CoChat
Sign Up
Cited by 158

Plasma microRNA biomarkers for detection of mild cognitive impairment

Sheinerman, Kira S., Tsivinsky, Vladimir G., Crawford, Fiona, Mullan, Michael J., Abdullah, Laila, Umansky, Samuil R.·2012·Aging
DOI 10.18632/aging.100486PMC PMC3492224
Open this paper in CoChat — free account

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 · 10.18632/aging.100486

Cites

11 of 11 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?

  • This calls into question plasma biomarker studies purported to show brain-specific changes in general miRNA expression estimates.

    “This calls into question plasma biomarker studies purported to show brain-specific changes in general miRNA expression estimates [44, 45].”

    From A curated human cellular microRNAome based on 196 primary cell types (2022) · cites this paper as [45]

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: 60

  1. 2011 Alzheimer's Disease Facts and Figures. Report of Alzheimer's Association. http://www.alz.org/downloads/Facts_Figures_2011.pdf. 21414557
  2. DeCarli C Mild cognitive impairment: prevalence, prognosis, etiology, and treatment Lancet Neurol 2003 2 15 21 12849297
  3. Markesbery WR Neuropathologic Alterations in Mild Cognitive, Impairment: A Review J. Alzheimers Dis 2010 19 221 228 20061641 PMC2872776
  4. Apostolova LG Thompson PM Green AE Hwang KS Zoumalan C Jack CR Jr Harvey DJ Petersen RC Thal LJ Aisen PS Toga AW Cummings JL Decarli CS 3D comparison of low, intermediate, and advanced hippocampal atrophy in MCI Hum Brain Mapp 2010 31 786 799 20143386 PMC2938765
  5. Petersen RC Doody R Kurz A Mohs RC Morris JC Rabins PV Ritchie K Rossor M Thal L Winblad B Current concepts in mild cognitive impairment Arch Neurol 2001 58 1985 1992 11735772
  6. Larrieu S Letenneur L Orgogozo JM Fabrigoule C Amieva H Le Carret N Barberger-Gateau P Dartigues JF Incidence and outcome of mild cognitive impairment in a population-based prospective cohort Neurology 2002 59 1594 1599 12451203
  7. Brooks LG Loewenstein DA Assessing the progression of mild cognitive impairment to Alzheimer's disease: current trends and future directions Alzheimers Res Therapy 2010 2 28 36 PMC2983437 20920147
  8. Jicha GA Parisi JE Dickson DW Johnson K Cha R Ivnik RJ Tangalos EG Boeve BF Knopman DS Braak H Petersen RC Neuropathologic outcome of mild cognitive impairment following progression to clinical dementia Arch Neurol 2006 63 674 681 16682537
  9. Khan TK Alkon DL Early diagnostic accuracy and pathophysiologic relevance of an autopsy-confirmed Alzheimer's disease peripheral biomarker Neurobiol Aging 2010 31 889 900 18760507
  10. Stephan BCM Matthews FE Khaw K-T Dufouil C Brayne C Beyond mild cognitive impairment: vascular cognitive impairment, no dementia (VCIND) Alzheimers Res Therapy 2009 1 4 12 PMC2719105 19674437
  11. Doody RS Pavlik V Massman P Rountree S Darby E Chan W Predicting progression to Alzheimer's disease Alzheimers Res Ther 2010 2 2 10 20178566 PMC2874261
  12. Dlugaj M Weimar C Wege N Verde PE Gerwig M Dragano N Moebus S Jöckel KH Erbel R Siegrist J Heinz Nixdorf Recall Study Investigative Group. Prevalence of Mild Cognitive Impairment and Its Subtypes in the Heinz Nixdorf Recall Study Cohort Dement Geriatr Cogn Disord 2010 30 362 373 20956854
