1
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Pollé OG, Pyr Dit Ruys S, Lemmer J, Hubinon C, Martin M, Herinckx G, Gatto L, Vertommen D, Lysy PA. Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission. Sci Rep 2024; 14:20798. [PMID: 39242727 PMCID: PMC11379901 DOI: 10.1038/s41598-024-71717-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 08/30/2024] [Indexed: 09/09/2024] Open
Abstract
Partial remission (PR) occurs in only half of people with new-onset type 1 diabetes (T1D) and corresponds to a transient period characterized by low daily insulin needs, low glycemic fluctuations and increased endogenous insulin secretion. While identification of people with newly-onset T1D and significant residual beta-cell function may foster patient-specific interventions, reliable predictive biomarkers of PR occurrence currently lack. We analyzed the plasma of children with new-onset T1D to identify biomarkers present at diagnosis that predicted PR at 3 months post-diagnosis. We first performed an extensive shotgun proteomic analysis using Liquid Chromatography-Tandem-Mass-Spectrometry (LCMS/MS) on the plasma of 16 children with new-onset T1D and quantified 98 proteins significantly correlating with Insulin-Dose Adjusted glycated hemoglobin A1c score (IDAA1C). We next applied a series of both qualitative and statistical filters and selected protein candidates that were associated to pathophysiological mechanisms related to T1D. Finally, we translationally verified several of the candidates using single-shot targeted proteomic (PRM method) on raw plasma. Taken together, we identified plasma biomarkers present at diagnosis that may predict the occurrence of PR in a single mass-spectrometry run. We believe that the identification of new predictive biomarkers of PR and β-cell function is key to stratify people with new-onset T1D for β-cell preservation therapies.
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Affiliation(s)
- Olivier G Pollé
- Pôle PEDI, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
- Specialized Pediatrics Service, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | | | - Julie Lemmer
- Pôle PEDI, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Camille Hubinon
- Pôle PEDI, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium
| | - Manon Martin
- Computational Biology and Bioinformatics (CBIO) Unit, de Duve Institute, UCLouvain, Brussels, Belgium
| | - Gaetan Herinckx
- MASSPROT Platform, Institut de Duve, UCLouvain, Brussels, Belgium
| | - Laurent Gatto
- Computational Biology and Bioinformatics (CBIO) Unit, de Duve Institute, UCLouvain, Brussels, Belgium
| | - Didier Vertommen
- MASSPROT Platform, Institut de Duve, UCLouvain, Brussels, Belgium
| | - Philippe A Lysy
- Pôle PEDI, Institut de Recherche Expérimentale et Clinique, UCLouvain, Brussels, Belgium.
- Specialized Pediatrics Service, Cliniques universitaires Saint-Luc, Brussels, Belgium.
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2
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Jiang Y, Rex DA, Schuster D, Neely BA, Rosano GL, Volkmar N, Momenzadeh A, Peters-Clarke TM, Egbert SB, Kreimer S, Doud EH, Crook OM, Yadav AK, Vanuopadath M, Hegeman AD, Mayta M, Duboff AG, Riley NM, Moritz RL, Meyer JG. Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry. ACS MEASUREMENT SCIENCE AU 2024; 4:338-417. [PMID: 39193565 PMCID: PMC11348894 DOI: 10.1021/acsmeasuresciau.3c00068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/03/2024] [Accepted: 05/03/2024] [Indexed: 08/29/2024]
Abstract
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins are hydrolyzed into peptides that are analyzed by mass spectrometry. Proteomics studies can be applied to diverse studies ranging from simple protein identification to studies of proteoforms, protein-protein interactions, protein structural alterations, absolute and relative protein quantification, post-translational modifications, and protein stability. To enable this range of different experiments, there are diverse strategies for proteome analysis. The nuances of how proteomic workflows differ may be challenging to understand for new practitioners. Here, we provide a comprehensive overview of different proteomics methods. We cover from biochemistry basics and protein extraction to biological interpretation and orthogonal validation. We expect this Review will serve as a handbook for researchers who are new to the field of bottom-up proteomics.
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Affiliation(s)
- Yuming Jiang
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Devasahayam Arokia
Balaya Rex
- Center for
Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India
| | - Dina Schuster
- Department
of Biology, Institute of Molecular Systems
Biology, ETH Zurich, Zurich 8093, Switzerland
- Department
of Biology, Institute of Molecular Biology
and Biophysics, ETH Zurich, Zurich 8093, Switzerland
- Laboratory
of Biomolecular Research, Division of Biology and Chemistry, Paul Scherrer Institute, Villigen 5232, Switzerland
| | - Benjamin A. Neely
- Chemical
Sciences Division, National Institute of
Standards and Technology, NIST, Charleston, South Carolina 29412, United States
| | - Germán L. Rosano
- Mass
Spectrometry
Unit, Institute of Molecular and Cellular
Biology of Rosario, Rosario, 2000 Argentina
| | - Norbert Volkmar
- Department
of Biology, Institute of Molecular Systems
Biology, ETH Zurich, Zurich 8093, Switzerland
| | - Amanda Momenzadeh
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Trenton M. Peters-Clarke
- Department
of Pharmaceutical Chemistry, University
of California—San Francisco, San Francisco, California, 94158, United States
| | - Susan B. Egbert
- Department
of Chemistry, University of Manitoba, Winnipeg, Manitoba, R3T 2N2 Canada
| | - Simion Kreimer
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
| | - Emma H. Doud
- Center
for Proteome Analysis, Indiana University
School of Medicine, Indianapolis, Indiana, 46202-3082, United States
| | - Oliver M. Crook
- Oxford
Protein Informatics Group, Department of Statistics, University of Oxford, Oxford OX1 3LB, United
Kingdom
| | - Amit Kumar Yadav
- Translational
Health Science and Technology Institute, NCR Biotech Science Cluster 3rd Milestone Faridabad-Gurgaon
Expressway, Faridabad, Haryana 121001, India
| | | | - Adrian D. Hegeman
- Departments
of Horticultural Science and Plant and Microbial Biology, University of Minnesota, Twin Cities, Minnesota 55108, United States
| | - Martín
L. Mayta
- School
of Medicine and Health Sciences, Center for Health Sciences Research, Universidad Adventista del Plata, Libertador San Martin 3103, Argentina
- Molecular
Biology Department, School of Pharmacy and Biochemistry, Universidad Nacional de Rosario, Rosario 2000, Argentina
| | - Anna G. Duboff
- Department
of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Nicholas M. Riley
- Department
of Chemistry, University of Washington, Seattle, Washington 98195, United States
| | - Robert L. Moritz
- Institute
for Systems biology, Seattle, Washington 98109, United States
| | - Jesse G. Meyer
- Department
of Computational Biomedicine, Cedars Sinai
Medical Center, Los Angeles, California 90048, United States
- Smidt Heart
Institute, Cedars Sinai Medical Center, Los Angeles, California 90048, United States
- Advanced
Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los
Angeles, California 90048, United States
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3
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Ashkarran AA, Gharibi H, Modaresi SM, Saei AA, Mahmoudi M. Standardizing Protein Corona Characterization in Nanomedicine: A Multicenter Study to Enhance Reproducibility and Data Homogeneity. NANO LETTERS 2024; 24:9874-9881. [PMID: 39096192 PMCID: PMC11328176 DOI: 10.1021/acs.nanolett.4c02076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/05/2024]
Abstract
We recently revealed significant variability in protein corona characterization across various proteomics facilities, indicating that data sets are not comparable between independent studies. This heterogeneity mainly arises from differences in sample preparation protocols, mass spectrometry workflows, and raw data processing. To address this issue, we developed standardized protocols and unified sample preparation workflows, distributing uniform protein corona digests to several top-performing proteomics centers from our previous study. We also examined the influence of using similar mass spectrometry instruments on data homogeneity and standardized database search parameters and data processing workflows. Our findings reveal a remarkable stepwise improvement in protein corona data uniformity, increasing overlaps in protein identification from 11% to 40% across facilities using similar instruments and through a uniform database search. We identify the key parameters behind data heterogeneity and provide recommendations for designing experiments. Our findings should significantly advance the robustness of protein corona analysis for diagnostic and therapeutics applications.
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Affiliation(s)
- Ali Akbar Ashkarran
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, Michigan 48824, United States
| | - Hassan Gharibi
- Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm 171 77, Sweden
| | | | - Amir Ata Saei
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm 171 65, Sweden
| | - Morteza Mahmoudi
- Department of Radiology and Precision Health Program, Michigan State University, East Lansing, Michigan 48824, United States
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4
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Huang CF, Hollas MA, Sanchez A, Bhattacharya M, Ho G, Sundaresan A, Caldwell MA, Zhao X, Benz R, Siddiqui A, Kelleher NL. Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-down Proteomics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.20.604425. [PMID: 39071411 PMCID: PMC11275834 DOI: 10.1101/2024.07.20.604425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
The dynamic range challenge for detection of proteins and their proteoforms in human plasma has been well documented. Here, we use the nanoparticle protein corona approach to enrich low-abundant proteins selectively and reproducibly from human plasma and use top-down proteomics to quantify differential enrichment for the 2841 detected proteoforms from 114 proteins. Furthermore, nanoparticle enrichment allowed top-down detection of proteoforms between ∼1 µg/mL and ∼10 pg/mL in absolute abundance, providing up to 10 5 -fold increase in proteome depth over neat plasma in which only proteoforms from abundant proteins (>1 µg/mL) were detected. The ability to monitor medium and some low abundant proteoforms through reproducible enrichment significantly extends the applicability of proteoform research by adding depth beyond albumin, immunoglobins and apolipoproteins to uncover many involved in immunity and cell signaling. As proteoforms carry unique information content relative to peptides, this report opens the door to deeper proteoform sequencing in clinical proteomics of disease or aging cohorts.
