Evidence map›Paper›PMID 23403535›Full record

ArticleJournal of Alzheimer's disease : JAD2013

A study of small RNAs from cerebral neocortex of pathology-verified Alzheimer's disease, dementia with lewy bodies, hippocampal sclerosis, frontotemporal lobar dementia, and non-demented human controls.

Sébastien S Hébert, Wang-Xia Wang, Qi Zhu, Peter T Nelson

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 4 pooled it
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed, 4 syntheses or guidelines pooled it, 121 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Sébastien S HébertAxe Neurosciences, Centre de recherche du CHU de Québec, Québec, QC, Canada. sebastien.hebert@crchul.ulaval.ca
Wang-Xia Wang
Qi Zhu
Peter T Nelson
University of Kentucky · USLone Star College · USUniversité Laval · CA

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
A specific microRNA (Mir-107) is a potential therapeutic target in Alzheimer's diR01NS061933 · NINDS · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2008 to 2011
$1.3M
Sexually dimorphic miR-497 regulates alpha-synuclein and alpha-synucleinopathyR21NS085830 · NINDS · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2013 to 2014
$411k
MiR-15/107 microRNAs are important genetic regulators in Alzheimer diseaseR56NS061933 · NINDS · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2012 to 2012
$371k
Novel assay identifies all microRNA targets in Alzheimer and normal aged brainsR21AG036875 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2010 to 2011
$341k
NIA NIH HHS AG028383NIA NIH HHS AG036875NIA NIH HHS P30 AG028383NIA NIH HHS R21 AG036875NINDS NIH HHS NS061933NINDS NIH HHS R01 NS061933NINDS NIH HHS R21 NS085830NINDS NIH HHS R56 NS061933
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small (20-22 nucleotides) regulatory non-coding RNAs that strongly influence gene expression. Most prior studies addressing the role of miRNAs in neurodegenerative diseases (NDs) have focused on individual diseases such as Alzheimer's disease (AD), making disease-to-disease comparisons impossible. Using RNA deep sequencing, we sought to analyze in detail the small RNAs (including miRNAs) in the temporal neocortex gray matter from non-demented controls (n = 2), AD (n = 5), dementia with Lewy bodies (n = 4), hippocampal sclerosis of aging (n = 4), and frontotemporal lobar dementia (FTLD) (n = 5) cases, together accounting for the most prevalent ND subtypes. All cases had short postmortem intervals, relatively high-quality RNA, and state-of-the-art neuropathological diagnoses. The resulting data (over 113 million reads in total, averaging 5.6 million reads per sample) and secondary expression analyses constitute an unprecedented look into the human cerebral cortical miRNome at a nucleotide resolution. While we find no apparent changes in isomiR or miRNA editing patterns in correlation with ND pathology, our results validate and extend previous miRNA profiling studies with regard to quantitative changes in NDs. In agreement with this idea, we provide independent cohort validation for changes in miR-132 expression levels in AD (n = 8) and FTLD (n = 14) cases when compared to controls (n = 8). The identification of common and ND-specific putative novel brain miRNAs and/or short-hairpin molecules is also presented. The challenge now is to better understand the impact of these and other alterations on neuronal gene expression networks and neuropathologies.

Indexed as

AdultAgedAged, 80 and overAgingAlzheimer DiseaseAmino Acid SequenceBlotting, NorthernCohort StudiesComputational BiologyData Interpretation, StatisticalFemaleFrontotemporal Lobar DegenerationHippocampusHumansLewy Body DiseaseMaleMicroRNAsRNA, Small Cytoplasmic

Identifiers

PMID23403535
PMCPMC3753694
OpenAlexW1877411992

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.