  13. Mariani E Monastero R Mecocci P Mild cognitive impairment: a systematic review J Alzheimers Dis 2007 12 23 35 17851192
  14. Luck T Busse A Hensel A Angermeyer MC Riedel-Heller SG Mild cognitive impairment and development of dementia Psychiatr Prax 2008 35 331 336 18504687
  15. Rountree SD Waring SC Chan WC Lupo PJ Darby EJ Doody RS Importance of subtle amnestic and nonamnestic deficits in mild cognitive impairment: prognosis and conversion to dementia Dement Geriatr Cogn Disord 2007 24 476 482 17992015
  16. Fagan AM Shaw LM Xiong C Vanderstichele H Mintun MA Trojanowski JQ Coart E Morris JC Holtzman DM Comparison of analytical platforms for cerebrospinal fluid measures of β-amyloid 1-42, total tau, and P-tau(181) for identifying Alzheimer disease amyloid plaque pathology Arch Neurol 2011 68 1137 1144 21555603 PMC3154969
  17. Mistur R Mosconi L Santi SD Guzman M Li Y Tsui W de Leon MJ Current Challenges for the Early Detection of Alzheimer's Disease: Brain Imaging and CSF Studies J Clin Neurol 2009 5 153 166 20076796 PMC2806537
  18. Miller G Alzheimer's biomarker initiative hits its stride Science 2009 326 386 389 19833956
  19. Schmand B Eikelenboom P van Gool WA Value of Neurophysiological Tests, Neuroimaging, and Biomarkers for Diagnosing Alzheimer's Disease in Younger and Older Age Cohorts J Am Geriatr Soc 2001 59 1705 1710 21883100
  20. Ray S Britschgi M Herbert C Takeda-Uchimura Y Boxer A Blennow K Friedman LF Galasko DR Jutel M Karydas A Kaye JA Leszek J Miller BL Minthon L Quinn JF Rabinovici GD Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins Nat Med 2007 13 1359 1362 17934472
  21. Reddy MM Wilson R Wilson J Connell S Gocke A Hynan L German D Kodadek T Identification of candidate IgG biomarkers for Alzheimer's disease via combinatorial library screening Cell 2011 144 132 142 21215375 PMC3066439
  22. Nagele E Han M Demarshall C Belinka B Nagele R Diagnosis of Alzheimer's disease based on disease-specific autoantibody profiles in human sera PLoS One 2011 6 e23112 21826230 PMC3149629
  23. Bredesen DE Neurodegeneration in Alzheimer's disease: caspases and synaptic element independence Mol Neurodegener 2009 4 27 36 19558683 PMC2709109
  24. Nimmrich V Ebert U Is Alzheimer's disease a result of presynaptic failure? Synaptic disfunctions induced byoligomeric beta-amyloid Rev Neurosci 2009 20 1 12 19526730
  25. Eaton BA Davis GW Synapse disassembly Genes Dev 2003 17 2075 2082 12952887
  26. Koirala S Ko C-P Pruning an Axon Piece by Piece Neuron 2004 44 578 580 15541305
  27. Bishop DL Misgeld T Walsh MK Gan W-B Lichtman JW Axon branch removal at developing synapses by axosome shedding Neuron 2004 44 651 661 15541313
  28. Low LK Cheng H-J Axon pruning: an essential step underlying the developmental plasticity of neuronal connections Phil Trans R Soc B 2006 361 1531 1544 16939973 PMC1664669
  29. Griffiths-Jones S Grocock RJ van Dongen S Bateman A Enright AJ miRBase: microRNA sequences, targets and gene nomenclature Nucleic Acids Res 2006 34 Database issue: D140 D144 16381832 PMC1347474
  30. Bartel DP MicroRNAs: target recognition and regulatory functions Cell 2009 136 215 233 19167326 PMC3794896
