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Samiminemati A, Aprile D, Siniscalco D, Di Bernardo G. Methods to Investigate the Secretome of Senescent Cells. Methods Protoc 2024; 7:52. [PMID: 39051266 PMCID: PMC11270363 DOI: 10.3390/mps7040052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 06/28/2024] [Accepted: 06/29/2024] [Indexed: 07/27/2024] Open
Abstract
The word "secretome" was first used to describe the proteins that cells secrete under different circumstances; however, recent studies have proven the existence of other molecules such as RNA and chemical compounds in the secretome. The study of secretome has significance for the diagnosis and treatment of disease as it provides insight into cellular functions, including immune responses, development, and homeostasis. By halting cell division, cellular senescence plays a role in both cancer defense and aging by secreting substances known as senescence-associated secretory phenotypes (SASP). A variety of techniques could be used to analyze the secretome: protein-based approaches like mass spectrometry and protein microarrays, nucleic acid-based methods like RNA sequencing, microarrays, and in silico prediction. Each method offers unique advantages and limitations in characterizing secreted molecules. Top-down and bottom-up strategies for thorough secretome analysis are became possible by mass spectrometry. Understanding cellular function, disease causes, and proper treatment targets is aided by these methodologies. Their approaches, benefits, and drawbacks will all be discussed in this review.
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Affiliation(s)
- Afshin Samiminemati
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, Luigi Vanvitelli Campania University, 80138 Naples, Italy; (A.S.); (D.A.); (D.S.)
| | - Domenico Aprile
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, Luigi Vanvitelli Campania University, 80138 Naples, Italy; (A.S.); (D.A.); (D.S.)
| | - Dario Siniscalco
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, Luigi Vanvitelli Campania University, 80138 Naples, Italy; (A.S.); (D.A.); (D.S.)
| | - Giovanni Di Bernardo
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, Luigi Vanvitelli Campania University, 80138 Naples, Italy; (A.S.); (D.A.); (D.S.)
- Sbarro Health Research Organization, Temple University, Philadelphia, PA 19122, USA
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2
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Correnti S, Preianò M, Gamboni F, Stephenson D, Pelaia C, Pelaia G, Savino R, D'Alessandro A, Terracciano R. An integrated metabo-lipidomics profile of induced sputum for the identification of novel biomarkers in the differential diagnosis of asthma and COPD. J Transl Med 2024; 22:301. [PMID: 38521955 PMCID: PMC10960495 DOI: 10.1186/s12967-024-05100-2] [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: 12/21/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Due to their complexity and to the presence of common clinical features, differentiation between asthma and chronic obstructive pulmonary disease (COPD) can be a challenging task, complicated in such cases also by asthma-COPD overlap syndrome. The distinct immune/inflammatory and structural substrates of COPD and asthma are responsible for significant differences in the responses to standard pharmacologic treatments. Therefore, an accurate diagnosis is of central relevance to assure the appropriate therapeutic intervention in order to achieve safe and effective patient care. Induced sputum (IS) accurately mirrors inflammation in the airways, providing a more direct picture of lung cell metabolism in comparison to those specimen that reflect analytes in the systemic circulation. METHODS An integrated untargeted metabolomics and lipidomics analysis was performed in IS of asthmatic (n = 15) and COPD (n = 22) patients based on Ultra-High-Pressure Liquid Chromatography-Mass Spectrometry (UHPLC-MS) and UHPLC-tandem MS (UHPLC-MS/MS). Partial Least Squares-Discriminant Analysis (PLS-DA) was applied to resulting dataset. The analysis of main enriched metabolic pathways and the association of the preliminary metabolites/lipids pattern identified to clinical parameters of asthma/COPD differentiation were explored. Multivariate ROC analysis was performed in order to determine the discriminatory power and the reliability of the putative biomarkers for diagnosis between COPD and asthma. RESULTS PLS-DA indicated a clear separation between COPD and asthmatic patients. Among the 15 selected candidate biomarkers based on Variable Importance in Projection scores, putrescine showed the highest score. A differential IS bio-signature of 22 metabolites and lipids was found, which showed statistically significant variations between asthma and COPD. Of these 22 compounds, 18 were decreased and 4 increased in COPD compared to asthmatic patients. The IS levels of Phosphatidylethanolamine (PE) (34:1), Phosphatidylglycerol (PG) (18:1;18:2) and spermine were significantly higher in asthmatic subjects compared to COPD. CONCLUSIONS This is the first pilot study to analyse the IS metabolomics/lipidomics signatures relevant in discriminating asthma vs COPD. The role of polyamines, of 6-Hydroxykynurenic acid and of D-rhamnose as well as of other important players related to the alteration of glycerophospholipid, aminoacid/biotin and energy metabolism provided the construction of a diagnostic model that, if validated on a larger prospective cohort, might be used to rapidly and accurately discriminate asthma from COPD.
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Affiliation(s)
- Serena Correnti
- Department of Health Sciences, Magna Græcia University, 88100, Catanzaro, Italy.
| | | | - Fabia Gamboni
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Daniel Stephenson
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Corrado Pelaia
- Department of Medical and Surgical Sciences, Magna Græcia University, 88100, Catanzaro, Italy
| | - Girolamo Pelaia
- Department of Health Sciences, Magna Græcia University, 88100, Catanzaro, Italy
| | - Rocco Savino
- Department of Medical and Surgical Sciences, Magna Græcia University, 88100, Catanzaro, Italy
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Rosa Terracciano
- Department of Experimental and Clinical Medicine, Magna Græcia University, 88100, Catanzaro, Italy.
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Rezaeeyan H, Arabfard M, Rasouli HR, Shahriary A, Gh BFNM. Evaluation of common protein biomarkers involved in the pathogenesis of respiratory diseases with proteomic methods: A systematic review. Immun Inflamm Dis 2023; 11:e1090. [PMID: 38018577 PMCID: PMC10659759 DOI: 10.1002/iid3.1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/22/2023] [Accepted: 11/04/2023] [Indexed: 11/30/2023] Open
Abstract
AIM Respiratory disease (RD) is one of the most common diseases characterized by lung dysfunction. Many diagnostic mechanisms have been used to identify the pathogenic agents of responsible for RD. Among these, proteomics emerges as a valuable diagnostic method for pinpointing the specific proteins involved in RD pathogenesis. Therefore, in this study, for the first time, we examined the protein markers involved in the pathogenesis of chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), asthma, bronchiolitis obliterans (BO), and chemical warfare victims exposed to mustard gas, using the proteomics method as a systematic study. MATERIALS AND METHODS A systematic search was performed up to September 2023 on several databases, including PubMed, Scopus, ISI Web of Science, and Cochrane. In total, selected 4246 articles were for evaluation according to the criteria. Finally, 119 studies were selected for this systematic review. RESULTS A total of 13,806 proteins were identified, 6471 in COPD, 1603 in Asthma, 5638 in IPF, three in BO, and 91 in mustard gas exposed victims. Alterations in the expression of these proteins were observed in the respective diseases. After evaluation, the results showed that 31 proteins were found to be shared among all five diseases. CONCLUSION Although these 31 proteins regulate different factors and molecular pathways in all five diseases, they ultimately lead to the regulation of inflammatory pathways. In other words, the expression of some proteins in COPD and mustard-exposed patients increases inflammatory reactions, while in IPF, they cause lung fibrosis. Asthma, causes allergic reactions due to T-cell differentiation toward Th2.
