Down-regulated expression of microRNA-338-5p contributes to neuropathology in Alzheimer’s disease.
Open accessAbstract
Alzheimer's disease (AD) is a leading cause of dementia. However, the mechanisms responsible for development of AD, especially for the sporadic variant, are still not clear. In our previous study, we discovered that a small noncoding RNA (miR-188-3p) targeting β-site amyloid precursor protein cleaving enzyme (BACE)-1, a key enzyme responsible for Aβ formation, plays an important role in the development of neuropathology in AD. In the present study, we identified that miR-338-5p, a new miRNA that also targets BACE1, contributes to AD neuropathology. We observed that expression of miR-338-5p was significantly down-regulated in the hippocampus of patients with AD and 5XFAD transgenic (TG) mice, an animal model of AD. Overexpression of miR-338-5p in the hippocampus of TG mice reduced BACE1 expression, Aβ formation, and neuroinflammation. Overexpression of miR-338-5p functionally prevented impairments in long-term synaptic plasticity, learning ability, and memory retention in TG mice. In addition, we provide evidence that down-regulated expression of miR-338-5p in AD is regulated through the NF-κB signaling pathway. Our results suggest that down-regulated expression of miR-338-5p plays an important role in the development of AD.-Qian, Q., Zhang, J., He, F.-P., Bao, W.-X., Zheng, T.-T., Zhou, D.-M., Pan, H.-Y., Zhang, H., Zhang, X.-Q., He, X., Sun, B.-G., Luo, B.-Y., Chen, C., Peng, G.-P. Down-regulated expression of microRNA-338-5p contributes to neuropathology in Alzheimer's disease.
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
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?
MiR-338 can promote myelination in the nervous system, and over-expression of miR-338 can enhance oligodendrocyte differentiation while inhibiting myelin negative regulators Sox6 and Hes5, therefore promoting myelin formation.
“MiR-338 can promote myelination in the nervous system, and over-expression of miR-338 can enhance oligodendrocyte differentiation while inhibiting myelin negative regulators Sox6 and Hes5, therefore promoting myelin formation [36].”
miR-338-5p is a dual-pathway regulator affecting both neuron-derived amyloid production and glial-derived myelin synthesis.
“Downregulation of miR-338-5p increases BACE1 expression, potentially accelerating Aβ accumulation, while simultaneously blocking myelin gene induction, making miR-338-5p a rare dual-pathway regulator affecting both neuron-derived amyloid production and glial-derived myelin synthesis (Qian et al., 2018).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Qian et al., 2018
miR-338-5p is an oligodendroglial miRNA that is reduced in AD brains.
“miR-338-5p is another oligodendroglial miRNA reduced in AD brains.”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Qian et al., 2018
Downregulation of miR-338-5p increases BACE1 expression, potentially accelerating Aβ accumulation, and blocks myelin gene induction.
“Downregulation of miR-338-5p increases BACE1 expression, potentially accelerating Aβ accumulation, while simultaneously blocking myelin gene induction, making miR-338-5p a rare dual-pathway regulator affecting both neuron-derived amyloid production and glial-derived myelin synthesis (Qian et al., 2018).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Qian et al., 2018
miR-338-5p targets BACE1 and the oligodendrocyte transcription factor SOX6.
“It targets BACE1 and the oligodendrocyte transcription factor SOX6, which has been linked to amyloid burden to impaired OL maturation (Qian et al., 2018).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Qian et al., 2018
Oligodendrocyte miRNAs, most prominently miR-219-5p and miR-338-5p, bridge myelin maintenance, OPC maturation, and tau-kinase or APP/BACE1 regulation, linking white-matter degeneration to classical AD pathology.
“Oligodendrocyte miRNAs, most prominently miR-219-5p and miR-338-5p, bridge myelin maintenance, OPC maturation, and tau-kinase or APP/BACE1 regulation, linking white-matter degeneration to classical AD pathology (Dugas et al., 2010; Li et al., 2018; Qian et al., 2018).”
From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Qian et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755 · see citing works
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · cited 1× · see citing works
“5XFAD transgenic (TG) mice were obtained from The Jackson Laboratory (006554; Bar Harbor,ME, USA) (27) and maintained by crossing hemizygous transgenic micewithB6SJLF1mice.”
