Literature DB >> 29407286

Examining redox modulation pathways in the post-mortem frontal cortex in patients with bipolar disorder through data mining of microRNA expression datasets.

Helena Kyunghee Kim1, Kathrin Tyryshkin2, Nika Elmi3, Harriet Feilotter4, Ana Cristina Andreazza5.   

Abstract

The etiology of redox (reduction and oxidation) alterations in bipolar disorder (BD) is largely unknown. To explore whether microRNAs targeting redox enzymes may have a role in BD, we examined 3 frontal cortex microRNA expression datasets (Perkins [2007], Vladimirov [2009], and Miller [2009]; N for BD = 30-36 per dataset, N for controls = 28-34 per dataset) from the Stanley Neuropathology Consortium. Each dataset was analyzed separately because they were generated using different high-throughput platforms. Following the selection of only redox modulator-targeting microRNAs, microRNAs in the top 10th percentile in feature selection could together discriminate BD and controls at a greater frequency than expected by chance in classification analysis. In pathway enrichment analysis of all three datasets, these classifying microRNAs targeted the cellular nitrogen compound metabolic process pathway, which includes redox enzymes of the mitochondrial electron transport chain and the glutathione system. To see if this pathway would still emerge as significant if all microRNAs (not just redox-targeting) were analyzed, all analyses were repeated with the complete set of microRNAs. Cellular nitrogen compound metabolic process pathway was enriched in all 3 datasets in this analysis as well, demonstrating that preselection of redox microRNAs was not a requirement to identify this pathway for the discrimination of BD and controls. While preliminary, our findings suggest that microRNAs that target redox enzymes in this pathway may be good candidates for the exploration of causative factors contributing to redox alterations in BD. Future studies validating these findings in a separate set of central and peripheral samples are warranted.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bipolar disorder; Data mining; Mitochondria; Oxidative stress; Redox modulation; microRNA

Mesh:

Substances:

Year:  2018        PMID: 29407286     DOI: 10.1016/j.jpsychires.2018.01.011

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  5 in total

1.  Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia.

Authors:  Thomas S Wingo; Jingjing Yang; Wen Fan; Se Min Canon; Ekaterina Sergeevna Gerasimov; Adriana Lori; Benjamin Logsdon; Bing Yao; Nicholas T Seyfried; James J Lah; Allan I Levey; Patricia A Boyle; Julia A Schneider; Philip L De Jager; David A Bennett; Aliza P Wingo
Journal:  NPJ Genom Med       Date:  2020-02-06       Impact factor: 8.617

Review 2.  Insights into myelin dysfunction in schizophrenia and bipolar disorder.

Authors:  Marcela Valdés-Tovar; Alejandra Monserrat Rodríguez-Ramírez; Leslye Rodríguez-Cárdenas; Carlo E Sotelo-Ramírez; Beatriz Camarena; Marco Antonio Sanabrais-Jiménez; Héctor Solís-Chagoyán; Jesús Argueta; Germán Octavio López-Riquelme
Journal:  World J Psychiatry       Date:  2022-02-19

3.  A Computational Approach to Identification of Candidate Biomarkers in High-Dimensional Molecular Data.

Authors:  Justin Gerolami; Justin Jong Mun Wong; Ricky Zhang; Tong Chen; Tashifa Imtiaz; Miranda Smith; Tamara Jamaspishvili; Madhuri Koti; Janice Irene Glasgow; Parvin Mousavi; Neil Renwick; Kathrin Tyryshkin
Journal:  Diagnostics (Basel)       Date:  2022-08-18

Review 4.  A Comprehensive Review on the Role of Non-Coding RNAs in the Pathophysiology of Bipolar Disorder.

Authors:  Soudeh Ghafouri-Fard; Elham Badrlou; Mohammad Taheri; Kenneth M Dürsteler; Annette Beatrix Brühl; Dena Sadeghi-Bahmani; Serge Brand
Journal:  Int J Mol Sci       Date:  2021-05-13       Impact factor: 5.923

5.  Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia.

Authors:  Thomas S Wingo; Jingjing Yang; Wen Fan; Se Min Canon; Ekaterina Sergeevna Gerasimov; Adriana Lori; Benjamin Logsdon; Bing Yao; Nicholas T Seyfried; James J Lah; Allan I Levey; Patricia A Boyle; Julia A Schneider; Philip L De Jager; David A Bennett; Aliza P Wingo
Journal:  NPJ Genom Med       Date:  2020-02-06       Impact factor: 8.617

  5 in total

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