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Guedes S, Perpétuo L, Veloso J, Lima T, Ferreira AF, Pires I, Savaiva F, Lourenço A, Moreira-Costa L, Leite-Moreira A, Barros A, Trindade F, Vitorino R. Comprehensive characterization of protein modifications using mass spectrometry and dry blood spots. Proteomics Clin Appl 2024; 18:e2300102. [PMID: 38169112 DOI: 10.1002/prca.202300102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/19/2023] [Accepted: 12/07/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE The main objective of this study is to characterize and analyze modified peptides in DBS samples. This includes deciphering their specific PTMs and understanding their potential impact on the population or disease cohort under study. EXPERIMENTAL DESIGN Using mass spectrometry-based proteomic approaches, we performed a comprehensive analysis of DBS samples. Our focus was on the identification and quantification of modified peptides. We also took advantage of recent advances in DBS mass spectrometry to ensure accurate detection and quantification. RESULTS A comprehensive analysis identified 972 modified peptides in DBS samples. Of these, a subset of 211 peptides was consistently present in all samples, highlighting their potential biological importance and relevance. This indicates a diverse spectrum of PTMs in the proteome of DBS samples. CONCLUSIONS AND CLINICAL RELEVANCE Integration of mass spectrometry and proteomics has revealed a broad spectrum of modified peptides in DBS samples and highlighted their importance in biological processes and disease progression. Accurate detection of these PTMs may be critical for risk stratification and disease management. This study improves the understanding of molecular mechanisms underlying biological processes and disease development, providing important insights for clinical applications.
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Affiliation(s)
- Sofia Guedes
- LAQV/REQUIMTE, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Luís Perpétuo
- iBiMED, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Jacinta Veloso
- iBiMED, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Tânia Lima
- iBiMED, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Ana F Ferreira
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Inês Pires
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Francisca Savaiva
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - André Lourenço
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Liliana Moreira-Costa
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Adelino Leite-Moreira
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Antonio Barros
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Fábio Trindade
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
| | - Rui Vitorino
- LAQV/REQUIMTE, Department of Chemistry, University of Aveiro, Aveiro, Portugal
- iBiMED, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Porto, Portugal
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Birhanu AG. Mass spectrometry-based proteomics as an emerging tool in clinical laboratories. Clin Proteomics 2023; 20:32. [PMID: 37633929 PMCID: PMC10464495 DOI: 10.1186/s12014-023-09424-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023] Open
Abstract
Mass spectrometry (MS)-based proteomics have been increasingly implemented in various disciplines of laboratory medicine to identify and quantify biomolecules in a variety of biological specimens. MS-based proteomics is continuously expanding and widely applied in biomarker discovery for early detection, prognosis and markers for treatment response prediction and monitoring. Furthermore, making these advanced tests more accessible and affordable will have the greatest healthcare benefit.This review article highlights the new paradigms MS-based clinical proteomics has created in microbiology laboratories, cancer research and diagnosis of metabolic disorders. The technique is preferred over conventional methods in disease detection and therapy monitoring for its combined advantages in multiplexing capacity, remarkable analytical specificity and sensitivity and low turnaround time.Despite the achievements in the development and adoption of a number of MS-based clinical proteomics practices, more are expected to undergo transition from bench to bedside in the near future. The review provides insights from early trials and recent progresses (mainly covering literature from the NCBI database) in the application of proteomics in clinical laboratories.