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5
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Smith BJ, Guest PC, Martins-de-Souza D. Maximizing Analytical Performance in Biomolecular Discovery with LC-MS: Focus on Psychiatric Disorders. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2024; 17:25-46. [PMID: 38424029 DOI: 10.1146/annurev-anchem-061522-041154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In this review, we discuss the cutting-edge developments in mass spectrometry proteomics and metabolomics that have brought improvements for the identification of new disease-based biomarkers. A special focus is placed on psychiatric disorders, for example, schizophrenia, because they are considered to be not a single disease entity but rather a spectrum of disorders with many overlapping symptoms. This review includes descriptions of various types of commonly used mass spectrometry platforms for biomarker research, as well as complementary techniques to maximize data coverage, reduce sample heterogeneity, and work around potentially confounding factors. Finally, we summarize the different statistical methods that can be used for improving data quality to aid in reliability and interpretation of proteomics findings, as well as to enhance their translatability into clinical use and generalizability to new data sets.
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Affiliation(s)
- Bradley J Smith
- 1Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, São Paulo, Brazil;
| | - Paul C Guest
- 1Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, São Paulo, Brazil;
- 2Department of Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- 3Laboratory of Translational Psychiatry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Daniel Martins-de-Souza
- 1Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, São Paulo, Brazil;
- 4Experimental Medicine Research Cluster, University of Campinas, São Paulo, Brazil
- 5National Institute of Biomarkers in Neuropsychiatry, National Council for Scientific and Technological Development, São Paulo, Brazil
- 6D'Or Institute for Research and Education, São Paulo, Brazil
- 7INCT in Modelling Human Complex Diseases with 3D Platforms (Model3D), São Paulo, Brazil
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6
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Nikhil P, Aishwarya D, Dhingra S, Pandey K, Ravichandiran V, Peraman R. Comparative analysis of plasma affinity depletion methods: Impact on protein composition and phosphopeptide abundance in human plasma. Electrophoresis 2024. [PMID: 39031703 DOI: 10.1002/elps.202400030] [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: 02/12/2024] [Revised: 05/09/2024] [Accepted: 06/07/2024] [Indexed: 07/22/2024]
Abstract
Affinity-based protein depletion and TiO2 enrichment methods play a crucial role in detection of low-abundant proteins and phosphopeptides enrichment, respectively. Here, we assessed the effectiveness of HSA/IgG (HU2) and Human 7 (HU7) depletion methods and their impact on phosphopeptides coverage through comparative proteome analysis, utilizing in-solution digestion and nano-LC-Orbitrap mass spectrometry (MS). Our results demonstrated that both HU2 and HU7 affinity depletion significantly decreased high-abundant proteins by 1.5-7.8-fold (p < 0.001). A total of 1491 proteins were identified, with 48 proteins showing significant expression in the depleted groups. Notably, cadherin-13, neutrophil defensin 1, APM1, and desmoplakin variant protein were exclusively detected in the HU2/HU7-depleted groups. Furthermore, study on effect of depletion on phosphopeptides revealed an increase in tandem MS spectral counts with notable decrease (∼50%) in peptide spectrum matching in depleted groups, which was attributed to significant reduction in protein counts. Our post translation modification workflow for phosphoproteomics detected 42 phosphorylated peptides, corresponding to 12 phosphoproteins with unique peptide match ≥2 (high false discovery rates confidence). Among them, 10 phosphorylated proteins are highly expressed in depleted groups. Overall, these findings offer valuable insights in selection of protein depletion methods for comprehensive plasma proteomics analysis.
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Affiliation(s)
- Pallaprolu Nikhil
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Hajipur, Bihar, India
| | - Dande Aishwarya
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Hajipur, Bihar, India
| | - Sameer Dhingra
- Department of Pharmacy Practice, National Institute of Pharmaceutical Education and Research, Hajipur, Bihar, India
| | - Krishna Pandey
- Division of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences, Patna, Bihar, India
| | - V Ravichandiran
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Hajipur, Bihar, India
| | - Ramalingam Peraman
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Hajipur, Bihar, India
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7
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Chamrád I, Simerský R, Lenobel R, Novák O. Exploring affinity chromatography in proteomics: A comprehensive review. Anal Chim Acta 2024; 1306:342513. [PMID: 38692783 DOI: 10.1016/j.aca.2024.342513] [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: 12/12/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 05/03/2024]
Abstract
Over the past decades, the proteomics field has undergone rapid growth. Progress in mass spectrometry and bioinformatics, together with separation methods, has brought many innovative approaches to the study of the molecular biology of the cell. The potential of affinity chromatography was recognized immediately after its first application in proteomics, and since that time, it has become one of the cornerstones of many proteomic protocols. Indeed, this chromatographic technique exploiting the specific binding between two molecules has been employed for numerous purposes, from selective removal of interfering (over)abundant proteins or enrichment of scarce biomarkers in complex biological samples to mapping the post-translational modifications and protein interactions with other proteins, nucleic acids or biologically active small molecules. This review presents a comprehensive survey of this versatile analytical tool in current proteomics. To navigate the reader, the haphazard space of affinity separations is classified according to the experiment's aims and the separated molecule's nature. Different types of available ligands and experimental strategies are discussed in further detail for each of the mentioned procedures.
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Affiliation(s)
- Ivo Chamrád
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic.
| | - Radim Simerský
- Department of Chemical Biology, Faculty of Science, Palacký University, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
| | - René Lenobel
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
| | - Ondřej Novák
- Laboratory of Growth Regulators, Faculty of Science, Palacký University and Institute of Experimental Botany of the Czech Academy of Sciences, Šlechtitelů 241/27, CZ-77900, Olomouc, Holice, Czech Republic
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8
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Feng T, Jie M, Deng K, Yang J, Jiang H. Targeted plasma proteomic analysis uncovers a high-performance biomarker panel for early diagnosis of gastric cancer. Clin Chim Acta 2024; 558:119675. [PMID: 38631604 DOI: 10.1016/j.cca.2024.119675] [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: 12/28/2023] [Revised: 03/30/2024] [Accepted: 04/14/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Gastric cancer (GC) is characterized by high morbidity, high mortality and low early diagnosis rate. Early diagnosis plays a crucial role in radically treating GC. The aim of this study was to identify plasma biomarkers for GC and early GC diagnosis. METHODS We quantified 369 protein levels with plasma samples from discovery cohort (n = 88) and validation cohort (n = 50) via high-throughput proximity extension assay (PEA) utilizing the Olink-Explore-384-Cardiometabolic panel. The multi-protein signatures were derived from LASSO and Ridge regression models. RESULTS In the discovery cohort, 13 proteins (GDF15, ITIH3, BOC, DPP7, EGFR, AMY2A, CCDC80, CD163, GPNMB, LTBP2, CTSZ, CCL18 and NECTIN2) were identified to distinguish GC (Stage I-IV) and early GC (HGIN-I) groups from control group with AUC of 0.994 and AUC of 0.998, severally. The validation cohort yielded AUC of 0.930 and AUC of 0.818 for GC and early GC, respectively. CONCLUSIONS This study identified a multi-protein signature with the potential to benefit clinical GC diagnosis, especially for Asian and early GC patients, which may contribute to the development of a less-invasive, convenient, and efficient early screening tool, promoting early diagnosis and treatment of GC and ultimately improving patient survival.
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Affiliation(s)
- Tong Feng
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
| | - Minwen Jie
- Laboratory for Aging and Cancer Research, Frontiers Science Center Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Kai Deng
- Department of Gastroenterology & Hepatology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Jinlin Yang
- Department of Gastroenterology & Hepatology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
| | - Hao Jiang
- Laboratory for Aging and Cancer Research, Frontiers Science Center Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
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9
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Jahanban-Esfahlan A, Amarowicz R. Molecularly imprinted polymers for sensing/depleting human serum albumin (HSA): A critical review of recent advances and current challenges. Int J Biol Macromol 2024; 266:131132. [PMID: 38531529 DOI: 10.1016/j.ijbiomac.2024.131132] [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: 01/27/2024] [Revised: 03/22/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Human serum albumin (HSA) is an essential biomacromolecule in the blood circulatory system because it carries numerous molecules, including fatty acids (FAs), bilirubin, metal ions, hormones, and different pharmaceuticals, and plays a significant role in regulating blood osmotic pressure. Fluctuations in HSA levels in human biofluids, particularly urine and serum, are associated with several disorders, such as elevated blood pressure, diabetes mellitus (DM), liver dysfunction, and a wide range of renal diseases. Thus, the ability to quickly and accurately measure HSA levels is important for the rapid identification of these disorders in human populations. Molecularly imprinted polymers (MIPs), well known as artificial antibodies (Abs), have been extensively used for the quantitative detection of small molecules and macromolecules, especially HSA, in recent decades. This review highlights major challenges and recent developments in the application of MIPs to detect HSA in artificial and real samples. The fabrication and application of various MIPs for the depletion of HSA are also discussed, as well as different MIP preparation approaches and strategies for overcoming obstacles that hinder the development of MIPs with high efficiency and recognition capability for HSA determination/depletion.
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Affiliation(s)
- Ali Jahanban-Esfahlan
- Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz 5165665813, Iran.
| | - Ryszard Amarowicz
- Division of Food Sciences, Institute of Animal Reproduction and Food Research of the Polish Academy of Sciences, Street Tuwima 10, 10-748 Olsztyn, Poland.
