Evidence map›Paper›PMID 39640571›Full record

ArticleiScience2024

Combined effects of genetic background and diet on mouse metabolism and gene expression.

Jordan N Reed, Faten Hasan, Abhishek Karkar, Dhanush Banka, Jameson Hinkle, Preeti Shastri, Navya Srivastava, Steven C Scherping, Sarah E Newkirk, Heather A Ferris and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Jordan N ReedDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Faten HasanDepartment of Kinesiology, University of Virginia School of Education and Human Development, Charlottesville, VA 22903, USA.
Abhishek KarkarDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Dhanush BankaDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Jameson HinkleCenter for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Preeti ShastriDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Navya SrivastavaDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Steven C ScherpingDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Sarah E NewkirkDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Heather A FerrisDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Bijoy K KunduDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Sibylle KranzDepartment of Kinesiology, University of Virginia School of Education and Human Development, Charlottesville, VA 22903, USA.
Mete CivelekDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Susanna R KellerDepartment of Medicine-Division of Endocrinology and Metabolism, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.

Funding

NIH HHS S10 OD021672NIH HHS S10 OD025024
6 · The paper itself

Abstract

In humans, dietary patterns impact weight and metabolism differentially across individuals. To uncover genetic determinants for differential dietary effects, we subjected four genetically diverse mouse strains to humanized diets (American, Mediterranean, vegetarian, and vegan) with similar macronutrient composition, and performed body weight, metabolic parameter, and RNA-seq analysis. We observed pronounced diet- and strain-dependent effects on weight, and triglyceride and insulin levels. Differences in fat mass, adipose tissue, and skeletal muscle glucose uptake, and gene expression changes in most tissues were strain-dependent. In visceral adipose tissue, ∼400 genes responded to diet in a strain-dependent manner, many of them in metabolite transport and lipid metabolism pathways and several previously identified to modify diet effects in humans. Thus, genetic background profoundly impacts metabolism, though chosen dietary patterns modify the strong genetic effects. This study paves the way for future mechanistic investigations into strain-diet interactions in mice and translation to precision nutrition in humans.

Indexed as

DietGeneticsModel organismTranscriptomics

Identifiers

PMID39640571
PMCPMC11617257

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.