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Guo S, Li K, Chen Y, Li B. Unraveling the drug distribution in brain enabled by MALDI MS imaging with laser-assisted chemical transfer. Acta Pharm Sin B 2022; 12:2120-2126. [PMID: 35847487 PMCID: PMC9279630 DOI: 10.1016/j.apsb.2021.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/24/2021] [Accepted: 11/03/2021] [Indexed: 12/15/2022] Open
Abstract
Accurate localization of central nervous system (CNS) drug distribution in the brain is quite challenging to matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), owing to the ionization competition/suppression of highly abundant endogenous biomolecules and MALDI matrix. Herein, we developed a highly efficient sample preparation technique, laser-assisted chemical transfer (LACT), to enhance the detection sensitivity of CNS drugs in brain tissues. A focused diode laser source transilluminated the tissue slide coated with α-cyano-4-hydroxycinnamic acid, an optimal matrix to highly absorb the laser radiation at 405 nm, and a very thin-layer chemical film mainly containing drug molecule was transferred to the acceptor glass slide. Subsequently, MALDI MSI was performed on the chemical film without additional sample treatment. One major advantage of LACT is to minimize ionization competition/suppression from the tissue itself by removing abundant endogenous lipid and protein components. The superior performance of LACT led to the successful visualization of regional distribution patterns of 16 CNS drugs in the mouse brain. Furthermore, the dynamic spatial changes of risperidone and its metabolite were visualized over a 24-h period. Also, the brain-to-plasma (B/P) ratio could be obtained according to MALDI MSI results, providing an alternative means to assess brain penetration in drug discovery.
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Wang X, Yan L, Yu Z, Chen Q, Xiao M, Liu X, Li L, Pei H. Aptamer‐Functionalized Fractal Nanoplasmonics‐Assisted Laser Desorption/Ionization Mass Spectrometry for Metabolite Detection. Chempluschem 2022; 87:e202100479. [DOI: 10.1002/cplu.202100479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/23/2021] [Indexed: 12/11/2022]
Affiliation(s)
- Xiwei Wang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Lu Yan
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Zijing Yu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Qiaoji Chen
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Xiaohui Liu
- Institutes of Biomedical Sciences Fudan University Shanghai 200032 P. R. China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes School of Chemistry and Molecular Engineering East China Normal University 500 Dongchuan Road Shanghai 200241 P. R. China
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Pei C, Wan J. Nanocomposite-Based Matrices in Laser Desorption/Ionization Mass Spectrometry for Small-Molecule Analysis. Chempluschem 2021; 85:2419-2427. [PMID: 33155769 DOI: 10.1002/cplu.202000619] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/19/2020] [Indexed: 12/17/2022]
Abstract
The efficient detection of small molecules is of significance for environmental monitoring, pharmacology, metabolomics, and lipidomics. The laser desorption/ionization mass spectrometry (LDI MS) platform enables high sensitivity, accuracy, resolution, and throughput in molecular analysis, but its analytical capability with respect to small molecules is limited due to inherent drawbacks arising from conventional organic matrices. The selection of an appropriate matrix is thus a precondition for small molecule detection by LDI MS. To date, various inorganic matrices have been developed, with a growing interest in composite materials displaying synergetic effects. This Minireview highlights the development of nanocomposites as LDI matrices driven by numerous innovations in material science, and their emerging use in small-molecule analysis.
