Cited by 86

Over-expression of miR-34a induces rapid cognitive impairment and Alzheimer’s disease-like pathology

Sarkar, S., Engler-Chiurazzi, E.B., Cavendish, J.Z., Povroznik, J.M., Russell, A.E., Quintana, D.D., Mathers, P.H., Simpkins, J.W.·2019·Brain Research

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.brainres.2019.146327

Cites

10 of 10 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Through repression of TREM2 and SIRT1, miR-34a lowers microglial capacity to clear Aβ and promotes a sustained inflammatory phenotype, contributing to synaptic and metabolic decline.

    “Through this repression, miR-34a lowers microglial capacity to clear Aβ and promotes a sustained inflammatory phenotype, contributing to synaptic and metabolic decline (Sarkar et al., 2016; Sarkar et al., 2019).”

    From Cell-specific MicroRNA networks orchestrate the pathogenesis of Alzheimer’s disease (2026) · cites this paper as Sarkar et al., 2019

    The Results report reduced SIRT1 protein in miR-34a-overexpressing mice, and the Discussion links SIRT1 inhibition to disrupted energy metabolism and inflammatory responses, alongside impaired synaptic function. But the cited paper does not establish TREM2 repression, reduced microglial Aβ clearance, or a sustained microglial inflammatory phenotype; its reported Aβ findings concern APP processing and predominantly intracellular Aβ. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • MiR-34a is strongly induced in AD and directly represses TREM2 and SIRT1, both essential for microglial metabolic fitness, phagocytosis, and transition into the disease-associated microglial (DAM) state.

    “MiR-34a is also strongly induced in AD and exerts multifaceted pathogenic effects. It directly represses TREM2 and SIRT1, both essential for microglial metabolic fitness, phagocytosis, and transition into the disease-associated microglial (DAM) state (Bhattacharjee et al., 2014; Sarkar et al., 2016; Sarkar et al., 2019).”

