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Lipidomic Impacts of an Obesogenic Diet Upon Lewis Lung Carcinoma in Mice

Overview of attention for article published in Frontiers in oncology, May 2018
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Title
Lipidomic Impacts of an Obesogenic Diet Upon Lewis Lung Carcinoma in Mice
Published in
Frontiers in oncology, May 2018
DOI 10.3389/fonc.2018.00134
Pubmed ID
Authors

Sneha Sundaram, Petr Žáček, Michael R. Bukowski, Aaron A. Mehus, Lin Yan, Matthew J. Picklo

Abstract

Metabolic reprogramming of lipid metabolism is a hallmark of cancer. Consumption of a high-fat obesogenic diet enhances spontaneous metastasis using a Lewis lung carcinoma (LLC) model. In order to gain further insights into the mechanisms by which dietary fats impact cancer progression, we conducted a lipidomic analysis of primary tumors originated from LLC from mice fed with a standard AIN93G diet or a soybean oil-based high-fat diet (HFD). Hierarchical clustering heatmap analysis of phosphatidylcholine (PC) lipids and phosphatidylethanolamine (PE) lipids demonstrated an increase in polyunsaturated fatty acids (PUFA)-containing phospholipids and a decrease in monounsaturated fatty acids (MUFA)-containing lipids in tumors from mice fed the HFD. The quantities of 51 PC and 24 PE lipids differed in primary tumors of LLC from mice fed the control diet and the HFD. Analysis of triacylglycerol (TAG) lipids identified differences in 32 TAG (by brutto structure) between the two groups; TAG analysis by neutral loss identified 46 PUFA-containing TAG species that were higher in mice fed with the HFD than in the controls. Intake of the HFD did not alter the expression of the de novo lipogenesis enzymes (fatty acid synthase, acetyl-CoA carboxylase-1, and stearoyl-CoA desaturase-1). Our results demonstrate that the dietary fatty acid composition of the HFD is reflected in the higher order lipidomic composition of primary tumors. Subsequent studies are needed to investigate how these lipidomic changes may be used for targeted dietary intervention to reduce tumor growth and malignant progression.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Bachelor 3 15%
Student > Master 3 15%
Researcher 2 10%
Professor 1 5%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Engineering 3 15%
Medicine and Dentistry 2 10%
Chemistry 2 10%
Immunology and Microbiology 1 5%
Other 2 10%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2018.
All research outputs
#20,688,303
of 25,411,814 outputs
Outputs from Frontiers in oncology
#11,335
of 22,484 outputs
Outputs of similar age
#264,817
of 339,424 outputs
Outputs of similar age from Frontiers in oncology
#106
of 152 outputs
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