Usage Information
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
Usage data is cumulative from July 2026 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 115 | 0 |
| 31 | 0 | |
| Figure | 43 | 0 |
| Supplemental data | 20 | 0 |
| Citation downloads | 22 | 0 |
| Totals | 231 | 0 |
| Total Views | 231 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
