Evidence map›Paper›PMID 32863171›Full record

ArticleJournal of clinical lipidology

Associations of GlycA and high-sensitivity C-reactive protein with measures of lipolysis in adults with obesity.

Jordan A Levine, Jung Min Han, Anna Wolska, Sierra R Wilson, Tushar P Patel, Alan T Remaley, Vipul Periwal, Jack A Yanovski, Andrew P Demidowich

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical lipidology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 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

9 authors at 3 institutions in 1 country.

Jordan A LevineSection on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.
Jung Min HanComputational Medicine Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA.
Anna WolskaLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.
Sierra R WilsonLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.
Tushar P PatelSection on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.
Alan T RemaleyLipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch, National Heart, Lung, and Blood Institute (NHLBI), NIH, Bethesda, MD, USA.
Vipul PeriwalComputational Medicine Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD, USA.
Jack A YanovskiSection on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.
Andrew P DemidowichSection on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA; Johns Hopkins Community Physicians at Howard County General Hospital, Johns Hopkins Medicine, Columbia, MD, USA; Department of Endocrinology, Diabetes and Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA. Electronic address: ademido1@jh.edu.
National Institutes of Health · USNational Heart Lung and Blood Institute · USNational Institute of Diabetes and Digestive and Kidney Diseases · US

Funding

Physiology, Psychology, and Genetics of ObesityZIAHD000641 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YANOVSKI, JACK A. · 2009 to 2025
$24.8M
Quantitative Estimation of Sensitivity of Lipolysis to InsulinZIADK013030 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI PERIWAL, VIPUL · 2009 to 2025
$2.0M
Intramural NIH HHS Z99 HD999999Intramural NIH HHS ZIA HD000641
6 · The paper itself

Abstract

backgroundObesity-associated inflammation promotes metabolic dysfunction. However, it is unclear how different inflammatory biomarkers predict dysregulation in specific tissues/organs, particularly adipose tissue.

objectiveThe aim of our study was to examine whether GlycA, a nuclear magnetic resonance-measured biomarker of inflammation, is a better predictor of insulin-suppressible lipolysis and other measures of metabolic dysfunction compared with high-sensitivity C-reactive protein (hsCRP) in human obesity.

methodsThis was a cross-sectional study of 58 nondiabetic adults with obesity (body mass index: 39.8 ± 7.0 kg/m

resultsGlycA was strongly correlated with hsCRP (r = +0.46; P < .001). GlycA and hsCRP were positively associated with l

conclusionsGlycA was associated with elevated lipolysis, independent of adiposity, in adults with obesity. Our findings suggest that GlycA and hsCRP have distinct inflammation-mediated metabolic effects, with GlycA having a greater association with adipose tissue dysfunction. Further studies are warranted to investigate the mechanisms underlying these associations.

Indexed as

BiomarkersBlood GlucoseCase-Control StudiesC-Reactive ProteinCross-Sectional StudiesFemaleGlycine HydroxymethyltransferaseGlycoproteinsHumansInflammationLipolysisMaleMiddle AgedObesityRandomized Controlled Trials as TopicBiomarkersBlood GlucoseC-Reactive ProteinGlycine HydroxymethyltransferaseGlycoproteinsAdipose tissueGlycAhsCRPInflammationInsulin resistanceLipolysis

Identifiers

PMID32863171
PMCPMC7642018
OpenAlexW3047241355

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.