Evidence map›Paper›PMID 38276304›Full record

ArticleMetabolites2024

Biomarkers of Metabolic Adaptation to High Dietary Fats in a Mouse Model of Obesity Resistance.

Fadia Milhem, Leah M Hamilton, Emily Skates, Mickey Wilson, Suzanne D Johanningsmeier, Slavko Komarnytsky

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 3 institutions in 2 countries.

Fadia MilhemPlants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA.ORCID 0000-0002-5525-9285
Leah M HamiltonDepartment of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, 400 Dan Allen Drive, Raleigh, NC 27695, USA.
Emily SkatesPlants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA.
Mickey WilsonPlants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA.
Suzanne D JohanningsmeierUnited States Department of Agriculture-Agricultural Research Service, Southeast Area, Food Science and Market Quality & Handling Research Unit, North Carolina State University, 322 Schaub Hall, Box 7624, Raleigh, NC 27695, USA.
Slavko KomarnytskyPlants for Human Health Institute, North Carolina State University, 600 Laureate Way, Kannapolis, NC 28081, USA.ORCID 0000-0003-4665-4993
North Carolina State University · USAgricultural Research Service · USVirginia State University · US

Funding

United States Department of Agriculture 1023927
6 · The paper itself

Abstract

Obesity-resistant (non-responder, NR) phenotypes that exhibit reduced susceptibility to developing obesity despite being exposed to high dietary fat are crucial in exploring the metabolic responses that protect against obesity. Although several efforts have been made to study them in mice and humans, the individual protective mechanisms are poorly understood. In this exploratory study, we used a polygenic C57BL/6J mouse model of diet-induced obesity to show that NR mice developed healthier fat/lean body mass ratios (0.43 ± 0.05) versus the obesity-prone (super-responder, SR) phenotypes (0.69 ± 0.07,

Indexed as

body compositiondietary fatsglucose tolerancemetabolic inflexibilitymetabolic ratemicrobiomeskeletal muscle remodeling

Identifiers

PMID38276304
PMCPMC10819356
OpenAlexW4391097890

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.