The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Hippocampal MicroRNA-124 Enhances Chronic Stress Resilience in Mice
Open accessAbstract
UNLABELLED: Chronic stress-induced aberrant gene expression in the brain and subsequent dysfunctional neuronal plasticity have been implicated in the etiology and pathophysiology of mood disorders. In this study, we examined whether altered expression of small, regulatory, noncoding microRNAs (miRNAs) contributes to the depression-like behaviors and aberrant neuronal plasticity associated with chronic stress. Mice exposed to chronic ultra-mild stress (CUMS) exhibited increased depression-like behaviors and reduced hippocampal expression of the brain-enriched miRNA-124 (miR-124). Aberrant behaviors and dysregulated miR-124 expression were blocked by chronic treatment with an antidepressant drug. The depression-like behaviors are likely not conferred directly by miR-124 downregulation because neither viral-mediated hippocampal overexpression nor intrahippocampal infusion of an miR-124 inhibitor affected depression-like behaviors in nonstressed mice. However, viral-mediated miR-124 overexpression in hippocampal neurons conferred behavioral resilience to CUMS, whereas inhibition of miR-124 led to greater behavioral susceptibility to a milder stress paradigm. Moreover, we identified histone deacetylase 4 (HDAC4), HDAC5, and glycogen synthase kinase 3β (GSK3β) as targets for miR-124 and found that intrahippocampal infusion of a selective HDAC4/5 inhibitor or GSK3 inhibitor had antidepressant-like actions on behavior. We propose that miR-124-mediated posttranscriptional controls of HDAC4/5 and GSK3β expressions in the hippocampus have pivotal roles in susceptibility/resilience to chronic stress. SIGNIFICANCE STATEMENT: Depressive disorders are a major public health concern worldwide. Although a clear understanding of the etiology of depression is still lacking, chronic stress-elicited aberrant neuronal plasticity has been implicated in the pathophysiology of depression. We show that the hippocampal expression of microRNA-124 (miR-124), an endogenous small, noncoding RNA that represses gene expression posttranscriptionally, controls resilience/susceptibility to chronic stress-induced depression-like behaviors. These effects on depression-like behaviors may be mediated through regulation of the mRNA or protein expression levels of histone deacetylases HDAC4/5 and glycogen synthase kinase 3β, all highly conserved miR-124 targets. Moreover, miR-124 contributes to stress-induced dendritic hypotrophy and reduced spine density of dentate gyrus granule neurons. Modulation of hippocampal miR-124 pathways may have potential antidepressant effects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Drugs that inhibit HDAC4/5 and GSK3 have antidepressant-like effects on behavior.”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
In the citing paper
“We also recently reported that administration of an HDAC4/5 inhibitor into the hippocampus prevents chronic stress-induced depression-related behaviors”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
In the citing paper
“We recently demonstrated that miRNA mediate behavioral responses to chronic stress in rodents by regulating gene expression and synapse number”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
In the citing paper
“In contrast, reduced miR-124 expression enhances behavioral susceptibility to a subthreshold stress episode.”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
In the citing paper
“miR-124 targets Hdac4, Hdac5, and Gsk3b.”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
In the citing paper
“given that HDAC inhibitors and DNMT inhibitors exert antidepressant-like actions in several rodent models, [15][16][17]66,69,[71][72][73][74][75][76][77][78][79][80]164”
From Epigenetic mechanisms of major depression: Targeting neuronal plasticity (2018) · cites this paper as [17]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
The Mouse Brain in Stereotaxic Coordinates
Paxinos, G. (2001) · Cited by 12,859
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,526
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Physiology and neurobiology of stress and adaptation: central role of the brain
McEwen, B. S. (2007) · Physiological Reviews · doi:10.1152/physrev.00041.2006 · Cited by 5,429 · cited 2×
“The hippocampal formation is vulnerable to damage from a variety of psychological stressors (McEwen, 2001; Schoenfeld and Gould, 2012) and aberrant structural and functional changes in this brain structure have been implicated in the pathophysiology of depression (Nestler et al., 2002; McEwen, 2007; Schmidt and Duman,…”
BackgroundCombinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
Requirement of hippocampal neurogenesis for the behavioral effects of antidepressants
Santarelli, L., Saxe, M., Gross, C., Surget, A., Battaglia, F., Dulawa, S., Weisstaub, N., Lee, J., Duman, R., Arancio, O., et al. (2003) · Science · doi:10.1126/science.1083328 · Cited by 4,321
The Neuroendocrinology of Stress: A Never Ending Story
Lightman, S. L. (2008) · Journal of Neuroendocrinology · doi:10.1111/j.1365-2826.2008.01711.x · Cited by 3,588
Behavioral despair in mice: a primary screening test for antidepressants.