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Affiliation(s)
- Hadi Rezaeeyan
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion MedicineIranian Blood Transfusion Organization (IBTO)TehranIran
| | - Masoud Arabfard
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
| | - Hamid R. Rasouli
- Trauma Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | - Alireza Shahriary
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
| | - B. Fatemeh Nobakht M. Gh
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
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D’Amato M, Iadarola P, Viglio S. Proteomic Analysis of Human Sputum for the Diagnosis of Lung Disorders: Where Are We Today? Int J Mol Sci 2022; 23:ijms23105692. [PMID: 35628501 PMCID: PMC9144372 DOI: 10.3390/ijms23105692] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/13/2022] [Accepted: 05/18/2022] [Indexed: 02/07/2023] Open
Abstract
The identification of markers of inflammatory activity at the early stages of pulmonary diseases which share common characteristics that prevent their clear differentiation is of great significance to avoid misdiagnosis, and to understand the intrinsic molecular mechanism of the disorder. The combination of electrophoretic/chromatographic methods with mass spectrometry is currently a promising approach for the identification of candidate biomarkers of a disease. Since the fluid phase of sputum is a rich source of proteins which could provide an early diagnosis of specific lung disorders, it is frequently used in these studies. This report focuses on the state-of-the-art of the application, over the last ten years (2011-2021), of sputum proteomics in the investigation of severe lung disorders such as COPD; asthma; cystic fibrosis; lung cancer and those caused by COVID-19 infection. Analysis of the complete set of proteins found in sputum of patients affected by these disorders has allowed the identification of proteins whose levels change in response to the organism's condition. Understanding proteome dynamism may help in associating these proteins with alterations in the physiology or progression of diseases investigated.
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Affiliation(s)
- Maura D’Amato
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; (M.D.); (S.V.)
| | - Paolo Iadarola
- Department of Biology and Biotechnologies “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy
- Correspondence:
| | - Simona Viglio
- Department of Molecular Medicine, University of Pavia, 27100 Pavia, Italy; (M.D.); (S.V.)
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Foreman RE, George AL, Reimann F, Gribble FM, Kay RG. Peptidomics: A Review of Clinical Applications and Methodologies. J Proteome Res 2021; 20:3782-3797. [PMID: 34270237 DOI: 10.1021/acs.jproteome.1c00295] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Improvements in both liquid chromatography (LC) and mass spectrometry (MS) instrumentation have greatly enhanced proteomic and small molecule metabolomic analysis in recent years. Less focus has been on the improved capability to detect and quantify small bioactive peptides, even though the exact sequences of the peptide species produced can have important biological consequences. Endogenous bioactive peptide hormones, for example, are generated by the targeted and regulated cleavage of peptides from their prohormone sequence. This process may include organ specific variants, as proglucagon is converted to glucagon in the pancreas but glucagon-like peptide-1 (GLP-1) in the small intestine, with glucagon raising, whereas GLP-1, as an incretin, lowering blood glucose. Therefore, peptidomics workflows must preserve the structure of the processed peptide products to prevent the misidentification of ambiguous peptide species. The poor in vivo and in vitro stability of peptides in biological matrices is a major factor that needs to be considered when developing methods to study them. The bioinformatic analysis of peptidomics data sets requires the inclusion of specific post-translational modifications, which are critical for the function of many bioactive peptides. This review aims to discuss and contrast the various extraction, analytical, and bioinformatics approaches used for human peptidomics studies in a multitude of matrices.
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Affiliation(s)
- Rachel E Foreman
- University of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K
| | - Amy L George
- University of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K
| | - Frank Reimann
- University of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K
| | - Fiona M Gribble
- University of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K
| | - Richard G Kay
- University of Cambridge Metabolic Research Laboratories, Level 4, Wellcome Trust-MRC Institute of Metabolic Science, Box 289, Addenbrooke's Hospital, Cambridge CB2 0QQ, U.K
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Khurshid Z, Warsi I, Moin SF, Slowey PD, Latif M, Zohaib S, Zafar MS. Biochemical analysis of oral fluids for disease detection. Adv Clin Chem 2020; 100:205-253. [PMID: 33453866 DOI: 10.1016/bs.acc.2020.04.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The field of diagnostics using invasive blood testing represents the majority of diagnostic tests used as part of routine health monitoring. The relatively recent introduction of salivary diagnostics has lead to a major paradigm shift in diagnostic analyses. Additionally, in this era of big data, oral fluid testing has shown promising outcomes in a number of fields, particularly the areas of genomics, microbiomics, proteomics, metabolomics, and transcriptomics. Despite the analytical challenges involved in the interpretation of large datasets generated from biochemical studies involving bodily fluids, including saliva, many studies have identified novel oral biomarkers for diagnosing oral and systemic diseases. In this regard, oral biofluids, including saliva, gingival crevicular fluid (GCF), peri-implant crevicular fluid (PICF), dentinal tubular fluid (DTF), are now attracting increasing attention due to their important attributes, such as noninvasive sampling, easy handling, low cost, and more accurate diagnosis of oral diseases. Recently, the utilization of salivary diagnostics to evaluate systemic diseases and monitor general health has increased in popularity among clinicians. Saliva contains a wide range of protein, DNA and RNA biomarkers, which assist in the diagnosis of multiple diseases and conditions, including cancer, cardiovascular diseases (CVD), auto-immune and degenerative diseases, respiratory infections, oral diseases, and microbial (viral, bacterial and fungal) diseases. Moreover, due to its noninvasive nature and ease-of-adoption by children, it is now being used in mass screening programs, oral health-related studies and clinical trials in support of the development of therapeutic agents. The recent advent of highly sensitive technologies, such as next-generation sequencing, mass spectrometry, highly sensitives ELISAs, and homogeneous immunoassays, suggests that even small quantities of salivary biomarkers are able to be assayed accurately, providing opportunities for the development of many future diagnostic applications (including emerging technologies, such as point-of-care and rapid molecular technologies). The present article explores the omics and biochemical compositions of various oral biofluids with important value in diagnostics and monitoring.
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Affiliation(s)
- Zohaib Khurshid
- Department of Prosthodontics and Dental Implantology, College of Dentistry, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Ibrahim Warsi
- Masters in Medical Science and Clinical Investigation, Harvard Medical School, Boston, MA, United States
| | - Syed F Moin
- National Center for Proteomics, University of Karachi, Karachi, Pakistan
| | - Paul D Slowey
- Oasis Diagnostics® Corporation, Vancouver, WA, United States
| | - Muhammad Latif
- Centre for Genetics and Inherited Diseases (CGID), Taibah University, Al Madinah Al Munawwarah, Saudi Arabia
| | - Sana Zohaib
- Department of Biomedical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Muhammad S Zafar
- Department of Restorative Dentistry, College of Dentistry, Taibah University, Al Madinah Al Munawwarah, Saudi Arabia; Department of Dental Materials, Islamic International Dental College, Riphah International University, Islamabad, Pakistan.
