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Lazari LC, Ghilardi FDR, Rosa-Fernandes L, Assis DM, Nicolau JC, Santiago VF, Dalçóquio TF, Angeli CB, Bertolin AJ, Marinho CR, Wrenger C, Durigon EL, Siciliano RF, Palmisano G. Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19. Life Sci Alliance 2021; 4:e202000946. [PMID: 34168074 PMCID: PMC8321665 DOI: 10.26508/lsa.202000946] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 05/31/2021] [Accepted: 05/31/2021] [Indexed: 12/17/2022] Open
Abstract
SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome fingerprinting that predict high (hospitalized) and low-risk (outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry analysis. Sample preparation, MS, and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. We identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. A combination of SDS-PAGE and quantitative bottom-up proteomic analysis allowed the identification of intact and truncated forms of serum amyloid A-1 and A-2 proteins, both already described as biomarkers for viral infections in the acute phase. Unbiased discrimination of high- and low-risk COVID-19 patients using a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.
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Affiliation(s)
- Lucas Cardoso Lazari
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Livia Rosa-Fernandes
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - José Carlos Nicolau
- Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil
| | - Veronica Feijoli Santiago
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Claudia B Angeli
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Claudio Rf Marinho
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Carsten Wrenger
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | - Edison Luiz Durigon
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
| | | | - Giuseppe Palmisano
- Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil
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Neema KN, Hamse Kameshwar V, Nafeesa Z, Kumar D, Babu Shubha P, Nagendra Prasad MN, Swamy SN. Serine protease from Indian Cobra venom: its anticoagulant property and effect on human fibrinogen. TOXIN REV 2020. [DOI: 10.1080/15569543.2020.1855656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- K. N. Neema
- Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
- JSS Research Foundation, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
| | - Vivek Hamse Kameshwar
- Department of Biotechnology, School of Natural Sciences, Adichunchanagiri University-Centre for Research and Innovation, Adichunchanagiri University, Nagamangala, Karnataka, India
| | - Zohara Nafeesa
- Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
- JSS Research Foundation, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
| | - Divya Kumar
- Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
- JSS Research Foundation, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
| | - Priya Babu Shubha
- Department of Studies in Chemistry, University of Mysore, Manasagangothri, Mysuru, Karnataka, India
| | - M. N. Nagendra Prasad
- Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
| | - Shivananju Nanjunda Swamy
- Department of Biotechnology, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, JSS Institutions Campus, Mysuru, Karnataka, India
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MALDI Profiling and Applications in Medicine. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:27-43. [DOI: 10.1007/978-3-030-15950-4_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Greco V, Piras C, Pieroni L, Ronci M, Putignani L, Roncada P, Urbani A. Applications of MALDI-TOF mass spectrometry in clinical proteomics. Expert Rev Proteomics 2018; 15:683-696. [PMID: 30058389 DOI: 10.1080/14789450.2018.1505510] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
INTRODUCTION The development of precision medicine requires advanced technologies to address the multifactorial disease stratification and to support personalized treatments. Among omics techniques, proteomics based on Mass Spectrometry (MS) is becoming increasingly relevant in clinical practice allowing a phenotypic characterization of the dynamic functional status of the organism. From this perspective, Matrix Assisted Laser Desorption Ionization Time of Flight (MALDI-TOF) MS is a suitable platform for providing a high-throughput support to clinics. Areas covered: This review aims to provide an updated overview of MALDI-TOF MS applications in clinical proteomics. The most relevant features of this analysis have been discussed, highlighting both pre-analytical and analytical factors that are crucial in proteomics studies. Particular emphasis is placed on biofluids proteomics for biomarkers discovery and on recent progresses in clinical microbiology, drug monitoring, and minimal residual disease (MRD). Expert commentary: Despite some analytical limitations, the latest technological advances together with the easiness of use, the low time and low cost consuming and the high throughput are making MALDI-TOF MS instruments very attractive for the clinical practice. These features offer a significant potential for the routine of the clinical laboratory and ultimately for personalized medicine.
