Evidence map›Paper›PMID 32737762›Full record

ArticleMolecular neurobiology2020

MicroRNA Expression Signature in Mild Cognitive Impairment Due to Alzheimer's Disease.

Bruna De Felice, Concetta Montanino, Mariano Oliva, Simona Bonavita, Valeria Di Onofrio, Cinzia Coppola

Open access · hybridAbstract read
In one paragraph

Article in Molecular neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Plasma microRNA Profiling in Type 2 Diabetes Mellitus: A Pilot Study.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Omics-based biomarkers discovery for Alzheimer's disease.Cellular and molecular life sciences : CMLS · 2022
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Analysis of Serum miRNAs in Alzheimer's Disease.American journal of Alzheimer's disease and other dementias
    Article
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

6 authors at 2 institutions in 1 country.

Bruna De FeliceDepartment of Environmental, Biological and Pharmaceutical Sciences and Technologies (DISTABIF), University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100, Caserta, Italy. bruna.defelice@unicampania.it.ORCID https://orcid.org/0000-0002-4349-1917
Concetta MontaninoDepartment of Environmental, Biological and Pharmaceutical Sciences and Technologies (DISTABIF), University of Campania "Luigi Vanvitelli", Via Vivaldi 43, 81100, Caserta, Italy.
Mariano OlivaDepartment of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy.
Simona BonavitaDepartment of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy.
Valeria Di OnofrioDepartment of Sciences and Technologies, University of Naples "Parthenope", Naples, Italy.
Cinzia CoppolaDepartment of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITParthenope University of Naples · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild cognitive impairment (MCI) defines an intermediate state between normal ageing and dementia, including Alzheimer's disease (AD). Identification of MCI subjects who will progress to AD (MCI-AD) is today of crucial importance, especially in light of the possible development of new pathogenic therapies. Several evidences suggest that miRNAs could play relevant roles in the biogenesis of AD, and the links between selected miRNAs and specific pathogenic aspects have been partly explored. In this study, we analysed the composition of microRNA transcriptome in blood, serum and cerebrospinal fluid samples from MCI-AD subjects, from an enriched small RNA library. Real-time qPCR from MCI-AD and AD patients and normal controls was performed to profile miRNA expression. In particular, four microRNAs, hsa-mir-5588-5p, hsa-mir-3658, hsa-mir-567 and hsa-mir-3908, among all selected microRNAs, are dysregulated. Hsa-mir-567 was found to be differentially expressed in cerebrospinal fluid samples, blood and serum from MCI-AD patients, showing the highest fold change and statistical significance. Target prediction analysis have been performed to evaluate mRNAs whose expression was controlled by miRNAs found to be dysregulated here, showing that hsa-mir-567 target genes are functionally active in neuronal cells. We propose that miRNA profiles found in samples from MCI-AD patients might be relevant for a better understanding of AD-related cognitive decline and could lead to set up suitable and potential biomarkers for MCI-AD progression to AD.

Indexed as

Gene Expression ProfilingGene Expression RegulationAgedAged, 80 and overAlzheimer DiseaseCase-Control StudiesCognitive DysfunctionFemaleGene OntologyGene Regulatory NetworksHumansLeukocytesMaleMicroRNAsMiddle AgedProtein Interaction MapsMicroRNAsAlzheimer’s disease (AD)Hsa-mir-567microRNAsMild cognitive impairment (MCI)

Identifiers

PMID32737762
PMCPMC7515963
OpenAlexW3046545019

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.