IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i15p7939-d602416.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/15/7939/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/15/7939/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

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

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarah L Hagerty & Kent E Hutchison & Christopher A Lowry & Angela D Bryan, 2020. "An empirically derived method for measuring human gut microbiome alpha diversity: Demonstrated utility in predicting health-related outcomes among a human clinical sample," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-21, March.
    2. Lena Takayasu & Wataru Suda & Eiichiro Watanabe & Shinji Fukuda & Kageyasu Takanashi & Hiroshi Ohno & Misako Takayasu & Hideki Takayasu & Masahira Hattori, 2017. "A 3-dimensional mathematical model of microbial proliferation that generates the characteristic cumulative relative abundance distributions in gut microbiomes," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-20, August.
    3. Sean M Gibbons & Sean M Kearney & Chris S Smillie & Eric J Alm, 2017. "Two dynamic regimes in the human gut microbiome," PLOS Computational Biology, Public Library of Science, vol. 13(2), pages 1-20, February.
    4. Shilan Li & Jianxin Shi & Paul Albert & Hong-Bin Fang, 2022. "Dependence Structure Analysis and Its Application in Human Microbiome," Mathematics, MDPI, vol. 11(1), pages 1-14, December.
    5. Daphna Rothschild & Erez Dekel & Jean Hausser & Anat Bren & Guy Aidelberg & Pablo Szekely & Uri Alon, 2014. "Linear Superposition and Prediction of Bacterial Promoter Activity Dynamics in Complex Conditions," PLOS Computational Biology, Public Library of Science, vol. 10(5), pages 1-9, May.
    6. Jae-Chang Cho, 2021. "Human microbiome privacy risks associated with summary statistics," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-11, April.
    7. Joe J. Lim & Christian Diener & James Wilson & Jacob J. Valenzuela & Nitin S. Baliga & Sean M. Gibbons, 2023. "Growth phase estimation for abundant bacterial populations sampled longitudinally from human stool metagenomes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    8. Kenneth A. Wilson & Sudipta Bar & Eric B. Dammer & Enrique M. Carrera & Brian A. Hodge & Tyler A. U. Hilsabeck & Joanna Bons & George W. Brownridge & Jennifer N. Beck & Jacob Rose & Melia Granath-Pane, 2024. "OXR1 maintains the retromer to delay brain aging under dietary restriction," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    9. Pirjo Wacklin & Harri Mäkivuokko & Noora Alakulppi & Janne Nikkilä & Heli Tenkanen & Jarkko Räbinä & Jukka Partanen & Kari Aranko & Jaana Mättö, 2011. "Secretor Genotype (FUT2 gene) Is Strongly Associated with the Composition of Bifidobacteria in the Human Intestine," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-10, May.
    10. Yee Sang Wong & Nicholas John Osborne, 2022. "Biodiversity Effects on Human Mental Health via Microbiota Alterations," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    11. Weiyue Ji & Handuo Shi & Haoqian Zhang & Rui Sun & Jingyi Xi & Dingqiao Wen & Jingchen Feng & Yiwei Chen & Xiao Qin & Yanrong Ma & Wenhan Luo & Linna Deng & Hanchi Lin & Ruofan Yu & Qi Ouyang, 2013. "A Formalized Design Process for Bacterial Consortia That Perform Logic Computing," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    12. Disha Tandon & Mohammed Monzoorul Haque & Sharmila S Mande, 2016. "Inferring Intra-Community Microbial Interaction Patterns from Metagenomic Datasets Using Associative Rule Mining Techniques," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-16, April.
    13. Eric Z. Chen & Frederic D. Bushman & Hongzhe Li, 2017. "A Model-Based Approach for Species Abundance Quantification Based on Shotgun Metagenomic Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(1), pages 13-27, June.
    14. Sandra M. Holmberg & Rachel H. Feeney & Vishnu Prasoodanan P.K. & Fabiola Puértolas-Balint & Dhirendra K. Singh & Supapit Wongkuna & Lotte Zandbergen & Hans Hauner & Beate Brandl & Anni I. Nieminen & , 2024. "The gut commensal Blautia maintains colonic mucus function under low-fiber consumption through secretion of short-chain fatty acids," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    15. Iris Chen & Yogeshwar D Kelkar & Yu Gu & Jie Zhou & Xing Qiu & Hulin Wu, 2017. "High-dimensional linear state space models for dynamic microbial interaction networks," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-20, November.
    16. Joanna F Dipnall & Julie A Pasco & Michael Berk & Lana J Williams & Seetal Dodd & Felice N Jacka & Denny Meyer, 2016. "Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-19, December.
    17. Vinod Nikhra, 2019. "Therapeutic Potential of Gut Microbiome Manipulation: Concepts in Fecal Microbiota Transplantation," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 11(1), pages 1-9, June.
    18. Zhenqiu Liu & Dechang Chen & Li Sheng & Amy Y Liu, 2013. "Class Prediction and Feature Selection with Linear Optimization for Metagenomic Count Data," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-7, March.
    19. Charles K Fisher & Thierry Mora & Aleksandra M Walczak, 2017. "Variable habitat conditions drive species covariation in the human microbiota," PLOS Computational Biology, Public Library of Science, vol. 13(4), pages 1-18, April.
    20. Huimin Ye & Sabrina Borusak & Claudia Eberl & Julia Krasenbrink & Anna S. Weiss & Song-Can Chen & Buck T. Hanson & Bela Hausmann & Craig W. Herbold & Manuel Pristner & Benjamin Zwirzitz & Benedikt War, 2023. "Ecophysiology and interactions of a taurine-respiring bacterium in the mouse gut," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7939-:d:602416. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.