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Terracciano R, Preianò M, Maggisano G, Pelaia C, Savino R. Hexagonal Mesoporous Silica as a Rapid, Efficient and Versatile Tool for MALDI-TOF MS Sample Preparation in Clinical Peptidomics Analysis: A Pilot Study. Molecules 2019; 24:molecules24122311. [PMID: 31234484 PMCID: PMC6631377 DOI: 10.3390/molecules24122311] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 06/11/2019] [Accepted: 06/20/2019] [Indexed: 11/25/2022] Open
Abstract
Improvement in high-throughput MALDI-TOF MS analysis requires practical and efficient sample preparation protocols for high acquisition rates. The use of hexagonal mesoporous silica (HMS) sorbents in combination with MALDI-TOF MS was explored as a versatile tool for peptidomic profiling of clinical specimens difficult to process, but considered important sources of disease biomarkers: synovial fluid and sputum. A rapid and efficient procedure, based on dispersive solid-phase extraction of peptides using commercially available wormhole mesostructured HMS, was tested for: a) pre-concentration of standard peptides in serially diluted solution up to the sub-nanomolar range; b) peptidome profiling of sputum and synovial fluid. The use of HMS, as dispersed sponges, significantly amplified the peptidic repertoire of sputum and synovial fluid by excluding from the adsorptive process large size proteins, which mask and/or suppress peptidome signals. The protocol proposed, as dispersive solid phase extraction, ensures good analytical performances. Moreover, it is economical and rapid, as it avoids the use of less reproducible and prolonged sample preparation procedures, such as the use of ultrafiltration filter devices. These findings may contribute to defining a high-throughput screening MS-based platform for monitoring key peptidic features of difficult to analyse bodily fluids in a clinical setting.
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Affiliation(s)
- Rosa Terracciano
- Department of Health Sciences, University "Magna Græcia", 88100 Catanzaro, Italy.
| | | | - Giuseppina Maggisano
- Department of Health Sciences, University "Magna Græcia", 88100 Catanzaro, Italy.
| | - Corrado Pelaia
- Department of Medical and Surgical Sciences, University "Magna Græcia", 88100 Catanzaro, Italy.
| | - Rocco Savino
- Department of Health Sciences, University "Magna Græcia", 88100 Catanzaro, Italy.
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Moon JY, Leitao Filho FS, Shahangian K, Takiguchi H, Sin DD. Blood and sputum protein biomarkers for chronic obstructive pulmonary disease (COPD). Expert Rev Proteomics 2018; 15:923-935. [PMID: 30362838 DOI: 10.1080/14789450.2018.1539670] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) is a heterogeneous set of disorders, characterized by airflow limitation, and reduced lung function. Despite increasing knowledge regarding its pathophysiology, there has been limited advancement in therapeutics and the current treatment strategy is symptom management and prevention of exacerbations. Areas covered: Biomarkers represent important tools for the implementation of precision medicine. As fundamental molecules of all living processes, proteins could provide crucial information about how genes interact with the environment. Proteomics studies could act as important tools in identifying reliable biomarkers to enable a more precise therapeutic approach. In this review, we will explore the most promising blood and sputum protein biomarkers in COPD that have been consistently reported in the literature. Expert commentary: Given the complexity of COPD, no single protein biomarker has been able to improve the outcomes of COPD patients. According to preliminary studies, precision medicine in COPD will likely require a combination of different proteins in a biomarker panel for clinical translation. With advancements in current mass spectrometry techniques, an enhancement in the identification of new biomarkers will be observed, and improvements in sequence database search can fill in potential gaps between biomarker discovery and patient care.
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Affiliation(s)
- Ji-Yong Moon
- a Centre for Heart and Lung Innovation , St. Paul's Hospital & University of British Columbia , Vancouver , Canada.,b Department of Internal Medicine , Hanyang University College of Medicine , Seoul , Korea
| | - Fernando Sergio Leitao Filho
- a Centre for Heart and Lung Innovation , St. Paul's Hospital & University of British Columbia , Vancouver , Canada.,c Division of Pulmonary Medicine, Department of Medicine , Tokai University School of Medicine , Kanagawa , Japan
| | - Kimeya Shahangian
- a Centre for Heart and Lung Innovation , St. Paul's Hospital & University of British Columbia , Vancouver , Canada
| | - Hiroto Takiguchi
- a Centre for Heart and Lung Innovation , St. Paul's Hospital & University of British Columbia , Vancouver , Canada.,d Division of Respiratory Medicine (Department of Medicine) , University of British Columbia , Vancouver , Canada
| | - Don D Sin
- a Centre for Heart and Lung Innovation , St. Paul's Hospital & University of British Columbia , Vancouver , Canada.,d Division of Respiratory Medicine (Department of Medicine) , University of British Columbia , Vancouver , Canada
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Cagnone M, Salvini R, Bardoni A, Fumagalli M, Iadarola P, Viglio S. Searching for biomarkers of chronic obstructive pulmonary disease using proteomics: The current state. Electrophoresis 2018; 40:151-164. [PMID: 30216498 DOI: 10.1002/elps.201800305] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/10/2018] [Accepted: 09/10/2018] [Indexed: 12/24/2022]
Abstract
Detection of proteins which may be potential biomarkers of disorders represents a big step forward in understanding the molecular mechanisms that underlie pathological processes. In this context proteomics plays the important role of opening a path for the identification of molecular signatures that can potentially assist in early diagnosis of several clinical disturbances. Aim of this report is to provide an overview of the wide variety of proteomic strategies that have been applied to the investigation of chronic obstructive pulmonary disease (COPD), a severe disorder that causes an irreversible damage to the lungs and for which there is no cure yet. The results in this area published over the past decade show that proteomics indeed has the ability of monitoring alterations in expression profiles of proteins from fluids/tissues of patients affected by COPD and healthy controls. However, these data also suggest that proteomics, while being an attractive tool for the identification of novel pathological mediators of COPD, remains a technique mainly generated and developed in research laboratories. Great efforts dedicated to the validation of these biological signatures will result in the proof of their clinical utility.
