Comprehensive structural and functional mapping of the mammalian cardiac nervous system

FOCUS: Heart
PRINCIPAL INVESTIGATOR(S): Kalyanam Shivkumar
INSTITUTION(S): University of California Los Angeles (UCLA)
FUNDING PROGRAM(S): SPARC
NIH AWARD: OT2OD023848

Cardiovascular diseases such as heart failure, arrhythmias, and hypertension are leading causes of morbidity and mortality in the United States and world-wide. The autonomic nervous system plays a critical role in the pathophysiology of these diseases and neuraxial modulation provides an important avenue for therapeutic intervention. The major goal of our research team is to precisely define the cardiac neural hierarchy and develop circuit diagrams from the macroscopic to cellular and molecular levels and share these data on an ongoing basis with the scientific community. This effort will also provide verified methods and tools for assessing neuromodulation. The research team will make them freely available to the scientific community. A multiscale, multidisciplinary approach across various species, highly relevant to human disease, will be used to define the anatomy of cardiac innervation in high definition. Neural structure will be linked to cardiac function. The complexity of cardiac neural control necessitates an integrative approach that will represent a tour de force in this field. State-of-the-art anatomical, physiological, and pharmacological approaches from `cells to man' must be combined in order to achieve the above goals. This approach will be utilized at each level of the neuraxis (heart, extracardiac intrathoracic neural structures and extrathoracic neural structures). The techniques proposed will allow, for the first time, a detailed description of the anatomical and molecular interactions at the synaptic and cell body levels in cardiac and extracardiac ganglia. The techniques used and the integration of these pathways represents the most innovative attempt to understand cardiac neural control ever undertaken. Understanding these pathways has the potential to accelerate development of therapies that will be able to precisely target neural structures and also guide methods to re-purpose already available therapies (e.g. nerve stimulators) for therapeutic purposes. Ultimately, these approaches are required to develop novel, effective, and affordable interventions for the management and prevention of heart disease and sudden cardiac death.

