Background: Pulmonary Embolism (PE) is a potentially life-threatening condition that is characterized by one or several blood clots blocking the arteries in the lungs. The existing diagnostic tools for PE have their shortcomings, highlighting the importance of investigating new diagnostic methods. The development of non-invasive methods to collect microparticles from exhaled breath has opened possibilities to explore new potential biomarkers. SensAbues® is a sampling device that utilizes electrostatic filters to capture microparticles from the exhaled breath. The objective of this project was twofold: firstly, to assess the suitability of SensAbues® sampling device for a future proteomics study where the goal is to identify biomarkers for PE; and secondly, to evaluate the efficacy of various extraction solutions in retrieving proteins from the electrostatic filters. Materials and methods: Samples were collected from three healthy volunteers using the SensAbues® device. The electrostatic filters were then extracted using either PBS or 15% ethanol and the protein content was then estimated using a modified Bradford method. Additionally, two blank SensAbues® filter extracts, from PBS and 15% ethanol were analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Results: The attempts to evaluate extraction solutions using the Bradford method were unsuccessful, as all the samples yielded negative values. The filter-blank extracts analyzed with LC-MS/MS contained a significant amount of polyethylene glycols of varying sizes. Conclusion: The polyethylene glycols from the SensAbues® filters may have interfered with the Bradford method. Polyethylene glycols can also interfere with proteins, making the SensAbues® sampling device unsuitable for the prospective proteomics study.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-531138 |
| Date | January 2024 |
| Creators | Elsert, Pontus |
| Publisher | Uppsala universitet, Institutionen för medicinsk cellbiologi, Mittuniversitetet |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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