Literature DB >> 18326607

Demographic, anthropometric, and lifestyle factors and dietary intakes in relation to daidzein-metabolizing phenotypes among premenopausal women in the United States.

Charlotte Atkinson1, Katherine M Newton, Erin J Aiello Bowles, Mellissa Yong, Johanna W Lampe.   

Abstract

BACKGROUND: The soy isoflavone daidzein is metabolized to equol and O-desmethylangolensin (ODMA) by intestinal bacteria in approximately 30-50% and 80-90% of persons, respectively. Studies suggest beneficial health effects associated with daidzein-metabolizing phenotypes; thus, assessing their determinants is an important goal.
OBJECTIVE: We evaluated relations between daidzein-metabolizing phenotypes and demographic, anthropometric, lifestyle, and dietary factors among premenopausal women in the United States.
DESIGN: Two hundred women provided a first-void urine sample after a 3-d soy challenge and completed a health and demographics questionnaire, physical activity questionnaire, food-frequency questionnaire, and 3-d food record. Urine samples were measured for isoflavones by gas chromatography-mass spectrometry to determine daidzein-metabolizing phenotypes.
RESULTS: Fifty-five (27.5%) and 182 (91%) women had detectable concentrations of urinary equol and ODMA (>87.5 ng/mL), respectively, and were classed as producers of these metabolites. Compared with nonproducers, equol producers were more likely (P < or = 0.05) to be Hispanic or Latino, to be highly educated, and to have frequent constipation, and ODMA producers were taller and less likely to be Asian than white. Equol and ODMA producers reported higher overall physical activity than did nonproducers.
CONCLUSIONS: We observed associations between equol production and ethnicity, education, constipation, and physical activity and between ODMA production and race, height, and physical activity. Associations with race and ethnicity were based on small numbers of Asian and Hispanic or Latino women, and confirmation of these findings is needed. Few dietary factors, assessed with the use of either a food-frequency questionnaire or food record, were associated with daidzein-metabolizing phenotypes.

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Year:  2008        PMID: 18326607     DOI: 10.1093/ajcn/87.3.679

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


  34 in total

1.  Cautions and research needs identified at the equol, soy, and menopause research leadership conference.

Authors:  Stephen Barnes; Helen Kim
Journal:  J Nutr       Date:  2010-05-26       Impact factor: 4.798

2.  Associations between polymorphisms in glucuronidation and sulfation enzymes and sex steroid concentrations in premenopausal women in the United States.

Authors:  Mellissa Yong; Stephen M Schwartz; Charlotte Atkinson; Karen W Makar; Sushma S Thomas; Frank Z Stanczyk; Kim C Westerlind; Katherine M Newton; Victoria L Holt; Wendy M Leisenring; Johanna W Lampe
Journal:  J Steroid Biochem Mol Biol       Date:  2010-12-28       Impact factor: 4.292

3.  Sources of cadmium exposure among healthy premenopausal women.

Authors:  Scott V Adams; Polly A Newcomb; Martin M Shafer; Charlotte Atkinson; Erin J Aiello Bowles; Katherine M Newton; Johanna W Lampe
Journal:  Sci Total Environ       Date:  2011-02-17       Impact factor: 7.963

4.  Associations between Dietary Intake of Fruits and Vegetables in relation to Urinary Estrogen DNA Adduct Ratio.

Authors:  Kerryn W Reding; Muhammad Zahid; Ercole Cavalieri; Eleanor G Rogan; Brianne S Raccor; Charlotte Atkinson; Mellissa Yong; Katherine M Newton; Johanna W Lampe
Journal:  Open J Prev Med       Date:  2014-06

Review 5.  Does equol production determine soy endocrine effects?

Authors:  Dana Shor; Thozhukat Sathyapalan; Stephen L Atkin; Natalie J Thatcher
Journal:  Eur J Nutr       Date:  2012-02-25       Impact factor: 5.614

6.  Daidzein-metabolizing phenotypes in relation to bone density and body composition among premenopausal women in the United States.

Authors:  Charlotte Atkinson; Katherine M Newton; Mellissa Yong; Frank Z Stanczyk; Kim C Westerlind; Lin Li; Johanna W Lampe
Journal:  Metabolism       Date:  2012-07-21       Impact factor: 8.694

7.  The soy isoflavone equol may increase cancer malignancy via up-regulation of eukaryotic protein synthesis initiation factor eIF4G.

Authors:  Columba de la Parra; Elisa Otero-Franqui; Michelle Martinez-Montemayor; Suranganie Dharmawardhane
Journal:  J Biol Chem       Date:  2012-10-24       Impact factor: 5.157

8.  Associations between endogenous sex hormone levels and mammographic and bone densities in premenopausal women.

Authors:  Mellissa Yong; Charlotte Atkinson; Katherine M Newton; Erin J Aiello Bowles; Frank Z Stanczyk; Kim C Westerlind; Victoria L Holt; Stephen M Schwartz; Wendy M Leisenring; Johanna W Lampe
Journal:  Cancer Causes Control       Date:  2009-03-12       Impact factor: 2.506

9.  Is equol the key to the efficacy of soy foods?

Authors:  Johanna W Lampe
Journal:  Am J Clin Nutr       Date:  2009-04-08       Impact factor: 7.045

10.  Sociodemographic and lifestyle variables are compound- and class-specific correlates of urine phytoestrogen concentrations in the U.S. population.

Authors:  Michael E Rybak; Maya R Sternberg; Christine M Pfeiffer
Journal:  J Nutr       Date:  2013-04-17       Impact factor: 4.798

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