Spatiotemporal dynamics of macrophage heterogeneity and a potential function of Trem2 hi macrophages in infarcted hearts.
Seung Hyun JungByung-Hee HwangSun ShinEun-Hye ParkSin-Hee ParkChan Woo KimEunmin KimEunho ChooIk Jun ChoiFilip K SwirskiKiyuk ChangYeun-Jung ChungPublished in: Nature communications (2022)
Heart failure (HF) is a frequent consequence of myocardial infarction (MI). Identification of the precise, time-dependent composition of inflammatory cells may provide clues for the establishment of new biomarkers and therapeutic approaches targeting post-MI HF. Here, we investigate the spatiotemporal dynamics of MI-associated immune cells in a mouse model of MI using spatial transcriptomics and single-cell RNA-sequencing (scRNA-seq). We identify twelve major immune cell populations; their proportions dynamically change after MI. Macrophages are the most abundant population at all-time points (>60%), except for day 1 post-MI. Trajectory inference analysis shows upregulation of Trem2 expression in macrophages during the late phase post-MI. In vivo injection of soluble Trem2 leads to significant functional and structural improvements in infarcted hearts. Our data contribute to a better understanding of MI-driven immune responses and further investigation to determine the regulatory factors of the Trem2 signaling pathway will aid the development of novel therapeutic strategies for post-MI HF.
Keyphrases
- single cell
- heart failure
- rna seq
- signaling pathway
- immune response
- mouse model
- high throughput
- induced apoptosis
- poor prognosis
- acute heart failure
- oxidative stress
- adipose tissue
- atrial fibrillation
- gene expression
- electronic health record
- toll like receptor
- long non coding rna
- machine learning
- dna methylation
- endoplasmic reticulum stress
- dendritic cells
- artificial intelligence
- ultrasound guided
- cell cycle arrest
- genetic diversity