therapy. This Arg16Gly genotype-dependent heterogeneity in clinical outcomes of HF was successfully validated in the second independent population. Besides, the in vitro experiments revealed that G allele carriers were defective in β2AR-coupled inhibitory adenylate cyclase g (Gi) protein signaling.
Introduction
There is currently a global epidemic of heart failure (HF), with over 915,000 newly diagnosed patients with HF each year in the United States1. This complex syndrome is characterized by an interplay among genetic, neurohormonal, inflammatory, and metabolic factors2,3. HF therapy has been improved greatly over the past two decades, particularly with the use of angiotensin-converting enzyme inhibitors and β1-adrenergic receptor (β1AR) antagonists, which inhibit pathological remodeling and apoptosis of cardiomyocytes4,5. The current American College of Cardiology (ACC)/American Heart Association (AHA) guidelines recommend nondiscriminatory prescription of β-blockers to all stable HF with reduced ejection fraction (HFrEF), except for patients with comorbid contradictory conditions or who are unable to tolerate treatment with these drugs6. However, a substantial proportion of HF patients receive little or no benefit from the available therapeutics—often specifically owing to a lack of response to β-blockers7–10—and 5-year mortality is still >50%1. Changing official guidelines to include recommendations for patient stratification in the management of HF may open new avenues for the development of more effective and personalized therapies. For instance, new ways of identifying poor βAR-blocker responders before commencing treatment may revolutionize clinical practice and improve health management of HF patients.
During the progression of HF, the sympathetic nervous system becomes hyperactive. The resultant increase in β-AR stimulation to cardiomyocytes initially produces a positive inotropic effect, primarily via the activation of the β1AR-stimulating adenylate cyclase g (Gs) protein –adenylyl cyclase–cyclic adenosine monophosphate (cAMP)–protein kinase A signaling cascade11. However, persistent β1AR stimulation triggers apoptosis of cardiomyocytes and leads to hypertrophy, fibrosis and maladaptive remodeling of the diseased hearts, via mechanisms that depend on calcium/calmodulin-dependent kinase type II (CaMKII), but not on protein kinase A12,13.
β1AR is the predominant βAR subtype in the heart and the major mediator of the positive inotropic action of catecholamines under physiological conditions. During HF, however, β1AR is markedly desensitized and its expression is selectively downregulated. Consequently, the β1AR:β2AR ratio decreases from 4:1 in the normal heart to 3:2 in the failing heart, making the role of the β2AR subtype more important in the failing heart14. In contrast to β1AR that couples only to Gs proteins, β2AR couples to both Gs and inhibitory adenylate cyclase g (Gi) proteins15. β2AR, therefore, has a distinct role in the heart. This becomes especially relevant under the pathological conditions of HF in which the expression of Gi proteins is elevated in the absence of alteration in the expression of Gs proteins16,17. Specifically, β2AR-Gs mediated contractile support in failing heart while the activation of β2AR-coupled Gi signaling protects the heart against various insults-induced loss of cardiomyocytes via the Gi–Gβγ–phosphatidylinositol 3-kinase (PI3K)–AKT cell survival pathway18,19.
It is unclear how genetic factors contribute to β2AR signaling pathway and/or the differences in response to β-blockers in HF patients. To address this important question, we genotyped key genes involved in the βAR signaling pathway—ADRB1, ADRB2, GRK2, and GRK5—in blood samples from patients with HF and healthy control individuals. We then assessed the relationship between the identified gene variants and the prognosis of HF in a large cohort of patients with or without β-blocker treatment. In vitro experiments were designed to assess the signaling properties of the key identified variants.
Results
Resequencing data
By resequencing ADRB1, ADRB2, GRK2, and GRK5 genes in blood samples from 100 pairs of patients with HF and healthy individuals, five missense variants—ADRB1 Arg389Gly C > G, ADRB2 Arg16Gly A > G, ADRB2 Gln27Glu C > G, GRK5 Gln41Leu A > T, and GRK5 Arg304His G > A—and six synonymous variants were detected in the candidate genes (Supplementary Table S1); none of these single nucleotide polymorphism (SNPs) were located within GRK2. For all 11 SNPs identified, the minor allele frequency did not differ significantly between the HF and control groups, suggesting that the polymorphisms were not associated with the risk of HF.
Patients and follow-up
A total of 2615 HF patients were recruited between 1 January 2009 and 31 October 2014 in the first cohort. Of the patients recruited, 212 were excluded from enrollment owing to repeat admittance (for 149 patients; 5.7% of all recruited) or valvular heart disease (in 63 patients; 2.4% of all recruited). Accordingly, 2403 patients were genotyped (Fig. 1). Among the overall study population (mean age 59.3 ± 14.5 years, 66.6% male), 56.6% had severe cardiac symptoms (New York Heart Association, (NYHA) class III or IV); 87.5% had a history of hypertension; 24.8% had a history of hyperlipidemia; and 31.8% had diabetes (Table 1). When study participants were stratified by genotype of the ADRB2 Arg16Gly A > G locus (AA, AG, and GG), baseline characteristics did not differ significantly among the three groups (Table 1), except for hypertension, which was slightly less prevalent among patients with the AA genotype (84.4% for AA genotype group, 89.6% for the AG genotype group, and 89.1% for the GG genotype group; P < 0.001).
Table 1.