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10
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Martín-García D, García-Aranda M, Redondo M. Biomarker Identification through Proteomics in Colorectal Cancer. Int J Mol Sci 2024; 25:2283. [PMID: 38396959 PMCID: PMC10888664 DOI: 10.3390/ijms25042283] [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: 01/26/2024] [Revised: 02/12/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Colorectal cancer (CRC) is a devastating disease that ranks third in diagnosis and as the second leading cause of cancer-related deaths. The early detection of CRC has been shown to be the most effective strategy to improve treatment outcomes and patient survival. Therefore, current lines of research focus on the development of reliable diagnostic tools. Targeted therapies, in combination with standard chemotherapy and immune checkpoint inhibitors, have emerged as promising treatment protocols in CRC. However, their effectiveness is linked to the molecular characteristics of each patient. The importance of discovering biomarkers that help predict response to therapies and assess prognosis is evident as they allow for a fundamental step towards personalized care and successful treatments. Among the ongoing efforts to identify them, mass spectrometry-based translational proteomics presents itself as a unique opportunity as it enables the discovery and application of protein biomarkers that may revolutionize the early detection and treatment of CRC. Our objective is to show the most recent studies focused on the identification of CRC-related protein markers, as well as to provide an updated view of advances in the field of proteomics and cancer.
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Affiliation(s)
- Desirée Martín-García
- Surgical Specialties, Biochemistry and Immunology Department, Faculty of Medicine, University of Málaga, 29010 Málaga, Spain;
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 29590 Málaga, Spain;
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina—IBIMA Plataforma BIONAND, 29590 Málaga, Spain
- Research and Innovation Unit, Hospital Universitario Costa del Sol, 29602 Marbella, Spain
| | - Marilina García-Aranda
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 29590 Málaga, Spain;
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina—IBIMA Plataforma BIONAND, 29590 Málaga, Spain
- Research and Innovation Unit, Hospital Universitario Costa del Sol, 29602 Marbella, Spain
| | - Maximino Redondo
- Surgical Specialties, Biochemistry and Immunology Department, Faculty of Medicine, University of Málaga, 29010 Málaga, Spain;
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), 29590 Málaga, Spain;
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina—IBIMA Plataforma BIONAND, 29590 Málaga, Spain
- Research and Innovation Unit, Hospital Universitario Costa del Sol, 29602 Marbella, Spain
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11
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G Jagadeeshaprasad M, Zeng J, Zheng N. LC-MS bioanalysis of protein biomarkers and protein therapeutics in formalin-fixed paraffin-embedded tissue specimens. Bioanalysis 2024; 16:245-258. [PMID: 38226835 DOI: 10.4155/bio-2023-0210] [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] [Indexed: 01/17/2024] Open
Abstract
Formalin-fixed paraffin-embedded (FFPE) is a form of preservation and preparation for biopsy specimens. FFPE tissue specimens are readily available as part of oncology studies because they are often collected for disease diagnosis or confirmation. FFPE tissue specimens could be extremely useful for retrospective studies on protein biomarkers because the samples preserved in FFPE blocks could be stable for decades. However, LC-MS bioanalysis of FFPE tissues poses significant challenges. In this Perspective, we review the benefits and recent developments in LC-MS approach for targeted protein biomarker and protein therapeutic analysis using FFPE tissues and their clinical and translational applications. We believe that LC-MS bioanalysis of protein biomarkers in FFPE tissue specimens represents a great potential for its clinical applications.
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Affiliation(s)
| | - Jianing Zeng
- Department of Protein Sciences & Mass Spectrometry, Translational Medicine, Bristol Myers Squibb, Princeton, NJ 08543, USA
| | - Naiyu Zheng
- Department of Protein Sciences & Mass Spectrometry, Translational Medicine, Bristol Myers Squibb, Princeton, NJ 08543, USA
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12
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Mendes MSM, Rosa ME, Coutinho JAP, Freire MG, E Silva FA. Improved accuracy in pentraxin-3 quantification assisted by aqueous biphasic systems as serum pretreatment strategies. Int J Biol Macromol 2023; 253:127540. [PMID: 37863128 DOI: 10.1016/j.ijbiomac.2023.127540] [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: 07/03/2023] [Revised: 10/15/2023] [Accepted: 10/17/2023] [Indexed: 10/22/2023]
Abstract
Although pentraxin-3 holds promise as a diagnosis/prognosis biomarker of microbial infections and lung cancer, its analysis in human serum can be constrained by matrix effects caused by high abundance proteins - human serum albumin and immunoglobulin G. Aqueous biphasic systems composed of polymers and citrate buffer are here proposed as a serum pretreatment step to improve the accuracy of pentraxin-3 analysis. Binodal curves were determined to identify the compositions required to form two phases and to correlate the polymers' properties and performance in serum pretreatment and biomarker extraction. Aqueous biphasic systems were evaluated regarding their ability to deplete human serum albumin and immunoglobulin G at the interphase. Polymers of relatively high to intermediate hydrophobicity were unveiled as efficient components to deplete high abundance serum proteins. Considering the possibility to extract pentraxin-3 from human serum into the polymer-rich phase, the system composed of polyethylene glycol with a molecular weight of 1000 g·mol-1 simultaneously achieved >93 % of human serum albumin and immunoglobulin G depletion and complete biomarker extraction. The accuracy of analysis of pretreated human serum by enzyme-linked immunosorbent assays outperformed that of a non-pretreated sample, with a relative error of 0.8 % compared to 14.6 %, contributing to boost pentraxin-3 usefulness as a biomarker.
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Affiliation(s)
- Maria S M Mendes
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Marguerita E Rosa
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - João A P Coutinho
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Mara G Freire
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
| | - Francisca A E Silva
- CICECO - Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
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13
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Song JG, Baral KC, Kim GL, Park JW, Seo SH, Kim DH, Jung DH, Ifekpolugo NL, Han HK. Quantitative analysis of therapeutic proteins in biological fluids: recent advancement in analytical techniques. Drug Deliv 2023; 30:2183816. [PMID: 36880122 PMCID: PMC10003146 DOI: 10.1080/10717544.2023.2183816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
Pharmaceutical application of therapeutic proteins has been continuously expanded for the treatment of various diseases. Efficient and reliable bioanalytical methods are essential to expedite the identification and successful clinical development of therapeutic proteins. In particular, selective quantitative assays in a high-throughput format are critical for the pharmacokinetic and pharmacodynamic evaluation of protein drugs and to meet the regulatory requirements for new drug approval. However, the inherent complexity of proteins and many interfering substances presented in biological matrices have a great impact on the specificity, sensitivity, accuracy, and robustness of analytical assays, thereby hindering the quantification of proteins. To overcome these issues, various protein assays and sample preparation methods are currently available in a medium- or high-throughput format. While there is no standard or universal approach suitable for all circumstances, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay often becomes a method of choice for the identification and quantitative analysis of therapeutic proteins in complex biological samples, owing to its high sensitivity, specificity, and throughput. Accordingly, its application as an essential analytical tool is continuously expanded in pharmaceutical R&D processes. Proper sample preparation is also important since clean samples can minimize the interference from co-existing substances and improve the specificity and sensitivity of LC-MS/MS assays. A combination of different methods can be utilized to improve bioanalytical performance and ensure more accurate quantification. This review provides an overview of various protein assays and sample preparation methods, with particular emphasis on quantitative protein analysis by LC-MS/MS.
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Affiliation(s)
- Jae Geun Song
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Kshitis Chandra Baral
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Gyu-Lin Kim
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Ji-Won Park
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Soo-Hwa Seo
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Da-Hyun Kim
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Dong Hoon Jung
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Nonye Linda Ifekpolugo
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
| | - Hyo-Kyung Han
- BK21 FOUR Team and Integrated Research Institute for Drug Development, College of Pharmacy, Dongguk University-Seoul, Goyang, Korea
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14
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Kline JT, Belford MW, Boeser CL, Huguet R, Fellers RT, Greer JB, Greer SM, Horn DM, Durbin KR, Dunyach JJ, Ahsan N, Fornelli L. Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms. J Proteome Res 2023; 22:3418-3426. [PMID: 37774690 PMCID: PMC10629265 DOI: 10.1021/acs.jproteome.3c00488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Indexed: 10/01/2023]
Abstract
Blood serum and plasma are arguably the most commonly analyzed clinical samples, with dozens of proteins serving as validated biomarkers for various human diseases. Top-down proteomics may provide additional insights into disease etiopathogenesis since this approach focuses on protein forms, or proteoforms, originally circulating in blood, potentially providing access to information about relevant post-translational modifications, truncations, single amino acid substitutions, and many other sources of protein variation. However, the vast majority of proteomic studies on serum and plasma are carried out using peptide-centric, bottom-up approaches that cannot recapitulate the original proteoform content of samples. Clinical laboratories have been slow to adopt top-down analysis, also due to higher sample handling requirements. In this study, we describe a straightforward protocol for intact proteoform sample preparation based on the depletion of albumin and immunoglobulins, followed by simplified protein fractionation via polyacrylamide gel electrophoresis. After molecular weight-based fractionation, we supplemented the traditional liquid chromatography-tandem mass spectrometry (LC-MS2) data acquisition with high-field asymmetric waveform ion mobility spectrometry (FAIMS) to further simplify serum proteoform mixtures. This LC-FAIMS-MS2 method led to the identification of over 1000 serum proteoforms < 30 kDa, outperforming traditional LC-MS2 data acquisition and more than doubling the number of proteoforms identified in previous studies.
