Evidence map›Paper›PMID 25706122›Full record

ArticlePloS one2015

Lipidomic profiling of di- and tri-acylglycerol species in weight-controlled mice.

Brenee S King, Lizhi Lu, Miao Yu, Yu Jiang, Joseph Standard, Xiaoyu Su, Zhihui Zhao, Weiqun Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 47 citations in OpenAlex.

  1. Robust sparse Bayesian regression for longitudinal gene-environment interactions.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Gene-Environment Interaction: A Variable Selection Perspective.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  6. Article
  7. Article
  8. 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 2 countries.

Brenee S KingDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Lizhi LuInstitute of Animal Husbandry & Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
Miao YuDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Yu JiangDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Joseph StandardDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Xiaoyu SuDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Zhihui ZhaoInstitute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Weiqun WangDepartment of Human Nutrition, Kansas State University, Manhattan, KS 66506, United States of America.
Kansas State University · USShanghai Academy of Agricultural Sciences · CNZheJiang Academy of Agricultural Sciences · CN

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SUSAN J. BROWN · 2012 to 2026
$63.0M
UNDERSTANDING THE ROLE OF SMALL RNAS IN ARABIDOPSIS POLLEN DEVELOPMENTP20RR016475 · NCRR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ACKLEY, BRIAN DOUGLAS · 2001 to 2011
$38.1M
Mechanism of Cancer Prevention by Weight ControlR15CA167678 · NCI · KANSAS STATE UNIVERSITY · PI WANG, WEIQUN GEORGE · 2011 to 2011
$444k
NCI NIH HHS CA167678NCI NIH HHS R15 CA167678NCRR NIH HHS P20 RR016475NCRR NIH HHS RR16475NIGMS NIH HHS P20 GM103418NIGMS NIH HHS P20GM103418
6 · The paper itself

Abstract

Weight control by dietary calorie restriction (DCR) or exercise has been shown to prevent cancer in various models. However, the mechanisms as to how weight control is beneficial are not well understood. While previous reports have investigated the effects of weight control on total lipid levels or lipid composition within cellular membranes, there has been little work surrounding changes to individual lipids following weight control interventions. In this study, using a model of skin carcinogenesis centered on the tumor promotion stage, CD-1 mice were randomly assigned into 4 groups: ad libitum and sedentary (control), ad libitum with exercise (AL+Exe), exercise with pair feeding of a diet isocaloric with control (PF+Exe), and sedentary with 20% DCR compared to control. After ten weeks, body weight and body fat percentages significantly decreased in the PF+Exe and DCR groups but not AL+Exe when compared with sedentary controls. Murine skin and plasma samples were obtained for analysis. Lipidomics using electrospray ionization MS/MS was employed to profile triacylglycerol (TG) and diacylglycerol (DG) species. Both plasma and tissue TG species containing fatty acid chains with length 18:1 were significantly decreased following DCR when compared to sedentary control animals. In regards to DG, the most significant changes occurred in the plasma. DG species containing fatty acids with lengths 16:1 or 18:1 were significantly decreased in PF+Exe and DCR groups when compared to sedentary controls. Due to the significant role of TG in energy storage and DG in cellular signaling, our findings of the effects of weight control on individual TG and DG species in plasma and skin tissue following exposure to a tumor promoter, may provide insight into the mechanism of weight control on cancer prevention.

Indexed as

AnimalsBody WeightCaloric RestrictionDiglyceridesMicePhysical Conditioning, AnimalSkinSkin NeoplasmsTandem Mass SpectrometryTriglyceridesDiglyceridesTriglycerides

Identifiers

PMID25706122
PMCPMC4337902
OpenAlexW2062873312

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.