Evidence map›Paper›PMID 35448524›Full record

ArticleMetabolites2022

Independent and Interactive Effects of Genetic Background and Sex on Tissue Metabolomes of Adipose, Skeletal Muscle, and Liver in Mice.

Ann E Wells, William T Barrington, Stephen Dearth, Nikhil Milind, Gregory W Carter, David W Threadgill, Shawn R Campagna, Brynn H Voy

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. 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
0.2field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 3 institutions in 1 country.

Ann E WellsUT-ORNL Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN 37996, USA.ORCID 0000-0002-9720-0038
William T BarringtonDepartment of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX 77843, USA.
Stephen DearthDepartment of Chemistry, University of Tennessee-Knoxville, Knoxville, TN 37996, USA.
Nikhil MilindThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.ORCID 0000-0002-7975-247X
Gregory W CarterThe Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA.ORCID 0000-0002-2834-8186
David W ThreadgillDepartment of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, TX 77843, USA.
Shawn R CampagnaDepartment of Chemistry, University of Tennessee-Knoxville, Knoxville, TN 37996, USA.
Brynn H VoyUT-ORNL Graduate School of Genome Science and Technology, University of Tennessee-Knoxville, Knoxville, TN 37996, USA.ORCID 0000-0003-1923-9110
Jackson Laboratory · USUniversity of Tennessee at Knoxville · USTexas A&M Health Science Center · US

Funding

Modeling heterogeneity for safe cancer prevention and detectionU01CA105417 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2004 to 2013
$6.7M
NIH HHS CA105417
6 · The paper itself

Abstract

Genetics play an important role in the development of metabolic diseases. However, the relative influence of genetic variation on metabolism is not well defined, particularly in tissues, where metabolic dysfunction that leads to disease occurs. We used inbred strains of laboratory mice to evaluate the impact of genetic variation on the metabolomes of tissues that play central roles in metabolic diseases. We chose a set of four common inbred strains that have different levels of susceptibility to obesity, insulin resistance, and other common metabolic disorders. At the ages used, and under standard husbandry conditions, these lines are not overtly diseased. Using global metabolomics profiling, we evaluated water-soluble metabolites in liver, skeletal muscle, and adipose from A/J, C57BL/6J, FVB/NJ, and NOD/ShiLtJ mice fed a standard mouse chow diet. We included both males and females to assess the relative influence of strain, sex, and strain-by-sex interactions on metabolomes. The mice were also phenotyped for systems level traits related to metabolism and energy expenditure. Strain explained more variation in the metabolite profile than did sex or its interaction with strain across each of the tissues, especially in liver. Purine and pyrimidine metabolism and pathways related to amino acid metabolism were identified as pathways that discriminated strains across all three tissues. Based on the results from ANOVA, sex and sex-by-strain interaction had modest influence on metabolomes relative to strain, suggesting that the tissue metabolome remains largely stable across sexes consuming the same diet. Our data indicate that genetic variation exerts a fundamental influence on tissue metabolism.

Indexed as

A/JC57BL/6JdietfemaleFVB/NJgeneticsLC/MSmalemetabolitemetabolomicsmiceNOD/ShiLtJsexsex-by-strainstandard chowstrain

Identifiers

PMID35448524
PMCPMC9031494
OpenAlexW4224277544

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.