Effect of Different Functional Food Supplements on the Gut Microbiota of Prediabetic Indonesian Individuals during Weight Loss

• Published in: Nutrients 2022-02, Vol.14 (4), p.781
• Main Authors: Surono, Ingrid S, Simatupang, Abraham, Kusumo, Pratiwi D, Waspodo, Priyo, Verbruggen, Sanne, Verhoeven, Jessica, Venema, Koen
• Format: Article
• Language: English
• Subjects: beetroot; Body weight loss; Composition; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2; Dietary Supplements; Feces; Flavonoids; Flour; Food; Functional Food; Functional foods & nutraceuticals; Gastrointestinal Microbiome; Glucose; gut microbiota; Humans; Indonesia; Ingestion; Insulin; Intervention; Intestinal microflora; L. plantarum IS-10506; Metabolism; Microbiota; Next-generation sequencing; Polyphenols; prediabetes; Prediabetic State; probiotic; Probiotics; RNA, Ribosomal, 16S - genetics; rRNA 16S; Sample size; Statistical analysis; Statistical methods; Taro; Triticum - genetics; Weight control; Weight Loss
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14040781

The gut microbiota has been shown in recent years to be involved in the development and severity of type 2 diabetes (T2D). The aim of the present study was to test the effect of a 2-week functional food intervention on the gut microbiota composition in prediabetic individuals. A randomized double-blind, cross-over trial was conducted on prediabetic subjects. Fifteen volunteers were provided products made of: (i) 50% taro flour + 50% wheat flour; (ii) these products and the probiotic IS-10506; or (iii) these products with beetroot adsorbed for a period of 2 weeks with 2 weeks wash-out in between. Stool and blood samples were taken at each baseline and after each of the interventions. The gut microbiota composition was evaluated by sequencing the V3-V4 region of the 16S rRNA gene and anthropometric measures were recorded. The total weight loss over the entire period ranged from 0.5 to 11 kg. The next-generation sequencing showed a highly personalized microbiota composition. In the principal coordinate analyses, the samples of each individual clustered closer together than the samples of each treatment. For six individuals, the samples clustered closely together, indicating a stable microbiota. For nine individuals, the microbiota was less resilient and, depending on the intervention, the beta-diversity transiently differed greatly only to return to the composition close to the baseline during the wash-out. The statistical analyses showed that 202 of the total 304 taxa were significantly different between the participants. Only could be correlated with taro ingestion. The results of the study show that the highly variable interindividual variation observed in the gut microbiota of the participants clouded any gut microbiota modulation that might be present due to the functional food interventions.