  31. McNeill E Van Vactor D MicroRNAs Shape the Neuronal Landscape Neuron 2012 75 363 379 22884321 PMC3441179
  32. Hua Y-J Tang Z-Y Tu K Zhu L Li Y-X Xie L Xiao HS Identification and target prediction of miRNAs specifically expressed in rat neural tissue BMC Genomics 2009 10 214 225 19426523 PMC2688525
  33. Liang Y Ridzon D Wong L Chen C Characterization of microRNA expression profiles in normal human tissues BMC Genomics 2007 8 166 185 17565689 PMC1904203
  34. Lee EJ Baek M Gusev Y Brackett DJ Nuovo GJ Schmittgen TD Systematic evaluation of microRNA processing patterns in tissues, cell lines, and tumors RNA 2008 14 35 42 18025253 PMC2151027
  35. Lugli G Torvik VI Larson J Smalheiser NR Expression of microRNAs and their precursors in synaptic fractions of adult mouse forebrain J Neurochem 2008 106 650 661 18410515 PMC3711666
  36. Kye MJ Liu T Levy SF Xu NL Groves BB Bonneau R Lao K Kosik KS Somatodendritic microRNAs identified by laser capture and multiplex RT-PCR RNA 2007 13 1224 1234 17592044 PMC1924896
  37. O'Carroll D Schaefer A General Principals of miRNA Biogenesis and Regulation in the Brain Neuropsychopharmacology 6 6 2012 [Epub ahead of print] PMC3521995 22669168
  38. Schratt G microRNAs at the synapse Nat Rev Neurosci 2009 10 842 849 19888283
  39. Pichardo-Casas I Goff LA Swerdel MR Athie A Davila J Ramos-Brossier M Lapid-Volosin M Friedman WJ Hart RP Vaca L Expression profiling of synaptic microRNAs from the adult rat brain identifies regional differences and seizure-induced dynamic modulation Brain Res 2012 1436 20 33 22197703 PMC4431575
  40. Satoh J-i MicroRNAs and Their Therapeutic Potential for Human Diseases: Aberrant MicroRNA Expression in Alzheimer's Disease Brain J Pharmacol Sci 2010 114 269 275 20953120
  41. Tacutu R Budovsky A Yanai H Fraifeld VE Molecular links between cellular senescence, longevity and age-related diseases - a systems biology perspective Aging (Albany NY) 2011 3 1178 1191 22184282 PMC3273898
  42. Provost P Interpretation and applicability of microRNA data to the context of Alzheimer's and age-related diseases Aging (Albany NY) 2010 2 166 169 20375468 PMC2871245
  43. Yao J Hennessey T Flynt A Lai E Beal MF Lin MT MicroRNA-related cofilin abnormality in Alzheimer's disease PLoS One 2010 5 e15546 21179570 PMC3002958
  44. Mitchell PS Parkin RK Kroh EM Fritz BR Wyman SK Pogosova-Agadjanyan EL Peterson A Noteboom J O'Briant KC Allen A Lin DW Urban N Drescher CW Knudsen BS Stirewalt DL Gentleman R Vessella RL Nelson PS Martin DB Tewari M Circulating microRNAs as stable blood-based markers for cancer detection Proc Natl Acad Sci U S A 2008 105 10513 10518 18663219 PMC2492472
  45. Mizuno H Nakamura A Aoki Y Ito N Kishi S Yamamoto K Sekiguchi M Takeda S Hashido K Identification of muscle-specific microRNAs in serum of muscular dystrophy animal models: promising novel blood-based markers for muscular dystrophy PLoS One 2011 6 e18388 21479190 PMC3068182
  46. Cuk K Zucknick M Heil J Madhavan D Schott S Turchinovich A Arlt D Rath M Sohn C Benner A Junkermann H Schneeweiss A Burwinkel B Circulating microRNAs in plasma as early detection markers for breast cancer Int J Cancer 28 8 2012 [Epub ahead of print] 22927033
