Irena B King1, Rozenn N Lemaitre, Mark Kestin. 1. Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA. iking@fhcrc.org
Abstract
BACKGROUND: The utility of fatty acids (FAs) as biomarkers of total fat intake is unknown. OBJECTIVE: We compared FA changes in red cells (RCs), plasma phospholipids (PLs), and cholesterol esters (CEs) in response to a low-fat diet (LFD) and a moderate-fat diet (MFD) and assessed whether individual or combination of FAs predict LFD. DESIGN:Postmenopausal women (n = 66) were randomly assigned to receive an LFD (17% of energy from fat) or an MFD (34% of energy from fat) for 6 wk. All foods were provided. FAs in diets and blood were determined by gas-liquid chromatography. FA changes between baseline and end of study were compared across diets by using t tests. FA predictors of an LFD were selected by logistic regression. RESULTS: Many FAs in RCs, PLs, and CEs responded differently to the 2 diets. Changes from baseline with an LFD for palmitic acid (16:0) (3-11% increase), behenic (22:0) and lignoceric (24:0) acids (3-20% decrease, in RCs and PLs only), cis-monounsaturated FA (MUFA) (25-35% increase), linoleic acid (18:2n-6) (11-13% decrease), trans octadecanoic acids (trans 18:1) (7-20% decrease), and n-6 highly unsaturated FA (HUFA) (2-8% increase) were significantly different from changes with an MFD. Individually, 18:2n-6 and trans 18:1 were strong predictors of an LFD [receiver operating characteristic (ROC) curves: 0.92-0.80). A logistic regression model with trans 18:1, 18:2n-6, and vaccenic acid (18:1n-7) predicted an LFD with high specificity and sensitivity (ROC curves: 0.99). CONCLUSIONS: Saturated FA, cisMUFA, n-6 HUFA, and exogenous FAs greatly differed in their response to the LFD and MFD. Parallel responses were observed in RCs, PLs, and CEs. A model with a combination of FAs almost perfectly differentiated the consumption of 34% fat from that of 17% fat.
RCT Entities:
BACKGROUND: The utility of fatty acids (FAs) as biomarkers of total fat intake is unknown. OBJECTIVE: We compared FA changes in red cells (RCs), plasma phospholipids (PLs), and cholesterol esters (CEs) in response to a low-fat diet (LFD) and a moderate-fat diet (MFD) and assessed whether individual or combination of FAs predict LFD. DESIGN: Postmenopausal women (n = 66) were randomly assigned to receive an LFD (17% of energy from fat) or an MFD (34% of energy from fat) for 6 wk. All foods were provided. FAs in diets and blood were determined by gas-liquid chromatography. FA changes between baseline and end of study were compared across diets by using t tests. FA predictors of an LFD were selected by logistic regression. RESULTS: Many FAs in RCs, PLs, and CEs responded differently to the 2 diets. Changes from baseline with an LFD for palmitic acid (16:0) (3-11% increase), behenic (22:0) and lignoceric (24:0) acids (3-20% decrease, in RCs and PLs only), cis-monounsaturated FA (MUFA) (25-35% increase), linoleic acid (18:2n-6) (11-13% decrease), trans octadecanoic acids (trans 18:1) (7-20% decrease), and n-6 highly unsaturated FA (HUFA) (2-8% increase) were significantly different from changes with an MFD. Individually, 18:2n-6 and trans 18:1 were strong predictors of an LFD [receiver operating characteristic (ROC) curves: 0.92-0.80). A logistic regression model with trans 18:1, 18:2n-6, and vaccenic acid (18:1n-7) predicted an LFD with high specificity and sensitivity (ROC curves: 0.99). CONCLUSIONS: Saturated FA, cisMUFA, n-6 HUFA, and exogenous FAs greatly differed in their response to the LFD and MFD. Parallel responses were observed in RCs, PLs, and CEs. A model with a combination of FAs almost perfectly differentiated the consumption of 34% fat from that of 17% fat.
Authors: Ben van Ommen; Jaap Keijer; Robert Kleemann; Ruan Elliott; Christian A Drevon; Harry McArdle; Mike Gibney; Michael Müller Journal: Genes Nutr Date: 2008-06-25 Impact factor: 5.523
Authors: Chisa Matsumoto; Nirupa R Matthan; Alice H Lichtenstein; J Michael Gaziano; Luc Djoussé Journal: Am J Clin Nutr Date: 2013-07-03 Impact factor: 7.045
Authors: Dariush Mozaffarian; Edmond K Kabagambe; Catherine O Johnson; Rozenn N Lemaitre; Ani Manichaikul; Qi Sun; Millennia Foy; Lu Wang; Howard Wiener; Marguerite R Irvin; Stephen S Rich; Hongyu Wu; Majken K Jensen; Daniel I Chasman; Audrey Y Chu; Myriam Fornage; Lyn Steffen; Irena B King; Barbara McKnight; Bruce M Psaty; Luc Djoussé; Ida Y-D Chen; Jason H Y Wu; David S Siscovick; Paul M Ridker; Michael Y Tsai; Eric B Rimm; Frank B Hu; Donna K Arnett Journal: Am J Clin Nutr Date: 2014-12-10 Impact factor: 7.045
Authors: Dariush Mozaffarian; Rozenn N Lemaitre; Irena B King; Xiaoling Song; Donna Spiegelman; Frank M Sacks; Eric B Rimm; David S Siscovick Journal: Ann Intern Med Date: 2011-08-02 Impact factor: 25.391
Authors: Xiaoling Song; Ying Huang; Marian L Neuhouser; Lesley F Tinker; Mara Z Vitolins; Ross L Prentice; Johanna W Lampe Journal: Am J Clin Nutr Date: 2017-04-26 Impact factor: 7.045
Authors: Brendin R Beaulieu-Jones; Diane M O'Brien; Scarlett E Hopkins; Jason H Moore; Bert B Boyer; Diane Gilbert-Diamond Journal: J Nutr Date: 2015-03-18 Impact factor: 4.798
Authors: J Allaire; X Moreel; M-È Labonté; C Léger; A Caron; P Julien; B Lamarche; V Fradet Journal: Eur J Clin Nutr Date: 2015-03-11 Impact factor: 4.016
Authors: Cassandra E Forsythe; Stephen D Phinney; Richard D Feinman; Brittanie M Volk; Daniel Freidenreich; Erin Quann; Kevin Ballard; Michael J Puglisi; Carl M Maresh; William J Kraemer; Douglas M Bibus; Maria Luz Fernandez; Jeff S Volek Journal: Lipids Date: 2010-09-07 Impact factor: 1.880