Characteristics | All patients | Patients with AA genotype | Patients with AG genotype | Patients with GG genotype | P valuea |
---|---|---|---|---|---|
(N = 2403) | (N = 923) | (N = 1122) | (N = 358) | ||
Age (years) | 59.3 ± 14.5 | 58.7 ± 14.5 | 59.0 ± 14.6 | 59.8 ± 14.5 | 0.208 |
Male sexb | 1601 (66.6) | 616 (66.7) | 752 (67.0) | 233 (65.1) | 0.791 |
Ischemic etiologyb | 1137 (47.3) | 450 (48.8) | 525 (46.8) | 162 (45.3) | 0.343 |
NYHA functional classb | |||||
II | 1042 (43.4) | 417 (45.2) | 479 (42.7) | 146 (40.8) | |
III | 812 (33.8) | 316 (34.2) | 379 (33.8) | 117 (32.7) | 0.201 |
IV | 549 (22.8) | 190 (20.6) | 264 (23.5) | 95 (26.5) | |
Personal historyb | |||||
Smoking | 937 (39.0) | 365 (39.5) | 436 (38.9) | 136 (38.0) | 0.87 |
Hypertension | 2103 (87.5) | 779 (84.4) | 1005 (89.6) | 309 (89.1) | <0.001 |
Hyperlipidemia | 597 (24.8) | 241 (26.1) | 265 (23.6) | 91 (25.4) | 0.415 |
Diabetes | 765 (31.8) | 290 (31.4) | 353 (31.5) | 122 (34.1) | 0.614 |
Stroke | 246 (10.2) | 102 (11.1) | 113 (10.1) | 31 (8.7) | 0.434 |
Clinical testing | |||||
Systolic pressure (mm Hg) | 131.2 ± 25.2 | 131.8 ± 25.2 | 129.0 ± 24.2 | 131.3 ± 25.5 | 0.243 |
Diastolic pressure (mm Hg) | 80.3 ± 16.2 | 80.7 ± 16.8 | 78.6 ± 14.4 | 80.5 ± 16.2 | 0.1 |
Heart rate (beats/min) | 83.2 ± 20.2 | 82.7 ± 20.0 | 83.5 ± 20.0 | 83.6 ± 20.4 | 0.573 |
Serum creatinine (µmol/l)c | 84 (67–106) | 82 (66–105) | 84 (69–107) | 84 (66–107) | 0.232 |
NT-proBNP (pg/ml)c | 1857(424–5652) | 1859 (514–5013) | 1774 (405–5706) | 2131 (351–6962) | 0.435 |
LVEDD (mm)c | 55 (48–64) | 54 (47–63) | 55 (48–64) | 56 (47–64) | 0.152 |
LAD (mm)c | 40 (35–45) | 39 (34–45) | 40 (35–45) | 40 (36–46) | 0.2 |
Ejection fraction (%)c | 47 (33–61) | 48 (33–62) | 47 (32–60) | 44 (32–61) | 0.334 |
Medication (%) | |||||
Digoxin | 563 (23.6) | 214 (23.3) | 274 (24.6) | 75 (21.1) | 0.382 |
Diuretics | 1104 (46.3) | 402 (43.7) | 527 (47.4) | 175 (49.3) | 0.121 |
ACEI | 1246 (52.2) | 466 (50.7) | 584 (52.5) | 196 (55.2) | 0.340 |
ARB | 279 (11.7) | 102 (11.1) | 142 (12.8) | 35 (9.9) | 0.257 |
Beta-blocker | 1365 (57.2) | 534 (58.1) | 636 (57.2) | 195 (54.9) | 0.590 |
Spironolactone | 938 (39.3) | 354 (38.5) | 437 (39.3) | 147 (41.4) | 0.639 |
ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin receptor blockers, LAD left atrial dimension, LVEDD left ventricular end-diastolic dimension, NT-proBNP the N-terminal pro-hormone of brain natriuretic peptide, NYHA New York Heart Association
aFor similarity among the different genotypes
bListed as number (%)
cInterquartile range included in parentheses
At the last assessment, the study follow-up compliance rate was 99.2% (2386/2403), and the mean follow-up period was 20.3 months (maximum: 60 months), with no significant difference among genotype groups (21.2, 19.6 and, 20.1 months for the AA, AG, and GG groups, respectively, P = 0.362). During follow-up, 57.2% of patients included in the outcome analysis were on βAR-blocker therapy (metoprolol or bisoprolol) for ≥6 months.
The basic characteristics of the patients in the replicated cohort were summarized in Supplementary Table S2 and the mean follow-up time was 15 months in the second cohort.
Study outcomes for entire cohort in the first cohort
At the July 2015 cutoff date for the first cohort, cardiovascular death or heart transplantation (the primary end point) had occurred in 419 patients (17.6%). During follow-up, 448 (18.8%) patients died and 391 (16.4%) of them died from cardiovascular causes. Rehospitalization occurred in 929 (38.9%) patients, with 708 (29.7%) being rehospitalized for cardiovascular reasons. The recurrence of HF was observed in 628 (26.3%) patients, and 40 (1.7%) patients experienced new onset of stroke. The impact of conventional clinical risk factors on HF prognosis was assessed for the study cohort (Supplementary Table S3). Increasing age (hazard ratio (HR), 1.02; 95% confidence interval (CI), 1.01−1.03; P < 0.001), a history of diabetes (HR, 1.53; 95% CI, 1.26−1.86; P < 0.001), the etiology of the HF (nonischemic versus ischemic; HR, 1.28; 95% CI, 1.05−1.56; P = 0.013), NYHA functional class (class III + IV versus class II; HR, 3.04; 95% CI, 2.39−3.87; P < 0.001), and the level of serum NT-proBNP (HR, 1.55; 95% CI, 1.45−1.67; P < 0.001) were significantly and positively associated with the risk of the primary end point in our study.
