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Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus
This cross-sectional study aimed to clarify the characteristic gut microbiota of Japanese patients with type 2 diabetes (T2DM) using t-distributed stochastic neighbor embedding analysis and the k-means method and to clarify the relationship with background data, including dietary habits. The gut mic...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621098/ https://www.ncbi.nlm.nih.gov/pubmed/34836072 http://dx.doi.org/10.3390/nu13113816 |
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author | Kondo, Yuriko Hashimoto, Yoshitaka Hamaguchi, Masahide Ando, Shinto Kaji, Ayumi Sakai, Ryosuke Inoue, Ryo Kashiwagi, Saori Mizushima, Katsura Uchiyama, Kazuhiko Takagi, Tomohisa Naito, Yuji Fukui, Michiaki |
author_facet | Kondo, Yuriko Hashimoto, Yoshitaka Hamaguchi, Masahide Ando, Shinto Kaji, Ayumi Sakai, Ryosuke Inoue, Ryo Kashiwagi, Saori Mizushima, Katsura Uchiyama, Kazuhiko Takagi, Tomohisa Naito, Yuji Fukui, Michiaki |
author_sort | Kondo, Yuriko |
collection | PubMed |
description | This cross-sectional study aimed to clarify the characteristic gut microbiota of Japanese patients with type 2 diabetes (T2DM) using t-distributed stochastic neighbor embedding analysis and the k-means method and to clarify the relationship with background data, including dietary habits. The gut microbiota data of 383 patients with T2DM and 114 individuals without T2DM were classified into red, blue, green, and yellow groups. The proportions of patients with T2DM in the red, blue, green, and yellow groups was 86.8% (112/129), 69.8% (81/116), 76.3% (90/118), and 74.6% (100/134), respectively; the red group had the highest prevalence of T2DM. There were no intergroup differences in sex, age, or body mass index. The red group had higher percentages of the Bifidobacterium and Lactobacillus genera and lower percentages of the Blautia and Phascolarctobacterium genera. Higher proportions of patients with T2DM in the red group used α-glucosidase inhibitors and glinide medications and had a low intake of fermented soybean foods, including miso soup, than those in the other groups. The gut microbiota pattern of the red group may indicate characteristic changes in the gut microbiota associated with T2DM in Japan. These results also suggest that certain diabetes drugs and fermented foods may be involved in this change. Further studies are needed to confirm the relationships among traditional dietary habits, the gut microbiota, and T2DM in Japan. |
format | Online Article Text |
id | pubmed-8621098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86210982021-11-27 Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus Kondo, Yuriko Hashimoto, Yoshitaka Hamaguchi, Masahide Ando, Shinto Kaji, Ayumi Sakai, Ryosuke Inoue, Ryo Kashiwagi, Saori Mizushima, Katsura Uchiyama, Kazuhiko Takagi, Tomohisa Naito, Yuji Fukui, Michiaki Nutrients Article This cross-sectional study aimed to clarify the characteristic gut microbiota of Japanese patients with type 2 diabetes (T2DM) using t-distributed stochastic neighbor embedding analysis and the k-means method and to clarify the relationship with background data, including dietary habits. The gut microbiota data of 383 patients with T2DM and 114 individuals without T2DM were classified into red, blue, green, and yellow groups. The proportions of patients with T2DM in the red, blue, green, and yellow groups was 86.8% (112/129), 69.8% (81/116), 76.3% (90/118), and 74.6% (100/134), respectively; the red group had the highest prevalence of T2DM. There were no intergroup differences in sex, age, or body mass index. The red group had higher percentages of the Bifidobacterium and Lactobacillus genera and lower percentages of the Blautia and Phascolarctobacterium genera. Higher proportions of patients with T2DM in the red group used α-glucosidase inhibitors and glinide medications and had a low intake of fermented soybean foods, including miso soup, than those in the other groups. The gut microbiota pattern of the red group may indicate characteristic changes in the gut microbiota associated with T2DM in Japan. These results also suggest that certain diabetes drugs and fermented foods may be involved in this change. Further studies are needed to confirm the relationships among traditional dietary habits, the gut microbiota, and T2DM in Japan. MDPI 2021-10-27 /pmc/articles/PMC8621098/ /pubmed/34836072 http://dx.doi.org/10.3390/nu13113816 Text en © 2021 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 Kondo, Yuriko Hashimoto, Yoshitaka Hamaguchi, Masahide Ando, Shinto Kaji, Ayumi Sakai, Ryosuke Inoue, Ryo Kashiwagi, Saori Mizushima, Katsura Uchiyama, Kazuhiko Takagi, Tomohisa Naito, Yuji Fukui, Michiaki Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title | Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title_full | Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title_fullStr | Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title_full_unstemmed | Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title_short | Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus |
title_sort | unique habitual food intakes in the gut microbiota cluster associated with type 2 diabetes mellitus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621098/ https://www.ncbi.nlm.nih.gov/pubmed/34836072 http://dx.doi.org/10.3390/nu13113816 |
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