Evidence map›Paper›PMID 38334457›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2024

Cross-Platform Comparison of Highly Sensitive Immunoassays for Inflammatory Markers in a COVID-19 Cohort.

Koji Abe, Joanne C Beer, Tran Nguyen, Ishara S Ariyapala, Tyson H Holmes, Wei Feng, Bingqing Zhang, Dwight Kuo, Yuling Luo, Xiao-Jun Ma and 1 more

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Observational
  4. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Koji AbeInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-1670-0904
Joanne C BeerAlamar Biosciences, Inc., Fremont, CA.ORCID 0000-0001-8583-8467
Tran NguyenInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA.
Ishara S AriyapalaAlamar Biosciences, Inc., Fremont, CA.
Tyson H HolmesInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA.
Wei FengAlamar Biosciences, Inc., Fremont, CA.ORCID 0000-0003-3922-1815
Bingqing ZhangAlamar Biosciences, Inc., Fremont, CA.
Dwight KuoAlamar Biosciences, Inc., Fremont, CA.ORCID 0000-0002-1391-2637
Yuling LuoAlamar Biosciences, Inc., Fremont, CA.ORCID 0000-0002-2648-7078
Xiao-Jun MaAlamar Biosciences, Inc., Fremont, CA.ORCID 0009-0002-1287-9553
Holden T MaeckerInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0003-0795-9946

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Systems biological assessment of T cell responses to vaccinationU19AI167903 · NIAID · STANFORD UNIVERSITY · PI BALI PULENDRAN · 2022 to 2026
$13.2M
Scientific Human Biomarker Exposure Monitoring Core (HEMC) for the Air pollution disrupts Inflammasome Regulation in HEart And Lung Total Health (AIRHEALTH) StudyP01HL152953 · NHLBI · STANFORD UNIVERSITY · PI JOHNSON, MARY · 2021 to 2025
$9.8M
NHLBI NIH HHS P01 HL152953NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI167903
6 · The paper itself

Abstract

A variety of commercial platforms are available for the simultaneous detection of multiple cytokines and associated proteins, often employing Ab pairs to capture and detect target proteins. In this study, we comprehensively evaluated the performance of three distinct platforms: the fluorescent bead-based Luminex assay, the proximity extension-based Olink assay, and a novel proximity ligation assay platform known as Alamar NULISAseq. These assessments were conducted on human serum samples from the National Institutes of Health IMPACC study, with a focus on three essential performance metrics: detectability, correlation, and differential expression. Our results reveal several key findings. First, the Alamar platform demonstrated the highest overall detectability, followed by Olink and then Luminex. Second, the correlation of protein measurements between the Alamar and Olink platforms tended to be stronger than the correlation of either of these platforms with Luminex. Third, we observed that detectability differences across the platforms often translated to differences in differential expression findings, although high detectability did not guarantee the ability to identify meaningful biological differences. Our study provides valuable insights into the comparative performance of these assays, enhancing our understanding of their strengths and limitations when assessing complex biological samples, as exemplified by the sera from this COVID-19 cohort.

Indexed as

COVID-19CytokinesHumansImmunoassaySerumCytokines

Identifiers

PMID38334457
PMCPMC10948291

What OpenQuestion holds

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Registered trials

None linked

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.