Of the five missense variants we identified in the exons of the ADRB1, ADRB2, and GRK5 genes, only ADRB2 Arg16Gly A > G (G being the minor allele, with a frequency of 38.2% in our HF cohort) was significantly associated with heterogeneity in the primary end point and an individual end point of cardiovascular deaths (both P < 0.001 by Log rank test) (Fig. 2a, b). The primary end point—cardiovascular death or heart transplantation—occurred in 129 (14.0%) patients with the AA genotype, compared with 209 (18.8%) patients with the AG genotype (HR, 1.42; 95% CI, 1.14−1.77; P = 0.002 for AG versus AA) and 81 (22.8%) patients with the GG genotype (HR, 1.22; 95% CI, 0.94−1.57; P = 0.136 for GG versus AG and HR, 1.71; 95% CI, 1.30–2.26; P < 0.001 for GG versus AA, respectively). By combining the patients with AG and GG genotypes into a single group, we found that the patients carrying G allele had a 50% higher risk of cardiovascular death or heart transplantation (HR, 1.49; 95% CI, 1.21−1.83; P < 0.001 for AG/GG versus AA; Table 2). However, when the analyses were conducted on patient subgroups with reduced or preserved left ventricular ejection fraction, the genotype-dependent variability in prognosis was only detected in the subgroup of HFpEF (heart failure with preserved ejection fraction) but not in the HFrEF subgroup (Supplementary Fig. S1).
Table 2.
Outcome | AA genotype | AG genotype | GG genotype | HRa (95% CI) or ORb | P value |
---|---|---|---|---|---|
(N = 919) | (N = 1112) | (N = 355) | AG/GG vs. AA | ||
Primary composite outcome—no. (%) | |||||
Death from cardiovascular causes or heart transplantation | 129 (14.0) | 209 (18.8) | 81 (22.8) | 1.49 (1.21–1.83) | <0.001 |
Death from cardiovascular causes | 124 (13.5) | 193 (17.4) | 74 (20.8) | 1.44 (1.16–1.79) | 0.001 |
Secondary outcomes—no. (%) | |||||
Death from any cause | 138 (15.0) | 226 (20.3) | 84 (23.7) | 1.50 (1.22–1.83) | <0.001 |
First hospitalization for cardiovascular causes | 243 (26.4) | 355 (31.9) | 110 (31.0) | 1.26 (1.08–1.48) | 0.003 |
First hospitalization for any cause | 317 (34.1) | 482 (43.3) | 130 (36.6) | 1.30 (1.13–1.49) | <0.001 |
Recurrence of heart failure | 228 (24.8) | 304 (27.3) | 99 (27.9) | 1.15 (0.98–1.36) | 0.086 |
Other related outcomes—no. (%) | |||||
New onset of stroke | 12 (1.3) | 23 (2.1) | 5 (1.4) | 1.41 (0.72–2.78) | 0.320 |
Improvement in NYHA class | 505 (55.0) | 557 (50.1) | 170 (47.9) | 1.22 (1.03–1.45) | 0.021 |
NYHA New York Heart Association
aHR, hazard ratios and P value were calculated with the use of stratified Cox proportional hazard models adjusting with gender, age, and history of hypertension
bImprovement in heart function was analyzed as a binary outcome with the use of logistic regression model to calculate the odds ratio and P value
During follow-up, 15.0% (138/919) of patients in the AA group, 20.3% (226/1112) of patients in the AG group, and 23.7% (84/355) of patients in the GG group died (HR, 1.50; 95% CI, 1.22–1.83; P < 0.001 for AG/GG versus AA; Table 2). Most of these deaths (124 in the AA group, 193 in the AG group, and 74 in the GG group) had cardiovascular causes and the G allele was associated with increased risk of this individual end point (HR, 1.44; 95% CI, 1.16−1.79; P = 0.001 for AG/GG versus AA; Table 2). The heterogeneity in all-cause mortality, rehospitalization rate and improvement in NYHA class were similarly associated with the genotypes of this SNP. The recurrence of HF did not differ among the three genotype groups (Table 2).
Among the other four missense variants in the ADRB1, ADRB2, and GRK5 genes, only the AT genotype of GRK5 Gln41Leu (A > T, with a minor allele frequency of 1.2% in our study) was associated with an altered risk of any of the end points assessed. Patients with the AT genotype of GRK5 Gln41Leu had a lower rate of cardiovascular rehospitalization (29.9% in the AA group versus 18.6% in the AT group, P = 0.029; no one in our cohort had the TT genotype) rather than the primary end point and all-cause death (Supplementary Table S4).
Effects of β-blocker treatment on the prognosis of heart failure
Consistent with findings from previous clinical trials20–22, βAR-blocker therapy was associated with a reduced risk of the composite primary end point (adjusted HR, 0.59; 95% CI, 0.45−0.76; P < 0.001); cardiovascular death or heart transplantation occurred in 10.9% (149/1365) of patients taking βAR-blocker therapy and 26.4% (270/1021) of patients who were naïve to β-blockers (Fig. 2c). The risk of the individual end point of death from a cardiovascular cause was similarly reduced among patients taking βAR blockers (adjusted HR, 0.58; 95% CI, 0.44−0.76; P < 0.001) (Supplementary Fig. S2a); however, we detected no association between βAR-blocker therapy and rate of rehospitalization owing to a cardiovascular cause in our study (P = 0.788) (Supplementary Fig. S2b).
