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Technologies

Method to Assess Risk of Amyloid Diseases Enabling Early Diagnosis and Prevention

ID: 2020-047 Method to predict probabilities of amyloidosis and onset age in individuals

Principal Investigator: Lee Hansen

Misfolded protein structures that deposit in tissues and resist normal degradation processes cause amyloid diseases. Development of amyloidosis depends on the protein monomer concentration, proteolysis rate, and conformational stability of the native protein. Researchers at BYU have developed a unifying biophysical model that defines the relationships among the monomer concentration, native monomer stability, and the rate of monomer removal from the proteome. The model suggests the probability of an individual developing an amyloid disease can be estimated from measurements of these variables in serum samples of individuals. Methods for measurements have been developed.

Many amyloid-driven pathologies have genetic and stochastic components where assessing risk of disease development requires a complex multifactorial calculation. This invention enables simpler measurements of total TTR plasma concentration and tetramer stability in near in vivo conditions allowing quantification of risk for late-in-life amyloidosis and provides the information necessary for development of methods for early diagnosis and prevention.

For more information, contact Mike Alder (801-422-3049)

Links and Resources

  1. One Page Summary PDF
  2. Inventor Webpage