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Affiliation(s)
- Maddalena Cagnone
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, Italy
| | - Roberta Salvini
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, Italy
| | - Anna Bardoni
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, Italy
| | - Marco Fumagalli
- Department of Biology and Biotechnologies "L.Spallanzani", Biochemistry Unit, University of Pavia, Italy
| | - Paolo Iadarola
- Department of Biology and Biotechnologies "L.Spallanzani", Biochemistry Unit, University of Pavia, Italy
| | - Simona Viglio
- Department of Molecular Medicine, Biochemistry Unit, University of Pavia, Italy
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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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Burg D, Schofield JPR, Brandsma J, Staykova D, Folisi C, Bansal A, Nicholas B, Xian Y, Rowe A, Corfield J, Wilson S, Ward J, Lutter R, Fleming L, Shaw DE, Bakke PS, Caruso M, Dahlen SE, Fowler SJ, Hashimoto S, Horváth I, Howarth P, Krug N, Montuschi P, Sanak M, Sandström T, Singer F, Sun K, Pandis I, Auffray C, Sousa AR, Adcock IM, Chung KF, Sterk PJ, Djukanović R, Skipp PJ, The U-Biopred Study Group. Large-Scale Label-Free Quantitative Mapping of the Sputum Proteome. J Proteome Res 2018; 17:2072-2091. [PMID: 29737851 DOI: 10.1021/acs.jproteome.8b00018] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Analysis of induced sputum supernatant is a minimally invasive approach to study the epithelial lining fluid and, thereby, provide insight into normal lung biology and the pathobiology of lung diseases. We present here a novel proteomics approach to sputum analysis developed within the U-BIOPRED (unbiased biomarkers predictive of respiratory disease outcomes) international project. We present practical and analytical techniques to optimize the detection of robust biomarkers in proteomic studies. The normal sputum proteome was derived using data-independent HDMSE applied to 40 healthy nonsmoking participants, which provides an essential baseline from which to compare modulation of protein expression in respiratory diseases. The "core" sputum proteome (proteins detected in ≥40% of participants) was composed of 284 proteins, and the extended proteome (proteins detected in ≥3 participants) contained 1666 proteins. Quality control procedures were developed to optimize the accuracy and consistency of measurement of sputum proteins and analyze the distribution of sputum proteins in the healthy population. The analysis showed that quantitation of proteins by HDMSE is influenced by several factors, with some proteins being measured in all participants' samples and with low measurement variance between samples from the same patient. The measurement of some proteins is highly variable between repeat analyses, susceptible to sample processing effects, or difficult to accurately quantify by mass spectrometry. Other proteins show high interindividual variance. We also highlight that the sputum proteome of healthy individuals is related to sputum neutrophil levels, but not gender or allergic sensitization. We illustrate the importance of design and interpretation of disease biomarker studies considering such protein population and technical measurement variance.
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Affiliation(s)
- Dominic Burg
- Centre for Proteomic Research, Biological Sciences , University of Southampton , Southampton SO17 1BJ , U.K.,NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - James P R Schofield
- Centre for Proteomic Research, Biological Sciences , University of Southampton , Southampton SO17 1BJ , U.K.,NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Joost Brandsma
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Doroteya Staykova
- Centre for Proteomic Research, Biological Sciences , University of Southampton , Southampton SO17 1BJ , U.K
| | - Caterina Folisi
- Centre for Proteomic Research, Biological Sciences , University of Southampton , Southampton SO17 1BJ , U.K
| | | | - Ben Nicholas
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Yang Xian
- Data Science Institute , Imperial College London , London SW7 2AZ , U.K
| | - Anthony Rowe
- Janssen Research & Development , Buckinghamshire HP12 4DP , U.K
| | | | - Susan Wilson
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Jonathan Ward
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Rene Lutter
- AMC, Department of Experimental Immunology , University of Amsterdam , 1012 WX Amsterdam , The Netherlands.,AMC, Department of Respiratory Medicine , University of Amsterdam , 1012 WX Amsterdam , The Netherlands
| | - Louise Fleming
- Airways Disease , National Heart and Lung Institute, Imperial College, London & Royal Brompton NIHR Biomedical Research Unit , London SW7 2AZ , United Kingdom
| | - Dominick E Shaw
- Respiratory Research Unit , University of Nottingham , Nottingham NG7 2RD , U.K
| | - Per S Bakke
- Institute of Medicine , University of Bergen , 5007 Bergen , Norway
| | - Massimo Caruso
- Department of Clinical and Experimental Medicine Hospital University , University of Catania , 95124 Catania , Italy
| | - Sven-Erik Dahlen
- The Centre for Allergy Research , The Institute of Environmental Medicine, Karolinska Institutet , SE-171 77 Stockholm , Sweden
| | - Stephen J Fowler
- Respiratory and Allergy Research Group , University of Manchester , Manchester M13 9PL , U.K
| | - Simone Hashimoto
- Department of Respiratory Medicine, Academic Medical Centre , University of Amsterdam , 1012 WX Amsterdam , The Netherlands
| | - Ildikó Horváth
- Department of Pulmonology , Semmelweis University , Budapest 1085 , Hungary
| | - Peter Howarth
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Norbert Krug
- Fraunhofer Institute for Toxicology and Experimental Medicine Hannover , 30625 Hannover , Germany
| | - Paolo Montuschi
- Faculty of Medicine , Catholic University of the Sacred Heart , 00168 Rome , Italy
| | - Marek Sanak
- Laboratory of Molecular Biology and Clinical Genetics, Medical College , Jagiellonian University , 31-007 Krakow , Poland
| | - Thomas Sandström
- Department of Medicine, Department of Public Health and Clinical Medicine Respiratory Medicine Unit , Umeå University , 901 87 Umeå , Sweden
| | - Florian Singer
- University Children's Hospital Zurich , 8032 Zurich , Switzerland
| | - Kai Sun
- Data Science Institute , Imperial College London , London SW7 2AZ , U.K
| | - Ioannis Pandis
- Data Science Institute , Imperial College London , London SW7 2AZ , U.K
| | - Charles Auffray
- European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL-INSERM , Université de Lyon , 69007 Lyon , France
| | - Ana R Sousa
- Respiratory Therapeutic Unit, GSK , Stockley Park , Uxbridge UB11 1BT , U.K
| | - Ian M Adcock
- Cell and Molecular Biology Group, Airways Disease Section , National Heart and Lung Institute, Imperial College London , Dovehouse Street , London SW3 6LR , U.K
| | - Kian Fan Chung
- Airways Disease , National Heart and Lung Institute, Imperial College, London & Royal Brompton NIHR Biomedical Research Unit , London SW7 2AZ , United Kingdom
| | - Peter J Sterk
- AMC, Department of Experimental Immunology , University of Amsterdam , 1012 WX Amsterdam , The Netherlands
| | - Ratko Djukanović
- NIHR Southampton Biomedical Research Centre, Clinical and Experimental Sciences, Faculty of Medicine , University of Southampton , Southampton SO16 6YD , U.K
| | - Paul J Skipp
- Centre for Proteomic Research, Biological Sciences , University of Southampton , Southampton SO17 1BJ , U.K
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12
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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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13
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Long XY, Zhang ZJ, Li JY, Sheng D, Lian HZ. Controllable Preparation of CuFeMnO4 Nanospheres as a Novel Multifunctional Affinity Probe for Efficient Adsorption and Selective Enrichment of Low-Abundance Peptides and Phosphopeptides. Anal Chem 2017; 89:10446-10453. [DOI: 10.1021/acs.analchem.7b02476] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Xing-Yu Long
- State Key Laboratory of Analytical Chemistry for Life Science, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering and Center of Materials Analysis, Nanjing University, Nanjing 210023, China
- Editorial
Department of Journal, Guizhou Normal University, Guiyang 550001, China
| | - Zi-Jin Zhang
- State Key Laboratory of Analytical Chemistry for Life Science, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering and Center of Materials Analysis, Nanjing University, Nanjing 210023, China
| | - Jia-Yuan Li
- State Key Laboratory of Analytical Chemistry for Life Science, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering and Center of Materials Analysis, Nanjing University, Nanjing 210023, China
| | - Dong Sheng
- State Key Laboratory of Analytical Chemistry for Life Science, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering and Center of Materials Analysis, Nanjing University, Nanjing 210023, China
| | - Hong-Zhen Lian
- State Key Laboratory of Analytical Chemistry for Life Science, Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry & Chemical Engineering and Center of Materials Analysis, Nanjing University, Nanjing 210023, China