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Affiliation(s)
- Jake T. Kline
- Department
of Biology, University of Oklahoma, Norman, Oklahoma 73019, United States
| | | | | | - Romain Huguet
- Thermo
Scientific, San Jose, California 95134, United States
| | - Ryan T. Fellers
- Proteinaceous,
Inc., Evanston, Illinois 60204, United
States
| | - Joseph B. Greer
- Proteinaceous,
Inc., Evanston, Illinois 60204, United
States
| | | | - David M. Horn
- Thermo
Scientific, San Jose, California 95134, United States
| | | | | | - Nagib Ahsan
- Department
of Chemistry and Biochemistry, University
of Oklahoma, Norman, Oklahoma 73019, United States
- Mass
Spectrometry, Proteomics and Metabolomics Core Facility, University of Oklahoma, Norman, Oklahoma 73019, United States
| | - Luca Fornelli
- Department
of Biology, University of Oklahoma, Norman, Oklahoma 73019, United States
- Department
of Chemistry and Biochemistry, University
of Oklahoma, Norman, Oklahoma 73019, United States
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15
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Dowling P, Swandulla D, Ohlendieck K. Mass Spectrometry-Based Proteomic Technology and Its Application to Study Skeletal Muscle Cell Biology. Cells 2023; 12:2560. [PMID: 37947638 PMCID: PMC10649384 DOI: 10.3390/cells12212560] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/27/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023] Open
Abstract
Voluntary striated muscles are characterized by a highly complex and dynamic proteome that efficiently adapts to changed physiological demands or alters considerably during pathophysiological dysfunction. The skeletal muscle proteome has been extensively studied in relation to myogenesis, fiber type specification, muscle transitions, the effects of physical exercise, disuse atrophy, neuromuscular disorders, muscle co-morbidities and sarcopenia of old age. Since muscle tissue accounts for approximately 40% of body mass in humans, alterations in the skeletal muscle proteome have considerable influence on whole-body physiology. This review outlines the main bioanalytical avenues taken in the proteomic characterization of skeletal muscle tissues, including top-down proteomics focusing on the characterization of intact proteoforms and their post-translational modifications, bottom-up proteomics, which is a peptide-centric method concerned with the large-scale detection of proteins in complex mixtures, and subproteomics that examines the protein composition of distinct subcellular fractions. Mass spectrometric studies over the last two decades have decisively improved our general cell biological understanding of protein diversity and the heterogeneous composition of individual myofibers in skeletal muscles. This detailed proteomic knowledge can now be integrated with findings from other omics-type methodologies to establish a systems biological view of skeletal muscle function.
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Affiliation(s)
- Paul Dowling
- Department of Biology, Maynooth University, National University of Ireland, W23 F2H6 Maynooth, Co. Kildare, Ireland;
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, W23 F2H6 Maynooth, Co. Kildare, Ireland
| | - Dieter Swandulla
- Institute of Physiology, Faculty of Medicine, University of Bonn, D53115 Bonn, Germany;
| | - Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, W23 F2H6 Maynooth, Co. Kildare, Ireland;
- Kathleen Lonsdale Institute for Human Health Research, Maynooth University, W23 F2H6 Maynooth, Co. Kildare, Ireland
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16
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Gautam SS, Singh SP. Immunopurification Reagents and Their Application in Biologics and Biomarker Quantitation Using LC-MS/MS in Drug Discovery. J Chromatogr Sci 2023; 61:799-805. [PMID: 36469494 DOI: 10.1093/chromsci/bmac096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Indexed: 10/01/2023]
Abstract
The LC-MS/MS technology is one of the most utilized bio-analytical tools owing to its advantage of selectivity, sensitivity and multitasking. The advent of novel biological therapies and increasing demand for protein biomarker identification and quantitation have put the LC-MS/MS technology at the forefront. The questions which are been posed to the LC-MS/MS scientist are complex. The complexity of the question increases further with the matrices in which these questions need to be answered. To bring down the complexity of the analysis, LC-MS/MS technology is utilizing the immunopurification (IP) technique as the new sample preparation technique. The IP reagents are the most common reagents which are used to decrease the matrices' complexity and allow the LC-MS/MS system to reach greater sensitivity. The utilization of these reagents is increasing every day, but the proper utilization of these reagents is still unknown to the common analyst in drug discovery. The present review throws light on the utilization aspect of these reagents, as we have classified these reagents on basis of their utilization, which will allow the readers to gain an understanding of these reagents. This review will also talk about the merits and the demerits of each approach and the current understanding of utilizing these reagents.
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Affiliation(s)
- Shashyendra Singh Gautam
- Toxicokinetics Laboratory/Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Lucknow 226001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 200102, India
- Biocon-Bristol-Myers Squibb Research Centre, Syngene International Ltd, Bangalore 560100, India
| | - Sheelendra Pratap Singh
- Toxicokinetics Laboratory/Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Lucknow 226001, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 200102, India
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17
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Dey AK, Banarjee R, Boroumand M, Rutherford DV, Strassheim Q, Nyunt T, Olinger B, Basisty N. Translating Senotherapeutic Interventions into the Clinic with Emerging Proteomic Technologies. BIOLOGY 2023; 12:1301. [PMID: 37887011 PMCID: PMC10604147 DOI: 10.3390/biology12101301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023]
Abstract
Cellular senescence is a state of irreversible growth arrest with profound phenotypic changes, including the senescence-associated secretory phenotype (SASP). Senescent cell accumulation contributes to aging and many pathologies including chronic inflammation, type 2 diabetes, cancer, and neurodegeneration. Targeted removal of senescent cells in preclinical models promotes health and longevity, suggesting that the selective elimination of senescent cells is a promising therapeutic approach for mitigating a myriad of age-related pathologies in humans. However, moving senescence-targeting drugs (senotherapeutics) into the clinic will require therapeutic targets and biomarkers, fueled by an improved understanding of the complex and dynamic biology of senescent cell populations and their molecular profiles, as well as the mechanisms underlying the emergence and maintenance of senescence cells and the SASP. Advances in mass spectrometry-based proteomic technologies and workflows have the potential to address these needs. Here, we review the state of translational senescence research and how proteomic approaches have added to our knowledge of senescence biology to date. Further, we lay out a roadmap from fundamental biological discovery to the clinical translation of senotherapeutic approaches through the development and application of emerging proteomic technologies, including targeted and untargeted proteomic approaches, bottom-up and top-down methods, stability proteomics, and surfaceomics. These technologies are integral for probing the cellular composition and dynamics of senescent cells and, ultimately, the development of senotype-specific biomarkers and senotherapeutics (senolytics and senomorphics). This review aims to highlight emerging areas and applications of proteomics that will aid in exploring new senescent cell biology and the future translation of senotherapeutics.
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Affiliation(s)
| | | | | | | | | | | | | | - Nathan Basisty
- Translational Geroproteomics Unit, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA; (A.K.D.); (R.B.); (M.B.); (D.V.R.); (Q.S.); (T.N.); (B.O.)
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18
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Sharma N, Pandey S, Yadav M, Mathew B, Bindal V, Sharma N, Tripathi G, Bhat SH, Gupta A, Maiwall R, Sharma S, Sarin SK, Maras JS. Biomolecular map of albumin identifies signatures of severity and early mortality in acute liver failure. J Hepatol 2023; 79:677-691. [PMID: 37116716 DOI: 10.1016/j.jhep.2023.04.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/24/2023] [Accepted: 04/10/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND & AIMS Acute liver failure (ALF) is associated with high mortality. Alterations in albumin structure and function have been shown to correlate with outcomes in cirrhosis. We undertook a biomolecular analysis of albumin to determine its correlation with hepatocellular injury and early mortality in ALF. METHODS Altogether, 225 participants (200 patients with ALF and 25 healthy controls [HC]) were enrolled. Albumin was purified from the baseline plasma of the training cohort (ALF, n = 40; survivors, n = 8; non-survivors, n = 32; and HC, n = 5); analysed for modifications, functionality, and bound multi-omics signatures; and validated in a test cohort (ALF, n = 160; survivors, n = 53; non-survivors, n = 107; and HC, n = 20). RESULTS In patients with ALF, albumin is more oxidised and glycosylated with a distinct multi-omics profile than that in HC, more so in non-survivors (p <0.05). In non-survivors, albumin was more often bound (p <0.05, false discovery rate <0.01) to proteins associated with inflammation, advanced glycation end product, metabolites linked to arginine, proline metabolism, bile acid, and mitochondrial breakdown products. Increased bacterial taxa (Listeria, Clostridium, etc.) correlated with lipids (triglycerides [4:0/12:0/12:0] and phosphatidylserine [39:0]) and metabolites (porphobilinogen and nicotinic acid) in non-survivors (r2 >0.7). Multi-omics signature-based probability of detection for non-survival was >90% and showed direct correlation with albumin functionality and clinical parameters (r2 >0.85). Probability-of-detection metabolites built on the top five metabolites, namely, nicotinic acid, l-acetyl carnitine, l-carnitine, pregnenolone sulfate, and N-(3-hydroxybutanoyl)-l-homoserine lactone, showed diagnostic accuracy of 98% (AUC 0.98, 95% CI 0.95-1.0) and distinguish patients with ALF predisposed to early mortality (log-rank <0.05). On validation using high-resolution mass spectrometry and five machine learning algorithms in test cohort 1 (plasma and paired one-drop blood), the metabolome panel showed >92% accuracy/sensitivity and specificity for prediction of mortality. CONCLUSIONS In ALF, albumin is hyperoxidised and substantially dysfunctional. Our study outlines distinct 'albuminome' signatures capable of distinguishing patients with ALF predisposed to early mortality or requiring emergency liver transplantation. IMPACTS AND IMPLICATIONS Here, we report that the biomolecular map of albumin is distinct and linked to severity and outcome in patients with acute liver failure (ALF). Detailed structural, functional, and albumin-omics analysis in patients with ALF led to the identification and classification of albumin-bound biomolecules, which could segregate patients with ALF predisposed to early mortality. More importantly, we found albumin-bound metabolites indicative of mitochondrial damage and hyperinflammation as a putative indicator of <30-day mortality in patients with ALF. This preclinical study validates the utility of albuminome analysis for understanding the pathophysiology and development of poor outcome indicators in patients with ALF.