MethodA brain-specific microRNA regulates dendritic spine development
Schratt, G. M., Tuebing, F., Nigh, E. A., Kane, C. G., Sabatini, M. E., Kiebler, M., & Greenberg, M. E. (2006) · Nature · doi:10.1038/nature04367 · Cited by 1,786 · see citing works
Amyloid-β–induced neuronal dysfunction in Alzheimer's disease: from synapses toward neural networks
Palop, J. J., & Mucke, L. (2010) · Nature Neuroscience · doi:10.1038/nn.2583 · Cited by 1,651 · see citing works
APP Processing and Synaptic Function
Kamenetz, F., Tomita, T., Hsieh, H., Seabrook, G., Borchelt, D., Iwatsubo, T., Sisodia, S., & Malinow, R. (2003) · Neuron · doi:10.1016/s0896-6273(03)00124-7 · Cited by 1,644 · see citing works
Shankar, G. M., Bloodgood, B. L., Townsend, M., Walsh, D. M., Selkoe, D. J., & Sabatini, B. L. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4970-06.2007 · Cited by 1,592 · see citing works
Roles for MicroRNAs in Conferring Robustness to Biological Processes
Ebert, M. S., & Sharp, P. A. (2012) · Cell · doi:10.1016/j.cell.2012.04.005 · Cited by 1,564 · see citing works
Hébert, S. S., Horré, K., Nicolaï, L., Papadopoulou, A. S., Mandemakers, W., Silahtaroglu, A. N., Kauppinen, S., Delacourte, A., & De Strooper, B. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710263105 · Cited by 1,183 · see citing works
Stark, A., Brennecke, J., Bushati, N., Russell, R. B., & Cohen, S. M. (2005) · Cell · doi:10.1016/j.cell.2005.11.023 · Cited by 1,080 · see citing works
AMPAR Removal Underlies Aβ-Induced Synaptic Depression and Dendritic Spine Loss
Hsieh, H., Boehm, J., Sato, C., Iwatsubo, T., Tomita, T., Sisodia, S., & Malinow, R. (2006) · Neuron · doi:10.1016/j.neuron.2006.10.035 · Cited by 1,042 · see citing works
Li, S., Hong, S., Shepardson, N. E., Walsh, D. M., Shankar, G. M., & Selkoe, D. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.012 · Cited by 972 · see citing works
Wang, W., Rajeev, B. W., Stromberg, A. J., Ren, N., Tang, G., Huang, Q., Rigoutsos, I., & Nelson, P. T. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5065-07.2008 · Cited by 827 · see citing works
MicroRNAs: Processing, Maturation, Target Recognition and Regulatory Functions.
Shukla, G. C., Singh, J., & Barik, S. (2011) · PubMed · Cited by 821 · see citing works
Inhibiting NF-κB activation by small molecules as a therapeutic strategy
Gupta, S. C., Sundaram, C., Reuter, S., & Aggarwal, B. B. (2010) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2010.05.004 · Cited by 762 · see citing works
Zhang, Y., Wang, Z. J., & Gemeinhart, R. A. (2013) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.09.015 · Cited by 602 · see citing works
Janus-faced microglia: beneficial and detrimental consequences of microglial phagocytosis
Sierra, A., Abiega, O., Shahraz, A., & Neumann, H. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00006 · Cited by 574 · see citing works
Developing MicroRNA Therapeutics
van Rooij, E., Purcell, A. L., & Levin, A. A. (2012) · Circulation Research · doi:10.1161/circresaha.111.247916 · Cited by 498 · see citing works
Perkins, D. O., Jeffries, C. D., Jarskog, L. F., Thomson, J. M., Woods, K., Newman, M. A., Parker, J. S., Jin, J., & Hammond, S. M. (2007) · Genome Biology · doi:10.1186/gb-2007-8-2-r27 · Cited by 479 · see citing works
A MicroRNA Imparts Robustness against Environmental Fluctuation during Development
Li, X., Cassidy, J. J., Reinke, C., Fischboeck, S., & Carthew, R. W. (2009) · Cell · doi:10.1016/j.cell.2009.01.058 · Cited by 445 · see citing works
Inhibition of GSK3β-mediated BACE1 expression reduces Alzheimer-associated phenotypes
Ly, P. T. T., Wu, Y., Zou, H., Wang, R., Zhou, W., Kinoshita, A., Zhang, M., Yang, Y., Cai, F., Woodgett, J., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci64516 · Cited by 442 · see citing works
Kim, T., Vidal, G. S., Djurisic, M., William, C. M., Birnbaum, M. E., Garcia, K. C., Hyman, B. T., & Shatz, C. J. (2013) · Science · doi:10.1126/science.1242077 · Cited by 410 · see citing works
MicroRNA miR-137 Regulates Neuronal Maturation by Targeting Ubiquitin Ligase Mind Bomb-1
Smrt, R. D., Szulwach, K. E., Pfeiffer, R. L., Li, X., Guo, W., Pathania, M., Teng, Z.-Q., Luo, Y., Peng, J., Bordey, A., et al. (2010) · Stem Cells · doi:10.1002/stem.431 · Cited by 404 · see citing works
Palop, J. J., Jones, B., Kekonius, L., Chin, J., Yu, G.-Q., Raber, J., Masliah, E., & Mucke, L. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1133381100 · Cited by 402 · 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
Zhao, J., Fu, Y., Yasvoina, M., Shao, P., Hitt, B., O'Connor, T., Logan, S., Maus, E., Citron, M., Berry, R., et al. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.4396-06.2007 · Cited by 365 · see citing works
Depletion of GGA3 Stabilizes BACE and Enhances β-Secretase Activity
Tesco, G., Koh, Y. H., Kang, E. L., Cameron, A. N., Das, S., Sena-Esteves, M., Hiltunen, M., Yang, S.-H., Zhong, Z., Shen, Y., et al. (2007) · Neuron · doi:10.1016/j.neuron.2007.05.012 · Cited by 337 · see citing works
