1. Gut Microbiome Composition and Serum Metabolome Profile Among Individuals With Spinal Cord Injury and Normal Glucose Tolerance or Prediabetes/Type 2 Diabetes
- Author
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Erika D. Womack, Amie McLain, Ceren Yarar-Fisher, Stephen Barnes, Landon Wilson, Jia Li, and Casey D. Morrow
- Subjects
Adult ,030506 rehabilitation ,Population ,Physiology ,Physical Therapy, Sports Therapy and Rehabilitation ,Type 2 diabetes ,Prediabetic State ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,RNA, Ribosomal, 16S ,Diabetes mellitus ,medicine ,Metabolome ,Humans ,Prediabetes ,education ,Spinal Cord Injuries ,education.field_of_study ,biology ,business.industry ,Rehabilitation ,Gastrointestinal Microbiome ,Akkermansia ,medicine.disease ,biology.organism_classification ,Cross-Sectional Studies ,Glucose ,Phenylacetylglutamine ,Diabetes Mellitus, Type 2 ,chemistry ,0305 other medical science ,business ,030217 neurology & neurosurgery - Abstract
Objective To compare the gut microbiome composition and serum metabolome profile among individuals with spinal cord injury (SCI) and normal glucose tolerance (NGT) or prediabetes/type 2 diabetes (preDM/T2D). Design Cross-sectional design. Setting Research university. Participants A total of 25 adults (N=25) with SCI were included in the analysis and categorized as NGT (n=16) or preDM/T2D (n=9) based on their glucose concentration at minute 120 during a 75-g oral glucose tolerance test. The American Diabetes Association diagnosis guideline was used for grouping participants. Interventions Not applicable. Main Outcome Measures A stool sample was collected and used to assess the gut microbiome composition (alpha and beta diversity, microbial abundance) via the 16s ribosomal RNA sequencing technique. A fasting serum sample was used for liquid chromatography–mass spectrometry–based untargeted metabolomics analysis, the results from which reflect the relative quantity of metabolites detected and identified. Gut microbiome and metabolomics data were analyzed by the Quantitative Insights into Microbial Ecology 2 and Metaboanalyst platforms, respectively. Results Gut microbiome alpha diversity (Pielou's evenness index, Shannon's index) and beta diversity (weighted UniFrac distances) differed between groups. Compared with participants with NGT, participants with preDM/T2D had less evenness in microbial communities. In particular, those with preDM/T2D had a lower abundance of the Clostridiales order and higher abundance of the Akkermansia genus, as well as higher serum levels of gut-derived metabolites, including indoxyl sulfate and phenylacetylglutamine (P Conclusions Our results provide evidence for altered gut microbiome composition and dysregulation of gut-derived metabolites in participants with SCI and preDM/T2D. Both indoxyl sulfate and phenylacetylglutamine have been implicated in the development of cardiovascular diseases in the able-bodied population. These findings may inform future investigations in the field of SCI and cardiometabolic health.
- Published
- 2022