Evidence map›Paper›PMID 24330693›Full record

ArticleClinical and translational science2013

Real-time RT-PCR Ct values for blood GAPDH correlate with measures of vascular endothelial function in humans.

Faisel Khan, Wen Ling Choong, Qingyou Du, Aleksandar Jovanovi'c

Abstract read
In one paragraph

Article in Clinical and translational science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Faisel KhanMedical Research Institute, Division of Cardiovascular and Diabetic Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom.
Wen Ling Choong
Qingyou Du
Aleksandar Jovanovi'c
University of Dundee · GB

Funding

British Heart Foundation
6 · The paper itself

Abstract

purposeTo date, there is a wide range of methods in use to assess endothelial function, each with its own advantages and limitations. Here, we tested hypothesis that real-time RT-PCR threshold value (Ct), which is reflective of mRNA level, for Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) from whole blood is indicative of endothelial function in humans. MATERIALS AND

methodsTo assess vascular function, we measured baseline skin perfusion, postocclusion reactive hyperemia (PORH), and brachial artery flow-mediated dilatation (FMD) and tested for a possible correlation between vascular responses and blood GAPDH real-time RT-PCR Ct value in 75 healthy volunteers.

resultsTests known to measure, at least in part, endothelial function such as baseline skin perfusion, the 2-minute recovery PORH, and FMD exhibited significant positive correlations with blood GAPDH Ct values. In contrast, there was no significant correlation between Ct values for blood GAPDH and peak PORH, an endothelium-independent parameter.

conclusionsBased on these findings, we report that GAPDH mRNA level in the blood correlates with vascular function in healthy subjects. This suggests that GAPDH mRNA level could be a potential biomarker of vascular endothelial function.

Indexed as

Real-Time Polymerase Chain ReactionVasodilationAgedBrachial ArteryEndothelium, VascularFemaleGenetic MarkersGlyceraldehyde-3-Phosphate DehydrogenasesHealthy VolunteersHumansMaleMiddle AgedPredictive Value of TestsRegional Blood FlowRNA, MessengerSkinGenetic MarkersGlyceraldehyde-3-Phosphate DehydrogenasesRNA, Messengerbiomarkerendothelial functionGAPDHvascular function

Identifiers

PMID24330693
PMCPMC5350972
OpenAlexW1828379848

What OpenQuestion holds

Textmetadata
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.