Amyloid Protein

      Amyloid protein exists in two forms, soluble and fibrous. It is secreted by neurons in the soluble form, diffuses in the soluble form and can be changed to a fibrous form depending on its local concentration, and on the interaction between the soluble and fibrous forms. Amyloid protein is removed from the environment due to uptake by microglia.

      The program sets a limit on the concentration of fibers called MAXFIBERS. This programmer defined constant is used in several of the fiber processes. The current value of MAXFIBERS is 150.

      Initially, soluble amyloid is secreted from neurons in the center of the environment. Amyloid fibers are also placed randomly in the domain based on the initial fiber occupancy parameter, p. In other words, for each grid space, a uniformly distrubed random variable between 0 and 1 is generated and if its value is less than p, then a random concentration of fibers is placed in the grid space. The random concentration of fibers is uniformly distributed between 0 and MAXFIBERS.

Secretion

      When a neuron's internal concentration of IL-1B exceeds the source triggering level the Neuron secretes soluble amyloid protein at its grid location. The rate of secretion, r, is determined as a function of the source concentration parameter, I. Specifically,

r = I (s/c) d
where s is the concentration of IL-1B within the neuron, c is the maximum IL-1B absorbed parameter, and d is a programmer defined constant (currently set to 10) that was used to make older runs comparable to the new ones. Secretion occurs on the micro time scale so that the addition of soluble amyloid in the grid space is
DS = dt*r.
However, the maximal allowable soluble amyloid concentration is given by the source concentration parameter, and its level is capped at this ceiling.

Diffusion

      Soluble amyloid diffuses according to the diffusion properties discussed above. Initially, the diffusion coefficient equals the diffusivity parameter throughout. However, astrocyte blocking may reduce the diffusion coefficient in specific regions.

Transition of Soluble Amyloid to Fibers

      Soluble amyloid is transformed to amyloid fibers within a grid space in two possible ways. If there are already some fibers in the grid space, these can grow based on the sol to fiber transition rate. If there are no fibers present in the grid space, then new fiber nucleation based on the presence of fibers in the surrouding grid spaces must be considered. In either case, the concentration of soluble amyloid in the grid space must exceed the critical sol-AB for fibers parameter, for fiber transitions to occur.

      When fibers are present, growth occurs at a rate proportional to the product of the average surrounding fiber concentration, F (a weighted average with the center fibers counting more than the immediately surrounding fibers by a programmer defined constant, WEIGHT -- currently, WEIGHT=2.0, meaning that fibers in the center count twice as much as surrounding fibers), and the difference between the concentration of soluble amyloid, s, within the grid space and the critical sol-AB for fibers parameter, b. If f is the concentration of fibers in the grid space, then

where R is the sol to fiber transition rate parameter. Because fiber transitions happen on the macro time scale, the change in fiber concentration, Df, can be calculated as
Df = DT*R*(s-b)*F.
There are two restrictions on the size of Df. It can be no larger than s, otherwise one would be trying to change more soluble amyloid to fiber than is present. As well, Df + f cannot exceed MAXFIBERS. If either case occurs, Df is reduced to be the maximum concentration that still passes both criteria.

      In the case where no fibers are present in the grid space under consideration, the grid space may still gain fibers if no astrocytes occupy the space and the concentration of soluble amyloid exceeds the critical sol-AB for fibers parameter. This is done through the process of fiber nucleation. Fiber nucleation depends on the weighted average of concentration of fibers surrounding the grid space, F, the maximum fiber concentration, MAXFIBERS, and the new fiber nucleation effectiveness parameter, n. These terms are combined to give a "probability" that the site undergoes nucleation, p = n*(F/MAXFIBERS). Every macro time step, nucleation is tested for via a Monte Carlo technique. Specifically, a uniformly distributed random number between 0 and 1 is generated. If its value is less than p, then nucleation occurs and the rate of fiber growth is determined as described in the preceding paragraph.



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