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Affiliation(s)
- Congcong Pei
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China
| | - Jingjing Wan
- School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China
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Samarah LZ, Tran TH, Stacey G, Vertes A. Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202015251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Laith Z. Samarah
- Department of Chemistry George Washington University Washington DC 20052 USA
| | - Tina H. Tran
- Department of Chemistry George Washington University Washington DC 20052 USA
| | - Gary Stacey
- Divisions of Plant Sciences and Biochemistry C. S. Bond Life Sciences Center University of Missouri Columbia MO 65211 USA
| | - Akos Vertes
- Department of Chemistry George Washington University Washington DC 20052 USA
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Samarah LZ, Tran TH, Stacey G, Vertes A. Mass Spectrometry Imaging of Bio-oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays. Angew Chem Int Ed Engl 2021; 60:9071-9077. [PMID: 33529427 DOI: 10.1002/anie.202015251] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/30/2020] [Indexed: 12/17/2023]
Abstract
Mass spectrometry imaging (MSI) enables simultaneous spatial mapping for diverse molecules in biological tissues. Matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) has been a mainstream MSI method for a wide range of biomolecules. However, MALDI-MSI of biological homopolymers used for energy storage and molecular feedstock is limited by, e.g., preferential ionization for certain molecular classes. Matrix-free nanophotonic ionization from silicon nanopost arrays (NAPAs) is an emerging laser desorption ionization (LDI) platform with ultra-trace sensitivity and molecular imaging capabilities. Here, we show complementary analysis and MSI of polyhydroxybutyric acid (PHB), polyglutamic acid (PGA), and polysaccharide oligomers in soybean root nodule sections by NAPA-LDI and MALDI. For PHB, number and weight average molar mass, polydispersity, and oligomer size distributions across the tissue section and in regions of interest were characterized by NAPA-LDI-MSI.
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Affiliation(s)
- Laith Z Samarah
- Department of Chemistry, George Washington University, Washington, DC, 20052, USA
| | - Tina H Tran
- Department of Chemistry, George Washington University, Washington, DC, 20052, USA
| | - Gary Stacey
- Divisions of Plant Sciences and Biochemistry, C. S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Akos Vertes
- Department of Chemistry, George Washington University, Washington, DC, 20052, USA
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Sarycheva A, Grigoryev A, Sidorchuk D, Vladimirov G, Khaitovich P, Efimova O, Gavrilenko O, Stekolshchikova E, Nikolaev EN, Kostyukevich Y. Structure-Preserving and Perceptually Consistent Approach for Visualization of Mass Spectrometry Imaging Datasets. Anal Chem 2021; 93:1677-1685. [PMID: 33373190 DOI: 10.1021/acs.analchem.0c04256] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Mass spectrometry imaging (MSI) has become an important tool for 2D profiling of biological tissues, allowing for the visualization of individual compound distributions in the sample. Based on this information, it is possible to investigate the molecular organization within any particular tissue and detect abnormal regions (such as tumor regions) and many other biologically relevant phenomena. However, the large number of compounds present in the spectra hinders the productive analysis of large MSI datasets when utilizing standard tools. The heterogeneity of samples makes exploratory visualization (a presentation of the general idea of the molecular and structural organization of the inspected tissues) challenging. Here, we explore the application of various dimensionality reduction techniques that have been used extensively in the visualization of hyperspectral images and the MSI data specifically, such as principal component analysis, independent component analysis, non-negative matrix factorization, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection. Further, we propose a new approach based on a combination of structure preserving visualization with nonlinear manifold embedding of normalized spectral data. This way, we aim to preserve as much spatially overlapping signals as possible while augmenting them with information on compositional (spectral) variation. The proposed approach can be used for exploratory visualization of MSI datasets without prior deep chemical or histological knowledge of the sample. Thus, different datasets can be visually compared employing the proposed method. The proposed approach allowed for the clear visualization of the molecular layer, granular layer, and white matter in chimpanzee and macaque cerebellum slices.
