Computational analysis of the human sinus node action potential: model development and effects of mutations.
Alan FabbriMatteo FantiniRonald WildersStefano SeveriPublished in: The Journal of physiology (2017)
The sinoatrial node (SAN) is the normal pacemaker of the mammalian heart. Over several decades, a large amount of data on the ionic mechanisms underlying the spontaneous electrical activity of SAN pacemaker cells has been obtained, mostly in experiments on single cells isolated from rabbit SAN. This wealth of data has allowed the development of mathematical models of the electrical activity of rabbit SAN pacemaker cells. The present study aimed to construct a comprehensive model of the electrical activity of a human SAN pacemaker cell using recently obtained electrophysiological data from human SAN pacemaker cells. We based our model on the recent Severi-DiFrancesco model of a rabbit SAN pacemaker cell. The action potential and calcium transient of the resulting model are close to the experimentally recorded values. The model has a much smaller 'funny current' (If ) than do rabbit cells, although its modulatory role is highly similar. Changes in pacing rate upon the implementation of mutations associated with sinus node dysfunction agree with the clinical observations. This agreement holds for both loss-of-function and gain-of-function mutations in the HCN4, SCN5A and KCNQ1 genes, underlying ion channelopathies in If , fast sodium current and slow delayed rectifier potassium current, respectively. We conclude that our human SAN cell model can be a useful tool in the design of experiments and the development of drugs that aim to modulate heart rate.
Keyphrases
- induced apoptosis
- cell cycle arrest
- endothelial cells
- heart rate
- lymph node
- primary care
- single cell
- healthcare
- endoplasmic reticulum stress
- vena cava
- electronic health record
- induced pluripotent stem cells
- big data
- cell death
- gene expression
- cell therapy
- heart failure
- machine learning
- blood pressure
- pluripotent stem cells
- oxidative stress
- signaling pathway
- bone marrow
- genome wide
- blood brain barrier
- artificial intelligence
- pi k akt
- climate change
- drug induced
- ionic liquid
- deep learning