Evidence map›Paper›PMID 27146446›Full record

ArticleJournal of the American Heart Association2016

Adipose Tissue Depots and Their Cross-Sectional Associations With Circulating Biomarkers of Metabolic Regulation.

Jane J Lee, Kathryn A Britton, Alison Pedley, Joseph M Massaro, Elizabeth K Speliotes, Joanne M Murabito, Udo Hoffmann, Cheryl Ingram, John F Keaney, Ramachandran S Vasan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 42 citations in OpenAlex.

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  11. Observational
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  14. The Dynamic Platelet Transcriptome in Obesity and Weight Loss.Arteriosclerosis, thrombosis, and vascular biology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Fatty Acid-Binding Protein 4 in Cardiovascular and Metabolic Diseases.Journal of atherosclerosis and thrombosis · 2019
    Review
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

11 authors at 7 institutions in 1 country.

Jane J LeeNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Kathryn A BrittonNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA Harvard Medical School, Boston, MA.
Alison PedleyNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Joseph M MassaroDepartment of Biostatistics, Boston University, Boston, MA.
Elizabeth K SpeliotesDivision of Gastroenterology, Department of Medicine, University of Michigan, Ann Arbor, MI.
Joanne M MurabitoNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA.
Udo HoffmannDepartment of Radiology, Massachusetts General Hospital, Boston, MA.
Cheryl IngramDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA.
John F KeaneyDivision of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA.
Ramachandran S VasanNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA Sections of Cardiology and Preventive Medicine, Evans Department of Medicine, Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA Department of Epidemiology, Boston University School of Public Health, Boston, MA.
Caroline S FoxNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA Division of Endocrinology, Brigham and Women's Hospital, Boston, MA.
National Heart Lung and Blood Institute · USBrigham and Women's Hospital · USUniversity of Massachusetts Chan Medical School · USBoston University · USFramingham Heart Study · USMassachusetts General Hospital · USUniversity of Michigan–Ann Arbor · US

Funding

University of Michigan Center for Gastrointestinal ResearchP30DK034933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WILEY, JOHN W · 1986 to 2021
$22.5M
Clinical Research Training Program for Academic VascularK12HL083786 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CREAGER, MARK A · 2006 to 2011
$4.0M
Nox4 and Vascular HomeostasisR01HL098407 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KEANEY, JOHN FRANCIS · 2010 to 2017
$3.8M
Identification and functional impact of NAFLD associated genetic variantsR01DK106621 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2015 to 2019
$3.3M
Biomarkers of Metabolic and Vascular Risk in ObesityR01DK080739 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2008 to 2011
$2.1M
Analysis of Fatty Liver in the Framingham Heart Study CohortK23DK080145 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPELIOTES, ELIZABETH K · 2008 to 2012
$917k
NHLBI NIH HHS K12 HL083786NHLBI NIH HHS R01 HL098407NIDDK NIH HHS K23 DK080145NIDDK NIH HHS P30 DK034933NIDDK NIH HHS R01 DK080739NIDDK NIH HHS R01 DK106621
6 · The paper itself

Abstract

backgroundVisceral adipose tissue (VAT) and fatty liver differ in their associations with cardiovascular risk compared with subcutaneous adipose tissue (SAT). Several biomarkers have been linked to metabolic derangements and may contribute to the pathogenicity of fat depots. We examined the association between fat depots on multidetector computed tomography and metabolic regulatory biomarkers. METHODS AND

resultsParticipants from the Framingham Heart Study (n=1583, 47% women) underwent assessment of SAT, VAT, and liver attenuation. We measured circulating biomarkers secreted by adipose tissue or liver (adiponectin, leptin, leptin receptor, fatty acid binding protein 4, fetuin-A, and retinol binding protein 4). Using multivariable linear regression models, we examined relations of fat depots with biomarkers. Higher levels of fat depots were positively associated with leptin and fatty acid binding protein 4 but negatively associated with adiponectin (all P<0.001). Associations with leptin receptor, fetuin-A, and retinol binding protein 4 varied according to fat depot type or sex. When comparing the associations of SAT and VAT with biomarkers, VAT was the stronger correlate of adiponectin (β=-0.28 [women]; β=-0.30 [men]; both P<0.001), whereas SAT was the stronger correlate of leptin (β=0.62 [women]; β=0.49 [men]; both P<0.001; P<0.001 for comparing VAT versus SAT). Although fetuin-A and retinol binding protein 4 are secreted by the liver in addition to adipose tissue, associations of liver attenuation with these biomarkers was not stronger than that of SAT or VAT.

conclusionsSAT, VAT, and liver attenuation are associated with metabolic regulatory biomarkers with differences in the associations by fat depot type and sex. These findings support the possibility of biological differences between fat depots.

Indexed as

AdiponectinAdipose TissueAdultAlanine Transaminasealpha-2-HS-GlycoproteinAspartate AminotransferasesBiomarkersCardiovascular DiseasesCohort StudiesFatty Acid-Binding ProteinsFemaleHumansIntra-Abdominal FatLeptinLinear ModelsLiverAdiponectinADIPOQ protein, humanAHSG protein, humanAlanine Transaminasealpha-2-HS-GlycoproteinAspartate AminotransferasesBiomarkersFABP4 protein, humanFatty Acid-Binding ProteinsLEPR protein, humanLeptinRBP4 protein, humanReceptors, LeptinRetinol-Binding Proteins, Plasmaadipokinesadipose tissuebiomarkersepidemiologyobesity

Identifiers

PMID27146446
PMCPMC4889173
OpenAlexW2346812553

What OpenQuestion holds

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LicenceCC BY-NC
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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.