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14
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Iadarola P, Viglio S. Spit it out! How could the sputum proteome aid clinical research into pulmonary diseases? Expert Rev Proteomics 2017; 14:391-393. [PMID: 28388247 DOI: 10.1080/14789450.2017.1317246] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Paolo Iadarola
- a Department of Biology and Biotechnologies, "L. Spallanzani", Biochemistry Unit , University of Pavia , Pavia , Italy
| | - Simona Viglio
- b Department of Molecular Medicine, Biochemistry Unit , University of Pavia , Pavia , Italy
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15
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Lombardo N, Preianò M, Maggisano G, Murfuni MS, Messina L, Pelaia G, Savino R, Terracciano R. A rapid differential display analysis of nasal swab fingerprints to distinguish allergic from non-allergic rhinitis subjects by mesoporous silica particles and MALDI-TOF mass spectrometry. Proteomics 2017; 17. [PMID: 28012241 DOI: 10.1002/pmic.201600215] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Revised: 09/01/2016] [Accepted: 12/19/2016] [Indexed: 12/13/2022]
Abstract
Discriminating different rhinitis cases can sometimes be difficult as the diagnostic criteria used to identify the various subgroups are not always unambiguous. The nasal fluid (NF) highly reflects the pathophysiology of these inflammatory diseases. However, its collection, as nasal lavage fluid, may cause discomfort. Due to the non-invasiveness and rapidity of collection, nasal swab might represent an alternative to overcome these problems and also an ideal source of biomarkers. In this study, we demonstrate that the combined use of mesoporous silica (MPS) with MALDI-TOF MS allows the rapid detection of differential nasal peptide profiles from nasal swabs of healthy (H), allergic rhinitis (AR) and non-allergic rhinitis (NAR) subjects. NF peptides from nasal swabs were captured by the mean of MPS then profiled by MALDI-TOF MS. As a proof-of-principle, we also explored the ability of our platform to discriminate between nasal swabs of patients with AR and NAR, and between these groups and H controls. Four peaks resulted differentially expressed between NAR and AR, two peaks discriminated AR from H while one peak segregated NAR from H group. Therefore, peptides selected and enriched by our platform could form a part of a diagnostic ''rhinomic'' profile of the allergic and non-allergic patients.
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Affiliation(s)
- Nicola Lombardo
- Department of Medical and Surgical Sciences, University "Magna Graecia", Catanzaro, Italy
| | - Mariaimmacolata Preianò
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Graecia", Catanzaro, Italy
| | - Giuseppina Maggisano
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Graecia", Catanzaro, Italy
| | - Maria Stella Murfuni
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Graecia", Catanzaro, Italy
| | - Luigi Messina
- Department of Medical and Surgical Sciences, University "Magna Graecia", Catanzaro, Italy
| | - Girolamo Pelaia
- Department of Medical and Surgical Sciences, University "Magna Graecia", Catanzaro, Italy
| | - Rocco Savino
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Graecia", Catanzaro, Italy
| | - Rosa Terracciano
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Graecia", Catanzaro, Italy
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16
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Kotawong K, Thitapakorn V, Roytrakul S, Phaonakrop N, Viyanant V, Na-Bangchang K. Plasma Peptidome as a Source of Biomarkers for Diagnosis of Cholangiocarcinoma. Asian Pac J Cancer Prev 2017; 17:1163-8. [PMID: 27039742 DOI: 10.7314/apjcp.2016.17.3.1163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Cholangiocarcinoma (CCA) is the bile duct cancer which constitutes one of the important public health problems in Thailand with high mortality rate, especially in the Opisthorchis viverrini (a parasite risk factor for CCA) endemic area of the northeastern region of the country. This study aimed to identify potential biomarkers from the plasma peptidome by CCA patients. Peptides were isolated using 10 kDa cut-off filter column and the flow-through was then used as a peptidome for LC-MS/MS analysis. A total of 209 peptides were obtained. Among these, 15 peptides were concerned with signaling pathways and 12 related to metabolic, regulatory, and biosynthesis of secondary metabolite pathways. Five exclusive peptides were identified as potential biomarkers, i.e. ETS domain-containing transcription factor ERF (P50548), KIAA0220 (Q92617), phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit beta isoform isoform 1 (P42338), LP2209 (Q6XYC0), and casein kinase II subunit alpha (P19784). Three of these biomarkers are signaling related molecules. A combination of these biomarkers for CCA diagnosis is proposed.
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Affiliation(s)
- Kanawut Kotawong
- Graduate Program in Bioclinical Sciences, Chulabhorn International College of Medicine, Thammasat University, Pathumthani, Thailand E-mail :
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17
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Ghosh N, Dutta M, Singh B, Banerjee R, Bhattacharyya P, Chaudhury K. Transcriptomics, proteomics and metabolomics driven biomarker discovery in COPD: an update. Expert Rev Mol Diagn 2016; 16:897-913. [PMID: 27267972 DOI: 10.1080/14737159.2016.1198258] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Diagnosis of chronic obstructive pulmonary disease (COPD), characterized by progressive irreversible airflow limitation, remains a challenge. Lack of sensitive diagnostic markers and alternative treatments have limited patients' survival rate. Herein, we provide for clinicians and scientists a comprehensive review on the various omics platforms used to investigate COPD. AREAS COVERED This review consists of articles from PubMed (2009-2016) as well as views of the contributing authors. The review highlights the need for COPD biomarker identification and also provides an update on promising candidate markers identified in various biological fluids using omics technologies. Expert commentary: The multi-omics approach holds promise for the development of robust early stage COPD diagnostic markers, screening of high-risk population, and also improved prognosis which could lead to personalized medicine in future. Various factors regulating an omics study including sample size, control selection, disease phenotyping, usage of complementary techniques and result replication in omics-based research are outlined.
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Affiliation(s)
- Nilanjana Ghosh
- a School of Medical Science and Technology , Indian Institute of Technology Kharagpur , Kharagpur , India
| | - Mainak Dutta
- a School of Medical Science and Technology , Indian Institute of Technology Kharagpur , Kharagpur , India
| | - Brajesh Singh
- a School of Medical Science and Technology , Indian Institute of Technology Kharagpur , Kharagpur , India
| | - Rintu Banerjee
- b Department of Agricultural & Food Engineering , Indian Institute of Technology Kharagpur , Kharagpur , India
| | | | - Koel Chaudhury
- a School of Medical Science and Technology , Indian Institute of Technology Kharagpur , Kharagpur , India
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18
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Challenges in biomarker discovery with MALDI-TOF MS. Clin Chim Acta 2016; 458:84-98. [PMID: 27134187 DOI: 10.1016/j.cca.2016.04.033] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 04/21/2016] [Accepted: 04/27/2016] [Indexed: 12/30/2022]
Abstract
MALDI-TOF MS technique is commonly used in system biology and clinical studies to search for new potential markers associated with pathological conditions. Despite numerous concerns regarding a sample preparation or processing of complex data, this strategy is still recognized as a popular tool and its awareness has risen in the proteomic community over the last decade. In this review, we present comprehensive application of MALDI mass spectrometry with special focus on profiling research. We also discuss major advantages and disadvantages of universal sample preparation methods such as micro-SPE columns, immunodepletion or magnetic beads, and we show the potential of nanostructured materials in capturing low molecular weight subproteomes. Furthermore, as the general protocol considerably affects spectra quality and interpretation, an alternative solution for improved ion detection, including hydrophobic constituents, data processing and statistical analysis is being considered in up-to-date profiling pattern. In conclusion, many reports involving MALDI-TOF MS indicated highly abundant proteins as valuable indicators, and at the same time showed the inaccuracy of available methods in the detection of low abundant proteome that is the most interesting from the clinical perspective. Therefore, the analytical aspects of sample preparation methods should be standardized to provide a reproducible, low sample handling and credible procedure.
