Back to results
US 12,629,094 B2Granted
System, software and methods of using software for predicting efficacy of alzheimer's disease treatments
AssigneesThe Regents of the University of California, Korea University Research and Business Foundation
InventorsWilliam W. Seeley, Joon-Kyung Seong, Whajin Lee, Jesse Aaron Brown
Life of this patent
Estimating the term…
Abstract
The disclosure relates to a system comprising software that predicts responsiveness of healthy subjects or subjects at risk for or suffering from Alzheimer's Disease to certain disease modifying drugs. Embodiments of the disclosure include methods comprising analyzing images of the brain for depositions of amyloid-beta (Aβ) protein and tau protein, and correlating protein deposition levels to drug responsiveness.
Claims22
A method of identifying a subject likely to respond to an Alzheimer's disease (AD) treatment, the method comprising:
- (a) segmenting an image of a brain of the subject into one or a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the one or a plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in the first region within the brain of the subject;
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the first region of the brain;
- and
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain.
4 more elements
A method of identifying a subject responsive to an Alzheimer's disease (AD) treatment comprising:
- (a) segmenting an image of a brain of the subject into a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the plurality of regions and a second region of the plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in the first region and the second region within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the first region of the brain and determining the relative quantities of Aβ protein deposition versus tau protein deposition in the second region of the brain;
- and
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain, and calculating a second normalized score corresponding to interaction of Aβ protein deposition and tau protein deposition in the second region of the brain of the subject.
5 more elements
A method of predicting a likelihood of a subject or population of subjects does or does not respond to an Aβ modulating agent comprising:
- (a) segmenting an image of a brain of the subject into a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the plurality of regions and a second region of the plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in the first region and the second region within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition in the first and second region by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the first region of the brain and determining the relative quantities of Aβ protein deposition versus tau protein deposition in the second region of the brain;
- and
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain, and calculating a second normalized score corresponding to interaction of Aβ protein deposition and tau protein deposition in the second region of the brain of the subject.
5 more elements
A method of predicting a pathological prognosis and/or a clinical outcome of a subject or population of subjects suffering from Alzheimer's disease comprising:
- (a) segmenting an image of a brain of the subject into a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the plurality of regions and a second region of the plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in the firs region and the second region within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the at first region of the brain and determining the relative quantities of Aβ protein deposition versus tau protein deposition in the second region of the brain;
- and
- (ii) calculating a first normalized score corresponding a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain, and calculating a second normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the second region of the brain of the subject.
5 more elements
A method of selecting or optimizing an AD therapy of a disease or disorder in a subject or population of subjects, the method comprising:
- (a) segmenting an image of a brain of the subject into a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the plurality of regions and a second region of the plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in a first region of the plurality of regions and a second region of the plurality of regions within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the at least one region of the brain;
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain, and calculating a second normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the second region of the brain of the subject.
4 more elements
A computer program product encoded on a computer-readable storage medium comprising instructions for:
- (a) segmenting an image of a brain of the subject into one or a plurality of regions;
- (b) analyzing an amount of amyloid-beta (Aβ) protein deposition in a first region of the one or a plurality of regions within the brain of the subject;
- (c) analyzing an amount of tau protein deposition in the first region within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the first region of the brain;
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain.
4 more elements
A system for identifying a protein interaction network in a subject or population of subjects comprising:
- a processor operable to execute programs;
- a memory associated with the processor;
- a database associated with said processor and said memory;
- a program stored in the memory and executable by the processor, the program being operable for:
- (a) segmenting an image of a brain of the subject into one or a plurality of regions;
- (b) analyzing amyloid-beta (Aβ) protein deposition in a first region of the one or a plurality of regions within the brain of the subject;
- (c) analyzing tau protein deposition in the first region within the brain of the subject;
- and
- (d) comparing the relative quantities of Aβ protein deposition and tau protein deposition by
- (i) determining the relative quantities of Aβ protein deposition versus tau protein deposition in the at least one region of the brain;
- (ii) calculating a first normalized score corresponding to a degree of interaction between tau-positive neural tissue and Aβ-positive neural tissue based upon Aβ protein deposition and tau protein deposition in the first region of the brain.
8 more elements
Dependencies are inferred from the claim text.