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

Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE

Original Publication: Basel, Switzerland : MDPI, [2000-

Ion Mobility Spectrometry*/methods ; Phospholipids*/metabolism ; Phospholipids*/analysis ; Neoplasms*/metabolism; Animals ; Support Vector Machine ; Cattle ; Discriminant Analysis ; Humans ; Muscle, Skeletal/metabolism ; Phosphatidylethanolamines/metabolism ; Phosphatidylethanolamines/analysis

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.

Anal Bioanal Chem. 2015 Jan;407(3):991-1002. (PMID: 25352274)
Breast Cancer Res. 2017 May 23;19(1):59. (PMID: 28535818)
Anal Chim Acta. 2022 Apr 15;1202:339659. (PMID: 35341512)
J Lipid Res. 2014 Nov;55(11):2432-42. (PMID: 25225680)
Trends Biochem Sci. 2016 Mar;41(3):211-218. (PMID: 26778478)
Biochim Biophys Acta Biomembr. 2017 Sep;1859(9 Pt B):1558-1572. (PMID: 28411170)
Cell Prolif. 2008 Feb;41(1):59-85. (PMID: 18211286)
Analyst. 2015 Oct 21;140(20):6775-81. (PMID: 26205889)
Cancer Res. 2011 May 1;71(9):3236-45. (PMID: 21415164)
Eur J Surg Oncol. 2019 Feb;45(2):141-146. (PMID: 30366874)
Molecules. 2017 Nov 14;22(11):. (PMID: 29135918)
Biophys J. 1986 Feb;49(2):459-68. (PMID: 3955180)
J Chem Sci (Bangalore). 2022;134(1):2. (PMID: 34955617)
Analyst. 2016 Jun 21;141(12):3832-41. (PMID: 27041214)
ACS Cent Sci. 2019 May 22;5(5):768-780. (PMID: 31139713)
Ann Biomed Eng. 2018 Aug;46(8):1091-1100. (PMID: 29691788)
Traffic. 2015 Jan;16(1):1-18. (PMID: 25243850)
J Neurosurg. 2019 Jun 14;133(1):100-106. (PMID: 31200382)
Science. 2010 Dec 3;330(6009):1340-4. (PMID: 21127244)
World J Biol Chem. 2012 Aug 26;3(8):167-74. (PMID: 22937213)
Biochem Pharmacol. 2022 Dec;206:115296. (PMID: 36241095)
Cancers (Basel). 2022 Jan 04;14(1):. (PMID: 35008401)
Proteomes. 2023 Oct 24;11(4):. (PMID: 37987315)
Int J Mol Sci. 2022 May 09;23(9):. (PMID: 35563655)
Mol Oncol. 2014 Feb;8(1):39-49. (PMID: 24112879)
PLoS One. 2018 Apr 12;13(4):e0195274. (PMID: 29649244)
Curr Oncol. 2022 May 04;29(5):3252-3258. (PMID: 35621655)
Int J Radiat Biol. 2019 Jul;95(7):912-919. (PMID: 30822194)
Talanta. 2021 Apr 1;225:121926. (PMID: 33592698)
Mol Cell Biochem. 2013 Feb;374(1-2):223-32. (PMID: 23180247)
Front Immunol. 2022 Feb 15;13:768606. (PMID: 35250970)

Keywords: cancer; differential mobility spectrometry; field asymmetric ion mobility spectrometry; phospholipid

0 (Phospholipids)
0 (Phosphatidylethanolamines)

Date Created: 20241026 Date Completed: 20241026 Latest Revision: 20241028

20241028

PMC11508011

10.3390/ijms252011002

39456784