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MicroRNA Expression Aberration as Potential Peripheral Blood Biomarkers for Schizophrenia
Open accessAbstract
Since brain tissue is not readily accessible, a new focus in search of biomarkers for schizophrenia is blood-based expression profiling of non-protein coding genes such as microRNAs (miRNAs), which regulate gene expression by inhibiting the translation of messenger RNAs. This study aimed to identify potential miRNA signature for schizophrenia by comparing genome-wide miRNA expression profiles in patients with schizophrenia vs. healthy controls. A genome-wide miRNA expression profiling was performed using a Taqman array of 365 human miRNAs in the mononuclear leukocytes of a learning set of 30 cases and 30 controls. The discriminating performance of potential biomarkers was validated in an independent testing set of 60 cases and 30 controls. The expression levels of the miRNA signature were then evaluated for their correlation with the patients' clinical symptoms, neurocognitive performances, and neurophysiological functions. A seven-miRNA signature (hsa-miR-34a, miR-449a, miR-564, miR-432, miR-548d, miR-572 and miR-652) was derived from a supervised classification with internal cross-validation, with an area under the curve (AUC) of receiver operating characteristics of 93%. The putative signature was then validated in the testing set, with an AUC of 85%. Among these miRNAs, miR-34a was differentially expressed between cases and controls in both the learning (P = 0.005) and the testing set (P = 0.002). These miRNAs were differentially correlated with patients' negative symptoms, neurocognitive performance scores, and event-related potentials. The results indicated that the mononuclear leukocyte-based miRNA profiling is a feasible way to identify biomarkers for schizophrenia, and the seven-miRNA signature warrants further investigation.
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“miR-34 dysregulation is related to different psychiatric disorders, including schizophrenia236, Alzheimer’s disease,237 and MDD.238”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [236]
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Metadata
- Authors
- Lai, C.-Y., Yu, S.-L., Hsieh, M. H., Chen, C.-H., Chen, H.-Y., Wen, C.-C., Huang, Y.-H., Hsiao, P.-C., Hsiao, C. K., Liu, C.-M., Yang, P.-C., Hwu, H.-G., & Chen, W. J.
- Affiliations
- National Taiwan University (TW)
- Institute of Statistical Science, Academia Sinica (TW)
- Corresponding author
- Chen, Wei J.
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-06-29
- Volume
- 6
- Issue
- 6
- Pages
- e21635
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3126851
- OpenAlex
- W2065980876
- Cited by
- 228
- References
- 75
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 13 · 2023: 6 · 2022: 8 · 2021: 18 · 2020: 10 · 2019: 13 · 2018: 18 · 2017: 20 · 2016: 25 · 2015: 18 · 2014: 29 · 2013: 20 · 2012: 12
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Science Council (NSC98-2314-B-002-125-MY3)
- National Health Research Institutes (NHRI-EX99-9511PP)
- National Taiwan University (97R0337, 97HP0071, 97HP0023)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Keywords
- schizophrenia, microRNA expression, peripheral blood biomarkers, microRNA signature, mononuclear leukocytes, miR-34a, negative symptoms, neuropsychological performance, event-related potentials, blood-based diagnosis
- MeSH terms
- Humans, Schizophrenia, Biomarkers, Case-Control Studies, MicroRNAs
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