Brain microRNAs differentially expressed in age-related cerebral pathologies
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The 63 miRs associated with multiple sclerosis were predominantly enriched in oligodendrocyte-specific miRs, but also showed significant contributions of astrocyte and microglia markers.
“In contrast, the 63 miRs associated with multiple sclerosis 66 (MS) were predominantly enriched in oligodendrocyte-specific miRs, but also showed significant contributions of astrocyte and microglia markers”
From Human brain microRNAs exhibit cell-type specificity and age dependence (2026) · cites this paper as [66]
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Adlakha, Y. K., & Saini, N. (2014) · Molecular Cancer · doi:10.1186/1476-4598-13-33 · Cited by 213 · see citing works
Sex differences in brain protein expression and disease
Wingo, A. P., Liu, Y., Gerasimov, E. S., Vattathil, S. M., Liu, J., Cutler, D. J., Epstein, M. P., Blokland, G. A. M., Thambisetty, M., Troncoso, J. C., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02509-y · Cited by 94 · see citing works
Self-citationVattathil, S. M., Gerasimov, E. S., Canon, S. M., Lori, A., Tan, S. S. M., Kim, P. J., Liu, Y., Lai, E. C., Bennett, D. A., Wingo, T. S., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00778-x · Cited by 14 · see citing works
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Research works printed but not linked: 50
- Agarwal V, Bell GW, Nam JW, & Bartel DP (2015). Predicting effective microRNA target sites in mammalian mRNAs. Elife, 4. 10.7554/eLife.05005 PMC4532895 26267216 · DOI · Paper page
- Arvanitakis Z, Capuano AW, Leurgans SE, Buchman AS, Bennett DA, & Schneider JA (2017). The Relationship of Cerebral Vessel Pathology to Brain Microinfarcts. Brain Pathol, 27(1), 77– 85. 10.1111/bpa.12365 26844934 PMC4974145 · DOI
- Arvanitakis Z, Leurgans SE, Barnes LL, Bennett DA, & Schneider JA (2011). Microinfarct pathology, dementia, and cognitive systems. Stroke, 42(3), 722– 727. 10.1161/strokeaha.110.595082 21212395 PMC3042494 · DOI · Paper page
- Bennett DA, Buchman AS, Boyle PA, Barnes LL, Wilson RS, & Schneider JA (2018). Religious Orders Study and Rush Memory and Aging Project. J Alzheimers Dis, 64(s1), S161– s189. 10.3233/jad-179939 29865057 PMC6380522 · DOI · Paper page
- Bolger AM, Lohse M, & Usadel B (2014). Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics, 30(15), 2114– 2120. 10.1093/bioinformatics/btu170 24695404 PMC4103590 · DOI · Paper page
- Boyle PA, Wang T, Yu L, Wilson RS, Dawe R, Arfanakis K, Schneider JA, & Bennett DA (2021). To what degree is late life cognitive decline driven by age-related neuropathologies? Brain, 144(7), 2166– 2175. 33742668 PMC8370442
- Boyle PA, Yu L, Nag S, Leurgans S, Wilson RS, Bennett DA, & Schneider JA (2015). Cerebral amyloid angiopathy and cognitive outcomes in community-based older persons. Neurology, 85(22), 1930– 1936. 10.1212/WNL.0000000000002175 26537052 PMC4664125 · DOI · Paper page
- Bredy TW, Lin Q, Wei W, Baker-Andresen D, & Mattick JS (2011). MicroRNA regulation of neural plasticity and memory. Neurobiol Learn Mem, 96(1), 89– 94. 10.1016/j.nlm.2011.04.004 21524708 · DOI
- Buchman AS, Leurgans SE, Nag S, Bennett DA, & Schneider JA (2011). Cerebrovascular disease pathology and parkinsonian signs in old age. Stroke, 42(11), 3183– 3189. 10.1161/STROKEAHA.111.623462 21885844 PMC3202031 · DOI · Paper page
