Alterations of miR-132 are novel diagnostic biomarkers in peripheral blood of schizophrenia patients
Abstract
Alterations in microRNAs (miRNAs) have been considered to have diagnostic implications in most diseases, but few studies have reported dysregulated miRNAs in schizophrenia (SCZ). In order to observe an association between miRNAs and SCZ, this study was designed to investigate expression profiling of miRNAs in peripheral blood mononuclear cells (PBMCs). miRNA microarray technology was employed to compare the expression of miRNAs in PBMCs from SCZ patients (n=105) and normal controls (n=130), and real-time quantitative polymerase chain reaction (QPCR) was used to analyze the results. Several important miRNA levels were examined before and after antipsychotic treatment in first-onset SCZ patients. In addition, an SCZ-like rat model was established using dizocilpine (MK-801), and miR-132 expression in PBMCs and whole-brain tissue from SCZ-like rats was studied using QPCR. In humans, dysregulated miRNAs were observed before treatment and QPCR verified that miR-132, miR-134, miR-1271, miR-664(⁎), miR-200c and miR-432 levels were significantly decreased (P<0.01 for all) in PBMCs of SCZ patients compared with healthy controls. After antipsychotic treatment there was a marked increase in miR-132 (P<0.01), miR-664(⁎) (P<0.05) and miR-1271 (P<0.05) levels in SCZ patients compared with the levels before treatment. In the animal assays, miR-132 levels declined in PBMCs and whole-brain tissues (both P<0.05) of the SCZ-like rats compared to controls. For the first time, our results suggest that miR-132 is a potential and superior biomarker in peripheral blood that will allow discrimination of SCZ patients from healthy controls.
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Antipsychotic treatment increases miR-132, miR-664, and miR-1271 compared with pre-treatment levels.
“antipsychotic treatment increases miR-132, miR-664, and miR-1271 compared with pre-treatment levels”
From The clinical use of epigenetics in psychiatry: a narrative review of epigenetic mechanisms, key candidate genes, and precision psychiatry (2025) · cites this paper as [37]
In schizophrenia, miR-132, miR-134, miR-1271, miR-664, miR-200c, and miR-432 are significantly decreased.
“In schizophrenia, miR-132, miR-134, miR-1271, miR-664, miR-200c, and miR-432 are significantly decreased”
From The clinical use of epigenetics in psychiatry: a narrative review of epigenetic mechanisms, key candidate genes, and precision psychiatry (2025) · cites this paper as [37]
Cites
Real-time quantification of microRNAs by stem-loop RT-PCR
Chen, C. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni178 · Cited by 4,931 · see citing works
Schizophrenia as a Complex Trait: Evidence From a Meta-analysis of Twin Studies
Sullivan, P. F., Kendler, K. S., & Neale, M. C. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.12.1187 · Cited by 2,356 · see citing works
The Noncoding RNA Revolution—Trashing Old Rules to Forge New Ones
Cech, T. R., & Steitz, J. A. (2014) · Cell · doi:10.1016/j.cell.2014.03.008 · Cited by 2,270 · see citing works
Genome-wide association study identifies five new schizophrenia loci
The Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (2011) · Nature Genetics · doi:10.1038/ng.940 · Cited by 1,919 · see citing works
MicroRNAs Regulate Brain Morphogenesis in Zebrafish
Giraldez, A. J., Cinalli, R. M., Glasner, M. E., Enright, A. J., Thomson, J. M., Baskerville, S., Hammond, S. M., Bartel, D. P., & Schier, A. F. (2005) · Science · doi:10.1126/science.1109020 · Cited by 1,124 · see citing works
Lujambio, A., & Lowe, S. W. (2012) · Nature · doi:10.1038/nature10888 · Cited by 1,084 · see citing works
