Energetics in arterioles during nitric oxide dependent and independent vasodilation

Masahiro Shibata, Takehiro Yamakoshi, Ken Ichi Yamakoshi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The objective of this study was to evaluate whether the nitric oxide (NO) would decrease vessel wall oxygen consumption by decreasing the mechanical work of vascular smooth muscle. The oxygen consumption rate (QO2) of arteriolar walls in rat cremaster muscle was determined in vivo during NO dependent and -independent vasodilation based on the intra- and perivascular oxygen tension (PO2) measured by phosphorescence quenching technique. NO dependent vasodilation was induced by increased NO production due to increased blood flow, while NO independent vasodilation was induced by topical administration of papaverine. The energy efficiency was evaluated by the variable ratio of wall tension to QO2 between normal and vasodilated conditions. NO dependent and -independent dilation increased arteriolar diameters by 13% and 17%, respectively. Vascular wall QO2 decreased significantly during both dilations. There was no significant difference between the energy efficiency during NO dependent and -independent vasodilation, suggesting the decrease in vascular wall QO2 produced by NO to be related to a decrease in the mechanical work of vascular smooth muscle.

本文言語English
ホスト出版物のタイトル29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
ページ1695-1698
ページ数4
DOI
出版ステータスPublished - 2007 12月 1
外部発表はい
イベント29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
継続期間: 2007 8月 232007 8月 26

出版物シリーズ

名前Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN(印刷版)0589-1019

Conference

Conference29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
国/地域France
CityLyon
Period07/8/2307/8/26

ASJC Scopus subject areas

  • 信号処理
  • 生体医工学
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学

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