4.8 Article

High-risk genotypes for type 1 diabetes are associated with the imbalance of gut microbiome and serum metabolites

期刊

FRONTIERS IN IMMUNOLOGY
卷 13, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2022.1033393

关键词

type 1 diabetes mellitus; human leukocyte antigen; gut microbiota; serum metabolites; serum lipids

资金

  1. National Natural science foundation
  2. Anhui Provincial Natural science foundation
  3. National Key RD Program
  4. Guangdong Basic and Applied Basic Research Foundation
  5. [82100822]
  6. [2008085MH248]
  7. [2008085MH278]
  8. [2017YFC1309600]
  9. [2019A1515010979]

向作者/读者索取更多资源

This study aimed to investigate the characteristics of gut microbiota, serum metabolites, and lipids in type 1 diabetes (T1D) patients with different human leukocyte antigen (HLA) genotypes.
BackgroundThe profile of gut microbiota, serum metabolites, and lipids of type 1 diabetes (T1D) patients with different human leukocyte antigen (HLA) genotypes remains unknown. We aimed to explore gut microbiota, serum metabolites, and lipids signatures in individuals with T1D typed by HLA genotypes. MethodsWe did a cross-sectional study that included 73 T1D adult patients. Patients were categorized into two groups according to the HLA haplotypes they carried: those with any two of three susceptibility haplotypes (DR3, DR4, DR9) and without any of the protective haplotypes (DR8, DR11, DR12, DR15, DR16) were defined as high-risk HLA genotypes group (HR, n=30); those with just one or without susceptibility haplotypes as the non-high-risk HLA genotypes group (NHR, n=43). We characterized the gut microbiome profile with 16S rRNA gene amplicon sequencing and analyzed serum metabolites with liquid chromatography-mass spectrometry. ResultsStudy individuals were 32.5 (8.18) years old, and 60.3% were female. Compared to NHR, the gut microbiota of HR patients were characterized by elevated abundances of Prevotella copri and lowered abundances of Parabacteroides distasonis. Differential serum metabolites (hypoxanthine, inosine, and guanine) which increased in HR were involved in purine metabolism. Different lipids, phosphatidylcholines and phosphatidylethanolamines, decreased in HR group. Notably, Parabacteroides distasonis was negatively associated (p <= 0.01) with hypoxanthine involved in purine metabolic pathways. ConclusionsThe present findings enabled a better understanding of the changes in gut microbiome and serum metabolome in T1D patients with HLA risk genotypes. Alterations of the gut microbiota and serum metabolites may provide some information for distinguishing T1D patients with different HLA risk genotypes.

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