A cross-study transcriptional patient map of heart failure defines conserved multicellular coordination in cardiac remodeling
Lanzer, J. D.; Ramirez Flores, R. O.; Linares Blanco, J.; Saez-Rodriguez, J.
Show abstract
Heart failure (HF) is characterized by severely reduced cardiac function and tissue remodeling, driven by complex multicellular regulatory processes. Extensive studies have generated molecular profiles at both bulk and single-cell levels; however, systematic integration that describes tissue-wide changes as a function of cell type coordination remains challenging. This disconnect hampers our understanding of the complex multicellular interactions driving heart failure, limiting our ability to translate molecular insights into actionable therapeutic strategies. Here, we integrated bulk and single-cell transcriptional profiles from cardiac tissues of HF and control patients across 25 studies, covering 1,524 individuals and seven cell-types, to delineate consensus multicellular transcriptional changes associated with cardiac remodeling. Our analyses revealed conserved cellular coordination events involving fibrotic, metabolic, inflammatory, and hypertrophic mechanisms, with fibroblasts playing a central role in predicting cardiomyocyte stress. Further analysis of fibroblast populations suggested that their activation in HF represents a broad phenotypic shift rather than solely accumulating distinct cell states. The integration of bulk and single-cell data within our data collection indicated that transcriptional responses to HF across cell types occur independently of tissue composition. Mapping independent data into our consensus programs demonstrated that recovery after left ventricular assist device implantation aligns with molecular recovery, highlighting the clinical relevance of the multicellular molecular state. Overall, our work synthesizes independent cardiac transcriptomics studies and makes the conserved HF associated insights available, establishing a reference for detailed exploration of HF-related multicellular molecular events. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/621815v2_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@1b6fa5borg.highwire.dtl.DTLVardef@1ee9853org.highwire.dtl.DTLVardef@152a259org.highwire.dtl.DTLVardef@209640_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genome-wide association analysis and Mendelian randomization proteomics identify novel protein biomarkers and drug targets for primary prevention of heart failure 97%
- Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease 96%
- Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk 95%
Similar papers in this journal
- Conserved epigenetic regulatory logic infers genes governing cell identity 94%
- Circuit to target approach defines an autocrine myofibroblast loop that drives cardiac fibrosis 94%
- Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes 93%
Similar papers in this journal
Similar papers in this journal
- The EMT transcription factor Snai1 maintains myocardial wall integrity by repressing intermediate filament gene expression 93%
- CHD-associated enhancers shape human cardiomyocyte lineage commitment 93%
- Contraction-induced endocardial id2b plays a dual role in regulating myocardial contractility and valve formation 93%
Similar papers in this journal
- BRD4 Interacts with GATA4 to Govern Mitochondrial Homeostasis in Adult Cardiomyocytes 96%
- Sequential defects in cardiac lineage commitment and maturation cause hypoplastic left heart syndrome 95%
- Genes of the fatty acid oxidation pathway are upregulated in female as compared to male cardiomyocytes 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.