Literature DB >> 16711475

Methods and options for estimating iron and zinc bioavailability using Caco-2 cell models: benefits and limitations.

Paul Sharp1.   

Abstract

Micronutrient deficiencies are prevalent worldwide and have detrimental effects on human health. Complex interactions between micronutrients and other dietary components largely determine micronutrient bioavailability, and understanding these interactions is key to improving micronutrient status. A number of in vitro and in vivo methodologies are available for assessing micronutrient bioavailability. The purpose of this review is to highlight the usefulness of one of the in vitro models, the Caco-2 cell, as a predictive tool for human micronutrient bioavailability. The review focuses on current methods used with the Caco-2 cell line, their benefits and limitations, and the possibilities for the future development of this model.

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Year:  2005        PMID: 16711475     DOI: 10.1024/0300-9831.75.6.413

Source DB:  PubMed          Journal:  Int J Vitam Nutr Res        ISSN: 0300-9831            Impact factor:   1.784


  4 in total

1.  Improving human micronutrient nutrition through biofortification in the soil-plant system: China as a case study.

Authors:  Xiao-E Yang; Wen-Rong Chen; Ying Feng
Journal:  Environ Geochem Health       Date:  2007-03-24       Impact factor: 4.609

2.  HIF-2alpha, but not HIF-1alpha, promotes iron absorption in mice.

Authors:  Maria Mastrogiannaki; Pavle Matak; Brian Keith; M Celeste Simon; Sophie Vaulont; Carole Peyssonnaux
Journal:  J Clin Invest       Date:  2009-04-06       Impact factor: 14.808

3.  Comparison study of oral iron preparations using a human intestinal model.

Authors:  Mohammed Gulrez Zariwala; Satyanarayana Somavarapu; Sebastien Farnaud; Derek Renshaw
Journal:  Sci Pharm       Date:  2013-06-21

Review 4.  Novel and established intestinal cell line models - An indispensable tool in food science and nutrition.

Authors:  Tomaz Langerholc; Petros A Maragkoudakis; Jan Wollgast; Lidija Gradisnik; Avrelija Cencic
Journal:  Trends Food Sci Technol       Date:  2011-04-09       Impact factor: 12.563

  4 in total

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