1
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Fei X, Du X, Wang J, Liu J, Gong Y, Zhao Z, Cao Z, Fu Q, Zhu Y, Dong L, Dong B, Pan J, Sun W, Xie S, Xue W. Precise diagnosis and risk stratification of prostate cancer by comprehensive serum metabolic fingerprints: a prediction model study. Int J Surg 2024; 110:1450-1462. [PMID: 38181121 PMCID: PMC10942223 DOI: 10.1097/js9.0000000000001033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/11/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVES Prostate cancer (PCa) is one of the most common malignancies in men worldwide and has caused increasing clinical morbidity and mortality, making timely diagnosis and accurate staging crucial. The authors introduced a novel approach based on mass spectrometry for precise diagnosis and stratification of PCa to facilitate clinical decision-making. METHODS Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry analysis of trace blood samples was combined with machine learning algorithms to construct diagnostic and stratification models. A total of 367 subjects, comprising 181 with PCa and 186 with non-PCa were enrolled. Additional 60 subjects, comprising 30 with PCa and 30 with non-PCa were enrolled as an external cohort for validation. Subsequent metabolomic analysis was carried out using Autoflex MALDI-TOF, and the mass spectra were introduced into various algorithms to construct different models. RESULTS Serum metabolic fingerprints were successfully obtained from 181 patients with PCa and 186 patients with non-PCa. The diagnostic model based on the eight signals demonstrated a remarkable area under curve of 100% and was validated in the external cohort with the area under curve of 87.3%. Fifteen signals were selected for enrichment analysis, revealing the potential metabolic pathways that facilitate tumorigenesis. Furthermore, the stage prediction model with an overall accuracy of 85.9% precisely classified subjects with localized disease and those with metastasis. The risk stratification model, with an overall accuracy of 89.6%, precisely classified the subjects as low-risk and high-risk. CONCLUSIONS Our study facilitated the timely diagnosis and risk stratification of PCa and provided new insights into the underlying mechanisms of metabolic alterations in PCa.
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Affiliation(s)
| | | | | | | | | | - Zejun Zhao
- Department of Ultrasound, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Zhibin Cao
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, People’s Republic of China
| | - Qibo Fu
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, People’s Republic of China
| | | | | | | | | | - Wenshe Sun
- Department of Urology, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai
| | - Shaowei Xie
- Department of Ultrasound, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine
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2
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Jiang R, Rempel DL, Gross ML. Toward a MALDI in-source decay (ISD) method for top-down analysis of protein footprinting. Eur J Mass Spectrom (Chichester) 2023; 29:292-302. [PMID: 37750197 DOI: 10.1177/14690667231202695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Irreversible protein footprinting is a mass spectrometry-based approach in which solvent-accessible sites of a protein are modified to assess high-order protein structure. Structural insights can be gained by determining the position and extents of modification. The usual approach to obtain the "footprint" is to analyze the protein through bottom-up LC-MS/MS. In this approach, the proteins are digested to yield a mixture of peptides that are then separated by LC before locating the modification sites by MS/MS. This process consumes substantial amounts of time and is difficult to accelerate for applications that require quick and high-throughput analysis. Here, we describe employing matrix-assisted laser desorption/ionization (MALDI) in-source decay (ISD) to analyze a footprinted small test protein (ubiquitin) via a top-down approach. Matrix-assisted laser desorption/ionization is easily adapted for high-throughput analysis, and top-down strategies can avoid lengthy proteolysis and LC separation. We optimized the method with model peptides and then demonstrated its feasibility on ubiquitin submitted to two types of footprinting. We found that MALDI ISD can produce a comprehensive set of fragment ions for small proteins, affording footprinting information in a fast manner and giving results that agree with the established methods, and serve as a rough measure of protein solvent accessibility. To assist in the implementation of the MALDI approach, we developed a method of processing top-down ISD data.