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2017-2018. MASS SPECTROMETRY REVIEWS 2023; 42:227-431. [PMID: 34719822 DOI: 10.1002/mas.21721] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
This review is the tenth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2018. Also included are papers that describe methods appropriate to glycan and glycoprotein analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, new methods, matrices, derivatization, MALDI imaging, fragmentation and the use of arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly-saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Most of the applications are presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. The reported work shows increasing use of combined new techniques such as ion mobility and highlights the impact that MALDI imaging is having across a range of diciplines. MALDI is still an ideal technique for carbohydrate analysis and advancements in the technique and the range of applications continue steady progress.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, UK
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4
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From protein biomarkers to proteomics in dementia with Lewy Bodies. Ageing Res Rev 2023; 83:101771. [PMID: 36328346 DOI: 10.1016/j.arr.2022.101771] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/15/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Dementia with Lewy Bodies (DLB) is the second most common neurodegenerative dementia. Despite considerable research progress, there remain gaps in our understanding of the pathophysiology and there is no disease-modifying treatment. Proteomics is a powerful tool to elucidate complex biological pathways across heterogenous conditions. This review summarizes the widely used proteomic methods and presents evidence for protein dysregulation in the brain and peripheral tissues in DLB. Proteomics of post-mortem brain tissue shows that DLB shares common features with other dementias, such as synaptic dysfunction, but retains a unique protein signature. Promising diagnostic biomarkers are being identified in cerebrospinal fluid (CSF), blood, and peripheral tissues, such as serum Heart-type fatty acid binding protein. Research is needed to track these changes from the prodromal stage to established dementia, with standardized workflows to ensure replicability. Identifying novel protein targets in causative biological pathways could lead to the development of new targeted therapeutics or the stratification of participants for clinical trials.
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Chen W, Ahmed N, Krishna SG. Pancreatic Cystic Lesions: A Focused Review on Cyst Clinicopathological Features and Advanced Diagnostics. Diagnostics (Basel) 2022; 13:65. [PMID: 36611356 PMCID: PMC9818257 DOI: 10.3390/diagnostics13010065] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/13/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
Macroscopic, endomicroscopic, and histologic findings and correlation are an integral part of the diagnostic evaluation of pancreatic cystic lesions (PCLs), as complementing morphologic features seen by different specialties are combined to contribute to a final diagnosis. However, malignancy risk stratification of PCLs with worrisome features can still be challenging even after endoscopic ultrasound guided-fine needle aspiration (EUS-FNA) with cytological evaluation. This review aims to summarize cyst clinicopathological features from the pathologists' perspective, coupled with knowledge from advanced diagnostics-confocal laser endomicroscopy and cyst fluid molecular analysis, to demonstrate the state-of-art risk stratification of PCLs. This review includes illustrative photos of surgical specimens, endomicroscopic and histologic images, and a summary of cyst fluid molecular markers.
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Affiliation(s)
- Wei Chen
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Nehaal Ahmed
- School of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Somashekar G. Krishna
- Division of Gastroenterology, Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
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Hermann J, Schurgers L, Jankowski V. Identification and characterization of post-translational modifications: Clinical implications. Mol Aspects Med 2022; 86:101066. [PMID: 35033366 DOI: 10.1016/j.mam.2022.101066] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/03/2022] [Accepted: 01/10/2022] [Indexed: 10/19/2022]
Abstract
Post-translational modifications (PTMs) generate marginally modified isoforms of native peptides, proteins and lipoproteins thereby regulating protein functions, molecular interactions, and localization. With a key role in functional proteomics, post-translational modifications are recently also associated with the onsets and progressions of various diseases, such as cancer, cardiovascular, renal, and metabolic diseases. With the impact of post-translational modifications becoming increasingly clear, its reliable detection and quantification remain a major obstacle in the translation of these novel pathological markers into clinical diagnosis. While current antibody-based clinical diagnostics struggle to detect and quantify these marginal protein and lipoprotein alterations, state-of-the-art mass spectrometric, proteomic approaches provide the mass accuracy and resolving power necessary to isolate, identify and quantify novel and pathological post-translational modifications; however clinical translation of mass spectrometric applications are still facing major challenges. Here we review the status quo of the clinical translation of mass-spectrometric applications as novel diagnostic tools for the identification and quantification of post-translational modifications and focus on the emerging role of mass spectrometric methods in the clinical assessment of PTMs in disease states.