Boissonneault, V., Plante, I., Rivest, S., & Provost, P. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m807530200 · Cited by 301 · see citing works
microRNA-9 regulates axon extension and branching by targeting Map1b in mouse cortical neurons
Dajas‐Bailador, F., Bonev, B., Garcez, P. P., Stanley, P., Guillemot, F., & Papalopulu, N. (2012) · Nature Neuroscience · doi:10.1038/nn.3082 · Cited by 270 · see citing works
Sun, B., Zhou, Y., Halabisky, B., Lo, I., Cho, S.-H., Mueller-Steiner, S., Devidze, N., Wang, X., Grubb, A., & Gan, L. (2008) · Neuron · doi:10.1016/j.neuron.2008.10.001 · Cited by 231 · see citing works
Self-citationKaltschmidt, B., Ndiaye‐Lobry, D., Körte, M., Pothion, S., Arbibe, L., Prüllage, M., Pfeiffer, J., Lindecke, A., Staiger, V., Israël, A., et al. (2006) · Molecular and Cellular Biology · doi:10.1128/mcb.26.8.2936-2946.2006 · Cited by 229 · see citing works
MicroRNA dysregulation in schizophrenia
Beveridge, N. J., & Cairns, M. J. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.12.029 · Cited by 202 · see citing works
Δ9-THC-Caused Synaptic and Memory Impairments Are Mediated through COX-2 Signaling
Chen, R., Zhang, J., Fan, N., Teng, Z., Wu, Y., Yang, H., Tang, Y., Sun, H., Song, Y., & Chen, C. (2013) · Cell · doi:10.1016/j.cell.2013.10.042 · Cited by 191 · see citing works
Sang, N., Zhang, J., Marcheselli, V., Bazan, N. G., & Chen, C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2392-05.2005 · Cited by 191 · see citing works
Long, J. M., Ray, B., & Lahiri, D. K. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.518241 · Cited by 187 · see citing works
MicroRNAs in Alzheimer's disease
Delay, C., Mandemakers, W., & Hébert, S. S. (2012) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.01.003 · Cited by 185 · see citing works
Kim, J., Anwyl, R., Suh, Y., Djamgoz, M. B. A., & Rowan, M. J. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-04-01327.2001 · Cited by 182 · see citing works
Clinical applications of microRNAs
Hydbring, P., & Badalian‐Very, G. (2013) · F1000Research · doi:10.12688/f1000research.2-136.v3 · Cited by 168 · see citing works
Srinivasan, M., & Lahiri, D. K. (2015) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2014.989834 · Cited by 164 · see citing works
miR-132, an experience-dependent microRNA, is essential for visual cortex plasticity
Mellios, N., Sugihara, H., Castro, J., Banerjee, A., Le, C., Kumar, A., Crawford, B., Strathmann, J., Tropea, D., Levine, S. S., et al. (2011) · Nature Neuroscience · doi:10.1038/nn.2909 · Cited by 161 · see citing works
Neuronal Gene Targets of NF-κB and Their Dysregulation in Alzheimer's Disease
Snow, W. M., & Albensi, B. C. (2016) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2016.00118 · Cited by 157 · see citing works
Pizzi, M., Goffi, F., Boroni, F., Benarese, M., Perkins, S. E., Liou, H., & Spano, P. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m201014200 · Cited by 156 · see citing works
Stage-Specific Modulation of Cortical Neuronal Development by Mmu-miR-134
Gaughwin, P. M., Cieśla, M., Yang, H. H., Lim, B., & Brundin, P. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq262 · Cited by 147 · see citing works
Zhang, J., Hu, M., Teng, Z., Tang, Y., & Chen, C. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1165-14.2014 · Cited by 138 · see citing works
Shadfar, S., Hwang, C. J., Lim, M., Choi, D., & Hong, J. T. (2015) · Archives of Pharmacal Research · doi:10.1007/s12272-015-0648-x · Cited by 130 · see citing works
Jones, S. V., & Kounatidis, I. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01805 · Cited by 128 · see citing works
Lee, K., Kim, J. H., Kwon, O. B., An, K., Ryu, J., Cho, K., Suh, Y. H., & Kim, H.-S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6471-11.2012 · Cited by 114 · see citing works
The Role of microRNAs in Alzheimer’s Disease and Their Therapeutic Potentials
Shaik, M. M., Tamargo, I. A., Abubakar, M. B., Kamal, M. A., Greig, N. H., & Gan, S. H. (2018) · Genes · doi:10.3390/genes9040174 · Cited by 114 · see citing works
miR379–410 cluster miRNAs regulate neurogenesis and neuronal migration by fine‐tuning N‐cadherin
Rago, L., Beattie, R., Taylor, V., & Winter, J. (2014) · The EMBO Journal · doi:10.1002/embj.201386591 · Cited by 110 · see citing works
Exosomes and microRNAs: New potential therapeutic candidates in Alzheimer disease therapy
Iranifar, E., Seresht, B. M., Momeni, F., Fadaei, E., Mehr, M. H., Ebrahimi, Z., Rahmati, M., Kharazinejad, E., & Mirzaei, H. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27214 · Cited by 101 · see citing works
BACE1 Structure and Function in Health and Alzheimers Disease
Cole, S., & Vassar, R. (2008) · Current Alzheimer Research · doi:10.2174/156720508783954758 · Cited by 96 · see citing works
Dual roles of NF-κB in cell survival and implications of NF-κB inhibitors in neuroprotective therapy
Qin, Z., Tao, L., & Chen, X. (2007) · Acta Pharmacologica Sinica · doi:10.1111/j.1745-7254.2007.00741.x · Cited by 92 · see citing works
Molecular network of microRNA targets in Alzheimer's disease brains.
