Literature DB >> 28031191

Dietary biomarker evaluation in a controlled feeding study in women from the Women's Health Initiative cohort.

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.   

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.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  carotenoids; doubly labeled water; energy; fatty acids; folate; human feeding study; nutrition assessment; protein; tocopherols; vitamin B-12

Mesh:

Substances:

Year:  2016        PMID: 28031191      PMCID: PMC5267309          DOI: 10.3945/ajcn.116.144840

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  47 in total

1.  Biomarker-calibrated dietary energy and protein intake associations with diabetes risk among postmenopausal women from the Women's Health Initiative.

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

2.  Adherence to cancer prevention guidelines and risk of breast cancer.

Authors:  Chelsea Catsburg; Anthony B Miller; Thomas E Rohan
Journal:  Int J Cancer       Date:  2014-04-18       Impact factor: 7.396

3.  Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

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

4.  Use of the Danish Adoption Register for the study of obesity and thinness.

Authors:  A J Stunkard; T Sørensen; F Schulsinger
Journal:  Res Publ Assoc Res Nerv Ment Dis       Date:  1983

5.  Characteristics of women who frequently under report their energy intake: a doubly labelled water study.

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

6.  Simultaneous association of total energy consumption and activity-related energy expenditure with risks of cardiovascular disease, cancer, and diabetes among postmenopausal women.

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

7.  A new predictive equation for resting energy expenditure in healthy individuals.

Authors:  M D Mifflin; S T St Jeor; L A Hill; B J Scott; S A Daugherty; Y O Koh
Journal:  Am J Clin Nutr       Date:  1990-02       Impact factor: 7.045

8.  The relation of diet, cigarette smoking, and alcohol consumption to plasma beta-carotene and alpha-tocopherol levels.

Authors:  W S Stryker; L A Kaplan; E A Stein; M J Stampfer; A Sober; W C Willett
Journal:  Am J Epidemiol       Date:  1988-02       Impact factor: 4.897

9.  Discrepancy between the Atwater factor predicted and empirically measured energy values of almonds in human diets.

Authors:  Janet A Novotny; Sarah K Gebauer; David J Baer
Journal:  Am J Clin Nutr       Date:  2012-07-03       Impact factor: 7.045

10.  The accuracy of the Goldberg method for classifying misreporters of energy intake on a food frequency questionnaire and 24-h recalls: comparison with doubly labeled water.

Authors:  J A Tooze; S M Krebs-Smith; R P Troiano; A F Subar
Journal:  Eur J Clin Nutr       Date:  2011-11-30       Impact factor: 4.016

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  37 in total

1.  The Carbon Isotope Ratios of Serum Amino Acids in Combination with Participant Characteristics can be Used to Estimate Added Sugar Intake in a Controlled Feeding Study of US Postmenopausal Women.

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

Review 2.  Best Practices for Dietary Supplement Assessment and Estimation of Total Usual Nutrient Intakes in Population-Level Research and Monitoring.

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

3.  The nutritional metabolomics crossroads: how to ensure success for dietary biomarkers.

Authors:  Lorraine Brennan
Journal:  Am J Clin Nutr       Date:  2017-01-18       Impact factor: 7.045

4.  Dietary long-chain fatty acids and carbohydrate biomarker evaluation in a controlled feeding study in participants from the Women's Health Initiative cohort.

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

5.  Serum Nitrogen and Carbon Stable Isotope Ratios Meet Biomarker Criteria for Fish and Animal Protein Intake in a Controlled Feeding Study of a Women's Health Initiative Cohort.

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

Review 6.  Research Strategies for Nutritional and Physical Activity Epidemiology and Cancer Prevention.

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

7.  Arsenic metabolism and one-carbon metabolism at low-moderate arsenic exposure: Evidence from the Strong Heart Study.

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

8.  Application of blood concentration biomarkers in nutritional epidemiology: example of carotenoid and tocopherol intake in relation to chronic disease risk.

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

9.  RESPONSE TO DISCUSSION OF 'NUTRITIONAL EPIDEMIOLOGY METHODS AND RELATED STATISTICAL CHALLENGES AND OPPORTUNITIES'.

Authors:  Ross L Prentice; Ying Huang
Journal:  Stat Theory Relat Fields       Date:  2018-07-11

Review 10.  STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1-Basic theory and simple methods of adjustment.

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

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