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Comparison of 2 Sample Processing Methods and 9 Commercial Immunoassays for the Detection of Interleukin-1α in the Serum of Patients with Abdominal Aortic Aneurysm. | LitMetric

AI Article Synopsis

  • The study aimed to assess the reliability of 9 different immunoassays for measuring serum IL-1α in patients with abdominal aortic aneurysm, focusing on the impact of 2 sample processing methods.
  • Despite all assays detecting IL-1α signals, most results had undetectable titer concentrations, highlighting variability across manufacturers.
  • The findings suggest that researchers should consider sample and assay differences, as they can lead to inaccuracies in cytokine measurement and misinterpretations of inflammation-related health conditions.

Article Abstract

Background: For a cytokine to have a role as a clinically useful biomarker, it must be measureable in a practical, reliable, and reproducible manner. Furthermore, assays from different manufacturers should produce comparable results. The aim of this paper was to examine the effect of 2 sample processing methodologies and compare 9 commercially available immunoassays for their measurement of serum interleukin (IL)-1α in patients with abdominal aortic aneurysm.

Methods: Two sample processing methodologies and 9 manufacturers' immunoassays were compared. Each immunoassay was also tested for detection of both IL-1α isoforms.

Results: A positive signal for IL-1α was found in all serum samples, in all immunoassays, using both processing methods. In the majority, titer concentrations were unquantifiable with values below manufacturers' detectable range. Variability in titer concentrations was seen across all immunoassays. With the exception of 1 immunoassay, all were able to detect both IL-1α isoforms.

Conclusions: Researchers wishing to measure serum cytokines levels should be aware that differences in sample processing methods and manufacturers' immunoassays can affect the results. This may result in misleading conclusions being drawn about biological processes underpinning a wide range of inflammatory diseases.

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Source
http://dx.doi.org/10.1016/j.avsg.2017.10.009DOI Listing

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