Genome-wide miRNA expression profiling of human lymphoblastoid cell lines identifies tentative SSRI antidepressant response biomarkers

Keren Oved, Ayelet Morag, Metsada Pasmanik-Chor, Varda Oron-Karni, Noam Shomron, Moshe Rehavi, Julia C. Stingl, David Gurwitz*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

Aim: Over 30% of patients with major depression do not respond well to first-line treatment with selective serotonin reuptake inhibitors (SSRIs). Using genome-wide expression profiling of human lymphoblastoid cell lines (LCLs) CHL1 was identified as a tentative SSRI sensitivity biomarker. This study reports on miRNAs implicated in SSRI sensitivity of LCLs. Methods: Eighty LCLs were screened from healthy adult female individuals for growth inhibition by paroxetine. Eight LCLs exhibiting high or low sensitivities to paroxetine were chosen for genome-wide expression profiling with miRNA microarrays. Results: The miRNA miR-151-3p had 6.7-fold higher basal expression in paroxetine-sensitive LCLs. This corresponds with lower expression of CHL1, a target of miR-151-3p. The additional miRNAs miR-212, miR-132, miR-30b*, let-7b and let-7c also differed by >1.5-fold (p < 0.05) between the two LCL groups. Conclusion: The potential value of these miRNAs as tentative SSRI response biomarkers awaits validation with lymphocyte samples of major depression patients. Original submitted 28 March 2012; Revision submitted 21 May 201.

Original languageEnglish
Pages (from-to)1129-1139
Number of pages11
JournalPharmacogenomics
Volume13
Issue number10
DOIs
StatePublished - Jul 2012

Funding

FundersFunder number
National Institute on Deafness and Other Communication DisordersR01DC011835

    Keywords

    • CHL1
    • genome-wide expression profiling
    • let-7b
    • let-7c
    • miR-132
    • miR-151-3p
    • miR-212
    • miR-30b
    • selective serotonin reuptake inhibitors

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