Omega-6 and omega-3 oxylipins are implicated in soybean oil-induced obesity in mice
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Mus Musculus (ncbitaxon:10090)
SUBMITTER: 
Frances M. Sladeka
PROVIDER: MSV000081149 | MassIVE | Thu Jun 08 09:55:00 BST 2017
SECONDARY ACCESSION(S): PXD006681
REPOSITORIES: MassIVE
Publications
Omega-6 and omega-3 oxylipins are implicated in soybean oil-induced obesity in mice.
Deol Poonamjot P Fahrmann Johannes J Yang Jun J Evans Jane R JR Rizo Antonia A Grapov Dmitry D Salemi Michelle M Wanichthanarak Kwanjeera K Fiehn Oliver O Phinney Brett B Hammock Bruce D BD Sladek Frances M FM
Scientific reports 20171002 1
Soybean oil consumption is increasing worldwide and parallels a rise in obesity. Rich in unsaturated fats, especially linoleic acid, soybean oil is assumed to be healthy, and yet it induces obesity, diabetes, insulin resistance, and fatty liver in mice. Here, we show that the genetically modified soybean oil Plenish, which came on the U.S. market in 2014 and is low in linoleic acid, induces less obesity than conventional soybean oil in C57BL/6 male mice. Proteomic analysis of the liver reveals g ...[more]
Similar Datasets
Project description:Soybean oil consumption is increasing worldwide and parallels the obesity epidemic in the U.S. Rich in unsaturated fats, especially linoleic acid, soybean oil is assumed to be healthy, and yet it induces obesity, diabetes, insulin resistance and fatty liver in mice. The genetically modified soybean oil Plenish came on the U.S. market in 2014: it is low in linoleic acid and similar to olive oil in fatty acid composition. Here we show that Plenish induces less obesity than conventional soybean oil: metabolomics, proteomics and a transgenic mouse model implicate oxylipin metabolites of omega-6 and omega-3 fatty acids (linoleic and α-linolenic acid, respectively), which are generated by target genes of nuclear receptor HNF4α. While Plenish induces less insulin resistance than conventional soybean oil, it results in hepatomegaly and liver dysfunction as does olive oil. Altering the fatty acid profile of soybeans could help reduce obesity but may also cause liver complications.
2017-03-20 | GSE79408 | GEO
Project description:In this study we have compared the metabolic effects of conventional soybean oil to those of genetically modified Plenish soybean oil, that is low in linoleic acid and high in oleic acid. This work builds on our previous study showing that soybean oil, rich in polyunsaturated fats, is more obesogenic and diabetogenic than coconut oil, rich in saturated fats (PMID: 26200659). Here, in order to elucidate the mechanisms responsible for soybean oil induced obesity, we have performed the first ever metabolomics (in plasma and liver) and proteomics on the livers of mice fed the two soybean oil diets (plus those fed a high coconut oil and Viv chow diet). Our results show that the new high oleic soybean oil induces less obesity and adiposity than conventional soybean oil, but can cause hepatomegaly and liver dysfunction. Metabolomic analysis reveals that the hepatic and plasma metabolic profiles differ considerably between the two soybean oils. Hepatic C18 oxylipin metabolites of omega-6 (ω6) and omega-3 (ω3) fatty acids (linoleic and α-linolenic acid, respectively) in the cytochrome P450/soluble epoxide hydrolase pathway were found to correlate positively with obesity.
2017-06-22 | ST000660 | MetabolomicsWorkbench
Project description:In this study we have compared the metabolic effects of conventional soybean oil to those of genetically modified Plenish soybean oil, that is low in linoleic acid and high in oleic acid. This work builds on our previous study showing that soybean oil, rich in polyunsaturated fats, is more obesogenic and diabetogenic than coconut oil, rich in saturated fats (PMID: 26200659). Here, in order to elucidate the mechanisms responsible for soybean oil induced obesity, we have performed the first ever metabolomics (in plasma and liver) and proteomics on the livers of mice fed the two soybean oil diets (plus those fed a high coconut oil and Viv chow diet). Our results show that the new high oleic soybean oil induces less obesity and adiposity than conventional soybean oil, but can cause hepatomegaly and liver dysfunction. Metabolomic analysis reveals that the hepatic and plasma metabolic profiles differ considerably between the two soybean oils. Hepatic C18 oxylipin metabolites of omega-6 (ω6) and omega-3 (ω3) fatty acids (linoleic and α-linolenic acid, respectively) in the cytochrome P450/soluble epoxide hydrolase pathway were found to correlate positively with obesity.
