Evidence map›Paper›PMID 41460822›Full record

ArticleJournal of clinical laboratory analysis2026

Matrix Type Influences the Levels of Soluble Immune Checkpoints.

Veronica Buia, Martina Bonacini, Cecilia Catellani, Alessandro Rossi, Francesco Muratore, Carlo Salvarani, Alessandro Zerbini, Stefania Croci

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Veronica BuiaPhD Program in Clinical and Experimental Medicine, University of Modena and Reggio Emilia, Modena, Italy.ORCID https://orcid.org/0000-0002-1604-0299
Martina BonaciniUnit of Clinical Immunology, Allergy and Advanced Biotechnologies, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-6830-6781
Cecilia CatellaniUnit of Clinical Immunology, Allergy and Advanced Biotechnologies, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-6354-9979
Alessandro RossiUnit of Clinical Immunology, Allergy and Advanced Biotechnologies, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-6719-3324
Francesco MuratoreUnit of Rheumatology, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0003-0362-2668
Carlo SalvaraniUnit of Rheumatology, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0001-5426-5133
Alessandro ZerbiniUnit of Clinical Immunology, Allergy and Advanced Biotechnologies, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0001-7378-0675
Stefania CrociUnit of Clinical Immunology, Allergy and Advanced Biotechnologies, AUSL - IRCCS di Reggio Emilia, Italy.ORCID https://orcid.org/0000-0002-8622-0439

Funding

Azienda Unità Sanitaria Locale - IRCCS di Reggio Emilia Bando per la valorizzazione della ricerca istituzionale 2021
6 · The paper itself

Abstract

backgroundSoluble immune checkpoints (sICs) are emerging as possible serum and plasma biomarkers in cancer and immune-mediated diseases, but little is known about the impact of the matrix type in sIC detection. This study aimed to assess whether sIC measurements are comparable between serum and EDTA-plasma samples.

methodsA cohort of 38 healthy subjects was enrolled. A multiplex bead-based assay was used to evaluate a panel of 17 sICs (CD137, 4-1BBL, CD27, CTLA4/CD152, CD80, CD40, CD40L, GITR, GITRL, ICOSL, IDO, LAG3, PD-1, PD-L1, PD-L2, TIM3, and VISTA) in paired serum and plasma-EDTA samples. The detection frequencies, concentrations, and correlations of each sIC were analyzed by comparing the two matrices.

resultsSoluble CD137, CD152, CD40, and LAG3 were detected more frequently in plasma, while soluble CD40L was detected predominantly in serum. The concentrations of soluble 4-1BBL, CD27, PD-1, VISTA were higher in plasma, while the concentrations of soluble PD-L2 were higher in serum. The concentrations of soluble CD80, GITR, GITRL, ICOSL, IDO, and TIM3 were comparable between serum and plasma. Soluble CD27, CD80, GITRL showed a significant positive, slight correlation between plasmatic and serum concentrations.

conclusionExcept for soluble CD80, the detection of the other sICs by the bead-based assay was influenced by the matrix type. The evaluation of the best matrix for sICs should be considered before starting clinical studies.

Indexed as

Immune Checkpoint ProteinsAdultBiomarkersFemaleHumansLymphocyte Activation Gene 3 ProteinMaleMiddle AgedYoung AdultBiomarkersImmune Checkpoint ProteinsLymphocyte Activation Gene 3 Proteincancerimmune‐mediated diseasesplasmaserumsoluble immune checkpoints

Identifiers

PMID41460822
PMCPMC12888759

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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.