Key result
Single-cell and spatial transcriptomics reveal cellular heterogeneity within the intrinsic cardiac nervous system.
Why the study?
The precise pathophysiological basis of intrinsic cardiac nervous system involvement in cardiovascular disease remains poorly understood, as bulk RNA sequencing fails to capture cellular heterogeneity.
Single-cell and spatial transcriptomics provide unprecedented resolution of the intrinsic cardiac nervous system, offering new insights into neuro-cardiac interactions and potential therapeutic targets for cardiovascular diseases.
ICNS imbalance may drive MI, HF, AF, and hypertension; leaves open targeted neuromodulation pending mechanistic trials.
The intrinsic cardiac nervous system (ICNS), composed of sympathetic, parasympathetic, and sensory neurons embedded within the heart, plays a pivotal role in regulating cardiac electrophysiology and contractility. Functional imbalance within this network represents a central mechanism driving myocardial infarction, heart failure (HF), atrial fibrillation (AF), and hypertension. Despite decades of investigation, the precise pathophysiological basis of ICNS involvement in cardiovascular disease remains poorly understood. Traditional bulk RNA sequencing, which measures averaged gene expression across pooled cells, fails to capture the cellular heterogeneity of ICNS, particularly rare neuronal and glial subpopulations. Consequently, critical regulatory pathways have been obscured. Single-cell RNA sequencing (scRNA-seq) has overcome this limitation by enabling transcriptional profiling at single-cell resolution. This breakthrough has refined cellular taxonomy within the ICNS and revealed dynamic molecular networks that underlie heart-neural interactions. This review summarizes technological breakthroughs in single-cell isolation, lineage tracing, and spatial transcriptomics, and highlights key discoveries including the identification of cardiac nexus glia (CNG), arrhythmogenic neuron subtypes, and neuroimmune interactions in cardiovascular diseases. We also discuss existing methodological bottlenecks and current challenges in data integration, species translation, and clinical application, and future research goals that could bridge the gap between molecular insight and therapeutic application.
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Zheng et al. (2026) conducted a review in Cardiovascular disease. Single-cell transcriptomics was evaluated. Single-cell and spatial transcriptomics have revealed the cellular heterogeneity and dynamic molecular networks of the intrinsic cardiac nervous system, providing new insights into neuro-cardiac interactions.
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