- Chatterjee B, Sarkar M, Bose S, Alam MT, Chaudhary AA, Dixit AK, Tripathi PP, & Srivastava AK (2024). MicroRNAs: Key modulators of inflammation-associated diseases. Seminars in Cell & Developmental Biology, 36670037
- Dobricic V, Schilling M, Schulz J, Zhu L-S, Zhou C-W, Fuß J, Franzenburg S, Zhu L-Q, Parkkinen L, & Lill CM (2022). Differential microRNA expression analyses across two brain regions in Alzheimer’s disease. Translational psychiatry, 12(1), 352. 36038535 PMC9424308
- Forrest SL, & Kovacs GG (2023). Current Concepts of Mixed Pathologies in Neurodegenerative Diseases. Can J Neurol Sci, 50(3), 329– 345. 10.1017/cjn.2022.34 35356856 · DOI
- Fromm B, Zhong X, Tarbier M, Friedländer MR, & Hackenberg M (2022). The limits of human microRNA annotation have been met. RNA, 28(6), 781– 785. 35236776 PMC9074900
- Fu X, Niu T, & Li X (2019). MicroRNA-126–3p attenuates intracerebral hemorrhage-induced blood-brain barrier disruption by regulating VCAM-1 expression. Frontiers in Neuroscience, 13, 866. 31474826 PMC6707088
- Gebert LFR, & MacRae IJ (2019). Regulation of microRNA function in animals. Nat Rev Mol Cell Biol, 20(1), 21– 37. 10.1038/s41580-018-0045-7 30108335 PMC6546304 · DOI · Paper page
- Herrera-Espejo S, Santos-Zorrozua B, Álvarez-González P, Lopez-Lopez E, & Garcia-Orad Á (2019). A systematic review of microRNA expression as biomarker of late-onset Alzheimer’s disease. Molecular Neurobiology, 56, 8376– 8391. 31240600
- Hu WT, Josephs KA, Knopman DS, Boeve BF, Dickson DW, Petersen RC, & Parisi JE (2008). Temporal lobar predominance of TDP-43 neuronal cytoplasmic inclusions in Alzheimer disease. Acta Neuropathol, 116(2), 215– 220. 10.1007/s00401-008-0400-4 18592255 PMC3404722 · DOI
- Kawas CH, Kim RC, Sonnen JA, Bullain SS, Trieu T, & Corrada MM (2015). Multiple pathologies are common and related to dementia in the oldest-old: The 90+ Study. Neurology, 85(6), 535– 542. 26180144 PMC4540246
- Kozomara A, Birgaoanu M, & Griffiths-Jones S (2019). miRBase: from microRNA sequences to function. Nucleic Acids Res, 47(D1), D155– D162. 10.1093/nar/gky1141 30423142 PMC6323917 · DOI · Paper page
- Law CW, Chen Y, Shi W, & Smyth GK (2014). voom: Precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol, 15(2), R29. 10.1186/gb-2014-15-2-r29 24485249 PMC4053721 · DOI · Paper page
- Liang W, Hou Y, Huang W, Wang Y, Jiang T, Huang X, Wang Z, Wu F, Zheng J, & Zhang J (2022). Loss of schizophrenia-related miR-501–3p in mice impairs sociability and memory by enhancing mGluR5-mediated glutamatergic transmission. Science Advances, 8(33), eabn7357. PMC9390987 35984881
- Luo J, Jiang N, Chen J, Yu G, Zhao J, Yang C, & Zhao Y (2022). Inhibition of miR-423–5p Exerts Neuroprotective Effects in an Experimental Rat Model of Cerebral Ischemia/Reperfusion Injury. Neuroscience, 503, 95– 106. 36067951
- Macfarlane LA, & Murphy PR (2010). MicroRNA: Biogenesis, Function and Role in Cancer. Curr Genomics, 11(7), 537– 561. 10.2174/138920210793175895 21532838 PMC3048316 · DOI
- Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, & Chen WM (2010). Robust relationship inference in genome-wide association studies. Bioinformatics, 26(22), 2867– 2873. 10.1093/bioinformatics/btq559 20926424 PMC3025716 · DOI · Paper page
- Nag S, Yu L, Boyle PA, Leurgans SE, Bennett DA, & Schneider JA (2018). TDP-43 pathology in anterior temporal pole cortex in aging and Alzheimer’s disease. Acta neuropathologica communications, 6, 1– 11. 29716643 PMC5928580
- Nag S, Yu L, Capuano AW, Wilson RS, Leurgans SE, Bennett DA, & Schneider JA (2015). Hippocampal sclerosis and TDP-43 pathology in aging and Alzheimer disease. Ann Neurol, 77(6), 942– 952. 10.1002/ana.24388 25707479 PMC4447563 · DOI · Paper page