Porsolt, R. D., Bertin, A., & Jalfre, M. (1977) · PubMed · Cited by 3,320
Nestler, E. J., Barrot, M., DiLeone, R. J., Eisch, A. J., Gold, S. J., & Monteggia, L. M. (2002) · Neuron · doi:10.1016/s0896-6273(02)00653-0 · Cited by 3,217
Cited by
Sorted by citations
The recent progress in animal models of depression
Wang, Q., Timberlake, M. A., Prall, K., & Dwivedi, Y. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.04.008 · Cited by 370
Neurobiology of Resilience: Interface Between Mind and Body
Cathomas, F., Murrough, J. W., Nestler, E. J., Han, M.-H., & Russo, S. J. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.011 · Cited by 296
Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246
The stressed synapse 2.0: pathophysiological mechanisms in stress-related neuropsychiatric disorders
Sanacora, G., Yan, Z., & Popoli, M. (2022) · Nature Reviews Neuroscience · doi:10.1038/s41583-021-00540-x · Cited by 197
Epigenetic mechanisms of major depression: Targeting neuronal plasticity
Uchida, S., Yamagata, H., Seki, T., & Watanabe, Y. (2018) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12621 · Cited by 181
Self-citationA unified mechanism for intron and exon definition and back-splicing
Li, X., Liu, S., Zhang, L., Issaian, A., Hill, R. C., Espinosa, S., Shi, S., Cui, Y., Kappel, K., Das, R., et al. (2019) · Nature · doi:10.1038/s41586-019-1523-6 · Cited by 177
Ma, H., Li, C., Wang, J., Zhang, X., Li, M., Zhang, R., Huang, Z., & Zhang, Y. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2019409118 · Cited by 163
GSK-3β at the Intersection of Neuronal Plasticity and Neurodegeneration
Jaworski, T., Banach, E., & Gralec, K. (2019) · Neural Plasticity · doi:10.1155/2019/4209475 · Cited by 167
Gut Microbiota in Anxiety and Depression: Unveiling the Relationships and Management Options
Kumar, A., Pramanik, J., Goyal, N., Chauhan, D., Sivamaruthi, B. S., Prajapati, B. G., & Chaiyasut, C. (2023) · Pharmaceuticals · doi:10.3390/ph16040565 · Cited by 174
MicroRNA mediators of early life stress vulnerability to depression and suicidal behavior
Allen, L., & Dwivedi, Y. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0597-8 · Cited by 152
Liu, H., Zhang, C., Ji, Y., & Yang, L. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00326 · Cited by 170
Epigenetic programming of the neuroendocrine stress response by adult life stress
Dirven, B. C. J., Homberg, J. R., Kozicz, T., & Henckens, M. J. A. G. (2017) · Journal of Molecular Endocrinology · doi:10.1530/jme-17-0019 · Cited by 135
Epigenetics in depression and gut-brain axis: A molecular crosstalk
Begum, N., Mandhare, A., Tryphena, K. P., Srivastava, S., Shaikh, M. F., Singh, S. B., & Khatri, D. K. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1048333 · Cited by 102
Exploiting Circulating MicroRNAs as Biomarkers in Psychiatric Disorders
Roy, B., Yoshino, Y., McKibben, L. A., Prall, K., Schell, G., & Dwivedi, Y. (2020) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-020-00464-9 · Cited by 101
Fang, Y., Qiu, Q., Zhang, S., Sun, L., Li, G., Xiao, S., & Li, X. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.11.090 · Cited by 90
Advance in Stress for Depressive Disorder
Ding, Y., & Dai, J. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9271-0_8 · Cited by 86
microRNA-124 targets glucocorticoid receptor and is involved in depression-like behaviors
Wang, S., Mu, R.-H., Li, C., Dong, S., Geng, D., Liu, Q., & Yi, L. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.07.024 · Cited by 84
MicroRNA-dependent control of neuroplasticity in affective disorders
Martins, H. C., & Schratt, G. M. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01379-7 · Cited by 74
Liu, S.-C., Hu, W., Zhang, W.-Y., Yang, L., Li, Y., Xiao, Z., Zhang, M., & He, Z. (2019) · Psychopharmacology · doi:10.1007/s00213-019-05257-5 · Cited by 71
Bahí, A. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.03.010 · Cited by 70
