Evidence map›Paper›PMID 40348843›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2025

Recommendations for sample selection, collection and preparation for NMR-based metabolomics studies of blood.

Abdul-Hamid Emwas, Helena U Zacharias, Marcos Rodrigo Alborghetti, G A Nagana Gowda, Daniel Raftery, Ryan T McKay, Chung-Ke Chang, Edoardo Saccenti, Wolfram Gronwald, Sven Schuchardt and 20 more

Abstract readReview
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. UntargetedTranslational psychiatry · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Abdul-Hamid EmwasKing Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, 23955-6900, Kingdom of Saudi Arabia. abdelhamid.emwas@kaust.edu.sa.
Helena U ZachariasPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover Medical School, 30625, Hannover, Germany.
Marcos Rodrigo AlborghettiBrazilian Biosciences National Laboratory and Brazilian Center for Research in Energy and Materials, Campinas, 13083-100, Brazil.
G A Nagana GowdaNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican St., Seattle, WA, 98109, USA.
Daniel RafteryNorthwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican St., Seattle, WA, 98109, USA.
Ryan T McKayDepartment of Chemistry, University of Alberta, Edmonton, AB, Canada.
Chung-Ke ChangTaiwan Biobank, Biomedical Translation Research Center, Academia Sinica, Taipei City, Taiwan.
Edoardo SaccentiLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Wolfram GronwaldInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Sven SchuchardtFraunhofer Institute for Toxicology and Experimental Medicine ITEM, Nikolai-Fuchs-Str. 1, 30625, Hannover, Germany.
Roland LeimingerBruker BioSpin GmbH & Co., Rudolf-Plank-Straße 23, 76275, Ettlingen, Germany.
Jasmeen MerzabanBiological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Nour Y MadhounBiological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Mazhar IqbalDrug Discovery and Structural Biology, Health Biotechnology Division, National Institute for Biotechnology & Genetic Engineering (NIBGE), Faisalabad, 38000, Pakistan.
Rawiah A AlsiaryKing Abdullah International Medical Research Center (KAIMRC), Saudi Arabia/King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Jeddah, Kingdom of Saudi Arabia.
Rupali ShivapurkarBiological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Arnab PainBiological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Dhanasekaran ShanmugamBiochemical Sciences Division, National Chemical Laboratory, Dr. Homi Bhabha Road, 411008, Pune, India.
Danielle RyanSchool of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia.
Raja RoyCentre of Biomedical Research, formerly, Centre of Biomedical Magnetic Resonance, Sanjay Gandhi Post-Graduate Institute of Medical Sciences Campus, Rae Bareli Road, Lucknow, 226014, India.
Horst Joachim SchirraSchool of Environment and Sciences, Griffith University, Nathan, QLD, 4111, Australia.
Vanessa MorrisSchool of Biological Sciences and Biomolecular Interaction Centre, University of Canterbury, 8140, Christchurch, New Zealand.
Ana Carolina ZeriIlum School of Science, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, São Paulo, Zip Code 13083-970, Brazil.
Fatimah AlahmariDepartment of NanoMedicine Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University, 31441, Dammam, Saudi Arabia.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioural Sciences, Duke University, Durham, NC, USA.
Reza M SalekSchool of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SP, UK.
Marcia LeVatteDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Mark BerjanskiiDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Brian LeeDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic 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

objectiveThis 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.

Indexed as

Blood Specimen CollectionMetabolomicsSpecimen HandlingHumansMagnetic Resonance SpectroscopyPlasmaBloodMetabolitesMetabolomicsNMRPlasmaSerumStandardization

Identifiers

PMID40348843
PMCPMC12065766

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.