Evidence map›Paper›PMID 27911315›Full record

ArticleJournal of Alzheimer's disease : JAD2017

Decreased Expression of hsa-miR-4274 in Cerebrospinal Fluid of Normal Pressure Hydrocephalus Mimics with Parkinsonian Syndromes.

Ivana Jurjević, Masakazu Miyajima, Ikuko Ogino, Chihiro Akiba, Madoka Nakajima, Akihide Kondo, Mika Kikkawa, Mitsuyasu Kanai, Nobutaka Hattori, Hajime Arai

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Genetic Risk Factors in Normal Pressure Hydrocephalus: What We Know and What Is Next.Movement disorders : official journal of the Movement Disorder Society · 2025
    Pooled it
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  10. Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson's Disease.International journal of molecular sciences · 2020
    Review
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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

10 authors at 3 institutions in 2 countries.

Ivana JurjevićDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Masakazu MiyajimaDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Ikuko OginoDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Chihiro AkibaDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Madoka NakajimaDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Akihide KondoDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Mika KikkawaDivision of Proteomics and Bio Molecular Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Mitsuyasu KanaiDepartment of Neurology, Takasaki General Medical Center, Gunma, Japan.
Nobutaka HattoriDepartment of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hajime AraiDepartment of Neurosurgery, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Juntendo University · JPNational Hospital Organization Takasaki Medical Center · JPUniversity of Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients presenting with the classical idiopathic normal pressure hydrocephalus (iNPH) triad often show additional parkinsonian spectrum signs. Accurate differential diagnosis strongly influences the long-term outcome of cerebrospinal fluid (CSF) shunting.

objectiveThe aim of this study was to find potential CSF microRNA (miRNA) biomarkers for NPH mimics with parkinsonian syndromes that can reliably distinguish them from iNPH patients.

methodsTwo cohorts of 81 patients (cohort 1, n = 55; cohort 2, n = 26) with possible iNPH who were treated in two centers between January 2011 and May 2014 were studied. In both cohorts, CSF samples were obtained from patients clinically diagnosed with iNPH (n = 21 and n = 10, respectively), possible iNPH with parkinsonian spectrum (PS) (n = 18, n = 10, respectively), possible iNPH with Alzheimer's disease (AD) (n = 16), and non-affected elderly individuals (NC) (n = 6). A three-step qRT-PCR analysis of the CSF samples was performed to detect miRNAs that were differentially expressed in the groups.

resultsThe expression of hsa-miR-4274 in CSF was decreased in both cohorts of PS group patients (cohort 1: p < 0.0001, cohort 2: p < 0.0001), and was able to distinguish PS from iNPH with high accuracy (area under the curve = 0.908). The CSF concentration of hsa-miR-4274 also correlated with the specific binding ratio of ioflupane (123I) dopamine transporter scan (r = -0.494, p = 0.044). By contrast, the level of hsa-miR-4274 was significantly increased in the PS group after CSF diversion.

conclusionLevels of CSF hsa-miR-4274 can differentiate PS from patients with iNPH, AD, and NC. This may be clinically useful for diagnostic purposes and predicting shunt treatment responses.

Indexed as

AgedAged, 80 and overalpha-SynucleinAmyloid beta-PeptidesAmyloid beta-Protein PrecursorCohort StudiesFemaleGene Expression RegulationHumansHydrocephalus, Normal PressureMaleMicroRNAsParkinsonian DisordersPeptide FragmentsRNA, Messengeralpha-SynucleinAmyloid beta-Peptidesamyloid beta-protein (1-42)Amyloid beta-Protein PrecursorMicroRNAsPeptide FragmentsRNA, MessengerAlzheimer’s diseasecerebrospinal fluididiopathic normal pressure hydrocephalusmicroRNAsparkinsonian syndrome

Identifiers

PMID27911315
PMCPMC5240577
OpenAlexW2559253816

What OpenQuestion holds

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LicenceCC BY-NC
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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.