AI Article Synopsis

  • Oleic acid (OA) is used as a control fatty acid in studies because it doesn’t affect eicosanoid biosynthesis, and this study investigates its role in transcriptomics and proteomics for colitis in mice.
  • A close clustering of gene and protein expression profiles between mice fed OA and those on an AIN-76A diet with linoleic acid was found, indicating similar inflammatory responses.
  • The study emphasizes the limited alignment between transcriptomics and proteomics data, highlighting the need for a systems biology approach to better understand how diet influences gene expression based on different genotypes.

Article Abstract

Oleic acid (OA) has been used as a control fatty acid in dietary polyunsaturated fatty acid (PUFA) intervention studies due to its lack of effect on eiconasoid biosynthesis. Since the effect of OA as a control fatty acid has not yet been investigated for transcriptomics and proteomics studies, this study aimed to test whether colonic transcriptome and proteome profiles associated with colitis development in mice fed a linoleic acid-rich corn oil-AIN-76A diet (Il10(-/-) compared to C57 mice) where similar to those of OA-fed Il10(-/-) compared to C57 mice (genotype comparison). A close clustering of colonic gene and protein expression profiles between the mice fed the AIN-76A or OA diet was observed. Inflammation-induced regulatory processes associated with cellular and humoral immune responses, cellular stress response and metabolic processes related to energy utilization were identified in Il10(-/-) compared to C57 mice fed either diet. Thus OA was considered as a suitable control unsaturated fatty acid for use in multi-omics PUFA studies. The second aim of this study was to test the effect of an OA-enriched AIN-76A diet compared to a linoleic acid-rich corn oil-AIN-76A diet on colonic transcriptome and proteome changes within Il10(-/-) or C57 mice (diet comparison). Overall, there was a limited concordance observed between measureable transcriptomics and proteomics profiles for genotype and diet comparisons. This underlines the importance and validity of a systems biology approach to understand the effects of diet on gene expression as a function of the genotype.

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http://dx.doi.org/10.1002/biot.201000066DOI Listing

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