Standardization of Fecal Metabolomics Using Microbiome Preservation Kits: Implications for Multiomics Integration

With the advancement of multiomics technologies and cohort study designs, integrative omics research is increasingly applied to human health and nutrition. However, optimal storage and preprocessing of labile biological samples, particularly feces, remain challenging. In this study, we systematically evaluated three normalization methods-wet weight, dry weight, and protein quantification-for quantitative metabolomic profiling of fecal samples, using 41 metabolites. Fresh fecal samples from three healthy individuals showed high reproducibility, with 24 metabolites exhibiting a coefficient of variation (CV) below 30 for both wet and dry weight normalization. Fecal samples from 20 obese patients collected using the OMNIgene·GUT kit demonstrated improved reproducibility with wet weight normalization (20 metabolites, CV < 30) and protein quantification normalization (19 metabolites, CV < 30), whereas dry weight normalization yielded no metabolites meeting the CV < 30 criterion. Direct analysis of the kit solution without a drying step further enhanced chromatographic clarity, highlighting practical considerations for large-scale studies. Overall, wet weight normalization consistently minimized variation across sample types, providing a robust and standardized framework for fecal metabolite profiling. These findings demonstrate that the OMNIgene·GUT kit is compatible with broad-spectrum metabolomic analyses and support its integration into multiomics workflows. By establishing reproducible normalization protocols, this study provides the foundation for accurate, comparable, and scalable fecal metabolomics in both clinical and nutritional research settings.

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Publication Details

Journal
International Journal of Analytical Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1155/ianc/8551545
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Standardization of Fecal Metabolomics Using Microbiome Preservation Kits: Implications for Multiomics Integration

Ho‐Young Park, Hye Hyun Yoo, In‐Wook Choi, Yu Ra Lee et al.
International Journal of Analytical Chemistry
Metabolomics and Mass Spectrometry Studies
article

Standardization of Fecal Metabolomics Using Microbiome Preservation Kits: Implications for Multiomics Integration

Ho‐Young Park, Hye Hyun Yoo, In‐Wook Choi, Yu Ra Lee, Jae‐Ho Park
article en

Abstract

With the advancement of multiomics technologies and cohort study designs, integrative omics research is increasingly applied to human health and nutrition. However, optimal storage and preprocessing of labile biological samples, particularly feces, remain challenging. In this study, we systematically evaluated three normalization methods-wet weight, dry weight, and protein quantification-for quantitative metabolomic profiling of fecal samples, using 41 metabolites. Fresh fecal samples from three healthy individuals showed high reproducibility, with 24 metabolites exhibiting a coefficient of variation (CV) below 30 for both wet and dry weight normalization. Fecal samples from 20 obese patients collected using the OMNIgene·GUT kit demonstrated improved reproducibility with wet weight normalization (20 metabolites, CV < 30) and protein quantification normalization (19 metabolites, CV < 30), whereas dry weight normalization yielded no metabolites meeting the CV < 30 criterion. Direct analysis of the kit solution without a drying step further enhanced chromatographic clarity, highlighting practical considerations for large-scale studies. Overall, wet weight normalization consistently minimized variation across sample types, providing a robust and standardized framework for fecal metabolite profiling. These findings demonstrate that the OMNIgene·GUT kit is compatible with broad-spectrum metabolomic analyses and support its integration into multiomics workflows. By establishing reproducible normalization protocols, this study provides the foundation for accurate, comparable, and scalable fecal metabolomics in both clinical and nutritional research settings.

International Journal of Analytical ChemistryVol. 2025(1)
Korea Food Research Institute (KR), Hanyang University (KR), Korea University of Science and Technology (KR)
Ministry of Science and ICT, South Korea, Korea Food Research Institute
Openalex Percentile: Top 63%
Metabolomics and Mass Spectrometry Studies
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