Evidence map›Paper›PMID 21368773›Full record

ArticleGenes and immunity2011

Peripheral blood gene expression profiles in metabolic syndrome, coronary artery disease and type 2 diabetes.

B L Grayson, L Wang, T M Aune

Abstract read
In one paragraph

Article in Genes and immunity, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  20. Characteristics of the New Insulin-Resistant Zebrafish Model.Pharmaceuticals (Basel, Switzerland) · 2021
    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

3 authors at 1 institution in 1 country.

B L GraysonDepartment of Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
L Wang
T M Aune
Vanderbilt University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
MULTIDISCIPLINARY TRAINING IN MOLECULAR ENDOCRINOLOGYT32DK007563 · NIDDK · VANDERBILT UNIVERSITY · PI Richard M O'Brien · 1988 to 2026
$15.9M
Gene Expression and Diagnosis of Autoimmune DiseaseR42AI053984 · NIAID · ARTHROCHIP, LLC · PI AUNE, THOMAS M. · 2004 to 2010
$3.4M
The Vanderbilt Institute for Clinical and Translational Research (VICTR) TL1TL1RR024978 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$1.3M
Gene Expression and Diagnosis of DiabetesR42DK065388 · NIDDK · ARTHROCHIP, LLC · PI AUNE, THOMAS M. · 2005 to 2006
$917k
NCRR NIH HHS TL1 RR024978NIAID NIH HHS R42 AI053984NIDDK NIH HHS R42 DK065388NIDDK NIH HHS T32 DK007563NIDDK NIH HHS T32 DK07563NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM07347
6 · The paper itself

Abstract

To determine if individuals with metabolic disorders possess unique gene expression profiles, we compared transcript levels in peripheral blood from patients with coronary artery disease (CAD), type 2 diabetes (T2D) and their precursor state, metabolic syndrome to those of control (CTRL) subjects and subjects with rheumatoid arthritis (RA). The gene expression profile of each metabolic state was distinguishable from CTRLs and correlated with other metabolic states more than with RA. Of note, subjects in the metabolic cohorts overexpressed gene sets that participate in the innate immune response. Genes involved in activation of the pro-inflammatory transcription factor, NF-κB, were overexpressed in CAD whereas genes differentially expressed in T2D have key roles in T-cell activation and signaling. Reverse transcriptase PCR validation confirmed microarray results. Furthermore, several genes differentially expressed in human metabolic disorders have been previously shown to participate in inflammatory responses in murine models of obesity and T2D. Taken together, these data demonstrate that peripheral blood from individuals with metabolic disorders display overlapping and non-overlapping patterns of gene expression indicative of unique, underlying immune processes.

Indexed as

Gene Expression ProfilingArthritis, RheumatoidCluster AnalysisCoronary Artery DiseaseDiabetes Mellitus, Type 2Gene Expression RegulationGenetic Predisposition to DiseaseHumansMetabolic SyndromePolymorphism, Single NucleotideReproducibility of Results

Identifiers

PMID21368773
PMCPMC3137736
OpenAlexW2069254962

What OpenQuestion holds

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LicenceTDM
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.