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Affiliation(s)
- Ruidong Jiang
- Department of Chemistry, Washington University in St Louis, St Louis, MO, USA
| | - Don L Rempel
- Department of Chemistry, Washington University in St Louis, St Louis, MO, USA
| | - Michael L Gross
- Department of Chemistry, Washington University in St Louis, St Louis, MO, USA
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3
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Nwabufo CK, Aigbogun OP. The Role of Mass Spectrometry Imaging in Pharmacokinetic Studies. Xenobiotica 2022; 52:811-827. [PMID: 36048000 DOI: 10.1080/00498254.2022.2119900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Although liquid chromatography-tandem mass spectrometry is the gold standard analytical platform for the quantification of drugs, metabolites, and biomarkers in biological samples, it cannot localize them in target tissues.The localization and quantification of drugs and/or their associated metabolites in target tissues is a more direct measure of bioavailability, biodistribution, efficacy, and regional toxicity compared to the traditional substitute studies using plasma.Therefore, combining high spatial resolution imaging functionality with the superior selectivity and sensitivity of mass spectrometry into one analytical technique will be a valuable tool for targeted localization and quantification of drugs, metabolites, and biomarkers.Mass spectrometry imaging (MSI) is a tagless analytical technique that allows for the direct localization and quantification of drugs, metabolites, and biomarkers in biological tissues, and has been used extensively in pharmaceutical research.The overall goal of this current review is to provide a detailed description of the working principle of MSI and its application in pharmacokinetic studies encompassing absorption, distribution, metabolism, excretion, and toxicity processes, followed by a discussion of the strategies for addressing the challenges associated with the functional utility of MSI in pharmacokinetic studies that support drug development.
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Affiliation(s)
- Chukwunonso K Nwabufo
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Omozojie P Aigbogun
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada.,Department of Chemistry, University of Saskatchewan, Saskatoon, Canada
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4
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Harkin C, Smith KW, Cruickshank FL, Logan Mackay C, Flinders B, Heeren RMA, Moore T, Brockbank S, Cobice DF. On-tissue chemical derivatization in mass spectrometry imaging. Mass Spectrom Rev 2022; 41:662-694. [PMID: 33433028 PMCID: PMC9545000 DOI: 10.1002/mas.21680] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/03/2020] [Accepted: 12/15/2020] [Indexed: 05/04/2023]
Abstract
Mass spectrometry imaging (MSI) combines molecular and spatial information in a valuable tool for a wide range of applications. Matrix-assisted laser desorption/ionization (MALDI) is at the forefront of MSI ionization due to its wide availability and increasing improvement in spatial resolution and analysis speed. However, ionization suppression, low concentrations, and endogenous and methodological interferences cause visualization problems for certain molecules. Chemical derivatization (CD) has proven a viable solution to these issues when applied in mass spectrometry platforms. Chemical tagging of target analytes with larger, precharged moieties aids ionization efficiency and removes analytes from areas of potential isobaric interferences. Here, we address the application of CD on tissue samples for MSI analysis, termed on-tissue chemical derivatization (OTCD). MALDI MSI will remain the focus platform due to its popularity, however, alternative ionization techniques such as liquid extraction surface analysis and desorption electrospray ionization will also be recognized. OTCD reagent selection, application, and optimization methods will be discussed in detail. MSI with OTCD is a powerful tool to study the spatial distribution of poorly ionizable molecules within tissues. Most importantly, the use of OTCD-MSI facilitates the analysis of previously inaccessible biologically relevant molecules through the adaptation of existing CD methods. Though further experimental optimization steps are necessary, the benefits of this technique are extensive.
