Recently it has been postulated that mitochondrial ATP-sensitive K+ (mitoKATP) channels rather than sarcolemmal KATP (sarcKATP) channels are important as end effectors and/or triggers of ischemic preconditioning (IPC). To define the pathophysiological significance of sarcKATP channels, we conducted functional experiments using Kir6.2-deficient (KO) mice. Metabolic inhibition with glucose-free, dinitrophenol-containing solution activated sarcKATP current and shortened the action potential duration in ventricular cells isolated from wild-type (WT) but not KO mice. MitoKATP channel function was preserved in KO ventricular cells. In anesthetized mice, IPC reduced the infarct size in WT but not KO mice. Following global ischemia/reperfusion, the increase of left ventricular end-diastolic pressure during ischemia was more marked, and the recovery of contractile function was worse, in KO hearts than in WT hearts. Treatment with HMR1098, a sarcKATP channel blocker, but not 5-hydroxydecanoate, a mitoKATP channel blocker, produced a deterioration of contractile function in WT hearts comparable to that of KO hearts. These findings suggest that sarcKATP channels figures prominently in modulating ischemia/reperfusion injury in the mouse. The rapid heart rate of the mouse (>600 beats per minute) may magnify the relative importance of sarcKATP channels during ischemia, prompting caution in the extrapolation of the conclusions to larger mammals.
Masashi Suzuki, Norihito Sasaki, Takashi Miki, Naoya Sakamoto, Yuki Ohmoto-Sekine, Masaji Tamagawa, Susumu Seino, Eduardo Marbán, Haruaki Nakaya
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 610 | 59 |
101 | 29 | |
Figure | 255 | 11 |
Citation downloads | 69 | 0 |
Totals | 1,035 | 99 |
Total Views | 1,134 |
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.