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Thrombopoietin mimetic reduces mouse lung inflammation and fibrosis after radiation by attenuating activated endothelial phenotypes
Jeb English, Sriya Dhanikonda, Kathryn E. Tanaka, Wade Koba, Gary Eichenbaum, Weng-Lang Yang, Chandan Guha
Jeb English, Sriya Dhanikonda, Kathryn E. Tanaka, Wade Koba, Gary Eichenbaum, Weng-Lang Yang, Chandan Guha
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Research Article Pulmonology Therapeutics

Thrombopoietin mimetic reduces mouse lung inflammation and fibrosis after radiation by attenuating activated endothelial phenotypes

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Abstract

Radiation-induced lung injury (RILI) initiates radiation pneumonitis and progresses to fibrosis as the main side effect experienced by patients with lung cancer treated with radiotherapy. There is no effective drug for RILI. Sustained vascular activation is a major contributor to the establishment of chronic disease. Here, using a whole thoracic irradiation (WTI) mouse model, we investigated the mechanisms and effectiveness of thrombopoietin mimetic (TPOm) for preventing RILI. We demonstrated that administering TPOm 24 hours before irradiation decreased histologic lung injury score, apoptosis, vascular permeability, expression of proinflammatory cytokines, and neutrophil infiltration in the lungs of mice 2 weeks after WTI. We described the expression of c-MPL, a TPO receptor, in mouse primary pulmonary microvascular endothelial cells, showing that TPOm reduced endothelial cell–neutrophil adhesion by inhibiting ICAM-1 expression. Seven months after WTI, TPOm-treated lung exhibited less collagen deposition and expression of MMP-9, TIMP-1, IL-6, TGF-β, and p21. Moreover, TPOm improved lung vascular structure, lung density, and respiration rate, leading to a prolonged survival time after WTI. Single-cell RNA sequencing analysis of lungs 2 weeks after WTI revealed that TPOm shifted populations of capillary endothelial cells toward a less activated and more homeostatic phenotype. Taken together, TPOm is protective for RILI by inhibiting endothelial cell activation.

Authors

Jeb English, Sriya Dhanikonda, Kathryn E. Tanaka, Wade Koba, Gary Eichenbaum, Weng-Lang Yang, Chandan Guha

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Figure 8

Effect of TPOm on radiation-induced phenotypic changes of capillary endothelial cells in lungs of mice 2 weeks after WTI.

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Effect of TPOm on radiation-induced phenotypic changes of capillary endo...
C57BL/6J mice were treated with PBS (Vehicle) or TPOm 24 hours before 16 Gy WTI. Lungs of naive and WTI mice were harvested 2 weeks after WTI, and nonhematopoietic lung cells (CD45-) were isolated for scRNA-Seq analysis. (A) 2D UMAP projection of 12,238 individual lung cells isolated across treatment groups. Arterial_EC, arterial EC; Venous_EC, venous EC; Col13+Fibroblast collagen type 13+ fibroblasts; CAP_EC, capillary EC; Col14+Fibroblast, collagen type 14+ fibroblasts; AT2, alveolar type 2 cells; AT1, alveolar type 1 cells; MSC1, mesenchymal stromal cells 1; MSC2, mesenchymal stromal cells 2. (B) 2D UMAP projection of 1,287 lung capillary ECs (CapECs). Different colors denote different clusters: CapEC1, CapEC2, CapEC3, and CapEC4. (C) Heatmap of the most differentially expressed genes in each CapEC cluster. Color bars represent gene expression in log2 scale. (D) Enriched biological processes based on Gene Ontology analysis and enriched genes found in each cluster. P values are indicated to the right of each enriched term found in that particular cluster. (E) 2D UMAP projection of CapECs split among naive, vehicle-, and TPOm-treated lung cells. Each cluster’s distribution by percentage is iterated by treatment condition. (F and G) Biological process (F) upregulated and (G) downregulated in TPOm vs. vehicle. Length of bar coordinates with –log10 P value. (H) Volcano plot of differentially expressed genes of TPOm-treated vs. vehicle-treated cells. (I) Violin plots of Hspa1a and Hspa1b across each treatment condition. (J) Representative Western blot images of Hsp70 and Hsp72 in lung. β-Actin was used as loading control. (K) Quantification of relative Hsp70 protein levels compared with naive control set as 1. Data are shown as mean ± SEM (n = 5/group). *P < 0.05 vs. naive and #P < 0.05 vs. vehicle. Data were analyzed using nonparametric methods, using a 1-way ANOVA with Tukey’s test as post hoc comparison. Statistical test of differential expression in scRNA-Seq analysis was completed using MAST.

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