Johanna W Lampe1,2, Ying Huang3, Marian L Neuhouser3,2, Lesley F Tinker3, Xiaoling Song3, Dale A Schoeller4, Soyoung Kim5, Daniel Raftery6, Chongzhi Di3, Cheng Zheng7, Yvonne Schwarz3, Linda Van Horn8, Cynthia A Thomson9, Yasmin Mossavar-Rahmani10, Shirley Aa Beresford3,2, Ross L Prentice3,2. 1. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA; jlampe@fredhutch.org. 2. School of Public Health and. 3. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA. 4. Department of Nutritional Sciences, College of Agricultural and Life Sciences, University of Wisconsin, Madison, WI. 5. Division of Biostatistics, Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI. 6. School of Medicine, University of Washington, Seattle, WA. 7. Joseph J Zilber School of Public Health, University of Wisconsin, Milwaukee, WI. 8. Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL. 9. Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ; and. 10. Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Abstract
BACKGROUND: Controlled human feeding studies are necessary for robust nutritional biomarker development and validation. Previous feeding studies have typically evaluated single nutrients and tested relatively few diets. OBJECTIVES: The objectives were 1) to simultaneously associate dietary intake with a range of potential nutritional biomarkers in postmenopausal women by using a controlled feeding study whereby each participant was provided a diet similar to her usual diet and 2) to evaluate serum concentrations of select nutrients as potential biomarkers with the use of established urinary recovery biomarkers of energy and protein as benchmarks for evaluation. DESIGN:Postmenopausal women from the Women's Health Initiative (n = 153) were provided with a 2-wk controlled diet in which each individual's menu approximated her habitual food intake as estimated from her 4-d food record and adjusted for estimated energy requirements. Serum biomarkers, including carotenoids, tocopherols, folate, vitamin B-12, and phospholipid fatty acids, were collected at the beginning and end of the feeding period. Doubly labeled water and urinary nitrogen biomarkers were used to derive estimates of energy and protein consumption, respectively. RESULTS: Linear regression of (ln-transformed) consumed nutrients on (ln-transformed) potential biomarkers and participant characteristics led to the following regression (R2) values for serum concentration biomarkers: folate, 0.49; vitamin B-12, 0.51; α-carotene, 0.53; β-carotene, 0.39; lutein + zeaxanthin, 0.46; lycopene, 0.32; and α-tocopherol, 0.47. R2 values for percentage of energy from polyunsaturated fatty acids and urinary recovery biomarkers of energy and protein intakes were 0.27, 0.53, and 0.43, respectively. Phospholipid saturated fatty acids and monounsaturated fatty acids and serum γ-tocopherol were weakly associated with intake (R2 < 0.25). CONCLUSIONS: Serum concentration biomarkers of several vitamins and carotenoids performed similarly to established energy and protein urinary recovery biomarkers in representing nutrient intake variation in a feeding study, and thus are likely suitable for application in this population of postmenopausal women. Further work is needed to identify objective measures of categories of fatty acid intake. This trial was registered at clinicaltrials.gov as NCT00000611.
RCT Entities:
BACKGROUND: Controlled human feeding studies are necessary for robust nutritional biomarker development and validation. Previous feeding studies have typically evaluated single nutrients and tested relatively few diets. OBJECTIVES: The objectives were 1) to simultaneously associate dietary intake with a range of potential nutritional biomarkers in postmenopausal women by using a controlled feeding study whereby each participant was provided a diet similar to her usual diet and 2) to evaluate serum concentrations of select nutrients as potential biomarkers with the use of established urinary recovery biomarkers of energy and protein as benchmarks for evaluation. DESIGN: Postmenopausal women from the Women's Health Initiative (n = 153) were provided with a 2-wk controlled diet in which each individual's menu approximated her habitual food intake as estimated from her 4-d food record and adjusted for estimated energy requirements. Serum biomarkers, including carotenoids, tocopherols, folate, vitamin B-12, and phospholipid fatty acids, were collected at the beginning and end of the feeding period. Doubly labeled water and urinary nitrogen biomarkers were used to derive estimates of energy and protein consumption, respectively. RESULTS: Linear regression of (ln-transformed) consumed nutrients on (ln-transformed) potential biomarkers and participant characteristics led to the following regression (R2) values for serum concentration biomarkers: folate, 0.49; vitamin B-12, 0.51; α-carotene, 0.53; β-carotene, 0.39; lutein + zeaxanthin, 0.46; lycopene, 0.32; and α-tocopherol, 0.47. R2 values for percentage of energy from polyunsaturated fatty acids and urinary recovery biomarkers of energy and protein intakes were 0.27, 0.53, and 0.43, respectively. Phospholipid saturated fatty acids and monounsaturated fatty acids and serum γ-tocopherol were weakly associated with intake (R2 < 0.25). CONCLUSIONS: Serum concentration biomarkers of several vitamins and carotenoids performed similarly to established energy and protein urinary recovery biomarkers in representing nutrient intake variation in a feeding study, and thus are likely suitable for application in this population of postmenopausal women. Further work is needed to identify objective measures of categories of fatty acid intake. This trial was registered at clinicaltrials.gov as NCT00000611.
