Evidence map›Paper›PMID 35141392›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2022

Plasma microRNA vary in association with the progression of Alzheimer's disease.

Diane Guévremont, Helen Tsui, Robert Knight, Chris J Fowler, Colin L Masters, Ralph N Martins, Wickliffe C Abraham, Warren P Tate, Nicholas J Cutfield, Joanna M Williams

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
3.4field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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.

Diane GuévremontDepartment of Anatomy University of Otago Dunedin New Zealand.
Helen TsuiBrain Health Research Centre University of Otago Dunedin New Zealand.
Robert KnightBrain Health Research Centre University of Otago Dunedin New Zealand.
Chris J FowlerThe Florey Institute, The University of Melbourne, Parkville, Victoria, Australia. MD The Florey Institute The University of Melbourne Parkville Victoria Australia.
Colin L MastersThe Florey Institute, The University of Melbourne, Parkville, Victoria, Australia. MD The Florey Institute The University of Melbourne Parkville Victoria Australia.
Ralph N MartinsAustralian Imaging Biomarkers and Lifestyle (AIBL) Research Group Australia.
Wickliffe C AbrahamBrain Health Research Centre University of Otago Dunedin New Zealand.
Warren P TateBrain Health Research Centre University of Otago Dunedin New Zealand.
Nicholas J CutfieldBrain Health Research Centre University of Otago Dunedin New Zealand.
Joanna M WilliamsDepartment of Anatomy University of Otago Dunedin New Zealand.ORCID https://orcid.org/0000-0003-3936-2220
Brain Research New Zealand · NZThe University of Melbourne · AUAustralia Bioinformatics Resource · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly intervention in Alzheimer's disease (AD) requires the development of an easily administered test that is able to identify those at risk. Focusing on microRNA robustly detected in plasma and standardizing the analysis strategy, we sought to identify disease-stage specific biomarkers.

methodsUsing TaqMan microfluidics arrays and a statistical consensus approach, we assessed plasma levels of 185 neurodegeneration-related microRNA, in cohorts of cognitively normal amyloid β-positive (CN-Aβ+), mild cognitive impairment (MCI), and Alzheimer's disease (AD) participants, relative to their respective controls.

resultsDistinct disease stage microRNA biomarkers were identified, shown to predict membership of the groups (area under the curve [AUC] >0.8) and were altered dynamically with AD progression in a longitudinal study. Bioinformatics demonstrated that these microRNA target known AD-related pathways, such as the Phosphoinositide 3-kinase (PI3K-Akt) signalling pathway. Furthermore, a significant correlation was found between miR-27a-3p, miR-27b-3p, and miR-324-5p and amyloid beta load. DISCUSSION: Our results show that microRNA signatures alter throughout the progression of AD, reflect the underlying disease pathology, and may prove to be useful diagnostic markers.

Indexed as

Alzheimer's diseasebiomarkerdisease progressionearly diagnosticmicroRNAplasma

Identifiers

PMID35141392
PMCPMC8817674
OpenAlexW4210452075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.