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Multi-omics signatures in new-onset diabetes predict metabolic response to dietary inulin: findings from an observational study followed by an interventional trial
- 1.0572156 - MBÚ 2024 RIV DE eng J - Článek v odborném periodiku
Ďásková, N. - Modos, I. - Krbcová, K. - Kuzma, Marek - Pelantová, Helena - Hradecký, J. - Heczková, M. - Bratová, M. - Vídeňská, P. - Šplíchalová, P. - Králová, M. - Heniková, M. - Potočková, J. - Ouřadová, A. - Landberg, R. - Kuehn, T. - Cahová, M. - Gojda, J.
Multi-omics signatures in new-onset diabetes predict metabolic response to dietary inulin: findings from an observational study followed by an interventional trial.
Nutrition & Diabetes. Roč. 13, č. 1 (2023), č. článku 7. ISSN 2044-4052. E-ISSN 2044-4052
Grant CEP: GA MZd(CZ) NV18-01-00040
Institucionální podpora: RVO:61388971
Klíčová slova: Chain fatty-acidsgut microbiotainsulin-secretionfermentationmetagenomeincreasescapacitydilutionobesityfiber * Chain fatty-acidsgut microbiotainsulin-secretionfermentationmetagenomeincreasescapacitydilutionobesityfiber * Chain fatty-acids * insulin-secretion * fermentation * metagenome * increases * capacity * dilution * obesity * fiber
Obor OECD: Microbiology
Impakt faktor: 6.1, rok: 2022
Způsob publikování: Open access
https://www.nature.com/articles/s41387-023-00235-5
AimThe metabolic performance of the gut microbiota contributes to the onset of type 2 diabetes. However, targeted dietary interventions are limited by the highly variable inter-individual response. We hypothesized that the composition of the complex gut microbiome and metabolome (MIME) differ across metabolic spectra (lean-obese-diabetes), that specific MIME patterns could explain the differential responses to dietary inulin, and that the response can be predicted based on baseline MIME signature and clinical characteristics.MethodForty-nine patients with newly diagnosed pre/diabetes (DM), 66 metabolically healthy overweight/obese (OB), and 32 healthy lean (LH) volunteers were compared in a cross-sectional case-control study integrating clinical variables, dietary intake, gut microbiome, and fecal/serum metabolomes (16 S rRNA sequencing, metabolomics profiling). Subsequently, 27 DM were recruited for a predictive study: 3 months of dietary inulin (10 g/day) intervention.ResultsMIME composition was different between groups. While the DM and LH groups represented opposite poles of the abundance spectrum, OB was closer to DM. Inulin supplementation was associated with an overall improvement in glycemic indices, though the response was very variable, with a shift in microbiome composition toward a more favorable profile and increased serum butyric and propionic acid concentrations. The improved glycemic outcomes of inulin treatment were dependent on better baseline glycemic status and variables related to the gut microbiota, including the abundance of certain bacterial taxa (i.e., Blautia, Eubacterium halii group, Lachnoclostridium, Ruminiclostridium, Dialister, or Phascolarctobacterium), serum concentrations of branched-chain amino acid derivatives and asparagine, and fecal concentrations of indole and several other volatile organic compounds.ConclusionWe demonstrated that obesity is a stronger determinant of different MIME patterns than impaired glucose metabolism. The large inter-individual variability in the metabolic effects of dietary inulin was explained by differences in baseline glycemic status and MIME signatures. These could be further validated to personalize nutritional interventions in patients with newly diagnosed diabetes.
Trvalý link: https://hdl.handle.net/11104/0348026
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