Evidence map›Paper›PMID 26973511›Full record

ArticleFrontiers in aging neuroscience2016

microRNA Profiles in Parkinson's Disease Prefrontal Cortex.

Andrew G Hoss, Adam Labadorf, Thomas G Beach, Jeanne C Latourelle, Richard H Myers

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 4 pooled it
6.9field-weighted citation impact, top 2% 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

98 citing papers in PubMed, 4 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. The Role of miRNAs in Parkinson's Disease: A Systematic Review.International journal of molecular sciences · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Identification and validation of Parkinson's disease relevant microRNAs in plasma extracellular vesicles.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. miRNA family miR-29 inhibits PINK1-PRKN signaling via ATG9A.Molecular neurodegeneration advances · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Unlocking Parkinson's disease: the role of microRNAs in regulation, diagnosis, and therapy.Apoptosis : an international journal on programmed cell death · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Exosomal microRNAs in Parkinson's disease: insights into biomarker potential and disease pathology.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Review
  19. The Role of miR-137 in Neurodegenerative Disorders.International journal of molecular sciences · 2024
    Review
  20. An Overview of Epigenetic Changes in the Parkinson's Disease Brain.International journal of molecular sciences · 2024
    Review

38 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

5 authors at 2 institutions in 1 country.

Andrew G HossDepartment of Neurology, Boston University School of MedicineBoston, MA, USA; Graduate Program in Genetics and Genomics, Boston University School of MedicineBoston, MA, USA.
Adam LabadorfDepartment of Neurology, Boston University School of MedicineBoston, MA, USA; Bioinformatics Program, Boston UniversityBoston, MA, USA.
Thomas G BeachBanner Sun Health Research Institute Sun City, AZ, USA.
Jeanne C LatourelleDepartment of Neurology, Boston University School of Medicine Boston, MA, USA.
Richard H MyersDepartment of Neurology, Boston University School of MedicineBoston, MA, USA; Graduate Program in Genetics and Genomics, Boston University School of MedicineBoston, MA, USA; Bioinformatics Program, Boston UniversityBoston, MA, USA; Genome Science Institute, Boston University School of MedicineBoston, MA, USA.
Boston University · USBanner Sun Health Research Institute · US

Funding

National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
An iPSC based platform for functionally assessing genetic and environmental riskR01NS088538 · NINDS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI JAENISCH, RUDOLF, MYERS, RICHARD H · 2014 to 2018
$5.0M
Epigenetic Markers in Huntington's disease BrainR01NS073947 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MYERS, RICHARD H · 2011 to 2015
$3.1M
Characterization of the role of cyclin G-associated kinase in Parkinson diseaseR01NS076843 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MYERS, RICHARD H · 2011 to 2013
$1.4M
NINDS NIH HHS R01 NS073947NINDS NIH HHS R01 NS076843NINDS NIH HHS R01 NS088538NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

objectiveThe goal of this study was to compare the microRNA (miRNA) profile of Parkinson's disease (PD) frontal cortex with normal control brain, allowing for the identification of PD specific signatures as well as study the disease-related phenotypes of onset age and dementia.

methodsSmall RNA sequence analysis was performed from prefrontal cortex for 29 PD samples and 33 control samples. After sample QC, normalization and batch correction, linear regression was employed to identify miRNAs altered in PD, and a PD classifier was developed using weighted voting class prediction. The relationship of miRNA levels to onset age and PD with dementia (PDD) was also characterized in case-only analyses.

resultsOne twenty five miRNAs were differentially expressed in PD at a genome-wide level of significance (FDR q < 0.05). A set of 29 miRNAs classified PD from non-diseased brain (93.9% specificity, 96.6% sensitivity). The majority of differentially expressed miRNAs (105/125) showed an ordinal relationship from control, to PD without dementia (PDN), to PDD. Among PD brains, 36 miRNAs classified PDD from PDN (sensitivity = 81.2%, specificity = 88.9%). Among differentially expressed miRNAs, miR-10b-5p had a positive association with onset age (q = 4.7e-2).

conclusionsBased on cortical miRNA levels, PD brains were accurately classified from non-diseased brains. Additionally, the PDD miRNA profile exhibited a more severe pattern of alteration among those differentially expressed in PD. To evaluate the clinical utility of miRNAs as potential clinical biomarkers, further characterization and testing of brain-related miRNA alterations in peripheral biofluids is warranted.

Indexed as

cortexdementiaHuntington's diseasemiRNAParkinson's diseasesmall RNA sequencing

Identifiers

PMID26973511
PMCPMC4772525
OpenAlexW2302900931

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.