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Affiliation(s)
- Carla Harkin
- Mass Spectrometry Centre, Biomedical Sciences Research Institute (BMSRI), School of Biomedical SciencesUlster UniversityColeraineNorthern IrelandUK
| | - Karl W. Smith
- National High Magnetic Field Laboratory, Ion Cyclotron Resonance Facility (ICR)Florida State UniversityTallahasseeFloridaUSA
| | - Faye L. Cruickshank
- Scottish Instrumentation and Research Centre for Advanced Mass Spectrometry (SIRCAMS), EaStCHEM School of ChemistryUniversity of EdinburghScotlandUK
| | - C. Logan Mackay
- Scottish Instrumentation and Research Centre for Advanced Mass Spectrometry (SIRCAMS), EaStCHEM School of ChemistryUniversity of EdinburghScotlandUK
| | - Bryn Flinders
- Screening Division, Mass Spectrometry, Hair DiagnostixDutch Screening GroupMaastrichtThe Netherlands
| | - Ron M. A. Heeren
- Maastricht Multimodal Molecular Imaging Institute (M4I)University of MaastrichtMaastrichtThe Netherlands
| | - Tara Moore
- Genomic Medicine, Biomedical Sciences Research Institute (BMSRI), School of Biomedical SciencesUlster UniversityColeraineNorthern IrelandUK
| | | | - Diego F. Cobice
- Mass Spectrometry Centre, Biomedical Sciences Research Institute (BMSRI), School of Biomedical SciencesUlster UniversityColeraineNorthern IrelandUK
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5
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Solntceva V, Kostrzewa M, Larrouy-Maumus G. Detection of Species-Specific Lipids by Routine MALDI TOF Mass Spectrometry to Unlock the Challenges of Microbial Identification and Antimicrobial Susceptibility Testing. Front Cell Infect Microbiol 2021; 10:621452. [PMID: 33634037 PMCID: PMC7902069 DOI: 10.3389/fcimb.2020.621452] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 12/18/2020] [Indexed: 12/16/2022] Open
Abstract
MALDI-TOF mass spectrometry has revolutionized clinical microbiology diagnostics by delivering accurate, fast, and reliable identification of microorganisms. It is conventionally based on the detection of intracellular molecules, mainly ribosomal proteins, for identification at the species-level and/or genus-level. Nevertheless, for some microorganisms (e.g., for mycobacteria) extensive protocols are necessary in order to extract intracellular proteins, and in some cases a protein-based approach cannot provide sufficient evidence to accurately identify the microorganisms within the same genus (e.g., Shigella sp. vs E. coli and the species of the M. tuberculosis complex). Consequently lipids, along with proteins are also molecules of interest. Lipids are ubiquitous, but their structural diversity delivers complementary information to the conventional protein-based clinical microbiology matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) based approaches currently used. Lipid modifications, such as the ones found on lipid A related to polymyxin resistance in Gram-negative pathogens (e.g., phosphoethanolamine and aminoarabinose), not only play a role in the detection of microorganisms by routine MALDI-TOF mass spectrometry but can also be used as a read-out of drug susceptibility. In this review, we will demonstrate that in combination with proteins, lipids are a game-changer in both the rapid detection of pathogens and the determination of their drug susceptibility using routine MALDI-TOF mass spectrometry systems.
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Affiliation(s)
- Vera Solntceva
- MRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
| | | | - Gerald Larrouy-Maumus
- MRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
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6
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Enomoto H. Mass Spectrometry Imaging of Flavonols and Ellagic Acid Glycosides in Ripe Strawberry Fruit. Molecules 2020; 25:molecules25204600. [PMID: 33050295 PMCID: PMC7587173 DOI: 10.3390/molecules25204600] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/03/2020] [Accepted: 10/05/2020] [Indexed: 12/11/2022]
Abstract
Flavonols and ellagic acid glycosides are major phenolic compounds in strawberry fruit. They have antioxidant activity, show protective functions against abiotic and biotic stress, and provide health benefits. However, their spatial distribution in ripe fruit has not been understood. Therefore, matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry imaging (MSI) was performed to investigate their distribution in fruit tissues. Using strawberry extract, five flavonols, namely, three kaempferols and two quercetins, and two ellagic acid glycosides, were tentatively identified by MALDI-tandem MS. To investigate the tentatively identified compounds, MALDI-MSI and tandem MS imaging (MS/MSI) analyses were performed. Kaempferol and quercetin glycosides showed similar distribution patterns. They were mainly found in the epidermis, while ellagic acid glycosides were mainly found in the achene and in the bottom area of the receptacle. These results suggested that the difference in distribution pattern between flavonols and ellagic acid glycosides depends on the difference between their aglycones. Seemingly, flavonols play a role in protective functions in the epidermis, while ellagic acid glycosides play a role in the achene and in the bottom side of the receptacle, respectively. These results demonstrated that MALDI-MSI is useful for distribution analysis of flavonols and ellagic acid glycosides in strawberry fruit.
