Evidence map›Paper›PMID 33604555›Full record

ArticleCytokine: X2020

Cross-platform comparison of highly sensitive immunoassay technologies for cytokine markers: Platform performance in post-traumatic stress disorder and Parkinson's disease.

Heather C Lasseter, Allison C Provost, Lauren E Chaby, Nikolaos P Daskalakis, Magali Haas, Andreas Jeromin

Open access · hybridAbstract read
In one paragraph

Article in Cytokine: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

31 citing papers in PubMed, 47 citations in OpenAlex.

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  15. Carotenoids in Health as Studied by Omics-Related Endpoints.Advances in nutrition (Bethesda, Md.) · 2023
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  18. Associations of potential ADRD plasma biomarkers in cognitively normal volunteers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    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

6 authors at 1 institution in 1 country.

Heather C LasseterCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Allison C ProvostCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Lauren E ChabyCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Nikolaos P DaskalakisCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Magali HaasCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Andreas JerominCohen Veterans Bioscience Inc., 535 8th Avenue, 12th Floor, New York, NY 10018, United States.
Cohen Veterans Bioscience · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is mounting evidence of systemic inflammation in post-traumatic stress disorder (PTSD) and Parkinson's disease (PD), yet inconsistency and a lack of replicability in findings of putative biological markers have delayed progress in this space. Variability in performance between platforms may contribute to the lack of consensus in the biomarker literature, as has been seen for a number of psychiatric disorders, including PTSD. Thus, there is a need for high-performance, scalable, and validated platforms for the discovery and development of biomarkers of inflammation for use in drug development and as clinical diagnostics. To identify the best platform for use in future biomarker discovery efforts, we conducted a comprehensive cross-platform and cross-assay evaluation across five leading platform technologies. This initial assessment focused on four cytokines that have been implicated PTSD - interleukin (IL)-1β, IL-6, tumor necrosis factor (TNF)-α, and interferon (IFN)-γ. To assess platform performance and understand likely measurements in individuals with brain disorders, serum and plasma samples were obtained from individuals with PTSD (n = 13) or Parkinson's Disease (n = 14) as well as healthy controls (n = 5). We compared platform performance across a number of common analytic parameters, including assay precision, sensitivity, frequency of endogenous analyte detection (FEAD), correlation between platforms, and parallelism in measurement of cytokines using a serial dilution series. The single molecule array (Simoa™) ultra-sensitive platform (Quanterix), MESO V-Plex (Mesoscale Discovery), and Luminex xMAP® (Myriad) were conducted by their respective vendors, while Luminex® and Quantikine® high-sensitivity ELISA assays were evaluated by R&D System's Biomarker Testing Services. The assay with the highest sensitivity in detecting endogenous analytes across all analytes and clinical populations (i.e. the highest FEAD), was the Simoa™ platform. In contrast, more variable performance was observed for MESO V-plex, R&D Luminex® and Quantikine®, while Myriad's Luminex xMAP® exhibited low FEAD across all analytes and samples. Simoa™ also demonstrated high precision in detecting endogenous cytokines, as reflected in < 20 percent coefficient of variance (%CV) across replicate runs for samples from the healthy controls, PTSD patients, and PD patients. In contrast, MESO V-Plex, R&D Luminex® and Quantikine® had variable performance in terms of precision across cytokines. Myriad Luminex xMAP® could not be included in precision estimates because the vendor did not run samples in duplicate. For cross-platform performance comparisons, the highest cross-platform correlations were observed for IL-6 such that all platforms - except for Myriad's Luminex xMAP® - had strong correlations with one another in measurements of IL-6 (r range = 0.59 - 0.86). For the other cytokines, there was low to no correlation across platforms, such that reported measurements of IL-1β, TNF-α, and IFN-γ varied across assays. Taken together, these findings provide novel evidence that the choice of immunoassay could greatly impact reported cytokine findings. The current study provides crucial information on the variability in performance between platforms and across immunoassays that may help inform the selection of assay in future research studies. Further, the results emphasize the need for performing comparative evaluations of immunoassays as new technologies emerge over time, particularly given the lack of reference standards for the quantitative assessments of cytokines.

Indexed as

BiomarkerBLQ, below limit of quantificationCV, coefficient of varianceCytokineFEAD, frequency of endogenous analyte detectionIFN-γ, interferon-γIL-1β, interleukin-1βIL-6, interleukin-6ImmunoassayIUGB, Indiana University Genetics BiobankLLOD, lower limit of detectionLLOQ, lower limit of quantificationMSD, Mesoscale DiscoveryParkinson’s diseasePBMC, peripheral blood mononuclear cellsPD, Parkinson’s diseasePMA, phorbol myristate acetatePost-traumatic stress disorderPTSD, post-traumatic stress disorderTNF-α, tumor necrosis factor-αULOD, upper limit of detectionULOQ, upper limit of quantificationUltrasensitive technologies

Identifiers

PMID33604555
PMCPMC7885879
OpenAlexW3021624891

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.