In the absence of a βAR-blocker intervention, transplantation-free survival (that is, the primary end point of the study) varied significantly among the groups stratified by the ADRB2 Arg16Gly genotypes. Patients with the G allele were more likely to experience the primary end point (35.6% for patients with GG genotype, 29.8% for patients with AG genotype, and 19.4% for the patients with AA genotype; Log rank P < 0.001) (Fig. 2d). The outcome heterogeneity was not observed among the patients who were receiving βAR-blocker therapy (log-rank P = 0.732) (Fig. 2e), indicating that genetic variation may influence the efficacy of β-blocker treatment.
When multivariate analysis was performed using Cox proportional hazards models, the benefits of β-blocker treatment were confirmed to vary among the different genotypes of ADRB2 Arg16Gly site. A pretest on the distribution of clinical characteristics stratified by β-blocker usage and various genotypes was conducted (Supplementary Tables S5–10). Notably, for ADRB2 Arg16Gly A > G site, βAR-blocker therapy improved the transplantation-free survival in patients with GG and AG genotypes in a G allele-dose-dependent manner (adjusted HR, 0.38; 95% CI, 0.23−0.64; P < 0.001 in the GG genotype group; and adjusted HR, 0.64; 95% CI, 0.42−0.96; P = 0.030 in the AG genotype group) (Fig. 2f, g and Supplementary Fig. S3). However, after adjustments, no significant effect of βAR-blocker therapy was observed in the AA genotype subgroup (adjusted HR, 0.70; 95% CI, 0.45−1.10; P = 0.121; Fig. 2h, Supplementary Fig. S3). After combining AG and GG into one group, the risk of cardiovascular death or heart transplantation was decreased by approximately 50% when β-blockers were used (adjusted HR, 0.51; 95% CI, 0.38−0.70; P < 0.001). Beneficial therapeutic effects of β-blocker and the ADRB2 Arg16Gly site-associated heterogeneities in β-blocker responses were consistent in both HFrEF and HFpEF subgroups (Supplementary Fig. S4).
Apparent heterogeneities in the response to β-blockers were also detected for some of the other SNPs (Fig. 2i). In patients with AT genotype of the GRK5 Gln41Leu A > T site (59 patients, 2.5% of all patients) or the AA genotype of GRK5 Arg304His G > A site (148 patients, 6.2% of all patients), β-blocker treatments were not significantly associated with a reduction in the risk of cardiovascular death or heart transplantation (P = 0.066 and P = 0.096, respectively), unlike in patients with the other variants at these loci.
Although a beneficial response to β-blockers was observed in all three genotypes at the ARDB2 Gln27Glu C > G site, these beneficial effects were increased in a G allele-dose-dependent manner (adjusted HR, 0.66; 95% CI, 0.50−0.87; P = 0.003 for the CC group; adjusted HR, 0.36; 95% CI, 0.18−0.71; P = 0.003 for the CG group; and adjusted HR, 0.25; 95% CI, 0.11−0.57; P < 0.001 for the GG group) (Fig. 2i). To assess the impact of both of the ADRB2 missense polymorphisms together, we examined outcomes in study participants grouped on the basis of their status with regards to the two polymorphisms. The benefits associated with βAR-blocker therapy when patients were stratified according to three genotype combinations—homozygous for both Arg16 and Gln27 (that is, patients with only the major alleles; designated as group A), homozygous for both Gly16 and Glu27 (that is, patients with only the minor alleles; designated as group C), and other genotypes (designated as group B)—were analyzed. βAR-blocker treatment was associated with a significantly decreased risk of the primary end point in the patients with at least one minor allele (adjusted HR, 0.60; 95% CI, 0.42−0.85; P = 0.004 for genotype group B; and adjusted HR, 0.33; 95% CI, 0.17−0.61; P = 0.001 for genotype group C), but not in patients with no minor allele (adjusted HR 0.70; 95% CI, 0.44−1.12; P = 0.138 for genotype group A; Fig. 2i).
ADRB2 Arg16Gly-dependent clinical outcomes in the replicated cohort
To further substantiate our findings from the first cohort, we subsequently carried out an independent replication study by genotyping another cohort of 919 chronic HF patients to validate the observed associations. We successfully replicated the ADRB2 Arg16Gly site-dependent heterogeneity in prognosis of HF in this independent cohort, and the result showed that in the natural state without treatment of β-blockers, patients carrying G allele (AG/GG genotype) had worse prognosis compared with patients who are AA homozygous (adjusted HR, 2.09; 95% CI, 1.06−4.12; P = 0.034 for AG/GG versus AA; Supplementary Table S11). We also reinvestigated the response to βAR-blocker therapy in different genotype group according to ADRB2 Arg16Gly site. The results confirmed that, after adjusting for age, sex, NYHA functional class, and other drug treatments, G allele carriers are good responders to β-blockers (adjusted HR, 0.86; 95% CI, 0.31−2.42; P = 0.774 for AA genotype group; adjusted HR, 0.49; 95% CI, 26−0.92; P = 0.026 for AG/GG genotype group, Supplementary Table S11).