- Nelson PT, Dickson DW, Trojanowski JQ, Jack CR, Boyle PA, Arfanakis K, Rademakers R, Alafuzoff I, Attems J, Brayne C, Coyle-Gilchrist ITS, Chui HC, Fardo DW, Flanagan ME, Halliday G, Hokkanen SRK, Hunter S, Jicha GA, Katsumata Y, … Schneider JA (2019). Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report. Brain, 142(6), 1503– 1527. 10.1093/brain/awz099 31039256 PMC6536849 · DOI · Paper page
- Nelson PT, Wang WX, Janse SA, & Thompson KL (2018). MicroRNA expression patterns in human anterior cingulate and motor cortex: A study of dementia with Lewy bodies cases and controls. Brain Res, 1678, 374– 383. 10.1016/j.brainres.2017.11.009 29146111 PMC5752138 · DOI
- Nelson PT, Wang WX, & Rajeev BW (2008). MicroRNAs (miRNAs) in neurodegenerative diseases. Brain Pathol, 18(1), 130– 138. 10.1111/j.1750-3639.2007.00120.x 18226108 PMC2859437 · DOI
- Nicolas G, Wallon D, Goupil C, Richard A-C, Pottier C, Dorval V, Sarov-Rivière M, Riant F, Hervé D, & Amouyel P (2016). Mutation in the 3’untranslated region of APP as a genetic determinant of cerebral amyloid angiopathy. European Journal of Human Genetics, 24(1), 92– 98. 25828868 PMC4795229
- O’Brien J, Hayder H, Zayed Y, & Peng C (2018). Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation. Front Endocrinol (Lausanne), 9, 402. 10.3389/fendo.2018.00402 30123182 PMC6085463 · DOI · Paper page
- Patrick E, Rajagopal S, Wong HA, McCabe C, Xu J, Tang A, Imboywa SH, Schneider JA, Pochet N, Krichevsky AM, Chibnik LB, Bennett DA, & De Jager PL (2017). Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease. Mol Neurodegener, 12(1), 51. 10.1186/s13024-017-0191-y 28668092 PMC5494142 · DOI · Paper page
- Rahimi J, & Kovacs GG (2014). Prevalence of mixed pathologies in the aging brain. Alzheimers Res Ther, 6(9), 82. 10.1186/s13195-014-0082-1 25419243 PMC4239398 · DOI
- Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, & Smyth GK (2015). limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res, 43(7), e47. 10.1093/nar/gkv007 25605792 PMC4402510 · DOI · Paper page
- Robinson JL, Xie SX, Baer DR, Suh E, Van Deerlin VM, Loh NJ, Irwin DJ, McMillan CT, Wolk DA, & Chen-Plotkin A (2023). Pathological combinations in neurodegenerative disease are heterogeneous and disease-associated. Brain, 146(6), 2557– 2569. 36864661 PMC10232273
- Sarkar S, Engler-Chiurazzi EB, Cavendish JZ, Povroznik JM, Russell AE, Quintana DD, Mathers PH, & Simpkins JW (2019). Over-expression of miR-34a induces rapid cognitive impairment and Alzheimer’s disease-like pathology. Brain Res, 1721, 146327. 10.1016/j.brainres.2019.146327 PMC7014559 31295467 · DOI · Paper page
- Schneider JA, Arvanitakis Z, Bang W, & Bennett DA (2007). Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology, 69(24), 2197– 2204. doi: 10.1212/01.wnl.0000271090.28148.24 17568013 · DOI · Paper page
- Schneider JA, Arvanitakis Z, Yu L, Boyle PA, Leurgans SE, & Bennett DA (2012). Cognitive impairment, decline and fluctuations in older community-dwelling subjects with Lewy bodies. Brain, 135(Pt 10), 3005– 3014. 10.1093/brain/aws234 23065790 PMC3470712 · DOI · Paper page
- Schneider JA, Boyle PA, Arvanitakis Z, Bienias JL, & Bennett DA (2007). Subcortical infarcts, Alzheimer’s disease pathology, and memory function in older persons. Ann Neurol, 62(1), 59– 66. 10.1002/ana.21142 17503514 · DOI · Paper page
