Evidence map›Paper›PMID 32820201›Full record

ArticleScientific reports2020

C57BL/6J substrain differences in response to high-fat diet intervention.

Majken Storm Siersbæk, Nicholas Ditzel, Eva Kildall Hejbøl, Stine Marie Præstholm, Lasse Kruse Markussen, Fabio Avolio, Lingzi Li, Lasse Lehtonen, Axel Kornerup Hansen, Henrik Daa Schrøder and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

53 citing papers in PubMed, 91 citations in OpenAlex.

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  20. Aging reveals a sex-dependent susceptibility of sarcospan-deficient mice to cardiometabolic disease.American journal of physiology. Heart and circulatory physiology · 2024
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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

15 authors at 3 institutions in 1 country.

Majken Storm SiersbækFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Nicholas DitzelMolecular Endocrinology Lab (KMEB), Department of Molecular Endocrinology, Odense University Hospital & University of Southern Denmark, 5000, Odense C, Denmark.
Eva Kildall HejbølDepartment of Pathology, Odense University Hospital (OUH), 5000, Odense C, Denmark.
Stine Marie PræstholmFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Lasse Kruse MarkussenFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Fabio AvolioFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Lingzi LiFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Lasse LehtonenFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Axel Kornerup HansenDepartment of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1871, Frederiksberg C, Denmark.
Henrik Daa SchrøderDepartment of Pathology, Odense University Hospital (OUH), 5000, Odense C, Denmark.
Lukasz KrychMicrobiology and Fermentation, Department of Food Science (UCPH FOOD), University of Copenhagen, 1958, Frederiksberg C, Denmark.
Susanne MandrupFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark.
Louise LanghornBiomedical Laboratory, University of Southern Denmark, 5000, Odense C, Denmark.
Peter BollenBiomedical Laboratory, University of Southern Denmark, 5000, Odense C, Denmark.
Lars GrøntvedFunctional Genomics and Metabolism Research Unit, Department of Biochemistry and Molecular Biology, VILLUM Center for Bioanalytical Sciences, University of Southern Denmark, 5230, Odense M, Denmark. larsgr@bmb.sdu.dk.
University of Southern Denmark · DKOdense University Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

C57BL/6J-related mouse strains are widely used animal models for diet-induced obesity (DIO). Multiple vendors breed C57BL/6J-related substrains which may introduce genetic drift and environmental confounders such as microbiome differences. To address potential vendor/substrain specific effects, we compared DIO of C57BL/6J-related substrains from three different vendors: C57BL/6J (Charles Rivers), C57BL/6JBomTac (Taconic Bioscience) and C57BL/6JRj (Janvier). After local acclimatization, DIO was induced by either a high-fat diet (HFD, 60% energy from fat) or western diet (WD, 42% energy from fat supplemented with fructose in the drinking water). All three groups on HFD gained a similar amount of total body weight, yet the relative amount of fat percentage and mass of inguinal- and epididymal white adipose tissue (iWAT and eWAT) was lower in C57BL/6JBomTac compared to the two other C57BL/6J-releated substrains. In contrast to HFD, the three groups on WD responded differently in terms of body weight gain, where C57BL/6J was particularly prone to WD. This was associated with a relative higher amount of eWAT, iWAT, and liver triglycerides. Although the HFD and WD had significant impact on the microbiota, we did not observe any major differences between the three groups of mice. Together, these data demonstrate significant differences in HFD- and WD-induced adiposity in C57BL/6J-related substrains, which should be considered in the design of animal DIO studies.

Indexed as

Diet, High-FatAbsorptiometry, PhotonAnimalsBody WeightGlucoseInsulinLiverMiceMice, Inbred C57BLObesityOrgan SizeSpecies SpecificityTriglyceridesWeight GainGlucoseInsulinTriglycerides

Identifiers

PMID32820201
PMCPMC7441320
OpenAlexW3078013851

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.