Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients
Introduction
Major depressive disorder (MDD) is a common psychiatric illness with a high lifetime prevalence (2–14%) (Falagas et al., 2007), resulting in heavy social and economic burdens. Despite unremitting efforts of a few decades, the molecular and cellular mechanisms associated with MDD remain unclear. Currently, diagnosis and treatment of MDD are based on the patient's subjective description of symptoms, psychiatrists' subjective assessment of mental status with relevant scales and clinical behavioral observations. No objective biomarker is available for accurate diagnosis of MDD patients, and thus the chances of misdiagnosis and mistreatment are unavoidable. There is an urgent need for a sensitive and specific biomarker for the proper diagnosis of MDD. Due to the difficulty in fully understanding the pathophysiology of the disease, biomarker study in MDD proved difficult. Previous studies have identified a number of factors such as growth factor, cytokine, endocrine factor, or metabolic marker, but none of them could serve as a clinically useful biomarker for MDD due to limited sensitivity and specificity (Schmidt et al., 2011).
MicroRNAs (miRNAs) are a large family of single-stranded noncoding RNAs, regulating diverse biological processes by negatively regulating gene expression at the post-transcriptional level (Huntzinger and Izaurralde, 2011). Single miRNA could regulate up to hundreds of genes, and collectively may regulate 50%–60% of total transcriptomes (Baek et al., 2008, Krol et al., 2010), suggesting that miRNAs may have pleiotropic biological effects. Accumulating evidences have shown that miRNAs are implicated in multiple biological processes associating with central nervous system, including neurogenesis, neuronal proliferation, synaptic plasticity (Cheng et al., 2009, Liu et al., 2010, Zeng, 2009) and so on. Recent studies have demonstrated that specific miRNAs expression can be detected in peripheral blood in many diseases (Ajit, 2012, Wittmann and Jäck, 2010, Xu et al., 2012), including neuropsychiatric disorder (Gardiner et al., 2011, Katsuura et al., 2012, Lai et al., 2011, Rong et al., 2011). Given that gene expression profiling and certain mRNA in blood levels has shown to be correlated with brain levels (Gladkevich et al., 2004, Glatt et al., 2005, Marazziti et al., 2010, Vawter et al., 2001), a growing number of studies on psychiatric illness have focused on miRNAs in peripheral blood. In fact, since brain tissue is not readily accessible, blood-based miRNAs, being inexpensive, noninvasive and easy to collect, have become an increasingly important approach to identify clinically applicable biomarkers for MDD. Altered peripheral miRNA expression has been detected in some mental disorders such as schizophrenia, bipolar disorder, Alzheimer's disease (Lai et al., 2011, Rong et al., 2011, Song et al., 2014, Tan et al., 2014). Interestingly, the miRNA expression profiling correlates closely with the clinical symptoms (Lai et al., 2011), suggesting the lymphocyte might reflect the metabolism of brain cells.
Recent investigations have suggested that miRNAs have been involved in several pathways which may contribute to MDD pathomechanism (Meerson et al., 2010, Saus et al., 2010, Vreugdenhil et al., 2009). Saus et al. found that abnormal processing of pre-miR-182 in patients carrying the T allele of the rs76481776 polymorphism may contribute to the dysregulation of circadian rhythms in MDD patients with insomnia, which could influence expression levels of the mature form of miRNA-182, and might intensify downregulation in some of its target genes (Saus et al., 2010). Xu et al. conducted an association analyses in 1088 MDD patients and 1102 control subjects from the Han Chinese population and detected a statistically significant positive association between miRNA-30e ss178077483 and MDD (Xu et al., 2010). Szulwach et al. found that MeCP2, a DNA methyl-CpG–binding protein, can epigenetically regulate specific miRNA-137 in adult neural stem cells (aNSCs) (Szulwach et al., 2010). Kawashima et al. verified that U0126,an inhibitor of the MAPK/ERK pathway, suppressed the BDNF-increased miRNA-132, suggesting that BDNF upregulates miRNA-132 via the MAPK/ERK1/2 pathway (Kawashima et al., 2010).
So far, there has been few reports on miRNA profiling from PBMC in MDD. The present study aimed to analyze the miRNAs that might be involved in MDD pathomechanism, and evaluate the feasibility of using them as non-invasive biomarkers. Putative target genes of the differentially expressed miRNAs and their possible functions and biological mechanisms were investigated using bioinformatic tools.
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Patients
Ninety-one patients who met the criteria of the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) were enrolled from No.102 Hospital of the Chinese People's Liberation Army from July 2012 to May 2013. Diagnoses were made by two psychiatrists independently, and were further confirmed by an additional chief psychiatrist. Patients were either first visitors or prior to any clinical treatment, or drug naive from any antidepressant for at least 3 month before study
Clinical characteristics of the patients
As shown in Table 1, the mean age (mean ± SD) of patients in case and control group was 33.3 ± 15.0 and 33.4 ± 15.4 years respectively. All the patients and controls were of Han nationality, and there were no differences in age, sex or residential locations between MDD patients and healthy controls. The mean score of HAMD was 25.27 ± 5.03.
MiRNA microarray expression profiling
Using six blood samples (3 MDD patients and 3 controls) in microarray profiling, 26 miRNAs were identified with significantly different expression levels in
Discussion
Currently, the diagnosis of MDD is symptom-based in accordance with the DSM-IV criteria. But diagnosis of MDD is often difficult due to the fact that there is no effective diagnostic biomarker available. Despite decades of efforts on peripheral/serum growth factors, cytokines, hormones, and metabolic markers, a non-invasive, quantitative clinical test to aid the diagnosis of MDD remains elusive (Lakhan et al., 2010). However, miRNAs in peripheral blood represent a new potential approach for
Role of the funding source
This study had no funding source.
Author contributions
Hui-min Fan developed the clinical trial design, collected and organized information data from subjects, and wrote the first draft of the manuscript. Xin-yang Sun collected and organized the data, and participated in the critical discussion of the study design. Wei Guo invested in the study. Ai-fang Zhong and Yun-hua Dai were responsible for all the laboratory work.Lin Zhao and Wei Niu collected and organized the information data. Zhong-min Guo polished the manuscript. Li-yi Zhang came up with
Conflict of interest
The authors declare no conflict of interest.
Acknowledgments
We thank Gopath Global LLC., Chicago in USA for their professional laboratory services and No.102 Hospital clinical laboratory of PLA for their professional laboratory assistance. We thank all the subjects who participated in the study.
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These authors have contributed equally to this work and agreed to share the first authorship position together.