Evidence map›Paper›PMID 35945490›Full record

ArticleGenes & nutrition2022

Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross.

Phoebe Yam, Melissa VerHague, Jody Albright, Erik Gertz, Fernando Pardo-Manuel de Villena, Brian J Bennett

Open access · goldAbstract read
In one paragraph

Article in Genes & nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Precision Nutrition: Recent Advances in Obesity.Physiology (Bethesda, Md.) · 2023
    Review
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

6 authors at 4 institutions in 1 country.

Phoebe YamIntegrative Genetics and Genomics Graduate Group, University of California Davis, Davis, CA, USA.
Melissa VerHagueNutrition Research Institute, University of North Carolina Kannapolis, Kannapolis, NC, USA.
Jody AlbrightNutrition Research Institute, University of North Carolina Kannapolis, Kannapolis, NC, USA.
Erik GertzAgricultural Research Service, US Department of Agriculture, Western Human Nutrition Research Center, Davis, CA, USA.
Fernando Pardo-Manuel de VillenaDepartment of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Brian J BennettIntegrative Genetics and Genomics Graduate Group, University of California Davis, Davis, CA, USA. brian.bennett@usda.gov.
David H. Murdock Research Institute · USWestern Human Nutrition Research Center · USUniversity of California, Davis · USUniversity of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Venkata Saroja Voruganti · 1999 to 2026
$31.6M
Systems Genetic Studies of TMAO regulation and AtherosclerosisR01HL128572 · NHLBI · U.S. AGRICULTURAL RESEARCH SERVICE · PI BENNETT, BRIAN JOSEPH · 2015 to 2019
$1.4M
Agricultural Research Service 2032-51000-022-00DNIH HHS 5R01HL128572NIH HHS P30DK056350
6 · The paper itself

Abstract

backgroundObesity is a serious disease with a complex etiology characterized by overaccumulation of adiposity resulting in detrimental health outcomes. Given the liver's critical role in the biological processes that attenuate adiposity accumulation, elucidating the influence of genetics and dietary patterns on hepatic gene expression is fundamental for improving methods of obesity prevention and treatment. To determine how genetics and diet impact obesity development, mice from 22 strains of the genetically diverse recombinant inbred Collaborative Cross (CC) mouse panel were challenged to either a high-protein or high-fat high-sucrose diet, followed by extensive phenotyping and analysis of hepatic gene expression.

resultsOver 1000 genes differentially expressed by perturbed dietary macronutrient composition were enriched for biological processes related to metabolic pathways. Additionally, over 9000 genes were differentially expressed by strain and enriched for biological process involved in cell adhesion and signaling. Weighted gene co-expression network analysis identified multiple gene clusters (modules) associated with body fat % whose average expression levels were influenced by both dietary macronutrient composition and genetics. Each module was enriched for distinct types of biological functions.

conclusionsGenetic background affected hepatic gene expression in the CC overall, but diet macronutrient differences also altered expression of a specific subset of genes. Changes in macronutrient composition altered gene expression related to metabolic processes, while genetic background heavily influenced a broad range of cellular functions and processes irrespective of adiposity. Understanding the individual role of macronutrient composition, genetics, and their interaction is critical to developing therapeutic strategies and policy recommendations for precision nutrition.

Indexed as

Collaborative CrossDietGeneticsHepatic gene expressionNutrigenomicsObesityWGCNA

Identifiers

PMID35945490
PMCPMC9364539
OpenAlexW4291676057

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.