Identification of suitable plasma-based reference genes for miRNAome analysis of major depressive disorder.

BACKGROUND

Mounting evidence has demonstrated microRNA involvement in the set of diverse pathways associated with major depressive disorder (MDD). Reverse transcription quantitative real-time PCR (RT-qPCR) has been widely used in microRNA expression studies. To achieve accurate and reproducible microRNA RT-qPCR data, reference genes are required. The goal of this study is to systematically identify suitable reference genes for normalizing RT-qPCR assays of microRNA expression in the plasma of MDD patients.

METHODS

Candidate reference genes were selected from plasma samples of both MDD and healthy controls by miRNA microarrays, in addition to a frequently used reference gene - U6 small nuclear RNA. Putative reference genes were thereafter validated by RT-qPCR in plasma samples, and analyzed by the four statistical algorithms geNorm, NormFinder, BestKeeper and the comparative delta-Ct method. Finally, the validity of the selected reference genes was assessed with two significantly decreased miRNAs identified by microarray.

RESULTS

Five miRNAs (miR-320d, miR-101-3p, miR-106a-5p, miR-423-5p, miR-93-5p) based on microarray data and U6 were identified as putative reference genes. The results of the merged data from four statistical algorithms revealed that the most adequate microRNAs tested for normalization were miR-101-3p and miR-93-5p. Assessment of the validity of the selected reference genes confirms the suitability of applying the combination of miR-101-3p and miR-93-5p as optimal references genes.

LIMITATIONS

Relatively small sample size; and lack of other disease groups.

CONCLUSIONS

The normalization methods proposed here can contribute to improve studies on MDD biomarker identification and/or pathogenesis by providing more reliable and accurate expression measurements.