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Standardization of Fecal Metabolomics Using Microbiome Preservation Kits: Implications for Multiomics Integration.
Yu Ra Lee1, Jae-Ho Park1, Hye Hyun Yoo2
1Food Functionality Research Division, Korea Food Research Institute, Wanju-Gun, 55365, Jeollabuk-do, Republic of Korea, kfri.re.kr.
International Journal of Analytical Chemistry
|January 1, 2026
Summary
Wet weight normalization is recommended for fecal metabolomics using the OMNIgene·GUT kit. This method ensures reproducible results for human health and nutrition studies, improving data quality in multiomics research.
Area of Science:
- Human Health and Nutrition
- Metabolomics
- Multiomics
Background:
- Integrative omics research is growing in human health and nutrition.
- Optimal storage and preprocessing of labile fecal samples for metabolomics remain challenging.
Purpose of the Study:
- To systematically evaluate three normalization methods (wet weight, dry weight, protein quantification) for quantitative fecal metabolomic profiling.
- To assess the reproducibility of fecal metabolite profiling using the OMNIgene·GUT kit.
Main Methods:
- Evaluation of wet weight, dry weight, and protein quantification normalization methods.
- Analysis of 41 metabolites in fresh fecal samples from healthy individuals and obese patients collected via the OMNIgene·GUT kit.
- Assessment of metabolite reproducibility using coefficient of variation (CV < 30).
Main Results:
- Wet and dry weight normalization showed high reproducibility in fresh samples (24 metabolites, CV < 30).
- OMNIgene·GUT kit samples showed improved reproducibility with wet weight (20 metabolites, CV < 30) and protein quantification (19 metabolites, CV < 30) normalization.
- Dry weight normalization failed to meet the CV < 30 criterion for obese patient samples.
- Direct analysis without drying enhanced chromatographic clarity.
Conclusions:
- Wet weight normalization offers a robust and standardized framework for fecal metabolite profiling, consistently minimizing variation.
- The OMNIgene·GUT kit is compatible with broad-spectrum metabolomic analyses and suitable for multiomics workflows.
- Reproducible normalization protocols are crucial for accurate, comparable, and scalable fecal metabolomics in clinical and nutritional research.
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