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Affiliation(s)
- Neha Sharma
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Sushmita Pandey
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Manisha Yadav
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Babu Mathew
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Vasundhra Bindal
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Nupur Sharma
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Gaurav Tripathi
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Sadam H Bhat
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Abhishak Gupta
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Rakhi Maiwall
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Shvetank Sharma
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India
| | - Shiv Kumar Sarin
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
| | - Jaswinder Singh Maras
- Departments of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi, India.
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19
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Chhuon C, Herrera-Marcos LV, Zhang SY, Charrière-Bertrand C, Jung V, Lipecka J, Savas B, Nasser N, Pawlak A, Boulmerka H, Audard V, Sahali D, Guerrera IC, Ollero M. Proteomics of Plasma and Plasma-Treated Podocytes: Application to Focal and Segmental Glomerulosclerosis. Int J Mol Sci 2023; 24:12124. [PMID: 37569500 PMCID: PMC10418338 DOI: 10.3390/ijms241512124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/21/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Focal and segmental glomerulosclerosis (FSGS) is a severe form of idiopathic nephrotic syndrome (INS), a glomerulopathy of presumably immune origin that is attributed to extrarenal pathogenic circulating factors. The recurrence of FSGS (rFSGS) after transplant occurs in 30% to 50% of cases. The direct analysis of patient plasma proteome has scarcely been addressed to date, mainly due to the methodological difficulties associated with plasma complexity and dynamic range. In this study, first, we compared different methods of plasma preparation, second, we compared the plasma proteomes of rFSGS and controls using two preparation methods, and third, we analyzed the early proximal signaling events in podocytes subjected to patient plasma, through a combination of phosphoproteomics and lipid-raft proteomics (raftomics). By combining immunodepletion and high pH fractionation, we performed a differential proteomic analysis of soluble plasma proteins and of extracellular vesicles (EV) obtained from healthy controls, non-INS patient controls, and rFSGS patients (n = 4). In both the soluble- and the EV-protein sets from the rFSGS patients, we found a statistically significant increase in a cluster of proteins involved in neutrophil degranulation. A group of lipid-binding proteins, generally associated with lipoproteins, was found to be decreased in the soluble set from the rFSGS patients. In addition, three amino acid transporters involved in mTORC1 activation were found to be significantly increased in the EV from the rFSGS. Next, we incubated human podocytes for 30 min with 10% plasma from both groups of patients. The phosphoproteomics and raftomics of the podocytes revealed profound differences in the proteins involved in the mTOR pathway, in autophagy, and in cytoskeleton organization. We analyzed the correlation between the abundance of plasma and plasma-regulated podocyte proteins. The observed changes highlight some of the mechanisms involved in FSGS recurrence and could be used as specific early markers of circulating-factor activity in podocytes.
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Affiliation(s)
- Cerina Chhuon
- Proteomic Platform Necker, Université Paris Cité Structure Fédérative de Recherche SFR Necker US24, 75015 Paris, France; (C.C.); (V.J.); (J.L.)
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Luis Vicente Herrera-Marcos
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Shao-Yu Zhang
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Cécile Charrière-Bertrand
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Vincent Jung
- Proteomic Platform Necker, Université Paris Cité Structure Fédérative de Recherche SFR Necker US24, 75015 Paris, France; (C.C.); (V.J.); (J.L.)
| | - Joanna Lipecka
- Proteomic Platform Necker, Université Paris Cité Structure Fédérative de Recherche SFR Necker US24, 75015 Paris, France; (C.C.); (V.J.); (J.L.)
| | - Berkan Savas
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Nour Nasser
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - André Pawlak
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Hocine Boulmerka
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
| | - Vincent Audard
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
- AP-HP, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie, F-94010 Creteil, France
| | - Dil Sahali
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
- AP-HP, Hôpitaux Universitaires Henri Mondor, Service de Néphrologie, F-94010 Creteil, France
| | - Ida Chiara Guerrera
- Proteomic Platform Necker, Université Paris Cité Structure Fédérative de Recherche SFR Necker US24, 75015 Paris, France; (C.C.); (V.J.); (J.L.)
| | - Mario Ollero
- Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France; (L.V.H.-M.); (S.-Y.Z.); (C.C.-B.); (B.S.); (N.N.); (A.P.); (H.B.); (V.A.); (D.S.)
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20
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di Flora DC, Dionizio A, Pereira HABS, Garbieri TF, Grizzo LT, Dionisio TJ, Leite ADL, Silva-Costa LC, Buzalaf NR, Reis FN, Pereira VBR, Rosa DMC, Dos Santos CF, Buzalaf MAR. Analysis of Plasma Proteins Involved in Inflammation, Immune Response/Complement System, and Blood Coagulation upon Admission of COVID-19 Patients to Hospital May Help to Predict the Prognosis of the Disease. Cells 2023; 12:1601. [PMID: 37371071 DOI: 10.3390/cells12121601] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
The development of new approaches allowing for the early assessment of COVID-19 cases that are likely to become critical and the discovery of new therapeutic targets are urgently required. In this prospective cohort study, we performed proteomic and laboratory profiling of plasma from 163 COVID-19 patients admitted to Bauru State Hospital (Brazil) between 4 May 2020 and 4 July 2020. Plasma samples were collected upon admission for routine laboratory analyses and shotgun quantitative label-free proteomics. Based on the course of the disease, the patients were divided into three groups: (a) mild (n = 76) and (b) severe (n = 56) symptoms, whose patients were discharged without or with admission to an intensive care unit (ICU), respectively, and (c) critical (n = 31), a group consisting of patients who died after admission to an ICU. Based on our data, potential therapies for COVID-19 should target proteins involved in inflammation, the immune response and complement system, and blood coagulation. Other proteins that could potentially be employed in therapies against COVID-19 but that so far have not been associated with the disease are CD5L, VDBP, A1BG, C4BPA, PGLYRP2, SERPINC1, and APOH. Targeting these proteins' pathways might constitute potential new therapies or biomarkers of prognosis of the disease.
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Affiliation(s)
- Daniele Castro di Flora
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
- Therapy and Diagnosis Unit, Bauru State Hospital, Bauru 17033-360, Brazil
| | - Aline Dionizio
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | | | - Thais Francini Garbieri
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | - Larissa Tercilia Grizzo
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | - Thiago José Dionisio
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | - Aline de Lima Leite
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - Licia C Silva-Costa
- Laboratory of Neuroproteomics, Institute of Biology, Department of Biochemistry and Tissue Biology, University of Campinas, Campinas 13083-862, Brazil
| | - Nathalia Rabelo Buzalaf
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | - Fernanda Navas Reis
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
| | | | | | - Carlos Ferreira Dos Santos
- Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil
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21
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Bader JM, Albrecht V, Mann M. MS-based proteomics of body fluids: The end of the beginning. Mol Cell Proteomics 2023:100577. [PMID: 37209816 PMCID: PMC10388585 DOI: 10.1016/j.mcpro.2023.100577] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/07/2023] [Accepted: 05/11/2023] [Indexed: 05/22/2023] Open
Abstract
Accurate biomarkers are a crucial and necessary precondition for precision medicine, yet existing ones are often unspecific and new ones have been very slow to enter the clinic. Mass spectrometry (MS)-based proteomics excels by its untargeted nature, specificity of identification and quantification making it an ideal technology for biomarker discovery and routine measurement. It has unique attributes compared to affinity binder technologies, such as OLINK Proximity Extension Assay and SOMAscan. In a previous review we described technological and conceptual limitations that had held back success (Geyer et al., 2017). We proposed a 'rectangular strategy' to better separate true biomarkers by minimizing cohort-specific effects. Today, this has converged with advances in MS-based proteomics technology, such as increased sample throughput, depth of identification and quantification. As a result, biomarker discovery studies have become more successful, producing biomarker candidates that withstand independent verification and, in some cases, already outperform state-of-the-art clinical assays. We summarize developments over the last years, including the benefits of large and independent cohorts, which are necessary for clinical acceptance. They are also required for machine learning or deep learning. Shorter gradients, new scan modes and multiplexing are about to drastically increase throughput, cross-study integration, and quantification, including proxies for absolute levels. We have found that multi-protein panels are inherently more robust than current single analyte tests and better capture the complexity of human phenotypes. Routine MS measurement in the clinic is fast becoming a viable option. The full set of proteins in a body fluid (global proteome) is the most important reference and the best process control. Additionally, it increasingly has all the information that could be obtained from targeted analysis although the latter may be the most straightforward way to enter into regular use. Many challenges remain, not least of a regulatory and ethical nature, but the outlook for MS-based clinical applications has never been brighter.
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Affiliation(s)
- Jakob M Bader
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Vincent Albrecht
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
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22
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Woo J, Zhang Q. A Streamlined High-Throughput Plasma Proteomics Platform for Clinical Proteomics with Improved Proteome Coverage, Reproducibility, and Robustness. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:754-762. [PMID: 36975161 PMCID: PMC10080683 DOI: 10.1021/jasms.3c00022] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/16/2023] [Accepted: 03/20/2023] [Indexed: 06/18/2023]
Abstract
Mass spectrometry-based clinical proteomics requires high throughput, reproducibility, robustness, and comprehensive coverage to serve the needs of clinical diagnosis, prognosis, and personalized medicine. Oftentimes these requirements are contradictory to each other. We report the development of a streamlined High-Throughput Plasma Proteomics (sHTPP) platform for untargeted profiling of the blood plasma proteome, which includes 96-well plates and simplified procedures for sample preparation, disposable trap column for peptide loading, robust liquid chromatographic system for separation, data-independent acquisition in tandem mass spectrometry, and DIA-NN, FragPipe, and in-house peptide spectral library-based data analysis. Using the optimized platform at a throughput of 60 samples per day, over 600 protein groups including 57 FDA-approved biomarkers can be consistently identified from whole human plasma, and more than 85% of the detected proteins have 100% completeness in quantitative values across 300 samples. The balance achieved between proteome coverage, throughput, and reproducibility of this sHTPP platform makes it promising in clinical settings, where a large number of samples are to be measured quickly and reliably to support various needs of clinical medicine.
