Evidence map›Paper›PMID 32074103›Full record

ArticlePloS one2020

Renal and renal sinus fat volumes as quantified by magnetic resonance imaging in subjects with prediabetes, diabetes, and normal glucose tolerance.

Mike Notohamiprodjo, Martin Goepfert, Susanne Will, Roberto Lorbeer, Fritz Schick, Wolfgang Rathmann, Petros Martirosian, Annette Peters, Katharina Müller-Peltzer, Andreas Helck and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 68 citations in OpenAlex.

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  18. Associations of renal sinus fat with blood pressure and ectopic fat in a diverse cohort of adults.International journal of cardiology. Cardiovascular risk and prevention · 2023
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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

12 authors at 5 institutions in 1 country.

Mike NotohamiprodjoDepartment for Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
Martin GoepfertDepartment of Radiology, University Hospitals Munich, Munich, Germany.ORCID 0000-0003-4161-7501
Susanne WillDepartment for Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
Roberto LorbeerDepartment of Radiology, University Hospitals Munich, Munich, Germany.
Fritz SchickDepartment for Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
Wolfgang RathmannInstitute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany.
Petros MartirosianDepartment for Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Katharina Müller-PeltzerDepartment of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany.
Andreas HelckDepartment of Radiology, University Hospitals Munich, Munich, Germany.
Susanne RospleszczInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Freiburg, Germany.
München Klinik · DEHelmholtz Zentrum München · DEUniversity of Freiburg · DEIhre-Radiologen · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe hypothesize that MRI-based renal compartment volumes, particularly renal sinus fat as locally and potentially independently acting perivascular fat tissue, increase with glucose intolerance. We therefore analyze the distribution of renal volumes in individuals with normal glucose levels and prediabetic and diabetic individuals and investigate potential associations with other typical cardiometabolic biomarkers. MATERIAL AND

methodsThe sample comprised N = 366 participants who were either normoglycemic (N = 230), had prediabetes (N = 87) or diabetes (N = 49), as determined by Oral Glucose Tolerance Test. Other covariates were obtained by standardized measurements and interviews. Whole-body MR measurements were performed on a 3 Tesla scanner. For assessment of the kidneys, a coronal T1w dual-echo Dixon and a coronal T2w single shot fast spin echo sequence were employed. Stepwise semi-automated segmentation of the kidneys on the Dixon-sequences was based on thresholding and geometric assumptions generating volumes for the kidneys and sinus fat. Inter- and intra-reader variability were determined on a subset of 40 subjects. Associations between glycemic status and renal volumes were evaluated by linear regression models, adjusted for other potential confounding variables. Furthermore, the association of renal volumes with visceral adipose tissue was assessed by linear regression models and Pearson's correlation coefficient.

resultsRenal volume, renal sinus volume and renal sinus fat increased gradually from normoglycemic controls to individuals with prediabetes to individuals with diabetes (renal volume: 280.3±64.7 ml vs 303.7±67.4 ml vs 320.6±77.7ml, respectively, p < 0.001). After adjustment for age and sex, prediabetes and diabetes were significantly associated to increased renal volume, sinus volume (e.g. βPrediabetes = 10.1, 95% CI: [6.5, 13.7]; p<0.01, βDiabetes = 11.86, 95% CI: [7.2, 16.5]; p<0.01) and sinus fat (e.g. βPrediabetes = 7.13, 95% CI: [4.5, 9.8]; p<0.001, βDiabetes = 7.34, 95% CI: [4.0, 10.7]; p<0.001). Associations attenuated after adjustment for additional confounders were only significant for prediabetes and sinus volume (ß = 4.0 95% CI [0.4, 7.6]; p<0.05). Hypertension was significantly associated with increased sinus volume (β = 3.7, 95% CI: [0.4, 7.0; p<0.05]) and absolute sinus fat volume (β = 3.0, 95% CI: [0.7, 5.3]; p<0.05). GFR and all renal volumes were significantly associated as well as urine creatinine levels and renal sinus volume (β = 1.6, 95% CI: [0.1, 2.9]; p<0.05).

conclusionRenal volume and particularly renal sinus fat volume already increases significantly in prediabetic subjects and is significantly associated with VAT. This shows, that renal sinus fat is a perivascular adipose tissue, which early undergoes changes in the development of metabolic disease. Our findings underpin that renal sinus fat is a link between metabolic disease and associated chronic kidney disease, making it a potential imaging biomarker when assessing perivascular adipose tissue.

Indexed as

Adipose TissueAgedBlood GlucoseDiabetes Mellitus, Type 2FemaleHumansKidneyMagnetic Resonance ImagingMaleMiddle AgedPrediabetic StateBlood Glucose

Identifiers

PMID32074103
PMCPMC7029849
OpenAlexW3008043783

What OpenQuestion holds

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LicenceCC BY
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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.