Evidence map›Paper›PMID 23494580›Full record

ArticleLipids2013

Variability in associations of phosphatidylcholine molecular species with metabolic syndrome in Mexican-American families.

Hemant Kulkarni, Peter J Meikle, Manju Mamtani, Jacquelyn M Weir, Christopher K Barlow, Jeremy B Jowett, Claire Bellis, Thomas D Dyer, Matthew P Johnson, David L Rainwater and 5 more

Abstract read
In one paragraph

Article in Lipids, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Lipidomic signatures in Colombian adults with metabolic syndrome.Journal of diabetes and metabolic disorders · 2024
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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

15 authors at 2 institutions in 2 countries.

Hemant KulkarniDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78227, USA. hkulkarn@txbiomedgenetics.org
Peter J Meikle
Manju Mamtani
Jacquelyn M Weir
Christopher K Barlow
Jeremy B Jowett
Claire Bellis
Thomas D Dyer
Matthew P Johnson
David L Rainwater
Laura Almasy
Michael C Mahaney
Anthony G Comuzzie
John Blangero
Joanne E Curran
Texas Biomedical Research Institute · USBaker Heart and Diabetes Institute · AU

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI MAHANEY, MICHAEL CHARLES · 1991 to 2012
$27.6M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
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
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
Integrative Genomics of Vanin Gene Expression in Relation to CVD RiskR01HL093537 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ABRAHAM, LAWRENCE JOSEPH, BLANGERO, JOHN · 2010 to 2013
$2.0M
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
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR017515NCRR NIH HHS S10 RR029392NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R01 HL091035NHLBI NIH HHS R01 HL093537NIDDK NIH HHS R01 DK079169NIDDK NIH HHS R01 DK082610NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

Plasma lipidomic studies using high performance liquid chromatography and mass spectroscopy offer detailed insights into metabolic processes. Taking the example of the most abundant plasma lipid class (phosphatidylcholines) we used the rich phenotypic and lipidomic data from the ongoing San Antonio Family Heart Study of large extended Mexican-American families to assess the variability of association of the plasma phosphatidylcholine species with metabolic syndrome. Using robust statistical analytical methods, our study made two important observations. First, there was a wide variability in the association of phosphatidylcholine species with risk measures of metabolic syndrome. Phosphatidylcholine 40:7 was associated with a low risk while phosphatidylcholines 32:1 and 38:3 were associated with a high risk of metabolic syndrome. Second, all the odd chain phosphatidylcholines were associated with a reduced risk of metabolic syndrome implying that phosphatidylcholines derived from dairy products might be beneficial against metabolic syndrome. Our results demonstrate the value of lipid species-specific information provided by the upcoming array of lipidomic studies and open potential avenues for prevention and control of metabolic syndrome in high prevalence settings.

Indexed as

AdultChromatography, High Pressure LiquidFemaleHumansMaleMass SpectrometryMetabolic SyndromeMexican AmericansMiddle AgedPhosphatidylcholinesRisk FactorsUnited StatesPhosphatidylcholines

Identifiers

PMID23494580
PMCPMC3637399
OpenAlexW2008197681

What OpenQuestion holds

Textmetadata
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.