  47. Pichardo-Casas I Goff LA Swerdel MR Athie A Davila J Ramos-Brossier M Lapid-Volosin M Friedman WJ Hart RP Vaca L Expression profiling of synaptic microRNAs from the adult rat brain identifies regional differences and seizure-induced dynamic modulation Brain Res 2012 1436 20 33 22197703 PMC4431575
  48. Martinez I Almstead LL DiMaio D MicroRNAs and senescence Aging (Albany NY) 2011 3 77 78 21304181 PMC3082014
  49. Inukai S de Lencastre A Turner M Slack F Novel MicroRNAs Differentially Expressed during Aging in the Mouse Brain PLoS One 2012 7 e40028 22844398 PMC3402511
  50. Benhamed M Herbig U Ye T Dejean A Bischof O Senescence is an endogenous trigger for microRNA-directed transcriptional gene silencing in human cells Nat Cell Biol 2012 14 266 275 22366686 PMC5423543
  51. Smith-Vikos T Slack FJ MicroRNAs and their roles in aging J Cell Sci 2012 125 Pt 1 7 17 22294612 PMC3269020
  52. Li X Khanna A Li N Wang E Circulatory miR34a as an RNA-based, noninvasive biomarker for brain aging Aging (Albany NY) 2011 3 985 1002 22064828 PMC3229974
  53. Sperling RA Aisen PS Beckett LA Bennett DA Craft S Fagan AM Iwatsubo T Jack CR Jr Kaye J Montine TJ Park DC Reiman EM Rowe CC Siemers E Stern Y Yaffe K Toward defining the preclinical stages of Alzheimer's disease: Recommendations from National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease Alzheimers Dement 2011 7 280 292 21514248 PMC3220946
  54. Abdullah L Luis C Paris D Mouzon B Ait-Ghezala G Keegan AP Wang D Crawford F Mullan M Serum Abeta levels as predictors of conversion to mild cognitive impairment/Alzheimer disease in an ADAPT subcohort Mol Med 2009 15 432 437 19707525 PMC2730348
  55. Luis CA Abdullah L Ait-Ghezala G Mouzon B Keegan AP Crawford F Mullan M Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid Int. J. Alzheimers Dis 2011 2011 Article ID 786264 PMC3109876 21660215
  56. McKhann G Drachman D Folstein M Katzman R Price D Stadlan EM Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease Neurology 1984 34 939 944 6610841
  57. Eng J Sample Size Estimation: How Many Individuals Should Be Studied? Radiology 2003 227 309 313 12732691
  58. Peltier HJ Latham GJ Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues RNA 2008 14 844 852 18375788 PMC2327352
  59. Hennessey PT Sanford T Choudhary A Mydlarz WW Brown D Adai AT Ochs MF Ahrendt SA Mambo E Califano JA Serum microRNA biomarkers for detection of non-small cell lung cancer PLoS One 2012 7 e32307 22389695 PMC3289652
  60. Matthaei H Wylie D Lloyd MB Dal Molin M Kemppainen J Mayo SC Wolfgang CL Schulick RD Langfield L Andruss BF Adai AT Hruban RH Szafranska-Schwarzbach AE Maitra A miRNA Biomarkers in Cyst Fluid Augment the Diagnosis and Management of Pancreatic Cysts Clin Cancer Res 2012 8 21 [Epub ahead of print] PMC3547600 22723372

Cited by

Sorted by citations

Authors
Sheinerman, K. S., Tsivinsky, V. G., Crawford, F., Mullan, M. J., Abdullah, L., & Umansky, S. R.
Affiliations
  • DiamiR, LLC, Princeton, NJ 08540, USA
  • Roskamp Institute, Sarasota, FL 34243, USA
Venue
Aging
Publisher
Impact Journals, LLC
Published
2012-09-19
Volume
4
Issue
9
Pages
590-605
ISSN
1945-4589
DOI
10.18632/aging.100486
PMC
PMC3492224
Cited by
158
References
11
Language
en

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