Evidence map›Paper›PMID 42213273›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2026

An LC-MS untargeted metabolomic comparison between three blood microsampling devices, whole blood, and plasma.

Dennisse Avella, Soile Turunen, Glykeria Avgerinou, Anatoli Petridou, Vassilis Mougios, Iman Zarei, Seppo Auriola, Kati Hanhineva, Olli Kärkkäinen

Abstract readComparative Study
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Dennisse AvellaAfekta Technologies Ltd., Kuopio, Finland.ORCID http://orcid.org/0009-0003-9645-5164
Soile TurunenAfekta Technologies Ltd., Kuopio, Finland.ORCID http://orcid.org/0000-0001-8063-8503
Glykeria AvgerinouSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID http://orcid.org/0009-0005-3274-6979
Anatoli PetridouSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID http://orcid.org/0000-0002-5060-1950
Vassilis MougiosSchool of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece.ORCID http://orcid.org/0000-0002-8430-7231
Iman ZareiDepartment of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0002-9560-2631
Seppo AuriolaSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.ORCID http://orcid.org/0000-0002-4580-1034
Kati HanhinevaAfekta Technologies Ltd., Kuopio, Finland.ORCID http://orcid.org/0000-0001-6834-7375
Olli KärkkäinenAfekta Technologies Ltd., Kuopio, Finland. olli.karkkainen@uef.fi.ORCID http://orcid.org/0000-0003-0825-4956

Funding

European Commission - HORIZON 2021, Marie Skłodowska Curie actions (MSCA) 101073062
6 · The paper itself

Abstract

introductionBlood microsampling (BµS) devices collect less than 100 µL of blood, offering a less invasive and more cost-effective alternative to venipuncture. However, its metabolomic comparability to conventional samples remains unclear, and standardized BµS metabolomic workflows are lacking.

objectivesThis study evaluated the impact of using three BµS devices (Mitra

methodsVenous blood from 10 adults (5 males, 5 females) was sampled onto the three devices. First, three agitation conditions (ultrasound, shaker, and homogenizer) were evaluated at three blood concentrations (1.5%, 5.5%, and 11%). The optimized method was then used to compare the metabolite profiles between BµS devices, whole blood, and plasma. Reverse-phase and hydrophilic-interaction chromatography, in positive and negative ionization modes, were combined for liquid chromatography-mass spectrometry (LC-MS) analysis.

resultsAll agitation conditions and concentrations proved suitable for BµS untargeted metabolomics. Combining different analytical modes and fragmentation ranges proved helpful for maximizing metabolite coverage. BµS-derived metabolite profiles aligned more closely with whole blood than plasma. Some metabolites were more characteristic of a sample type, whereas others were common across sample types. All sample types enabled sex-based differentiation, with metabolites such as amino acids, lipids, and acylcarnitines driving the separation.

conclusionsThese findings enhance our understanding of BµS metabolite coverage and highlight its potential in human biomonitoring. The choice of device depends on the application and the metabolites of interest, offering flexibility for clinical use and research.

Indexed as

Blood Specimen CollectionLiquid Chromatography-Mass SpectrometryMetabolomicsPlasmaAdultChromatography, LiquidFemaleHumansMaleMetabolomeBlood microsampling (BµS)Capitainer®Dried blood spots (DBS)Liquid chromatography–mass spectrometry (LC-MS)MetabolomicsVolumetric absorptive microsampling (VAMS)

Identifiers

PMID42213273
PMCPMC13221320

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Registered trials

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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.