Literature DB >> 20024935

Transcriptome analysis in benefit-risk assessment of micronutrients and bioactive food components.

Jaap Keijer1, Yvonne G J van Helden, Annelies Bunschoten, Evert M van Schothorst.   

Abstract

The establishment of functional effects due to variation in concentrations of micronutrients in our diet is difficult since they are often not immediately recognized as being healthy or unhealthy. Indeed, effects induced by micronutrients are hard to identify and therefore the establishment of the recommended daily intake, the optimal intake and the upper limit pose a challenge. For bioactive food components this is even more complicated. Whole-genome transcriptome analysis is highly suitable to obtain unbiased information on potential affected biological processes on a whole-genome level. Here, we will describe and discuss several aspects of transcriptome analysis in benefit-risk assessment, including effect size, sensitivity and statistical power, that have to be taken into account to faithfully identify functional effects of micronutrients and bioactive food components.

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Year:  2010        PMID: 20024935     DOI: 10.1002/mnfr.200900304

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  7 in total

1.  Blood cells transcriptomics as source of potential biomarkers of articular health improvement: effects of oral intake of a rooster combs extract rich in hyaluronic acid.

Authors:  Juana Sánchez; M Luisa Bonet; Jaap Keijer; Evert M van Schothorst; Ingrid Mölller; Carles Chetrit; Daniel Martinez-Puig; Andreu Palou
Journal:  Genes Nutr       Date:  2014-07-15       Impact factor: 5.523

2.  BIOCLAIMS standard diet (BIOsd): a reference diet for nutritional physiology.

Authors:  Femke P M Hoevenaars; Evert M van Schothorst; Olga Horakova; Anja Voigt; Martin Rossmeisl; Catalina Pico; Antoni Caimari; Jan Kopecky; Susanne Klaus; Jaap Keijer
Journal:  Genes Nutr       Date:  2012-01-07       Impact factor: 5.523

3.  Identification of early transcriptome-based biomarkers related to lipid metabolism in peripheral blood mononuclear cells of rats nutritionally programmed for improved metabolic health.

Authors:  J Konieczna; J Sánchez; E M van Schothorst; J M Torrens; A Bunschoten; M Palou; C Picó; J Keijer; A Palou
Journal:  Genes Nutr       Date:  2013-12-17       Impact factor: 5.523

Review 4.  Nutrigenomics of body weight regulation: a rationale for careful dissection of individual contributors.

Authors:  Jaap Keijer; Femke P M Hoevenaars; Arie Nieuwenhuizen; Evert M van Schothorst
Journal:  Nutrients       Date:  2014-10-21       Impact factor: 5.717

5.  Epithelial response to a high-protein diet in rat colon.

Authors:  Martin Beaumont; Mireille Andriamihaja; Lucie Armand; Marta Grauso; Florence Jaffrézic; Denis Laloë; Marco Moroldo; Anne-Marie Davila; Daniel Tomé; François Blachier; Annaïg Lan
Journal:  BMC Genomics       Date:  2017-01-31       Impact factor: 3.969

Review 6.  Immunometabolism, Micronutrients, and Bariatric Surgery: The Use of Transcriptomics and Microbiota-Targeted Therapies.

Authors:  Shannon Galyean; Dhanashree Sawant; Andrew C Shin
Journal:  Mediators Inflamm       Date:  2020-11-17       Impact factor: 4.711

7.  Anthocyanin-Biofortified Colored Wheat Prevents High Fat Diet-Induced Alterations in Mice: Nutrigenomics Studies.

Authors:  Saloni Sharma; Pragyanshu Khare; Ashish Kumar; Venkatesh Chunduri; Aman Kumar; Payal Kapoor; Priyanka Mangal; Kanthi Kiran Kondepudi; Mahendra Bishnoi; Monika Garg
Journal:  Mol Nutr Food Res       Date:  2020-05-18       Impact factor: 5.914

  7 in total

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