- Schneider JA, Wilson RS, Cochran EJ, Bienias JL, Arnold SE, Evans DA, & Bennett DA (2003). Relation of cerebral infarctions to dementia and cognitive function in older persons. Neurology, 60(7), 1082– 1088. 10.1212/01.wnl.0000055863.87435.b2 12682310 · DOI · Paper page
- Schulz JB, Lindenau J, Seyfried J, & Dichgans J (2000). Glutathione, oxidative stress and neurodegeneration. Eur J Biochem, 267(16), 4904– 4911. 10.1046/j.1432-1327.2000.01595.x 10931172 · DOI
- Takousis P, Sadlon A, Schulz J, Wohlers I, Dobricic V, Middleton L, Lill CM, Perneczky R, & Bertram L (2019). Differential expression of microRNAs in Alzheimer’s disease brain, blood, and cerebrospinal fluid. Alzheimer’s & Dementia, 15(11), 1468– 1477. 31495604
- Tasker R, Rowlands J, Ahmed Z, & Di Pietro V (2021). Co-expression network analysis of micro-RNAs and proteins in the Alzheimer’s brain: a systematic review of studies in the last 10 years. Cells, 10(12), 3479. 34943987 PMC8699941
- Toyama K, Igase M, Spin JM, Abe Y, Javkhlant A, Okada Y, Wagenhäuser MU, Schelzig H, Tsao PS, & Mogi M (2021). Exosome miR-501–3p elevation contributes to progression of vascular stiffness. Circulation reports, 3(3), 170– 177. 33738350 PMC7956882
- Vattathil SM, Gerasimov ES, Canon SM, Lori A, Tan SSM, Kim PJ, Liu Y, Lai EC, Bennett DAC, Wingo TS, & Wingo AP (2024). Genetic regulation of microRNAs in the older adult brain and their contribution to neuropsychiatric conditions. bioRxiv, 2024.2009.2010.610174. 10.1101/2024.09.10.610174 · DOI
- Wang I-F, Ho P-C, & Tsai K-J (2022). MicroRNAs in learning and memory and their impact on Alzheimer’s disease. Biomedicines, 10(8), 1856. 36009403 PMC9405363
- White LR, Edland SD, Hemmy LS, Montine KS, Zarow C, Sonnen JA, Uyehara-Lock JH, Gelber RP, Ross GW, & Petrovitch H (2016). Neuropathologic comorbidity and cognitive impairment in the Nun and Honolulu-Asia Aging Studies. Neurology, 86(11), 1000– 1008. 26888993 PMC4799714
- Yoon S, Kim SE, Ko Y, Jeong GH, Lee KH, Lee J, Solmi M, Jacob L, Smith L, & Stickley A (2022). Differential expression of MicroRNAs in Alzheimer’s disease: a systematic review and meta-analysis. Molecular Psychiatry, 27(5), 2405– 2413. 35264731
- Yu P, Venkat P, Chopp M, Zacharek A, Shen Y, Ning R, Liang L, Li W, Zhang L, & Landschoot-Ward J (2019). Role of microRNA-126 in vascular cognitive impairment in mice. Journal of Cerebral Blood Flow & Metabolism, 39(12), 2497– 2511. 30215264 PMC6893975
- Zambon AC, Gaj S, Ho I, Hanspers K, Vranizan K, Evelo CT, Conklin BR, Pico AR, & Salomonis N (2012). GO-Elite: a flexible solution for pathway and ontology over-representation. Bioinformatics, 28(16), 2209– 2210. 10.1093/bioinformatics/bts366 22743224 PMC3413395 · DOI
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Sorted by citations
Human brain microRNAs exhibit cell-type specificity and age dependence
Dubnov, S., Laski, L., Zchut, I., Avidan, O., Bennett, E. R., Greenberg, D. S., Turjeman, A., Nitzan, M., Paldor, I., & Soreq, H. (2026) · doi:10.64898/2026.01.04.697535
- Authors
- Luo, T., Vattathil, S. M., Lori, A., Schneider, J. A., Bennett, D. A., Wingo, T. S., & Wingo, A. P.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2025-07
- Volume
- 151
- Pages
- 42-53
- ISSN
- 0197-4580
- PMC
- PMC13333544
- Cited by
- 6
- References
- 3
- Language
- en
- Licence
- Funders
- U.S. Department of Veterans Affairs (I01 BX003853, IK4BX005219)
- National Institute on Aging (R01 AG056533, P30 AG010161, U01 AG061356, R01 AG079170, R01 AG017917, R01 AG015819, R01 AG075827, R01 AG072120, P30 AG072975, U01 AG046152, I01 BX003853, IK4BX005219)
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