Identification of miR-22-3p, miR-92a-3p, and miR-137 in peripheral blood as biomarker for schizophrenia

•Differentially expressed microRNAs were identified in the peripheral blood of first-onset schizophrenia patients and controls.•MiR-22-3p, miR-92a-3p, and miR-137 could be used in combination as a biomarker for schizophrenia.•The target genes of miR-22-3p, miR-92a-3p, and miR-137 are associated with...

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Published inPsychiatry research Vol. 265; pp. 70 - 76
Main Authors Ma, Jie, Shang, Shanshan, Wang, Jihan, Zhang, Tianbu, Nie, Fayi, Song, Xiaobin, Heping Zhao, Zhu, Chunhui, Zhang, Rui, Hao, Dingjun
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.07.2018
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Abstract •Differentially expressed microRNAs were identified in the peripheral blood of first-onset schizophrenia patients and controls.•MiR-22-3p, miR-92a-3p, and miR-137 could be used in combination as a biomarker for schizophrenia.•The target genes of miR-22-3p, miR-92a-3p, and miR-137 are associated with synaptic structure and function. MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved. Although postmortem brain samples provide direct evidence of miRNA dysregulation within the brain, peripheral tissue samples can be obtained from living subjects and have the potential to yield biomarkers that could be used as diagnostic tools. To verify and detect additional miRNAs differentially expressed in peripheral blood and further explore their diagnostic value and function for schizophrenia, we performed a next-generation sequencing approach in combination with a literature search to select appropriate miRNAs. We then used real-time quantitative polymerase chain reaction (RT-qPCR) to identify miRNAs expressed aberrantly in schizophrenia. Binary regression analysis identified miR-22-3p, miR-92a-3p, and miR-137. Analysis of receiver operating characteristics (ROC) indicated that these three miRNAs could be used in combination as a biomarker for schizophrenia. Bioinformatic analyses of these genes and gene ontology (GO) enrichment revealed that the combination of miR-22-3p, miR-92a-3p, and miR-137 was closely associated with synaptic structure and function, which play important roles in the etiology and pathophysiology of schizophrenia.
AbstractList MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved. Although postmortem brain samples provide direct evidence of miRNA dysregulation within the brain, peripheral tissue samples can be obtained from living subjects and have the potential to yield biomarkers that could be used as diagnostic tools. To verify and detect additional miRNAs differentially expressed in peripheral blood and further explore their diagnostic value and function for schizophrenia, we performed a next-generation sequencing approach in combination with a literature search to select appropriate miRNAs. We then used real-time quantitative polymerase chain reaction (RT-qPCR) to identify miRNAs expressed aberrantly in schizophrenia. Binary regression analysis identified miR-22-3p, miR-92a-3p, and miR-137. Analysis of receiver operating characteristics (ROC) indicated that these three miRNAs could be used in combination as a biomarker for schizophrenia. Bioinformatic analyses of these genes and gene ontology (GO) enrichment revealed that the combination of miR-22-3p, miR-92a-3p, and miR-137 was closely associated with synaptic structure and function, which play important roles in the etiology and pathophysiology of schizophrenia.MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved. Although postmortem brain samples provide direct evidence of miRNA dysregulation within the brain, peripheral tissue samples can be obtained from living subjects and have the potential to yield biomarkers that could be used as diagnostic tools. To verify and detect additional miRNAs differentially expressed in peripheral blood and further explore their diagnostic value and function for schizophrenia, we performed a next-generation sequencing approach in combination with a literature search to select appropriate miRNAs. We then used real-time quantitative polymerase chain reaction (RT-qPCR) to identify miRNAs expressed aberrantly in schizophrenia. Binary regression analysis identified miR-22-3p, miR-92a-3p, and miR-137. Analysis of receiver operating characteristics (ROC) indicated that these three miRNAs could be used in combination as a biomarker for schizophrenia. Bioinformatic analyses of these genes and gene ontology (GO) enrichment revealed that the combination of miR-22-3p, miR-92a-3p, and miR-137 was closely associated with synaptic structure and function, which play important roles in the etiology and pathophysiology of schizophrenia.
MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved. Although postmortem brain samples provide direct evidence of miRNA dysregulation within the brain, peripheral tissue samples can be obtained from living subjects and have the potential to yield biomarkers that could be used as diagnostic tools. To verify and detect additional miRNAs differentially expressed in peripheral blood and further explore their diagnostic value and function for schizophrenia, we performed a next-generation sequencing approach in combination with a literature search to select appropriate miRNAs. We then used real-time quantitative polymerase chain reaction (RT-qPCR) to identify miRNAs expressed aberrantly in schizophrenia. Binary regression analysis identified miR-22-3p, miR-92a-3p, and miR-137. Analysis of receiver operating characteristics (ROC) indicated that these three miRNAs could be used in combination as a biomarker for schizophrenia. Bioinformatic analyses of these genes and gene ontology (GO) enrichment revealed that the combination of miR-22-3p, miR-92a-3p, and miR-137 was closely associated with synaptic structure and function, which play important roles in the etiology and pathophysiology of schizophrenia.
•Differentially expressed microRNAs were identified in the peripheral blood of first-onset schizophrenia patients and controls.•MiR-22-3p, miR-92a-3p, and miR-137 could be used in combination as a biomarker for schizophrenia.•The target genes of miR-22-3p, miR-92a-3p, and miR-137 are associated with synaptic structure and function. MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved. Although postmortem brain samples provide direct evidence of miRNA dysregulation within the brain, peripheral tissue samples can be obtained from living subjects and have the potential to yield biomarkers that could be used as diagnostic tools. To verify and detect additional miRNAs differentially expressed in peripheral blood and further explore their diagnostic value and function for schizophrenia, we performed a next-generation sequencing approach in combination with a literature search to select appropriate miRNAs. We then used real-time quantitative polymerase chain reaction (RT-qPCR) to identify miRNAs expressed aberrantly in schizophrenia. Binary regression analysis identified miR-22-3p, miR-92a-3p, and miR-137. Analysis of receiver operating characteristics (ROC) indicated that these three miRNAs could be used in combination as a biomarker for schizophrenia. Bioinformatic analyses of these genes and gene ontology (GO) enrichment revealed that the combination of miR-22-3p, miR-92a-3p, and miR-137 was closely associated with synaptic structure and function, which play important roles in the etiology and pathophysiology of schizophrenia.
Author Zhu, Chunhui
Shang, Shanshan
Wang, Jihan
Zhang, Tianbu
Song, Xiaobin
Heping Zhao
Hao, Dingjun
Zhang, Rui
Nie, Fayi
Ma, Jie
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  surname: Ma
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  organization: Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
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  surname: Zhang
  fullname: Zhang, Tianbu
  organization: Department of Psychiatry, Shaanxi Provincial People's Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710068, China
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  fullname: Song, Xiaobin
  organization: Translational Medicine Center, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China
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  surname: Heping Zhao
  fullname: Heping Zhao
  organization: Clinical laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China
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  givenname: Chunhui
  surname: Zhu
  fullname: Zhu, Chunhui
  organization: Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, China
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  givenname: Rui
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  givenname: Dingjun
  surname: Hao
  fullname: Hao, Dingjun
  email: haodingjun@126.com
  organization: Translational Medicine Center, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710054, China
BackLink https://www.ncbi.nlm.nih.gov/pubmed/29684772$$D View this record in MEDLINE/PubMed
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Keywords Schizophrenia
Synaptic function
Molecular diagnosis
MiRNA
Target gene
Language English
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Snippet •Differentially expressed microRNAs were identified in the peripheral blood of first-onset schizophrenia patients and controls.•MiR-22-3p, miR-92a-3p, and...
MicroRNAs (miRNAs) are a class of endogenous and non-coding single-stranded RNAs with length of about 22 nucleotides, and many are evolutionarily conserved....
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SubjectTerms Adult
Biomarkers - blood
Female
Gene Expression Profiling - methods
Gene Regulatory Networks - physiology
Humans
Male
MicroRNAs - blood
MicroRNAs - genetics
MiRNA
Molecular diagnosis
Real-Time Polymerase Chain Reaction - methods
Schizophrenia
Schizophrenia - blood
Schizophrenia - diagnosis
Schizophrenia - genetics
Synaptic function
Target gene
Title Identification of miR-22-3p, miR-92a-3p, and miR-137 in peripheral blood as biomarker for schizophrenia
URI https://www.clinicalkey.com/#!/content/1-s2.0-S016517811731274X
https://dx.doi.org/10.1016/j.psychres.2018.03.080
https://www.ncbi.nlm.nih.gov/pubmed/29684772
https://www.proquest.com/docview/2031031067
Volume 265
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