Guiding the Future Direction in Modeling the Blood-Brain Barrier for Improved Brain Health

In collaboration with Dr. Alfredo Quiñones-Hinojosa at the Mayo Clinic and Dr. Shuo Gu at the National Cancer Institute, Shamul conducted a comprehensive meta-analysis of BBB models, focusing on both healthy and disease states. Exploring various types of models, such as transwells and microfluidics, Shamul looked into different combinations of cell types, their ratios, materials, and culture methods. The goal was to identify the optimal conditions for creating BBB models that have low permeability, high transendothelial electrical resistance, and high expression of tight junction proteins. These properties are critical as they closely mimic the natural function of the BBB–essential to maintain a protective environment in the brain. His study also examined disease models, finding key factors that affect how well these models mimic the permeability changes seen in a variety of conditions.

“As researchers develop more complex cellular combinations in BBB models, more precise tuning of the microenvironment must be performed to give the cells a sufficient platform to generate the barrier properties desired”, Shamul says. “The meta-analysis laid out in this work can provide the groundwork for eventually achieving these more convoluted models.”
Shamul’s work extends beyond healthy BBB models, as his meta-analysis also addressed the unique challenges of modeling diseased states, including GBM, Alzheimer’s disease, Parkinson’s disease, and inflammatory diseases. In particular, this meta-analysis highlighted the importance of model permeability in accurately simulating these conditions. The study found that fibronectin-based models allow more substances to pass through than Matrigel or fibrin-based models—a difference that could help guide material choices in future disease models.

Looking ahead, Shamul's research will work to address the need for continued refinement in BBB modeling. 

“As of now, there is no BBB model—with sufficient published data—that definitively outperforms others. For the cell ratio data, the results suggest that following the human anatomical brain cell ratio of more non-endothelial cells than endothelial cells may be beneficial in decreasing barrier permeability in a BBB model.” Shamul says. “Current disease BBB models may accurately reflect the leakiness seen in conditions like glioblastoma compared to healthy models on average.”

By using platforms like transwells, microfluidics, and 3D bioprinting, significant progress has been made in understanding the BBB's development and function in both healthy and diseased states. However, greater understanding of the interplay between structure and function remains crucial to any continued success. Key factors such as cell types, extracellular matrix, and their spatial organization must be further optimized to create more realistic BBB models. 

“The success we achieve in drug discovery and therapeutic testing for many CNS diseases will depend on our ability to increase the usefulness and reliability of human BBB models,” Shamul concludes. “As the most delicate and complex organ and the source of all qualities that define our humanity, the brain deserves our full attention and the treatment and care of our brains will require entering the brain non-invasively through the BBB.”