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

Flagged first, then by citations

Research works printed but not linked: 46

  1. Argarwal V, Bell GW, Nam J, Bartel DP, 2015 Predicting effective microRNA target sites in mammalian mRNAs. PMC4532895 26267216
  2. Allen M,, 2012 Novel late-onset Alzheimer disease loci variants associate with brain gene expression. Neurology 79, 221– 228. 22722634 PMC3398432
  3. Arriaga M, Han EB, 2017 Dedicated hippocampal inhibitory networks for locomotion and immobility. J. Neurosci 37, 9222– 9238. 28842418 PMC6596740
  4. Bannon AW, Malmberg AB, 2007 Models of nociception: hot-plate, tail-flick, and formalin tests in rodents. Curr. Protoc. Neurosci 41, 8.9.1– 8.9.16. 18428666
  5. Baron SP, Wenger GR, 2001 Effects of drugs of abuse on response accuracy and bias under a delayed matching-to-sample procedure in squirrel monkeys. Behav. Pharmacol 12, 247– 256. 11548110
  6. Boon RA,, 2013 MicroRNA-34a regulates cardiac ageing and function. Nature 495, 107– 110. 23426265
  7. Buzsaki G, 2002 Theta oscillations in the hippocampus. Neuron 33, 325– 340. 11832222
  8. Canto C, Auwerx J, 2009 PGC-1alpha, SIRT1 and AMPK, an energy sensing network that controls energy expenditure. Curr. Opin. Lipidol 20, 98– 105. 19276888 PMC3627054
  9. Carlesimo GA, Oscar-Berman M, 1992 Memory deficits in Alzheimer’s patients: a comprehensive review. Neuropsychol. Rev 3, 119– 169. 1300219
  10. Carlson GA,, 1997 Genetic modification of the phenotypes produced by amyloid precursor protein overexpression in transgenic mice. Hum. Mol. Genet 6, 1951– 1959. 9302276
  11. Cosín-Tomás M,, 2017 Plasma miR-34a-5p and miR-545–3p as early biomarkers of Alzheimer’s Disease: potential and limitations. Mol. Neurobiol 54, 5550– 5562. 27631879
  12. Denenberg VH, 1969 Open-field bheavior in the rat: what does it mean? Ann. N. Y. Acad. Sci 159, 852– 859. 5260302
  13. Doll DN,, 2015 Lipopolysaccharide exacerbates infarct size and results in worsened post-stroke behavioral outcomes. Behav. Brain Funct 11, 32. 26463864 PMC4604642
  14. Fellous JM, Sejnowski TJ, 2003 Regulation of persistent activity by background inhibition in an in vitro model of a cortical microcircuit. Cereb. Cortex 13, 1232– 1241. 14576214 PMC2928820
  15. Fonken LK,, 2016 The alarmin HMGB1 mediates age-induced neuroinflammatory priming. J. Neurosci 36, 7946– 7956. 27466339 PMC4961779
  16. Fuhrmann F,, 2015 Locomotion, theta oscillations, and the speed-correlated firing of hippocampal neurons are controlled by a medial septal glutamatergic circuit. Neuron 86, 1253– 1264. 25982367
  17. Gao J,, 2010 A novel pathway regulates memory and plasticity via SIRT1 and miR-134. Nature 466, 1105– 1109. 20622856 PMC2928875
  18. Ghoneim MM,, 1985 Ketamine: behavioral effects of subanesthetic doses. J. Clin. Psychopharmacol 5, 70– 77. 3988972
  19. Gottesman RF,, 2017 Associations between midlife vascular risk factors and 25-year incident dementia in the atherosclerosis risk in communities (ARIC) cohort. JAMA Neurol. 74, 1246– 1254. 28783817 PMC5710244
  20. Hebert SS,, 2008 Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer’s disease correlates with increased BACE1/beta-secretase expression. Proc. Natl. Acad. Sci. U.S.A 105, 6415– 6420. 18434550 PMC2359789
  21. Homayoun H,, 2004 Functional interaction between NMDA and mGlu5 receptors: effects on working memory, instrumental learning, motor behaviors, and dopamine release. Neuropsychopharmacology 29, 1259– 1269. 15010696
  22. Hu J,, 2019 RBFox2-miR-34a-Jph2 axis contributes to cardiac decompensation during heart failure. Proc. Natl. Acad. Sci. U.S.A 116, 6172– 6180. 30867288 PMC6442575
  23. Jackson ME, Homayoun H, Moghaddam B, 2004 NMDA receptor hypofunction produces concomitant firing rate potentiation and burst activity reduction in the prefrontal cortex. Proc. Natl. Acad. Sci. U.S.A 101, 8467– 8472. 15159546 PMC420417
  24. Lee HR,, 2014 Cilostazol suppresses beta-amyloid production by activating a disintegrin and metalloproteinase 10 via the upregulation of SIRT1-coupled retinoic acid receptor-beta. J. Neurosci. Res 92, 1581– 1590. 24903973