RVG29-modified microRNA-loaded nanoparticles improve ischemic brain injury by nasal delivery
Hao, R., Sun, B., Yang, L., Ma, C., & Li, S. (2020) · Drug Delivery · doi:10.1080/10717544.2020.1760960 · Cited by 68
O’Connor, R. M., Gururajan, A., Dinan, T. G., Kenny, P. J., & Cryan, J. F. (2016) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2016.10.004 · Cited by 69
Fan, C., Zhu, X., Song, Q., Wang, P., Liu, Z., & Yu, S. Y. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.01.009 · Cited by 63
Role of non-coding RNA in the pathogenesis of depression
Liu, N., Wang, Z., Zhao, M., Zhang, Y., & Chen, N. (2019) · Gene · doi:10.1016/j.gene.2019.144276 · Cited by 62
Khan, A. R., Geiger, L., Wiborg, O., & Czéh, B. (2020) · Cells · doi:10.3390/cells9041026 · Cited by 65
miR-124 ameliorates depressive-like behavior by targeting STAT3 to regulate microglial activation
Lou, D., Wang, J., & Wang, X. (2019) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2019.101470 · Cited by 58
Karen, C., Shyu, D. J. H., & Rajan, K. E. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.719933 · Cited by 62
Sun, X., Song, Z., Si, Y., & Wang, J. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.05.023 · Cited by 58
Colwell, M., Townsel, C., Petroff, R., Goodrich, J. M., & Dolinoy, D. C. (2023) · Exposome · doi:10.1093/exposome/osad001 · Cited by 64
Kim, C. S., Brager, D. H., & Johnston, D. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.28 · Cited by 54
A New Insight into the Roles of MiRNAs in Metabolic Syndrome
Huang, Y., Yan, Y., Xv, W., Ge, Q., Li, C., Zou, H., & Li, Y. (2018) · BioMed Research International · doi:10.1155/2018/7372636 · Cited by 56
Epigenetic mechanisms impacted by chronic stress across the rodent lifespan
Dion, A., Muñoz, P., & Franklin, T. B. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100434 · Cited by 54
Brain Beta-Catenin Signalling During Stress and Depression
Teo, C. H., Soga, T., & Parhar, I. S. (2018) · Neurosignals · doi:10.1159/000487764 · Cited by 50
Huang, Y.-L., Zeng, N.-X., Chen, J., Niu, J., Luo, W.-L., Liu, P., Yan, C., & Wu, L.-L. (2019) · Neural Regeneration Research · doi:10.4103/1673-5374.270414 · Cited by 49
Fan, D., Cao, M.-Q., Liu, Q., Sun, N.-N., & Wu, Z. (2018) · Neural Regeneration Research · doi:10.4103/1673-5374.232478 · Cited by 48
The hippocampus in stress susceptibility and resilience: Reviewing molecular and functional markers
Larosa, A., & Wong, T. P. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110601 · Cited by 50
microRNA-124: a putative therapeutic target and biomarker for major depression
Dwivedi, Y. (2017) · Expert Opinion on Therapeutic Targets · doi:10.1080/14728222.2017.1328501 · Cited by 44
MicroRNA‑124: an emerging therapeutic target in central nervous system disorders
Zhang, W.-H., Jiang, L., Li, M., & Liu, J. (2023) · Experimental Brain Research · doi:10.1007/s00221-022-06524-2 · Cited by 43
Altered expression of long noncoding RNAs in patients with major depressive disorder
Seki, T., Yamagata, H., Uchida, S., Chen, C., Kobayashi, A., Kobayashi, M., Harada, K., Matsuo, K., Watanabe, Y., & Nakagawa, S. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.07.004 · Cited by 42
Self-citationmiR-124 dosage regulates prefrontal cortex function by dopaminergic modulation
Kozuka, T., Omori, Y., Watanabe, S., Tarusawa, E., Yamamoto, H., Chaya, T., Furuhashi, M., Morita, M., Sato, T., Hirose, S., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-38910-2 · Cited by 42
Bortolozzi, A., Manashirov, S., Chen, A., & Artigas, F. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107873 · Cited by 37
Dicing the Disease with Dicer: The Implications of Dicer Ribonuclease in Human Pathologies
Theotoki, E. I., Pantazopoulou, V. I., Georgiou, S., Kakoulidis, P., Filippa, V., Stravopodis, D. J., & Anastasiadou, E. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197223 · Cited by 41
