Abstract 4369174: Spatial Multi-omics Profiling of Coronary Microvascular Dysfunction in Hypertrophic Cardiomyopathy

Background: Hypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy and diastolic dysfunction. Coronary microvascular dysfunction (CMVD) occurs in most HCM patients without epicardial stenosis, potentially causing ischemia, fibrosis, and adverse outcomes. While imaging shows reduced perfusion reserve and arteriolar remodeling, the cellular mechanisms remain unclear. We applied spatial multi-omics in an HCM mouse model to identify key cellular subpopulations and regulatory networks underlying CMVD. Methods: Coronary microvascular function was evaluated in Myh6 R404Q/WT mice. Coronary flow reserve (CFR) was measured via Doppler blood flow. Myocardial microvascular density was quantitatively assessed using heart tissue clearing. Myocardial samples were analyzed by single-nucleus RNA sequencing (snRNA-seq) and Stereo-seq spatial transcriptomics. Results: Echocardiography and cardiac magnetic resonance results showed that Myh6 R404Q/WT mice had significant myocardial hypertrophy and diastolic dysfunction. Meanwhile, we measured the coronary blood flow velocity under resting and drug-loaded conditions based on Doppler blood flow and calculated the CFR. It was found that the CFR in Myh6 R404Q/WT mice was significantly decreased compared with that in the control group (Figure 1A-B). In addition, we quantitatively evaluated the myocardial microvascular density by combining heart tissue clearing and machine learning. The results showed that the microvascular density in Myh6 R404Q/WT mice was significantly lower than that in the control group (Figure 1C-D). Stereo-seq analysis (50x50 DNB bins/cell bins) revealed significantly reduced endothelial cell proportion, confirming severe CMVD. Atrial myocyte proportion increased, likely due to compensatory atrial dilation from ventricular dysfunction (Figure 2A-C). snRNA-seq showed 1610 differentially expressed genes (DEGs) in endothelial cells (HCM vs. CON; Figure 2D). GSEA indicated DEG enrichment in epithelial-mesenchymal transition, NF-κB signaling, apoptosis, and angiogenesis (Figure 2E), suggesting pathway involvement in HCM-related CMVD. Conclusions: In summary, our experimental results verified the presence of severe CMVD in Myh6 R404Q/WT mice. snRNA-seq and Stereo-seq preliminarily revealed potential regulatory mechanisms of HCM-related CMVD. Future work will deeply analyze multi-omics data to screen molecular targets and perform causal verification in HCM heart organoids.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4369174
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 4369174: Spatial Multi-omics Profiling of Coronary Microvascular Dysfunction in Hypertrophic Cardiomyopathy

Yongqiang Lai, Xiaodong Luan, Tong Tan, Yuanqiang Zhang et al.
Circulation
Single-cell and spatial transcriptomics
article

Abstract 4369174: Spatial Multi-omics Profiling of Coronary Microvascular Dysfunction in Hypertrophic Cardiomyopathy

Yongqiang Lai, Xiaodong Luan, Tong Tan, Yuanqiang Zhang, Qike Li, Ye Jin
article en

Abstract

Background: Hypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy and diastolic dysfunction. Coronary microvascular dysfunction (CMVD) occurs in most HCM patients without epicardial stenosis, potentially causing ischemia, fibrosis, and adverse outcomes. While imaging shows reduced perfusion reserve and arteriolar remodeling, the cellular mechanisms remain unclear. We applied spatial multi-omics in an HCM mouse model to identify key cellular subpopulations and regulatory networks underlying CMVD. Methods: Coronary microvascular function was evaluated in Myh6 R404Q/WT mice. Coronary flow reserve (CFR) was measured via Doppler blood flow. Myocardial microvascular density was quantitatively assessed using heart tissue clearing. Myocardial samples were analyzed by single-nucleus RNA sequencing (snRNA-seq) and Stereo-seq spatial transcriptomics. Results: Echocardiography and cardiac magnetic resonance results showed that Myh6 R404Q/WT mice had significant myocardial hypertrophy and diastolic dysfunction. Meanwhile, we measured the coronary blood flow velocity under resting and drug-loaded conditions based on Doppler blood flow and calculated the CFR. It was found that the CFR in Myh6 R404Q/WT mice was significantly decreased compared with that in the control group (Figure 1A-B). In addition, we quantitatively evaluated the myocardial microvascular density by combining heart tissue clearing and machine learning. The results showed that the microvascular density in Myh6 R404Q/WT mice was significantly lower than that in the control group (Figure 1C-D). Stereo-seq analysis (50x50 DNB bins/cell bins) revealed significantly reduced endothelial cell proportion, confirming severe CMVD. Atrial myocyte proportion increased, likely due to compensatory atrial dilation from ventricular dysfunction (Figure 2A-C). snRNA-seq showed 1610 differentially expressed genes (DEGs) in endothelial cells (HCM vs. CON; Figure 2D). GSEA indicated DEG enrichment in epithelial-mesenchymal transition, NF-κB signaling, apoptosis, and angiogenesis (Figure 2E), suggesting pathway involvement in HCM-related CMVD. Conclusions: In summary, our experimental results verified the presence of severe CMVD in Myh6 R404Q/WT mice. snRNA-seq and Stereo-seq preliminarily revealed potential regulatory mechanisms of HCM-related CMVD. Future work will deeply analyze multi-omics data to screen molecular targets and perform causal verification in HCM heart organoids.

CirculationVol. 152(Suppl_3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Beijing Anzhen Hospital (CN)
Openalex Percentile: Top 71%
Single-cell and spatial transcriptomics
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