Open Access

Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics

  • Authors:
    • Xu You
    • Yunqiao Zhang
    • Qing Long
    • Zijun Liu
    • Xiao Ma
    • Zixiang Lu
    • Wei  Yang
    • Ziqiao Feng
    • Wengyu Zhang
    • Zhaowei Teng
    • Yong Zeng
  • View Affiliations

  • Published online on: September 15, 2020     https://doi.org/10.3892/mmr.2020.11513
  • Pages: 4340-4350
  • Copyright: © You et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Treatment‑resistant schizophrenia (TRS) is a common phenotype of schizophrenia that places a considerable burden on patients as well as on society. TRS is known for its tendency to relapse and uncontrollable nature, with a poor response to antipsychotics other than clozapine. Therefore, it is urgent to identify objective biological markers, so as to guide its treatment and associated clinical work. In the present study, the peripheral blood mononuclear cells (PBMCs) of patients with TRS and a healthy control group, which were gender‑, age‑ and ethnicity‑matched, were subjected to microRNA (miRNA/miR) sequencing to screen out the top three miRNAs with the highest fold change values. These were then validated in the TRS (n=34) and healthy control (n=31) groups by reverse transcription‑quantitative PCR. For two of the top three miRNAs, the PCR results were in accordance with the sequencing result (P<0.01), while the third miRNA exhibited the opposite trend (P<0.01). To elucidate the functions of these two miRNAs, Homo sapiens (hsa)‑miR‑218‑5p and hsa‑miR‑1262 and their regulatory network, target gene prediction was first performed using online TargetScan and Diana‑micro T software. Bioinformatics analysis was then performed using functional enrichment analysis to determine the Gene Ontology terms in the category biological process and the Kyoto Encyclopedia of Genes and Genomes pathways. It was revealed that these target genes were markedly associated with the nervous system and brain function, and it was obvious that the differentially expressed miRNAs most likely participated in the pathogenesis of TRS. A receiver operating characteristic curve was generated to confirm the distinct diagnostic value of these two miRNAs. It was concluded that aberrantly expressed miRNAs in PMBCs may be implicated in the pathogenesis of TRS and may serve as specific peripheral blood‑based biomarkers for the early diagnosis of TRS.
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November-2020
Volume 22 Issue 5

Print ISSN: 1791-2997
Online ISSN:1791-3004

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Copy and paste a formatted citation
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Spandidos Publications style
You X, Zhang Y, Long Q, Liu Z, Ma X, Lu Z, Yang W, Feng Z, Zhang W, Teng Z, Teng Z, et al: Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics. Mol Med Rep 22: 4340-4350, 2020
APA
You, X., Zhang, Y., Long, Q., Liu, Z., Ma, X., Lu, Z. ... Zeng, Y. (2020). Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics. Molecular Medicine Reports, 22, 4340-4350. https://doi.org/10.3892/mmr.2020.11513
MLA
You, X., Zhang, Y., Long, Q., Liu, Z., Ma, X., Lu, Z., Yang, W., Feng, Z., Zhang, W., Teng, Z., Zeng, Y."Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics". Molecular Medicine Reports 22.5 (2020): 4340-4350.
Chicago
You, X., Zhang, Y., Long, Q., Liu, Z., Ma, X., Lu, Z., Yang, W., Feng, Z., Zhang, W., Teng, Z., Zeng, Y."Investigating aberrantly expressed microRNAs in peripheral blood mononuclear cells from patients with treatment‑resistant schizophrenia using miRNA sequencing and integrated bioinformatics". Molecular Medicine Reports 22, no. 5 (2020): 4340-4350. https://doi.org/10.3892/mmr.2020.11513