Micale, V., Bartolomeo, M. D., Martino, S. D., Štark, T., Dell’Osso, B. M., Drago, F., & D’Addario, C. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2022.108279 · Cited by 41
miRNAs in depression vulnerability and resilience: novel targets for preventive strategies
Lopizzo, N., Zonca, V., Cattane, N., Pariante, C. M., & Cattaneo, A. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02048-2 · Cited by 37
Ishikawa, M., Aoyama, T., Shibata, S., Sone, T., Miyoshi, H., Watanabe, H., Nakamura, M., Morota, S., Uchino, H., Yoo, A. S., et al. (2020) · Cells · doi:10.3390/cells9030532 · Cited by 36
The Role of MicroRNA and Microbiota in Depression and Anxiety
Rosa, J. M., Formolo, D. A., Yu, J., Lee, T. H.-Y., & Yau, S. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.828258 · Cited by 38
Mallei, A., Ieraci, A., & Popoli, M. (2018) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2018.1500029 · Cited by 36
Chai, H., Liu, B., Zhan, H., Li, X., He, Z., Ye, J., Guo, Q., Chen, J., Zhang, J., & Li, S. (2018) · The International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy091 · Cited by 36
Li, W., Liu, X., & Qiao, H. (2020) · Acta Pharmacologica Sinica · doi:10.1038/s41401-020-0387-5 · Cited by 37
Synaptic plasticity and depression: the role of miRNAs dysregulation
Rahmani, S., Kadkhoda, S., & Ghafouri-Fard, S. (2022) · Molecular Biology Reports · doi:10.1007/s11033-022-07461-7 · Cited by 35
Xiang, S., Zhou, Y., Fu, J., & Zhang, T. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.10.001 · Cited by 37
Li, X., Zhao, J., Li, Z., Zhang, L., & Huo, Z. (2020) · Neural Plasticity · doi:10.1155/2020/8850653 · Cited by 35
Stress, microRNAs, and stress-related psychiatric disorders: an overview
Musazzi, L., Mingardi, J., Ieraci, A., Barbon, A., & Popoli, M. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02139-3 · Cited by 35
Ma, K., Zhang, H., Wei, G., Dong, Z., Zhao, H., Han, X., Song, X., Zhang, H., Zong, X., Baloch, Z., et al. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s200264 · Cited by 32
MicroRNA regulation of prefrontal cortex development and psychiatric risk in adolescence
Morgunova, A., & Flores, C. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.04.011 · Cited by 35
Cortes, M., Cao, M., Liu, H. L., Moore, C. S., Durosier, L. D., Burns, P., Fecteau, G., Desrochers, A., Barreiro, L. B., Antel, J. P., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-09439-z · Cited by 32
Guo, L., Zhu, Z., Wang, G., Cui, S., Shen, M., Song, Z., & Wang, J. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.012047 · Cited by 34
Synaptically Localized Transcriptional Regulators in Memory Formation
Uchida, S., & Shumyatsky, G. P. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.07.023 · Cited by 33
Self-citationYamagata, H., Uchida, S., Matsuo, K., Harada, K., Kobayashi, A., Nakashima, M., Higuchi, F., Watanuki, T., Matsubara, T., & Watanabe, Y. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.08.057 · Cited by 33
Self-citationMicroRNAs: a symphony orchestrating evolution and disease dynamics
Quah, S., Subramanian, G., Tan, J. S. L., Utami, K. H., & Sampath, P. (2025) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2024.07.004 · Cited by 31
MicroRNAs in Major Depressive Disorder
Fries, G. R., Zhang, W., Benevenuto, D., & Quevedo, J. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-05542-4_9 · Cited by 29
Kawatake-Kuno, A., Li, H., Inaba, H., Hikosaka, M., Ishimori, E., Ueki, T., Garkun, Y., Morishita, H., Narumiya, S., Oishi, N., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.01.023 · Cited by 31
Self-citationBenefits of animal models to understand the pathophysiology of depressive disorders
Czéh, B., & Simon, M. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110049 · Cited by 30
Inkster, B., Simmons, A., Cole, J. H., Schoof, E. M., Linding, R., Nichols, T., Muglia, P., Holsboer, F., Sämann, P. G., McGuffin, P., et al. (2018) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000203 · Cited by 29
