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Unique Habitual Food Intakes in the Gut Microbiota Cluster Associated with Type 2 Diabetes Mellitus.

Yuriko KondoYoshitaka HashimotoYoshitaka HashimotoShinto AndoAyumi KajiRyosuke SakaiRyo InoueSaori KashiwagiKatsura MizushimaKazuhiko UchiyamaTomohisa TakagiYuji NaitoMichiaki Fukui
Published in: Nutrients (2021)
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.
Keyphrases
  • glycemic control
  • body mass index
  • type diabetes
  • cardiovascular disease
  • risk factors
  • electronic health record
  • adipose tissue
  • skeletal muscle
  • machine learning
  • weight gain
  • insulin resistance
  • weight loss
  • deep learning