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Original articles

Characteristics of gut microbiota in adult patients with type 1 and type 2 diabetes based on next‑generation sequencing of the 16S rRNA gene fragment

Dominika Salamon, Agnieszka Sroka-Oleksiak, Przemysław Kapusta, Magdalena Szopa, Sandra Mrozińska, Agnieszka Ludwig-Słomczyńska, Paweł Wołkow, Małgorzata Bulanda, Tomasz Klupa, Maciej Małecki, Tomasz Gosiewski
DOI: 10.20452/pamw.4246
Published online: April 15, 2018
CCBYNCSACC BY-NC-SA 4.0

Abstract

Introduction: Scientific data indicate a possible influence of gut microbiota on the development of type 1 and type 2 diabetes mellitus (T1DM and T2DM, respectively). Sequence analysis of 16S ribosomal RNA identified several hundred bacterial species of the intestinal ecosystem, most of which cannot be cultured.

Objectives: We aimed to evaluate gut microbiota composition in adult patients with T1DM and T2DM and establish a link between microbiological test results and patients’ clinical data.

Patients and methods: We examined DNA isolated from fecal samples in 3 groups: healthy volunteers (n = 23), patients with T1DM (n = 22), and patients with T2DM (n = 23). Next‑generation sequencing was performed on the MiSeq platform.

Results: At the phylum level, the Firmicutes bacteria prevailed (>77%) in all groups. At the taxonomic levels L2 (phylum) and L6 (genus), significant differences were demonstrated in bacterial profiles, particularly in the T2DM group. A negative correlation was observed between several genera of bacteria and the percentage of glycated hemoglobin A1c in the T2DM group, while a positive correlation was revealed between bacteria belonging to the genus Bifidobacterium and high‑density lipoprotein cholesterol levels in both T1DM and T2DM groups.

Conclusions: Our results provide grounds for conducting research in the field of gut microbiota in order to develop individualized therapy for patients with diabetes based on modifying the microbiota composition, as a new method for controlling glycemia. Next‑generation sequencing allows a rapid identification of the DNA of all bacteria present in the sample and their taxonomic classification.

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