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19
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Tan J, Chen X, Du G, Luo Q, Li X, Liu Y, Liang X, Wu J. Multi-dimensional on-particle detection technology for multi-category disease classification. Chem Commun (Camb) 2016; 52:3490-3. [DOI: 10.1039/c5cc09419d] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Multidimensional on-particle detection technology expands the capacity of serum peptide information and reveals disease biomarkers for future clinical diagnosis.
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Affiliation(s)
- Jie Tan
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Xiaomin Chen
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Guansheng Du
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Qiaohui Luo
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Xiao Li
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Yaqing Liu
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
| | - Xiao Liang
- Department of General Surgery
- Sir Run Run Shaw Hospital School of Medicine
- Zhejiang University
- Hangzhou
- China
| | - Jianmin Wu
- Institute of Microanalytical System (IMAS)
- Department of Chemistry
- Zhejiang University
- Hangzhou
- China
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20
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Sassi M, Arena S, Scaloni A. MALDI-TOF-MS Platform for Integrated Proteomic and Peptidomic Profiling of Milk Samples Allows Rapid Detection of Food Adulterations. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2015; 63:6157-6171. [PMID: 26098723 DOI: 10.1021/acs.jafc.5b02384] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Adulteration of ovine, caprine, and buffalo milks with more common bovine material occurs for economic reasons and seasonal availability. Frauds are also associated with the use of powdered milk instead of declared, fresh material. In this context, various analytical methods have been adapted to dairy science applications with the aim to evaluate adulteration of milk samples, although time-consuming, suitable only for speciation or thermal treatment analysis, or useful for a specific fraud type. An integrated MALDI-TOF-MS platform for the combined peptidomic and proteomic profiling of milk samples is here presented, which allows rapid detection of illegal adulterations due to the addition of either nondeclared bovine material to water buffalo, goat, and ovine milks or of powdered bovine milk to the fresh counterpart. Peptide and protein markers of each animal milk were identified after direct analysis of a large number of diluted skimmed and/or enriched diluted skimmed filtrate samples. In parallel, markers of thermal treatment were characterized in different types of commercial milks. Principal components scores of ad hoc prepared species- or thermal treatment-associated adulterated milk samples were subjected to partial least-squares regression, permitting a fast accurate estimate of the fraud extents in test samples at either protein and peptide level. With respect to previous reports on MALDI-TOF-MS protein profiling methodologies for milk speciation, this study extends that approach to the analysis of the thermal treatment and introduces an independent, complementary peptide profiling measurement, which integrates protein data with additional information on peptides, validating final results and ultimately broadening the method applicability.
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21
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Diagnostic model of saliva peptide finger print analysis of oral squamous cell carcinoma patients using weak cation exchange magnetic beads. Biosci Rep 2015; 35:BSR20150023. [PMID: 26182373 PMCID: PMC4613719 DOI: 10.1042/bsr20150023] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 05/08/2015] [Indexed: 12/20/2022] Open
Abstract
Whole saliva (WS) was used for diagnosis of oral squamous cell carcinoma (OSCC); two polypeptides may be used for OSCC diagnosis. Saliva diagnostics utilizing nanotechnology and molecular technologies to detect oral squamous cell carcinoma (OSCC) has become an attractive field of study. However, no specific methods have been established. To refine the diagnostic power of saliva peptide fingerprints for the early detection of OSCC, we screened the expression spectrum of salivary peptides in 40 T1 stage OSCC patients (and healthy controls) using MALDI-TOF-MS combined with magnetic beads. Fifty proteins showed significantly different expression levels in the OSCC samples (P<0.05). Potential biomarkers were also predicted. The novel diagnostic proteomic model with m/z peaks of 1285.6 Da and 1432.2 Da are of certain value for early diagnosis of OSCC.
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22
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Padoan A, Basso D, La Malfa M, Zambon CF, Aiyetan P, Zhang H, Di Chiara A, Pavanello G, Bellocco R, Chan DW, Plebani M. Reproducibility in urine peptidome profiling using MALDI-TOF. Proteomics 2015; 15:1476-85. [DOI: 10.1002/pmic.201400253] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Revised: 10/09/2014] [Accepted: 12/15/2014] [Indexed: 12/18/2022]
Affiliation(s)
- Andrea Padoan
- Department of Medicine-DIMED; University of Padova; Padova Italy
| | - Daniela Basso
- Department of Medicine-DIMED; University of Padova; Padova Italy
| | - Marco La Malfa
- Department of Medicine-DIMED; University of Padova; Padova Italy
| | | | - Paul Aiyetan
- Department of Pathology; Johns Hopkins University School of Medicine; Baltimore MD USA
| | - Hui Zhang
- Department of Pathology; Johns Hopkins University School of Medicine; Baltimore MD USA
| | | | | | - Rino Bellocco
- Department of Statistics and Quantitative Methods; University of Milano-Bicocca; Milano Italy
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute; Stockholm Sweden
| | - Daniel W. Chan
- Department of Pathology; Johns Hopkins University School of Medicine; Baltimore MD USA
| | - Mario Plebani
- Department of Medicine-DIMED; University of Padova; Padova Italy
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23
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Terracciano R, Pelaia G, Preianò M, Savino R. Asthma and COPD proteomics: current approaches and future directions. Proteomics Clin Appl 2015; 9:203-20. [PMID: 25504544 DOI: 10.1002/prca.201400099] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Revised: 11/26/2014] [Accepted: 12/08/2014] [Indexed: 12/25/2022]
Abstract
Although asthma and chronic obstructive pulmonary disease COPD represent the two most common chronic respiratory diseases worldwide, the mechanisms underlying their pathobiology need to be further elucidated. Presently, differentiation of asthma and COPD are largely based on clinical and lung function parameters. However, the complexity of these multifactorial diseases may lead to misclassification and to inappropriate management strategies. Recently, tremendous progress in MS has extended the sensitivity, accuracy, and speed of analysis, enabling the identification of thousands of proteins per experiment. Beyond identification, MS has also greatly implemented quantitation issues allowing to assess qualitative-quantitative differences in protein profiles of different samples, in particular diseased versus normal. Herein, we provide a summary of recent proteomics-based investigations in the field of asthma/COPD, highlighting major issues related to sampling and processing procedures for proteomic analyses of specific airway and parenchymal specimens (induced sputum, exhaled breath condensate, epithelial lining fluid, bronchoalveolar and nasal lavage fluid), as well as blood-derived specimen (plasma and serum). Within such a context, together with current difficulties and limitations mainly due to lack of general standardization in preanalytical sampling procedure, our discussion will focus on the challenges and possible benefits of proteomic studies in phenotypic stratification of asthma and COPD.
