New insights into the effects of glucagon-like peptide-1 on heart rate and sinoatrial node function
Bibliographic record
Abstract
This editorial refers to ‘Glucagon-like peptide-1 increases heart rate by a direct action on the sinus node’, by A.F. Lubberding et al., https://doi.org/10.1093/cvr/cvae120. Glucagon-like peptide-1 (GLP-1) is an incretin hormone produced in endocrine cells in the small and large intestines with known effects on insulin secretion.1,2 GLP-1 elicits its effects via a G-protein coupled receptor denoted GLP-1R.2 Multiple GLP-1-related compounds have now been approved for the treatment of type 2 diabetes mellitus (T2DM) and for body mass management.2 Patients with T2DM are at increased risk of cardiovascular diseases, which substantially increase morbidity and mortality in these individuals.2 Importantly, a number of trials in patients with T2DM have shown that treatment with GLP-1R agonists effectively reduces major adverse cardiovascular events and cardiovascular mortality.3,4 As a result, there is substantial interest in the use of GLP-1R agonists for the treatment or prevention of cardiovascular disease in T2DM and potentially in other conditions as well. While the beneficial effects of GLP-1R agonists in clinical trials have generated enthusiasm for these compounds, there is much that is still unknown about their effects on the heart and cardiac function. This is due in part to an incomplete understanding of which cell types in the heart express GLP-1R and a need for studies assessing the cellular and molecular mechanisms for GLP-1 (and related analogues) effects on the heart. Schematic representation of the effects of GLP-1 on heart rate and sinoatrial node function in a porcine model. GLP-1 increased heart rate in anaesthetized pigs in vivo and in isolated pig hearts. In isolated SAN preparations from the pig heart GLP-1 increased spontaneous action potential firing frequency by increasing the slope of the diastolic depolarization. These data demonstrate that GLP-1 can increase heart rate via direct effects on the SAN in the pig (figure created with BioRender.com). It is well documented in clinical and pre-clinical/animal studies that GLP-1R agonists elicit a positive chronotropic effect1,2; however, the basis for this increase in heart rate is poorly understood. Previous studies have provided evidence for both direct and indirect effects of GLP-1/GLP-1R agonists on the heart to explain increases in heart rate.5,6 Understanding the basis for the effects of GLP-1 on heart rate is important because an increase in heart rate is associated with worse outcomes in some heart disease patients.7 Heart rate is determined by the intrinsic spontaneous activity of the sinoatrial node (SAN).8,9 The specialized pacemaker myocytes of the SAN generate spontaneous action potentials, characterized by a phase 4 diastolic depolarization, due to the coordinated activity of a number of ionic mechanisms.8,9 More specifically, the hyperpolarization-activated current (If), carried by hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, contributes to the generation of the diastolic depolarization. In addition, the rhythmic release of Ca2+ from the sarcoplasmic reticulum leads to the generation of a Na+-Ca2+ exchanger mediated current (INCX) during diastolic depolarization.8 Each of these ionic mechanisms (as well as a number of other ion channels in the plasma membrane) affects the slope of the diastolic depolarization and hence the frequency of spontaneous action potential firing and heart rate. SAN function (and heart rate) is modulated by the autonomic nervous system, which affects the ionic mechanisms noted above via downstream signalling pathways in SAN myocytes.8 In their recent study, Lubberding et al. have conducted an elegant series of experiments to assess the effects of GLP-1 on heart rate and SAN function.10 Their studies were conducted in a highly relevant porcine model using both intact anaesthetized pigs and isolated pig hearts and isolated SAN tissues. The authors used single-nucleus RNA sequencing to demonstrate that the GLP-1R is located in a population of cells from the SAN that also express HCN4 indicating that GLP-1R is present in pig SAN myocytes. Functional studies demonstrate several key outcomes including (i) that GLP-1 increases heart rate in the pig, (ii) the positive chronotropic effects of GLP-1 in the pig are maintained in the presence of autonomic nervous system blockade, α- and β-adrenergic receptor blockers, as well as in the presence of ivabradine (used to block If), (iii) the effects of GLP-1 on heart rate in the pig are prevented by exendin 9–39 (a GLP-1R antagonist), and (iv) GLP-1 increases spontaneous action potential firing and diastolic depolarization slope in isolated pig SAN preparations. Phosphoproteomic analysis identified potential effects of GLP-1 on Ca2+ signalling and cAMP signalling among other pathways. Based on these experiments, the authors conclude that GLP-1 increases heart rate in the pig via direct effects on the SAN and suggest that these effects may involve, at least in part, effects on Ca2+ signalling in the SAN (Figure 1). The results of this study are important and provide critical new insight into the potential mechanisms through which GLP-1 (and possibly other GLP-1R agonists) can increase heart rate. Nevertheless, some questions remain unanswered. While the data demonstrating that the GLP-1 increases heart rate in the pig via direct effects on the SAN are convincing, a prior study in mice concluded that GLP-1 increases heart rate via effects on the autonomic nervous system.5 A separate study identified direct effects of liraglutide on heart rate and SAN function in rabbits and mice but, in contrast to the present study, concluded that these effects involved HCN channels and If.6 Whether these differing results are related to species differences or other factors requires further investigation. Related to this, the exact cell types in the heart that express the GLP-1R remains an ongoing issue. The phosphoproteomic work is insightful and leads to intriguing hypotheses on the mechanisms through which GLP-1 could affect spontaneous action potential firing in SAN myocytes. The authors have suggested effects on Ca2+ signalling and cAMP regulation; however, direct assessment of ion channels and sarcoplasmic reticulum Ca2+ handling and their regulation by GLP-1/cAMP signalling are still needed to validate these hypotheses. The phosphoproteomic results also identified a number of other alterations that could be involved in the effects of GLP-1 in the SAN, which warrant further study. Future studies should also assess the effects of GLP-1 on SAN function in models of T2DM, or other models of heart disease, as there could be effects that are unique in different disease conditions. Whether cardiac GLP-1R expression patterns are altered in different disease states requires further study. Finally, recent studies have demonstrated that chronic GLP-1 treatment in Type 2 diabetic mice has effects on atrial ion channel function and fibrosis11; therefore, studies on the effects of chronic GLP-1 treatment on SAN structure and function are needed. In summary, Lubberding et al. have generated a very important data set that provides much needed new insight into the effects of GLP-1 on heart rate and SAN function. The study adds to a growing body of literature aimed at addressing this important issue. Continued efforts to investigate the mechanistic effects of GLP-1R agonists on the heart, including the SAN, are critical in order to understand the implications of heart rate effects in patients being treated with GLP-1R agonists. Work in the authors laboratory is supported by The Canadian Institutes of Health Research (PJT166105 and PJT180474) and the Heart and Stroke Foundation of Canada (G-22-0032033).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.015 | 0.023 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".