Background: Multiplexed protein analysis platforms are a novel and efficient way to characterize biomarkers in a variety of biological samples. Few studies have compared protein quantitation and reproducibility of results across platforms. We utilize a novel nasosorption technique to collect nasal epithelial lining fluid (NELF) from healthy subjects, and compare the detection of proteins in NELF across three commonly used platforms.
Methods: NELF was collected from both nares of twenty healthy subjects using an absorbent fibrous matrix and analyzed using three different protein analysis platforms: Luminex, Meso Scale Discovery (MSD), and Olink. Twenty-three protein analytes were shared across two or more platforms, and correlations across platforms were assessed using Spearman correlations.
Results: Among the twelve proteins represented on all three platforms, IL1⍺ and IL6 were very highly correlated (Spearman correlation coefficient [r] ≥ 0.9); CCL3, CCL4, and MCP1 were highly correlated (r ≥ 0.7); and IFNɣ, IL8, and TNF⍺ were moderately correlated (r ≥ 0.5). Four proteins (IL2, IL4, IL10, IL13) were poorly correlated across at least two platform comparisons (r < 0.5); for two of these proteins (IL10 and IL13), the majority of observations were below the limits of detection for Olink and Luminex.
Discussion: Multiplexed protein analysis platforms are a promising method for analyzing nasal samples for biomarkers of interest in respiratory health research. For most proteins evaluated, there was good correlation across platforms, although results were less consistent for low abundance proteins. Of the three platforms tested, MSD had the highest sensitivity for analyte detection.
Keywords: Inflammatory biomarkers; Nasal epithelial lining fluid; Protein analysis platforms; Proteomics.
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