Pre-analytical sample handling effects on tear fluid protein levels

生物标志物 生物标志物发现 规范化(社会学) 色谱法 眼泪 生物医学工程 医学 化学 蛋白质组学 外科 生物化学 人类学 基因 社会学
作者
Marlies Gijs,Sinthuja Arumugam,Nienke van de Sande,Carroll A.B. Webers,Swaminathan Sethu,Arkasubhra Ghosh,Rohit Shetty,Jelle Vehof,Rudy M.M.A. Nuijts
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:13 (1): 1317-1317 被引量:41
标识
DOI:10.1038/s41598-023-28363-z
摘要

Abstract Tear fluid is emerging as a source of non-invasive biomarkers, both for ocular and systemic conditions. Accurate quantification of tear proteins can be improved by standardizing methods to collect and process tear fluid. The aim of this study was to determine sample handling factors that may influence the tear protein biomarker profile. Tear fluid was collected using Schirmer’s strips. Tear proteins were extracted by elution through centrifugation. Total protein content was determined using the bicinchoninic acid assay. Key concepts that apply to the entire sample processing cycle are tear sampling, tear storage, protein extraction and data normalization. Differences in wetting or migration length were observed between Schirmer’s strips from different manufacturers, and between protein-free and protein-rich solutions. One unit of migration length (mm) did not correspond to one unit of volume (µL). A positive correlation (r = 0.6671, p < 0.0001) was observed between migration length and total tear protein content. The most beneficial storage conditions were strips that were not stored (+ 21.8%), or underwent ‘wet’ storage (+ 11.1%). Protein recovery was the highest in 400 µL extraction buffer and independent of protein molecular weight. This study helps to explain inter- and intra-variability that is often seen with tear biomarker research. This information is critical to ensure accuracy of test results, as tear biomarkers will be used for patient management and in clinical trials in the near future. This study also highlights the need for standardization of Schirmer’s strip manufacturing, tear fluid processing and analyte concentration normalization.
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