Evidence map›Paper›PMID 41230343›Full record

ArticleImmunometabolism (Cobham, Surrey)2025

Comparison of immunometabolic profiles in whole blood versus peripheral blood mononuclear cells.

Ibrahima Diallo, Graham Heieis, Mikhael D Manurung, Marouba Cisse, Yoanne D Mouwenda, Yvonne C M Kruize, Moustapha Mbow, Maria Yazdanbakhsh, Bart Everts

Abstract read
In one paragraph

Article in Immunometabolism (Cobham, Surrey), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Ibrahima DialloCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Graham HeieisCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Mikhael D ManurungCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Marouba CisseCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Yoanne D MouwendaCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Yvonne C M KruizeCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Moustapha MbowDepartment of Immunology, Faculty of Medicine, Pharmacy, and Odontology, Cheikh Anta Diop University of Dakar, Dakar, Senegal.
Maria YazdanbakhshCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Bart EvertsCenter for Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immunometabolism has emerged as a flourishing field exploring how cellular metabolism regulates immune responses. Peripheral blood mononuclear cells (PBMCs) have so far been the primary sample type used for immunometabolic profiling. However, PBMCs isolation requires large blood volumes, can pose logistic challenges, and requires specialized skills for processing. Thus, using whole blood (WB) samples, which are less technically challenging to process, could serve as a viable alternative for metabolic characterization of circulating immune cell populations. Yet, how well WB immunometabolic profiles match those from PBMCs remains unknown. Therefore, we aimed to compare the immunometabolic profile of WB with that of PBMCs. Method: Paired WB and PBMCs samples were collected from six healthy donors. WB was collected in CryoStor Results: Our findings show an overall high similarity in the immune cell subset frequencies between WB and PBMCs as well as their metabolic profiles. However, differences in the expression of certain metabolic markers were noted in some immune populations. Specifically, glucose transporter 1 levels were higher in CD8 Conclusions: These results suggest that WB can be an alternative to PBMCs for metabolic profiling of immune cells. Nevertheless, for some specific cell subsets, caution should be taken when comparing immunometabolic data between WB and PBMCs.

Indexed as

immunometabolic profilingmetabolic markersmetabolismperipheral blood mononuclear cellsspectral flow cytometrywhole blood

Identifiers

PMID41230343
PMCPMC12604536

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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.