Satoh, J. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2011.09.003 · Cited by 88 · see citing works
NF-κB-regulated, proinflammatory miRNAs in Alzheimer's disease
Lukiw, W. J. (2012) · Alzheimer s Research & Therapy · doi:10.1186/alzrt150 · Cited by 85 · see citing works
Lee, K., Kim, H.-J., An, K., Kwon, O.-B., Park, S., Cha, J. H., Kim, M., Lee, Y., Kim, J., Cho, K., et al. (2016) · Scientific Reports · doi:10.1038/srep34433 · Cited by 81 · see citing works
Prasad, K. N. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.12.003 · Cited by 71 · see citing works
Decoding the non-coding RNAs in Alzheimer’s disease
Schönrock, N., & Götz, J. (2012) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-012-1125-z · Cited by 60 · see citing works
Adlkofer, K., Naef, R., & Suter, U. (1997) · Journal of Neuroscience Research · doi:10.1002/(sici)1097-4547(19970915)49:6 · Cited by 59 · see citing works
Ahmed, T., & Gilani, A. H. (2011) · Brain Research · doi:10.1016/j.brainres.2011.05.022 · Cited by 58 · see citing works
Schaeffer, V., Meyer, L., Patte‐Mensah, C., Eckert, A., & Mensah‐Nyagan, A. G. (2008) · Neurochemistry International · doi:10.1016/j.neuint.2008.01.010 · Cited by 44 · see citing works
Wong, J., Duncan, C. E., Beveridge, N. J., Webster, M. J., Cairns, M. J., & Shannon Weickert, C. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbr177 · Cited by 43 · see citing works
Santosa, C., Rasche, S., Barakat, A., Bellingham, S. A., Ho, M., Tan, J., Hill, A. F., Masters, C. L., McLean, C., & Evin, G. M. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.03.009 · Cited by 41 · see citing works
Vallès, A., Martens, G. J. M., Weerd, P. D., Poelmans, G., & Aschrafi, A. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130269 · Cited by 28 · see citing works
MiR-124 Promotes Newborn Olfactory Bulb Neuron Dendritic Morphogenesis and Spine Density
Li, G., & Ling, S. (2016) · Journal of Molecular Neuroscience · doi:10.1007/s12031-016-0873-x · Cited by 25 · see citing works
A Role for Neuronal NF-κB in Suppressing Neuroinflammation and Promoting Neuroprotection in the CNS
Emmanouil, M., Taoufik, E., Tseveleki, V., Vamvakas, S. M., & Probert, L. (2010) · Advances in experimental medicine and biology · doi:10.1007/978-1-4419-6612-4_60 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [56]Mattson M. P., Goodman Y., Luo H., Fu W., Furukawa K. (1997) Activation of NF-kappaB protects hippocampal neurons against oxidative stress-induced apoptosis: evidence for induction of manganese superoxide dismutase and suppression of peroxynitrite production and protein tyrosine nitration. J. Neurosci. Res. 49, 681–697 [DOI] [PubMed] [Google Scholar]
Cited by
Sorted by citations
The β-Secretase BACE1 in Alzheimer’s Disease
Hampel, H., Vassar, R., De Strooper, B., Hardy, J., Willem, M., Singh, N., Zhou, J., Yan, R., Vanmechelen, E., De Vos, A., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.02.001 · Cited by 694 · see citing works
Functional roles and networks of non-coding RNAs in the pathogenesis of neurodegenerative diseases
Wu, Y.-Y., & Kuo, H.-C. (2020) · Journal of Biomedical Science · doi:10.1186/s12929-020-00636-z · Cited by 213 · see citing works
The role of microRNAs in neurodegenerative diseases: a review
Li, S., Lei, Z., & Sun, T. (2022) · Cell Biology and Toxicology · doi:10.1007/s10565-022-09761-x · Cited by 192 · see citing works
The promise of microRNA-based therapies in Alzheimer’s disease: challenges and perspectives
Walgrave, H., Zhou, L., Strooper, B. D., & Salta, E. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00496-7 · Cited by 132 · see citing works
“Additionally, stereotactic injections of lentiviral constructs expressing miR-338-5p in the dentate gyrus of 5xFAD mice, decreased BACE1 protein levels, Aβ42 and neuroinflammation, and rescued spatial memory deficits in the Morris water maze test [133].”
BackgroundAmyloid Beta and MicroRNAs in Alzheimer’s Disease
Amakiri, N., Kubosumi, A., Tran, J., & Reddy, P. H. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00430 · Cited by 107 · see citing works
Dong, Z., Gu, H., Guo, Q., Liang, S., Xue, J., Yao, F., Liu, X., Li, F., Liu, H., Sun, L., et al. (2021) · Molecular Neurobiology · doi:10.1007/s12035-021-02323-y · Cited by 103 · see citing works
Doroszkiewicz, J., Groblewska, M., & Mroczko, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23094610 · Cited by 84 · see citing works
The Eminent Role of microRNAs in the Pathogenesis of Alzheimer's Disease
Samadian, M. M., Gholipour, M., Hajiesmaeili, M., Taheri, M. N., & Ghafouri‐Fard, S. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.641080 · Cited by 70 · see citing works
AbuelEzz, N. Z., Nasr, F. E., Abdulkader, M. A., Bassiouny, A. R., & Zaky, A. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.743573 · Cited by 60 · see citing works
Huang, Y., Driedonks, T. A. P., Cheng, L., Turchinovich, A., Rajapaksha, H., Arab, T., Powell, B. H., Pletniková, O., Redding‐Ochoa, J., Troncoso, J. C., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220322 · Cited by 55 · see citing works
Forny Germano, L., Koehler, J. A., Baggio, L. L., Cui, F., Wong, C. K., Rittig, N., Cao, X., Matthews, D., & Drucker, D. J. (2024) · Molecular Metabolism · doi:10.1016/j.molmet.2024.102019 · Cited by 50 · see citing works
“In fl ammation-related gene expression is upregulated in the hippocampus of 6-month-old 5XFAD mice Neuroin fl ammation is frequently detected in the brain, including within the hippocampal region, of 5XFAD mice with amyloid beta accumulation [25,26].”
