Distinct signatures of gut microbiota and metabolites in different types of diabetes: a population-based cross-sectional study.
EClinicalMedicine
; 62: 102132, 2023 Aug.
Article
en En
| MEDLINE
| ID: mdl-37593224
ABSTRACT
Background:
Patients with type 1 diabetes (T1D) and type 2 diabetes (T2D) present intestinal disturbances. Recent epidemiological data have showed that, worldwide, over half of newly diagnosed T1D patients were adults. However, the gut microbial alterations in adult-onset T1D are unclear. We aimed to identify the signatures of gut microbiota and metabolites in patients with adult-onset T1D systematically, comparing with T2D patients and healthy controls (HCs).Methods:
This study enrolled 218 subjects from February 2019 to April 2022 (discovery cohort 36 HCs, 51 patients with adult-onset T1D and 56 patients with T2D; validation cohort 28 HCs, 27 patients with adult-onset T1D and 20 patients with T2D). Gut microbial profiles of the study subjects were investigated by metagenomic sequencing, and their faecal and serum metabolites were measured with targeted metabolomics. The study was registered on ClinicalTrials.gov (NCT05252728).Findings:
Patients with adult-onset T1D had significant differences in the composition of bacteria and their metabolites, characterized by notable depletion of short-chain fatty acid-producing bacteria, especially Eubacterium rectale. This was associated with a severe loss of phenolic acids and their derivatives, including gallic acid (associated with glucose metabolism) and 3,4-dihydroxyhydrocinnamic acid (linked with glucose metabolism and pancreatic beta cell autoimmunity). A predictive model based on six bacteria and six metabolites simultaneously discriminated adult-onset T1D from T2D and HCs with high accuracy. Interestingly, bacterial-viral or bacterial-fungal trans-kingdom relationships, especially positive correlations between bacteriophages and beneficial bacteria, were significantly reduced in adult-onset T1D compared to HCs.Interpretation:
Adult-onset T1D patients exhibit unique changes in host-microbiota-metabolite interactions. Gut microbiota and metabolite-based algorithms could be used as additional tools for differential diagnosis of different types of diabetes and beyond.Funding:
National Key Research and Development Program of China, the National Natural Science Foundation of China.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
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Risk_factors_studies
Idioma:
En
Revista:
EClinicalMedicine
Año:
2023
Tipo del documento:
Article
País de afiliación:
China