Association between gut microbiota and ultra-processed foods consumption among the patients with type 2 diabetes: a cross-sectional study.

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Takahiro Ichikawa, Yoshitaka Hashimoto, Yusuke Igarashi, Sayaka Kawai, Ayumi Kaji, Ryosuke Sakai, Takafumi Osaka, Ryo Inoue, Saori Kashiwagi, Katsura Mizushima, Kazuhiko Uchiyama, Tomohisa Takagi, Yuji Naito, Masahide Hamaguchi, Michiaki Fukui
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引用次数: 0

Abstract

Background: This study aimed to explore the relationship between ultra-processed foods (UPFs) consumption and gut microbiota in patients with type 2 diabetes (T2D).

Methods: This cross-sectional study included 362 participants with T2D. UPFs consumption was assessed using a brief-type self-administered diet history questionnaire, quantified as the density of UPFs intake (g/1000 kcal). Gut microbial composition was evaluated via 16S rRNA gene sequencing. We investigated the association between gut microbiota, previously identified as relevant to T2D, and the density of UPFs intake using Spearman rank correlation coefficients. Multiple regression analysis, adjusting for age, sex, BMI, smoking status, exercise, and medication use, was conducted to further investigate these associations.

Results: The mean age of participants was 68 (63-74) years. The density of UPFs intake showed significant associations with Bifidobacterium (r = 0.11, p = 0.031), Lactobacillus (r = 0.11, p = 0.046), Ruminococcus (r = -0.12, p = 0.019), Roseburia (r = 0.11, p = 0.045). After adjusting for covariates in multiple regression analysis, Ruminococcus and Roseburia showed modest negative (β = -0.11, p = 0.038) and positive (β = 0.12, p = 0.033) correlations, with the density of UPFs intake among participants with T2D, respectively.

Conclusions: The density of UPFs intake was modestly inversely associated with Ruminococcus among patients with T2D and modestly positively associated with Roseburia.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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