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Purine metabolism enhances neovascularization of type H vessels in the induced membrane technique
Yung-Heng Hsu, Guan-Lin Lee, Yu-Chih Lin, Mei-Feng Chen, Yuhan Chang, Ying-Yu Wu, Chih-Chien Hu
Yung-Heng Hsu, Guan-Lin Lee, Yu-Chih Lin, Mei-Feng Chen, Yuhan Chang, Ying-Yu Wu, Chih-Chien Hu
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Research Article Metabolism Vascular biology

Purine metabolism enhances neovascularization of type H vessels in the induced membrane technique

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Abstract

The induced membrane technique (IMT) is a 2-stage surgical intervention for critical-sized bone defects (CSBD), yet the metabolic mechanisms driving neovascularization within the induced membrane remain unclear. Here, we combined a rat IMT model, metabolomic profiling, and endothelial assays to delineate the role of purine metabolism in neovascularization of type H vessels. Using a rat IMT model and metabolomic profiling, we identified purine metabolism as the most substantial pathway during the formation of induced membranes, with consistent trends of adenosine, inosine, hypoxanthine, and xanthosine found in both serum and induced membranes. Histological analysis revealed abundant CD31hiEMCNhi type H vessels, critical for osteogenesis, within the induced membrane. Inhibition of purine metabolism suppressed the CD31hiEMCNhi type H phenotype in human umbilical vein endothelial cells, whereas treatment with inosine, hypoxanthine, or xanthosine promoted endothelial activation and the type H phenotype. Notably, inosine and hypoxanthine displayed parallel changes across consistent systemic (serum) and local alterations (induced membranes), highlighting their potential as serum indicators of induced membrane formation. Collectively, these findings uncover a previously unrecognized metabolic mechanism driving neovascularization of type H vessels in induced membranes and suggest purine metabolites as promising indicators and therapeutic targets for improving IMT outcomes as well as CBSD treatment.

Authors

Yung-Heng Hsu, Guan-Lin Lee, Yu-Chih Lin, Mei-Feng Chen, Yuhan Chang, Ying-Yu Wu, Chih-Chien Hu

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Figure 9

Identification of induced membrane-associated metabolites from purine metabolism.

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Identification of induced membrane-associated metabolites from purine me...
(A) Schematic overview of the approach to identify purine metabolites associated with induced membrane (IM). Significant metabolites were defined by criteria of P < 0.05, FDR < 0.2, and Fold > 2. (B) PLS-DA score plot of tissue samples from IMT (induced membrane, n = 6) and BD (bone defect, n = 7) rats at week 6. Each data point represents an individual rat. (C) Pathway enrichment analysis of tissue metabolomes performed via MetaboAnalyst (hypergeometric test), with pathways ranked by adjusted P values (color gradient from white to red on y axis) and pathway impact score (x axis), where circle size represents ratio of identified metabolites. (D) Volcano plot (Student’s t test) of tissue metabolites before Benjamini-Hochberg correction. (E) Volcano plot (Student’s t test) after Benjamini-Hochberg correction. (F and G) Quantitative profiles of inosine (G) and hypoxanthine (H) in IM and BD tissue samples. Each dot represents one rat (IM, n = 6; BD, n = 7) from cohort of IMT as shown in Figure 1 and Figure 2, A–F. Each data point represents an individual rat, and all data are presented as box plots. Box plots represent the median (line), interquartile range (box), and minimum-to-maximum values (whiskers). P < 0.05 was considered statistically significant. (H) Summary of Figure 7 showing consistent trends of inosine and hypoxanthine between serum (systemic) and induced membrane (local). BD, bone defect; IM, induced membrane; BD, bone defect; IM, induced membrane.

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