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Systems genetics identifies a macrophage cholesterol network associated with physiological wound healing
Marta Bagnati, Aida Moreno-Moral, Jeong-Hun Ko, Jérôme Nicod, Nathan Harmston, Martha Imprialou, Laurence Game, Jesus Gil, Enrico Petretto, Jacques Behmoaras
Marta Bagnati, Aida Moreno-Moral, Jeong-Hun Ko, Jérôme Nicod, Nathan Harmston, Martha Imprialou, Laurence Game, Jesus Gil, Enrico Petretto, Jacques Behmoaras
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Research Article Dermatology Inflammation

Systems genetics identifies a macrophage cholesterol network associated with physiological wound healing

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Abstract

Among other cells, macrophages regulate the inflammatory and reparative phases during wound healing but genetic determinants and detailed molecular pathways that modulate these processes are not fully elucidated. Here, we took advantage of normal variation in wound healing in 1,378 genetically outbred mice, and carried out macrophage RNA-sequencing profiling of mice with extreme wound healing phenotypes (i.e., slow and fast healers, n = 146 in total). The resulting macrophage coexpression networks were genetically mapped and led to the identification of a unique module under strong trans-acting genetic control by the Runx2 locus. This macrophage-mediated healing network was specifically enriched for cholesterol and fatty acid biosynthetic processes. Pharmacological blockage of fatty acid synthesis with cerulenin resulted in delayed wound healing in vivo, and increased macrophage infiltration in the wounded skin, suggesting the persistence of an unresolved inflammation. We show how naturally occurring sequence variation controls transcriptional networks in macrophages, which in turn regulate specific metabolic pathways that could be targeted in wound healing.

Authors

Marta Bagnati, Aida Moreno-Moral, Jeong-Hun Ko, Jérôme Nicod, Nathan Harmston, Martha Imprialou, Laurence Game, Jesus Gil, Enrico Petretto, Jacques Behmoaras

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Figure 3

The macrophage-mediated healing network is enriched for cholesterol/lipid biosynthesis and is partly controlled by Runx2 activity.

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The macrophage-mediated healing network is enriched for cholesterol/lipi...
(A) Overview of coexpression module M30 (MMHN). Top left: Gene Ontology (GO) functional enrichment of genes in MMHN (177 genes). Network graph with the genes (nodes) in the MMHN that have any known protein-protein, coexpression, and database interactions (edges) in the STRING protein database (67). Node size represents the degree of probability of association for each gene to the regulatory SNP chr17_45131552 (computed by Bayesian multivariate mapping). Genes with a predicted RUNX2 transcription factor binding site (TFBS) in their promoter are shown with a yellow border. Genes annotated with the GO functional term “lipid biosynthetic process” are presented in green. Runx2 (trans regulator) is colored in orange. See supplemental methods for additional details. (B) Genes whose expression levels correlate with Runx2 also correlate with the rate of healing. Spearman’s correlation of the expression level of each gene in the MMHN with Runx2 expression levels (normalized variance-stabilized counts), against the correlation between the expression levels of each gene in the MMHN and the rate of healing (ρ = 0.74, P = 1.04–31, n = 146 mice). (C and D) qRT-PCR results of a subset of MMHN genes showing positive and negative correlation with Runx2, respectively, following Runx2 blockage with CADD522 (20 μM) in mouse BMDMs. Data are expressed as mean ± SEM (n = 4). *P < 0.05, **P < 0.01, ***P < 0.005, ****P < 0.001 by 2-tailed Student’s t test.

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