Tissue transcriptomics of endomyocardial biopsies reveals widespread molecular perturbations independent of leukocyte-rich foci in human myocarditis
Cohen, C. D.; He, J. H.; Bermea, K. C.; Rousseau, S. T.; Luo, A.; Ebenebe, O. V. D.; Casella, K.; Palescandolo, E.; Lavine, K. J.; Shenderov, E.; Halushka, M.; Adamo, L.
Show abstract
BackgroundMyocarditis is an inflammatory disease of the myocardium, classically defined and graded by histologic criteria that emphasize immune infiltrates and focal cardiomyocyte injury. The broader transcriptional landscape and intercellular signaling networks underlying human myocarditis, particularly among non-immune cells, remain poorly understood. MethodsWe performed integrated spatial transcriptomic profiling of 38 endomyocardial biopsy (EMBx) specimens using two complementary platforms: 10X Visium FFPE and GeoMx Digital Spatial Profiling (DSP). The cohort included cases of histologically confirmed myocarditis, borderline myocarditis, and controls. For 10X Visium, data was refined by excluding leukocyte-enriched spots and enriching for cardiomyocyte-specific regions based on canonical marker expression. For GeoMx, immunohistochemistry-guided segmentation enabled targeted transcriptomic analysis of disparate cardiac cellular compartments. Differential gene expression was analyzed independently for each platform and subsequently integrated. These results were further leveraged to infer molecular interaction networks and ligand-receptor relationships in myocarditis relative to controls. ResultsBoth platforms revealed widespread gene expression changes consistent with immune activation in myocarditis and borderline myocarditis, particularly within cardiomyocyte-enriched regions. These included upregulation of HLA-A, HLA-DQA1, B2M, and CD74 in myocarditis, consistent with activation of major histocompatibility complex (MHC) class I and II related pathways. Molecular interaction analysis identified STAT1 and ISG15 as likely central immune signaling nodes. Ligand-receptor inference highlighted HLA-A, HLA-E, and HLA-DQA1 as key receptor hubs interacting with immune ligands such as IFNG, CD8A, and several members of the (NK) killer-cell immunoglobulin-like receptor (KIR) family. ConclusionsOur findings demonstrate that human myocarditis is characterized by widespread transcriptional dysregulation beyond immune cell foci, including upregulation of genes typically associated with professional antigen-presenting cells in cardiomyocytes. These insights extend our current understanding of myocarditis pathophysiology and suggest new opportunities for its diagnosis and therapeutic targeting.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction 94%
- A common gene signature of the right ventricle in failing rat and human hearts 94%
- Glucocorticoid Receptor ablation promotes cardiac regeneration by hampering cardiomyocyte terminal differentiation 94%
Similar papers in this journal
- Neutrophils Are Indispensable For Adverse Cardiac Remodeling In Heart Failure 94%
- Prolonged β-Adrenergic Stimulation Disperses Ryanodine Receptor Clusters in Cardiomyocytes: Implications for Heart Failure 94%
- dATP Elevation Induces Myocardial Metabolic Remodeling to Support Improved Cardiac Function 94%
Similar papers in this journal
Similar papers in this journal
- Single-cell transcriptome analysis reveals CD34 as a novel marker of human sinoatrial node pacemaker cardiomyocytes 95%
- Ezh2 as an epigenetic checkpoint regulator during monocyte differentiation: a potential target to improve cardiac repair after myocardial infarction 95%
- Modeling cardiac fibroblast heterogeneity from human pluripotent stem cell-derived epicardial cells 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.