Evidence map›Paper›PMID 39703153›Full record

ArticleBioanalysis2025

Comparison of highly sensitive, multiplex immunoassay platforms for streamlined clinical cytokine quantification.

Kevin McKinski, Huaping Tang, Kai Wang, Mary Birchler, Mike Wright

Abstract readComparative Study
In one paragraph

Article in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

5 authors.

Kevin McKinskiPrecision Medicine - Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA.ORCID 0000-0003-4634-8478
Huaping TangPrecision Medicine - Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA.
Kai WangPrecision Medicine - Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA.
Mary BirchlerPrecision Medicine - Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA.
Mike WrightPrecision Medicine - Biomarker & Bioanalytical Platforms (BBP), GSK, Stevenage, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSelecting the optimal platforms to quantitate cytokines is challenging due to varying performance and the plethora of options available.

aimsTo compare performance of three highly sensitive, multiplex assays on three different platforms - MSD S-plex, Olink Target 48, and Quanterix SP-X - to MSD V-plex which is widely used for quantitative cytokine assay.

methodsSerum and stimulated plasma samples were analyzed across each platform. The proportion of quantifiable samples was compared for each analyte and correlation analyses were performed to relate the data. For MSD S-plex, parallelism and antibody pair knockdown experiments gauged specificity of the kit.

resultsMSD S-plex was the most sensitive multiplex platform followed by Olink Target 48, Quanterix SP-X, and MSD V-plex. Concentrations across platforms differed greatly for some cytokines, but all platforms showed strong correlation. Results for MSD S-plex were confirmed by parallelism and knockdown.

conclusionMSD S-plex should be a priority platform for ultra-sensitive assay. Olink Target 48 offers an enticing combination of sensitivity and multiplex capability that warrants consideration when many cytokines require quantitation. MSD V-plex, MSD S-plex and Olink quantitative assays offer high utility across drug development programs, but fit-for-purpose performance should be assessed on a per-analyte basis.

Indexed as

CytokinesHumansImmunoassayCytokinesbiomarkersCytokinesimmunoassayMSDOlinkparallelismquanterixsensitivity

Identifiers

PMID39703153
PMCPMC11749433

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.