Evidence map›Paper›PMID 24086336›Full record

ArticlePloS one2013

Plasma lipid profiling shows similar associations with prediabetes and type 2 diabetes.

Peter J Meikle, Gerard Wong, Christopher K Barlow, Jacquelyn M Weir, Melissa A Greeve, Gemma L MacIntosh, Laura Almasy, Anthony G Comuzzie, Michael C Mahaney, Adam Kowalczyk and 8 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 3 pooled it
11.4field-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

171 citing papers in PubMed, 3 syntheses or guidelines pooled it, 305 citations in OpenAlex.

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111 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

18 authors at 3 institutions in 2 countries.

Peter J MeikleBaker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Gerard Wong
Christopher K Barlow
Jacquelyn M Weir
Melissa A Greeve
Gemma L MacIntosh
Laura Almasy
Anthony G Comuzzie
Michael C Mahaney
Adam Kowalczyk
Izhac Haviv
Narelle Grantham
Dianna J Magliano
Jeremy B M Jowett
Paul Zimmet
Joanne E Curran
John Blangero
Jonathan Shaw
Baker Heart and Diabetes Institute · AUTexas Biomedical Research Institute · USUniversity of Melbourne · AU

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI MAHANEY, MICHAEL CHARLES · 1991 to 2012
$27.6M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
Identification of Genes Influencing Total Antioxidant StatusR01HL091035 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2008 to 2012
$3.1M
Identification of Regulatory Variants in Novel Candidate Genes for DiabetesR01DK079169 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI CURRAN, JOANNE E. · 2007 to 2011
$1.7M
Expression-Based Empirical Candidate Genes Influencing Body Mass IndexR01DK082610 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI CURRAN, JOANNE E. · 2009 to 2010
$1.7M
Metabolomic studies into the pathogenesis and risk assessment of type 2 diabetesR01DK088972 · NIDDK · BAKER HEART RESEARCH INSTITUTE · PI BLANGERO, JOHN, HAVIV, IZHAK · 2010 to 2012
$905k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
Medical Research CouncilNCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR017515NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R01 HL091035NIDDK NIH HHS 1R01DK088972-01NIDDK NIH HHS R01 DK079169NIDDK NIH HHS R01 DK082610NIDDK NIH HHS R01 DK088972
6 · The paper itself

Abstract

The relationship between lipid metabolism with prediabetes (impaired fasting glucose and impaired glucose tolerance) and type 2 diabetes mellitus is poorly defined. We hypothesized that a lipidomic analysis of plasma lipids might improve the understanding of this relationship. We performed lipidomic analysis measuring 259 individual lipid species, including sphingolipids, phospholipids, glycerolipids and cholesterol esters, on fasting plasma from 117 type 2 diabetes, 64 prediabetes and 170 normal glucose tolerant participants in the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) then validated our findings on 1076 individuals from the San Antonio Family Heart Study (SAFHS). Logistic regression analysis of identified associations with type 2 diabetes (135 lipids) and prediabetes (134 lipids), after adjusting for multiple covariates. In addition to the expected associations with diacylglycerol, triacylglycerol and cholesterol esters, type 2 diabetes and prediabetes were positively associated with ceramide, and its precursor dihydroceramide, along with phosphatidylethanolamine, phosphatidylglycerol and phosphatidylinositol. Significant negative associations were observed with the ether-linked phospholipids alkylphosphatidylcholine and alkenylphosphatidylcholine. Most of the significant associations in the AusDiab cohort (90%) were subsequently validated in the SAFHS cohort. The aberration of the plasma lipidome associated with type 2 diabetes is clearly present in prediabetes, prior to the onset of type 2 diabetes. Lipid classes and species associated with type 2 diabetes provide support for a number of existing paradigms of dyslipidemia and suggest new avenues of investigation.

Indexed as

AgedBlood GlucoseCohort StudiesDiabetes Mellitus, Type 2FemaleHumansLipidsMaleMiddle AgedPrediabetic StateBlood GlucoseLipids

Identifiers

PMID24086336
PMCPMC3785490
OpenAlexW2069652505

What OpenQuestion holds

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LicenceCC BY
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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.