Wang, L., Shui, X., Diao, Y., Chen, D., Zhou, Y., & Lee, T. H. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216259 · Cited by 46 · see citing works
“MiR-338-5p can downregulate BACE1 expression in the hippocampus of AD model mice and is downregulated in the hippocampus of AD patients [152].”
BackgroundSegaran, 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
A new perspective on depression and neuroinflammation: Non-coding RNA
Zhou, S., Chen, R., She, Y., Liu, X., Zhao, H., Li, C., & Jia, Y. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.02.007 · Cited by 42 · see citing works
MicroRNA-based therapeutics for inflammatory disorders of the microbiota-gut-brain axis
Datta, N., Johnson, C., Kao, D. H., Gurnani, P., Alexander, C., Polytarchou, C., & Monaghan, T. M. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106870 · Cited by 39 · see citing works
Wu, Z., Cai, Z., Shi, H., Huang, X., Cai, M., Yuan, K., Huang, P., Shi, G., Yan, T., & Li, Z. (2022) · Aging · doi:10.18632/aging.204030 · Cited by 37 · see citing works
Mitochondria Localized microRNAs: An Unexplored miRNA Niche in Alzheimer’s Disease and Aging
Rivera, J., Gangwani, L., & Kumar, S. (2023) · Cells · doi:10.3390/cells12050742 · Cited by 36 · see citing works
“Analysis of the lysates of hippocampal tissue from 6-month-old 5XFAD transgenic (TG) mice demonstrated that the transcription of miR-338 promoted the expression of BACE1, leading to an increase in Amyloid beta formation resulting in neuroinflammation and cognitive dysfunction [33].”
BackgroundMicroRNA-338-5p alleviates neuronal apoptosis via directly targeting BCL2L11 in APP/PS1 mice.
Li, J., Li, D., Zhou, H., Wu, G., He, Z., Liao, W., Li, Y., & Zhi, Y. (2020) · Aging · doi:10.18632/aging.104005 · Cited by 35 · see citing works
“repair after spinal cord injury [20] and decreased expression of miR-338-5p contributes to the development of AD [21].”
BackgroundLi, X., Zhao, J., Li, Z., Zhang, L., & Huo, Z. (2020) · Neural Plasticity · doi:10.1155/2020/8850653 · Cited by 35 · see citing works
MicroRNAs and Synaptic Plasticity: From Their Molecular Roles to Response to Therapy
Mohammadi, A. H., Seyedmoalemi, S., Moghanlou, M., Akhlagh, S. A., Talaei, S. A., Hamblin, M. R., Jafari, A., & Mirzaei, H. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02907-2 · Cited by 33 · see citing works
Sun, Y., Zhen, H., Li, B., Lifang, W., Zhijie, S., Zhou, L., Deng, Y., Zhili, L., Ding, J., Li, T., et al. (2023) · Research · doi:10.34133/research.0114 · Cited by 33 · see citing works
Abdelmaksoud, N. M., Sallam, A.-A. M., Abulsoud, A. I., El‐Dakroury, W. A., Mageed, S. S. A., AL‐Noshokaty, T. M., Elrebehy, M. A., Elshaer, S. S., Mahmoud, N. A., Fathi, D., et al. (2023) · Pathology - Research and Practice · doi:10.1016/j.prp.2023.155007 · Cited by 30 · see citing works
Thomas, L., Florio, T., & Perez-Castro, C. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.590034 · Cited by 28 · see citing works
“Similarly, overexpressed miRNA-338 targets BACE1 and reverts neuroinflammation and Aβ-amyloid formation (Qian et al., 2019).”
BackgroundAlhenaky, A., Alhazmi, S., Alamri, S. H., Alkhatabi, H. A., Alharthi, A., Alsaleem, M. A., Abdelnour, S. A., & Hassan, S. M. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13226960 · Cited by 24 · see citing works
So, K., Li, A., Liang, Y., Zhang, L., Luo, X., Wu, L.-L., Chen, Z.-W., Wei, G.-H., Zhang, K., Du, Z.-A., et al. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.325012 · Cited by 26 · see citing works
“…by NF-κB signaling, whereas hippocampal overexpression of miR-338-5p in 5xFAD mice may diminish AD pathology, for example by reducing BACE1 and Aβ expression, suppressing neuroinflammation, and restoring long-term synaptic plasticity, as well as learning capacity and memory (Qian et al., 2019).”
