Literature DB >> 34763731

Metabolomics profiles of premenopausal women are different based on O-desmethylangolensin metabotype.

Cara L Frankenfeld1,2, Gertraud Maskarinec3, Adrian A Franke3.   

Abstract

Urinary O-desmethylangolensin (ODMA) concentrations provide a functional gut microbiome marker of dietary isoflavone daidzein metabolism to ODMA. Individuals who do not have gut microbial environments that produce ODMA have less favourable cardiometabolic and cancer risk profiles. Urinary metabolomics profiles were evaluated in relation to ODMA metabotypes within and between individuals over time. Secondary analysis of data was conducted from the BEAN2 trial, which was a cross-over study of premenopausal women consuming 6 months on a high and a low soya diet, each separated by a 1-month washout period. In all of the 672 samples in the study, sixty-six of the eighty-four women had the same ODMA metabotype at seven or all eight time points. Two or four urine samples per woman were selected based on temporal metabotypes in order to compare within and across individuals. Metabolomics assays for primary metabolism and biogenic amines were conducted in sixty urine samples from twenty women. Partial least-squares discriminant analysis was used to compare metabolomics profiles. For the same ODMA metabotype across different time points, no profile differences were detected. For changes in metabotype within individuals and across individuals with different metabotypes, distinct metabolomes emerged. Influential metabolites (variables importance in projection score > 2) included several phenolic compounds, carnitine and derivatives, fatty acid and amino acid metabolites and some medications. Based on the distinct metabolomes of producers v. non-producers, the ODMA metabotype may be a marker of gut microbiome functionality broadly involved in nutrient and bioactive metabolism and should be evaluated for relevance to precision nutrition initiatives.

Entities:  

Keywords:  Equol; Isoflavones; Metabolomics; Microbiome; O-desmethylangolensin

Year:  2021        PMID: 34763731      PMCID: PMC9095764          DOI: 10.1017/S0007114521004463

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   4.125


  53 in total

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Authors:  Kenneth D R Setchell; Carlo Clerici
Journal:  J Nutr       Date:  2010-06-02       Impact factor: 4.798

2.  Use of metabotyping for the delivery of personalised nutrition.

Authors:  Clare B O'Donovan; Marianne C Walsh; Anne P Nugent; Breige McNulty; Janette Walton; Albert Flynn; Michael J Gibney; Eileen R Gibney; Lorraine Brennan
Journal:  Mol Nutr Food Res       Date:  2014-12-18       Impact factor: 5.914

3.  Obesity prevalence in relation to gut microbial environments capable of producing equol or O-desmethylangolensin from the isoflavone daidzein.

Authors:  C L Frankenfeld; C Atkinson; K Wähälä; J W Lampe
Journal:  Eur J Clin Nutr       Date:  2014-02-26       Impact factor: 4.016

4.  Prevalence of daidzein-metabolizing phenotypes differs between Caucasian and Korean American women and girls.

Authors:  Kyung Bin Song; Charlotte Atkinson; Cara L Frankenfeld; Tuija Jokela; Kristiina Wähälä; Wendy K Thomas; Johanna W Lampe
Journal:  J Nutr       Date:  2006-05       Impact factor: 4.798

5.  Characterization of an O-desmethylangolensin-producing bacterium isolated from human feces.

Authors:  Shin-ichiro Yokoyama; Toshio Niwa; Toshihiko Osawa; Tohru Suzuki
Journal:  Arch Microbiol       Date:  2009-11-11       Impact factor: 2.552

6.  Serum steroid hormones, sex hormone-binding globulin concentrations, and urinary hydroxylated estrogen metabolites in post-menopausal women in relation to daidzein-metabolizing phenotypes.

Authors:  Cara L Frankenfeld; Anne McTiernan; Shelley S Tworoger; Charlotte Atkinson; Wendy K Thomas; Frank Z Stanczyk; Santica M Marcovina; David S Weigle; Noel S Weiss; Victoria L Holt; Stephen M Schwartz; Johanna W Lampe
Journal:  J Steroid Biochem Mol Biol       Date:  2004-04       Impact factor: 4.292

7.  Metabolism of isoflavones and lignans by the gut microflora: a study in germ-free and human flora associated rats.

Authors:  E Bowey; H Adlercreutz; I Rowland
Journal:  Food Chem Toxicol       Date:  2003-05       Impact factor: 6.023

8.  Individuality and temporal stability of the human gut microbiome.

Authors:  Shinichi Sunagawa; Siegfried Schloissnig; Manimozhiyan Arumugam; Kristoffer Forslund; Makedonka Mitreva; Julien Tap; Ana Zhu; Alison Waller; Daniel R Mende; Jens Roat Kultima; John Martin; Karthik Kota; Shamil R Sunyaev; Athanasios Typas; George M Weinstock; Peer Bork
Journal:  Cent Asian J Glob Health       Date:  2014-03-27

9.  Polyphenol-Rich Foods for Human Health and Disease.

Authors:  María-Teresa García-Conesa; Mar Larrosa
Journal:  Nutrients       Date:  2020-02-03       Impact factor: 5.717

10.  Genomic variation landscape of the human gut microbiome.

Authors:  Siegfried Schloissnig; Manimozhiyan Arumugam; Shinichi Sunagawa; Makedonka Mitreva; Julien Tap; Ana Zhu; Alison Waller; Daniel R Mende; Jens Roat Kultima; John Martin; Karthik Kota; Shamil R Sunyaev; George M Weinstock; Peer Bork
Journal:  Nature       Date:  2012-12-05       Impact factor: 49.962

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  2 in total

1.  Production of indole and hydrogen sulfide by the oxygen-tolerant mutant strain Clostridium sp. Aeroto-AUH-JLC108 contributes to form a hypoxic microenvironment.

Authors:  Yu-Xia Liu; Shi-Juan Dou; Meng Li; Xiu-Ling Wang
Journal:  Arch Microbiol       Date:  2022-07-14       Impact factor: 2.667

2.  Lunularin Producers versus Non-producers: Novel Human Metabotypes Associated with the Metabolism of Resveratrol by the Gut Microbiota.

Authors:  Carlos E Iglesias-Aguirre; Fernando Vallejo; David Beltrán; Elena Aguilar-Aguilar; Julio Puigcerver; Mateo Alajarín; José Berná; María V Selma; Juan Carlos Espín
Journal:  J Agric Food Chem       Date:  2022-08-18       Impact factor: 5.895

  2 in total

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