Evidence map›Paper›PMID 23895045›Full record

ArticleGenome biology2013

A blood based 12-miRNA signature of Alzheimer disease patients.

Petra Leidinger, Christina Backes, Stephanie Deutscher, Katja Schmitt, Sabine C Mueller, Karen Frese, Jan Haas, Klemens Ruprecht, Friedemann Paul, Cord Stähler and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 273 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
273citing papers in PubMed, 10 pooled it
17.8field-weighted citation impact, top 1% 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

273 citing papers in PubMed, 10 syntheses or guidelines pooled it, 505 citations in OpenAlex.

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  6. The cellular model for Alzheimer's disease research: PC12 cells.Frontiers in molecular neuroscience · 2022
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  13. Gm26550 Modulates Learning and Memory by Increasing IGF1 mRNA Expression and Stability in Nrf2Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. Is there a link between multiple sclerosis and Alzheimer disease? A critical note.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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213 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 2 countries.

Petra Leidinger
Christina Backes
Stephanie Deutscher
Katja Schmitt
Sabine C Mueller
Karen Frese
Jan Haas
Klemens Ruprecht
Friedemann Paul
Cord Stähler
Christoph J G Lang
Benjamin Meder
Tamas Bartfai
Eckart Meese
Andreas Keller
Saarland University · DEHeidelberg University · DECharité - Universitätsmedizin Berlin · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEScripps Research Institute · USSiemens Healthcare (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer disease (AD) is the most common form of dementia but the identification of reliable, early and non-invasive biomarkers remains a major challenge. We present a novel miRNA-based signature for detecting AD from blood samples.

resultsWe apply next-generation sequencing to miRNAs from blood samples of 48 AD patients and 22 unaffected controls, yielding a total of 140 unique mature miRNAs with significantly changed expression levels. Of these, 82 have higher and 58 have lower abundance in AD patient samples. We selected a panel of 12 miRNAs for an RT-qPCR analysis on a larger cohort of 202 samples, comprising not only AD patients and healthy controls but also patients with other CNS illnesses. These included mild cognitive impairment, which is assumed to represent a transitional period before the development of AD, as well as multiple sclerosis, Parkinson disease, major depression, bipolar disorder and schizophrenia. miRNA target enrichment analysis of the selected 12 miRNAs indicates an involvement of miRNAs in nervous system development, neuron projection, neuron projection development and neuron projection morphogenesis. Using this 12-miRNA signature, we differentiate between AD and controls with an accuracy of 93%, a specificity of 95% and a sensitivity of 92%. The differentiation of AD from other neurological diseases is possible with accuracies between 74% and 78%. The differentiation of the other CNS disorders from controls yields even higher accuracies.

conclusionsThe data indicate that deregulated miRNAs in blood might be used as biomarkers in the diagnosis of AD or other neurological diseases.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overAlzheimer DiseaseBiomarkersBrainCase-Control StudiesGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionReproducibility of ResultsBiomarkersMicroRNAs

Identifiers

PMID23895045
PMCPMC4053778
OpenAlexW2122866775

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.