Effects of preanalytical sample collection and handling on comprehensive metabolite measurements in human urine biospecimens
Year: 2024
Type: article
Abstract: Epidemiology studies evaluate associations between the metabolome and disease risk. Urine is a common biospecimen used for such studies due to its wide availability and noninvasive collection. Evaluating the robustness of urinary metabolomic profiles under varying preanalytical conditions is thus of interest. Here we evaluate the impact of sample handling conditions on urine metabolome profiles relative to the gold standard condition (no preservative, no refrigeration storage, single freeze thaw). Conditions tested included the use of borate or chlorhexidine preservatives, various storage, and freeze/thaw cycles. We demonstrate that sample handling conditions impact metabolite levels, with borate showing the largest impact with 125 of 1048 altered metabolites (adjusted P < .05). When simulating a case-control study with expected inconsistencies in sample handling, we predicted the occurrence of false positive altered metabolites to be low (<11). Predicted false positives increased substantially (≥63) when cases were simulated to undergo alternate handling. Finally, we demonstrate that sample handling impacts on the urinary metabolome were markedly smaller than those in serum. While changes in urine metabolites incurred by sample handling are generally small, we recommend implementing consistent handling conditions and evaluating robustness of metabolite measurements for those showing significant associations with disease outcomes.
Source: American Journal of Epidemiology
DOI: 10.1093/aje/kwae347
Institutions: National Center for Advancing Translational Sciences, Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, University of California, Davis, National Cancer Institute, Division of Cancer Epidemiology and Genetics, National Institutes of Health, Office of the Director, Division of Program Coordination Planning and Strategic Initiatives
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $5,099
Funders: U.S. Department of Agriculture, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, University of California, Davis, National Cancer Institute, National Center for Advancing Translational Sciences, Division of Cancer Epidemiology and Genetics, National Cancer Institute
Award: Informatics Research
OpenAlex ID: W4402575195
