Affiliation:
1. School of Mechanical, Medical and Process Engineering Centre for Biomedical Technologies, Queensland University of Technology (QUT) Brisbane Queensland Australia
2. School of Chemical Engineering University of Queensland (UQ) Brisbane Queensland Australia
Abstract
AbstractThe femoropopliteal artery (FPA) is a long, flexible vessel that travels down the anteromedial compartment of the thigh as the femoral artery and then behind the kneecap as the popliteal artery. This artery undergoes various degrees of flexion, extension, and torsion during normal walking movements. The FPA is also the most susceptible peripheral artery to atherosclerosis and is where peripheral artery disease manifests in 80% of cases. The connection between peripheral artery location, its mechanical flexion, and its physiological or pathological biochemistry has been investigated for decades; however, histochemical methods remain poorly leveraged in their ability to spatially correlate normal or abnormal extracellular matrix and cells with regions of mechanical flexion. This study generates new histological image processing pipelines to quantitate tissue composition across high‐resolution FPA regions‐of‐interest or low‐resolution whole‐section cross‐sections in relation to their anatomical locations and flexions during normal movement. Comparing healthy ovine femoral, popliteal, and cranial‐tibial artery sections as a pilot, substantial arterial contortion was observed in the distal popliteal and cranial tibial regions of the FPA which correlated with increased vascular smooth muscle cells and decreased elastin content. These methods aim to aid in the quantitative characterization of the spatial distribution of extracellular matrix and cells in large heterogeneous tissue sections such as the FPA.Research Highlights
Large‐format histology preserves artery architecture.
Elastin and smooth muscle content is correlated with distance from heart and contortion during flexion.
Cell and protein analyses are sensitive to sectioning plane and image magnification.
Funder
Advance Queensland
Australian Research Council
Subject
Medical Laboratory Technology,Instrumentation,Histology,Anatomy