Effects of ADRB2 Arg16Gly variation on β2AR function in vitro
To explore the possible mechanism underlying the relationship between the ADRB2 Arg16Gly polymorphism and long-term prognosis and response to βAR-blocker therapy, we examined the downstream signaling events of different β2AR genotypes in primary cultured rodent myocardial cells and human peripheral lymphocytes. Transduction efficiency of the control Adeno-GFP virus was over 90% in our preliminary test on adult rat cardiomyocytes (Supplementary Fig. S5), similar to our previous reports13,23. When rat cardiomyocytes were infected with one of the Adeno-ADRB2-Arg16, Adeno-ADRB2-Gly16 or Adeno-GFP viruses, we found successful expression of the two β2AR variants at comparable levels (Fig. 3a and Supplementary Fig. S6). Disruption of Gi signaling with pertussis toxin (PTX) significantly augmented the contractile response to zinterol, a β2AR agonist, in adult rat cardiomyocytes expressing human ADRB2-Arg16, but not in cells expressing ADRB2-Gly16 (Fig. 3b). Furthermore, in ADRB2 knockout mouse cardiomyocytes infected with Adeno-ADRB2-Arg16 or Adeno-ADRB2-Gly16 and without PTX pretreatment, zinterol increased cell contractility to 200–300% of the basal levels (Fig. 3c, Supplementary Fig. S7). PTX treatment markedly enhanced zinterol-induced contractile response in cells expressing ADRB2-Arg16, but not in cells expressing ADRB2-Gly16 (Fig. 3c). Similar results were observed in lymphocytes isolated from HF patients with the various β2AR genotypes: the inhibition of Gi signal by PTX significantly enhanced the β2AR-mediated elevation of cAMP levels in lymphocytes with the AA genotype (P < 0.05), whereas cells with AG or GG genotype were insensitive to PTX treatment (Fig. 3d). Thus, the results indicate that the ADRB2 Arg16Gly is a loss-of-function polymorphism with respect to Gi protein-coupling in all of the used experimental systems.
Discussion
In the first cohort of this study, a multicenter observational study of 2403 patients with chronic HF reveals that only Arg16Gly A > G polymorphism in ADRB2 gene seems to influence the prognostic outcome of HF. The G allele is independently associated with a nearly 50% increase in the risk of cardiovascular death or transplantation after HF. Furthermore, we have shown that chronic HF patients carrying the ADRB2-Gly16 allele (AG or GG genotype) have a markedly increased beneficial response to βAR-blocker therapy in an allele-dose-dependent manner. In all, 36 and 62% reductions of risk in the composite end point of cardiovascular death or heart transplantation were observed for the AG (P = 0.03) and the GG genotype (P < 0.001), respectively (Fig. 2f, g). In contrast, after multiple adjustments, the patients with the AA genotype experienced no significant benefit from βAR-blocker therapy (Fig. 2h). These observations can be successfully replicated in a separate chronic HF patient cohort. The influence of the G allele on the efficacy of βAR-blocker therapy is independent of conventional treatments, including angiotensin-converting enzyme inhibitors, spironolactone, digoxin, and diuretics with multiple adjustments. These findings provide a molecular basis among others for the long-standing question in the cardiovascular field of why nearly half of the HF patients do not respond well to β-blocker therapy24–27.
Mechanistically, we have demonstrated that disruption of Gi signaling with PTX cannot alter β2AR-mediated contractile response in cardiomyocytes expressing ADRB2-Gly16, but markedly enhances the positive inotropic effect of β2AR stimulation in cardiomyocytes expressing ADRB2-Arg16 in both adult rat model and β2AR-deficient mouse model (Fig. 3b, c). This conclusion is corroborated by the fact that PTX potentiates β2AR-stimulated cAMP production in human lymphocytes carrying two ADRB2-Arg16 alleles but not in cells expressing ADRB2-Gly16 (Fig. 3d). Taken together, we have demonstrated that β2ARs encoded by ADRB2-Gly16 cannot couple to Gi, while wild-type β2ARs (encoded by ADRB2-Arg16) activate both Gs and Gi signaling pathways.
In HF, the hyperactivity of the sympathetic nervous system with an excessive βAR stimulation—the salient feature of this syndrome—is widely considered to be a compensatory mechanism for impaired heart function16,28. In the acute phase, activated βAR signaling is beneficial to meet the demands of the body; however, chronic βAR stimulation, especially β1AR persistent activation, initiates a cascade of cardiac hypertrophy and apoptosis via evoking CAMKII signaling pathway11. β1AR and β2AR are coexpressed in the heart, but exhibit distinct functions under certain pathological circumstances, such as chronic HF. Unlike the β1AR, which only couples to Gs, β2AR also couples to PTX-sensitive Gi proteins15 and mediates cardioprotective effects through the Gi–Gβγ–PI3K–AKT cell survival pathway18,19. Previous studies have shown that the deficiency of β2AR enhances isoproterenol- or doxorubicin-induced myocardial injuries and mortality in mice29,30, and the loss-of-function ADRB2 Thr164Ile mutation is associated with increased mortality in patients with HF31. These outcomes are likely the consequence of the loss of the β2AR-Gi–Gβγ–PI3K–AKT cell survival pathway18,19. Meanwhile, β2AR-Gi signaling has been reported to mediate the crosstalk of β adrenergic receptor subtypes. Specifically, β2AR-Gi signaling abrogates β1AR-induced loss of cardiomyocytes and negates both β1AR-mediated and β2AR-mediated positive inotropic effects by negating the activation of l-type calcium channel and CaMKII32–35. Thus, β2AR-evoked Gi signaling biologically mimics the β1AR blocking effect. In the present study, we have demonstrated that ADRB2-Gly16 is deficient in its coupling to Gi proteins (loss of function), which resulted in a loss of endogenous protection. In addition, the deficiency of the β2AR-Gi-signaling may exaggerate the pathogenic β1AR signaling. Thus, in the absence of βAR-blocker treatment, the subgroups of patients with AG or GG genotype have a markedly worse prognosis compared with patients with the AA genotype. Meanwhile, the reduced inhibition of the β1AR-Gs signaling by the β2AR-Gi in ADRB2-Gly16-expressing myocardial cells may explain why the G allele carriers are hypersensitive to βAR-blocker therapy. Moreover, we and others have demonstrated that selective activation of β2AR-coupled Gs with fenoterol is also beneficial in multiple HF models36,37, and that β2AR-mediated Gs signaling provides contractile support without evoking the CaMKII-dependent cell death signaling cascade38. Thus, finely tuned β2AR-coupled Gs and Gi signaling has important pathological and therapeutic implications in HF. Especially for patients who are insensitive to β1AR blockade therapy, β2-AR activation treating might be a potential novel therapy in future39.