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Affiliation(s)
- Anastasia Sarycheva
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Anton Grigoryev
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation.,Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoy Karetny per. 19, Build. 1, Moscow 127051, Russian Federation
| | - Dmitry Sidorchuk
- Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Bolshoy Karetny per. 19, Build. 1, Moscow 127051, Russian Federation
| | - Gleb Vladimirov
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Philipp Khaitovich
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Olga Efimova
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Olga Gavrilenko
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Elena Stekolshchikova
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Evgeny N Nikolaev
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
| | - Yury Kostyukevich
- Skolkovo Institute of Science and Technology, Bolshoy Boulevard 30, Bld. 1, Moscow 121205, Russian Federation
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Ali A, Abouleila Y, Shimizu Y, Hiyama E, Emara S, Mashaghi A, Hankemeier T. Single-cell metabolomics by mass spectrometry: Advances, challenges, and future applications. Trends Analyt Chem 2019. [DOI: 10.1016/j.trac.2019.02.033] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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He J, Sun C, Li T, Luo Z, Huang L, Song X, Li X, Abliz Z. A Sensitive and Wide Coverage Ambient Mass Spectrometry Imaging Method for Functional Metabolites Based Molecular Histology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2018; 5:1800250. [PMID: 30479912 PMCID: PMC6247026 DOI: 10.1002/advs.201800250] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 07/19/2018] [Indexed: 05/21/2023]
Abstract
Histological examination with a deep link between functional metabolites and tissue structure and biofunctions will provide important in situ biochemical information, and then essentially reveal what has happened in tissue at the molecular level. However, due to the complexity and heterogeneity of tissue samples and the large number of metabolites, it is still a challenge to globally map the diverse metabolites, especially for those low-abundance functional ones. Here, a sensitive air flow-assisted desorption electrospray ionization mass spectrometry imaging method for the mapping of a broad range of metabolites is presented. It exhibits properties characteristic of wide coverage, high sensitivity, wide dynamic range, rapid analysis procedure, and high specificity for tissue metabolites imaging. More than 1500 metabolites, including cholines, polyamines, amino acids, carnitines, nucleosides, nucleotides, nitrogen bases, organic acids, carbohydrates, cholesterol sulfate, cholic acid, lipids, etc., can be visualized in an untargeted analysis. The distribution of metabolites shows good spatial match with tissue histological structure and biofunctions in heterogeneous rat kidney, rat brain, and human esophageal cancer tissue. This method possesses the ability to globally showcase the molecular processes in tissue, and provide an insightful way for structural and functional molecular recognition in histological examination, even for intraoperative decision-making.
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Affiliation(s)
- Jiuming He
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Chenglong Sun
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Tiegang Li
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Zhigang Luo
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Luojiao Huang
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Xiaowei Song
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Xin Li
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
| | - Zeper Abliz
- State Key Laboratory of Bioactive Substance and Function of Natural MedicinesInstitute of Materia MedicaChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing100050P. R. China
- Center for Imaging and Systems BiologyMinzu University of ChinaBeijing100081P. R. China
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Li M, Mao S, Wang S, Li HF, Lin JM. Chip-based SALDI-MS for rapid determination of intracellular ratios of glutathione to glutathione disulfide. Sci China Chem 2018. [DOI: 10.1007/s11426-018-9327-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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10
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Zhang L, Vertes A. Einzelzell‐Massenspektrometrie zur Untersuchung zellulärer Heterogenität. Angew Chem Int Ed Engl 2018. [DOI: 10.1002/ange.201709719] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Linwen Zhang
- Department of Chemistry The George Washington University Washington DC 20052 USA
| | - Akos Vertes
- Department of Chemistry The George Washington University Washington DC 20052 USA
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Zhang L, Vertes A. Single‐Cell Mass Spectrometry Approaches to Explore Cellular Heterogeneity. Angew Chem Int Ed Engl 2018; 57:4466-4477. [DOI: 10.1002/anie.201709719] [Citation(s) in RCA: 172] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 11/27/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Linwen Zhang
- Department of Chemistry The George Washington University Washington DC 20052 USA
| | - Akos Vertes
- Department of Chemistry The George Washington University Washington DC 20052 USA
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12
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Affiliation(s)
- Lucas Armbrecht
- Department of Biosystems Science and Engineering, ETH Zurich, CH-8093 Zurich, Switzerland
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