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The histone methyltransferase Mixed-lineage-leukemia-1 drives T cell phenotype via Notch signaling in diabetic tissue repair
William J. Melvin, … , Frank M. Davis, Katherine A. Gallagher
William J. Melvin, … , Frank M. Davis, Katherine A. Gallagher
Published September 9, 2024
Citation Information: JCI Insight. 2024;9(19):e179012. https://doi.org/10.1172/jci.insight.179012.
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Research Article Immunology

The histone methyltransferase Mixed-lineage-leukemia-1 drives T cell phenotype via Notch signaling in diabetic tissue repair

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Abstract

Immune cell–mediated inflammation is important in normal tissue regeneration but can be pathologic in diabetic wounds. Limited literature exists on the role of CD4+ T cells in normal or diabetic wound repair; however, the imbalance of CD4+ Th17/Tregs has been found to promote inflammation in other diabetic tissues. Here, using human tissue and murine transgenic models, we identified that the histone methyltransferase Mixed-lineage-leukemia-1 (MLL1) directly regulates the Th17 transcription factor RORγ via an H3K4me3 mechanism and increases expression of Notch receptors and downstream Notch signaling. Furthermore, we found that Notch receptor signaling regulates CD4+ Th cell differentiation and is critical for normal wound repair, and loss of upstream Notch pathway mediators or receptors in CD4+ T cells resulted in the loss of CD4+ Th cell differentiation in wounds. In diabetes, MLL1 and Notch-receptor signaling was upregulated in wound CD4+ Th cells, driving CD4+ T cells toward the Th17 cell phenotype. Treatment of diabetic wound CD4+ T cells with a small molecule inhibitor of MLL1 (MI-2) yielded a significant reduction in CD4+ Th17 cells and IL-17A. This is the first study to our knowledge to identify the MLL1-mediated mechanisms responsible for regulating the Th17/Treg balance in normal and diabetic wounds and to define the complex role of Notch signaling in CD4+ T cells in wounds, where increased or decreased Notch signaling both result in pathologic wound repair. Therapeutic targeting of MLL1 in diabetic CD4+ Th cells may decrease pathologic inflammation through regulation of CD4+ T cell differentiation.

Authors

William J. Melvin, Tyler M. Bauer, Kevin D. Mangum, Christopher O. Audu, James Shadiow, Emily C. Barrett, Amrita D. Joshi, Jadie Y. Moon, Rachael Bogle, Purba Mazumder, Sonya J. Wolf, Steven L. Kunke, Johann E. Gudjonsson, Frank M. Davis, Katherine A. Gallagher

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Figure 4

MLL1 in wound CD4+ Th cells regulates Notch1 and Notch2 receptor expression and downstream Notch signaling.

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MLL1 in wound CD4+ Th cells regulates Notch1 and Notch2 receptor express...
(A) Analytical flow cytometry of wound cell suspensions 7 days after wounding between investigating Notch1 and Notch2 expression from mice with CD4+ Th cell–specific Mll1-deficient mice (Mll1fl/fl CD4cre+) and littermate controls, (n = 6 mice/group, run in triplicate). (B) Notch1 and Notch2 expression in wound CD4+ Th cells 7 days after wounding between CD4+ Th cell–specific Mll1 deficient mice (Mll1fl/fl CD4cre+) and littermate controls (n = 6 mice/group, run in triplicate). (C) Hey1 expression in wound CD4+ Th cells 7 days after wounding between CD4+ Th cell–specific Mll1-deficient mice (Mll1fl/fl CD4cre+) and littermate controls (n = 6 mice/group, run in triplicate). (D) ChIP analysis of H3K4me3 on the promoters of Notch1 and Notch2 in CD4+ Th cells isolated from Mll1fl/fl CD4cre+ and littermate controls 3 days after wounding (n = 4 mice/group, run in triplicate). (E) Wound healing curve for mice (n = 12) with loss of Mll1 in CD4+ Th cells (Mll1fl/fl CD4cre+) compared with littermate controls (n = 10). (F) Analytical flow cytometry of wound cell suspensions 7 days after wounding between mice with CD4+ Th cell–specific Mll1-deficient mice (Mll1fl/fl CD4cre+) (n = 3) and littermate controls (n = 4). Tregs identified as Lin–/CD3+/CD4+/CD25+/CD127–/FoxP3+, and TH17 cells identified as Lin–/CD3+/CD4+/RORγ+. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. Data are presented as the mean ± SEM. All data are representative of 2–4 independent experiments. Data were first analyzed for normal distribution, and if data passed the normality test, 2-tailed Student’s t test was used. E was analyzed with 2-way ANOVA.

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