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Yu B, Zhan R, Hu Y, Lv Z. Mass Spectrometry Imaging: An Emerging Technology in Medical Parasitology. Anal Chem 2024; 96:8011-8020. [PMID: 38579105 DOI: 10.1021/acs.analchem.3c05341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2024]
Affiliation(s)
- Bingcheng Yu
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
| | - Rongjian Zhan
- Department of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China
| | - Yue Hu
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
| | - Zhiyue Lv
- Key Laboratory of Tropical Disease Control (Sun Yat-sen University), Ministry of Education, Guangzhou, Guangdong 510080, China
- Provincial Engineering Technology Research Center for Biological Vector Control, Guangzhou, Guangdong 511493, China
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University Haikou, Haikou, Hainan 571199, China
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King ME, Lin M, Spradlin M, Eberlin LS. Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:1-25. [PMID: 36944233 DOI: 10.1146/annurev-anchem-061020-015544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Offering superb speed, chemical specificity, and analytical sensitivity, direct mass spectrometry (MS) technologies are highly amenable for the molecular analysis of complex tissues to aid in disease characterization and help identify new diagnostic, prognostic, and predictive markers. By enabling detection of clinically actionable molecular profiles from tissues and cells, direct MS technologies have the potential to guide treatment decisions and transform sample analysis within clinical workflows. In this review, we highlight recent health-related developments and applications of direct MS technologies that exhibit tangible potential to accelerate clinical research and disease diagnosis, including oncological and neurodegenerative diseases and microbial infections. We focus primarily on applications that employ direct MS technologies for tissue analysis, including MS imaging technologies to map spatial distributions of molecules in situ as well as handheld devices for rapid in vivo and ex vivo tissue analysis.
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Affiliation(s)
- Mary E King
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
| | - Monica Lin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Meredith Spradlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Livia S Eberlin
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
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John P, Antony IR, Whenish R, Jinoop AN. A review on fabrication of 3D printed biomaterials using optical methodologies for tissue engineering applications. Proc Inst Mech Eng H 2022; 236:1583-1594. [DOI: 10.1177/09544119221122856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Human body comprises of different internal and external biological components. Human organs tend to fail due to continuous or sudden stress which leads to deterioration, failure, and dislocation. The choice of selection and fabrication of materials for tissue engineering play a key role in terms of suitability, sensitivity, and functioning with other organs as a replacement for failed organs. The progressive improvement of the additive manufacturing (AM) approach in healthcare made it possible to print multi-material and customized complex/intricate geometries in a layer-by-layer fashion. The customized or patient-specific implant fabrication can be easily produced with a high success rate due to the development of AM technologies with tailorable properties. The structural behavior of 3D printed biomaterials is a crucial factor in tissue engineering as they affect the functionality of the implants. Various techniques have been developed in appraising the important features and the effects of the subsequent design of the biomaterial implants. The behavior of the AM built biomaterial implants can be understood visually by an imaging system with a high spatial and spectral resolution. This review intends to present an overview of various biomaterials used in implants, followed by a detailed description of optical 3D printing procedures and evaluation of the performance of 3D printed biomaterials using optical characterization.
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Affiliation(s)
- Pauline John
- Department of Biomedical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, TN, India
| | - Irene Rose Antony
- School of Bio-sciences and Technology, Vellore Institute of Technology, Vellore, TN, India
| | - Ruban Whenish
- Center for Biomaterials, Cellular and molecular Theranostics, Vellore Institute of Technology, Vellore, TN, India
| | - Arackal Narayanan Jinoop
- Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada
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Vandenbosch M, Nauta SP, Svirkova A, Poeze M, Heeren RMA, Siegel TP, Cuypers E, Marchetti-Deschmann M. Sample preparation of bone tissue for MALDI-MSI for forensic and (pre)clinical applications. Anal Bioanal Chem 2021; 413:2683-2694. [PMID: 32930817 PMCID: PMC8007508 DOI: 10.1007/s00216-020-02920-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/23/2020] [Accepted: 08/27/2020] [Indexed: 01/14/2023]
Abstract
In the past decades, matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has been applied to a broad range of biological samples, e.g., forensics and preclinical samples. The use of MALDI-MSI for the analysis of bone tissue has been limited due to the insulating properties of the material but more importantly the absence of a proper sample preparation protocol for undecalcified bone tissue. Undecalcified sections are preferred to retain sample integrity as much as possible or to study the tissue-bone bio interface in particular. Here, we optimized the sample preparation protocol of undecalcified bone samples, aimed at both targeted and untargeted applications for forensic and preclinical applications, respectively. Different concentrations of gelatin and carboxymethyl cellulose (CMC) were tested as embedding materials. The composition of 20% gelatin and 7.5% CMC showed to support the tissue best while sectioning. Bone tissue has to be sectioned with a tungsten carbide knife in a longitudinal fashion, while the sections need to be supported with double-sided tapes to maintain the morphology of the tissue. The developed sectioning method was shown to be applicable on rat and mouse as well as human bone samples. Targeted (methadone and EDDP) as well as untargeted (unknown lipids) detection was demonstrated. DHB proved to be the most suitable matrix for the detection of methadone and EDDP in positive ion mode. The limit of detection (LOD) is estimated to approximately 50 pg/spot on bone tissue. The protocol was successfully applied to detect the presence of methadone and EDDP in a dosed rat femur and a dosed human clavicle. The best matrices for the untargeted detection of unknown lipids in mouse hind legs in positive ion mode were CHCA and DHB based on the number of tissue-specific peaks and signal-to-noise ratios. The developed and optimized sample preparation method, applicable on animal and human bones, opens the door for future forensic and (pre)clinical investigations.
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Affiliation(s)
- Michiel Vandenbosch
- KU Leuven Toxicology and Pharmacology, Campus Gasthuisberg, Onderwijs en Navorsing 2, Herestraat 49, PO Box 922, 3000, Leuven, Belgium
| | - Sylvia P Nauta
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, Netherlands
- Department of Orthopedic Surgery and Trauma Surgery, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands
| | - Anastasiya Svirkova
- Institute of Chemical Technologies and Analytics, Division of Imaging and Instrumental Analytical Chemistry, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060, Vienna, Austria
| | - Martijn Poeze
- Division of Trauma Surgery, Department of Surgery, Maastricht University Medical Center, P. Debyelaan 25, 6229 HX, Maastricht, Netherlands
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER, Maastricht, Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, Netherlands
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, Netherlands
| | - Eva Cuypers
- KU Leuven Toxicology and Pharmacology, Campus Gasthuisberg, Onderwijs en Navorsing 2, Herestraat 49, PO Box 922, 3000, Leuven, Belgium
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, Netherlands
| | - Martina Marchetti-Deschmann
- Institute of Chemical Technologies and Analytics, Division of Imaging and Instrumental Analytical Chemistry, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060, Vienna, Austria.
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Heaney LM. Advancements in mass spectrometry as a tool for clinical analysis: part II. ACTA ACUST UNITED AC 2020; 58:855-857. [DOI: 10.1515/cclm-2020-0259] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Liam M. Heaney
- School of Sport, Exercise and Health Sciences , Loughborough University , Loughborough LE11 3TU , UK
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