GSK3 and miRNA in neural tissue: From brain development to neurodegenerative diseases
Gizak, A., Duda, P., Pielka, E., McCubrey, J. A., & Rakus, D. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2020.118696 · Cited by 29
Yamagata, H., Uchida, S., Matsuo, K., Harada, K., Kobayashi, A., Nakashima, M., Nakano, M., Otsuki, K., Abe-Higuchi, N., Higuchi, F., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-03291-x · Cited by 27
Self-citationRoy, B., & Dwivedi, Y. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105040 · Cited by 29
The molecular basis of depression: implications of sex-related differences in epigenetic regulation
Kawatake-Kuno, A., Murai, T., & Uchida, S. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.708004 · Cited by 23
Kawatake-Kuno, A., Murai, T., & Uchida, S. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.749180 · Cited by 26
Self-citationmiR-124 antagonizes the antidepressant-like effects of standardized gypenosides in mice
Yi, L., Mu, R.-H., Dong, S., Wang, S., Li, C., Geng, D., & Liu, Q. (2018) · Journal of Psychopharmacology · doi:10.1177/0269881118758304 · Cited by 23
Inkster, B., Zai, G. C., Lewis, G., & Miskowiak, K. W. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0270-z · Cited by 23
A role for miR-132 in learned safety
Ronovsky, M., Zambon, A., Cicvaric, A., Boehm, V., Hoesel, B., Moser, B. A., Yang, J., Schmid, J. A., Haubensak, W. E., Monje, F. J., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-37054-z · Cited by 22
Liu, Z., Yang, J., Fang, Q., Shao, H., Yang, D., Sun, J., & Gao, L. (2021) · Brain and Behavior · doi:10.1002/brb3.2107 · Cited by 22
The missing hallmark of health: psychosocial adaptation
López-Otín, C., & Kroemer, G. (2024) · Cell Stress · doi:10.15698/cst2024.03.294 · Cited by 27
MohanaSundaram, A., Shanmugarajan, T. S., & Ravichandiran, V. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00532 · Cited by 22
Potential Roles of microRNAs in the Regulation of Monoamine Oxidase A in the Brain
Higuchi, Y., Soga, T., & Parhar, I. S. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00339 · Cited by 22
Hippocampal miRNA-144 Modulates Depressive-Like Behaviors in Rats by Targeting PTP1B
Li, Y., Wang, N., Pan, J., Wang, X., Zhao, Y., & Guo, Z. (2021) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s263079 · Cited by 22
Cannabidiol Modulates Alterations in PFC microRNAs in a Rat Model of Depression
Bright, U., & Akirav, I. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032052 · Cited by 21
Abd‐Elmawla, M. A., Essam, R. M., Ahmed, K. A., & Abdelmonem, M. (2023) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00013 · Cited by 21
Au, N. P. B., Wu, T., Chen, X., Gao, F., Li, Y. Y. T., Tam, W. Y., Yu, K. N., Geschwind, D. H., Coppola, G., Wang, X., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.011 · Cited by 20
Bhakta, A., Gavini, K., Yang, E., Lyman-Henley, L., & Parameshwaran, K. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.08.013 · Cited by 21
Sakai, Y., Li, H., Inaba, H., Funayama, Y., Ishimori, E., Kawatake-Kuno, A., Yamagata, H., Seki, T., Hobara, T., Nakagawa, S., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102504 · Cited by 20
Self-citationAge-related Loss of miR-124 Causes Cognitive Deficits via Derepressing RyR3 Expression
Liu, K., Yin, Y., Le, Y., Ouyang, W., Pan, A., Huang, J., Xie, Z., Zhu, Q., & Tong, J. (2022) · Aging and Disease · doi:10.14336/ad.2022.0204 · Cited by 19
Benatti, B. M., Adiletta, A., Sgadó, P., Malgaroli, A., Ferro, M., & Lamanna, J. (2024) · Behavioral Sciences · doi:10.3390/bs14100882 · Cited by 23
The important roles of microRNAs in depression: new research progress and future prospects
Miao, C., & Chang, J. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-021-02052-8 · Cited by 19
Shi, L., Ji, C.-H., Tang, W., Liu, Y., Zhang, W., & Guan, W. (2022) · Current Neurovascular Research · doi:10.2174/1567202619666220713105306 · Cited by 18
