Quantifying Gut Microbial Short-Chain Fatty Acids and Their Isotopomers in Mechanistic Studies Using a Rapid, Readily Expandable LC-MS Platform.
Cheng-Yu Charlie WengChristopher SuarezShawn Ehlers CheangGarret CoutureMichael L GoodsonMariana BarbozaKaren M KalanetraChad F MasarwehDavid A MillsHelen E RaybouldCarlito B LebrillaPublished in: Analytical chemistry (2024)
Short-chain fatty acids (SCFAs) comprise the largest group of gut microbial fermentation products. While absorption of most nutrients occurs in the small intestine, indigestible dietary components, such as fiber, reach the colon and are processed by the gut microbiome to produce a wide array of metabolites that influence host physiology. Numerous studies have implicated SCFAs as key modulators of host health, such as in regulating irritable bowel syndrome (IBS). However, robust methods are still required for their detection and quantitation to meet the demands of biological studies probing the complex interplay of the gut-host-health paradigm. In this study, a sensitive, rapid-throughput, and readily expandible UHPLC-QqQ-MS platform using 2-PA derivatization was developed for the quantitation of gut-microbially derived SCFAs, related metabolites, and isotopically labeled homologues. The utility of this platform was then demonstrated by investigating the production of SCFAs in cecal contents from mice feeding studies, human fecal bioreactors, and fecal/bacterial fermentations of isotopically labeled dietary carbohydrates. Overall, the workflow proposed in this study serves as an invaluable tool for the rapidly expanding gut-microbiome and precision nutrition research field.
Keyphrases
- ms ms
- irritable bowel syndrome
- fatty acid
- mass spectrometry
- case control
- healthcare
- liquid chromatography tandem mass spectrometry
- high throughput
- public health
- mental health
- endothelial cells
- small molecule
- high performance liquid chromatography
- microbial community
- type diabetes
- solid phase extraction
- multiple sclerosis
- liquid chromatography
- high resolution
- adipose tissue
- metabolic syndrome
- high fat diet induced
- risk assessment