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Affiliation(s)
- Juliane Hermann
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074, Aachen, Germany
| | - Leon Schurgers
- Department of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6200, MD, Maastricht, the Netherlands
| | - Vera Jankowski
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
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Detection of Fusobacterium nucleatum subspecies in the saliva of pre-colorectal cancer patients, using tandem mass spectrometry. Arch Oral Biol 2021; 134:105337. [PMID: 34929558 DOI: 10.1016/j.archoralbio.2021.105337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 11/25/2021] [Accepted: 12/06/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Rising evidence links Fusobacterium nucleatum (F. nucleatum) with its four subspecies; nucleatum, polymorphum, animalis, and vincentii, with the development of colorectal cancer (CRC) and its precursor colorectal adenoma (CRA). This study aims to optimize a technique for and explore the capability of matrix-assisted laser-desorption ionization-tandem time-of-flight mass spectrometry (MALDI-TOF/TOF MS) to detect F. nucleatum subspecies directly from the saliva samples of CRA patients and controls without preculturing. DESIGN Saliva samples were collected from four CRA patients and eight controls. Proteins were extracted and subjected to solid-phase extraction fractionation, enzymatically digested, and analyzed by MALDI-TOF/TOF MS. F. nucleatum subspecies strains were cultured and used as a positive control. RESULTS A proteomics approach was developed to identify F. nucleatum subspecies directly from saliva samples. With this approach, the bacterial culturing step, which could take up to seven days, was bypassed. Overall, 157 F. nucleatum subspecies proteins were detected in the saliva samples. F. nucleatum subsp. nucleatum was absent in the patients while detected in half of the controls. CONCLUSION This study presents a novel technique for detecting F. nucleatum subspecies from saliva specimens that could later be employed to better understand a potential role of those subspecies in CRC development.
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Ge P, Luo Y, Chen H, Liu J, Guo H, Xu C, Qu J, Zhang G, Chen H. Application of Mass Spectrometry in Pancreatic Cancer Translational Research. Front Oncol 2021; 11:667427. [PMID: 34707986 PMCID: PMC8544753 DOI: 10.3389/fonc.2021.667427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Accepted: 05/31/2021] [Indexed: 12/15/2022] Open
Abstract
Pancreatic cancer (PC) is one of the most common malignant tumors in the digestive tract worldwide, with increased morbidity and mortality. In recent years, with the development of surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy, and the change of the medical thinking model, remarkable progress has been made in researching comprehensive diagnosis and treatment of PC. However, the present situation of diagnostic and treatment of PC is still unsatisfactory. There is an urgent need for academia to fully integrate the basic research and clinical data from PC to form a research model conducive to clinical translation and promote the proper treatment of PC. This paper summarized the translation progress of mass spectrometry (MS) in the pathogenesis, diagnosis, prognosis, and PC treatment to promote the basic research results of PC into clinical diagnosis and treatment.
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Affiliation(s)
- Peng Ge
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yalan Luo
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
| | - Haiyang Chen
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jiayue Liu
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Haoya Guo
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Caiming Xu
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Jialin Qu
- Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China.,Laboratory of Integrative Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Guixin Zhang
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
| | - Hailong Chen
- Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.,Institute (College) of Integrative Medicine, Dalian Medical University, Dalian, China
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9
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Application and Perspectives of MALDI-TOF Mass Spectrometry in Clinical Microbiology Laboratories. Microorganisms 2021; 9:microorganisms9071539. [PMID: 34361974 PMCID: PMC8307939 DOI: 10.3390/microorganisms9071539] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/06/2021] [Accepted: 07/18/2021] [Indexed: 12/11/2022] Open
Abstract
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate appropriate treatment, while avoiding unnecessary antimicrobial use and reducing associated morbidities and healthcare costs. It is a fact that conventional methods usually require more than 24–48 h to culture and profile bacterial species. Mass spectrometry (MS) is an analytical technique that has emerged as a powerful tool in clinical microbiology for identifying peptides and proteins, which makes it a promising tool for microbial identification. Matrix assisted laser desorption ionization–time of flight MS (MALDI–TOF MS) offers a cost- and time-effective alternative to conventional methods, such as bacterial culture and even 16S rRNA gene sequencing, for identifying viruses, bacteria and fungi and detecting virulence factors and mechanisms of resistance. This review provides an overview of the potential applications and perspectives of MS in clinical microbiology laboratories and proposes its use as a first-line method for microbial identification and diagnosis.
