Evidence map›Paper›PMID 26020762›Full record

ArticleThe Journal of clinical endocrinology and metabolism2015

Myocardial Fat Accumulation Is Independent of Measures of Insulin Sensitivity.

Ranganath Muniyappa, Radwa Noureldin, Ronald Ouwerkerk, Elizabeth Y Liu, Ritu Madan, Brent S Abel, Katherine Mullins, Mary F Walter, Monica C Skarulis, Ahmed M Gharib

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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, 21 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Ranganath MuniyappaDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Radwa NoureldinDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Ronald OuwerkerkDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Elizabeth Y LiuDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Ritu MadanDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Brent S AbelDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Katherine MullinsDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Mary F WalterDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Monica C SkarulisDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
Ahmed M GharibDiabetes, Endocrinology, and Obesity Branch (R.Mu., E.Y.L., R.Ma., B.S.A., K.M., M.F.W., M.C.S.) and Biomedical and Metabolic Imaging Branch (R.N., R.O., A.M.G.), National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.
National Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Advanced Non Invasive Vascular Imaging MethodsZIADK075083 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI GHARIB, AHMED · 2013 to 2025
$34.7M
Clinical Research and Assay SupportZICDK071006 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI WALTER, MARY · 2009 to 2025
$20.6M
Biobehavioral Studies of Obesity, Weight loss and RecidivismZIADK075007 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI MUNIYAPPA, RANGANATH · 2009 to 2025
$13.8M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundMyocardial steatosis, an independent predictor of diastolic dysfunction, is frequently present in type 2 diabetes mellitus. High free fatty acid flux, hyperglycemia, and hyperinsulinemia may play a role in myocardial steatosis. There are no prior studies examining the relationship between insulin sensitivity (antilipolytic and glucose disposal actions of insulin) and cardiac steatosis.

objectiveUsing a cross-sectional study design of individuals with and without metabolic syndrome (MetSyn), we examined the relationships between cardiac steatosis and the sensitivity of the antilipolytic and glucose disposal actions of insulin.

methodsPericardial fat (PF) volume, intramyocardial and hepatic fat (MF and HF) content, visceral fat (VF) and sc fat content were assessed by magnetic resonance imaging in 77 subjects (49 without MetSyn and 28 with MetSyn). In a subset of the larger cohort (n = 52), peripheral insulin sensitivity index (SI) and adipocyte insulin sensitivity (Adipo-SI) were determined from an insulin-modified frequently sampled iv glucose tolerance test. The Quantitative Insulin Sensitivity Check Index was used as a surrogate for hepatic insulin sensitivity.

resultsIndividuals with the MetSyn had significantly higher body mass index, total body fat, and MF, PF, HF, and VF content. HF and VF, but not MF, were negatively correlated with the Quantitative Insulin Sensitivity Check Index, Adipo-SI, and SI. Stepwise regression revealed that waist circumference and serum triglyceride levels independently predicted MF and PF, respectively. Adipo-SI and serum triglyceride levels independently predict HF.

conclusionMyocardial steatosis is unrelated to hepatic, adipocyte, or peripheral insulin sensitivity. Although it is frequently observed in insulin-resistant subjects, further studies are necessary to identify and delineate pathogenic mechanisms that differentially affect cardiac and hepatic steatosis.

Indexed as

AdiposityInsulin ResistanceAdipose TissueAdultAgedCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansLiverMaleMetabolic SyndromeMiddle AgedMyocardiumObesityPericardium

Identifiers

PMID26020762
PMCPMC4525006
OpenAlexW438894470

What OpenQuestion holds

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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.