Associated Content

Comparison of the intrinsic cardiac nervous system across male and female rat hearts
Single neurons were mapped and cardiac anatomy was annotated in image volumes of male and female rat hearts to compare the intrinsic cardiac nervous system between individuals and across sexes.
Functional neuronal nodose recording from pig- Modulation by myocardial ischemia and variably coupled PVC's
Linear micro electrode recordings of in vivo pig nodose ganglia cardiac neurons identified with cardiovascular interventions including ischemia and PVC's to determine effects on vagal afferent neurotransmission.
Neurochemical anatomy of porcine right atrial ganglionated plexus and sinoatrial node
This dataset contains results from IHC analyses of RAGP and nerves in the SAN and right atrium of pig hearts. Neurochemical phenotypes of neurons and nerves were evaluated, and RAGP neurons that innervate the SAN were identified by retrograde labeling.
Innervation of human heart
Evaluation of innervation of the normal human heart.
Sex differences in sympathetic gene expression and cardiac neurochemistry in Wistar Kyoto rats
Characterizes the transcriptome of both male and female stellate ganglia and to correlate that with catecholamine and acetylcholine content in the heart.
Mapping of intrinsic cardiac nervous system (ICN) neurons in a 3D reconstructed rat heart
Single intrinsic cardiac nervous system (ICN) neurons were marked in an image volume of heart sections that was anatomically delineated for the 3D reconstruction of the whole heart with mapped locations of individual ICN neurons.
Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies
Data from the innervation of intact mice hearts and the mapping of parasympathetic and sympathetic neural circuits which control heart rate. This data set identifies the cholinergic and noradrenergic neurons which project to the sinoatrial node.
Regional analysis of autonomic nerves in normal and diseased human hearts
Fixed samples of human atria and ventricles were sectioned and immunostained for neural markers using the ABC method. Specific targets were tyrosine hydroxylase, vesicular ACh transporter, and PGP9.5. Regional nerve densities were quantified using ImageJ.
Sympathetic and parasympathetic effects on action potentials in isolated pig ventricular myocytes
Current clamp recordings of action potential responses to norepinephrine, neuropeptide Y, acetylcholine, and vasoactive intestinal peptide.
Molecular phenotype distribution of single rat intracardiac neurons
Images collected from serial cryostat sectioning of a cryopreserved heart was used to reconstruct the 3D context. Transcriptional profiles taken from isolated single neurons and mapped back into the previously generated 3D context.
Functional recordings from the pig intrinsic cardiac nervous system (ICN)
Pigs monitored for ICN recoding via cardiovascular output monitoring after cervical vagi stimulation.
Functional neuronal nodose recording from pig - Cardiac field chemical and mechanical stimulation
Recordings made form pig nodose ganglion with linear bipolar electrodes. Cardiac stimulation of various files via mechanical-touch- and chemical to determine response type- unipolar or multimodal from neurons residing within nodose ganglion.
Optical mapping of action potentials and calcium transients in the mouse heart during optogenetic stimulation of the intracardiac ganglia and interconnecting neurons (ICNS)
Optical maps describing electrical propagation across the atria and ventricles before and after stimulation of intrinsic cardiac ganglionated plexi in the mouse heart
Cardioneural recordings using floating multi-channel plunge micro-electrodes in pigs
Methodology of neural recordings using array electrodes. How to analyze for signal to noise, spike sorting, and higher-level analysis.
Increased arrhythmia susceptibility in type 2 diabetic mice related to dysregulation of ventricular sympathetic innervation
Partial dataset from published manuscript of same title. Dataset includes intracellular recordings from control and diabetic mouse intrinsic cardiac neurons and stellate ganglion neurons.
Evaluating spheres of influence for efferent neural control of the heart
Evaluating spheres of influence for efferent neural control of the heart In a minipig model, sequential knockdown of cardiac ganglionated plexi (GPs) was performed to cause loss of function.
Ablation of the intrinsic cardiac nervous system to evaluate efferent control of cardiac function
Sequential ablation of ganglionated plexuses of the intrinsic cardiac nervous system demonstrate control of cardiac electrophysiology and hemodynamics. Two different sequences of ablation are used to identify spheres of influence of efferent control.
Sympathetic and parasympathetic effects on membrane currents in isolated pig ventricular myocytes
Patch clamp recording of L-type Ca2+ current and slow delayed rectifier K+ current responses to norepinephrine and acetylcholine.
Transcriptomic and neurochemical analysis of the stellate ganglia in mice highlights sex differences
This dataset contains baseline measurements of mouse stellate ganglia using RNAseq
Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies part (2)
Data from the innervation of intact mice hearts and the mapping of parasympathetic and sympathetic neural circuits which control heart rate. This data set identifies the cholinergic and noradrenergic neurons which project to the sinoatrial node
Sympathetic and parasympathetic effects on subcellular cAMP responses in isolated ventricular myocytes
Measurement of compartmentalized cAMP responses to beta-adrenergic and muscarinic stimulation using FRET-based biosensors.
RNA sequencing reveals novel transcripts from sympathetic stellate ganglia during cardiac sympathetic hyperactivity in rats
Stellate ganglia of 15-16 week old Wistar and Spontaneously Hypertensive Rats were analyzed by: RNA-sequencing, differential analysis, and gene ontology analysis. Data were analyzed by a pipeline consisting of Salmon, DESeq2, and clusterprofiler.
Acquisition of single neurons and regional neuronal samples from the porcine right atrial ganglionic plexus (RAGP) through laser capture microdissection
Transcriptional diversity of single neurons in the porcine RAGP. High throughput qPCR data for over 400 single neurons assayed for hundreds of genes across 4 pig RAGP.
Transcriptional diversity of single neurons in the porcine right atrial ganglionic plexus (RAGP)
Single neurons were collected from 4 different porcine RAGP through laser capture microdissection (LCM) and subjected to HT-qPCR to assay for expression of over 200 genes.
Spatially tracked single-neuron transcriptomics of a male porcine right atrial ganglionic plexus (RAGP)
Single neurons and regional neuronal samples were collected from a male porcine RAGP through laser capture microdissection with preserved spatial tracking.
Spatially tracked single-neuron transcriptomics of a female porcine right atrial ganglionic plexus (RAGP)
Single neurons and regional neuronal samples were collected from a female porcine RAGP through laser capture microdissection with preserved spatial tracking.
Spatially tracked single-cell-scale RNAseq of porcine right atrial ganglionic plexus (RAGP) neurons
Neuronal samples from the porcine RAGP were collected through laser capture microdissection and run through single-cell-scale RNAseq
Spatially tracked single-cell transcriptomics map of neuronal networks in the intrinsic cardiac nervous system
A dataset containing high-resolution figures, supplementary figures, movies and files, as well as the TissueMapper XML annotations and the R code to generate the data-driven plots and visualizations illustrated in Moss et al. 2021