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10
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Lonsdale DO, Lipman J. Global personalization of antibiotic therapy in critically ill patients. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021. [DOI: 10.1080/23808993.2021.1874823] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Dagan O Lonsdale
- Department of Clinical Pharmacology, St George’s, University of London, London, UK
- Department of Critical Care, St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Jeffrey Lipman
- Department of Intensive Care, Royal Brisbane and Women’s Hospital, Brisbane, Australia
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, Nîmes, France
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Michel M, Salvador C, Wiedemair V, Adam MG, Laser KT, Dubowy KO, Entenmann A, Karall D, Geiger R, Zlamy M, Scholl-Bürgi S. Method comparison of HPLC-ninhydrin-photometry and UHPLC-PITC-tandem mass spectrometry for serum amino acid analyses in patients with complex congenital heart disease and controls. Metabolomics 2020; 16:128. [PMID: 33319318 PMCID: PMC7736021 DOI: 10.1007/s11306-020-01741-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/28/2020] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Metabolomics studies are not routine when quantifying amino acids (AA) in congenital heart disease (CHD). OBJECTIVES Comparative analysis of 24 AA in serum by traditional high-performance liquid chromatography (HPLC) based on ion exchange and ninhydrin derivatisation followed by photometry (PM) with ultra-high-performance liquid chromatography and phenylisothiocyanate derivatisation followed by tandem mass spectrometry (TMS); interpretation of findings in CHD patients and controls. METHODS PM: Sample analysis as above (total run time, ~ 119 min). TMS: Sample analysis by AbsoluteIDQ® p180 kit assay (BIOCRATES Life Sciences AG, Innsbruck, Austria), which employs PITC derivatisation; separation of analytes on a Waters Acquity UHPLC BEH18 C18 reversed-phase column, using water and acetonitrile with 0.1% formic acid as the mobile phases; and quantification on a Triple-Stage Quadrupole tandem mass spectrometer (Thermo Fisher Scientific, Waltham, MA) with electrospray ionisation in the presence of internal standards (total run time, ~ 8 min). Calculation of coefficients of variation (CV) (for precision), intra- and interday accuracies, limits of detection (LOD), limits of quantification (LOQ), and mean concentrations. RESULTS Both methods yielded acceptable results with regard to precision (CV < 10% PM, < 20% TMS), accuracies (< 10% PM, < 34% TMS), LOD, and LOQ. For both Fontan patients and controls AA concentrations differed significantly between methods, but patterns yielded overall were parallel. CONCLUSION Serum AA concentrations differ with analytical methods but both methods are suitable for AA pattern recognition. TMS is a time-saving alternative to traditional PM under physiological conditions as well as in patients with CHD. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Identifier NCT03886935, date of registration March 27th, 2019 (retrospectively registered).
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Affiliation(s)
- Miriam Michel
- grid.5361.10000 0000 8853 2677Department of Pediatrics III, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Christina Salvador
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Verena Wiedemair
- grid.5771.40000 0001 2151 8122Management Center Innsbruck, Department of Food Technologies, Maximilianstraße 2, 6020 Innsbruck, Austria
| | - Mark Gordian Adam
- grid.431833.e0000 0004 0521 4243BIOCRATES Life Sciences AG, Eduard-Bodem-Gasse 8, 6020 Innsbruck, Austria
| | - Kai Thorsten Laser
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Karl-Otto Dubowy
- grid.5570.70000 0004 0490 981XCenter of Pediatric Cardiology and Congenital Heart Disease, Heart and Diabetes Center North Rhine-Westphalia, Ruhr-University of Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany
| | - Andreas Entenmann
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Daniela Karall
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Ralf Geiger
- grid.5361.10000 0000 8853 2677Department of Pediatrics III, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Manuela Zlamy
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
| | - Sabine Scholl-Bürgi
- grid.5361.10000 0000 8853 2677Department of Pediatrics I, Division of Pediatric Cardiology, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria
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Stevens KG, Pukala TL. Conjugating immunoassays to mass spectrometry: Solutions to contemporary challenges in clinical diagnostics. Trends Analyt Chem 2020; 132:116064. [PMID: 33046944 PMCID: PMC7539833 DOI: 10.1016/j.trac.2020.116064] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Developments in immunoassays and mass spectrometry have independently influenced diagnostic technology. However, both techniques possess unique strengths and limitations, which define their ability to meet evolving requirements for faster, more affordable and more accurate clinical tests. In response, hybrid techniques, which combine the accessibility and ease-of-use of immunoassays with the sensitivity, high throughput and multiplexing capabilities of mass spectrometry are continually being explored. Developments in antibody conjugation methodology have expanded the role of these biomolecules to applications outside of conventional colorimetric assays and histology. Furthermore, the range of different mass spectrometry ionisation and analysis technologies has enabled its successful adaptation as a detection method for numerous clinically relevant immunological assays. Several recent examples of combined mass spectrometry-immunoassay techniques demonstrate the potential of these methods as improved diagnostic tests for several important human diseases. The present challenges are to continue technological advancements in mass spectrometry instrumentation and develop improved bioconjugation methods, which can overcome their existing limitations and demonstrate the clinical significance of these hybrid approaches.
