Effects of Preanalytical Sample Collection and Handling on Comprehensive Metabolite Measurements in Human Urine Biospecimens.

epidemiology freeze–thaw metabolomics preanalytical sample handling preservatives stability urine urine metabolomics

Journal

American journal of epidemiology
ISSN: 1476-6256
Titre abrégé: Am J Epidemiol
Pays: United States
ID NLM: 7910653

Informations de publication

Date de publication:
16 Sep 2024
Historique:
received: 08 01 2024
revised: 15 06 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: aheadofprint

Résumé

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 non-invasive 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 < 0.05). 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.

Identifiants

pubmed: 39284767
pii: 7758657
doi: 10.1093/aje/kwae347
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Institutes of Health and the United States Department of Agriculture's Agriculture Research Service
ID : 8040-51530-011-00D
Organisme : National Cancer Institute's Division of Cancer Control and Population Sciences and the Intramural Research Program of the National Center for Advancing Translational Sciences
ID : TR000410-05

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

Auteurs

John Braisted (J)

Division of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD, United States.

Theresa Henderson (T)

Food Components and Health Laboratory, Agriculture Research Service, United States Department of Agriculture, Beltsville, MD, United States.

John W Newman (JW)

Obesity and Metabolism Research, Agriculture Research Service, United States Department of Agriculture, Davis, CA, United States.
Department of Nutrition, University of California, Davis, CA, United States.

Steven C Moore (SC)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.

Joshua Sampson (J)

Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States.

Kathleen McClain (K)

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.

Sharon Ross (S)

Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States.

David J Baer (DJ)

Food Components and Health Laboratory, Agriculture Research Service, United States Department of Agriculture, Beltsville, MD, United States.

Ewy A Mathé (EA)

Division of Preclinical Innovation, National Center for Advancing Translational Sciences, Rockville, MD, United States.

Krista A Zanetti (KA)

Office of Nutrition Research, Division of Program Coordination, Planning, and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD, United States.

Classifications MeSH