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Related Concept Videos

T Cell Types and Functions01:24

T Cell Types and Functions

When T cells with CD4 markers are activated, they give rise to two types of effector cells: helper T cells and regulatory T cells. Meanwhile, T cells with CD8 markers differentiate into effector cytotoxic T cells. The differentiation of CD4 T cells into helper T cell subsets, such as Th1, Th2, and Th17 cells, is dependent on the antigen type, antigen-presenting cell, and regulatory cytokines.
Th1 cells stimulate dendritic cells to express necessary co-stimulatory molecules on their surfaces for...

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Related Experiment Video

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Accurate and Simple Measurement of the Pro-inflammatory Cytokine IL-1β using a Whole Blood Stimulation Assay
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Assessment for potential bias in multiplexed IL-10 and TNF-α from plex count.

Wade M Sanders1, Carrie A Karvonen-Gutierrez1, Daniel S McConnell1

  • 1Department of Epidemiology, 1259 School of Public Health, The University of Michigan , Ann Arbor, MI, USA.

Clinical Chemistry and Laboratory Medicine
|January 16, 2026
PubMed
Summary

Multiplex assays show minor differences compared to single plex assays for cytokine analysis, especially at low concentrations. These variations may not significantly impact overall data comparability in large-scale biomarker research.

Keywords:
Luminexcytokinesmultiplex assaysmultiplex immunoassaysuspension multiplex

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Area of Science:

  • Biomarker discovery and validation
  • Immunology and inflammation research
  • High-throughput biological assays

Background:

  • Multiplex arrays enable simultaneous quantification of multiple analytes, crucial for cost-effective, large-scale biomarker research.
  • Potential variations exist between multiplex and single plex assays due to shared reaction environments, possibly affecting research outcomes.

Purpose of the Study:

  • To investigate and quantify differences between multiplex (3-plex) and single plex assays for tumor necrosis factor-alpha (TNF-α) and interleukin-10 (IL-10).
  • To assess the impact of these differences on data comparability in biomarker studies.

Main Methods:

  • Utilized Luminex HS Cytokine Panel A to test 72 serum samples across multiple 3-plex and 1-plex assay batches for IL-10 and TNF-α.
  • Employed paired t-tests and Bland-Altman plots to compare cytokine values within and between assay types (1-plex vs. 3-plex).

Main Results:

  • Interleukin-10 (IL-10) values showed minimal differences between 1-plex and 3-plex assays (average 10.7% difference).
  • Tumor necrosis factor-alpha (TNF-α) exhibited a greater difference (16.7%) in between-plex comparisons versus within-plex comparisons (12%).
  • Variability was more pronounced at low analyte concentrations, particularly for IL-10.

Conclusions:

  • Despite observed variations at low concentrations, multiplex assays may offer acceptable comparability with single plex assays for IL-10 and TNF-α.
  • The impact of assay differences on comparability is likely minimal in datasets with predominantly low analyte concentrations.