Notably, several previous studies have been conducted to investigate the association between ADRB2 polymorphism and HF prognosis; however, the results are lack of enough power and not consistent31,40,41. The reason is mainly due to racial differences in the study populations. While exclusively Han Chinese are enrolled in the present study, the major composition of the study populations in these previous studies is Caucasian (>70%)31,40,41. For the ADRB2 Arg16Gly A > G variant, the G allele is the minor allele in the Chinese Han population, with a frequency of 38.2% in our study, whereas it is the major allele in the European population (61.4%, 1000 Genomes Project Phase 3: http://asia.ensembl.org/Homo_sapiens/Variation/Population?db=core;r=5:148826377-148827377;v=rs1042713;vdb=variation;vf=747520)42. Moreover, AA homozygotes (38.4% in our study), which have poor response to β-blockers, exhibit only a frequency of 13.5% in the European population42. The nonresponsiveness to β-blocker therapy was not readily detected in previous studies, because those studies enrolled large proportions of Caucasians, which had a low frequency of AA homozygotes31,40,41. In addition, small sample sizes (500 for one study and 186 for another) and limited follow-up period (12 months) in some studies also partly explain why previous studies have failed to reveal this association40,41. Differences in inclusion criteria may also contribute to the observed inconsistency between this and previous studies. For instance, most previous studies have only included HF patients with reduced ejection fraction (<35–40%)20–22, whereas our study included both HFrEF and HFpEF subjects.
In addition to the ADRB2 Arg16Gly variant, previous studies have shown the contributions of other naturally existing SNPs in related genes to the heterogeneity of HF patients to β-blocker therapy9,24–27,43. In particular, for the ADRB1 Arg389Gly C > G variant, we have shown that homozygotes ADRB1-Arg389 in our HF cohort exhibit a better response to βAR-blocker treatment (HR, 0.52; P = 0.002) than Gly389 homozygotes (HR, 0.51; P = 0.05) (Fig. 2i), similar to the situation of Caucasians26. Furthermore, HF patients harboring one or two Glu27 alleles in the ADRB2 Gln27Glu locus (the G allele) exhibit better responses to β-blockers than Gln27 (the C allele) homozygotes (HR, 0.25 for the GG genotype; HR, 0.36 for the CG genotype; and HR, 0.66 for the CC genotype) (Fig. 2i), consistent with previous reports41,43.
For the GRK5 Gln41Leu A > T locus, the T allele frequency is much higher in African American populations (32.6%) than in Chinese (1.1–1.3%) or Caucasians (2.6%) populations25. African American HF patients with the T allele exhibit a greater survival rate in the absence of β-blockers than those carrying the A allele, but they are resistant to βAR-blocker therapy25,27. However, in our study, among 59 patients carrying the T allele, only three patients with and five patients without βAR-blocker treatment experienced the primary end point event during follow-up. Thus, the present study is underpowered for this particular analysis.
Although clinical guidelines recommend maximal and nondiscriminatory prescription of β-blockers to all patients with stable HF in early stages, except for patients with comorbid contradictory conditions or who are unable to tolerate treatment with these drugs6,44, objective records indicate that only 57.2% of our patients (64.3% of patients with NYHA class II HF, 56.3% of patients with NYHA class III HF, and 45.1% of patients with NYHA class IV HF) received β-blocker treatment. These medication rates have enabled us to collect comprehensive information regarding how patient genotype affects the progression of HF without the medication. Many previous studies, which have not demonstrated an effect of the ADRB2 SNPs on HF prognosis, have medication rates of 80−100% for β-blockers45–48. Here, we are able to show on the basis of our data and previous reports that the therapeutic responses to β-blockers actually vary among genotypic subgroups of HF patients25–27. Application of βAR-blocker therapy based on patient’s genotype should be strongly recommended.
In conclusion, in this large-scale, multicenter and observational study of HF, we have validated a strong association between the Arg16Gly A > G polymorphism in the ADRB2 gene and clinical outcomes. The G allele carriers had a worse prognosis but responded well to β-blocker treatment. These findings provide both an explanation for the profound heterogeneity in the response to β-blocker therapy and the theoretical basis for individualizing β-blocker therapy in HF.
Materials and methods
Study oversight
The study was funded by the National Basic Research Program of China. The executive committee designed and oversaw the conduct of the study and data analysis. All protocols and methods were approved by the ethics committees of the local hospitals (Ethics Committee of Tongji Hospital) and conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization Guidelines for Good Clinical Practice. We obtained written informed consents from all participants. An independent data and safety monitoring committee periodically reviewed the study data.
