Serum‑ based microRNA biomarkers for major depression: MiR‑ 16, miR‑ 135a, and miR‑ 1202

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GHEYSARZADEH ALI; SADEGHIFARD NOURKHODA; Afraidooni Loghman; Pooyan Farahnaz; MOFID MOHAMMAD REZA; VALADBEIGI HASSAN; Bakhtiari Hadi; Keikhavani Sattar

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Journal: JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS) Year:2018 | Volume:23 | Issue:8 Page(s): 0-0

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Title

Serum‑ based microRNA biomarkers for major depression: MiR‑ 16, miR‑ 135a, and miR‑ 1202

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Keywords

Depression

microRNAs

sensitivity

serum biomarker

specificity

Abstract

Background: Depression is a common medical condition with a high prevalence leading to emotional abnormality. Despite some drawbacks, Depression currently diagnosed using a combination of patient interviews and self‑ report questionnaires. Recently, there is emerging emphasis to establish biomarkers to diagnosis and clinical management of Depression. This case– control study was designed to develop microRNA (miRNA)‑ based serum biomarker for Depression. Materials and Methods: In this study, 39 patients with Depression and 36 healthy controls were enrolled. Serum miRNAs gene expression was measured using real‑ time polymerase chain reaction (PCR) analysis; finally, the data represent as the 2– Δ Ct followed by further statistical analysis. Results: The serum level of miR‑ 16 was significantly (P < 0. 001) down‑ regulated (mean: 0. 9123 and standard deviation [SD]: 0. 06) in compared to normal individuals (mean: 1. 6848 and SD: 0. 09). The concentration of miR‑ 135a was also catastrophically decreased (P < 0. 001) in the patients (mean: 1. 160 and SD: 0. 07) in compared to control (mean: 1. 819 and SD: 0. 09). The relative miR‑ 1202 expression levels were significantly lower (P < 0. 001) in the patients (mean: 0. 1755 and SD: 0. 01) than in the healthy individuals (mean: 0. 2939 and SD: 0. 01). The receiver operating characteristic curve analysis indicated the obvious separation between patient and healthy control, with an AUC of 0. 75 (95% confidence interval [CI] = 0. 642– 0. 858, P < 0. 001), 0. 72 (95% CI = 0. 607– 0. 834, P < 0. 001), and 0. 74 (95% CI = 0. 630– 0. 861, P < 0. 001) for miR‑ 16, miR‑ 135a, and miR‑ 1202, respectively. The data suggest that these miRNAs have a potential to be used as a biomarker of Depression with sensitivity 77. 8% and specificity of 61. 5% for miR‑ 16, 94. 4% and 41. 0% for miR‑ 135a as well as 86. 1% and 61. 5% for miR‑ 1202, respectively (P < 0. 001). Conclusion: Our findings showed that these miRNA can be used as a biomarker of Depression diagnosis. MiR‑ 135a and miR‑ 1202 exhibited better sensitivity and specificity, respectively.

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APA: Copy

GHEYSARZADEH, ALI, SADEGHIFARD, NOURKHODA, Afraidooni, Loghman, Pooyan, Farahnaz, MOFID, MOHAMMAD REZA, VALADBEIGI, HASSAN, Bakhtiari, Hadi, & Keikhavani, Sattar. (2018). Serum‑ based microRNA biomarkers for major depression: MiR‑ 16, miR‑ 135a, and miR‑ 1202. JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS), 23(8), 0-0. SID. https://sid.ir/paper/725524/en

Vancouver: Copy

GHEYSARZADEH ALI, SADEGHIFARD NOURKHODA, Afraidooni Loghman, Pooyan Farahnaz, MOFID MOHAMMAD REZA, VALADBEIGI HASSAN, Bakhtiari Hadi, Keikhavani Sattar. Serum‑ based microRNA biomarkers for major depression: MiR‑ 16, miR‑ 135a, and miR‑ 1202. JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS)[Internet]. 2018;23(8):0-0. Available from: https://sid.ir/paper/725524/en

IEEE: Copy

ALI GHEYSARZADEH, NOURKHODA SADEGHIFARD, Loghman Afraidooni, Farahnaz Pooyan, MOHAMMAD REZA MOFID, HASSAN VALADBEIGI, Hadi Bakhtiari, and Sattar Keikhavani, “Serum‑ based microRNA biomarkers for major depression: MiR‑ 16, miR‑ 135a, and miR‑ 1202,” JOURNAL OF RESEARCH IN MEDICAL SCIENCES (JRMS), vol. 23, no. 8, pp. 0–0, 2018, [Online]. Available: https://sid.ir/paper/725524/en

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