Belgium: Neurosciences Brain-on-Chip Unravels Mechanisms Behind Parkinson's Disease
Mission Lucidity brings clinicians, scientists, and engineers from Imec, KU Leuven, UZ Leuven, and VIB together to gain a deeper understanding of neurodegenerative disorders with the ultimate goal of curing and preventing them. One of the projects (Brain-on-chip) tackles Parkinson’s disease.
Leuven/Belgium — Neurodegenerative diseases such as Parkinson’s or Alzheimer’s are brain diseases hallmarked by the death of specific brain areas or progressive neuron loss. They have debilitating effects on movement, speech, and memory that are severe enough to impede everyday activities. Currently, there are more than one million people in Europe affected by Parkinson’s Disease (PD) and about seven million by a form of dementia. With an aging population, this number is expected to double in the next ten to twenty years, posing a major challenge to healthcare systems. So far, these brain diseases are incurable, and the neuron loss is irreversible. The search for effective treatments is difficult because we lack a fundamental understanding of disease mechanisms and causes and representative model systems to study them.
The rise of new chip technologies and genetic tools can help gaining insights in disease mechanisms and treatment strategies. Multi-electrode arrays (MEAs) have proven themselves as invaluable tools for this. MEAs are chips that can interrogate and interact with networks of neurons grown on top of them by either recording their electrical signatures or stimulating them. Imec’s high-density MEA packs thousands of electrodes in 1 mm2, thereby enabling an unprecedented resolution for neuronal interfacing. Combined with stem cell technology that can reprogram cells, the MEA can create and tweak any relevant brain circuit to study disease mechanisms and the effects of drugs on the circuits. Dries Braeken, R&D manager at Imec, talks about the game-changing technology platforms that will bring us closer to a future without neurodegeneration.
Parkinson’s disease (PD) is a neurodegenerative brain disorder that progressively affects movement and speech. The disease is related to the loss of dopamine-producing neurons in the substantia nigra. Neuronal death in this area causes miscommunication with connected brain structures responsible for movement (such as the striatum), resulting in the typical stumbling and shaking in these patients, but also depression, memory loss, and insomnia.
There is no cure for PD, but a number of treatments can alleviate symptoms. Almost all patients eventually need to take increasing doses of medication to help with their motor symptoms. When the disease has progressed to a level for which increasing drug doses becomes ineffective, more invasive options such as deep brain stimulation surgery can be considered. The treatment is highly individualized and adjusted over time based on symptoms and side effects.
Key Problems in PD
What makes it so difficult to find a cure for this disease? In short, it is the lack of relevant model systems that recapitulate all the disease features observed in patients. First, we do not have direct access to diseased tissue. Human brains are only available post-mortem, and at that time, the brain areas most interesting for PD research have died. Secondly, patients are currently diagnosed based mostly on motor symptoms, but the dopaminergic neurons are already damaged or gone by the time these symptoms appear. We need to study the brain regions before the damage occurs to understand disease onset and progression.
The third challenge is the lack of human-specific aspects in the current model systems. Animal models have played a vital role in preclinical research for drug discovery. However, over the last 20 to 30 years, they haven’t led to any new drugs for Parkinson’s. Chemical models mimic the dopaminergic loss and associated motor effects but cannot be used to study disease progression or mechanisms. Genetic models, on the other hand, offer the possibility of investigating disease pathology but only display a mild to no phenotype at all. In vitro cell-based models have focused on induced pluripotent stem cells (iPSCs) from patients and reprogramming them into brain cells. However, these are not embedded in a neural circuit, while motor problems arise from network dysfunction.
How to Make a Brain with PD
To overcome the obstacle of finding suitable tissue to study and experiment on, Dries Braeken and his team propose to build a human brain-on-chip model. This unique strategy's cornerstones are the iPSCs technology combined with an army of transcription factors and Imec’s high-density CMOS-MEA (multi-electrode array) with individually addressable electrodes. Together, they make it possible to recreate any relevant brain circuit in the lab, on a chip.