Study design
A multicenter observational study was designed to investigate the combined effects of genotype and β-blocker therapy on prognosis, without interfering with any routine treatment procedures for patients with HF. In the preparatory stage, sequencing data for 100 pairs of HF patients and healthy control individuals from the local Chinese Han population were obtained to determine the allele frequency and distribution of polymorphisms of genes involved in βAR signaling in this population. From January 2009, patients who were diagnosed as having HF were enrolled in this study at three centers in Southern (Tongji Hospital Affiliated to Tongji Medical Collage, Huazhong University of Science and Technology, Wuhan) and Northern (the Second Hospital of Hebei Medical University, Shijiazhuang; and Fuwai Hospital, National Center for Cardiovascular Disease, Beijing) China. A second separate cohort enrolled 919 patients with chronic HF and was used to validate the results observed in the first cohort. Patients were followed up periodically until the termination of the study. The primary end point was a composite of cardiovascular death or heart transplantation. The secondary end points included all-cause mortality, recurrence of HF, and first rehospitalization for cardiovascular causes. These rehospitalizations were defined as hospital admission for angina, arrhythmias, or HF-related symptoms, such as dyspnea or edema. Other related outcomes, such as hospitalization for any cause, new onset of stroke, and symptom relief as determined using the NYHA functional class, were also recorded during follow-up. The sample size and the number of required events were evaluated according to the preplanned interim analysis for the primary end point.
Eligibility and study procedures
From January 2009 to October 2014, 2615 patients were screened for eligibility for admission to the study. The replicated cohort included 919 patients with chronic HF recruited in Tongji Hospital (Wuhan) from October 2014 to March 2016. Eligibility requirements included age ≥ 18 years, NYHA class II−IV HF with reduced or preserved left ventricular ejection fraction, and willingness to participate in long-term follow-up. The diagnosis of HF was confirmed by physical examination, laboratory tests, echocardiography, and according to the established protocols and criteria of the ACC and AHA6. At the time of study entry, detailed clinical data were obtained using a standardized questionnaire administered to the patients, with verification via medical records. The exclusion criteria were: severe valvular heart disease as the leading cause of HF; life-threatening complications, such as severe liver dysfunction, renal dysfunction, or a history of malignancy and life expectancy < 1 year; second or third degree atrioventricular block, unless the patient had received a pacemaker; acute myocardial infarction or unstable angina within 1 month before admission; or refusal to participate in the follow-up. Whether the patient was treated with β-blockers was left to the treating physician’s discretion. The investigators were instructed to make follow-up telephone calls or to perform face-to-face interviews at predesignated times after patient discharge, to collect relevant information on the clinical events under evaluation. Information regarding medication usage for therapies administered for >6 months was also collected. The duration of follow-up was defined as the interval from the date of enrollment to the date when the primary end point occurred or the last contact.
Resequencing and genotyping
The DNA samples were prepared as previously reported49. The coding regions of the ADRB1, ADRB2, GRK2, and GRK5 genes were screened via directional Sanger sequencing using the ABI 3130 BigDye Terminator v3.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, CA, USA) on an ABI 3130xl sequencer. The primer sequences and amplicon sizes are given in Supplementary Table S12. The sequence analyses were performed using a 3130 Genetic Analyzer (Applied Biosystems, Foster City, CA, USA). The 7900 HT PCR system (Applied Biosystems, Foster City, CA, USA) and TaqMan allelic discrimination assay were used for genotyping. Forward and reverse TaqMan primers and FAM/VIC-labeled MGB probes, designed by Applied Biosystems or Shanghai GeneCore BioTechnologies Co. Ltd., were used for allelic discrimination (Supplementary Table S13), and the genotype assignments were performed using SDS Software v2.3.
Adenoviruses
Culture and adenovirus-mediated gene transfer of adult rat or mouse cardiomyocytes were implemented by methods described previously13,23. The starting DNA sequence for the generation of vector constructs of adenoviruses was that codes for the wild-type (Arg16) human β2AR, with the following modifications: an N-terminal hemagglutinin tag followed by a FLAG sequence, and a C-terminal polyhistidine tag50. The shuttle vectors were generated by sub-cloning. Site-directed mutagenesis on the ADRB2 gene sequence was performed with the QuickChange II site-directed mutagenesis kit (Agilent Technologies, Santa Clara, CA, USA) to introduce a single nucleotide change (A to G, Arg16Gly) to mimic the naturally occurring polymorphism. An adenovirus carrying the wild-type human ADRB2-Arg16 sequence, one carrying the minor allele sequence ADRB2-Gly16, and the control adenovirus for jellyfish green fluorescent protein (GFP) were amplified, purified, and titered using established protocols described previously13,23.
Cardiomyocyte isolation, adenoviral infection, and contractility measurement
Cardiomyocytes were isolated from the hearts of Sprague-Dawley rats (male, 180–230 g) or ADRB2 knockout mice (male, 2–4 months) using standard enzymatic techniques13–15,23. Cardiomyocytes were seeded on laminin-coated coverslips and infected with the appropriate adenovirus at a multiplicity of infection of 100. Subsequently, the myocytes were cultured for 24 h in medium supplemented with forskolin (10 μM) and 2,3-butanedione monoxime (10 mM) to reestablish Gi coupling of the β2AR expressed from the viral vector23,51.
For protein determination, adenovirus-infected rat cardiomyocytes (about 50,000 cells) were lysed in a lysis buffer (Solarbio Science & Technology, Beijing, China) containing a protease inhibitor mixture (Roche Diagnostics, Basel, Switzerland). Cell lysates were clarified by centrifugation. A portion of the samples for β2AR detection were further denatured and treated with peptide: N-glycosidase (PNGase F, New England Biolabs, Ipswich, MA, USA) for 2 h at 37 °C. The samples were denatured in Laemmli sample buffer and resolved by SDS-PAGE. The β2AR (C-tail antibody sc-569 from Santa Cruz Biotechnology, Santa Cruz, CA, USA, 1:1000) and GAPDH (antibody from EasyBio, China, 1:1000) were detected by immunoblotting. Densitometry was performed using NIH ImageJ. Ratios between the β2AR and the housekeeping protein GAPDH were calculated to normalize protein quantity.