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Affiliation(s)
- Rosa Terracciano
- Department of Health Sciences, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
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24
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Wang Q, Yu Q, Lin Q, Duan Y. Emerging salivary biomarkers by mass spectrometry. Clin Chim Acta 2015; 438:214-21. [DOI: 10.1016/j.cca.2014.08.037] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 08/26/2014] [Accepted: 08/29/2014] [Indexed: 02/02/2023]
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25
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Rossi R, De Palma A, Benazzi L, Riccio AM, Canonica GW, Mauri P. Biomarker discovery in asthma and COPD by proteomic approaches. Proteomics Clin Appl 2014; 8:901-15. [PMID: 25186471 DOI: 10.1002/prca.201300108] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 07/01/2014] [Accepted: 09/01/2014] [Indexed: 11/07/2022]
Abstract
Asthma and chronic obstructive pulmonary disease (COPD) are multifactorial respiratory diseases, characterized by reversible and irreversible airway obstruction, respectively. Even if the primary causes of these diseases remain unknown, inflammation is a central feature that leads to progressive and permanent pulmonary tissue damage (airway remodeling) up to the total loss of lung function. Therefore, the elucidation of the inflammation mechanisms and the characterization of the biological pathways, involved in asthma and COPD pathogenesis, are relevant in finding new possible diagnostic/prognostic biomarkers and for the validation of new drug targets. In this context, current advances in proteomic approaches, especially those based on MS, provide new tools to facilitate the discovery-driven studies of new biomarkers in respiratory diseases and improve the clinical reliability of the next generation of biomarkers for these diseases consisting of multiple phenotypes. This review will report an overview of the current proteomic methods applied to the discovery of candidate biomarkers for asthma and COPD, giving a special emphasis to emerging MS-based techniques.
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Affiliation(s)
- Rossana Rossi
- Institute for Biomedical Technologies (ITB-CNR), Proteomics and Metabolomics Unit, Segrate, MI, Italy
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26
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Top-down analytical platforms for the characterization of the human salivary proteome. Bioanalysis 2014; 6:563-81. [PMID: 24568357 DOI: 10.4155/bio.13.349] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Comprehensive analysis and characterization of the human salivary proteome is an important step towards the possible use of saliva for diagnostic and prognostic purposes. The contribution of the different sources to whole saliva, and the evaluation of individual variability and physiological modifications have been investigated by top-down proteomic approaches, disclosing the faceted and complex profile of the human salivary proteome. All this information is essential to develop saliva protein biomarkers. In this Review the major results obtained in the field by top-down platforms, and the improvements required to allow a more complete picture, will be discussed.
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Wiktorowicz JE, Jamaluddin M. Proteomic analysis of the asthmatic airway. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2014; 795:221-32. [PMID: 24162912 DOI: 10.1007/978-1-4614-8603-9_14] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Proteomic investigations in general utilize varied technologies for sample preparation, separations, quantification, protein identification, and biological rationalization. Their applications range from pure discovery and mechanistic studies to biomarker discovery/verification/validation. In each specific case, the analytical strategy to be implemented is tailored to the type of sample that serves as the target of the investigations. Proteomic investigations take into consideration sample complexity, the cellular heterogeneity (particularly from tissues), the potential dynamic range of the protein and peptide abundance within the sample, the likelihood of posttranslational modifications (PTM), and other important factors that might influence the final output of the study. We describe the sample types typically used for proteomic investigations into the biology of asthma and review the most recent related publications with special attention to those that deal with the unique airway samples such as bronchoalveolar lavage fluids (BALF), epithelial lining fluid and cells (ELF), induced sputum (IS), and exhaled breath condensate (EBC). Finally, we describe the newest proteomics approaches to sample preparation of the unique airway samples, BALF and IS.
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Affiliation(s)
- John E Wiktorowicz
- Department of Biochemistry & Molecular Biology, University of Texas Medical Branch, 2.208A Basic Science Bldg, 301 University Blvd, Galveston, TX, 77555-0635, USA,
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Application of proteomics and peptidomics to COPD. BIOMED RESEARCH INTERNATIONAL 2014; 2014:764581. [PMID: 24895607 PMCID: PMC4026877 DOI: 10.1155/2014/764581] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2014] [Accepted: 03/24/2014] [Indexed: 11/24/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex disorder involving both airways and lung parenchyma, usually associated with progressive and poorly reversible airflow limitation. In order to better characterize the phenotypic heterogeneity and the prognosis of patients with COPD, there is currently an urgent need for discovery and validation of reliable disease biomarkers. Within this context, proteomic and peptidomic techniques are emerging as very valuable tools that can be applied to both systemic and pulmonary samples, including peripheral blood, induced sputum, exhaled breath condensate, bronchoalveolar lavage fluid, and lung tissues. Identification of COPD biomarkers by means of proteomic and peptidomic approaches can thus also lead to discovery of new molecular targets potentially useful to improve and personalize the therapeutic management of this widespread respiratory disease.
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Li QK, Gabrielson E, Askin F, Chan DW, Zhang H. Glycoproteomics using fluid-based specimens in the discovery of lung cancer protein biomarkers: promise and challenge. Proteomics Clin Appl 2014; 7:55-69. [PMID: 23112109 DOI: 10.1002/prca.201200105] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Revised: 10/01/2012] [Accepted: 10/05/2012] [Indexed: 12/29/2022]
Abstract
Lung cancer is the leading cancer in the United States and worldwide. In spite of the rapid progression in personalized treatments, the overall survival rate of lung cancer patients is still suboptimal. Over the past decade, tremendous efforts have been focused on the discovery of protein biomarkers to facilitate the early detection and monitoring of lung cancer progression during treatment. In addition to tumor tissues and cancer cell lines, a variety of biological material has been studied. Particularly in recent years, studies using fluid-based specimen or so-called "fluid-biopsy" specimens have progressed rapidly. Fluid specimens are relatively easier to collect than tumor tissue, and they can be repeatedly sampled during the disease progression. Glycoproteins are the major content of fluid specimens and have long been recognized to play fundamental roles in many physiological and pathological processes. In this review, we focus the discussion on recent advances of glycoproteomics, particularly in the identification of potential glyco protein biomarkers using fluid-based specimens in lung cancer. The purpose of this review is to summarize current strategies, achievements, and perspectives in the field. This insight will highlight the discovery of tumor-associated glycoprotein biomarkers in lung cancer and their potential clinical applications.
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Affiliation(s)
- Qing Kay Li
- Department of Pathology, The Johns Hopkins Medical Institutions, Baltimore, MD 21224, USA.
