Associations of the Fecal Microbiome With Urinary Estrogens and Estrogen Metabolites in Postmenopausal Women
Barbara J. Fuhrman, Heather Spencer Feigelson, Roberto Flores, Mitchell H. Gail, Xia Xu, Jacques Ravel, and James J. Goedert
Received: May 02, 2014
Accepted: August 07, 2014
Published Online: September 11, 2014
Abstract
Context:
The gut microbiota may influence the risk of breast cancer through effects on endogenous estrogens.
Objective:
The objective of the study was to investigate whether urinary estrogens and estrogen metabolites are associated with the diversity and composition of the fecal microbiome.
Design and Setting:
This was a cross-sectional study among women enrolled in Kaiser Permanente of Colorado.
Participants:
A total of 60 women drawn from a random sample of healthy postmenopausal women (aged 55–69 y), without current or recent use of antibiotics or hormone therapy and no history of cancer or gastrointestinal disease participated in the study.
Outcome Measures and Methods:
Creatinine-standardized urinary estrogens (estrone and estradiol) and 13 hydroxylated estrogen metabolites were measured in spot urines by liquid chromatography-tandem mass spectrometry. The fecal microbiome was assessed using pyrosequencing of 16S rRNA amplicons. General linear models were used to test for associations of diversity and composition of the fecal microbiome with parent estrogen (estrone + estradiol), total estrogens, and estrogen metabolites and the ratio of estrogen metabolites to parent estrogen, which has been predictive of postmenopausal breast cancer risk in previous studies.
Results:
The ratio of metabolites to parents was directly associated with whole-tree phylogenetic diversity (R = 0.35, P= .01). Relative abundances of the order Clostridiale (R = 0.32, P= .02) and the genus Bacteroides (R = -0.30, P= .03) were also correlated with the ratio of metabolites to parents. Associations were independent of age, body mass index, and study design factors.
Affiliations
- Department of Epidemiology (B.J.F.), Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205; Divisions of Cancer Epidemiology and Genetics (B.J.F., R.F., N.H.G., J.J.G.) and Cancer Prevention (R.F.), National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892-9704; Institute for Health Research (H.S.F.), Kaiser Permanente Colorado, Denver, Colorado 80231; Cancer Research Technology Program (X.X.), Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702; and Institute for Genome Sciences (J.R.), University of Maryland, Baltimore, Maryland 21201
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