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Walker HJ, Burrell MM. Could breath analysis by MS could be a solution to rapid, non-invasive testing for COVID-19? Bioanalysis 2020; 12:1213-1217. [PMID: 32734782 PMCID: PMC7466950 DOI: 10.4155/bio-2020-0125] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/11/2020] [Indexed: 01/13/2023] Open
Affiliation(s)
- Heather J Walker
- biOMICS Facility, Department of Animal & Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Michael M Burrell
- biOMICS Facility, Department of Animal & Plant Sciences, University of Sheffield, Sheffield S10 2TN, UK
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Alexovič M, Urban PL, Tabani H, Sabo J. Recent advances in robotic protein sample preparation for clinical analysis and other biomedical applications. Clin Chim Acta 2020; 507:104-116. [PMID: 32305536 DOI: 10.1016/j.cca.2020.04.015] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/11/2020] [Accepted: 04/13/2020] [Indexed: 02/06/2023]
Abstract
Discovery of new protein biomarker candidates has become a major research goal in the areas of clinical chemistry, analytical chemistry, and biomedicine. These important species constitute the molecular target when it comes to diagnosis, prognosis, and further monitoring of disease. However, their analysis requires powerful, selective and high-throughput sample preparation and product (analyte) characterisation approaches. In general, manual sample processing is tedious, complex and time-consuming, especially when large numbers of samples have to be processed (e.g., in clinical studies). Automation via microtiter-plate platforms involving robotics has brought improvements in high-throughput performance while comparable or even better precisions and repeatability (intra-day, inter-day) were achieved. At the same time, waste production and exposure of laboratory personnel to hazards were reduced. In comprehensive protein analysis workflows (e.g., liquid chromatography-tandem mass spectrometry analysis), sample preparation is an unavoidable step. This review surveys the recent achievements in automation of bottom-up and top-down protein and/or proteomics approaches. Emphasis is put on high-end multi-well plate robotic platforms developed for clinical analysis and other biomedical applications. The literature from 2013 to date has been covered.
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Affiliation(s)
- Michal Alexovič
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, 04011 Košice, Slovakia.
