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Diagnosing and monitoring depression disorders based on multiple biomarker panels

A technology of biomarkers and depression, applied in biological testing, biochemical equipment and methods, microbiological determination/inspection, etc., can solve problems such as inaccurate diagnosis, insufficient dose of antidepressants, and suboptimal treatment results

Inactive Publication Date: 2011-04-27
RIDGE DIAGNOSTICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Multiple factors contribute to persistent disability and suboptimal treatment outcomes, including inaccurate diagnosis, early discontinuation of treatment, social characteristics, underdosing of antidepressants, side effects of antidepressants, and nonadherence to treatment

Method used

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  • Diagnosing and monitoring depression disorders based on multiple biomarker panels
  • Diagnosing and monitoring depression disorders based on multiple biomarker panels
  • Diagnosing and monitoring depression disorders based on multiple biomarker panels

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0114] Example 1 - Diagnostic Markers for Depression

[0115] The methods provided herein were used to develop an algorithm for determining a depression score that can be used to diagnose or determine the predisposition to MDD, and to evaluate a subject's response to antidepressant treatment. Characterization of molecular correlates of depression using a multiplex assay system. Three statistical approaches were used for biomarker evaluation and algorithm development: (1) univariate analysis examining the distribution of biomarkers associated with MDD; and (2) linear discriminant analysis (LDA) and (3) for the algorithm Constructed binary logistic regression.

[0116] Univariate analysis of individual analyte levels: Serum levels of each analyte were determined using Luminex multiplex technology and compared between depressed patients and normal subjects using "Student" t-test. The significance level was set at α≤0.05. Univariate analysis explores each variable in the data...

Embodiment 2

[0125] Example 2 - Selection of multiplex biomarkers for MDD

[0126] Serum levels of approximately 100 analytes were determined using the Luminex multiplex technique using the "Student" t-test. The data were then analyzed for comparison between depressed and normal subjects. The significance level was set at α≤0.05. Following preliminary studies, the analytes listed in Table 1 were selected based on statistical significance. This is followed by multivariate analysis (PCA, PLS-DA, LDA) to identify markers that can be used to differentiate MDD patients from the normal population.

[0127] Table 1 lists 18 biomarkers and shows the nature of each analyte's potential relationship to the pathophysiology of unipolar depression.

[0128] Table 1

[0129]

[0130] The potential relevance of each marker to MDD is discussed further here.

Embodiment 3

[0131] Example 3 - Using Algorithms to Calculate MDD Score and Evaluate Treatment

[0132] Using 16 of the markers listed in Table 1 and ACTH, a diagnostic score was established based on the following algorithm:

[0133] Depression diagnostic score = f(a1*analyte 1+a2*analyte 2+a3*analyte 3+a4*analyte 4+a5*analyte 5+a6*analyte 6+a7*analyte 7+a8* Analyte 8+a9*Analyte 9+a10*Analyte 10+a11*Analyte 11+a12*Analyte 12+a13*Analyte 13+a14*Analyte 14+a15*Analyte 15+a16*Analyte 16+a17*ACTH)

[0134] Using this algorithm, a depression score per unexamined subject was assigned.

[0135] Using five of the markers listed in Table 1 (A2M, BDNF, IL-10, IL-13, and IL-18), a statistically plausible diagnostic score was established based on the following algorithm:

[0136] Depression diagnostic score = f(a1*A2M+a2*BDNF+a3*IL-10+a4*IL-13+a5*IL-18)

[0137] In practice, a small set of biomarkers is sufficient to aid in the diagnosis and treatment monitoring of MDD, with or without additiona...

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Abstract

Materials and methods related to developing a unipolar depression (MDD) disease score in a subject using a multi-parameter system to measure a plurality of parameters, and an algorithm to calculate a score.

Description

[0001] Cross References to Related Applications [0002] This patent application claims U.S. Provisional Application No. 61 / 033,726 entitled "Monitoring Depression Disorders Based on Multiple Serum Biomarker Panels", entitled "Combinations of Selected Biomarkers for Diagnosing Depression Disorders" Combinations of Selected Biomarkers for the Diagnosis of Depression), U.S. Provisional Application No. 61 / 033,721, and "Monitoring Depression Disorders Based on Hypothalamic-Pituitary-Adrenal (HPA) Axis Biomarkers (HPA) Axis Biomarkers for Monitoring Depression)" all of which were filed on March 4, 2008, the entire contents of which are hereby incorporated by reference. technical field [0003] The present invention relates to biomarkers and methods for diagnosing and monitoring treatment of medical conditions such as major depressive disorder (MDD). Background technique [0004] Neuropsychiatric disorders account for a greater proportion of 'years of life lost' (YLD) than any ot...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/48G06F19/00
CPCC12Q1/6883G06F19/366G01N33/6893C12Q2600/158G01N2800/60G01N2800/304G16H10/40G16H50/30
Inventor J·比雷洛Y·何B·皮
Owner RIDGE DIAGNOSTICS
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