Evidence map›Paper›PMID 40963627›Full record

ArticleFrontiers in immunology2025

Substantial loss of T cells upon lymphocyte isolation from heparin-anticoagulated peripheral blood.

Victoria Berg, J Alexander Ross, Maria Dampmann, Ralf Küppers, Bettina Budeus

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Victoria BergInstitute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
J Alexander RossTherapy Research in Neurogeriatrics, Chair of Geriatric Medicine, University of Duisburg-Essen, Essen, Germany.
Maria DampmannInstitute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Ralf KüppersInstitute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Bettina BudeusInstitute of Cell Biology (Cancer Research), Medical Faculty, University of Duisburg-Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of lymphocytes usually involves the usage of blood anticoagulants, with the type of anticoagulant often determined by clinical routines, without testing which anticoagulant is ideal for the research question. We systematically compared the effects of ethylenediaminetetraacetic acid (EDTA) and heparin anticoagulation on recovery and composition of peripheral lymphocyte populations. This comprehensive analysis of the effect of heparin and EDTA on recovery of different lymphocyte subsets has, to our knowledge, not been performed previously. On average, the recovery of lymphocytes is lower in heparin-treated samples. This is due to a loss of T cells, as the absolute numbers of T cells is reduced by 38% in heparin-treated samples compared to EDTA-treated samples, whereas there was no significant loss of B cells observed in the heparin-treated samples. Several T cell subsets, such as memory T cell subsets, are significantly affected. We analysed different steps of the lymphocyte isolation protocol to clarify in which step cells are lost. Losses during several isolation steps showed biases in cell composition, and a significant amount of cells may be lost, e.g. during density gradient centrifugation. However, these losses were generally similar in EDTA- and heparin-treated samples, arguing for an additional mechanism of cell loss. In conclusion, isolation of mononuclear cells from peripheral blood with heparin as anticoagulant causes a partial loss of T cells, with particular subsets preferentially affected, so that there is a risk that the composition of the lymphocyte compartment may be inaccurately assessed when using heparin-treated blood.

Indexed as

AnticoagulantsCell SeparationHeparinT-LymphocytesT-Lymphocyte SubsetsEdetic AcidFemaleHumansMaleAnticoagulantsEdetic AcidHeparinEDTAheparinlymphocyte isolationperipheral bloodT lymphocytes

Identifiers

PMID40963627
PMCPMC12436355

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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.