Evidence map›Paper›PMID 24550773›Full record

ArticleFrontiers in molecular neuroscience2014

Increased microRNA-34c abundance in Alzheimer's disease circulating blood plasma.

Shephali Bhatnagar, Howard Chertkow, Hyman M Schipper, Zongfei Yuan, Vikranth Shetty, Samantha Jenkins, Timothy Jones, Eugenia Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 8 pooled it
5.7field-weighted citation impact, top 3% 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

83 citing papers in PubMed, 8 syntheses or guidelines pooled it, 147 citations in OpenAlex.

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  14. PeerJ · 2025
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  17. Epigenetics in Alzheimer's Disease: A Critical Overview.International journal of molecular sciences · 2024
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23 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

8 authors at 2 institutions in 2 countries.

Shephali BhatnagarAdvanced Genomic Technology, LLC Louisville, KY, USA.
Howard ChertkowDepartment of Neurology and Neurosurgery, McGill University Montreal, QC, Canada ; Memory Clinic, Department of Medicine, Jewish General Hospital Montreal, QC, Canada ; Bloomfield Centre for Research in Aging, Lady Davis Institute Montreal, QC, Canada ; Division of Geriatric Medicine and Department of Clinical Neurosciences, Jewish General Hospital Montreal, QC, Canada.
Hyman M SchipperDepartment of Neurology and Neurosurgery, McGill University Montreal, QC, Canada ; Bloomfield Centre for Research in Aging, Lady Davis Institute Montreal, QC, Canada ; Division of Geriatric Medicine and Department of Clinical Neurosciences, Jewish General Hospital Montreal, QC, Canada.
Zongfei YuanAdvanced Genomic Technology, LLC Louisville, KY, USA.
Vikranth ShettyAdvanced Genomic Technology, LLC Louisville, KY, USA.
Samantha JenkinsAdvanced Genomic Technology, LLC Louisville, KY, USA.
Timothy JonesAdvanced Genomic Technology, LLC Louisville, KY, USA.
Eugenia WangAdvanced Genomic Technology, LLC Louisville, KY, USA.
Advanced Genomic Technology (United States) · USMcGill University · CA

Funding

Generating Blood-based Diagnosis for Alzheimer DiseaseR44AG035410 · NIA · ADVANCED GENOMIC TECHNOLOGY, LLC · PI WANG, EUGENIA · 2010 to 2012
$1.8M
NIA NIH HHS R44 AG035410
6 · The paper itself

Abstract

Circulating microRNAs, present either in the cellular component, peripheral blood mononuclear cells (PBMC), or in cell-free plasma, have emerged as biomarkers for age-dependent systemic, disease-associated changes in many organs. Previously, we have shown that microRNA (miR)-34a is increased in circulating PBMC of Alzheimer's disease (AD) patients. In the present study, we show that this microRNA's sister, miR-34c, exhibits even greater increase in both cellular and plasma components of AD circulating blood samples, compared to normal age-matched controls. Statistical analysis shows the accuracy of levels of miR-34c assayed by receiver operating characteristic (ROC) analysis: the area under the curve is 0.99 (p < 0.0001) and the 95% confidence level extends from 0.97 to 1. Pearson correlation between miR-34c levels and mild and moderate AD, as defined by the mini-mental state examination (MMSE), shows an r-value of -0.7, suggesting a relatively strong inverse relationship between the two parameters. These data show that plasma levels of microRNA 34c are much more prominent in AD than those of its sister, miR-34a, or than its own level in PBMC. Transfection studies show that miR-34c, as does its sister miR-34a, represses the expression of several selected genes involved in cell survival and oxidative defense pathways, such as Bcl2, SIRT1, and others, in cultured cells. Taken together, our results indicate that increased levels of miR-34c in both PBMC and plasma may reflect changes in circulating blood samples in AD patients, compared to age-matched normal controls.

Indexed as

miR-34amiR-34cperipheral blood mononuclear cells (PBMC)plasma microRNA

Identifiers

PMID24550773
PMCPMC3912349
OpenAlexW2002636093

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.