Evidence map›Paper›PMID 27900678›Full record

ArticleMolecular neurobiology2017

A Customized Quantitative PCR MicroRNA Panel Provides a Technically Robust Context for Studying Neurodegenerative Disease Biomarkers and Indicates a High Correlation Between Cerebrospinal Fluid and Choroid Plexus MicroRNA Expression.

Wang-Xia Wang, David W Fardo, Gregory A Jicha, Peter T Nelson

Open access · greenAbstract read
In one paragraph

Article in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Choroid Plexus: The Orchestrator of Long-Range Signalling Within the CNS.International journal of molecular sciences · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Article
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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 1 institution in 1 country.

Wang-Xia WangSanders Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA. wwangc@email.uky.edu.ORCID http://orcid.org/0000-0002-8104-3779
David W FardoSanders Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA.
Gregory A JichaSanders Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA.
Peter T NelsonSanders Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA. pnels2@email.uky.edu.
University of Kentucky · US

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2006 to 2020
$23.3M
Novel pathogenetic mechanism for hippocampal sclerosis, a common Alzheimers mimicR01AG057187 · NIA · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2017 to 2021
$2.2M
Modulation of microRNA pathways by gemfibrozil in predementia Alzheimer diseaseR01AG042419 · NIA · UNIVERSITY OF KENTUCKY · PI JICHA, GREGORY A, NELSON, PETER T. · 2013 to 2016
$1.6M
Statistical Genetics Methods for Mixed PathologiesK25AG043546 · NIA · UNIVERSITY OF KENTUCKY · PI FARDO, DAVID WILLIAM · 2013 to 2015
$445k
Sexually dimorphic miR-497 regulates alpha-synuclein and alpha-synucleinopathyR21NS085830 · NINDS · UNIVERSITY OF KENTUCKY · PI NELSON, PETER T. · 2013 to 2014
$411k
NIA NIH HHS K25 AG043546NIA NIH HHS P30 AG028383NIA NIH HHS R01 AG042419NIA NIH HHS R01 AG057187NIH HHS P30 AG028383NIH HHS R01 AG 042419NIH HHS R21 NS085830NINDS NIH HHS R21 NS085830
6 · The paper itself

Abstract

MicroRNA (miRNA) expression varies in association with different tissue types and in diseases. Having been found in body fluids including blood and cerebrospinal fluid (CSF), miRNAs constitute potential biomarkers. CSF miRNAs have been proposed as biomarkers for neurodegenerative diseases; however, there is a lack of consensus about the best candidate miRNA biomarkers and there has been variability in results from different research centers, perhaps due to technical factors. Here, we sought to optimize technical parameters for CSF miRNA studies. We examined different RNA isolation methods and performed miRNA expression profiling with TaqMan® miRNA Arrays. More specifically, we developed a customized CSF-miRNA low-density array (TLDA) panel that contains 47 targets: miRNAs shown previously to be relevant to neurodegenerative disease, miRNAs that are abundant in CSF, data normalizers, and controls for potential blood and tissue contamination. The advantages of using this CSF-miRNA TLDA panel include specificity, sensitivity, fast processing and data analysis, and cost effectiveness. We optimized technical parameters for this assay. Further, the TLDA panel can be tailored to other specific purposes. We tested whether the profile of miRNAs in the CSF resembled miRNAs isolated from brain tissue (hippocampus or cerebellum), blood, or the choroid plexus. We found that the CSF miRNA expression profile most closely resembles that of choroid plexus tissue, underscoring the potential importance of choroid plexus-derived signaling through CSF miRNAs. In summary, the TLDA miRNA array panel will enable evaluation and discovery of CSF miRNA biomarkers and can potentially be utilized in clinical diagnosis and disease stage monitoring.

Indexed as

BiomarkersBrainChoroid PlexusGene ExpressionGene Expression ProfilingHumansMicroRNAsNeurodegenerative DiseasesReal-Time Polymerase Chain ReactionBiomarkersMicroRNAsBiofluidBiomarkerCerebrospinal fluidChoroid plexusMicroRNANeurodegenerative disease

Identifiers

PMID27900678
PMCPMC5447496
OpenAlexW2557809171

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.