T-cell activation and fibroblastic BMP4-Gremlin dysregulation indicate disease severity in acute myocarditis
Joachimbauer, A.; Perez-Shibayama, C. I.; Payne, E.; Hanka, I.; Stadler, R.; Papadopoulou, I.; Rickli, H.; Maeder, M. T.; Borst, O.; Zdanyte, M.; Cooper, L.; Flatz, L.; Matter, C. M.; Wilzeck, V. C.; Manka, R.; Saguner, A. M.; Ruschitzka, F.; Schmidt, D.; Ludewig, B.; Gil-Cruz, C. D. C.
Show abstract
Background and AimsAcute myocarditis (AM) is a T cell-mediated myocardial disease with clinical manifestations ranging from mild chest pain to cardiogenic shock. Reliable biomarkers to stratify patients and guide therapy are currently lacking. In particular, the extent of the dysregulation of inflammatory pathways, and the impact on myocardial dysfunction, remain elusive. MethodsSerum analyses were performed in prospectively recruited AM patients (n = 103) from two independent cohorts. Multimodal data integration combining profiling of cytokine and chemokine dysregulation with clinical biomarkers was used to define clinical phenotypes with distinct inflammatory signatures. Machine-learning and regression models were applied to determine biomarkers that indicate clinical severity. ResultsImmuno-proteomic profiling revealed conserved inflammatory patterns across AM cohorts, dominated by T cell-related cytokines and chemokines. In addition, AM patients showed dysregulation of fibroblast-derived cytokines, including hepatocyte growth factor (HGF), bone morphogenic protein 4 (BMP4) and the BMP4 inhibitors Gremlin-1 (GREM1) and Gremlin-2 (GREM2). Data integration and unsupervised clustering revealed two immuno-clinical phenotypes, linking T cell activation and fibroblast dysregulation to disease severity. Machine learning-based analysis identified CXCL10, GREM2 and LVEF as critical parameters for stratifying disease severity. ConclusionsThese findings highlight a systemic T cell activation signature as diagnostic hallmark of AM. In addition, dysregulation of fibroblast-derived tissue cytokines serves as an indicator for distinct immuno-clinical phenotypes in myocardial inflammatory disease. Thus, the clinically relevant link between T cell-driven immune activation, myocardial inflammation and fibroblast-driven remodelling provides a versatile set of parameters to identify severe manifestations of AM. Graphical AbstractKey Question: Are serological immune signatures linked to clinical severity in acute myocarditis and do they enable patient stratification? Key Findings: T cell- and fibroblast associated proteomic signatures indicate disease severity in acute myocarditis. Novel immuno-clinical phenotypes stratify patients according to distinct immune responses and clinical manifestations. CXCL10, GREM2 and LVEF are the most important parameters to identify immuno-clinical phenotypes. Take Home Message: CXCL10, GREM2 and LVEF emerge as key determinants for a severe immuno-clinical phenotype in acute myocarditis, highlighting the role of T cell-fibroblast interaction in the disease process and linking T cell activation, fibroblastic tissue remodelling and impaired cardiac function. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/26350598v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@362a7borg.highwire.dtl.DTLVardef@1ef158org.highwire.dtl.DTLVardef@176fbc2org.highwire.dtl.DTLVardef@8a93d9_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- CD206 + IL-4Rα + MACROPHAGES ARE DRIVERS OF ADVERSE CARDIAC REMODELING IN ISCHEMIC CARDIOMYOPATHY 96%
- Splenic CD169 + Tim4 + Marginal Metallophilic Macrophages Are Essential for Wound Healing After Myocardial Infarction 95%
- Defective Desmosomal Adhesion Causes Arrhythmogenic Cardiomyopathy by involving an Integrin-αVβ6/TGF-β Signaling Cascade 95%
Similar papers in this journal
- Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction 95%
- Glucocorticoid Receptor ablation promotes cardiac regeneration by hampering cardiomyocyte terminal differentiation 95%
- Targeted glycophagy ATG8 therapy reverses diabetic heart disease in mice and in human engineered cardiac tissues 94%
Similar papers in this journal
- 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%
- Reproducing extracellular matrix adverse remodelling of non-ST myocardialinfarction in a large animal model 94%
Similar papers in this journal
- Sodium-myo-inositol cotransporter-1, SMIT1, promotes cardiac hypertrophy and fibrosis induced by pressure overload in mice 95%
- Integrated Proteomics Identifies Troponin I Isoform Switch as a Regulator of a Sarcomere-Metabolism Axis During Cardiac Regeneration 94%
- FAM210A Regulates Mitochondrial Translation and Maintains Cardiac Mitochondrial Homeostasis 94%
Similar papers in this journal
- Deciphering human heart failure with preserved ejection fraction (HFpEF) at single cell resolution 95%
- Endocardial/endothelial angiocrines regulate cardiomyocyte development and maturation and induce features of ventricular non-compaction 94%
- Cardiac impairment in Long Covid 1-year post-SARS-CoV-2 infection 93%
"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.