ArticleAnalytical chemistry2021
High-Precision Automated Workflow for Urinary Untargeted Metabolomic Epidemiology.
Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 47 citations in OpenAlex.
- A systematic DoE approach for optimizing urinary LC-HRMS metabolomics: enhancing reliability in bladder cancer profiling.Analytical and bioanalytical chemistry · 2026Article
- Optimized SPE-HPLC-FLD Method for the Simultaneous Determination of Olaparib, Propranolol, and Furosemide in Human Urine.Biomedical chromatography : BMC · 2026Article
- Biomolecular profiling for noninvasive health monitoring.Nature biotechnology · 2026Review
- Long-term exposure to air pollution and metabolites in children and young adults in a Swedish birth cohort.Journal of exposure science & environmental epidemiology · 2026Article
- The ratio of circulatory levels of sphingolipids to steroids predicts asthma exacerbations.Nature communications · 2026Article
- A Streamlined Automated Liquid Handling and 96-Well Solid-Phase Extraction for Single Low-Volume Urine Aliquot Multiclass Biomarker Analysis in Human Biomonitoring.Environmental chemistry and ecotoxicology · 2026Article
- Dried blood spots capture a wide range of metabolic pathways and biological changes associated with exercise.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Metabolomics-Based Liquid Biopsy for Predicting Clinically Significant Prostate Cancer.Cancers · 2025Review
- Clinical lipidomics reveals high individuality and sex specificity of circulatory lipid signatures: a prospective healthy population study.Journal of lipid research · 2025Article
- Body mass index trajectories from birth to early adulthood and lung function development.The European respiratory journal · 2025Article
- Extracting Knowledge from MS Clinical Metabolomic Data: Processing and Analysis Strategies.Methods in molecular biology (Clifton, N.J.) · 2025Article
- NMR Precision Metabolomics: Dynamic Peak Sum Thresholding and Navigators for Highly Standardized and Reproducible Metabolite Profiling of Clinical Urine Samples.Metabolites · 2024Article
- Modeling dry eye with an air-liquid interface in corneal epithelium-on-a-chip.Scientific reports · 2024Article
- Article
- The untargeted urine volatilome for biomedical applications: methodology and volatilome database.Biological procedures online · 2022Review
- Semantic Annotation of Experimental Methods in Analytical Chemistry.Analytical chemistry · 2022Article
- Urinary metabotype of severe asthma evidences decreased carnitine metabolism independent of oral corticosteroid treatment in the U-BIOPRED study.The European respiratory journal · 2022Article
- CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets.Environment international · 2022Article
- Minimal Gluten Exposure Alters Urinary Volatile Organic Compounds in Stable Coeliac Disease.Sensors (Basel, Switzerland) · 2022Article
- Automated Sample Preparation and Data Collection Workflow for High-Throughput In Vitro Metabolomics.Metabolites · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urine is a noninvasive biofluid that is rich in polar metabolites and well suited for metabolomic epidemiology. However, because of individual variability in health and hydration status, the physiological concentration of urine can differ >15-fold, which can pose major challenges in untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics. Although numerous urine normalization methods have been implemented (e.g., creatinine, specific gravity-SG), most are manual and, therefore, not practical for population-based studies. To address this issue, we developed a method to measure SG in 96-well-plates using a refractive index detector (RID), which exhibited accuracy within 85-115% and <3.4% precision. Bland-Altman statistics showed a mean deviation of -0.0001 SG units (limits of agreement: -0.0014 to 0.0011) relative to a hand-held refractometer. Using this RID-based SG normalization, we developed an automated LC-MS workflow for untargeted urinary metabolomics in a 96-well-plate format. The workflow uses positive and negative ionization HILIC chromatography and acquires mass spectra in data-independent acquisition (DIA) mode at three collision energies. Five technical internal standards (tISs) were used to monitor data quality in each method, all of which demonstrated raw coefficients of variation (CVs) < 10% in the quality controls (QCs) and < 20% in the samples for a small cohort (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.