  25. Liang WS,, 2008 Alzheimer’s disease is associated with reduced expression of energy metabolism genes in posterior cingulate neurons. Proc. Natl. Acad. Sci. U.S.A 105, 4441– 4446. 18332434 PMC2393743
  26. Lisman JE, Fellous JM, Wang XJ, 1998 A role for NMDA-receptor channels in working memory. Nat. Neurosci 1, 273– 275. 10195158
  27. Liu N,, 2012 The microRNA miR-34 modulates ageing and neurodegeneration in Drosophila. Nature 482, 519– 523. 22343898 PMC3326599
  28. Luo Y,, 2013 PTPA activates protein phosphatase-2A through reducing its phosphorylation at tyrosine-307 with upregulation of protein tyrosine phosphatase 1B. Biochim. Biophys. Acta 1833, 1235– 1243. 23428800
  29. Marzi MJ,, 2016 Degradation dynamics of microRNAs revealed by a novel pulse-chase approach. Genome Res. 26, 554– 565. 26821571 PMC4817778
  30. McQuail JA,, 2016 NR2A-containing NMDARs in the prefrontal cortex are required for working memory and associated with age-related cognitive decline. J. Neurosci 36, 12537– 12548. 27807032 PMC5157101
  31. Miake J, Marban E, Nuss HB, 2003 Functional role of inward rectifier current in heart probed by Kir2.1 overexpression and dominant-negative suppression. J. Clin. Invest 111, 1529– 1536. 12750402 PMC155052
  32. Oddo S,, 2003 Triple-transgenic model of Alzheimer’s disease with plaques and tangles: intracellular Abeta and synaptic dysfunction. Neuron 39, 409– 421. 12895417
  33. Oye I, Paulsen O, Maurset A, 1992 Effects of ketamine on sensory perception: evidence for a role of N-methyl-D-aspartate receptors. J. Pharmacol. Exp. Ther 260, 1209– 1213. 1312163
  34. Phillips HS,, 1991 BDNF mRNA is decreased in the hippocampus of individuals with Alzheimer’s disease. Neuron 7, 695– 702. 1742020
  35. Sarkar S,, 2016 Expression of microRNA-34a in Alzheimer’s disease brain targets genes linked to synaptic plasticity, energy metabolism, and resting state network activity. Brain Res. 1646, 139– 151. 27235866 PMC4975975
  36. Seamans JK, Nogueira L, Lavin A, 2003 Synaptic basis of persistent activity in prefrontal cortex in vivo and in organotypic cultures. Cereb. Cortex 13, 1242– 1250. 14576215 PMC6636318
  37. Selkoe DJ, 2002 Alzheimer’s disease is a synaptic failure. Science 298, 789– 791. 12399581
  38. Seshadri S,, 2010 Genome-wide analysis of genetic loci associated with Alzheimer disease. JAMA 303, 1832– 1840. 20460622 PMC2989531
  39. Smith P,, 2011 In vivo regulation of amyloid precursor protein neuronal splicing by microRNAs. J. Neurochem 116, 240– 247. 21062284
  40. Suryavanshi PS,, 2014 GluN2C/GluN2D subunit-selective NMDA receptor potentiator CIQ reverses MK-801-induced impairment in prepulse inhibition and working memory in Y-maze test in mice. Br. J. Pharmacol 171, 799– 809. 24236947 PMC3969090
  41. Theendakara V,, 2013 Neuroprotective Sirtuin ratio reversed by ApoE4. Proc. Natl. Acad. Sci. U.S.A 110, 18303– 18308. 24145446 PMC3831497
  42. Vilardo E,, 2010 MicroRNA-101 regulates amyloid precursor protein expression in hippocampal neurons. J. Biol. Chem 285, 18344– 18351. 20395292 PMC2881760
  43. Wang M,, 2013 NMDA receptors subserve persistent neuronal firing during working memory in dorsolateral prefrontal cortex. Neuron 77, 736– 749. 23439125 PMC3584418
  44. Yamakuchi M, Ferlito M, Lowenstein CJ, 2008 miR-34a repression of SIRT1 regulates apoptosis. Proc. Natl. Acad. Sci. U.S.A 105, 13421– 13426. 18755897 PMC2533205
  45. Yeung F,, 2004 Modulation of NF-kappaB-dependent transcription and cell survival by the SIRT1 deacetylase. EMBO J. 23, 2369– 2380. 15152190 PMC423286
  46. Zovoilis A,, 2011 microRNA-34c is a novel target to treat dementias. EMBO J. 30, 4299– 4308. 21946562 PMC3199394

Cited by

Sorted by citations

Authors
Sarkar, S., Engler-Chiurazzi, E. B., Cavendish, J. Z., Povroznik, J. M., Russell, A. E., Quintana, D. D., Mathers, P. H., & Simpkins, J. W.
Venue
Brain Research
Publisher
Elsevier BV
Published
2019-10
Volume
1721
Pages
146327
ISSN
0006-8993
Cited by
86
References
10
Language
en
Funders
National Institutes of Health (P01 AG027956, P20 GM109098, T32 AG052375, U54 GM10494243T)

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