Back to results
US 2015/0031064 A1Published application
Multiple biomarker panels to stratify disease severity and monitor treatment of depression
OwnerJohn Bilello, Bo Piinventors
Life of this patent
Estimating the term…
Abstract
Materials and Methods for identifying and measuring pharmacodynamic biomarkers of neuropsychiatric disease (e.g., major depressive disorder), stratifying disease severity, and monitoring a subject's response to treatment are provided.
Claims16
1-40. (canceled)
A method comprising:
- (a) performing an immunological assay to obtain a first measured level for each of at least two inflammatory markers, at least two HPA axis markers, and at least two metabolic markers present in a first biological sample obtained from a mammal having a neuropsychiatric disease prior to administration of treatment for said disease, and using said first measured levels to calculate a first diagnostic disease score for said mammal, wherein said at least two inflammatory markers comprise a marker selected from the group consisting of alpha 1 antitrypsin, myeloperoxidase, soluble tumor necrosis factor α receptor (II), and apolipoprotein CIII, wherein said at least two HPA axis markers comprise a marker selected from the group consisting of epidermal growth factor and cortisol, and wherein said at least two metabolic markers comprise a marker selected from the group consisting of prolactin and resistin;
- (b) performing said immunological assay to obtain a second measured level for each of said at least two inflammatory markers, at least two HPA axis markers, and at least two metabolic markers present in a second biological sample obtained from said mammal after administration of said treatment, and using said second measured levels to calculate a second diagnostic score for said mammal.
47-79. (canceled)
A method comprising:
- (a) using binary logistic regression to develop first vector summaries based on first measured levels for at least two inflammatory markers, at least two HPA axis markers, at least two metabolic markers, and at least two neurotrophic markers present in a first biological sample obtained from a mammal with a neuropsychiatric disease, wherein said at least two inflammatory markers comprise a marker selected from the group consisting of alpha 1 antitrypsin, myeloperoxidase, soluble tumor necrosis factor α receptor (II), and apolipoprotein CIII, said at least two HPA axis markers comprise a marker selected from the group consisting of epidermal growth factor and cortisol, said at least two metabolic markers comprise a marker selected from the group consisting of prolactin and resistin, and said at least two neurotrophic markers comprise brain derived neurotrophic factor, wherein said first biological sample was obtained prior to administration of treatment for said neuropsychiatric disease;
- (b) generating a hypermap with the first vector summaries from three of the four categories of inflammatory, HPA axis, metabolic, and neurotrophic markers;
- (c) using binary logistic regression to develop second vector summaries based on second measured levels for said at least two inflammatory markers, at least two HPA axis markers, at least two metabolic markers, and at least two neurotrophic markers present in a second biological sample obtained from said mammal, wherein said second biological sample was obtained after administration of treatment for said neuropsychiatric disease;
- (d) generating a second hypermap with said second vector summaries from said three of the four categories of inflammatory, HPA axis, metabolic, and neurotrophic markers;
- and
- (e) comparing said first hypermap to said second hypermap to determine whether there is a positive or negative change in said subject's hyperspace pattern.
3 more elements
A method comprising:
- (a) performing an immunological assay to obtain a first measured level for each of at least two inflammatory markers, at least two HPA axis markers, at least two metabolic markers, and at least two neurotrophic markers present in a first biological sample obtained from a mammal with a neuropsychiatric disease, wherein said at least two inflammatory markers comprise a marker selected from the group consisting of alpha 1 antitrypsin, myeloperoxidase, soluble tumor necrosis factor α receptor (II), and apolipoprotein CIII, said at least two HPA axis markers comprise a marker selected from the group consisting of epidermal growth factor and cortisol, said at least two metabolic markers comprise a marker selected from the group consisting of prolactin and resistin, and said at least two neurotrophic markers comprise brain derived neurotrophic factor, wherein said first biological sample was obtained prior to administration of treatment for said neuropsychiatric disease;
- (b) using binary logistic regression to develop first vector summaries based on said first measured levels for said at least two inflammatory markers, at least two HPA axis markers, and at least two metabolic markers;
- (c) generating a hypermap with the first vector summaries from three of the four categories of inflammatory, HPA axis, metabolic, and neurotrophic markers;
- (d) performing said immunological assay to obtain a second measured level for each of said at least two inflammatory markers, at least two HPA axis markers, and at least two metabolic markers present in a second biological sample obtained from said mammal after administration of said treatment;
- (e) using binary logistic regression to develop second vector summaries based on said second measured levels for said at least two inflammatory markers, at least two HPA axis markers, at least two metabolic markers, and at least two neurotrophic markers;
- (f) generating a second hypermap with said second vector summaries from said three of the four categories of inflammatory, HPA axis, metabolic, and neurotrophic markers;
- and
- (g) comparing said first hypermap to said second hypermap to determine whether there is a positive or negative change in said subject's hyperspace pattern.
5 more elements
Dependencies are inferred from the claim text.