Journal article
Recommendations for sample selection, collection and preparation for NMR-based metabolomics studies of blood
Metabolomics, v 21(3), 66
10 May 2025
PMID: 40348843
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Background
Metabolic profiling of blood metabolites, particularly in plasma and serum, is vital for studying human diseases, human conditions, drug interventions and toxicology. The clinical significance of blood arises from its close ties to all human cells and facile accessibility. However, patient-specific variables such as age, sex, diet, lifestyle and health status, along with pre-analytical conditions (sample handling, storage, etc.), can significantly affect metabolomic measurements in whole blood, plasma, or serum studies. These factors, referred to as confounders, must be mitigated to reveal genuine metabolic changes due to illness or intervention onset.
Review objective
This review aims to aid metabolomics researchers in collecting reliable, standardized datasets for NMR-based blood (whole/serum/plasma) metabolomics. The goal is to reduce the impact of confounding factors and enhance inter-laboratory comparability, enabling more meaningful outcomes in metabolomics studies.
Key concepts
This review outlines the main factors affecting blood metabolite levels and offers practical suggestions for what to measure and expect, how to mitigate confounding factors, how to properly prepare, handle and store blood, plasma and serum biosamples and how to report data in targeted NMR-based metabolomics studies of blood, plasma and serum.
Open access publishing provided by King Abdullah Univer-
sity of Science and Technology (KAUST).
HUZ is supported by the German Federal Minis-
try of Education and Research (BMBF) within the framework of the
e:Med research and funding concept (grant number 01ZX1912A).
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Details
- Title
- Recommendations for sample selection, collection and preparation for NMR-based metabolomics studies of blood
- Creators
- Abdul-Hamid M EmwasHelena U Zacharias - Technische Universität BraunschweigMarcos Rodrigo Alborghetti - Brazilian Biosciences National LaboratoryG. A. Nagana Gowda - University of WashingtonDaniel Raftery - University of WashingtonRyan T McKay - University of AlbertaChung-ke ChangEdoardo Saccenti - Wageningen University & ResearchWolfram Gronwald - University of RegensburgSven Schuchardt - Fraunhofer Institute for Toxicology and Experimental MedicineRoland Leiminger - BrukerJasmeen S Merzaban - King Abdullah University of Science and TechnologyNour Yaseen Rabah Madhoun - King Abdullah University of Science and TechnologyMazhar Iqbal - National Institute for Biotechnology and Genetic EngineeringRawiah A Alsiary - King Abdullah International Medical Research CenterRupali Shivapurkar - King Abdullah University of Science and TechnologyArnab Pain - King Abdullah University of Science and TechnologyDhanasekaran Shanmugam - National Chemical LaboratoryDanielle Ryan - Charles Sturt UniversityRaja Roy - Sanjay Gandhi Post Graduate Institute of Medical SciencesHorst Joachim Schirra - Griffith UniversityVanessa Morris - University of CanterburyAna Carolina ZeriFatimah Alahmari - Imam Abdulrahman Bin Faisal UniversityRima Kaddurah-Daouk - Duke UniversityReza M Salek - University of CambridgeMarcia LeVatte - University of AlbertaMark Berjanskii - University of AlbertaBrian LeeDavid S Wishart - University of Alberta
- Publication Details
- Metabolomics, v 21(3), 66
- Publisher
- Springer Science and Business Media LLC
- Number of pages
- 37
- Grant note
- King Abdullah University of Science and Technology (KAUST): 01ZX1912A German Federal Ministry of Education and Research (BMBF)
HUZ is supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the e:Med research and funding concept (grant number 01ZX1912A).
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:001485423800001
- Scopus ID
- 2-s2.0-105005235745
- Other Identifier
- 991022054401904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Endocrinology & Metabolism