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Affiliation(s)
- Viviana Greco
- a Institute of Biochemistry and Clinical Biochemistry , Università Cattolica del Sacro Cuore , Rome , Italy.,b Department of Laboratory Diagnostic and Infectious Diseases , Fondazione Policlinico Universitario Agostino Gemelli-IRCCS , Rome , Italy
| | - Cristian Piras
- c Dipartimento di Medicina Veterinaria , Università degli studi di Milano , Milano , Italy
| | - Luisa Pieroni
- d Proteomics and Metabonomics Unit , IRCCS-Fondazione Santa Lucia , Rome , Italy
| | - Maurizio Ronci
- d Proteomics and Metabonomics Unit , IRCCS-Fondazione Santa Lucia , Rome , Italy.,e Department of Medical, Oral and Biotechnological Sciences , University "G. D'Annunzio" of Chieti-Pescara , Chieti , Italy
| | - Lorenza Putignani
- f Unit of Parasitology Bambino Gesù Children's Hospital , IRCCS , Rome , Italy.,g Unit of Human Microbiome , Bambino Gesù Children's Hospital, IRCCS , Rome , Italy
| | - Paola Roncada
- h Dipartimento di Scienze della Salute , Università degli studi "Magna Græcia" di Catanzaro , Catanzaro , Italy
| | - Andrea Urbani
- a Institute of Biochemistry and Clinical Biochemistry , Università Cattolica del Sacro Cuore , Rome , Italy.,b Department of Laboratory Diagnostic and Infectious Diseases , Fondazione Policlinico Universitario Agostino Gemelli-IRCCS , Rome , Italy
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Greening DW, Kapp EA, Simpson RJ. The Peptidome Comes of Age: Mass Spectrometry-Based Characterization of the Circulating Cancer Peptidome. Enzymes 2017; 42:27-64. [PMID: 29054270 DOI: 10.1016/bs.enz.2017.08.003] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Peptides play a seminal role in most physiological processes acting as neurotransmitters, hormones, antibiotics, and immune regulation. In the context of tumor biology, it is hypothesized that endogenous peptides, hormones, cytokines, growth factors, and aberrant degradation of select protein networks (e.g., enzymatic activities, protein shedding, and extracellular matrix remodeling) are fundamental in mediating cancer progression. Analysis of peptides in biological fluids by mass spectrometry holds promise of providing sensitive and specific diagnostic and prognostic information for cancer and other diseases. The identification of circulating peptides in the context of disease constitutes a hitherto source of new clinical biomarkers. The field of peptidomics can be defined as the identification and comprehensive analysis of physiological and pathological peptides. Like proteomics, peptidomics has been advanced by the development of new separation strategies, analytical detection methods such as mass spectrometry, and bioinformatic technologies. Unlike proteomics, peptidomics is targeted toward identifying endogenous protein and peptide fragments, defining proteolytic enzyme substrate specificity, as well as protease cleavage recognition (degradome). Peptidomics employs "top-down proteomics" strategies where mass spectrometry is applied at the proteoform level to analyze intact proteins and large endogenous peptide fragments. With recent advances in prefractionation workflows for separating peptides, mass spectrometry instrumentation, and informatics, peptidomics is an important field that promises to impact on translational medicine. This review covers the current advances in peptidomics, including top-down and imaging mass spectrometry, comprehensive quantitative peptidome analyses (developments in reproducibility and coverage), peptide prefractionation and enrichment workflows, peptidomic data analyses, and informatic tools. The application of peptidomics in cancer biomarker discovery will be discussed.
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Affiliation(s)
- David W Greening
- La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia.
| | - Eugene A Kapp
- Systems Biology & Personalised Medicine Division, Walter & Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia; Florey Institute of Neuroscience, Parkville, Victoria, Australia; University of Melbourne, Parkville, Victoria, Australia
| | - Richard J Simpson
- La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia.
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Panderi I, Yakirevich E, Papagerakis S, Noble L, Lombardo K, Pantazatos D. Differentiating tumor heterogeneity in formalin-fixed paraffin-embedded (FFPE) prostate adenocarcinoma tissues using principal component analysis of matrix-assisted laser desorption/ionization imaging mass spectral data. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2017; 31:160-170. [PMID: 27791282 DOI: 10.1002/rcm.7776] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Revised: 09/25/2016] [Accepted: 10/24/2016] [Indexed: 06/06/2023]
Abstract
RATIONALE Many patients with adenocarcinoma of the prostate present with advanced and metastatic cancer at the time of diagnosis. There is an urgent need to detect biomarkers that will improve the diagnosis and prognosis of this disease. Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) is playing a key role in cancer research and it can be useful to unravel the molecular profile of prostate cancer biopsies. METHODS MALDI imaging data sets are highly complex and their interpretation requires the use of multivariate statistical methods. In this study, MALDI-IMS technology, sequential principal component analysis (PCA) and two-dimensional (2-D) peak distribution tests were employed to investigate tumor heterogeneity in formalin-fixed paraffin-embedded (FFPE) prostate cancer biopsies. RESULTS Multivariate statistics revealed a number of mass ion peaks obtained from different tumor regions that were distinguishable from the adjacent normal regions within a given specimen. These ion peaks have been used to generate ion images and visualize the difference between tumor and normal regions. Mass peaks at m/z 3370, 3441, 3447 and 3707 exhibited stronger ion signals in the tumor regions. CONCLUSIONS This study reports statistically significant mass ion peaks unique to tumor regions in adenocarcinoma of the prostate and adds to the clinical utility of MALDI-IMS for analysis of FFPE tissue at a molecular level that supersedes all other standard histopathologic techniques for diagnostic purposes used in the current clinical practice. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Irene Panderi