Cogswell, J. P., Ward, J., Taylor, I. A., Waters, M., Shi, Y., Cannon, B., Kelnar, K., Kemppainen, J., Brown, D., Chen, C., et al. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-14103 · Cited by 943 · see citing works
Zhao, C., Sun, G., Li, S., & Shi, Y. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1576 · Cited by 521 · see citing works
MicroRNAs in neuronal function and dysfunction
Im, H.-I., & Kenny, P. J. (2012) · Trends in Neurosciences · doi:10.1016/j.tins.2012.01.004 · Cited by 399 · see citing works
Kapsimali, M., Kloosterman, W. P., de Bruijn, E., Rosa, F., Plasterk, R. H., & Wilson, S. W. (2007) · Genome Biology · doi:10.1186/gb-2007-8-8-r173 · Cited by 376 · see citing works
Fiore, R., Khudayberdiev, S., Christensen, M., Siegel, G., Flavell, S. W., Kim, T., Greenberg, M. E., & Schratt, G. (2009) · The EMBO Journal · doi:10.1038/emboj.2009.10 · Cited by 348 · see citing works
Miller, B. H., Zeier, Z., Xi, L., Lanz, T. A., Deng, S., Strathmann, J., Willoughby, D., Kenny, P. J., Elsworth, J. D., Lawrence, M. S., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113793109 · Cited by 309 · see citing works
Kim, A. H., Reimers, M., Maher, B., Williamson, V., McMichael, O., McClay, J. L., van den Oord, E. J. C. G., Riley, B. P., Kendler, K. S., & Vladimirov, V. I. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.07.002 · Cited by 298 · see citing works
MicroRNA-219 modulates NMDA receptor-mediated neurobehavioral dysfunction
Kocerha, J., Faghihi, M. A., López-Toledano, M. A., Huang, J., Ramsey, A. J., Caron, M. G., Salès, N., Willoughby, D., Elmén, J., Hansen, H. F., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805854106 · Cited by 292 · see citing works
Belzeaux-R, R., Bergon, A., Jeanjean, V., Loriod, B., Formisano‐Tréziny, C., Verrier, L., Loundou, A., Baumstarck, K., Boyer, L., Gall, V., et al. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.112 · Cited by 222 · see citing works
MicroRNA networks direct neuronal development and plasticity
Loohuis, N. F. M. O., Kos, A., Martens, G. J. M., van Bokhoven, H., Kasri, N. N., & Aschrafi, A. (2011) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-011-0788-1 · Cited by 220 · see citing works
MicroRNAs: Small molecules with big roles in neurodevelopment and diseases
Sun, E., & Shi, Y. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2014.08.005 · Cited by 178 · see citing works
Argonaute 2 in dopamine 2 receptor–expressing neurons regulates cocaine addiction
Schaefer, A., Im, H., Venø, M. T., Fowler, C. D., Min, A. K., Intrator, A., Kjems, J., Kenny, P. J., O’Carroll, D., & Greengard, P. (2010) · The Journal of Experimental Medicine · doi:10.1084/jem.20100451 · Cited by 146 · see citing works
Forensic miRNA: Potential biomarker for body fluids?
Silva, S. S., Lopes, C. D. F., Teixeira, A. L., Sousa, M., & Medeiros, R. (2014) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2014.09.002 · Cited by 131 · see citing works
XB130 promotes proliferation and invasion of gastric cancer cells
Shi, M., Zheng, D., Sun, L., Wang, L., Li, L., Wu, Y., Zhou, M., Liao, W., Liao, Y., Zuo, Q., et al. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-1 · Cited by 131 · see citing works
Potential Impact of miR-137 and Its Targets in Schizophrenia
Wright, C., Turner, J., Calhoun, V., & Perrone-Bizzozero, N. (2013) · Frontiers in Genetics · doi:10.3389/fgene.2013.00058 · Cited by 124 · see citing works
An eight-miRNA signature as a potential biomarker for predicting survival in lung adenocarcinoma
Li, X., Shi, Y., Yin, Z., Xue, X., & Zhou, B. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-159 · Cited by 124 · see citing works
Experience-dependent expression of miR-132 regulates ocular dominance plasticity
Tognini, P., Putignano, E., Coatti, A., & Pizzorusso, T. (2011) · Nature Neuroscience · doi:10.1038/nn.2920 · Cited by 108 · see citing works