| | - Pawel L Urban
- Department of Chemistry, National Tsing Hua University, 101, Sec 2, Kuang-Fu Rd., Hsinchu 30013, Taiwan
| | - Hadi Tabani
- Department of Environmental Geology, Research Institute of Applied Sciences (ACECR), Shahid Beheshti University, Tehran, Iran
| | - Ján Sabo
- Department of Medical and Clinical Biophysics, Faculty of Medicine, University of P.J. Šafárik in Košice, 04011 Košice, Slovakia
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Wu YJ, Huang CH, Hsieh TJ, Tseng WL, Lu CY. Identification of significant protein markers by mass spectrometry after co-treatment of cells with different drugs: An in vitro survey platform. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34 Suppl 1:e8582. [PMID: 31498944 DOI: 10.1002/rcm.8582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 08/16/2019] [Accepted: 09/03/2019] [Indexed: 06/10/2023]
Abstract
RATIONALE Understanding drug-drug interactions and predicting the side effects induced by polypharmacy are difficult because there are few suitable platforms that can predict drug-drug interactions and possible side effects. Hence, developing a platform to identify significant protein markers of drug-drug interactions and their associated side effects is necessary to avoid adverse effects. METHODS Human liver cells were treated with ethosuximide in combination with cimetidine, ketotifen, metformin, metronidazole, or phenytoin. After sample preparation and extraction, mitochondrial proteins from liver cells were isolated and digested with trypsin. Then, peptide solutions were detected using a nano ultra-performance liquid chromatographic system combined with tandem mass spectrometry. The Ingenuity Pathway Analysis tool was used to simulate drug-drug interactions and identify protein markers associated with drug-induced adverse effects. RESULTS Several protein markers were identified by the proposed method after liver cells were co-treated with ethosuximide and other drugs. Several of these protein markers have previously been reported in the literature, indicating that the proposed platform is workable. CONCLUSIONS Using the proposed in vitro platform, significant protein markers of drug-drug interactions could be identified by mass spectrometry. This workflow can then help predict indicators of drug-drug interactions and associated adverse effects for increased safety in clinical prescriptions.
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Affiliation(s)
- Ying-Jung Wu
- Department of Biochemistry, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
| | - Ching-Hui Huang
- Division of Cardiology, Department of Internal Medicine, Changhua Christian Hospital, Changhua, 50006, Taiwan
| | - Tusty-Jiuan Hsieh
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
| | - Wei-Lung Tseng
- Department of Chemistry, College of Science, National Sun Yat-sen University, Kaohsiung, 80424, Taiwan
| | - Chi-Yu Lu
- Department of Biochemistry, College of Medicine, Kaohsiung Medical University, Kaohsiung, 80708, Taiwan
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, 80424, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, 80708, Taiwan
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Johnson-Jahangir H, Agrawal N. Perioperative Antibiotic Use in Cutaneous Surgery. Dermatol Clin 2019; 37:329-340. [DOI: 10.1016/j.det.2019.03.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Nagorny SA, Aleshukina AV, Aleshukina IS, Ermakova LA, Pshenichnaya NY. The application of proteomic methods (MALDI-toff MS) for studying protein profiles of some nematodes (dirofilaria and ascaris) for differentiating species. Int J Infect Dis 2019; 82:61-65. [PMID: 30849497 DOI: 10.1016/j.ijid.2019.02.047] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 02/26/2019] [Accepted: 02/27/2019] [Indexed: 02/02/2023] Open
Abstract
INTRODUCTION Matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-toff MS) is a reliable method for diagnosing a number of bacterial and fungal infections. It is also effective as a method of rapid diagnosis of several parasitic agents. We used MALDI-toff MS to study the protein profiles of four nematodes: Dirofilaria repens, Dirofilaria. immitis, Ascaris suum and Ascaris lumbricoides. METHODS We studied the protein profiles of dirofilaria (five of each species: D. repens and D. immitis) and ascaris (five of each species: A. suum and A. lumbricoides), using a proteomic analysis based on MALDI-toff MS. RESULTS Analysis of protein extracts of dirofilaria and ascaris showed spectra with high-intensity peaks in the range of 2-20 kDa. The quality of the spectra (clear graphical reflection of mass/charge to luminous intensity, consistent in repeated analyzes) and the intensity of the spectral peaks were consistent in all samples of the same species. The spectra profiles of D. repens and D. immitis differed in eight major peaks which makes it possible to differentiate species according to the protein profile. The spectra profiles obtained from A. suum and A. lumbricoides proteins differed slightly in 3 major peaks in both species and were discovered in m/z 13000; 13400 and 14400. The protein peaks in diapason 3000 kD-7300 kD specific for all genus ascaris are constant. CONCLUSIONS MALDI-toff MS-based proteomic analysis can serve as an effective taxonomic tool for parasitological studies.
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Affiliation(s)
| | | | | | - Larisa Alexandrovna Ermakova
- Rostov Scientific Research Institute of Microbiology and Parasitology, Rostov-on-Don, Russia; Rostov State Medical University
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