Abstract
Longitudinal monitoring techniques for preclinical models of vascular remodeling are critical to the development of new therapies for pathological conditions such as ischemia and cancer. In models of skeletal muscle ischemia in particular, there is a lack of quantitative, non-invasive and long term assessment of vessel morphology. Here, we have applied speckle variance optical coherence tomography (OCT) methods to quantitatively assess vascular remodeling and growth in a mouse model of peripheral arterial disease. This approach was validated on two different mouse strains known to have disparate rates and abilities of recovering following induction of hind limb ischemia. These results establish the potential for speckle variance OCT as a tool for quantitative, preclinical screening of pro- and anti-angiogenic therapies.
Highlights
Vascular remodeling plays an important role in a broad range of pathological conditions including cancer [1, 2], wound healing [3], and cardiovascular disorders such as atherosclerosis, ischemia, stroke, and hypertension [1, 4, 5]
Mouse strains with known robust (FVB) and poor (Balb/c) recovery to hind limb ischemia [15, 16, 52, 53] were used in this study to show that quantitative vascular imaging with optical coherence tomography (OCT) can resolve known differences in recovery over time
In this work, we have demonstrated the utility of speckle variance OCT [33, 43, 54] for quantitative, non-invasive monitoring of vascular remodeling in the mouse hind limb ischemia model of peripheral arterial disease (PAD)
Summary
Vascular remodeling plays an important role in a broad range of pathological conditions including cancer [1, 2], wound healing [3], and cardiovascular disorders such as atherosclerosis, ischemia, stroke, and hypertension [1, 4, 5]. Wound healing requires angiogenesis to support transport of nutrients, inflammatory cells, and debris during the tissue repair process [3]. Characterization of vascular remodeling and screening of novel therapies are often performed in animal models of cancer [1, 8, 9], wounds [10, 11], and cardiovascular disease [5, 7, 12,13,14]. Vascular remodeling is a dynamic and complex process, so non-invasive tools that can quantify in vivo vascular remodeling over time are desirable
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