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Affiliation(s)
- Hirofumi Enomoto
- Department of Biosciences, Faculty of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan;
- Division of Integrated Science and Engineering, Graduate School of Science and Engineering, Teikyo University, Utsunomiya 320-8551, Japan
- Advanced Instrumental Analysis Center, Teikyo University, Utsunomiya 320-8551, Japan
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7
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Affiliation(s)
- Tomohiro Uchimura
- Department of Materials Science and Engineering, Graduate School of Engineering, University of Fukui, 3-9-1 Bunkyo, Fukui, 910-8507, Japan
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8
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Abstract
There is an increasing appreciation that every cell, even of the same type, is different. This complexity, when additionally combined with the variety of different cell types in tissue, is driving the need for spatially resolved omics at the single-cell scale. Rapid advances are being made in genomics and transcriptomics, but progress in metabolomics lags. This is partly because amplification and tagging strategies are not suited to dynamically created metabolite molecules. Mass spectrometry imaging has excellent potential for metabolic imaging. This review summarizes the recent advances in two of these techniques: matrix-assisted laser desorption ionization (MALDI) and secondary ion mass spectrometry (SIMS) and their convergence in subcellular spatial resolution and molecular information. The barriers that have held back progress such as lack of sensitivity and the breakthroughs that have been made including laser-postionization are highlighted as well as the future challenges and opportunities for metabolic imaging at the single-cell scale.
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Affiliation(s)
- Ian S Gilmore
- National Physical Laboratory, Teddington, Middlesex, TW11 0LW, United Kingdom; k
| | - Sven Heiles
- Institute of Inorganic and Analytical Chemistry , Justus Liebig University Giessen, D-35392 Giessen, Germany
| | - Cornelius L Pieterse
- National Physical Laboratory, Teddington, Middlesex, TW11 0LW, United Kingdom; k
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9
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Gassiep I, Armstrong M, Norton RE. Identification of Burkholderia pseudomallei by Use of the Vitek Mass Spectrometer. J Clin Microbiol 2019; 57:e00081-19. [PMID: 30842230 DOI: 10.1128/JCM.00081-19] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 02/27/2019] [Indexed: 02/07/2023] Open
Abstract
Burkholderia pseudomallei is the causative agent of melioidosis. This condition most often presents as pneumonia and bacteremia, with mortality rates of 9% to 70%. Therefore, early identification of this organism may aid in directing appropriate management. This study aimed to use the Vitek matrix-assisted laser desorption ionization-time of flight mass spectrometer to create a spectrum for the rapid identification of B. pseudomallei Spectra from 85 isolate cultures were acquired using the Vitek mass spectrometer research mode. A SuperSpectrum was created using peak matching and subsequently activated for analysis of organism identification. All 85 isolates were correctly identified as B. pseudomallei A total of 899 spectra were analyzed and demonstrated a specificity of 99.8%. Eighty-one clinical isolates were used, of which 10 were neuromelioidosis, and no discernible spectrum difference was appreciated. Spectrum acquisition from a single spot was only successful in 374/899 (41%) of isolates. This increased to 100% when 3 spots of the same extract were analyzed. The Vitek mass spectrometer can be used for the rapid identification of B. pseudomallei with a high level of specificity.
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10
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Maganti RJ, Hronowski XL, Dunstan RW, Wipke BT, Zhang X, Jandreski L, Hamann S, Juhasz P. Defining Changes in the Spatial Distribution and Composition of Brain Lipids in the Shiverer and Cuprizone Mouse Models of Myelin Disease. J Histochem Cytochem 2018; 67:203-219. [PMID: 30501365 PMCID: PMC6393840 DOI: 10.1369/0022155418815860] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Myelin is composed primarily of lipids and diseases affecting myelin are associated with alterations in its lipid composition. However, correlation of the spatial (in situ) distribution of lipids with the disease-associated compositional and morphological changes is not well defined. Herein we applied high resolution matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS), immunohistochemistry (IHC), and liquid chromatography–electrospray ionization–mass spectrometry (LC-ESI-MS) to evaluate brain lipid alterations in the dysmyelinating shiverer (Shi) mouse and cuprizone (Cz) mouse model of reversible demyelination. MALDI-IMS revealed a decrease in the spatial distribution of sulfatide (SHexCer) species, SHexCer (d42:2), and a phosphatidylcholine (PC) species, PC (36:1), in white matter regions like corpus callosum (CC) both in the Shi mouse and Cz mouse model. Changes in these lipid species were restored albeit not entirely upon spontaneous remyelination after demyelination in the Cz mouse model. Lipid distribution changes correlated with the local morphological changes as confirmed by IHC. LC-ESI-MS analyses of CC extracts confirmed the MALDI-IMS derived reductions in SHexCer and PC species. These findings highlight the role of SHexCer and PC in preserving the normal myelin architecture and our experimental approaches provide a morphological basis to define lipid abnormalities relevant to myelin diseases.
