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New mathematical model for amyloid formation

Equations describe chemical reactions responsible for the formation of protein aggregates associated with illnesses like Alzheimer's disease

Date:
January 28, 2020
Source:
American Institute of Physics
Summary:
Scientists report on a mathematical model for the formation of amyloid fibrils. The model sheds light on how the aggregation process can occur in a catalytic manner, something that has not been previously well understood.
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Amyloids are aggregates consisting of stacks of thousands of proteins bound tightly together. Their formation is involved in several widespread disorders, including Alzheimer's disease and Type II diabetes.

In this week's Journal of Chemical Physics, by AIP Publishing, scientists report on a mathematical model for the formation of amyloid fibrils. The model sheds light on how the aggregation process can occur in a catalytic manner, something that has not been previously well understood.

The investigators applied their model to the aggregation of a specific protein associated with Alzheimer's, Ab40. The results show the initiation of the aggregation process for Ab40?fibrils typically occurs at interfaces, such as near the surface of a liquid solution or the glass wall of a test tube. This has important implications for the interpretation of laboratory data used in the study of Alzheimer's and other diseases.

The model consists of a set of mathematical equations, known as rate equations, that describe how protein aggregate concentrations change over time. Each reaction step in the model is shown to be analogous to those in reactions involving enzymes. The role of the enzyme is played by either the tip or side of a growing fiber or, possibly, a surface of the reaction vessel.

The investigators found the mathematical form of their model was related to the famous Michaelis-Menten equations, first published in 1913 to describe the rates of enzyme reactions. It has a far simpler mathematical form than all previous models used for amyloid formation and has the additional advantage that the equations can be solved by hand, without the need for computer simulations.

"We expect the methodology developed in this paper will underpin future efforts to model new amyloid formation phenomena," co-author Alexander Dear said.

One of the key features of the mathematical solution found for Michaelis-Menten-type equations is a phenomenon known as saturation. When saturation occurs, the catalytic sites become fully occupied at high protein concentrations. In the case of the Ab40 studies, saturation also shows that the process initiating aggregation involves a surface, such as the wall of a test tube.

While the conclusions do not directly apply to the body itself, co-author Tuomas Knowles said, "This work will be central in facilitating the study of amyloid formation in the presence of other species found in body fluids."

Co-author Sara Linse said, "This work takes the analysis of experimental data to a new level that will be essential for deriving potent inhibitors of amyloid formation."


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Materials provided by American Institute of Physics. Note: Content may be edited for style and length.


Journal Reference:

  1. Alexander Dear, Georg Meisl, Thomas C. T. Michaels, Manuela R. Zimmermann, Sara Linse and Tuomas P. J. Knowles. The catalytic nature of protein aggregation. The Journal of Chemical Physics, 2020 DOI: 10.1063/1.5133635

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American Institute of Physics. "New mathematical model for amyloid formation." ScienceDaily. ScienceDaily, 28 January 2020. <www.sciencedaily.com/releases/2020/01/200128114705.htm>.
American Institute of Physics. (2020, January 28). New mathematical model for amyloid formation. ScienceDaily. Retrieved May 26, 2024 from www.sciencedaily.com/releases/2020/01/200128114705.htm
American Institute of Physics. "New mathematical model for amyloid formation." ScienceDaily. www.sciencedaily.com/releases/2020/01/200128114705.htm (accessed May 26, 2024).

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