miR-149 and miR-29c as candidates for bipolar disorder biomarkers.

Published

Journal Article

Bipolar disorder (BD) is a common, recurring psychiatric illness with unknown pathogenesis. Recent studies suggest that microRNA (miRNA) levels in brains of BD patients are significantly altered, and these changes may offer insight into BD pathology or etiology. Previously, we observed significant alterations of miR-29c levels in extracellular vesicles (EVs) extracted from prefrontal cortex (Brodmann area 9, BA9) of BD patients. In this study, we show that EVs extracted from the anterior cingulate cortex (BA24), a crucial area for modulating emotional expression and affect, have increased levels of miR-149 in BD patients compared to controls. Because miR-149 has been shown to inhibit glial proliferation, increased miR-149 expression in BA24-derived EVs is consistent with the previously reported reduced glial cell numbers in BA24 of patients diagnosed with either familial BD or familial major depressive disorder. qPCR analysis of laser-microdissected neuronal and glial cells from BA24 cortical samples of BD patients verified that the glial, but not neuronal, population exhibits significantly increased miR-149 expression. Finally, we report altered expression of both miR-149 and miR-29c in EVs extracted from brains of Flinders Sensitive Line rats, a well-validated animal model exhibiting depressive-like behaviors and glial (astrocytic) dysfunction. These findings warrant future investigations into the potential of using EV miRNA signatures as biomarkers to further enhance the biological definition of BD. © 2017 Wiley Periodicals, Inc.

Full Text

Duke Authors

Cited Authors

  • Choi, JL; Kao, PF; Itriago, E; Zhan, Y; Kozubek, JA; Hoss, AG; Banigan, MG; Vanderburg, CR; Rezvani, AH; Latourelle, JC; Cabral, H; Delalle, I

Published Date

  • April 2017

Published In

Volume / Issue

  • 174 / 3

Start / End Page

  • 315 - 323

PubMed ID

  • 28190298

Pubmed Central ID

  • 28190298

Electronic International Standard Serial Number (EISSN)

  • 1552-485X

Digital Object Identifier (DOI)

  • 10.1002/ajmg.b.32518

Language

  • eng

Conference Location

  • United States