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MATRICES Research Topics

Vascular and Orthopedic Complications of Sickle Cell Disease

A diagram of the human body’s circulatory system with two images to the left depicting circular blood cells labelled Normal and a mix of circular and crescent shaped cells labelled Sickle. To the right three arrows point from the head of the body to an image of the brain, labeled Stroke (Microinfarct), from the neck to a cross-sectional image of an artery, labeled Arterial Remodeling, and from the hip joint to an image of the femoral head, labeled Bone Loss. Children with sickle cell disease have an 11% chance of suffering a major stroke by the age of 16, but 33% are at risk of having a silent stroke that impairs mental function and cognitive abilities. We are investigating the cellular and inflammatory mechanisms accelerating these destructive tissue remodeling.

Computational Fluid Dynamics of Blood Flow in the Cerebrovasculature

Two rows of two images each. To the left, the top row is labeled Non-Sickle and the bottom is labeled Sickle. The two leftmost images depict MRI images of the brain’s vasculature. Overlayed circular graphics mark similarities and differences between the two. The two rightmost images depict heat maps that show the speed of fluid flow within cerebral blood vessels. Hemodynamic parameters of the blood in sickle cell disease change its properties and can influence cell and tissue mechanic properties in the vasculature. Computational fluid dynamics models of disturbed blood flow in these individuals are currently being developed using human data as well as transgenic mouse models in our research laboratory and with our collaborators

Sickle Cell Large Artery Biomechanics and Imaging

A rotating magnetic resonance angiography, or MRA, image of the vasculature of the brain.Mechanical testing of carotid arteries and aortas from mice with sickle cell disease allows us to understand the changes to the elastin and collagen structures as they are remodeled due to upregulation of cathepsins in response to sickle cell disease. Cerebral arteries are more difficult to visualize so we use a label free method of magnetic resonance angiography.

Aggressive Breast Cancer in Young Women in Ethiopia

A collage of images with a photo of eight people posing for a photo at the top left, five people huddled around a lab bench at the top right, a bar graph of breast cancer diagnoses by age in the U.S. at the bottom left, and a gloved hand holding a tissue sample with tweezers in the bottom right. A graphic in the shape of the country of Ethiopia, filled in with the Ethiopian flag, is in the middle. Women in Ethiopia develop extremely aggressive breast cancer, and this can occur at very young ages such as their 20s or 30s. Our hypothesis is that tumors in Ethiopian women are more proteolytically active leading to aggressive growth and invasion. Proteolytic profiling would determine why some women present with more advanced tumors at earlier ages, but low cost methods are needed for practical translation to this beautiful country.

Cathepsin Proteolytic Networks

A technical diagram depicting proteolytic activity and networksCysteine cathepsins K, L, S, and V are part of a complicated network of proteases and inhibitors that work with and against each other to degrade extracellular matrix and are upregulated in a range of tissue destructive diseases. Our overall goal is to develop integrated, dynamic models of both extra- and intra-cellular cathepsin production and activity that can predict shifts to the proteolytic network caused by inhibitors or mutant proteases.

Personalized Proteolytic Potential

Four graphics about how systems biology can be used to probe the proteolytic networkPatient-to-patient variability in disease progression continues to complicate treatment decisions for cardiovascular diseases and metastatic cancers. By demonstrating a range of patient-to-patient variability in cathepsin activity from patients’ macrophages, we developed the hypothesis that these differences, which may help cancer spread and metastasize, could be detected via a blood test. Using systems biology techniques, our goals are to predict patient prognoses for tissue destructive diseases.