Considerations for peripheral blood transport and storage during large-scale multicentre metabolome research

Article Gastroenterology & Hepatology

Integrated metagenomic and metabolomic analysis reveals distinct gut-microbiome-derived phenotypes in early-onset colorectal cancer

Cheng Kong et al.

Summary: This study investigated the interactions between gut microbiome, metabolites, and microbial enzymes in early-onset colorectal cancer (EO-CRC) patients. The results showed distinct associations between microbiome and metabolome in EO-CRC compared to late-onset CRC (LO-CRC). The study identified potential biomarkers for EO-CRC and achieved a powerful classification performance for distinguishing EO-CRC from controls. This research provides valuable insights into the pathogenesis of EO-CRC and highlights the potential of microbiome-derived biomarkers for non-invasive detection.

GUT (2023)

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Article Gastroenterology & Hepatology

Integrated analysis of the faecal metagenome and serum metabolome reveals the role of gut microbiome-associated metabolites in the detection of colorectal cancer and adenoma

Feng Chen et al.

Summary: By integrating untargeted serum metabolomics and metagenome sequencing, this study identified 8 gut microbiome-associated serum metabolites that accurately distinguished CRC and adenoma. The model based on these metabolites showed high diagnostic accuracy for CRC and adenoma, outperforming traditional clinical markers like carcinoembryonic antigen. This suggests that gut microbiome-associated metabolites have potential applications in detecting CRC and adenoma.

GUT (2022)

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Article Microbiology

An ambient-temperature storage and stabilization device performs comparably to flash-frozen collection for stool metabolomics in infants

Sivapriya Ramamoorthy et al.

Summary: The study found that the OMNImet.GUT device for ambient temperature storage and stabilization of feces produced comparable metabolomic results to flash freezing, including similar metabolite identities and abundances, distinctive metabolomic profiles of subjects, and consistent changes in metabolites over time. This method potentially offers a more convenient and cost-effective option for home collection and storage for stool metabolomic analysis.

BMC MICROBIOLOGY (2021)

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Article Biochemical Research Methods

peakPantheR, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC-MS profiling datasets

Arnaud M. Wolfer et al.

Summary: peakPantheR is an R package designed for targeted extraction and integration of annotated features from LC-MS profiling experiments. It utilizes chromatographic and spectral databases as well as prior information of sample matrix composition to generate interpretable metabolic phenotypic datasets and power workflows for real-time data quality assessment.

BIOINFORMATICS (2021)

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Article Biochemical Research Methods