How does it work for PD? Many of the substantia nigra's effects are mediated through the striatum. This brain area receives input from the dopaminergic neurons (in the substantia nigra) and cortical neurons. An imbalance in this circuit causes motor problems and other PD-related symptoms. That’s why researchers are now building this circuit from patient-specific cells.
Programming Cells on a MEA
In a first step fibroblast progenitor cells are harvested from a patient’s skin and plated on the MEA. The Imec MEA consists of 16.384 individually steerable electrodes at single-cell resolution. The electrodes are spaced so close together (15 µm pitch) that each cell is in contact with at least one electrode. By sending a small current through the electrode, tiny transient holes can be made in the cell in a process called electroporation. Transcription factors are then applied on the cells and enter through the holes to reprogram the cell into brain cells.
Because the MEA can access single cells, researchers can build the striatal circuit by choosing which cells are becoming either cortical, striatal, or dopaminergic (nigral) cells on specific locations of the chip. By selectively activating the electrodes, a variety of patterns can be built to create microcircuits. The MEA fits into a cell culture incubator and connects to a computer with a custom user interface. The idea is that the system will be distributed over different labs to initiate a global partnership.
Unique Chip Signatures
The hypothesis of the researchers is that these brain microcircuits have unique signatures. Ten percent of PD patients have a clear genetic mutation while 90 percent (‘sporadic’ patients) probably have a complex gene pattern involvement that is yet unknown. In a first approach, the researchers will plate cells from people with a known mutation on the MEA to characterize their electrophysiological phenotype (parameters such as neuron firing rate, signal propagation, or burst patterns) and compare them to cells from healthy individuals. Once differentiating features have been established and categorized, the brain cells of the sporadic patients can be studied, and their phenotypes can be subdivided into one of the categories in a process called stratification.
The implications of this strategy are enormous. It enables PD to be objectively defined by solid quantifiable phenotypes, rather than by the typical movement symptoms currently used to examine and diagnose the disease. In turn, this approach could lead to targeted therapies to slow down or completely halt the disease. There are indeed already therapies available to intervene in certain processes. The problem for pharmaceutical companies is that only ten percent of patients have hereditary PD and that this small group is spread out worldwide. As an alternative, Mission Lucidity will offer the possibility of performing drug studies on the entire patient population that are divided into groups based on their molecular and electrophysiological profile.
The Brain is 3D…
Once we know what the circuit looks like in a PD patient, we can manipulate it and study the effect of these manipulations, for example, by introducing changes in the genes and pathways using genetic tools such as CRISPR-Cas9, or by applying drugs. We can also add more cells, effectively making the circuit more complex and thus better representing the patient's actual brain circuit: aside from the three neuron types that are currently studied, it would also be interesting to look at the effects on inflammatory cells such as microglia and astrocytes. This could be conceived as a test for the strength and validity of the circuit model.
The brain is, of course, more than a two-dimensional layer of cells. It is a 3D organ where neurons receive inputs from multiple angles, which is likely relevant for neuronal computation and information processing. In the next few years, Dries’ team at Imec aims to implement 3D structures in their research. Besides the traditional 2D models, more complex 3D cultures and organoids (in vitro organs) are being developed worldwide. Organoids are increasingly improving from disorganized cellular blobs to structured organs containing circuits.
…and so will be the MEA
Using this kind of 3D structure has implications for the MEA, which is still 2D. Imec is working on a 3D MEA by stacking several MEAs on top of each other. Moreover, they will remove most of the silicon, forming a mesh with holes and nodes. That way, the cells in the organoids can grow through the openings, establishing contact with the electrodes in three dimensions. The goal is to maintain the resolution that the 2D MEA already offers even though mm-size organoids contain far more cells to record from. It is a challenge that researchers already faced in the development of neuroprobes. Now, with the high-density Neuropixels brain implant, we can record signals from many cells in a specific brain volume. The difference is that when implanting a neuroprobe, the ‘pre-existing brain’ is the limit, and moving to another brain area in a circuit often requires a second device. With the MEA, we can build our own circuits around the electrodes.