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Affiliation(s)
- Jongmin Woo
- Center
for Translational Biomedical Research, University
of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, North Carolina 28081, United States
| | - Qibin Zhang
- Center
for Translational Biomedical Research, University
of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, North Carolina 28081, United States
- Department
of Chemistry & Biochemistry, University
of North Carolina at Greensboro, Greensboro, North Carolina 27402, United States
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23
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Jalaludin I, Lubman DM, Kim J. A guide to mass spectrometric analysis of extracellular vesicle proteins for biomarker discovery. MASS SPECTROMETRY REVIEWS 2023; 42:844-872. [PMID: 34747512 DOI: 10.1002/mas.21749] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/21/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Exosomes (small extracellular vesicles) in living organisms play an important role in processes such as cell proliferation or intercellular communication. Recently, exosomes have been extensively investigated for biomarker discoveries for various diseases. An important aspect of exosome analysis involves the development of enrichment methods that have been introduced for successful isolation of exosomes. These methods include ultracentrifugation, size exclusion chromatography, polyethylene glycol-based precipitation, immunoaffinity-based enrichment, ultrafiltration, and asymmetric flow field-flow fractionation among others. To confirm the presence of exosomes, various characterization methods have been utilized such as Western blot analysis, atomic force microscopy, electron microscopy, optical methods, zeta potential, visual inspection, and mass spectrometry. Recent advances in high-resolution separations, high-performance mass spectrometry and comprehensive proteome databases have all contributed to the successful analysis of exosomes from patient samples. Herein we review various exosome enrichment methods, characterization methods, and recent trends of exosome investigations using mass spectrometry-based approaches for biomarker discovery.
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Affiliation(s)
- Iqbal Jalaludin
- Department of Chemistry, Chungnam National University, Daejeon, Republic of Korea
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, USA
| | - Jeongkwon Kim
- Department of Chemistry, Chungnam National University, Daejeon, Republic of Korea
- Graduate School of New Drug Discovery and Development, Chungnam National University, Daejeon, Republic of Korea
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24
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Li C, Xiao J, Wu S, Liu L, Zeng X, Zhao Q, Zhang Z. Clinical application of serum-based proteomics technology in human tumor research. Anal Biochem 2023; 663:115031. [PMID: 36580994 DOI: 10.1016/j.ab.2022.115031] [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: 10/28/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
The rapid development of proteomics technology in the past decades has led to further human understanding of tumor research, and in some ways, the technology plays a very important supporting role in the early detection of tumors. Human serum has been shown to contain a variety of proteins closely related to life activities, and the dynamic change in proteins can often reflect the physiological and pathological conditions of the body. Serum has the advantage of easy extraction, so the application of proteomics technology in serum has become a hot spot and frontier area for the study of malignant tumors. However, there are still many difficulties in the standardized use of proteomic technologies, which inevitably limit the clinical application of proteomic technologies due to the heterogeneity of human proteins leading to incomplete whole proteome populations, in addition to most serum protein markers being now not highly specific in aiding the early detection of tumors. Nevertheless, further development of proteomics technologies will greatly increase our understanding of tumor biology and help discover more new tumor biomarkers with specificity that will enable medical technology.
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Affiliation(s)
- Chen Li
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Juan Xiao
- Department of Otorhinolaryngology, The Second Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Shihua Wu
- Department of Pathology, The Second Hospital of Shaoyang College, Hunan, Shaoyang, 422000, Hunan Province, China
| | - Lu Liu
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China
| | - Xuemei Zeng
- Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China
| | - Qiang Zhao
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China.
| | - Zhiwei Zhang
- Department of Pathology, The First Affiliated Hospital of University of South China, Hunan, Hengyang, 421001, Hunan Province, China; Cancer Research Institute of Hengyang Medical College, University of South China, Key Laboratory of Cancer Cellular and Molecular Pathology in Hunan Province, Hunan, Hengyang, 421001, China.
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25
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Adil O, Shamsi MH. Electrochemical Impedance Immunoassay for ALS-Associated Neurofilament Protein: Matrix Effect on the Immunoplatform. BIOSENSORS 2023; 13:247. [PMID: 36832013 PMCID: PMC9954657 DOI: 10.3390/bios13020247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disorder, which has complex diagnostic steps. Electrochemical immunoassays may make the diagnosis simpler and faster. Here, we present the detection of ALS-associated neurofilament light chain (Nf-L) protein through an electrochemical impedance immunoassay on reduced graphene oxide (rGO) screen-printed electrodes. The immunoassay was developed in two different media, i.e., buffer and human serum, to compare the effect of the media on their figures of merit and calibration models. The label-free charge transfer resistance (RCT) of the immunoplatform was used as a signal response to develop the calibration models. We found that exposure of the biorecognition layer to human serum improved the impedance response of the biorecognition element with significantly lower relative error. Moreover, the calibration model obtained in the human serum environment has higher sensitivity and a better limit of detection (0.087 ng/mL) than the buffer medium (0.39 ng/mL). The analyses of the ALS patient samples show that concentrations obtained from the buffer-based regression model was higher than the serum-based model. However, a high Pearson correlation (r = 1.00) between the media suggests that concentration in one medium may be useful to predict the concentration in the other medium. Moreover, the Nf-L concentration appears to increase with age in both male and female groups, while overall higher Nf-L was found in the male group than the female group.
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26
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Lindgaard SC, Sztupinszki Z, Maag E, Hansen CP, Chen IM, Johansen AZ, Hasselby JP, Bojesen SE, Nielsen D, Johansen JS. Prognostic value of circulating proteins in patients undergoing surgery for pancreatic cancer. Cancer Med 2023; 12:3972-3986. [PMID: 36250429 PMCID: PMC9972037 DOI: 10.1002/cam4.5240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/26/2022] [Accepted: 09/01/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Pancreatic ductal adenocarcinoma (PDAC) is the fourth leading cause of cancer death. Less than 20% of patients are diagnosed with resectable disease. Identifying truly resectable disease is challenging because 20%-40% of the patients subjected to resection are found to have advanced disease during surgery. The aim of our study was to identify panels of circulating proteins that could be used to distinguish patients with unresectable PDAC from patients with resectable PDAC and to identify prognostic signatures for both groups. METHODS We measured 92 circulating immuno-oncology-related proteins using the proximity extension assay from Olink Proteomics in 273 patients eligible for surgery for PDAC. Two bioinformaticians worked independently of one another on the same data. LASSO and Ridge regression were used in the statistical analyses. RESULTS One protein index for determining resectability had an AUC value of 0.66. Several indices for prognosis had AUC values between 0.50 and 0.75 and were therefore not better than existing prognostic markers. DISCUSSION Our study did not reveal any new high-performing protein panels that could be used to identify patients with inoperable PDAC before surgery. The panel of 92 proteins investigated has previously been found to be applicable for diagnostic use in patients with PDAC, but it does not seem to warrant further investigation regarding resectability in the subgroup of patients with PDAC referred to surgery.
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Affiliation(s)
- Sidsel C Lindgaard
- Department of Oncology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | | | | | - Carsten P Hansen
- Department of Surgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Inna M Chen
- Department of Oncology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Astrid Z Johansen
- Department of Oncology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark
| | - Jane P Hasselby
- Department of Pathology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dorte Nielsen
- Department of Oncology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Julia S Johansen
- Department of Oncology, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Medicine, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
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27
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Tomazini KA, Pereira BAS, Sylvestre TF, Cavalcante RDS, de Carvalho LR, Mendes RP. Reproducibility of double agar gel immunodiffusion test using stored serum and plasma from paracoccidioidomycosis patients. J Venom Anim Toxins Incl Trop Dis 2023; 29:e20220045. [PMID: 36660367 PMCID: PMC9842191 DOI: 10.1590/1678-9199-jvatitd-2022-0045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/15/2022] [Indexed: 01/18/2023] Open
Abstract
Background Serological evaluation performed by double agar gel immunodiffusion test (DID) is used for diagnosis, evaluation of severity, management of paracoccidioidomycosis patients, and development of new clinical studies. For these reasons, the Botucatu Medical School of UNESP maintains a serum bank at the Experimental Research Unit with patient clinical data. This study aimed to evaluate the influence of the freeze-thaw cycle and different blood matrices on the titration of circulating antibodies. Methods The study included 207 patients with confirmed (etiology-demonstrated) or probable (serology-demonstrated) paracoccidioidomycosis, and DID was performed with culture filtrate from Paracoccidioides brasiliensis B339 as antigen. First experiment: the antibody levels were determined in serum samples from 160 patients with the chronic form and 20 with the acute/subacute form, stored at -80oC for more than six months. Second experiment: titers of 81 samples of serum and plasma with ethylenediaminetetraacetic acid (EDTA) or heparin, from 27 patients, were compared according to matrix and effect of storage at -20oC for up to six months. Differences of titers higher than one dilution were considered discordant. Results First experiment: test and retest presented concordant results in serum stored for up to three years, and discordant titers in low incidence in storage for four to six years but high incidence when stored for more than six years, including conversion from reagent test to non-reagent retest. Second experiment: serum, plasma-EDTA and plasma-heparin samples showed concordant titers, presenting direct correlation, with no interference of storage for up to six months. Conclusions Storage at -80oC for up to six years has no or little influence on the serum titers determined by DID, permitting its safe use in studies depending on this parameter. The concordant titrations in different blood matrices demonstrated that the plasma can be used for immunodiffusion test in paracoccidioidomycosis, with stability for at least six months after storage at -20oC.
