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      A Novel Utility to Correct for Plate/Batch/Lot and Nonspecific Binding Artifacts in Luminex Data

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          Abstract

          Cytokines and other secreted soluble proteins are routinely assayed as fluorescence intensities on the Luminex (Luminex, Austin, TX) platform. As with any immunoassay, a portion of the measured Ab binding can be nonspecific. Use of spiked-in microbead controls (e.g., AssayChex Process, Control Panel; Radix Biosolutions, Georgetown, TX) can determine the level of nonspecific binding on a per specimen basis. A statistical approach for correction of this assay’s nonspecific binding artifact was first described in earlier work. The current paper describes a novel utility written in the R language ( https://www.r-project.org ), that refines correction for nonspecific binding in three important ways: 1) via local polynomial regression, the utility allows for curvature in relationships between soluble protein median fluorescence intensities and nonspecific binding median fluorescence intensities; 2) to stabilize correction, the fit of the nonlinear regression function is obtained via repeated cross-validation; and 3) the utility addresses possible bias due to technical error in measured nonspecific binding. The utility first logarithm transforms and then removes plate/batch/lot artifacts from median fluorescence intensities prior to correction for nonspecific binding, even when plates/batches/lots are unbalanced with respect to experimental factors of interest. Continuous (e.g., age) and categorical (e.g., diagnosis) covariates are accommodated in plate/batch/lot artifact correction. We present application of the utility to a panel of 62 cytokines in a sample of human patients diagnosed with systemic sclerosis and to an experiment that examined multiple lots of a human 51-cytokine panel. The R script for our new utility is publicly available for download from the web.

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          Is Open Access

          Influence of Age and Other Factors on Cytokine Expression Profiles in Healthy Children—A Systematic Review

          Cytokines have attracted much attention as diagnostic biomarkers for infectious and inflammatory diseases in recent years. However, understanding of maturation and normal age-associated values is limited. This review summarizes evidence on the influence of age and other factors on expression profiles of soluble and intracellular cytokines in healthy children. IFN-γ, IL-6, IL-10, and TNF-α are the most frequently investigated cytokines, of which an age-associated increase was shown consistently for IFN-γ and TNF-α. An age-associated decrease of IL-13 was seen in resource-limited settings. For other cytokines, including IL-1RA, IL-2, and IL-10, uni- or bimodal curves have been described, and results were influenced by study setting. To conclude, despite limited current understanding of the development of cytokine expression, age clearly influences expression profiles in healthy children. Dynamics of cytokine expression in childhood need to be considered when these are measured in diagnostic assays or as biomarkers. In addition, cytokine-targeting agents may require adjustment for normal values when used in children.
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            An alternative local polynomial estimator for the error-in-variables problem.

            . Huang (2017)
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              Author and article information

              Contributors
              (View ORCID Profile)
              Journal
              The Journal of Immunology
              J.I.
              The American Association of Immunologists
              0022-1767
              1550-6606
              June 08 2020
              June 15 2020
              June 15 2020
              May 06 2020
              : 204
              : 12
              : 3425-3433
              Article
              10.4049/jimmunol.2000017
              7891557
              32376648
              6a355dcf-5a93-4a93-848d-56cff852a9b0
              © 2020
              History

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