- Brown University, Warren Alpert Medical School, COBRE Center for Cancer Research, Rhode Island Hospital, Providence, RI, USA
- National and Kapodistrian University of Athens, Department of Pharmacy, Division of Pharmaceutical Chemistry, Laboratory of Pharmaceutical Analysis, Athens, Greece
| | - Evgeny Yakirevich
- Brown University, Warren Alpert Medical School, Department of Pathology, Rhode Island Hospital, Providence, RI, USA
| | - Silvana Papagerakis
- University of Michigan Comprehensive Cancer Center, School of Medicine, Department of Periodontics and Oral Medicine, Division of Oral Pathology/Medicine/Radiology, Ann Arbor, MI, USA
| | - Lelia Noble
- Brown University, Warren Alpert Medical School, COBRE Center for Cancer Research, Rhode Island Hospital, Providence, RI, USA
| | - Kara Lombardo
- Brown University, Warren Alpert Medical School, Department of Pathology, Rhode Island Hospital, Providence, RI, USA
| | - Dionysios Pantazatos
- Brown University, Warren Alpert Medical School, COBRE Center for Cancer Research, Rhode Island Hospital, Providence, RI, USA
- Weill Cornell Medical College, Division of Infectious Diseases, Transplantation-Oncology Infectious Disease Program, New York, NY, USA
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Mahboob S, Mohamedali A, Ahn SB, Schulz-Knappe P, Nice E, Baker MS. Is isolation of comprehensive human plasma peptidomes an achievable quest? J Proteomics 2015; 127:300-9. [PMID: 25979773 DOI: 10.1016/j.jprot.2015.05.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Revised: 05/06/2015] [Accepted: 05/09/2015] [Indexed: 01/12/2023]
Abstract
The low molecular weight (LMW; <10kDa)* plasma peptidome has been considered a source of useful diagnostic biomarkers and potentially therapeutic molecules, as it contains many cytokines, peptide hormones, endogenous peptide products and potentially bioactive fragments derived from the parent proteome. The small size of the peptides allows them almost unrestricted vascular and interstitial access, and hence distribution across blood-brain barriers, tumour and other vascular permeability barriers. Therefore, the peptidome may carry specific signatures or fingerprints of an individual's health, wellbeing or disease status. This occurs primarily because of the advantage the peptidome has in being readily accessible in human blood and/or other biofluids. However, the co-expression of highly abundant proteins (>10kDa) and other factors present inherently in human plasma make direct analysis of the blood peptidome one of the most challenging tasks faced in contemporary analytical biochemistry. A comprehensive compendium of extraction and fractionation tools has been collected concerning the isolation and micromanipulation of peptides. However, the search for a reliable, accurate and reproducible single or combinatorial separation process for capturing and analysing the plasma peptidome remains a challenge. This review outlines current techniques used for the separation and detection of plasma peptides and suggests potential avenues for future investigation. This article is part of a Special Issue entitled: HUPO 2014.
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Affiliation(s)
- S Mahboob
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, NSW 2109, Australia
| | - A Mohamedali
- Department of Chemistry and Biomolecular Sciences, Faculty of Science, Macquarie University, NSW 2109, Australia
| | - S B Ahn
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, NSW 2109, Australia
| | | | - E Nice
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - M S Baker
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, NSW 2109, Australia.
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Dudley E. MALDI Profiling and Applications in Medicine. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 806:33-58. [DOI: 10.1007/978-3-319-06068-2_2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Tracy MB, Cooke WE, Gatlin CL, Cazares LH, Weaver DM, Semmes OJ, Tracy ER, Manos DM, Malyarenko DI. Improved signal processing and normalization for biomarker protein detection in broad-mass-range TOF mass spectra from clinical samples. Proteomics Clin Appl 2011; 5:440-7. [PMID: 21751409 DOI: 10.1002/prca.201000095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2010] [Revised: 05/01/2011] [Accepted: 05/30/2011] [Indexed: 11/11/2022]
Abstract
PURPOSE To demonstrate robust detection of biomarkers in broad-mass-range TOF-MS data. EXPERIMENTAL DESIGN Spectra were obtained for two serum protein profiling studies: (i) 2-200 kDa for 132 patients, 67 healthy and 65 diagnosed as having adult T-cell leukemia and (ii) 2-100 kDa for 140 patients, 70 pairs, each with matched prostate-specific antigen (PSA) levels and biopsy-confirmed diagnoses of one benign and one prostate cancer. Signal processing was performed on raw spectra and peak data were normalized using four methods. Feature selection was performed using Bayesian Network Analysis and a classifier was tested on withheld data. Identification of candidate biomarkers was pursued. RESULTS Integrated peak intensities were resolved over full spectra. Normalization using local noise values was superior to global methods in reducing peak correlations, reducing replicate variability and improving feature selection stability. For the leukemia data set, potential disease biomarkers were detected and were found to be predictive for withheld data. Preliminary assignments of protein IDs were consistent with published results and LC-MS/MS identification. No prostate-specific-antigen-independent biomarkers were detected in the prostate cancer data set. CONCLUSIONS AND CLINICAL RELEVANCE Signal processing, local signal-to-noise (SNR) normalization and Bayesian Network Analysis feature selection facilitate robust detection and identification of biomarker proteins in broad-mass-range clinical TOF-MS data.
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Affiliation(s)
- Maureen B Tracy
- William and Mary Research Institute (WMRI), College of William and Mary (CWM), Williamsburg, VA 23187-8795, USA.
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