Evidence map›Paper›PMID 41047413›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2025

Quantitative comparison of whole blood, plasma and serum metabolomes across different blood collection methods.

Ashley Zubkowski, Yamilé López-Hernández, Dorsa Yahya Rayat, Jiamin Zheng, Mickel R Hiebert-Giesbrecht, Mathew Johnson, Prashanthi Kovur, Rupasri Mandal, David S Wishart

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Ashley ZubkowskiDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Yamilé López-HernándezDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Dorsa Yahya RayatDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Jiamin ZhengDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Mickel R Hiebert-GiesbrechtDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Mathew JohnsonDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Prashanthi KovurDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
Rupasri MandalDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada. dwishart@ualberta.ca.

Funding

Canada Foundation for Innovation CFI MSIF 42495Genome Alberta TMIC MC5-TD
6 · The paper itself

Abstract

objectivesThis study quantitatively evaluated whether metabolite profiles differed between capillary (fingerstick vs. microblade) and venous (hypodermic needle) blood collection methods, and the corresponding WB, plasma, and serum samples.

introductionBlood may be collected through venipuncture, fingerstick, or microblade devices. Collected samples may remain as whole blood (WB) or be processed to serum or plasma. Differences in collection methods, blood sources (venous or capillary), body locations and processing protocols may influence metabolite composition. However, no systematic assessment has evaluated collection effects on the WB/serum/plasma metabolome.

methodsBlood was collected from five healthy volunteers via fingerstick (finger), microblade (shoulder, using Tasso + devices), and hypodermic needle (arm) draw. WB, serum and plasma samples from each source were immediately analyzed (to eliminate storage effects) by a quantitative LC-MS assay for 142 metabolites.

resultsFresh WB showed a distinct metabolite profile compared to fresh plasma or serum, regardless of collection method. Plasma and serum samples from all collection methods exhibited differences in only two metabolites: sarcosine and pyruvic acid. When identical biofluid types were compared, minimal metabolome differences were observed across blood collection methods, body location and peripheral blood sources.

conclusionsFor most metabolites, all three collection methods (venous, microblade, and fingerstick) produced nearly identical results when comparing identical biofluid types. We found minimal metabolic differences between serum and plasma, regardless of collection method, peripheral blood source or body location. These results prove that inexpensive blood microsampling systems (via shoulder-microblade or fingerstick) yield comparable metabolite data relative to venous collection methods.

Indexed as

Blood Specimen CollectionMetabolomePlasmaSerumAdultChromatography, LiquidFemaleHumansMaleMetabolomicsBlood collectionCapillaryMetabolomicsPlasmaSerumWhole blood

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.