2017-06-22 | ST000655 | MetabolomicsWorkbench
Project description:In this study we have compared the metabolic effects of conventional soybean oil to those of genetically modified Plenish soybean oil, that is low in linoleic acid and high in oleic acid. This work builds on our previous study showing that soybean oil, rich in polyunsaturated fats, is more obesogenic and diabetogenic than coconut oil, rich in saturated fats (PMID: 26200659). Here, in order to elucidate the mechanisms responsible for soybean oil induced obesity, we have performed the first ever metabolomics (in plasma and liver) and proteomics on the livers of mice fed the two soybean oil diets (plus those fed a high coconut oil and Viv chow diet). Our results show that the new high oleic soybean oil induces less obesity and adiposity than conventional soybean oil, but can cause hepatomegaly and liver dysfunction. Metabolomic analysis reveals that the hepatic and plasma metabolic profiles differ considerably between the two soybean oils. Hepatic C18 oxylipin metabolites of omega-6 (ω6) and omega-3 (ω3) fatty acids (linoleic and α-linolenic acid, respectively) in the cytochrome P450/soluble epoxide hydrolase pathway were found to correlate positively with obesity.
2017-06-23 | ST000658 | MetabolomicsWorkbench
Project description:In this study we have compared the metabolic effects of conventional soybean oil to those of genetically modified Plenish soybean oil, that is low in linoleic acid and high in oleic acid. This work builds on our previous study showing that soybean oil, rich in polyunsaturated fats, is more obesogenic and diabetogenic than coconut oil, rich in saturated fats (PMID: 26200659). Here, in order to elucidate the mechanisms responsible for soybean oil induced obesity, we have performed the first ever metabolomics (in plasma and liver) and proteomics on the livers of mice fed the two soybean oil diets (plus those fed a high coconut oil and Viv chow diet). Our results show that the new high oleic soybean oil induces less obesity and adiposity than conventional soybean oil, but can cause hepatomegaly and liver dysfunction. Metabolomic analysis reveals that the hepatic and plasma metabolic profiles differ considerably between the two soybean oils. Hepatic C18 oxylipin metabolites of omega-6 (ω6) and omega-3 (ω3) fatty acids (linoleic and α-linolenic acid, respectively) in the cytochrome P450/soluble epoxide hydrolase pathway were found to correlate positively with obesity.
2017-06-23 | ST000656 | MetabolomicsWorkbench
Project description:An 8-week high fat palm oil diet causes obesity and insulin resistance in C57BL/6J mice, but induces only small changes in the muscle transcriptome. Introduction: The metabolic syndrome (MS) is a cluster of metabolic abnormalities linked to an increased risk of type 2 diabetes and cardiovascular diseases. Two major characteristics of the MS are obesity and insulin resistance. In the present study we investigated the effect of obesity and insulin resistance on the mouse muscle transcriptome. Methods: C57BL/6J mice were fed a palm oil-based low fat diet (LFD) or high fat diet (HFD) for eight weeks. Microarray analysis was performed by using two complementary strategies: (1) 8-week HFD transcriptome versus 8-week LFD transcriptome and (2) transcriptome of mice sacrificed at the start of the intervention versus 8-week LFD transcriptome and 8-week HFD transcriptome, respectively. Results: HFD mice develop obesity and whole-body insulin resistance. Despite these metabolic disturbances we found that HFD induces relatively small changes in gene expression (< 1.3 fold). Only the up-regulation of FA oxidation and the down-regulation of the MAPK cascade were specific for the HFD intervention. Eight-weeks of aging induced more changed gene expression levels than the HFD, including genes involved in cell-cell interaction and development. Conclusion: Eight weeks of aging induce more pronounced changes in the muscle transcriptome than an HFD. Since only one strategy revealed the transcriptional down-regulation of the MAPK cascade, whereas both strategies showed the up-regulation of FA oxidation we suggest the use of complementary analysis strategies by the genome-wide search of gene expression changes induced by mild interventions, such as an HFD. Keywords: diet intervention and time course In this study, C57BL/6J mice were fed a high fat (HF) diet for 8 weeks to induce obesity and insulin resistance. Plasma levels of the adipokines leptin and adiponectin were measured. To investigate how these metabolic disturbances will influence the skeletal muscle transcriptome we performed whole-genome microarray analysis. Functional implications were assessed by analyses of predefined gene sets based on Gene Ontology, biochemical, metabolic and signaling pathways.
2010-08-10 | E-GEOD-17576 | biostudies-arrayexpress
Project description:Obesity causes the change of microenvironment of adipose tissue and induces the occurrence of adipose tissue inflammation. The objective of this study was to analyze the internal mechanism of microenvironment change in mouse parepididymal adipose tissue by single-nucleus RNA sequencing. Nutritional obesity mouse model was established and verified by morphology, blood index and liver oil red O staining. Select Ctrl group, Mid_Ob group and Ob group, and take 8 mice at 3 time points. The changes of cell population, gene and signaling pathway expression in the adipose tissue of the parastriatic muscle in mice during obesity were detected by single-nucleus RNA sequencing and immunohistochemistry. According to the results of single-nucleus RNA sequencing, adipose tissue was divided into fibroblasts, macrophages, neutrophils and endothelial cells. It is found that all cell types have changes during the development of obesity and play an important role in regulating the microenvironment of adipose tissue.
