Innovative Biomarkers for Obesity and Type 1 Diabetes Based on Bifidobacterium and Metabolomic Profiling.
Angelica NobiliMarco PaneMariya SkvortsovaMeryam Ben SalemStephan MorgenthalerEmily JamiesonMarina Di StefanoEirini BathrellouEirini MamalakiVictoria Ramos-GarciaJulia KuligowskiMiltiadis VasileiadisPanagiotis GeorgiadisMarika FalconePaulo RefinettiPublished in: Microorganisms (2024)
The role of Bifidobacterium species and microbial metabolites such as short-chain fatty acids (SCFAs) and human milk oligosaccharides in controlling intestinal inflammation and the pathogenesis of obesity and type 1 diabetes (T1D) has been largely studied in recent years. This paper discusses the discovery of signature biomarkers for obesity and T1D based on data from a novel test for profiling several Bifidobacterium species, combined with metabolomic analysis. Through the NUTRISHIELD clinical study, a total of 98 children were recruited: 40 healthy controls, 40 type 1 diabetics, and 18 obese children. Bifidobacterium profiles were assessed in stool samples through an innovative test allowing high taxonomic resolution and precise quantification, while SCFAs and branched amino acids were measured in urine samples through gas chromatography-mass spectrometry (GC-MS). KIDMED questionnaires were used to evaluate the children's dietary habits and correlate them with the Bifidobacterium and metabolomic profiles. We found that B. longum subs. infantis and B. breve were higher in individuals with obesity, while B. bifidum and B. longum subs. longum were lower compared to healthy individuals. In individuals with T1D, alterations were found at the metabolic level, with an overall increase in the level of the most measured metabolites. The high taxonomic resolution of the Bifidobacterium test used meant strong correlations between the concentrations of valine and isoleucine, and the relative abundance of some Bifidobacterium species such as B. longum subs. infantis , B. breve , and B. bifidum could be observed.
Keyphrases
- type diabetes
- insulin resistance
- weight loss
- metabolic syndrome
- glycemic control
- human milk
- high fat diet induced
- weight gain
- young adults
- gas chromatography mass spectrometry
- cardiovascular disease
- fatty acid
- ms ms
- bariatric surgery
- small molecule
- skeletal muscle
- single cell
- body mass index
- mass spectrometry
- machine learning
- low birth weight
- single molecule
- electronic health record
- genetic diversity
- high throughput
- artificial intelligence
- gas chromatography
- liquid chromatography
- tandem mass spectrometry