Journal ArticleDOI
Resolving the intertwining of inflammation and fibrosis in human heart failure at single-cell level
Man Rao,Xiliang Wang,Guang‐ran Guo,Guang‐ran Guo,Li Wang,Shi Chen,Pengbin Yin,Kai Chen,Liang Chen,Zemin Zhang,Xiao Chen,Xueda Hu,Shengshou Hu,Jiangping Song +13 more
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TLDR
In this article, the authors performed single-cell RNA sequencing and single T cell receptor sequencing of 200,615 cells in both human dilated cardiomyopathy (DCM) and ischemic cardiopathy (ICM) hearts.Abstract:
Inflammation and fibrosis are intertwined mechanisms fundamentally involved in heart failure. Detailed deciphering gene expression perturbations and cell-cell interactions of leukocytes and non-myocytes is required to understand cell-type-specific pathology in the failing human myocardium. To this end, we performed single-cell RNA sequencing and single T cell receptor sequencing of 200,615 cells in both human dilated cardiomyopathy (DCM) and ischemic cardiomyopathy (ICM) hearts. We sampled both lesion and mild-lesion tissues from each heart to sequentially capture cellular and molecular alterations to different extents of cardiac fibrosis. By which, left (lesion) and right ventricle (mild-lesion) for DCM hearts were harvest while infarcted (lesion) and non-infarcted area (mild-lesion) were dissected from ICM hearts. A novel transcription factor AEBP1 was identified as a crucial cardiac fibrosis regulator in ACTA2+ myofibroblasts. Within fibrotic myocardium, an infiltration of a considerable number of leukocytes was witnessed, especially cytotoxic and exhausted CD8+ T cells and pro-inflammatory CD4+ T cells. Furthermore, a subset of tissue-resident macrophage, CXCL8hiCCR2+HLA-DRhi macrophage was particularly identified in severely fibrotic area, which interacted with activated endothelial cell via DARC, that potentially facilitate leukocyte recruitment and infiltration in human heart failure.read more
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Wound healing, fibroblast heterogeneity, and fibrosis.
TL;DR: Fibroblasts are highly dynamic cells that play a central role in tissue repair and fibrosis, and the mechanisms by which they contribute to both physiologic and pathologic states of extracellular matrix deposition and remodeling are just starting to be understood as mentioned in this paper .
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Mapping the cardiac vascular niche in heart failure
Fabian Peisker,Maurice Halder,James Shiniti Nagai,Susanne Ziegler,Nadine Kaesler,Konrad Hoeft,Ronghui Li,Eric M.J. Bindels,Christoph Kuppe,Julia Moellmann,Michael Lehrke,Christian Stoppe,Michael T. Schaub,Rebekka K. Schneider,Ivan G. Costa,Rafael Kramann +15 more
TL;DR: In this paper , the authors used combined genetic fate tracing with confocal imaging and single-cell RNA sequencing to unravel cell type specific transcriptomic changes in fibroblast, endothelial, pericyte and vascular smooth muscle cell subtypes.
Journal ArticleDOI
Dynamics of monocyte-derived macrophage diversity in experimental myocardial infarction
Giuseppe Rizzo,Julius Gropper,Marie Piollet,Ehsan Vafadarnejad,A. Rizakou,Sourish Reddy Bandi,Panagiota Arampatzi,Tobias Krammer,Nina DiFabion,Oliver Dietrich,Anahi-Paula Arias-Loza,Marco Prinz,Matthias Mack,Kai Schlepckow,Christian Haass,Jean-Sébastien Silvestre,Alma Zernecke,Antoine-Emmanuel Saliba,Clément Cochain +18 more
TL;DR: In this article , the authors performed single-cell transcriptomic and cell-surface marker profiling of circulating and cardiac immune cells in mice challenged with acute myocardial infarction, and integrated singlecell transcriptomes obtained before and at 1, 3, 5, 7, and 11 days after infarctions.
Journal ArticleDOI
Single-cell transcriptome atlas of the human corpus cavernosum
Liangyu Zhao,Sha Han,Hengchuan Su,JianYing Li,Erlei Zhi,Peng Li,Chencheng Yao,Ruhui Tian,Huixing Chen,JiaQiang Luo,Chenkun Shi,Zhiyong Ji,Jian-lin Hu,Gang Wu,Weidong Zhou,Yuxin Tang,Yuzhuo Chen,Guiting Lin,Tom F. Lue,Denglong Wu,Zheng Li +20 more
TL;DR: In this article , the authors profile 64,993 human cavernosal single-cell transcriptomes from three males with normal erection and five organic erectile dysfunction patients and reveal the cellular heterogeneity and describe a detailed spatial distribution map for each fibroblast, smooth muscle and endothelial subcluster in the corpus cavernosum.
Journal ArticleDOI
A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features
TL;DR: In this article , a deep learning framework, HFmeRisk, using both 5 clinical features and 25 DNA methylation loci to predict the early risk of chronic heart failure in the Framingham Heart Study Cohort was developed.
References
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