BackgroundMicroRNAs and synapse turnover in Alzheimer’s disease
Dalal, S., Ramirez-Gomez, J., Sharma, B., Devara, D., & Kumar, S. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102377 · Cited by 21 · see citing works
MicroRNAs in Learning and Memory and Their Impact on Alzheimer’s Disease
Wang, I., Ho, P., & Tsai, K. (2022) · Biomedicines · doi:10.3390/biomedicines10081856 · Cited by 21 · see citing works
“miR‐338‐5p is also associated with neuronal differentiation, neurogenesis, and neuronal protective effects through the negative regulation of BCL2L11, which attenuates amyloid plaque deposition, neuroin‐ flammation, and neuronal apoptosis [68,69].”
BackgroundInfluentialZhang, Q., Yang, P., Pang, X., Guo, W., Sun, Y., Wei, Y., & Pang, C.-Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1069606 · Cited by 20 · see citing works
“It has been reported that negatively regulated miRNA-mRNA pairs contribute to the improvement of AD and provide new reliable targets for the treatment of AD (Fu et al., 2019; Qian et al., 2019; Chen et al., 2021).”
BackgroundTasker, R., Rowlands, J., Ahmed, Z., & Pietro, V. D. (2021) · Cells · doi:10.3390/cells10123479 · Cited by 18 · see citing works
Recognizing Alzheimer's disease from perspective of oligodendrocytes: Phenomena or pathogenesis?
Wang, J., Zhen, Y., Yang, J., Yang, S., & Zhu, G. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14688 · Cited by 16 · see citing works
A review on gut microbiota and miRNA crosstalk: implications for Alzheimer’s disease
Ayyanar, M. P., & Vijayan, M. (2024) · GeroScience · doi:10.1007/s11357-024-01432-5 · Cited by 23 · see citing works
“In AD, miR-15b, miR-29c [159], miR-31 [160], miR-107 [161], miR-200a-3p [162], and miR-388-5p [163] are capable of directly targeting BACE1, thereby decreasing Aβ build up and serving a protection against AD.”
The Role of Non-Coding RNAs in Mitochondrial Dysfunction of Alzheimer’s Disease
Abed, S., Ebrahimi, A., Fattahi, F., Kouchakali, G., Khaniani, M. S., & Derakhshan, S. M. (2024) · Journal of Molecular Neuroscience · doi:10.1007/s12031-024-02262-y · Cited by 16 · see citing works
“An investigation into the regulation of mitochondrial function by miRNAs demonstrated that miR-338 overexpression decreased ATP generation, metabolic activity, and mitochondrial oxygen consumption (Qian et al. 2019).”
Chen, C.-Y., Wang, Y., Lei, L., & Zhang, Y. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111186 · Cited by 14 · see citing works
Stojanovic, T., Beneš, H., Awad, A., Bormann, D., & Monje, F. J. (2020) · Addiction Biology · doi:10.1111/adb.12905 · Cited by 12 · see citing works
Li, D., Chen, Y., Zhang, T., Lv, Z., Zhang, L., Li, X., & Zhang, A. (2023) · Neuroreport · doi:10.1097/wnr.0000000000001878 · Cited by 12 · see citing works
Exosomes and non-coding RNAs: bridging the gap in Alzheimer’s pathogenesis and therapeutics
Chunhui, G., You, Y., Chen, J., Luo, N., & Li, F. (2025) · Metabolic Brain Disease · doi:10.1007/s11011-024-01520-7 · Cited by 13 · see citing works
“Highly expressed miR-29c-3p (Sha et al. 2021 ), and miR-338-5p (Qian et al. 2019), and lowly expressed miR-27a (Hu et al. 2021 ), miR-128 (Liu et al. 2019 ), and miR-140-5p (Khodabakhsh et al. 2023), act on downstream targets and pathways to exert inhibitory effects on inflammatory responses (Table…”
Yi, X., Fang, Q., & Li, L. (2020) · Neuroreport · doi:10.1097/wnr.0000000000001404 · Cited by 12 · see citing works
Kowalski, J. L., Nguyen, N., Battaglino, R. A., Falci, S. P., Charlifue, S. W., & Morse, L. R. (2021) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2021.09.005 · Cited by 12 · see citing works
Epigenetic Regulation of Amyloid-beta Metabolism in Alzheimer’s Disease
He, C., Huang, Z., Yu, C.-C., Wang, H., Zhou, H., & Kong, L.-H. (2020) · Current Medical Science · doi:10.1007/s11596-020-2283-0 · Cited by 11 · see citing works
Potential Alzheimer’s disease drug targets identified through microglial biology research
Lepiarz‐Raba, I., Hidayat, T., Hannan, A. J., & Jawaid, A. (2024) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2024.2335210 · Cited by 9 · see citing works
“For instance, miR-124 and miR-338 can reduce Aβ production by targeting BACE in neurons and also inhibit microglial inflammation [76,77].”
BackgroundSmall RNA Profiles of Brain Tissue-Derived Extracellular Vesicles in Alzheimer’s Disease
Huang, Y., Driedonks, T. A. P., Cheng, L., Turchinovich, A. A., Pletniková, O., Redding‐Ochoa, J., Troncoso, J. C., Hill, A. F., Mahairaki, V., Zheng, L., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230872 · Cited by 10 · see citing works
“Other EV-associated miRNAs that were downregulated in our study have been shown to regulate A (cid:2) PP cleavage [50], modulate neuroinflammation [51], and control migration of cortical neurons [52, 53].”