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Affiliation(s)
- Karina Andressa Tomazini
- Department of Infectology, Dermatology, Diagnostic Imaging and Radiotherapy, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu, SP, Brazil.,Correspondence:
| | - Beatriz Aparecida Soares Pereira
- Department of Infectology, Dermatology, Diagnostic Imaging and Radiotherapy, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu, SP, Brazil
| | | | - Ricardo de Souza Cavalcante
- Department of Infectology, Dermatology, Diagnostic Imaging and Radiotherapy, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu, SP, Brazil
| | - Lídia Raquel de Carvalho
- Department of Biodiversity and Biostatistics, Institute of Biosciences, São Paulo State University (UNESP), Botucatu, SP, Brazil
| | - Rinaldo Poncio Mendes
- Department of Infectology, Dermatology, Diagnostic Imaging and Radiotherapy, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu, SP, Brazil
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28
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Obi EN, Tellock DA, Thomas GJ, Veenstra TD. Biomarker Analysis of Formalin-Fixed Paraffin-Embedded Clinical Tissues Using Proteomics. Biomolecules 2023; 13:biom13010096. [PMID: 36671481 PMCID: PMC9855471 DOI: 10.3390/biom13010096] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/06/2023] Open
Abstract
The relatively recent developments in mass spectrometry (MS) have provided novel opportunities for this technology to impact modern medicine. One of those opportunities is in biomarker discovery and diagnostics. Key developments in sample preparation have enabled a greater range of clinical samples to be characterized at a deeper level using MS. While most of these developments have focused on blood, tissues have also been an important resource. Fresh tissues, however, are difficult to obtain for research purposes and require significant resources for long-term storage. There are millions of archived formalin-fixed paraffin-embedded (FFPE) tissues within pathology departments worldwide representing every possible tissue type including tumors that are rare or very small. Owing to the chemical technique used to preserve FFPE tissues, they were considered intractable to many newer proteomics techniques and primarily only useful for immunohistochemistry. In the past couple of decades, however, researchers have been able to develop methods to extract proteins from FFPE tissues in a form making them analyzable using state-of-the-art technologies such as MS and protein arrays. This review will discuss the history of these developments and provide examples of how they are currently being used to identify biomarkers and diagnose diseases such as cancer.
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29
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Espejo C, Lyons B, Woods GM, Wilson R. Early Cancer Biomarker Discovery Using DIA-MS Proteomic Analysis of EVs from Peripheral Blood. Methods Mol Biol 2023; 2628:127-152. [PMID: 36781783 DOI: 10.1007/978-1-0716-2978-9_9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
One of the cornerstones of effective cancer treatment is early diagnosis. In this context, the identification of proteins that can serve as cancer biomarkers in bodily fluids ("liquid biopsies") has gained attention over the last decade. Plasma and serum fractions of blood are the most commonly investigated sources of potential cancer liquid biopsy biomarkers. However, the high complexity and dynamic range typical of these fluids hinders the sensitivity of protein detection by the most commonly used mass spectrometry technology (data-dependent acquisition mass spectrometry (DDA-MS)). Recently, data-independent acquisition mass spectrometry (DIA-MS) techniques have overcome the limitations of DDA-MS, increasing sensitivity and proteome coverage. In addition to DIA-MS, isolating extracellular vesicles (EVs) can help to increase the depth of serum/plasma proteome coverage by improving the identification of low-abundance proteins which are a potential treasure trove of diagnostic molecules. EVs, the nano-sized membrane-enclosed vesicles present in most bodily fluids, contain proteins which may serve as potential biomarkers for various cancers. Here, we describe a detailed protocol that combines DIA-MS and EV methodologies for discovering and validating early cancer biomarkers using blood serum. The pipeline includes size exclusion chromatography methods to isolate serum-derived extracellular vesicles and subsequent EV sample preparation for liquid chromatography and mass spectrometry analysis. Procedures for spectral library generation by DDA-MS incorporate methods for off-line peptide separation by microflow HPLC with automated fraction concatenation. Analysis of the samples by DIA-MS includes recommended protocols for data processing and statistical methods. This pipeline will provide a guide to discovering and validating EV-associated proteins that can serve as sensitive and specific biomarkers for early cancer detection and other diseases.
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Affiliation(s)
- Camila Espejo
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Bruce Lyons
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Gregory M Woods
- Tasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Richard Wilson
- Central Science Laboratory, University of Tasmania, Hobart, TAS, Australia.
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30
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Zhou Y, Sun R, Li S, Liang X, Qian L, Yue L, Guo T. High-Throughput and In-Depth Proteomic Profiling of 5 μL Plasma and Serum Using TMTpro 16-Plex. Methods Mol Biol 2023; 2628:81-92. [PMID: 36781780 DOI: 10.1007/978-1-0716-2978-9_6] [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] [Indexed: 04/25/2023]
Abstract
High-throughput and in-depth proteomic analysis of plasma and serum samples remains challenging due to the presence of multiple high-abundance proteins. Here, we provide a detailed protocol for proteomic analysis of serum and plasma specimens using a high-abundance protein depletion kit and TMTpro 16-plex reagents. This method requires only 5 μL serum or plasma, identifying and quantifying about 1000 proteins. A batch of 16 samples can be processed in 36 h. On average, each sample consumes about 1.5 h of mass spectrometer instrument time. Overall, our method can identify proteins across six orders of magnitude with high reproducibility (CV < 20%) using a shorter instrument time and less sample volume compared to existing methods. Thus, the method is suitable to be applied to large-scale proteomic studies.
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Affiliation(s)
- Yan Zhou
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Rui Sun
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Sainan Li
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Xiao Liang
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Liujia Qian
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Liang Yue
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Tiannan Guo
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China.
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O'Sullivan EM, Dowling P, Swandulla D, Ohlendieck K. Proteomic Identification of Saliva Proteins as Noninvasive Diagnostic Biomarkers. Methods Mol Biol 2023; 2596:147-167. [PMID: 36378438 DOI: 10.1007/978-1-0716-2831-7_12] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Many biomedically relevant biomarkers are proteins with characteristic biochemical properties and a relatively restricted subcellular distribution. The comparative and mass spectrometry-based proteomic analysis of body fluids can be particularly instrumental for the targeted identification of novel protein biomarkers with pathological relevance. In this respect, new research efforts in biomarker discovery focus on the systematic mapping of the human saliva proteome, as well as the pathobiochemical identification of disease-related modifications or concentration changes in specific saliva proteins. As a product of exocrine secretion, saliva can be considered an ideal source for the biochemical identification of new disease indicators. Importantly, saliva represents a body fluid that is continuously available for diagnostic and prognostic assessments. This chapter gives an overview of saliva proteomics, including a discussion of the usefulness of both liquid chromatography and two-dimensional gel electrophoresis for efficient protein separation in saliva proteomics.
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Affiliation(s)
| | - Paul Dowling
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland
| | | | - Kay Ohlendieck
- Department of Biology, Maynooth University, National University of Ireland, Maynooth, Co. Kildare, Ireland.
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32
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Chen Z, Xiong Y, Ma R, Chen P, Duan L, Yang S, Gisèle IU, You L, Xiao D. A novel magnetic fluid for ultra-fast and highly efficient extraction of N1-methylnicotinamide in urine samples. NEW J CHEM 2023. [DOI: 10.1039/d3nj00488k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Among the three pre-treatment materials, Fe3O4@HPMC@DMSA NPs were selected to be the best material and were used to perform MSPE-HPLC-UV.
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Affiliation(s)
- Zhuhui Chen
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Yue Xiong
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Ranran Ma
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Pei Chen
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Le Duan
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Shuying Yang
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Ineza Urujeni Gisèle
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Linjun You
- Center for New Drug Safety Evaluation and Research, China Pharmaceutical University, 24 Tongjia Lane, Nanjing 210009, China
| | - Deli Xiao
- Department of Analytical Chemistry, China Pharmaceutical University, Nanjing 210009, China
- Key Laboratory of Drug Quality Control and Pharmacovigilance (China Pharmaceutical University), Ministry of Education, 24 Tongjia Lane, Nanjing 210009, China
- Key Laboratory of Biomedical Functional Materials, China Pharmaceutical University, Nanjing 210009, China
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33
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A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers. J Pharm Anal 2022; 12:879-888. [PMID: 36605576 PMCID: PMC9805947 DOI: 10.1016/j.jpha.2022.07.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 06/19/2022] [Accepted: 07/12/2022] [Indexed: 01/09/2023] Open
Abstract
The composition of serum is extremely complex, which complicates the discovery of new pharmacodynamic biomarkers via serum proteome for disease prediction and diagnosis. Recently, nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum. Here, we synthesized a silica-coated iron oxide nanoparticle and developed a highly efficient and reproducible protein corona (PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis. We identified 1,070 proteins with a median coefficient of variation of 12.56% using PC-based proteomic analysis, which was twice the number of proteins identified by direct digestion. There were also more biological processes enriched with these proteins. We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis (CIA) rat model treated with methotrexate (MTX). The bioinformatic results indicated that 485 differentially expressed proteins (DEPs) were found in CIA rats, of which 323 DEPs recovered to near normal levels after treatment with MTX. This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies, but also provide more pharmacodynamic biomarkers for disease prediction, diagnosis, and treatment.
