Muscle crush injury is often complicated by hemodynamic shock, electrolyte disorders, and myoglobinuric renal failure. In this study, we examined the involvement of the nitric oxide (NO) system in the development of muscle damage in an experimental model of crush injury induced by exertion of standardized mechanical pressure on tibialis muscle of rat. The intact limb served as a control. Four days after injury, the crushed muscle was characterized by extreme capillary vasodilatation as demonstrated by histological morphometric analysis. These changes were accompanied by muscle hyperperfusion as evaluated by measurements of femoral blood flow (ultrasonic flowmetry) and capillary blood flow (laser-doppler flowmetry). Treatment with Nomega-nitro-L-arginine methyl ester, a NO synthase (NOS) inhibitor, largely decreased the hyperperfusion. Furthermore, the expression of the different NOS isoforms, assessed by reverse transcription-PCR and immunoreactive levels, determined by Western blot, revealed a remarkable induction of the inducible NOS in the crushed limb. Similarly, endothelial NOS mRNA increased gradually after the induction of muscle damage. In contrast, the major muscular NOS, i.e., neuronal isoform remained unchanged. In line with the alterations in the mRNA levels, Western blot analysis revealed parallel changes in the immunoreactive levels of the various NOS. These findings indicate that muscle crush is associated with activation of the NO system mainly due to enhancement of iNOS. This may contribute to NO-dependent extreme vasodilatation in the injured muscle and aggravate the hypovolemic shock after crush injury.
I Rubinstein, Z Abassi, R Coleman, F Milman, J Winaver, O S Better
Usage data is cumulative from April 2023 through April 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 273 | 81 |
44 | 44 | |
Citation downloads | 8 | 0 |
Totals | 325 | 125 |
Total Views | 450 |
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.