Bouter, Y., Kacprowski, T., Rößler, F., Jensen, L. R., Kuss, A. W., & Bayer, T. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.580524 · Cited by 10 · see citing works
“Notably, the expression of miR-338-5p was significantly down-regulated in the hippocampus of patients with AD and 5XFAD transgenic mice (Qian et al., 2019).”
BackgroundZhu, D., Zhang, J., Gao, F., Hu, M., Hashem, J., & Chen, C. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114292 · Cited by 9 · see citing works
Schmidt, A. T., Hicks, S. D., Bergquist, B. K., Maloney, K. A., Dennis, V. E., & Bammel, A. C. (2024) · Genes · doi:10.3390/genes15111433 · Cited by 8 · see citing works
The Function of microRNAs in Pulmonary Embolism: Review and Research Outlook
Luo, M., Du, M., Shu, C., Liu, S., Li, J., Zhang, L., & Li, X. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.743945 · Cited by 7 · see citing works
Zeng, H.-X., Qin, S.-J., Andersson, J., Li, S.-P., Zeng, Q.-G., Li, J.-H., Wu, Q.-Z., Meng, W.-J., Oudin, A., Kanninen, K. M., et al. (2024) · Environmental Pollution · doi:10.1016/j.envpol.2024.125440 · Cited by 8 · see citing works
The Neuroepigenetic Landscape of Vertebrate and Invertebrate Models of Neurodegenerative Diseases
Sundaramoorthy, T. H., & Castanho, I. (2022) · Epigenetics Insights · doi:10.1177/25168657221135848 · Cited by 6 · see citing works
Li, J., Liu, L., Sun, S., Liu, C., & Yin, P. (2026) · Medicine · doi:10.1097/md.0000000000046851 · Cited by 5 · see citing works
“[36,37] miR-132 plays a multifaceted role in neuronal development, participating in axonal elongation, cell migration, and plasticity regulation; notably, it exhibits the most pronounced reduction among all miRNAs in the brains of AD patients.”
Rahnama, M., Abdul-Tehrani, H., Mohammadi, M. R., Mirzaie, M., Jahandideh, P., & Memari, A. H. (2024) · Journal of Neurorestoratology · doi:10.1016/j.jnrt.2024.100096 · Cited by 5 · see citing works
MicroRNA and Alzheimer’s disease: Diagnostic biomarkers and potential therapeutic targets
Huang, Y., Chen, Y., He, Z., Lu, W., Lai, H., Wang, Y., & Wang, J. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00002 · Cited by 3 · see citing works
“…miR-125b-5p, miR-31, miR-338-5p, miR-186, and miR-200a-3p also specifically directly target BACE1 mRNA, leading to a reduction in its expression and activity with decreased production of Aβ (Kim et al., 2016b; Qian et al., 2019; Wang et al., 2019; Barros-Viegas et al., 2020; Li et al., 2020).”
Deciphering and manipulating the epigenome for the treatment of Parkinson’s and Alzheimer’s disease
Okechukwu, C. E. (2021) · MGM Journal of Medical Sciences · doi:10.4103/mgmj.mgmj_90_20 · Cited by 3 · see citing works
Azam, H. M. H., Mumtaz, M., Rödiger, S., Schierack, P., Hussain, N., & Ambreen, A. (2025) · Neurological Sciences · doi:10.1007/s10072-025-08419-w · Cited by 3 · see citing works
microRNAs Mediate Signaling Pathways in Alzheimer’s Disease: Biomarkers and Therapeutic Targets
Rezayof, A., Ghasemzadeh, Z., & Kouhkan, F. (2024) · Springer eBooks · doi:10.1007/978-3-030-80662-0_39 · Cited by 2 · see citing works
Yuan, X., Wei, Y., Ao, T., Gong, K., Sun, Q., Zheng, Z., Hagiwara, H., & Ao, Q. (2020) · Journal of Molecular Neuroscience · doi:10.1007/s12031-020-01689-3 · Cited by 2 · see citing works
“microRNA-338 to be critical for the function of the nervous system, where it promotesmyelination (Qian et al. 2019; Zhao et al. 2010).”
BackgroundAl‐Hawary, S. I. S., Ali, A. Y., Mustafa, Y. F., Margiana, R., Ilyasovna, S. M., Ramadan, M. F., Almalki, S. G., Alwave, M., Alkhayyat, S., & Alsalamy, A. (2023) · Biotechnology Progress · doi:10.1002/btpr.3383 · Cited by 1 · see citing works
CircNCOA4 knockdown attenuates OGD-induced neuron injury through miR-338-5p/PDE4B axis
Wang, D., Xiao, S., Li, X., & Qi, W. (2023) · Experimental Brain Research · doi:10.1007/s00221-023-06702-w · Cited by 1 · see citing works
“1 3 that forced expression of miR-338-5p alleviated Alzheimer’s disease by reducing Aβ formation and neuroinflammation (Qian et al. 2019).”
