AI Article Synopsis

  • Protein biomarker studies currently face challenges due to the absence of standardized measurement practices that ensure quality and reliability across various testing methods, particularly in immunoassays.
  • A pilot study created a quality control panel with six non-human protein standards to assess the detection accuracy in both "normal" and "diseased" human plasma samples using the Meso Scale Discovery® platform.
  • Results showed that some proteins produced consistent signals regardless of the sample matrix, indicating their potential as reliable indicators for assessing assay performance, while others highlighted the effects of sample variation on detection reliability.

Article Abstract

Background: Protein biomarker studies are currently hampered by a lack of measurement standards to demonstrate quality, reliability and comparability across multiple assay platforms. This is especially pertinent for immunoassays where multiple formats for detecting target analytes are commonly used.

Findings: In this pilot study a generic panel of six non-human protein standards (50 - 10^7 pg/mL) of varying abundance was prepared as a quality control (QC) material. Simulated "normal" and "diseased" panels of proteins were prepared in pooled human plasma and incorporated into immunoassays using the Meso Scale Discovery® (MSD®) platform to illustrate reliable detection of the component proteins. The protein panel was also evaluated as a spike-in material for a model immunoassay involving detection of ovarian cancer biomarkers within individual human plasma samples. Our selected platform could discriminate between two panels of the proteins exhibiting small differences in abundance. Across distinct experiments, all component proteins exhibited reproducible signal outputs in pooled human plasma. When individual donor samples were used, half the proteins produced signals independent of matrix effects. These proteins may serve as a generic indicator of platform reliability.Each of the remaining proteins exhibit differential signals across the distinct samples, indicative of sample matrix effects, with the three proteins following the same trend. This subset of proteins may be useful for characterising the degree of matrix effects associated with the sample which may impact on the reliability of quantifying target diagnostic biomarkers.

Conclusions: We have demonstrated the potential utility of this panel of standards to act as a generic QC tool for evaluating the reproducibility of the platform for protein biomarker detection independent of serum matrix effects.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3162916PMC
http://dx.doi.org/10.1186/1756-0500-4-281DOI Listing

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