JOURNAL ARTICLE

The chemical and biological characteristics of fatty acid esters of hydroxyl fatty acids.

  • Published In: Nutrition Reviews, 2025, v. 83, n. 2. P. e427 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhu, Shuang; He, Yuan; Lei, Jing-Nan; Liu, Yuan-Fa; Xu, Yong-Jiang 3 of 3

Abstract

This article reviews fatty acid esters of hydroxyl fatty acids (FAHFAs), a class of endogenous bioactive lipids discovered in 2014, focusing on their dietary sources, analytical methods, and biological effects, particularly regarding intestinal health. FAHFAs are found in various animal, plant, and microbial foods, including meats, breast milk, fruits, vegetables, cereals, oils, and fermented teas, though their natural concentrations are generally low. Advanced liquid chromatography–mass spectrometry techniques, often combined with chemical derivatization, have improved the detection and structural characterization of FAHFAs, including their chiral isomers. Biologically, FAHFAs exhibit anti-inflammatory, antidiabetic, and gut-protective properties, influencing intestinal barrier integrity and gut microbiota composition, but most functional studies rely on synthetic standards rather than dietary FAHFAs. The review highlights current challenges such as low dietary FAHFA levels, incomplete understanding of their bioavailability and mechanisms in humans, and the need for more sensitive analytical methods and comprehensive studies on their health impacts and potential in functional food development.

Additional Information

  • Source:Nutrition Reviews. 2025/02, Vol. 83, Issue 2, pe427
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:0029-6643
  • DOI:10.1093/nutrit/nuae005
  • Accession Number:182214669
  • Copyright Statement:Copyright of Nutrition Reviews is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.