Nguyen, H. D., & Kim, M.-S. (2024) · Epigenetics and human health · doi:10.1007/978-3-031-64788-8_10 · Cited by 1 · see citing works
Epigenetics and regenerative medicine
Ehnes, D. D., Levy, S., & Ruohola‐Baker, H. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823928-5.00019-0 · Cited by 1 · see citing works
Wu, Z., Huang, X., Cai, M., Huang, P., & Guan, Z. (2021) · Research Square · doi:10.21203/rs.3.rs-958945/v1
Research progress of exercise-regulated neuroinflammation on improving Alzheimer's disease
Huimin, W. U., ZHENG, Y., Yunliang, W. A. N. G., Wenqing, S. H. E. N., & He, B. (2022) · Shengming de Huaxue · doi:10.3724/abbs.20220191
Prospective use of miRNAs as biomarkers in the diagnosis of Alzheimer’s disease
Haśko, A., Potocka, N., Skrzypa, M., Bartosik-Psujek, H., & Zawlik, I. (2024) · Advances in Clinical and Experimental Medicine · doi:10.17219/acem/190273
Valverde, A. (2020) · theses.fr (ABES) · doi:10.70675/f1b70734zf4e3z4870z8fbdz950d831642a7
miR-338-5p exerts neuroprotective effects in Parkinson’s disease via targeting LRP1
Zhang, N., Cui, R., Hua, Y., & Lu, H. (2026) · Cytotechnology · doi:10.1007/s10616-026-00978-w
Cipriano, G. L., Anchesi, I., Raffaele, I., Astorino, M. F., Minuti, A., Calabrò, M., & Crisafulli, C. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27114824
“This miRNA deficiency leads to the transcriptional derepression of BACE1, as miR-338-5p directly targets the 3 ′ -untranslated region (3 ′ -UTR) of the BACE1 mRNA to inhibit its translation [29].”
InfluentialCell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease
Donepudi, K., Eadha, S., Rodarte, D., Sharma, B., & Kumar, S. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103211
The Role of MicroRNAs in the Onset and Progression of Alzheimer’s Disease: An Explicative Overview
Sarkar, S. (2026) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898815646126010009
Plasma multi-miRNA models classify Alzheimer’s, Parkinson’s, and Lewy body dementia
Sandau, U. S., Wiedrick, J. T., McFarland, T. J., Yearout, D., Zabetian, C. P., Hu, S.-C., Tsuang, D. W., Quinn, J. F., & Saugstad, J. A. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1788991
Alzheimer’s Disease and MicroRNAs: Challenges and Future Perspectives in Diagnosis and Treatment
Bakhti, Z., Abdolmaleki, A., Asadi, A., Ghanimi, H. A., & Nasab, N. Y. (2026) · The Neuroscience Journal of Shefaye Khatam · doi:10.66224/shefa.14.3.113
Xu, F., 李海亮, Yan, Y., Chen, L., Sheng, Z., 窦报敏, Chen, Y., Zhu, X., & Xu, Y. (2026) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2026.119963
Epigenetics in Alzheimer’s disease: from molecular mechanisms to emerging novel biomarkers
D’Aversa, E., Grisafi, M., Pernagallo, S., Salvatori, F., Singh, A. V., Nucciarone, A., Tisato, V., & Gemmati, D. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1959361
“LncRNAs are long RNA transcripts ( > 200 nucleotides in length) that lack protein-coding potential but exert important epigenetic regulatory functions at transcriptional and post-transcriptional levels (Zhang et al., 2019; Wu et al., 2024).”
- Authors
- Qian, Q., Zhang, J., He, F.-P., Bao, W.-X., Zheng, T.-T., Zhou, D.-M., Pan, H.-Y., Zhang, H., Zhang, X.-Q., He, X., Sun, B.-G., Luo, B.-Y., Chen, C., & Peng, G.-P.
- Affiliations
- Zhejiang Chinese Medical University (CN)
- Louisiana State University Health Sciences Center New Orleans (US)
- First Affiliated Hospital Zhejiang University (CN)
- Zhejiang University (CN)
- Corresponding author
- Chen, Chu
- Peng, Guo-Ping
- Venue
- The FASEB Journal
- Publisher
- Wiley
- Published
- 2018-12-21
- Volume
- 33
- Issue
- 3
- Pages
- 4404-4417
- ISSN
- 0892-6638 (ISSN-L)
- 1530-6860
- PMC
- PMC6404576
- OpenAlex
- W2906227813
- Cited by
- 70
- References
- 64
- Citations by year
- 2026: 9 · 2025: 3 · 2024: 14 · 2023: 9 · 2022: 11 · 2021: 11 · 2020: 12 · 2019: 1
- FWCI
- 4.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The FASEB Journal (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81471284)
- National Institutes of Health (R01NS076815)
- National Institute of Neurological Disorders and Stroke (R01AG058621)
- National Basic Research Program of China (2016YFC1306402)
- Zhejiang Chinese Medical University (2018ZR04)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, BACE1, hippocampus, neuroinflammation, NF-κB signaling, synaptic plasticity, memory impairment, 5xFAD mice, microRNA downregulation
- MeSH terms
- Alzheimer Disease, Animals, Cells, Cultured, Disease Models, Animal, Hippocampus, Humans, Inflammation, Male, Memory Disorders, Mice, Transgenic, Neuronal Plasticity, Neurons, Peptide Fragments, Recombinant Proteins, Down-Regulation, Amyloid beta-Peptides, Aspartic Acid Endopeptidases, NF-kappa B, Maze Learning, 3' Untranslated Regions, MicroRNAs, Mice, Amyloid Precursor Protein Secretases, Primary Cell Culture
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