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Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension

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...

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Autores principales: Maruyama, Satoko, Matsuoka, Tsubasa, Hosomi, Koji, Park, Jonguk, Nishimura, Mao, Murakami, Haruka, Konishi, Kana, Miyachi, Motohiko, Kawashima, Hitoshi, Mizuguchi, Kenji, Kobayashi, Toshiki, Ooka, Tadao, Yamagata, Zentaro, Kunisawa, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223911/
https://www.ncbi.nlm.nih.gov/pubmed/37317220
http://dx.doi.org/10.3390/microorganisms11051246
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author Maruyama, Satoko
Matsuoka, Tsubasa
Hosomi, Koji
Park, Jonguk
Nishimura, Mao
Murakami, Haruka
Konishi, Kana
Miyachi, Motohiko
Kawashima, Hitoshi
Mizuguchi, Kenji
Kobayashi, Toshiki
Ooka, Tadao
Yamagata, Zentaro
Kunisawa, Jun
author_facet Maruyama, Satoko
Matsuoka, Tsubasa
Hosomi, Koji
Park, Jonguk
Nishimura, Mao
Murakami, Haruka
Konishi, Kana
Miyachi, Motohiko
Kawashima, Hitoshi
Mizuguchi, Kenji
Kobayashi, Toshiki
Ooka, Tadao
Yamagata, Zentaro
Kunisawa, Jun
author_sort Maruyama, Satoko
collection PubMed
description 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.
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spelling pubmed-102239112023-05-28 Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension Maruyama, Satoko Matsuoka, Tsubasa Hosomi, Koji Park, Jonguk Nishimura, Mao Murakami, Haruka Konishi, Kana Miyachi, Motohiko Kawashima, Hitoshi Mizuguchi, Kenji Kobayashi, Toshiki Ooka, Tadao Yamagata, Zentaro Kunisawa, Jun Microorganisms Article 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. MDPI 2023-05-09 /pmc/articles/PMC10223911/ /pubmed/37317220 http://dx.doi.org/10.3390/microorganisms11051246 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maruyama, Satoko
Matsuoka, Tsubasa
Hosomi, Koji
Park, Jonguk
Nishimura, Mao
Murakami, Haruka
Konishi, Kana
Miyachi, Motohiko
Kawashima, Hitoshi
Mizuguchi, Kenji
Kobayashi, Toshiki
Ooka, Tadao
Yamagata, Zentaro
Kunisawa, Jun
Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title_full Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title_fullStr Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title_full_unstemmed Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title_short Characteristic Gut Bacteria in High Barley Consuming Japanese Individuals without Hypertension
title_sort characteristic gut bacteria in high barley consuming japanese individuals without hypertension
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223911/
https://www.ncbi.nlm.nih.gov/pubmed/37317220
http://dx.doi.org/10.3390/microorganisms11051246
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