Fitness for purpose of stabilized stool samples for bile acid metabolite analyses
Neuberger-Castillo et al.
The finding, in our words
OMNIgene·GUT stabilised stool gave detectable total bile acid concentrations but differed significantly from snap frozen samples; however, relative concentrations of cholanic, chenodeoxycholic, deoxycholic and lithocholic acids correlated well with a 30 per cent acceptability bias, supporting its use for decentralised bile acid profiling.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
An ambient-temperature DNA Genotek device recovered 94.5% of the metabolites seen in flash-frozen aliquots with strong agreement: room-temperature stabilisation can stand in for immediate freezing.
Comparison of six stool collection methods in healthy volunteers found OMNIgene Gut, FOBT cards, RNAlater and Microlution were reliable for metagenomics, whereas 95% ethanol best preserved metabolite profiles; the authors recommend using separate collection methods for different analytical aims in large population studies.
FTA cards and OMNIgene GUT demonstrated strong concordance with immediate freezing for gut microbiome diversity and short-chain fatty acid measurements, while ethanol preserved the most metabolites overall. These stabilised collection methods enable reliable, decentralised stool sampling for large-scale microbiome and metabolomics studies.
This study compared OMNIgene Gut tubes and FTA cards for stool collection in a deployed setting, finding that OMNIgene yielded higher nucleic acid concentrations while both methods detected the majority of microbial genera. The authors conclude that distinct microbial abundance profiles between the two methods necessitate standardised protocols for field research.
This study compared two preservatives for stool samples and found that OMNIgene GUT OMR-200 produced less variation in metagenomic taxonomic data across different storage temperatures, supporting its use in decentralised field studies. The authors recommend absolute quantification to address bias in microbial measurements.