Jemma Cleminson, Caroline Kerbiriou, Shona McKirdy, Lauren Beck, David I Campbell, Andrew R Gennery, Janet E Berrington, Konstantinos Gerasimidis, Christopher J Stewart
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引用次数: 0
Abstract
Introduction: Short-chain fatty acids (SCFAs) are microbial metabolites that play critical roles in health. As SCFAs are highly volatile molecules and ongoing bacterial metabolism in faecal samples collected can cause compositional shifts, quick SCFA preservation at the point of sample collection is of utmost importance for valid results.
Objectives: This study aimed to evaluate the OMNImet®•GUT kit as an immediate preservation method that stabilises SCFAs at room temperature compared to a standardised laboratory sodium hydroxide method.
Methods: Faecal samples from 12 participants were included. For each sample, 1 g faeces was aliquoted into 2.5 ml OMNImet®•GUT buffer and 1 g faeces was aliquoted into 2.5 ml sodium hydroxide (current laboratory method). SCFA profiles were quantified at zero, 24-, and 48-h using gas chromatography. SCFA profiles were compared across patients, preservation method, and time point.
Results: Results showed that most SCFA profiles were stable and comparable between methods. The sample donor explained the most variance and was the most significant factor associated with the SCFA profiles, independent of the collection kit or duration at room temperature (R2 = 0.761, P = 0.001). However, the type of preservation method was also statistically significant (R2 = 0.090, P < 0.001). Time did not significantly impact on SCFA profiles up to 48 h (P = 0.582).
Conclusion: These findings support OMNImet®•GUT as a practical alternative for SCFA preservation, particularly for multicentre studies where immediate sample collection can be logistically challenging, but it is important to use a consistent collection method within studies.
期刊介绍:
Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to:
metabolomic applications within man, including pre-clinical and clinical
pharmacometabolomics for precision medicine
metabolic profiling and fingerprinting
metabolite target analysis
metabolomic applications within animals, plants and microbes
transcriptomics and proteomics in systems biology
Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.