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Chronic infection stunts macrophage heterogeneity and disrupts immune-mediated myogenesis
Richard M. Jin, Jordan Warunek, Elizabeth A. Wohlfert
Richard M. Jin, Jordan Warunek, Elizabeth A. Wohlfert
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Research Article Infectious disease Inflammation

Chronic infection stunts macrophage heterogeneity and disrupts immune-mediated myogenesis

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Abstract

The robust regenerative potential of skeletal muscle is imperative for the maintenance of tissue function across a host of potential insults including exercise, infection, and trauma. The highly coordinated action of multiple immune populations, especially macrophages, plays an indispensable role in guiding this reparative program. However, it remains unclear how skeletal muscle repair proceeds in a chronically inflamed setting, such as infection, where an active immune response is already engaged. To address this question, we used a cardiotoxin injury model to challenge the reparative potential of chronically infected muscle. Compared with regenerating naive skeletal muscle, infected skeletal muscle exhibited multiple indicators of delayed muscle repair including a divergent morphologic response to injury and dysregulated expression of myogenic regulatory factors. Further, using both flow cytometric and single-cell RNA sequencing approaches, we show that reduced macrophage heterogeneity due to delayed emergence of restorative subsets underlies dysfunctional tissue repair during chronic infection. Our findings highlight how the preexisting inflammatory environment within tissue alters reparative immunity and ultimately the quality of tissue regeneration.

Authors

Richard M. Jin, Jordan Warunek, Elizabeth A. Wohlfert

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Figure 5

Identification and characterization of macrophage heterogeneity during tissue repair in uninfected muscle.

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Identification and characterization of macrophage heterogeneity during t...
(A) t-SNE visualization of PCA and unsupervised cluster analysis from uninfected + CTX data set. (B and C) Top 5 terms identified by GO enrichment (B) and KEGG pathway (C) analyses for each cluster were plotted and compared between each cluster. Adjusted P value for each annotation is represented by color scale. Gene ratio is represented by dot size. Enriched terms and pathways were identified as significant at an adjusted P value ≤ 0.01 and FDR ≤ 0.05.

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