Vascular permeability of skeletal muscle microvessels in rat arterial ligation model: in vivo analysis using two-photon laser scanning microscopy

Shimotsu, Rie; Hotta, Kzuki; Ikegami, Ryo; Asamura, Tomoyo; Tabuchi, Ayaka; Masamoto, Kazuto; Yagishita, Kazuyoshi; Poole, David C.; Kano, Yutaka

doi:10.1152/ajpregu.00135.2020

Cited by 1 publication

(1 citation statement)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… 32 Inflammation increased capillary permeability. 33 Shimotsu et al 34 showed that endothelial cell swelling corresponds to enhanced microvascular permeability which aligns with our finding that capillary permeability was higher in patients with PAD than in matched controls. We further observed that capillary permeability and microvascular pressure were also higher in diabetes compared with patients with PAD without diabetes.…”

Section: Discussionsupporting

confidence: 92%

Magnetic Resonance Imaging‐Derived Microvascular Perfusion Modeling to Assess Peripheral Artery Disease

Gimnich

Belousova

Short

et al. 2023

JAHA

View full text Add to dashboard Cite

Background Computational fluid dynamics has shown good agreement with contrast‐enhanced magnetic resonance imaging measurements in cardiovascular disease applications. We have developed a biomechanical model of microvascular perfusion using contrast‐enhanced magnetic resonance imaging signal intensities derived from skeletal calf muscles to study peripheral artery disease (PAD). Methods and Results The computational microvascular model was used to study skeletal calf muscle perfusion in 56 individuals (36 patients with PAD, 20 matched controls). The recruited participants underwent contrast‐enhanced magnetic resonance imaging and ankle‐brachial index testing at rest and after 6‐minute treadmill walking. We have determined associations of microvascular model parameters including the transfer rate constant, a measure of vascular leakiness; the interstitial permeability to fluid flow which reflects the permeability of the microvasculature; porosity, a measure of the fraction of the extracellular space; the outflow filtration coefficient; and the microvascular pressure with known markers of patients with PAD. Transfer rate constant, interstitial permeability to fluid flow, and microvascular pressure were higher, whereas porosity and outflow filtration coefficient were lower in patients with PAD than those in matched controls (all P values ≤0.014). In pooled analyses of all participants, the model parameters (transfer rate constant, interstitial permeability to fluid flow, porosity, outflow filtration coefficient, microvascular pressure) were significantly associated with the resting and exercise ankle‐brachial indexes, claudication onset time, and peak walking time (all P values ≤0.013). Among patients with PAD, interstitial permeability to fluid flow, and microvascular pressure were higher, while porosity and outflow filtration coefficient were lower in treadmill noncompleters compared with treadmill completers (all P values ≤0.001). Conclusions Computational microvascular model parameters differed significantly between patients with PAD and matched controls. Thus, computational microvascular modeling could be of interest in studying lower extremity ischemia.

show abstract

Section: Discussionsupporting

confidence: 92%