Identification of Phospholipids Relevant to Cancer Tissue Using Differential Ion Mobility Spectrometry.

Autor: Sioris P; Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland.; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland., Mäkelä M; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland.; Olfactomics Ltd., 33720 Tampere, Finland., Kontunen A; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland.; Olfactomics Ltd., 33720 Tampere, Finland., Karjalainen M; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland.; Olfactomics Ltd., 33720 Tampere, Finland., Vehkaoja A; Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland.; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland., Oksala N; Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland.; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland.; Olfactomics Ltd., 33720 Tampere, Finland.; Centre for Vascular Surgery and Interventional Radiology, Tampere University Hospital, 33520 Tampere, Finland., Roine A; Faculty of Medicine and Health Technology, Tampere University, 33520 Tampere, Finland.; TAYS Cancer Centre, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, 33521 Tampere, Finland.; Olfactomics Ltd., 33720 Tampere, Finland.
Jazyk: angličtina
Zdroj: International journal of molecular sciences [Int J Mol Sci] 2024 Oct 13; Vol. 25 (20). Date of Electronic Publication: 2024 Oct 13.
DOI: 10.3390/ijms252011002
Abstrakt: Phospholipids are the main building components of cell membranes and are also used for cell signaling and as energy storages. Cancer cells alter their lipid metabolism, which ultimately leads to an increase in phospholipids in cancer tissue. Surgical energy instruments use electrical or vibrational energy to heat tissues, which causes intra- and extracellular water to expand rapidly and degrade cell structures, bursting the cells, which causes the formation of a tissue aerosol or smoke depending on the amount of energy used. This gas phase analyte can then be analyzed via gas analysis methods. Differential mobility spectrometry (DMS) is a method that can be used to differentiate malignant tissue from benign tissues in real time via the analysis of surgical smoke produced by energy instruments. Previously, the DMS identification of cancer tissue was based on a 'black box method' by differentiating the 2D dispersion plots of samples. This study sets out to find datapoints from the DMS dispersion plots that represent relevant target molecules. We studied the ability of DMS to differentiate three subclasses of phospholipids (phosphatidylcholine, phosphatidylinositol, and phosphatidylethanolamine) from a control sample using a bovine skeletal muscle matrix with a 5 mg addition of each phospholipid subclass to the sample matrix. We trained binary classifiers using linear discriminant analysis (LDA) and support vector machines (SVM) for sample classification. We were able to identify phosphatidylcholine, -inositol, and -ethanolamine with SVM binary classification accuracies of 91%, 73%, and 66% and with LDA binary classification accuracies of 82%, 74%, and 72%, respectively. Phosphatidylcholine was detected with a reliable classification accuracy, but ion separation setups should be adjusted in future studies to reliably detect other relevant phospholipids such as phosphatidylinositol and phosphatidylethanolamine and improve DMS as a microanalysis method and identify other phospholipids relevant to cancer tissue.
Databáze: MEDLINE
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