Details

Autor(en) / Beteiligte

• Hiseni, Pranvera
• Snipen, Lars
• Wilson, Robert C
• Furu, Kari
• Hegge, Finn Terje
• Rudi, Knut

Titel

Prediction of high fecal propionate-to-butyrate ratios using 16S rRNA-based detection of bacterial groups with liquid array diagnostics

Ist Teil von

• BioTechniques, 2023-01, Vol.74 (1), p.9-21

Ort / Verlag

England: Future Science Ltd

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• Butyrate and propionate represent two of three main short-chain fatty acids produced by the intestinal microbiota. In healthy populations, their levels are reportedly equimolar, whereas a deviation in their ratio has been observed in various diseased cohorts. Monitoring such a ratio represents a valuable metric; however, it remains a challenge to adopt short-chain fatty acid detection techniques in clinical settings because of the volatile nature of these acids. Here we aimed to estimate short-chain fatty acid information indirectly through a novel, simple quantitative PCR-compatible assay (liquid array diagnostics) targeting a limited number of microbiome 16S markers. Utilizing 15 liquid array diagnostics probes to target microbiome markers selected by a model that combines partial least squares and linear discriminant analysis, the classes (normal vs high propionate-to-butyrate ratio) separated at a threshold of 2.6 with a prediction accuracy of 96%. We present a quantitative PCR-compatible test based on the liquid array diagnostics method to be used as a tool for detecting/classifying fecal samples with an atypically high propionate-to-butyrate ratio. The liquid array diagnostics-based test presented here targets the 16S rRNA gene of a limited number of bacterial markers to infer their presence and abundance in fecal samples. The classification of samples (normal vs high propionate-to-butyrate ratio) is performed utilizing an algorithm combining partial least squares and linear discriminant analysis.