Evidence map›Paper›PMID 29707120›Full record

ArticleOncotarget2018

miRNA-based signatures in cerebrospinal fluid as potential diagnostic tools for early stage Parkinson's disease.

Marcia Cristina T Dos Santos, Miguel Arturo Barreto-Sanz, Bruna Renata S Correia, Rosie Bell, Catherine Widnall, Luis Tosar Perez, Caroline Berteau, Claudia Schulte, Dieter Scheller, Daniela Berg and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 4 pooled it
4.8field-weighted citation impact, top 4% 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

76 citing papers in PubMed, 4 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. The Role of miRNAs in Parkinson's Disease: A Systematic Review.International journal of molecular sciences · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. MicroRNAs and synaptic dysfunction in Parkinson's disease.Molecular therapy. Nucleic acids · 2025
    Review
  9. Review
  10. Autophagic stress activates distinct compensatory secretory pathways in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Review
  12. Parkinson's Disease: Biomarkers for Diagnosis and Disease Progression.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. 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
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

16 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

13 authors at 6 institutions in 4 countries.

Marcia Cristina T Dos SantosExperimental Medicine and Diagnostics, Global Exploratory Development, UCB Biopharma SPRL, Braine-l'Alleud, Belgium.
Miguel Arturo Barreto-SanzSimplicityBio SA, Monthey, Switzerland.
Bruna Renata S CorreiaHospital Sirio Libanes, São Paulo, Brazil.
Rosie BellCentre for Misfolding Diseases, University of Cambridge, Cambridge, UK.
Catherine WidnallLeeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, UK.
Luis Tosar PerezBioanalytical Sciences, Non Clinical Development, UCB Biopharma SPRL, Belgium.
Caroline BerteauLeeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, UK.
Claudia SchulteHertie Institute for Clinical Brain Research, Department of Neurodegeneration, University of Tuebingen and German Center for Neurodegenerative Diseases, Tuebingen, Germany.
Dieter SchellerConsultancy Neuropharm, Neukirchener, Neuss, Germany.
Daniela BergHertie Institute for Clinical Brain Research, Department of Neurodegeneration, University of Tuebingen and German Center for Neurodegenerative Diseases, Tuebingen, Germany.
Walter MaetzlerHertie Institute for Clinical Brain Research, Department of Neurodegeneration, University of Tuebingen and German Center for Neurodegenerative Diseases, Tuebingen, Germany.
Pedro A F GalanteHospital Sirio Libanes, São Paulo, Brazil.
Andre Nogueira da CostaExperimental Medicine and Diagnostics, Global Exploratory Development, UCB Biopharma SPRL, Braine-l'Alleud, Belgium.
UCB Pharma (Belgium) · BEHospital Sírio-Libanês · BRKiel University · DEUniversity of Leeds · GBGerman Center for Neurodegenerative Diseases · DEUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's Disease is the second most common neurodegenerative disorder, affecting 1-2% of the elderly population. Its diagnosis is still based on the identification of motor symptoms when a considerable number of dopaminergic neurons are already lost. The development of translatable biomarkers for accurate diagnosis at the earliest stages of PD is of extreme interest. Several microRNAs have been associated with PD pathophysiology. Consequently, microRNAs are emerging as potential biomarkers, especially due to their presence in Cerebrospinal Fluid and peripheral circulation. This study employed small RNA sequencing, protein binding ligand assays and machine learning in a cross-sectional cohort comprising 40 early stage PD patients and 40 well-matched controls. We identified a panel comprising 5 microRNAs (Let-7f-5p, miR-27a-3p, miR-125a-5p, miR-151a-3p and miR-423-5p), with 90% sensitivity, 80% specificity and 82% area under the curve (AUC) for the differentiation of the cohorts. Moreover, we combined miRNA profiles with hallmark-proteins of PD and identified a panel (miR-10b-5p, miR-22-3p, miR-151a-3p and α-synuclein) reaching 97% sensitivity, 90% specificity and 96% AUC. We performed a gene ontology analysis for the genes targeted by the microRNAs present in each panel and showed the likely association of the models with pathways involved in PD pathogenesis.

Indexed as

CSFearly stage PD diagnosisexosomal miRNAmachine learning

Identifiers

PMID29707120
PMCPMC5915128
OpenAlexW2796190709

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.