Evidence map›Paper›PMID 42548195›Full record

ArticleJournal of immunology research2026

Development and Validation of a Multiplex Flow Cytometry-Based PBMC Assay for Immunomodulator Screening.

Regine Brox, Holger Hackstein

Abstract read
In one paragraph

Article in Journal of immunology research, 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

2 authors.

Regine BroxDepartment of Transfusion Medicine and Hemostaseology, University Hospital Erlangen, Erlangen, Germany, fau.eu.ORCID https://orcid.org/0000-0003-3104-4869
Holger HacksteinDepartment of Transfusion Medicine and Hemostaseology, University Hospital Erlangen, Erlangen, Germany, fau.eu.ORCID https://orcid.org/0000-0001-9722-8180

Funding

Projekt DEALUniversity Hospital Erlangen
6 · The paper itself

Abstract

The identification of novel compounds capable of stimulating or suppressing immune responses is critical for advancing immunotherapy and improving our understanding of immune regulation. However, traditional screening approaches are often limited by low throughput, poor physiological relevance, and insufficient resolution to detect subtle immunomodulatory effects. In this study, we introduce a validated and robust multiplexed flow cytometry-based functional screening assay that enables efficient and precise identification of immunomodulatory compounds, while addressing the key limitations of conventional methods. By using human peripheral blood mononuclear cells (PBMCs) and defined stimulation conditions, the assay mimics complex immune interactions in a physiologically relevant context. It simultaneously monitors T- and B-cell responses across multiple functional readouts, including T-cell proliferation (carboxyfluorescein succinimidyl ester [CFSE]), activation (CD25, CD71), and B-cell costimulatory marker expression (CD86), enabling an in-depth assessment of immune modulation within heterogenous cell populations. The incorporation of robust statistical validation using the Z-factor further supports assay reliability and reproducibility. In a pilot screen with 295 immunology-related compounds, the assay demonstrated its ability to identify known immunomodulators with distinct functional profiles. This multiplex functional screening approach bridges the gap between mechanistic immunology and drug discovery by enabling systematic identification and characterization of immunotherapeutic candidates, while providing new insights into the complex dynamics of immune regulation.

Indexed as

Flow CytometryImmunologic FactorsImmunomodulating AgentsLeukocytes, MononuclearT-LymphocytesB-LymphocytesCell ProliferationCells, CulturedHigh-Throughput Screening AssaysHumansLymphocyte ActivationReproducibility of ResultsImmunologic FactorsImmunomodulating Agents

Identifiers

PMID42548195
PMCPMC13434440

What OpenQuestion holds

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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.