ArticleMetabolomics : Official journal of the Metabolomic Society2021
Comparison of dried blood spot and plasma sampling for untargeted metabolomics.
Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Optimization of a targeted metabolomics kit for dried blood spots analysis and longitudinal comparison with serum.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Dried blood spot sample extraction for metabolomics and proteomics profiling for clinical trials: a descriptive exploratory study.Scientific reports · 2026Article
- A Minimally Invasive LC-MS/MS Approach for Assessing Endocannabinoids in Saliva and Capillary Blood Microsamples.Biosensors · 2026Article
- Connecting the Dots: Bridging Microsamples and Conventional Blood Matrices in Metabolic Biomarker Analysis.Analytical science advances · 2025Review
- A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases.Journal of pharmaceutical analysis · 2025Review
- Identification of an extraction protocol from dried blood spots for untargeted metabolomics: application to phenylketonuria.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- LC-MS-Based Global Metabolic Profiles of Alternative Blood Specimens Collected by Microsampling.Metabolites · 2025Article
- Dry blood spots as a sampling strategy to identify insulin resistance markers during a dietary challenge.Genes & nutrition · 2024Article
- The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges.International journal of neonatal screening · 2024Review
- Comparison of maternal venous blood metabolomics collected as dried blood spots, dried blood microsamplers, and plasma for integrative environmental health research.Environment international · 2024Article
- Comparison of reversed-phase, hydrophilic interaction, and porous graphitic carbon chromatography columns for an untargeted toxicometabolomics study in pooled human liver microsomes, rat urine, and rat plasma.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Metabolomics Analysis and Diagnosis of Lung Cancer: Insights from Diverse Sample Types.International journal of medical sciences · 2024Review
- Metabolomic profiling of preterm birth in pregnant women living with HIV.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Chronic GvHD NIH Consensus Project Biology Task Force: evolving path to personalized treatment of chronic GvHD.Blood advances · 2023Article
- The Potential Antipyretic Mechanism of Ellagic Acid with Brain Metabolomics Using Rats with Yeast-Induced Fever.Molecules (Basel, Switzerland) · 2022Article
- Vertical Transfer of Metabolites Detectable from Newborn's Dried Blood Spot Samples Using UPLC-MS: A Chemometric Study.Metabolites · 2022Article
- Adaptation of Metabolomics and Microbiomic Research Protocols During the COVID-19 Pandemic.Nursing researchArticle
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Authors and funding
13 authors.
Funding
Abstract
introductionUntargeted metabolomics holds significant promise for biomarker detection and development. In resource-limited settings, a dried blood spot (DBS)-based platform would offer significant advantages over plasma-based approaches that require a cold supply chain.
objectivesThe primary goal of this study was to compare the ability of DBS- and plasma-based assays to characterize maternal metabolites. Utility of the two assays was also assessed in the context of a case-control predictive model in pregnant women living with HIV.
methodsUntargeted metabolomics was performed on archived paired maternal plasma and DBS from n = 79 women enrolled in a large clinical trial.
resultsA total of 984 named biochemicals were detected across both plasma and DBS samples, of which 627 (63.7%), 260 (26.4%), and 97 (9.9%) were detected in both plasma and DBS, plasma alone, and DBS alone, respectively. Variation attributable to study individual (R
conclusionMaternal plasma and DBS samples yield distinct metabolite profiles highly predictive of the individual subject. In our case study, classification models showed similar performance albeit with distinct feature sets. Appropriate normalization and standardization methods are critical to leverage data from both sample types. Ultimately, the choice of sample type will likely depend on the compounds of interest as well as logistical demands.
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