Modeling neurodegenerative disease is challenging due to the complex and intricate nature of the brain. In Alzheimer’s disease (AD), the progressive loss of synaptic function and death of neurons is believed to be a downstream effect of sustained overproduction and accumulation of amyloid beta (Aβ) peptides following abnormal processing of the amyloid precursor protein (APP) according to the amyloid cascade hypothesis1.
In order to understand the mechanisms of this amyloid-induced pathology and to aid in the identification of novel treatment targets, scientists have developed various in vivo preclinical models. One category of models utilizes a bolus injection of a synthetic Aβ peptide into the rat brain2,3,4. The main limitation of such models is that they rely on a single-point or repeated treatments with Aβ peptides in high concentrations deposited all in one go. This is inconsistent with the chronic, sustained nature of the release of Aβ in disease5. Another category of in vivo models is transgenic animal models expressing one or more genetic mutations linked with the familial variations of the disease6,7,8,9,10. However, since familial AD only accounts for fewer than 5% of all Alzheimer’s cases11, the relevance of these models in translating to sporadic AD in humans is questionable12. Another drawback of the transgenic approach is the accelerated Aβ formation from birth, which translates into deficits in cognitive function and pathological changes too quickly and aggressively to resemble disease progression in sporadic AD in patients12. For example, the 5x FAD model produces plaques in as little as 1.5 months13.
Interestingly, both these categories result in changes in cognitive function of relevance to AD research2,3,4,5,6, and sometimes they are accompanied by the appearance of pathological hallmarks of the disease such as amyloid plaques6,8, tau phosphorylation6,7 and/or synaptic and neuronal loss7,9,14. But while these types of models may give us an insight into the effects of high levels of amyloid in the brain, which are often associated with later stages of AD, they fail to reflect the earlier changes exhibited in response to the chronic and sustained exposure to the Aβ peptide12, such as altered expression of synaptic markers15 and components in the extracellular matrix16. Therefore, there still remains a need for creating a chronic model that more accurately illustrates the effects of sustained Aβ secretion on in vivo cognition and illustrates changes in pathology.
To this end, we have developed a system which allows the constant, sustained secretion of Aβ in a controlled manner by immobilizing amyloid-secreting cells within hydrogel microbeads, which can be subsequently implanted within the adult rat brain to model aspects of sporadic AD.
Alginate was the selected biomaterial as it is biocompatible and does not induce any adverse responses when implanted in vivo17. Cell encapsulation in alginate hydrogels has been well established over the last four decades. The first example of its translation to the clinic was reported for the treatment of type 1 diabetes mellitus17. The earliest report of successful encapsulation of islets of Langerhans dates back to 1980. Transplantation of microbeads containing insulin-secreting cells revolutionized treatment options for diabetic patients as it restored pancreatic function, eliminating the need for insulin injection therapy18. These works report on how cell encapsulation can protect them from external stresses, whether mechanical or chemical. In fact, alginate beads act as a barrier and isolate cells from the surrounding environment preserving their phenotype, whilst allowing sufficient access to the surrounding media for nutrients and clearance of cellular byproducts19. Moreover, the use of alginate allows matching of mechanical properties of soft tissue20. Alginate hydrogels can be tuned to have a stiffness of 1-30 kPa, by simply varying alginate concentration and cross-linking density20,21. This is an essential aspect, not only to maintain the phenotypic expression of encapsulated cells in vitro, but also to avoid any inflammatory effects after engraftment in vivo22.
In this protocol, 7PA2 cells - a Chinese hamster ovary cell line that is stably transfected with a human APP V717F mutated gene23 - are used. These cells continuously produce catalytic products of APP, including Aβ1-4224,25, and have been used to generate Aβ as an alternative to synthetic production in preclinical, acute in vivo studies26. We describe a fabrication method for immobilizing 7PA2 cells within 'soft' alginate microbeads, designed to allow the sustained secretion of biomolecules. As a proof of concept, we report on the release of the Aβ1-42 peptide over time. The alginate that is used is a low-viscosity alginate with a molecular weight of 120,000-190,000 g/mol and a mannuronic to guluronic ratio of 1.56 (M/G).
In further studies, these microbeads can be safely transplanted within regions of the rat brain of relevance to AD (e.g., the hippocampus) to study the effects of chronic Aβ secretion on behavior in vivo and pathology ex vivo. In addition, this system can be used to study the effects of chronic Aβ release in in vitro and ex vivo applications. For instance, 7PA2-containing alginate microbeads can be co-cultured in vitro with neuronal or astrocytic cultures to assess the effects of chronic Aβ exposure on cellular mechanisms associated with AD. Furthermore, this method can be used to examine the relationship between chronic Aβ production and long-term potentiation in ex vivo electrophysiology.
The highlight of this protocol is the modularity and flexibility of the fabrication method, which enables the fabrication of alginate beads with a target dimension by fine tuning fabrication parameters. Depending on the application, the protocol can be adjusted to obtain bespoke targets with regards to microbead size, density of the encapsulated cells, and microbead stiffness. This protocol can be used for the encapsulation of a variety of cell types, developing more relevant three-dimensional (3D) in vitro models to study different pathologies. We recently reported on how alginate-encapsulated cells can be used to model early stages of cancer progression20.
The concept of the encapsulation process is based on the extrusion of a laminar jet of cells suspended in alginate solution through a nozzle. A vibrating head disrupts the jet with a controlled frequency resulting in equally sized alginate-based droplets. An external electric field allows separation of the formed alginate-based droplets, which upon contact with a solution enriched in divalent ions, such as calcium ions, can quickly cross-link, preserving their spherical shape. Incubation in the gelation solution allows formation of spherical microbeads containing cells within a homogeneous physical hydrogel27. Target size of microbeads and alginate hydrogels allows nutrients and oxygen exchange with cell culture media for long periods of time (weeks). Figure 1A show a schematic representation of the encapsulation apparatus used (Figure 1B).

Figure 1: The encapsulation system. (A) Schematic representation of the encapsulation system. An alginate-cell suspension is loaded into a syringe (2) and fed through a reservoir at an extrusion speed set at syringe pump (1). In the reservoir, a vibration hat (3) vibrates at a frequency set by a waveform generator (4) to disrupt the stream at equal intervals, forming equally-sized droplets. As the solution is fed through a nozzle (5) and droplets are formed, an electrostatic potential is applied across an electrode (7) set by a voltage generator (6), which slightly charges the surface of the droplets, allowing the stream to spread as a result of repelling electrostatic forces. As droplets engage with the gelation bath (8), Ca2+-driven cross-linking of alginate results in the formation of spherical microbeads. (B) Photograph of the encapsulator before fabrication of alginate microbeads. Please click here to view a larger version of this figure.
Microbead size can be altered depending on the intended use. In order to control the size of the microbead, the various parameters outlined in Figure 1A and in the protocol are adjusted accordingly. The internal diameter of the nozzle used has a substantial impact on the size of the droplets; further adjusting encapsulation parameters, namely extrusion speed, vibration frequency and voltage, is key to achieving a consistent size distribution. Table 1 outlines how the different parameters can alter the size of microbeads achieved with this system.
| Parameter | Nozzle size | Vibration frequency | Flow rate | Electrode voltage |
 |  |  |  |
| Bead size |   |  |  | – |
Table 1: Fabrication parameters and their influence on microbead size. The table illustrates how each parameter can influence the resultant size of fabricated microbeads, irrespective of the nozzle and the viscosity of the solution used.