Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension

Author:

Maruyama Satoko12,Matsuoka Tsubasa123ORCID,Hosomi Koji2,Park Jonguk4ORCID,Nishimura Mao12,Murakami Haruka5ORCID,Konishi Kana5,Miyachi Motohiko5ORCID,Kawashima Hitoshi4ORCID,Mizuguchi Kenji46ORCID,Kobayashi Toshiki1,Ooka Tadao3ORCID,Yamagata Zentaro3,Kunisawa Jun278910111213

Affiliation:

1. Research and Development Department, Hakubaku Co., Ltd., 4629, Nishihanawa, Chuo, Yamanashi 409-3843, Japan

2. Laboratory of Vaccine Materials, Center for Vaccine and Adjuvant Research and Laboratory of Gut Environmental System, Collaborative Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health, and Nutrition, 7-6-8, Saito-Asagi, Ibaraki 567-0085, Japan

3. Department of Health Sciences, School of Medicine, University of Yamanashi, 1110, Shimokato, Chuo, Yamanashi 409-3898, Japan

4. Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health, and Nutrition, 7-6-8, Saito-Asagi, Ibaraki 567-0085, Japan

5. Department of Physical Activity Research, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1, Toyama, Shinjuku-ku, Tokyo 162-8636, Japan

6. Institute for Protein Research, Osaka University, 3-2, Yamadaoka, Suita 565-0871, Japan

7. Department of Microbiology and Immunology, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Chuo-ku, Kobe 650-0017, Japan

8. Graduate Schools of Medicine, Osaka University, 2-2 Yamadaoka, Suita 565-0871, Japan

9. Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita 565-0871, Japan

10. Graduate School of Science, Osaka University, 1-1 Machikaneyamacho, Toyonaka 560-0043, Japan

11. Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka, Suita 565-0871, Japan

12. International Vaccine Design Center, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639, Japan

13. Research Organization for Nano and Life Innovation, Waseda University, 513, Waseda-tsurumaki-cho, Shinjuku-ku, Tokyo 162-0041, Japan

Abstract

Background: Barley, a grain rich in soluble dietary fiber β-glucan, is expected to lower blood pressure. Conversely, individual differences in its effects on the host might be an issue, and gut bacterial composition may be a determinant. Methods: Using data from a cross-sectional study, we examined whether the gut bacterial composition could explain the classification of a population with hypertension risks despite their high barley consumption. Participants with high barley intake and no occurrence of hypertension were defined as “responders” (n = 26), whereas participants with high barley intake and hypertension risks were defined as “non-responders” (n = 39). Results: 16S rRNA gene sequencing revealed that feces from the responders presented higher levels of Faecalibacterium, Ruminococcaceae UCG-013, Lachnospira, and Subdoligranulum and lower levels of Lachnoclostridium and Prevotella 9 than that from non-responders. We further created a machine-learning responder classification model using random forest based on gut bacteria with an area under the curve value of 0.75 for estimating the effect of barley on the development of hypertension. Conclusions: Our findings establish a link between the gut bacteria characteristics and the predicted control of blood pressure provided by barley intake, thereby providing a framework for the future development of personalized dietary strategies.

Funder

Japan Agency for Medical Research and Development

Ministry of Health and Welfare of Japan and the Public/Private R&D Investment Strategic Expansion PrograM

Publisher

MDPI AG

Subject

Virology,Microbiology (medical),Microbiology

Reference61 articles.

1. May Measurement Month 2017: An Analysis of Blood Pressure Screening Results Worldwide;Beaney;Lancet Glob. Health,2018

2. GBD 2017 RiskFactor Collaborators (2018). Global, Regional, and National Comparative Risk Assessment of 84 Behavioural, Environmental and Occupational, and Metabolic Risks or Clusters of Risks for 195 Countries and Territories, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet, 392, 1923–1994.

3. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update from the GBD 2019 Study;Roth;J. Am. Coll. Cardiol.,2020

4. Trans-ethnic Association Study of Blood Pressure Determinants in Over 750,000 Individuals;Giri;Nat. Genet.,2019

5. GBD 2017 Diet Collaborators (2019). Health Effects of Dietary Risks in 195 Countries, 1990–2017: A Systematic Analysis for the Global Burden of Disease Study 2017. Lancet, 393, 1958–1972.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3