Compositions and methods for identifying depressive disorders

• US 10,093,981 B2
• Filed: 10/06/2017
• Issued: 10/09/2018
• Est. Priority Date: 10/19/2010
• Status: Active Grant

• Current Assignee: Northwestern University
• Original Assignee: Northwestern University
• Inventors: Redei, Eva E.
• Primary Examiner(s): HANEY, AMANDA MARIE
• Application Number:
  US15/727,181
• Publication Number:
  US 20180057884A1
• Time in Patent Office: 368 Days
• Field of Search: None
• CPC Class Codes: C12Q 1/6883 for diseases caused by alterations of genetic material
• CPC Class Codes: C12Q 2600/156 Polymorphic or mutational markers
• CPC Class Codes: C12Q 2600/158 Expression markers
• CPC Class Codes: G01N 2800/304 Mood disorders, e.g. bipolar, depression
• CPC Class Codes: G01N 2800/60 Complex ways of combining multiple protein biomarkers for diagnosis
• CPC Class Codes: G01N 33/6893 related to diseases not provided for elsewhere

Abstract

Provided herein are compositions, kits, and methods for the identification of depressive disorders. In particular, provided herein are compositions, kits, and methods for the detection or diagnosis of major depressive disorder.

Claims

1. A panel of biomarkers consisting of an isolated set of 100 or fewer full-length cDNA biomarkers, wherein said isolated set includes ADCY3, DGKA, FAM46A, IGSF4A/CADM1, KIAA1539, MARCKS, PSME1, RAPH1, and TLR7 full-length cDNA biomarkers.