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Wiley, Rapid Communications in Mass Spectrometry, 20(35), 2021

DOI: 10.1002/rcm.9166

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Inflammation protein quantification by multiple reaction monitoring mass spectrometry in lipopolysaccharide‐stimulated THP‐1 cells

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

RationaleInflammation is a cascade of events mediated by a cytokine network triggering the cellular response. In order to monitor the modulation of the crucial inflammatory proteins, e.g., Tumour Necrosis Factor‐α (TNF‐α), Interferon‐γ (INF‐γ), Interleukin‐8 (IL‐8) and Interleukin‐10 (IL‐10), upon stimulation with endotoxins, differentiated and undifferentiated THP‐1 cells were treated with lipopolysaccharides (LPSs) from E. coli, key cell wall components of Gram‐negative bacteria.MethodsThe multiple reaction monitoring mass spectrometry (MRM‐MS) method was optimized by using the standard proteins to be quantified, in order to construct external calibration curves and define the analytical parameters. The developed method was used to quantify the above‐mentioned inflammatory proteins in THP‐1 differentiated cells upon stimulation with LPSs with high accuracy, sensitivity, and robustness.ResultsThe analysis of such proteins in MRM mode allowed the kinetics of stimulation along the time up to 24 h to be followed and the MS results were found to be comparable with those obtained by Western‐blotting. A significant increase in TNF‐α release triggered a cascade mechanism leading to the production of INF‐γ and IL‐8. IL‐10, instead, was found to be constant throughout the process.ConclusionsThe developed MRM‐MS method allowed the quantification of TNF‐α, INF‐γ, IL‐8 and IL‐10 along a time‐course from 2 to 24 h. Hence, a trace of the kinetics of the inflammatory response in THP‐1 cells upon stimulation with E. coli LPSs was obtained. Finally, the extensibility of the developed MRM method to serum samples and other matrices demonstrated the versatility of the approach and the possibility to quantify multiple target proteins in different biological samples by using a few microliters in a single analysis.