A single-nucleus atlas of skeletal muscle regeneration identifies distinct macrophage populations and their cytokine environments 2257143
Abstract
Abstract Introduction Skeletal muscle possesses a remarkable capacity for regeneration, a process tightly regulated by interactions between resident stem cells and the immune system. Following injury, a complex cascade of events is initiated, involving the infiltration of immune cells that clear debris and create a pro-regenerative environment. Among these, macrophages are critical mediators, exhibiting significant plasticity that allows them to switch from a pro-inflammatory to a pro-reparative phenotype. However, the full spectrum of macrophage heterogeneity and their precise communication with muscle cells remains elusive. Methods Here, we present the first single-nucleus RNA sequencing (snRNA-seq) analysis of regenerating skeletal muscle, providing an unprecedented high-resolution view of the nuclear transcriptional landscape during tissue repair. This approach overcomes the limitations of single-cell RNA sequencing (scRNA-seq) by capturing transcripts from multinucleated myofibers and minimizing cellular stress artifacts. Results Our analysis identified three distinct macrophage subpopulations with unique transcriptional and spatial profiles. We uncovered a differential regulation axis linked to CSF-1 and IL-34, where IL-34 is expressed by smooth muscle cells in proximity to resting macrophages in the perimysium and epimysium, while CSF-1 expression is transiently upregulated by fibroblasts during inflammation. Comparative analysis of aged and dystrophic (mdx and BLA/J) mouse models demonstrated a direct correlation between the degree of inflammation, the abundance of macrophage and fibroblast populations, and the expression levels of CSF-1 and IL-34. Conclusion These findings provide novel insights into macrophage heterogeneity in muscle physiology and pathology, suggesting that selectively targeting CSF-1 is a superior strategy for depleting pro-inflammatory macrophages in muscular dystrophies and age-related muscle decline. Funding Source 2021R1I1A3059820 (National Research Foundation of Korea) Topic Categories Computational and Systems Immunology (COMP)
Article Details
Journal Info
The Journal of Immunology
American Association of Immunologists
Authors (4)
Jea-Hyun Baek
Handong Global University
Woo Seok Byun
Handong Global University
Eun-Chong Bang
Handong Global University
Yoon-Gyu Shim
Handong Global University