2023-06-28 | GSE235469 | GEO
Project description:An 8-week high fat palm oil diet causes obesity and insulin resistance in C57BL/6J mice, but induces only small changes in the muscle transcriptome. Introduction: The metabolic syndrome (MS) is a cluster of metabolic abnormalities linked to an increased risk of type 2 diabetes and cardiovascular diseases. Two major characteristics of the MS are obesity and insulin resistance. In the present study we investigated the effect of obesity and insulin resistance on the mouse muscle transcriptome. Methods: C57BL/6J mice were fed a palm oil-based low fat diet (LFD) or high fat diet (HFD) for eight weeks. Microarray analysis was performed by using two complementary strategies: (1) 8-week HFD transcriptome versus 8-week LFD transcriptome and (2) transcriptome of mice sacrificed at the start of the intervention versus 8-week LFD transcriptome and 8-week HFD transcriptome, respectively. Results: HFD mice develop obesity and whole-body insulin resistance. Despite these metabolic disturbances we found that HFD induces relatively small changes in gene expression (< 1.3 fold). Only the up-regulation of FA oxidation and the down-regulation of the MAPK cascade were specific for the HFD intervention. Eight-weeks of aging induced more changed gene expression levels than the HFD, including genes involved in cell-cell interaction and development. Conclusion: Eight weeks of aging induce more pronounced changes in the muscle transcriptome than an HFD. Since only one strategy revealed the transcriptional down-regulation of the MAPK cascade, whereas both strategies showed the up-regulation of FA oxidation we suggest the use of complementary analysis strategies by the genome-wide search of gene expression changes induced by mild interventions, such as an HFD. Keywords: diet intervention and time course
2010-08-10 | GSE17576 | GEO
Project description:Genetic/genome diversity underlying variation in seed oil composition and content among soybean varieties is largely attributed to differences in transcript sequences and/or transcript accumulation of oil production related genes in seeds. Discovery and analysis of sequence and expression variations in these genes will accelerate soybean oil quality improvement. In an effort to identify these variations, we sequenced the transcriptomes of soybean seeds from nine lines varying in oil composition and/or total oil content. Our results showed that 69,338 distinct transcripts from 32,885 annotated genes were expressed in seeds. A total of 8,037 transcript expression polymorphisms and 50,485 transcript sequence polymorphisms (48,792 SNPs and 1,693 small Indels) were identified among the lines. Effects of the transcript polymorphisms on their encoded protein sequences and functions were predicted. The studies also provided independent evidence that the lack of FAD2-1A gene activity and a non-synonymous SNP in the coding sequence of FAB2C caused elevated oleic acid and stearic acid levels in soybean lines M23 and FAM94-41, respectively. As a proof-of-concept, we developed an integrated RNA-seq and bioinformatics approach to identify and functionally annotate transcript polymorphisms, and demonstrated its high effectiveness for discovery of genetic and transcript variations that result in altered oil quality traits. The collection of transcript polymorphisms coupled with their predicted functional effects will be a valuable asset for further discovery of genes, gene variants, and functional markers to improve soybean oil quality.
2016-01-13 | GSE56297 | GEO
Project description:Genetic/genome diversity underlying variation in seed oil composition and content among soybean varieties is largely attributed to differences in transcript sequences and/or transcript accumulation of oil production related genes in seeds. Discovery and analysis of sequence and expression variations in these genes will accelerate soybean oil quality improvement. In an effort to identify these variations, we sequenced the transcriptomes of soybean seeds from nine lines varying in oil composition and/or total oil content. Our results showed that 69,338 distinct transcripts from 32,885 annotated genes were expressed in seeds. A total of 8,037 transcript expression polymorphisms and 50,485 transcript sequence polymorphisms (48,792 SNPs and 1,693 small Indels) were identified among the lines. Effects of the transcript polymorphisms on their encoded protein sequences and functions were predicted. The studies also provided independent evidence that the lack of FAD2-1A gene activity and a non-synonymous SNP in the coding sequence of FAB2C caused elevated oleic acid and stearic acid levels in soybean lines M23 and FAM94-41, respectively. As a proof-of-concept, we developed an integrated RNA-seq and bioinformatics approach to identify and functionally annotate transcript polymorphisms, and demonstrated its high effectiveness for discovery of genetic and transcript variations that result in altered oil quality traits. The collection of transcript polymorphisms coupled with their predicted functional effects will be a valuable asset for further discovery of genes, gene variants, and functional markers to improve soybean oil quality. transcriptome comparison of nine different soybean varieties
2016-01-13 | E-GEOD-56297 | biostudies-arrayexpress