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Cheng G, Wang Y, Wang ZG, Sui XJ, Zhang JL, Ni JZ. Magnetic mesoporous silica incorporated with TiO2for selective and rapid capture of peptides. RSC Adv 2014. [DOI: 10.1039/c3ra46887a] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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Association between low bone mineral density and increased α-defensin in salivary fluid among postmenopausal women. Menopause 2013; 20:1275-9. [DOI: 10.1097/gme.0b013e31829e4055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Heo JS, Park JS, Lee EJ, Kim TH, Jang AS, Park SW, Kim JN, Kim YG, Uh ST, Choi JS, Na JO, Kim YH, Jeong SH, Kim YB, Kim SR, Park CS. Retinoic acid receptor alpha: One of plasma biomarkers associated with exacerbation of chronic obstructive pulmonary disease. COPD 2013; 11:152-62. [DOI: 10.3109/15412555.2013.828028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Romanova EV, Dowd SE, Sweedler JV. Quantitation of endogenous peptides using mass spectrometry based methods. Curr Opin Chem Biol 2013; 17:801-8. [PMID: 23790312 DOI: 10.1016/j.cbpa.2013.05.030] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2013] [Accepted: 05/24/2013] [Indexed: 10/26/2022]
Abstract
The mass spectrometry-based 'omics' sub-discipline that focuses on comprehensive, often exploratory, analyses of endogenous peptides involved in cell-to-cell communication is oftentimes referred to as peptidomics. Although the progress in bioanalytical technology development for peptide discovery has been tremendous, perhaps the largest advances have involved robust quantitative mass spectrometric approaches and data mining algorithms. These efforts have accelerated the discovery and validation of biomarkers, functionally important posttranslational modifications, and unexpected molecular interactions, information that aids drug development. In this article we outline the current approaches used in quantitative peptidomics and the technical challenges that stimulate new advances in the field, while also reviewing the newest literature on functional characterizations of endogenous peptides using quantitative mass spectrometry.
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Affiliation(s)
- Elena V Romanova
- Department of Chemistry and the Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
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Ngounou Wetie AG, Sokolowska I, Woods AG, Wormwood KL, Dao S, Patel S, Clarkson BD, Darie CC. Automated Mass Spectrometry–Based Functional Assay for the Routine Analysis of the Secretome. ACTA ACUST UNITED AC 2013; 18:19-29. [DOI: 10.1177/2211068212454738] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Kossowska B, Dudka I, Gancarz R, Antonowicz-Juchniewicz J. Application of classic epidemiological studies and proteomics in research of occupational and environmental exposure to lead, cadmium and arsenic. Int J Hyg Environ Health 2013; 216:1-7. [DOI: 10.1016/j.ijheh.2012.03.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Revised: 02/16/2012] [Accepted: 03/07/2012] [Indexed: 10/28/2022]
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Pelaia G, Vatrella A, Maselli R. The potential of biologics for the treatment of asthma. Nat Rev Drug Discov 2012. [DOI: 10.1038/nrd3792] [Citation(s) in RCA: 185] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Savino R, Paduano S, Preianò M, Terracciano R. The proteomics big challenge for biomarkers and new drug-targets discovery. Int J Mol Sci 2012. [PMID: 23203042 PMCID: PMC3509558 DOI: 10.3390/ijms131113926] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
In the modern process of drug discovery, clinical, functional and chemical proteomics can converge and integrate synergies. Functional proteomics explores and elucidates the components of pathways and their interactions which, when deregulated, lead to a disease condition. This knowledge allows the design of strategies to target multiple pathways with combinations of pathway-specific drugs, which might increase chances of success and reduce the occurrence of drug resistance. Chemical proteomics, by analyzing the drug interactome, strongly contributes to accelerate the process of new druggable targets discovery. In the research area of clinical proteomics, proteome and peptidome mass spectrometry-profiling of human bodily fluid (plasma, serum, urine and so on), as well as of tissue and of cells, represents a promising tool for novel biomarker and eventually new druggable targets discovery. In the present review we provide a survey of current strategies of functional, chemical and clinical proteomics. Major issues will be presented for proteomic technologies used for the discovery of biomarkers for early disease diagnosis and identification of new drug targets.
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Affiliation(s)
- Rocco Savino
- Department of Health Sciences, Laboratory of Mass Spectrometry and Proteomics, University "Magna Græcia", Catanzaro, University Campus, Europa Avenue, 88100 Catanzaro, Italy.
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Preianò M, Pasqua L, Gallelli L, Galasso O, Gasparini G, Savino R, Terracciano R. Simultaneous extraction and rapid visualization of peptidomic and lipidomic body fluids fingerprints using mesoporous aluminosilicate and MALDI-TOF MS. Proteomics 2012; 12:3286-94. [PMID: 22997056 DOI: 10.1002/pmic.201200204] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2012] [Revised: 08/01/2012] [Accepted: 09/05/2012] [Indexed: 01/15/2023]
Abstract
Herein we report the use of mesoporous aluminosilicate (MPAS) for the simultaneous extraction of peptides and lipids from complex body fluids such as human plasma and synovial fluid. We show that MPAS particles, given their mesostructural features with nanometric pore size and high surface area, are an efficient device for simultaneous extraction of peptidome and lipidome from as little as a few microliters of body fluids. The peptides and the lipids, selected and enriched by MPAS particles and rapidly visualized by MALDI-TOF MS, could form part of a diagnostic profile of the "peptidome" and the "lipidome" of healthy versus diseased subjects in comparative studies. The ability of this approach to rapidly reveal the overall pattern of changes in both lipidome and peptidome signatures of complex biofluids could be of valuable interest for handling large numbers of samples required in -omics studies for the purpose of finding novel biomarkers.
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Goda R, Kobayashi N. Evaluation of peptide adsorption-controlled liquid chromatography–tandem mass spectrometric (PAC-LC–MS/MS) method for simple and simultaneous quantitation of amyloid β 1–38, 1–40, 1–42 and 1–43 peptides in dog cerebrospinal fluid. J Chromatogr B Analyt Technol Biomed Life Sci 2012; 895-896:137-45. [DOI: 10.1016/j.jchromb.2012.03.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2012] [Revised: 03/16/2012] [Accepted: 03/23/2012] [Indexed: 12/14/2022]
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Savino R, Terracciano R. Mesopore-assisted profiling strategies in clinical proteomics for drug/target discovery. Drug Discov Today 2012; 17:143-52. [DOI: 10.1016/j.drudis.2011.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2011] [Revised: 09/23/2011] [Accepted: 10/07/2011] [Indexed: 12/29/2022]
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Savino R, Casadonte F, Terracciano R. In mesopore protein digestion: a new forthcoming strategy in proteomics. Molecules 2011; 16:5938-62. [PMID: 21765391 PMCID: PMC6264412 DOI: 10.3390/molecules16075938] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2011] [Revised: 07/07/2011] [Accepted: 07/13/2011] [Indexed: 01/11/2023] Open
Abstract
The conventional protocols for in solution or in gel protein digestion require many steps and long reaction times. The use of trypsin immobilized onto solid supports has recently captured the attention of many research groups, because these systems can speed-up protein digestion significantly. The utilization of new materials such as mesoporous silica as supports, in which enzyme and substrate are dramatically concentrated and confined in the nanospace, offers new opportunities to reduce the complexity of proteomics workflows. An overview of the procedures for in situ proteolysis of single proteins or complex protein mixtures is reported, with a special focus on porous materials used as catalysts. The challenging efforts for designing such systems aimed at mimicking the biochemistry of living cells are reviewed. Potentials, limitations and challenges of this branch of enzyme catalysis, which we indicate as in mesopore digestion, are discussed, in relation to its suitability for high-speed and high-throughput proteomics.
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Affiliation(s)
| | | | - Rosa Terracciano
- Author to whom correspondence should be addressed; ; Tel.: +39-0961-3694085; Fax: +39-0961-3694090
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