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Transcriptome Changes in Relation to Manic Episode.

Ya-Chin Lee1, Yu-Lin Chao2, Chiao-Erh Chang1

  • 1Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.

Frontiers in Psychiatry
|May 24, 2019
PubMed
Summary
This summary is machine-generated.

This study identified key gene expression changes in bipolar disorder (BD) patients during manic episodes. Specific long noncoding RNAs, microRNAs, and coding genes like MS4A14 were upregulated, offering potential biomarkers for mania.

Keywords:
RNA-sequencingbipolar disordermanic episodemicroarraynoncoding RNAsstate markerstranscriptome

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Area of Science:

  • Neuroscience
  • Genetics
  • Molecular Biology

Background:

  • Bipolar disorder (BD) is a highly heritable mental health condition characterized by recurrent manic and depressive episodes.
  • Understanding the molecular underpinnings of these episodes, particularly the manic state, is crucial for developing targeted treatments.

Purpose of the Study:

  • To investigate state-specific transcriptome alterations in bipolar disorder patients during acute manic episodes versus remission.
  • To identify differentially expressed genes (DEGs), including messenger RNAs (mRNAs), long noncoding RNAs (lncRNAs), and micro-RNAs (miRNAs), associated with the manic state.

Main Methods:

  • Utilized microarray and RNA sequencing (RNA-Seq) platforms to analyze peripheral blood samples from BD patients at acute and remission states.
  • Conducted intraindividual analysis using a linear model controlling for symptom severity (Young Mania Rating Scale).
  • Performed mega-analysis of existing microarray data and weight gene coexpression network analysis.

Main Results:

  • Noncoding genes predominated among top DEGs in microarray data; moderate to high correlations in coding gene expression changes were observed across platforms.
  • Specific lncRNAs and two miRNAs (MIR181B1, MIR103A1) showed higher expression during manic states.
  • Taste function genes (TAS2R5, TAS2R3) and four upregulated genes (MS4A14, PYHIN1, UTRN, DMXL2) were identified as potential mania state-specific markers, validated by qRT-PCR.
  • Gene coexpression network analysis revealed pathways related to immune function, particularly cytokine-cytokine receptor interaction, were associated with manic episodes.

Conclusions:

  • The study identified potential molecular targets and genomic networks involved in the manic episode of bipolar disorder.
  • Upregulated genes MS4A14, PYHIN1, UTRN, and DMXL2, along with specific miRNAs and lncRNAs, represent promising biomarkers for the manic state.
  • Further research is warranted to validate these findings for their role in the etiology of bipolar illness and potential therapeutic applications.