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Touch spray mass spectrometry using medical swabs is an ambient ionization technique (ionization of unprocessed sample in the open air) that has potential intraoperative application in quickly identifying the disease state of tissue and in better characterizing the resection margin. To explore this potential, we studied 29 human brain tumor specimens and obtained evidence that this technique can provide diagnostic molecular information that is relevant to brain cancer. Touch spray using medical swabs involves the physical sampling of tissue using a medical swab on a spatial scale of a few mm2 with subsequent ionization occurring directly from the swab tip upon addition of solvent and application of a high voltage. Using a tertiary mixture of acetonitrile, N,N-dimethylformamide, and ethanol, membrane-derived phospholipids and oncometabolites are extracted from the tissue, incorporated into the sprayed microdroplets, vacuumed into the mass spectrometer, and characterized in the resulting mass spectra. The tumor cell load was assessed from the complex phospholipid pattern in the mass spectra and also separately by measurement of N-acetylaspartate. Mutation status of the isocitrate dehydrogenase gene was determined via detection of the oncometabolite 2-hydroxyglutarate. The lack of sample pretreatment makes touch spray mass spectrometry using medical swabs a feasible intraoperative strategy for rapid surgical assessment. [ABSTRACT FROM AUTHOR]

Canine non-Hodgkin's lymphoma (NHL) is a heterogeneous group of cancers representing approximately 15% of all canine cancers. Further, canine NHL mimics human disease in regards to histopathology and clinical behavior and could function as a comparative model. Diagnosis is currently performed by histopathological evaluation of surgical biopsy specimens and fine needle aspirate (FNA) cytology, an alternative and less invasive method for diagnosis. Desorption electrospray ionization – mass spectrometry (DESI-MS) imaging was performed on tissue sections of surgical biopsies and FNA smears. Mass spectra acquired from normal lymph nodes and NHL tumors were explored using multivariate statistics (e.g. principal component analysis). Tissue sections yielded a predicted sensitivity of 100% for normal and 93.1% for tumor. Further, preliminary results suggest B-cell and T-cell lymphoma can be discriminated (CV sensitivity of 95.5% and 85.7%, respectively). Normal and B-cell NHL FNA samples analyzed by DESI produced spectra that were similar to spectra obtained from surgical biopsies. FNA samples were evaluated using a PCA-LDA classification system built using tissue section data, exploring if the chemical information obtained from the different sample types is similar and whether DESI-MS performed on FNA samples is of diagnostic value. FNA prediction rate for normal (85.7%) and B-cell NHL (89.3%) indicated that DESI-MS analysis of FNA, not previously explored, could provide rapid preliminary diagnosis. Certainly, MS provides complementary molecular information to be used in conjunction with histopathology/cytology, potentially improving diagnostic confidence. The methodology outlined here is applicable to canine NHL, further supports canine models of human NHL, and translation to humans is envisioned. [ABSTRACT FROM AUTHOR]

Strep throat causing Streptococcus pyogenes was detected in vitro and in simulated clinical samples by performing touch spray ionization-mass spectrometry. MS analysis took only seconds to reveal characteristic bacterial and human lipids. Medical swabs were used as the substrate for ambient ionization. This work constitutes the initial step in developing a non-invasive MS-based test for clinical diagnosis of strep throat. It is limited to the single species, S. pyogenes, which is responsible for the vast majority of cases. The method is complementary to and, with further testing, a potential alternative to current methods of point-of-care detection of S. pyogenes. [ABSTRACT FROM AUTHOR]

Desorption electrospray ionization (DESI) is an ambient mass spectrometry (MS) technique that can be operated in an imaging mode. It is known to provide valuable information on disease state and grade based on lipid profiles in tissue sections. Comprehensive exploration of the spatial and chemical information contained in 2D MS images requires further development of methods for data treatment and interpretation in conjunction with multivariate analysis. In this study, we employ an interactive approach based on principal component analysis (PCA) to interpret the chemical and spatial information obtained from MS imaging of human bladder, kidney, germ cell and prostate cancer and adjacent normal tissues. This multivariate strategy facilitated distinction between tumor and normal tissue by correlating the lipid information with pathological evaluation of the same samples. Some common lipid ions, such as those of m/z 885.5 and m/z 788.5, nominally PI(18 : 0/20 : 4) and PS(18 : 0/18 : 1), as well as ions of free fatty acids and their dimers, appeared to be highly characterizing for different types of human cancers, while other ions, such as those of m/z 465.5 (cholesterol sulfate) for prostate cancer tissue and m/z 795.5 (seminolipid 16 : 0/16 : 0) for germ tissue, appeared to be extremely selective for the type of tissue analyzed. These data confirm that lipid profiles can reflect not only the disease/health state of tissue but also are characteristic of tissue type. The manual interactive strategy presented here is particularly useful to visualize the information contained in hyperspectral MS images by automatically connecting regions of PCA score space to pixels of the 2D physical object. The procedures developed in this study consider all the spectral variables and their inter-correlations, and guide subsequent investigations of the mass spectra and single ion images to allow one to maximize characterization between different regions of any DESI-MS image.