Authors: Lesley F Tinker; Gloria E Sarto; Barbara V Howard; Ying Huang; Marian L Neuhouser; Yasmin Mossavar-Rahmani; Jeannette M Beasley; Karen L Margolis; Charles B Eaton; Lawrence S Phillips; Ross L Prentice Journal: Am J Clin Nutr Date: 2011-11-09 Impact factor: 7.045
Authors: Ross L Prentice; Yasmin Mossavar-Rahmani; Ying Huang; Linda Van Horn; Shirley A A Beresford; Bette Caan; Lesley Tinker; Dale Schoeller; Sheila Bingham; Charles B Eaton; Cynthia Thomson; Karen C Johnson; Judy Ockene; Gloria Sarto; Gerardo Heiss; Marian L Neuhouser Journal: Am J Epidemiol Date: 2011-07-15 Impact factor: 4.897
Authors: F B Scagliusi; E Ferriolli; K Pfrimer; C Laureano; C S F Cunha; B Gualano; B H Lourenço; A H Lancha Journal: Eur J Clin Nutr Date: 2009-07-15 Impact factor: 4.016
Authors: Cheng Zheng; Shirley A Beresford; Linda Van Horn; Lesley F Tinker; Cynthia A Thomson; Marian L Neuhouser; Chongzhi Di; JoAnn E Manson; Yasmin Mossavar-Rahmani; Rebecca Seguin; Todd Manini; Andrea Z LaCroix; Ross L Prentice Journal: Am J Epidemiol Date: 2014-07-12 Impact factor: 4.897
Authors: Hee Young Yun; Lesley F Tinker; Marian L Neuhouser; Dale A Schoeller; Yasmin Mossavar-Rahmani; Linda G Snetselaar; Linda V Van Horn; Charles B Eaton; Ross L Prentice; Johanna W Lampe; Diane M O'Brien Journal: J Nutr Date: 2020-10-12 Impact factor: 4.798
Authors: Regan L Bailey; Kevin W Dodd; Jaime J Gahche; Johanna T Dwyer; Alexandra E Cowan; Shinyoung Jun; Heather A Eicher-Miller; Patricia M Guenther; Anindya Bhadra; Paul R Thomas; Nancy Potischman; Raymond J Carroll; Janet A Tooze Journal: J Nutr Date: 2019-02-01 Impact factor: 4.798
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: Hee Young Yun; Johanna W Lampe; Lesley F Tinker; Marian L Neuhouser; Shirley A A Beresford; Kristine R Niles; Yasmin Mossavar-Rahmani; Linda G Snetselaar; Linda Van Horn; Ross L Prentice; Diane M O'Brien Journal: J Nutr Date: 2018-12-01 Impact factor: 4.798
Authors: Somdat Mahabir; Walter C Willett; Christine M Friedenreich; Gabriel Y Lai; Carol J Boushey; Charles E Matthews; Rashmi Sinha; Graham A Colditz; Joseph A Rothwell; Jill Reedy; Alpa V Patel; Michael F Leitzmann; Gary E Fraser; Sharon Ross; Stephen D Hursting; Christian C Abnet; Lawrence H Kushi; Philip R Taylor; Ross L Prentice Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-12-18 Impact factor: 4.254
Authors: Miranda Jones Spratlen; Mary V Gamble; Maria Grau-Perez; Chin-Chi Kuo; Lyle G Best; Joseph Yracheta; Kevin Francesconi; Walter Goessler; Yasmin Mossavar-Rahmani; Meghan Hall; Jason G Umans; Amanda Fretts; Ana Navas-Acien Journal: Food Chem Toxicol Date: 2017-05-04 Impact factor: 6.023
Authors: Ross L Prentice; Mary Pettinger; Marian L Neuhouser; Lesley F Tinker; Ying Huang; Cheng Zheng; JoAnn E Manson; Yasmin Mossavar-Rahmani; Garnet L Anderson; Johanna W Lampe Journal: Am J Clin Nutr Date: 2019-04-01 Impact factor: 7.045
Authors: Ruth H Keogh; Pamela A Shaw; Paul Gustafson; Raymond J Carroll; Veronika Deffner; Kevin W Dodd; Helmut Küchenhoff; Janet A Tooze; Michael P Wallace; Victor Kipnis; Laurence S Freedman Journal: Stat Med Date: 2020-04-03 Impact factor: 2.373