Evidence map›Paper›PMID 23798346›Full record

ArticleHypertension (Dallas, Tex. : 1979)2013

Plasma lipidomic profile signature of hypertension in Mexican American families: specific role of diacylglycerols.

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 Hypertension (Dallas, Tex. : 1979), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–field-weighted citation impact
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

56 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Blood L-cystine levels positively related to increased risk of hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Hemant KulkarniDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78245, 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

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
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
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
Ampakines in SchizophreniaR44MH059450 · NIMH · CORTEX PHARMACEUTICALS, INC. · PI JOHNSON, STEVEN A · 2001 to 2002
$770k
THERAPEUTIC POTENTIAL OF AMPAKINES IN SCHIZOPHRENIAR43MH059450 · NIMH · CORTEX PHARMACEUTICALS, INC. · PI JOHNSON, STEVEN A · 1999 to 1999
–
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 HL045522NIDDK NIH HHS R01 DK088972NIDDK NIH HHS R01DK088972-01NIMH NIH HHS R37MH059450NIMH NIH HHS R37 MH059490NIMH NIH HHS R44 MH059450
6 · The paper itself

Abstract

Both as a component of metabolic syndrome and as an independent entity, hypertension poses a continued challenge with regard to its diagnosis, pathogenesis, and treatment. Previous studies have documented connections between hypertension and indicators of lipid metabolism. Novel technologies, such as plasma lipidomic profiling, promise a better understanding of disorders in which there is a derangement of the lipid metabolism. However, association of plasma lipidomic profiles with hypertension in a high-risk population, such as Mexican Americans, has not been evaluated before. Using the rich data and sample resource from the ongoing San Antonio Family Heart Study, we conducted plasma lipidomic profiling by combining high-performance liquid chromatography with tandem mass spectroscopy to characterize 319 lipid species in 1192 individuals from 42 large and extended Mexican American families. Robust statistical analyses using polygenic regression models, liability threshold models, and bivariate trait analyses implemented in the SOLAR software were conducted after accounting for obesity, insulin resistance, and relative abundance of various lipoprotein fractions. Diacylglycerols, in general, and the DG 16:0/22:5 and DG 16:0/22:6 lipid species, in particular, were significantly associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP), as well as liability of incident hypertension measured during 7140.17 person-years of follow-up. Four lipid species, including the DG 16:0/22:5 and DG 16:0/22:6 species, showed significant genetic correlations with the liability of hypertension in bivariate trait analyses. Our results demonstrate the value of plasma lipidomic profiling in the context of hypertension and identify disturbance of diacylglycerol metabolism as an independent biomarker of hypertension.

Indexed as

Mexican AmericansAdultAgedChromatography, High Pressure LiquidCross-Sectional StudiesDiglyceridesFemaleHumansHypertensionInsulin ResistanceLipid MetabolismLipidsMaleMiddle AgedTandem Mass SpectrometryDiglyceridesLipidsblood pressurehypertensionlipidomicslipid speciesMexican Americans

Identifiers

PMID23798346
PMCPMC3789127

What OpenQuestion holds

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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.