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Affiliation(s)
| | | | - Robert W Dunstan
- Biogen, Cambridge, Massachusetts.,AbbVie, Worcester, Massachusetts
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11
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Cai YH, Wang YS. Impact of uneven sample morphology on mass resolving power in linear MALDI-TOF mass spectrometry: A comprehensive theoretical investigation. J Mass Spectrom 2018; 53:361-368. [PMID: 29388287 DOI: 10.1002/jms.4067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 12/07/2017] [Accepted: 01/19/2018] [Indexed: 06/07/2023]
Abstract
This work discusses the correlation between the mass resolving power of matrix-assisted laser desorption/ionization time-of-flight mass analyzers and extraction condition with an uneven sample morphology. Previous theoretical calculations show that the optimum extraction condition for flat samples involves an ideal ion source design and extraction delay. A general expression of spectral feature takes into account ion initial velocity, and extraction delay is derived in the current study. The new expression extends the comprehensive calculation to uneven sample surfaces and above 90% Maxell-Boltzmann initial velocity distribution of ions to account for imperfect ionization condition. Calculation shows that the impact of uneven sample surface or initial spatial spread of ions is negligible when the extraction delay is away from the ideal value. When the extraction delay approaches the optimum value, the flight-time topology shows a characteristic curve shape, and the time-domain mass spectral feature broadens with an increase in initial spatial spread of ions. For protonated 2,5-dihydroxybenzoic acid, the mass resolving power obtained from a sample of 3-μm surface roughness is approximately 3.3 times lower than that of flat samples. For ions of m/z 3000 coexpanded with 2,5-dihydroxybenzoic acid, the mass resolving power in the 3-μm surface roughness case only reduces roughly 7%. Comprehensive calculations also show that the mass resolving power of lighter ions is more sensitive to the accuracy of the extraction delay than heavier ions.
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Affiliation(s)
- Yi-Hong Cai
- Genomics Research Center, Academia Sinica, 128, Academia Road, Section 2, Nankang District, Taipei, 115, Taiwan
| | - Yi-Sheng Wang
- Genomics Research Center, Academia Sinica, 128, Academia Road, Section 2, Nankang District, Taipei, 115, Taiwan
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12
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Roux A, Muller L, Jackson SN, Baldwin K, Womack V, Pagiazitis JG, O’Rourke JR, Thanos PK, Balaban C, Schultz JA, Volkow ND, Woods AS. Chronic ethanol consumption profoundly alters regional brain ceramide and sphingomyelin content in rodents. ACS Chem Neurosci 2015; 6:247-59. [PMID: 25387107 PMCID: PMC4372063 DOI: 10.1021/cn500174c] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
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Ceramides
(CER) are involved in alcohol-induced neuroinflammation.
In a mouse model of chronic alcohol exposure, 16 CER and 18 sphingomyelin
(SM) concentrations from whole brain lipid extracts were measured
using electrospray mass spectrometry. All 18 CER concentrations in
alcohol exposed adults increased significantly (range: 25–607%);
in juveniles, 6 CER decreased (range: −9 to −37%). In
contrast, only three SM decreased in adult and one increased significantly
in juvenile. Next, regional identification at 50 μm spatial
resolution from coronal sections was obtained with matrix implanted
laser desorption/ionization mass spectrometry imaging (MILDI-MSI)
by implanting silver nanoparticulate matrices followed by focused
laser desorption. Most of the CER and SM quantified in whole brain
extracts were detected in MILDI images. Coronal sections from three
brain levels show qualitative regional changes in CER-SM ion intensities,
as a function of group and brain region, in cortex, striatum, accumbens,
habenula, and hippocampus. Highly correlated changes in certain white
matter CER-SM pairs occur in regions across all groups, including
the hippocampus and the lateral (but not medial) cerebellar cortex
of adult mice. Our data provide the first microscale MS evidence of
regional lipid intensity variations induced by alcohol.
