Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of peripheral blood mononuclear cells and adipose tissue from overweight men fed an anit-inflammatory dietary mix

ABSTRACT: It was hypothesized that specific dietary components are able to reduce low grade inflammation, as well as metabolic stress and oxidative stress in overweight men

ORGANISM(S): Homo sapiens

SUBMITTER: Marjan van Erk

PROVIDER: E-TABM-871 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: a nutrigenomics approach.

Bakker Gertruud Cm GC van Erk Marjan J MJ Pellis Linette L Wopereis Suzan S Rubingh Carina M CM Cnubben Nicole Hp NH Kooistra Teake T van Ommen Ben B Hendriks Henk Fj HF

The American journal of clinical nutrition 20100224 4

<h4>Background</h4>Low-grade chronic inflammation in overweight subjects is thought to play an important role in disease development.<h4>Objective</h4>It was hypothesized that specific dietary components are able to reduce low-grade inflammation as well as metabolic and oxidative stress.<h4>Design</h4>Dietary products [resveratrol, green tea extract, alpha-tocopherol, vitamin C, n-3 (omega-3) polyunsaturated fatty acids, and tomato extract] selected for their evidence-based antiinflammatory prop ...[more]

PMID: 20181810

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Project description:Fish oil supplementation is generally seen as beneficial for human health, due to the presence of n-3 polyunsaturated fatty acids (n-3 PUFAs). These fatty acids can elicit their effect through changes in gene expression. Effects of n-3 PUFAs on gene expression of inflammatory and atherogenic markers have been shown in several in vitro and animal studies. However, little evidence is available on human in vivo studies on n-3 PUFA related gene expression. In the present study we investigate the effects of EPA and DHA supplementation for 6 months on gene expression profiles of peripheral blood mononuclear cells (PBMCs). Whole genome microarray analysis was performed on PBMC RNA from subjects who received 1.8 grams of EPA and DHA in capsules (n=23) or capsules containing high oleic acid sunflower oil (HOSF)(n=25). Intake of EPA and DHA resulted in a change of 1040 genes. We found a down-regulation in inflammatory and atherogenic related pathways, such as NF-ÎºB signaling, eicosanoid synthesis, scavenger receptors activity and cell adhesion. These results seem to point to an improvement in health status, in which lymphocytes are less prone to produce chemokines and adhesion molecules and monocytes show reduced susceptibility to differentiate into foam cells. Overall, beneficial effects of n-3 PUFAs that have been described in vitro and in animal studies, were shown in vivo in human subjects in this study. This not only confirms that EPA and DHA elicits beneficial effects on inflammatory and atherogenic processes of elderly subjects, but also shows that PBMC gene expression profiles can be used to show effects of nutrition on human health status. Fasting venous blood samples were collected at baseline and after 26 weeks of supplementation with either 1.8 g EPA and DHA or HOSF. 4 ml blood was collected for PBMC isolation, using BD Vacutainer Cell Preparation Tubes with sodium citrate (BD, Breda, The Netherlands). Immediately after blood collection PBMCs were isolated according to the manufacturerâs manual. PBMC RNA was isolated from all PBMC samples using Qiagen RNeasy Micro kit (Qiagen, Venlo, the Netherlands). Total RNA from PBMCs from 48 subjects was labeled using a one-cycle cDNA labeling kit (MessageAmpTM II-Biotin Enhanced Kit, Ambion, Inc.) and hybridized to custom designed NuGO GeneChip arrays.

Dataset Information

Transcription profiling of peripheral blood mononuclear cells and adipose tissue from overweight men fed an anit-inflammatory dietary mix

Publications

An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: a nutrigenomics approach.

Similar Datasets

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