Contractility measurements were performed as previously described15. Briefly, cardiomyocytes were perfused with a buffer containing 137 mM NaCl, 4.9 mM KCl, 1.2 mM MgCl2, 1 mM NaH2PO4, 1 mM CaCl2, 20 mM glucose, and 20 mM HEPES (pH 7.4), and electrically paced at ambient temperature on a microscopic stage. Cell length was monitored by an optical edge tracking method using an instrument setup manufactured by IonOptix (Milton, MA, USA). The measurements were made under steady-state conditions before and after treatment with a β2AR agonist, zinterol (from Tocris Bioscience, Bristol, UK; 10 μM for rat cardiomyocytes or 0.3 μM for ADRB2 knockout mouse cardiomyocytes). In a subset of experiments, cells were pretreated with pertussis toxin (PTX, from List Biological Laboratories, Campbell, CA, USA; 0.75 μg/ml overnight) to block Gi signaling, as previously described15,51.
Human peripheral lymphocyte separation and measurement of cAMP accumulation
Suspended lymphocytes from peripheral blood of HF patients with different genotypes of ADRB2 Arg16Gly site (AA, AG, or GG) (Supplementary Table S14) were prepared using lymphocyte separation medium (LTS10770125, Tian Jin Hao Yang Biological Manufacture, China) according to the manufacturer’s instructions. The separated cells were seeded in six-well plates V (107 cells/well) and cultured at 37 °C in RPMI-1640 medium (Flow, Rockville, MD, USA) containing 10% fetal bovine serum (Hyclone, Logan, UT, USA) and supplemented with 100 U/ml penicillin and 100 mg/ml streptomycin. Gi signaling was specifically disrupted by pretreatment with 1.5 µg/ml PTX for 3 h before stimulation with 10 μM salbutamol for 10 or 30 min. To inhibit the degradation of cAMP, 200 μM 3-isobutyl-1-methylxanthine was added to each well 5 min before stopping the reaction at indicated time points. The cell lysates were used in the cAMP assay according to the instructions for the enzyme-linked immunosorbent assay kit (R&D Systems, Minneapolis, MN, USA). The accumulation of cAMP in whole cell lysates was compared among different genotype groups.
Statistical analysis
We conducted a preplanned interim analysis for survival free from heart transplantation, and the sample size and required number of primary outcome events were calculated on the basis of the genotype of the ADRB2 Arg16Gly locus. Patients who were heterozygous or homozygous for Gly16 were combined into a single group, owing to the determined event rate. A 90% power to detect significant prognostic differences between G allele carriers and the AA homozygotes of ADRB2 Arg16Gly polymorphism at an overall two-sided alpha level of 0.05 was desired. To achieve this outcome, with 344 effective events, we estimated that approximately 2700 patients would need to be followed up. However, the event rate was higher than expected. As of July 2015, 419 primary end points occurred in all patients enrolled in the first cohort, providing a power of 96% to detect a significant difference for this outcome. We therefore decided to terminate and selected July 2015 as the cutoff date for the final summary of the ADRB2 Arg16Gly variant analysis in the first cohort.
The clinical baseline characteristics of the participants enrolled in two cohorts are presented as the means, standard deviations; medians, interquartile range for continuous variables and counts and percentages for categorical variables. Comparisons between two groups were performed by independent samples t test and chi-square test. Multiple comparisons were performed by one-way ANOVA using the post-hoc test. Time-to-event data were estimated using Kaplan−Meier analysis, and P values were evaluated based on log-rank tests stratified according to the SNP genotypes. HRs and 95% CIs for β-blocker treatment were estimated using Cox proportional hazards models. A two-sided P value of 0.05 indicated statistical significance after adjustment for the clinical covariants with an unbalanced distribution between the groups. Improvement in NYHA functional class from enrollment through the follow-up period was analyzed as a binary outcome (improved condition versus no change or deteriorated condition) using a logistic regression model.
Statistical analyses were performed using the SPSS statistical software package (Version 16.0, SPSS Inc., Chicago, IL, USA) or Prism 5.0 (GraphPad Software Inc, San Diego, CA, USA). All reported P values are two-sided, and those <0.05 were considered to be statistically significant.
Electronic supplementary material
Acknowledgements
This work was supported by the grants from National Program on Key Basic Research Project (973 Program) (No. 2012CB518004) and National Nature Science Foundation of China (No. 91439203, 81800356, and 81800336). We thank all the study researchers, as well as patients who participated in the present study.
Author contributions
Corresponding authors were responsible for the study design, protocol development, study monitoring, and data management. Data analysis and manuscript drafting were performed by the first authors and guided by corresponding authors. All listed authors were involved in the study protocol review, data collection, and the decision to submit the manuscript for publication. Only the listed authors contributed to the writing of the manuscript. All authors assume responsibility for the accuracy and completeness of the data and for the fidelity of the study to the protocol.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Jin Huang, Chenze Li, Ying Song
Contributor Information
Rui-Ping Xiao, Phone: 86-10-6275-7243, Email: xiaor@pku.edu.cn.
Dao Wen Wang, Phone: 86-27-8366-3280, Email: dwwang@tjh.tjmu.edu.cn.
Electronic supplementary material
Supplementary Information accompanies the paper at (10.1038/s41421-018-0058-6).
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