Song, H., Sun, X., Zhang, L., Zhao, L., Guo, Z.-M., Fan, H., Zhong, A., Niu, W., Dai, Y., Zhang, L.-Y., et al. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.03.008 · Cited by 97 · see citing works
Self-citationMicroRNAs and target site screening reveals a pre-microRNA-30e variant associated with schizophrenia
Xu, Y. J., Li, F., Zhang, B., Zhang, K., Zhang, F., Huang, X., Sun, N., Ren, Y., Sui, M., & Liu, P. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.02.1070 · Cited by 93 · see citing works
MiRNA‐199a‐3p: A potential circulating diagnostic biomarker for early gastric cancer
Li, C., Li, J. F., Cai, Q., et al. (2013) · Journal of Surgical Oncology · doi:10.1002/jso.23358 · Cited by 83 · see citing works
Hill, M., Donocik, J. G., Nuamah, R. A., Mein, C. A., Sáinz‐Fuertes, R., & Bray, N. J. (2014) · Schizophrenia Research · doi:10.1016/j.schres.2014.01.034 · Cited by 65 · see citing works
Regulation of erythroid differentiation by miR-376a and its targets
Wang, F., Yu, J., Yang, G., Wang, X., & Zhang, J. (2011) · Cell Research · doi:10.1038/cr.2011.79 · Cited by 63 · see citing works
Wu, P., Zhang, X. D., Zhu, J., et al. (2014) · Human Pathology · doi:10.1016/j.humpath.2014.04.002 · Cited by 55 · see citing works
Self-citationGuo, C., Yang, Y., Su, Y., & Si, T. (2010) · BioMed Research International · doi:10.1155/2010/783297 · Cited by 40 · see citing works
Jansen, C., Eischeid, H., Goertzen, J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103779 · Cited by 23 · see citing works
Huang, Y., Pai, C.-H., Cheng, K.-H., Kuo, W.-I., Chen, M. W., & Chang, K. (2014) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2014.04.133 · Cited by 6 · see citing works
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Smigielski, L., Jagannath, V., Rössler, W., Walitza, S., & Grünblatt, E. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0601-3 · Cited by 168 · see citing works
Gruzdev, S. K., Yakovlev, A. A., Druzhkova, T. A., Guekht, A. B., & Gulyaeva, N. V. (2019) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-019-00684-6 · Cited by 75 · see citing works
Segaran, R. C., Chan, L. Y., Wang, H., Sethi, G., & Tang, F. R. (2020) · Current Medicinal Chemistry · doi:10.2174/0929867327666200121122910 · Cited by 42 · see citing works
Montel Hayes, R., Mason, C. E., & Miller, J. J. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1671122 · Cited by 5 · see citing works
- Authors
- Yu, H.-C., Wu, J., Zhang, H.-X., Zhang, G.-L., Sui, J., Tong, W.-W., Zhang, X.-Y., Nie, L.-L., Duan, J.-H., Zhang, L.-R., & Lv, L.-X.
- Affiliations
- Henan Medical University (CN)
- Venue
- Progress in Neuro-Psychopharmacology and Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 63
- Pages
- 23-29
- ISSN
- 0278-5846 (ISSN-L)
- OpenAlex
- W224004219
- Cited by
- 71
- References
- 32
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 9 · 2023: 10 · 2022: 6 · 2021: 6 · 2020: 7 · 2019: 6 · 2018: 4 · 2017: 3 · 2016: 7 · 2015: 1
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Progress in Neuro-Psychopharmacology and Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- 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, miR-132, miRNA expression profiling, peripheral blood mononuclear cells, diagnostic biomarkers, antipsychotic treatment response, miR-134, miR-200c, miR-432, first-episode schizophrenia
- MeSH terms
- Adolescent, Adult, Animals, Exploratory Behavior, Female, Gene Expression Regulation, Humans, Interpersonal Relations, Leukocytes, Mononuclear, Male, Retrospective Studies, ROC Curve, Schizophrenia, Antipsychotic Agents, Biomarkers, Chi-Square Distribution, Dizocilpine Maleate, Rats, Sprague-Dawley, Excitatory Amino Acid Antagonists, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, MicroRNAs, Rats, Young Adult
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