scholarly journals Mass Spectrometry (Imaging) for Detection and Identification of Cyclic AMPs: Focus on Human Neutrophil Peptides (HNPs)

2021 ◽  
Author(s):  
Eline Berghmans ◽  
Geert Baggerman
Keyword(s):  
Mass Spectrometry ◽  
Human Neutrophil ◽  
Cytotoxic Effect ◽  
Mass Spectrometry Imaging ◽  
Antitumor Effect ◽  
Electron Transfer Dissociation ◽  
Drug Candidates ◽  
Structure Detection ◽  
Detection And Identification ◽  
Interesting Candidate

Antimicrobial peptides (AMPs) are known best for their role in innate immunity against bacteria, viruses, parasites and fungi. However, not only are they showing increasing promise as potential antimicrobial drug candidates, recently, it has been reported that certain AMPs also show a cytotoxic effect against cancer cells. Their possible antitumor effect could make AMPs interesting candidate cancer biomarkers and a possible lead for new anticancer therapy. Due to their cyclic structure, detection and identification of AMPs is challenging, however, mass spectrometry (imaging; MSI) has been shown as a powerful tool for visualization and identification of (unknown) cyclic AMPs. In this chapter, we will discuss how mass spectrometry (imaging), combined with the use of electron-transfer dissociation (ETD) as fragmentation technique, can be used as a reliable method to identify AMPs in their native cyclic state. Using this approach, we have previously detected and identified human neutrophil peptides (HNPs) as important AMPs in cancer, of which a detailed bacterial, viral and cancer-related overview will be presented.

scholarly journals Ambient Mass Spectrometry Imaging Metabolomics Method Provides Novel Insights into the Action Mechanism of Drug Candidates

2015 ◽  
Vol 87 (10) ◽  
pp. 5372-5379 ◽  
Author(s):  
Jingjing He ◽  
Zhigang Luo ◽  
Lan Huang ◽  
Jiuming He ◽  
Yi Chen ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
Ambient Mass Spectrometry ◽  
Action Mechanism ◽  
Drug Candidates

scholarly journals Quantitative mass spectrometry imaging of drugs and metabolites: a multiplatform comparison

2021 ◽  
Vol 413 (10) ◽  
pp. 2779-2791
Author(s):  
Lieke Lamont ◽  
Darya Hadavi ◽  
Brent Viehmann ◽  
Bryn Flinders ◽  
Ron M. A. Heeren ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Standard Deviation ◽  
Relative Standard Deviation ◽  
Mass Spectrometry Imaging ◽  
Pharmaceutical Compounds ◽  
Quantitative Mass Spectrometry ◽  
Tissue Model ◽  
Drug Candidates ◽  
Relative Standard ◽  
3D Printed

AbstractMass spectrometry imaging (MSI) provides insight into the molecular distribution of a broad range of compounds and, therefore, is frequently applied in the pharmaceutical industry. Pharmacokinetic and toxicological studies deploy MSI to localize potential drugs and their metabolites in biological tissues but currently require other analytical tools to quantify these pharmaceutical compounds in the same tissues. Quantitative mass spectrometry imaging (Q-MSI) is a field with challenges due to the high biological variability in samples combined with the limited sample cleanup and separation strategies available prior to MSI. In consequence, more selectivity in MSI instruments is required. This can be provided by multiple reaction monitoring (MRM) which uses specific precursor ion-product ion transitions. This targeted approach is in particular suitable for pharmaceutical compounds because their molecular identity is known prior to analysis. In this work, we compared different analytical platforms to assess the performance of MRM detection compared to other MS instruments/MS modes used in a Q-MSI workflow for two drug candidates (A and B). Limit of detection (LOD), linearity, and precision and accuracy of high and low quality control (QC) samples were compared between MS instruments/modes. MRM mode on a triple quadrupole mass spectrometer (QqQ) provided the best overall performance with the following results for compounds A and B: LOD 35.5 and 2.5 μg/g tissue, R2 0.97 and 0.98 linearity, relative standard deviation QC <13.6%, and 97–112% accuracy. Other MS modes resulted in LOD 6.7–569.4 and 2.6–119.1 μg/g tissue, R2 0.86–0.98 and 0.86–0.98 linearity, relative standard deviation QC < 19.4 and < 37.5%, and 70–356% and 64–398% accuracy for drug candidates A and B, respectively. In addition, we propose an optimized 3D printed mimetic tissue model to increase the overall analytical throughput of our approach for large animal studies. The MRM imaging platform was applied as proof-of-principle for quantitative detection of drug candidates A and B in four dog livers and compared to LC-MS. The Q-MSI concentrations differed <3.5 times with the concentrations observed by LC-MS. Our presented MRM-based Q-MSI approach provides a more selective and high-throughput analytical platform due to MRM specificity combined with an optimized 3D printed mimetic tissue model. Graphical abstract

scholarly journals Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect as a Filter in Mass Spectrometry Imaging

2019 ◽  
Author(s):  
Christopher Kune ◽  
Andréa Mc Cann ◽  
Raphaël La Rocca ◽  
Anthony Arguelles Arias ◽  
Mathieu Tiquet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
Mass Spectrometry Data ◽  
Mass Defect ◽  
Imaging Data ◽  
Exact Mass ◽  
Detection And Identification ◽  
Efficient Data ◽  
Kendrick Mass Defect ◽  
Related Compounds

Draft article concerning our work about the use of Kendrick mass defect for filtering mass spectrometry imaging data. Kendrick mass defect (KMD) analysis is widely used for helping the detection and identification of chemically related compounds based on exact mass measurements. We report here the use of KMD as a criterion for filtering complex mass spectrometry data. The method enables an automated, faster and efficient data processing, enabling the reconstruction of 2D distributions of family of homologous compound in MSI images. We show that the KMD filtering, based on a homemade software, is suitable for low resolution and high resolution MSI data. This method has been successfully applied to two different types of samples, bacteria co-cultures and brain tissue section.

scholarly journals Sample preparation strategy for the detection of steroid-like compounds using MALDI mass spectrometry imaging: pulmonary distribution of budesonide as a case study

2021 ◽  
Author(s):  
Riccardo Zecchi ◽  
Pietro Franceschi ◽  
Laura Tigli ◽  
Davide Amidani ◽  
Chiara Catozzi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Sample Preparation ◽  
Mass Spectrometry Imaging ◽  
Maldi Mass Spectrometry ◽  
Adult Rabbit ◽  
Chronic Obstructive ◽  
Ionization Mass ◽  
Obstructive Pulmonary Disease ◽  
Imaging Protocol ◽  
Girard’S Reagent

AbstractCorticosteroids as budesonide can be effective in reducing topic inflammation processes in different organs. Therapeutic use of budesonide in respiratory diseases, like asthma, chronic obstructive pulmonary disease, and allergic rhinitis is well known. However, the pulmonary distribution of budesonide is not well understood, mainly due to the difficulties in tracing the molecule in lung samples without the addition of a label. In this paper, we present a matrix-assisted laser desorption/ionization mass spectrometry imaging protocol that can be used to visualize the pulmonary distribution of budesonide administered to a surfactant-depleted adult rabbit. Considering that budesonide is not easily ionized by MALDI, we developed an on-tissue derivatization method with Girard’s reagent P followed by ferulic acid deposition as MALDI matrix. Interestingly, this sample preparation protocol results as a very effective strategy to raise the sensitivity towards not only budesonide but also other corticosteroids, allowing us to track its distribution and quantify the drug inside lung samples. Graphical abstract

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