SRSFs mediate the function of AR in the ovarian granulosa cells of patients with PCOS
Luo, J., Ye, H., Hao, L., Sun, Y., Li, R., Li, Y., & Yang, Z. (2019) · Genes & Diseases · doi:10.1016/j.gendis.2019.09.005 · Cited by 16
Gibbons, A. S., Sundram, S., & Dean, B. (2020) · Non-Coding RNA · doi:10.3390/ncrna6030033 · Cited by 17
miR-218: A Stress-Responsive Epigenetic Modifier
Schell, G., Roy, B., Prall, K., & Dwivedi, Y. (2022) · Non-Coding RNA · doi:10.3390/ncrna8040055 · Cited by 17
The Genetic Side of the Mood: A Scientometric Review of the Genetic Basis of Mood Disorders
Bonacina, G., Carollo, A., & Esposito, G. (2023) · Genes · doi:10.3390/genes14020352 · Cited by 15
Wei, N., Zhang, H., Wang, J., Wang, S., Lv, W., Luo, L., & Xu, Z. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00405 · Cited by 15
Zeng, D., Shen, H., Yu, S., Li, G., Ma, C., Wen, Y., Shen, Y., Yu, Y., & Li, H. (2018) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s155076 · Cited by 15
The functions of microRNA-124 on bladder cancer
Cao, Z., Xu, L., Zhao, S., & Zhu, X. (2019) · OncoTargets and Therapy · doi:10.2147/ott.s193661 · Cited by 14
Zeng, P. H., Wang, X., Ye, C., Su, H.-F., Fang, Y., Zhang, T., & Tian, Q. (2021) · Aging · doi:10.18632/aging.203072 · Cited by 14
Sex-Related Predisposition to Post-Traumatic Stress Disorder Development—The Role of Neuropeptides
Lehner, M., Skórzewska, A., & Wisłowska-Stanek, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010314 · Cited by 15
Liu, Y., Chen, Z., Lin, W. C., Zhou, Y., Liu, Z., Zhao, R., Chen, Y., Wu, B., Chen, A., & Lin, C. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1010107 · Cited by 14
Itoh, Y. (2019) · Chemical and Pharmaceutical Bulletin · doi:10.1248/cpb.c19-00741 · Cited by 15
Self-citationToledano, R. S., & Akirav, I. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-025-02213-0 · Cited by 17
Alzuri, S. E., Rosas, N. M., Hlaváčová, N., Ježová, D., & Fuchsová, B. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15810 · Cited by 13
Wang, C., Chen, R., Zhu, X., & Zhang, X. (2023) · Neurochemical Research · doi:10.1007/s11064-023-03913-z · Cited by 13
Metadata
- Authors
- Higuchi, F., Uchida, S., Yamagata, H., Abe-Higuchi, N., Hobara, T., Hara, K., Kobayashi, A., Shintaku, T., Itoh, Y., Suzuki, T., & Watanabe, Y.
- Affiliations
- Yamaguchi University (JP)
- Kyoto Prefectural University of Medicine (JP)
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2016-07-06
- Volume
- 36
- Issue
- 27
- Pages
- 7253-7267
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6705534
- OpenAlex
- W2474895768
- Cited by
- 158
- References
- 81
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 11 · 2023: 17 · 2022: 16 · 2021: 23 · 2020: 14 · 2019: 21 · 2018: 17 · 2017: 17 · 2016: 2
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 日本生物学的精神医学会(Web)
- Funders
- Takeda Science Foundation
- Uehara Memorial Foundation
- Ministry of Education, Culture, Sports, Science and Technology
- SENSHIN Medical Research Foundation
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Core Research for Evolutional Science and Technology
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- chronic stress, depression-like behavior, stress resilience, hippocampus, glycogen synthase kinase-3β, post-transcriptional regulation, neuroplasticity, antidepressant-like effects, viral overexpression, mood disorders, histone deacetylase inhibition, GSK-3β inhibition, chronic unpredictable mild stress, miRNA target genes, depression pathophysiology
- MeSH terms
- Glycogen Synthase Kinase 3 beta, Animals, Antidepressive Agents, Depression, Disease Models, Animal, Food Preferences, Gene Expression Regulation, Hippocampus, Histone Deacetylases, Imipramine, Male, Mice, Inbred BALB C, Neurons, Stress, Psychological, Oligodeoxyribonucleotides, Antisense, Fluoroquinolones, MicroRNAs, Mice, Topoisomerase II Inhibitors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
