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Chromatin Remodeling and Transcriptional Silencing Define the Dynamic Innate Immune Response of Tissue Resident Macrophages After Burn Injury.

Kim, H. G.; Gauthier, M.-P. L.; Higgs, A.; Hernandez, D. A.; Zhou, M.; Brant, J. O.; Bacher, R. L.; Darden, D. B.; Wallet, S. M.; Mathews, C. E.; efron, P. A.; Kladde, M. P.; Maile, R.

2025-05-20 immunology
10.1101/2025.05.15.654340 bioRxiv
Show abstract

Severe burn injury induces long-lasting immune dysfunction, but the molecular mechanisms underlying this phenomenon remain unclear. We hypothesized that burn injury leads to epigenetic and transcriptional reprogramming of innate immune cells. Splenic F4/80 macrophages were isolated from mice at days 2, 9, and 14 days post-20% contact burn injury. Targeted transcriptomics and MAPit single-molecule chromatin profiling were used to assess immune, metabolic, and epigenetic changes. Canonical pathway analysis was performed to infer functional shifts over time. Burn injury induced a biphasic response in macrophages. Early after injury (Day 2), there was broad transcriptional suppression and epigenetic silencing of inflammatory regulators, including Stat3, Traf6, and Nfkb1. Over time (Days 9 and 14), loci associated with anti-inflammatory mediators such as Il-10 and Socs3 exhibited progressive chromatin opening and transcriptional upregulation. Metabolic gene profiles revealed persistent suppression of mitochondrial and oxidative phosphorylation programs. Canonical pathway analysis demonstrated early IL-10 signaling activation with sustained suppression of classical macrophage activation pathways. Chromatin architecture changes included nucleosome sliding and ejection events, consistent with dynamic, locus-specific regulation. This work challenges the classical notion of burn-induced immune suppression as purely a consequence of systemic inflammation. Instead, we reveal a programmed and locus-specific epigenetic architecture that may shape macrophage immune and metabolic function long after the acute phase.

Published in Shock · not in our set (fewer than 10 published preprints to learn from) · training set

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