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Affiliation(s)
- Aurelie Roux
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Ludovic Muller
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - Shelley N. Jackson
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Katherine Baldwin
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Virginia Womack
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | - John G. Pagiazitis
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Joseph R. O’Rourke
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Panayotis K. Thanos
- Behavioral Neuropharmacology and Neuroimaging Lab, Department of Psychology, Stony Brook University, Stony Brook, New York 11790, United States
| | - Carey Balaban
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States
| | | | - Nora D. Volkow
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
| | - Amina S. Woods
- Structural Biology Unit, NIDA IRP, NIH, Baltimore, Maryland 21224, United States
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Ellis SR, Brown SH, In Het Panhuis M, Blanksby SJ, Mitchell TW. Surface analysis of lipids by mass spectrometry: more than just imaging. Prog Lipid Res 2013; 52:329-53. [PMID: 23623802 DOI: 10.1016/j.plipres.2013.04.005] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2012] [Revised: 03/19/2013] [Accepted: 04/12/2013] [Indexed: 11/22/2022]
Abstract
Mass spectrometry is now an indispensable tool for lipid analysis and is arguably the driving force in the renaissance of lipid research. In its various forms, mass spectrometry is uniquely capable of resolving the extensive compositional and structural diversity of lipids in biological systems. Furthermore, it provides the ability to accurately quantify molecular-level changes in lipid populations associated with changes in metabolism and environment; bringing lipid science to the "omics" age. The recent explosion of mass spectrometry-based surface analysis techniques is fuelling further expansion of the lipidomics field. This is evidenced by the numerous papers published on the subject of mass spectrometric imaging of lipids in recent years. While imaging mass spectrometry provides new and exciting possibilities, it is but one of the many opportunities direct surface analysis offers the lipid researcher. In this review we describe the current state-of-the-art in the direct surface analysis of lipids with a focus on tissue sections, intact cells and thin-layer chromatography substrates. The suitability of these different approaches towards analysis of the major lipid classes along with their current and potential applications in the field of lipid analysis are evaluated.
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14
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Abstract
The field of proteomics is developing at a rapid pace in the post-genome era. Translational proteomics investigations aim to apply a combination of established methods and new technologies to learn about protein expression profiles predictive of clinical events, therapeutic response, and underlying mechanisms. However, in contrast to genetic studies and in parallel with gene expression studies, the dynamic nature of the proteome in conjunction with the challenges of accounting for post-translational modifications requires the translational proteomics investigator to understand the strengths and limitations of proteomics approaches. In this review, we provide an overview of proteomics approaches and techniques, and proteomics informatics for clinical transplantation investigators. We also review recent publications pertaining to transplantation proteomics, and discuss the implications and utility of urine proteomics for non-invasive investigation of transplant outcomes.
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Key Words
- transplantation
- proteomics
- surface-enhanced laser desorption ionization
- matrix-assisted laser desorption ionization
- mass spectrometry
- biomarkers
- can, chronic allograft nephropathy
- cid, collision-induced dissociation
- elisa, enzyme-linked immunosorbent assay
- esi, electrospray ionization
- ft, fourier transform
- gbm, glomerular basement membrane
- gvhd, graft vs. host disease
- hplc, high performance liquid chromatography
- hsct, hematopoietic stem cell transplantation
- impdh, inosine monophosphate dehydrogenase
- lc, liquid chromatography
- maldi, matrix-assisted laser desorption ionization
- ms, mass spectrometry
- ms/ms, tandem mass spectrometry
- m/z, mass-to-charge ratio
- page, polyacrylamide gel electrophoresis
- sds, sodium dodecyl sulfate
- seldi, surface-enhanced laser desorption ionization
- sct, stem cell transplantation
- tof, time of flight
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Affiliation(s)
- Avram Z. Traum
- Division of Nephrology, Children's Hospital Boston
- Harvard Medical School
| | - Asher D. Schachter
- Division of Nephrology, Children's Hospital Boston
- Harvard Medical School
- Children's Hospital Informatics Program
- Asher Schachter, MD, MMSc, MS, Division of Nephrology and Children's Hospital Informatics Program, 300 Longwood Avenue, Boston, MA, USA Tel.: 617 355 6129 Fax: 617 730 0569 E-mail:
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