MicroRNAs and exosomes in depression: Potential diagnostic biomarkers

被引:140
|
作者
Tavakolizadeh, Jahanshir [1 ]
Roshanaei, Kambiz [2 ]
Salmaninejad, Arash [3 ]
Yari, Reza [4 ]
Nahand, Javid Sadri [5 ]
Sarkarizi, Hoda Khoshdel [6 ]
Mousavi, Seyed Mojtaba [7 ]
Salarinia, Reza [8 ]
Rahmati, Majid [9 ]
Mousavi, Seyed Farshid [10 ]
Mokhtari, Ryan [11 ]
Mirzaei, Hamed [12 ]
机构
[1] Gonabad Univ Med Sci, Dept Psychol, Sch Med, Gonabad, Iran
[2] Islamic Azad Univ, Dept Biol, Qom Branch, Qom, Iran
[3] Tabriz Univ Med Sci, Drug Appl Res Ctr, Student Res Comm, Tabriz, Iran
[4] Islamic Azad Univ, Borujerd Branch, Dept Biol, Fac Sci, Borujerd, Iran
[5] Iran Univ Med Sci, Dept Virol, Sch Med, Tehran, Iran
[6] Mashhad Univ Med Sci, Fac Med, Dept Anat Sci & Cell Biol, Mashhad, Iran
[7] Univ Tehran Med Sci, Dept Neurosci, Sch Adv Technol Med, Tehran, Iran
[8] North Khorasan Univ Med Sci, Dept Med Biotechnol & Mol Sci, Sch Med, Bojnurd, Iran
[9] Shahroud Univ Med Sci, Dept Med Biotechnol, Sch Med, Shahroud, Iran
[10] Islamic Azad Univ, Cent Tehran Branch, Dept Genet, Fac Basic Sci, Tehran, Iran
[11] SUNY Upstate Med Univ, Dept Neurosci & Physiol, Syracuse, NY 13210 USA
[12] Mashhad Univ Med Sci, Dept Med Biotechnol, Sch Med, Mashhad, Iran
关键词
biomarker; depression; diagnosis; exosome; MicroRNA; therapy; MAJOR DEPRESSION; GLUCOCORTICOID-RECEPTOR; CIRCULATING MICRORNAS; EXPRESSION PROFILE; MESSENGER-RNAS; DISORDER; TARGETS; BEHAVIORS; RATS; SUSCEPTIBILITY;
D O I
10.1002/jcb.26599
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Depression is known as one of important psychiatric disorders which could be associated with disability among various populations. Diagnostic and statistical manual of mental disorders, 4th edition (DSM-IV) and international statistical classification of diseases and related health problems (ICD-10) could be used as subjective diagnostic schemes for identification of mental disorders such as depression. Utilization of subjective diagnostic schemes are associated with limitations. Hence, it seems that employing of new diagnosis platforms is required. Multiple lines of evidence indicated that measurement of several biomarkers could be useful for detection patients with depression. Among of various types of biomarkers, microRNAs (miRNAs) have been emerged as powerful tools for diagnosis patients with depression. MiRNAs are small non-coding RNAs which act as epigenetic regulators. It has been showed that these molecules have critical roles in pathogenesis of many diseases such as depression. These molecules exert their effects via targeting a variety of cellular and molecular pathways involved in initiation and progression of depression. Hence, miRNAs could be used as diagnostic and therapeutic biomarkers in patients with depression. Besides miRNAs, exosomes as nano- carriers could have been emerged as diagnostic biomarkers in several diseases such as depression. These vesicles are able to carry several cargos such as DNAs, proteins, mRNAs, and miRNAs to recipient cells. Here, we summarized several miRNAs involved in pathogenesis and response to treatment of depression which could be used as diagnostic biomarkers. Moreover, we highlighted exosomes as new diagnostic biomarkers for patients with depression. Depression has been emerged as one of important public health problems which could be associated with disability among various cases. One of main aspects of depression therapy is diagnosis and monitoring patients with depression. It has been showed that utilization of biomarkers could provide good data on diagnosis of patients with depression. Among of various biomarkers, microRNAs, and exosomes have been emerged as powerful tools for diagnosis and monitoring of patients with various diseases such as cancer and mental disorders. Multiple lines of evidence suggested that miRNAs could be used as diagnostic and therapeutic biomarkers for depression patients. It seems that future studies on the roles of miRNAs and exosomes in pathogenesis of depression could open new view for identification of various cellular and molecular mechanisms involved in depression. These data could contribute to better treatment of depression patients.
引用
收藏
页码:3783 / 3797
页数:15
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