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Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women

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  • Lucía Guadamuro

    (Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Departament of Microbiology and Biochemistry of Dairy Products, Paseo Río Linares s/n, 33300 Villaviciosa, Spain)

  • M. Andrea Azcárate-Peril

    (Division of Gastroenterology and Hepatology, and Microbiome Core, School of Medicine, Department of Medicine, University of North Carolina (UNC), Chapel Hill, NC 2759, USA)

  • Rafael Tojo

    (Gastroenterology Department, Cabueñes University Hospital, 33203 Gijón, Spain)

  • Baltasar Mayo

    (Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Departament of Microbiology and Biochemistry of Dairy Products, Paseo Río Linares s/n, 33300 Villaviciosa, Spain
    Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Avenida de Roma s/n, 33011 Oviedo, Spain)

  • Susana Delgado

    (Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Departament of Microbiology and Biochemistry of Dairy Products, Paseo Río Linares s/n, 33300 Villaviciosa, Spain
    Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Avenida de Roma s/n, 33011 Oviedo, Spain)

Abstract

Isoflavones are metabolized by components of the gut microbiota and can also modulate their composition and/or activity. This study aimed to analyze the modifications of the fecal microbial populations and their metabolites in menopausal women under dietary treatment with soy isoflavones for one month. Based on the level of urinary equol, the women had been stratified previously as equol-producers ( n = 3) or as equol non-producers ( n = 5). The composition of the fecal microbiota was assessed by high-throughput sequencing of 16S rRNA gene amplicons and the changes in fatty acid excretion in feces were analyzed by gas chromatography. A greater proportion of sequence reads of the genus Slackia was detected after isoflavone supplementation. Sequences of members of the family Lachnospiraceae and the genus Pseudoflavonifractor were significantly increased in samples from equol-producing women. Multivariable analysis showed that, after isoflavone treatment, the fecal microbial communities of equol producers were more like each other. Isoflavone supplementation increased the production of caproic acid, suggesting differential microbial activity, leading to a high fecal excretion of this compound. However, differences between equol producers and non-producers were not scored. These results may contribute to characterizing the modulating effect of isoflavones on the gut microbiota, which could lead to unravelling of their beneficial health effects.

Suggested Citation

  • Lucía Guadamuro & M. Andrea Azcárate-Peril & Rafael Tojo & Baltasar Mayo & Susana Delgado, 2021. "Impact of Dietary Isoflavone Supplementation on the Fecal Microbiota and Its Metabolites in Postmenopausal Women," IJERPH, MDPI, vol. 18(15), pages 1-11, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7939-:d:602416
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    1. Lawrence A. David & Corinne F. Maurice & Rachel N. Carmody & David B. Gootenberg & Julie E. Button & Benjamin E. Wolfe & Alisha V. Ling & A. Sloan Devlin & Yug Varma & Michael A. Fischbach & Sudha B. , 2014. "Diet rapidly and reproducibly alters the human gut microbiome," Nature, Nature, vol. 505(7484), pages 559-563, January.
    2. Peter J. Turnbaugh & Ruth E. Ley & Micah Hamady & Claire M. Fraser-Liggett & Rob Knight & Jeffrey I. Gordon, 2007. "The Human Microbiome Project," Nature, Nature, vol. 449(7164), pages 804-810, October.
    3. Justin L. Sonnenburg & Fredrik Bäckhed, 2016. "Diet–microbiota interactions as moderators of human metabolism," Nature, Nature, vol. 535(7610), pages 56-64, July.
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    Cited by:

    1. Diana Cardona & Pablo Roman, 2022. "New Perspectives in Health: Gut Microbiota," IJERPH, MDPI, vol. 19(10), pages 1-3, May.

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