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34
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Ashkarran AA, Gharibi H, Voke E, Landry MP, Saei AA, Mahmoudi M. Measurements of heterogeneity in proteomics analysis of the nanoparticle protein corona across core facilities. Nat Commun 2022; 13:6610. [PMID: 36329043 PMCID: PMC9633814 DOI: 10.1038/s41467-022-34438-8] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
Robust characterization of the protein corona-the layer of proteins that spontaneously forms on the surface of nanoparticles immersed in biological fluids-is vital for prediction of the safety, biodistribution, and diagnostic/therapeutic efficacy of nanomedicines. Protein corona identity and abundance characterization is entirely dependent on liquid chromatography coupled to mass spectroscopy (LC-MS/MS), though the variability of this technique for the purpose of protein corona characterization remains poorly understood. Here we investigate the variability of LC-MS/MS workflows in analysis of identical aliquots of protein coronas by sending them to different proteomics core-facilities and analyzing the retrieved datasets. While the shared data between the cores correlate well, there is considerable heterogeneity in the data retrieved from different cores. Specifically, out of 4022 identified unique proteins, only 73 (1.8%) are shared across the core facilities providing semiquantitative analysis. These findings suggest that protein corona datasets cannot be easily compared across independent studies and more broadly compromise the interpretation of protein corona research, with implications in biomarker discovery as well as the safety and efficacy of our nanoscale biotechnologies.
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Affiliation(s)
- Ali Akbar Ashkarran
- grid.17088.360000 0001 2150 1785Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI USA
| | - Hassan Gharibi
- grid.4714.60000 0004 1937 0626Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Elizabeth Voke
- grid.47840.3f0000 0001 2181 7878Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA USA
| | - Markita P. Landry
- grid.47840.3f0000 0001 2181 7878Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA USA ,grid.510960.b0000 0004 7798 3869Innovative Genomics Institute, Berkeley, CA USA ,grid.47840.3f0000 0001 2181 7878California Institute for Quantitative Biosciences, University of California, Berkeley, Berkeley, CA USA ,grid.499295.a0000 0004 9234 0175Chan Zuckerberg Biohub, San Francisco, CA USA
| | - Amir Ata Saei
- grid.4714.60000 0004 1937 0626Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden ,grid.38142.3c000000041936754XDepartment of Cell Biology, Harvard Medical School, Boston, MA USA ,grid.6612.30000 0004 1937 0642Present Address: Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Morteza Mahmoudi
- grid.17088.360000 0001 2150 1785Department of Radiology and Precision Health Program, Michigan State University, East Lansing, MI USA
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35
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King CD, Kapp KL, Arul AB, Choi MJ, Robinson RAS. Advancements in automation for plasma proteomics sample preparation. Mol Omics 2022; 18:828-839. [PMID: 36048090 PMCID: PMC9879274 DOI: 10.1039/d2mo00122e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Automation is necessary to increase sample processing throughput for large-scale clinical analyses. Replacement of manual pipettes with robotic liquid handler systems is especially helpful in processing blood-based samples, such as plasma and serum. These samples are very heterogenous, and protein expression can vary greatly from sample-to-sample, even for healthy controls. Detection of true biological changes requires that variation from sample preparation steps and downstream analytical detection methods, such as mass spectrometry, remains low. In this mini-review, we discuss plasma proteomics protocols and the benefits of automation towards enabling detection of low abundant proteins and providing low sample error and increased sample throughput. This discussion includes considerations for automation of major sample depletion and/or enrichment strategies for plasma toward mass spectrometry detection.
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Affiliation(s)
- Christina D King
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Kathryn L Kapp
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee 37232, USA
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36
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Raghunathan R, Turajane K, Wong LC. Biomarkers in Neurodegenerative Diseases: Proteomics Spotlight on ALS and Parkinson’s Disease. Int J Mol Sci 2022; 23:ijms23169299. [PMID: 36012563 PMCID: PMC9409485 DOI: 10.3390/ijms23169299] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/13/2022] [Accepted: 08/14/2022] [Indexed: 11/21/2022] Open
Abstract
Neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD) are both characterized by pathogenic protein aggregates that correlate with the progressive degeneration of neurons and the loss of behavioral functions. Both diseases lack biomarkers for diagnosis and treatment efficacy. Proteomics is an unbiased quantitative tool capable of the high throughput quantitation of thousands of proteins from minimal sample volumes. We review recent proteomic studies in human tissues, plasma, cerebrospinal fluid (CSF), and exosomes in ALS and PD that identify proteins with potential utility as biomarkers. Further, we review disease-related post-translational modifications in key proteins TDP43 in ALS and α-synuclein in PD studies, which may serve as biomarkers. We compare relative and absolute quantitative proteomic approaches in key biomarker studies in ALS and PD and discuss recent technological advancements which may identify suitable biomarkers for the early-diagnosis treatment efficacy of these diseases.
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37
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Abbineni PS, Tang VT, da Veiga Leprevost F, Basrur V, Xiang J, Nesvizhskii AI, Ginsburg D. Identification of secreted proteins by comparison of protein abundance in conditioned media and cell lysates. Anal Biochem 2022; 655:114846. [PMID: 35973625 DOI: 10.1016/j.ab.2022.114846] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/31/2022] [Accepted: 08/02/2022] [Indexed: 11/01/2022]
Abstract
Analysis of the full spectrum of secreted proteins in cell culture is complicated by leakage of intracellular proteins from damaged cells. To address this issue, we compared the abundance of individual proteins between the cell lysate and the conditioned medium, reasoning that secreted proteins should be relatively more abundant in the conditioned medium. Marked enrichment for signal-peptide-bearing proteins with increasing conditioned media to cell lysate ratio, as well loss of this signal following brefeldin A treatment, confirmed the sensitivity and specificity of this approach. The subset of proteins demonstrating increased conditioned media to cell lysate ratio in the presence of Brefeldin A identified candidates for unconventional secretion via a pathway independent of ER to Golgi trafficking.
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Affiliation(s)
| | - Vi T Tang
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Jie Xiang
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - David Ginsburg
- Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA.
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38
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Kuşat K, Bağlamış S, Kuru Cİ, Ulucan F, Uygun M, Akgöl S. p(HEMA)-RR241 hydrogel membranes with micron network for IgG depletion in proteomic studies. JOURNAL OF BIOMATERIALS SCIENCE. POLYMER EDITION 2022; 33:1181-1197. [PMID: 35192441 DOI: 10.1080/09205063.2022.2045666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 02/12/2022] [Accepted: 02/20/2022] [Indexed: 06/14/2023]
Abstract
Serum proteins can generally be considered a good source for the illness' indication and are precious resources to detect diseases such as inflammation, cancer, diabetes, malnutrition, cardiovascular diseases, Alzheimer's, other autoimmune diseases, and infections. However, one of the biggest difficulties for proteomic studies is that the majority of serum protein mass consists of only a few proteins. Albumin and Immunoglobulin (IgG) constitute 80% of total serum protein. In this study, dye ligand affinity-based hydrogel membranes were proposed as new materials with micron mesh structures. Micron mesh p(HEMA) hydrogel membranes were synthesized by using the UV-photopolymerization method, then modified with Reactive Red 241 (RR241) dye ligand to increase the affinity towards IgG. Characterizations of synthesized micron mesh p(HEMA)-RR241 hydrogel membranes were also performed. It was demonstrated by the characterization studies that; the dye was successfully incorporated into the membrane structure with the amount of 119.38 mg/g. The hydrophilic property of the hydrogel membrane was demonstrated by swelling tests and the swelling value of dye modified membrane was found to be 8 times higher than that of the plain membrane. Micron network structure, as well as the porosity, were demonstrated with SEM/ESEM studies. Optimization of IgG adsorption conditions was also studied at different parameters (pH, temperature, ion strength, initial IgG concentration). Optimum pH, temperature, and ionic strength were found to be 6.5, 25 °C, 0.05 M, respectively, and the maximum IgG absorption value was 10.27 mg/g. Finally, it was shown that the proposed materials can be used repeatedly by 5 adsorption-desorption cycles.
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Affiliation(s)
- Kevser Kuşat
- Chemistry Department, Faculty of Science, Dokuz Eylül University, Izmir, Turkey
| | - Selami Bağlamış
- Biochemistry Department, Faculty of Science, Ege University, Izmir, Turkey
| | - Cansu İlke Kuru
- Biochemistry Department, Faculty of Science, Ege University, Izmir, Turkey
| | - Fulden Ulucan
- Biochemistry Department, Faculty of Science, Ege University, Izmir, Turkey
| | - Murat Uygun
- Chemistry Department, Faculty of Science and Arts, Adnan Menderes University, Aydın, Turkey
| | - Sinan Akgöl
- Biochemistry Department, Faculty of Science, Ege University, Izmir, Turkey
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39
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Tognetti M, Sklodowski K, Müller S, Kamber D, Muntel J, Bruderer R, Reiter L. Biomarker Candidates for Tumors Identified from Deep-Profiled Plasma Stem Predominantly from the Low Abundant Area. J Proteome Res 2022; 21:1718-1735. [PMID: 35605973 PMCID: PMC9251764 DOI: 10.1021/acs.jproteome.2c00122] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
![]()
The plasma proteome
has the potential to enable a holistic analysis
of the health state of an individual. However, plasma biomarker discovery
is difficult due to its high dynamic range and variability. Here,
we present a novel automated analytical approach for deep plasma profiling
and applied it to a 180-sample cohort of human plasma from lung, breast,
colorectal, pancreatic, and prostate cancers. Using a controlled quantitative
experiment, we demonstrate a 257% increase in protein identification
and a 263% increase in significantly differentially abundant proteins
over neat plasma. In the cohort, we identified 2732 proteins. Using
machine learning, we discovered biomarker candidates such as STAT3
in colorectal cancer and developed models that classify the diseased
state. For pancreatic cancer, a separation by stage was achieved.
Importantly, biomarker candidates came predominantly from the low
abundance region, demonstrating the necessity to deeply profile because
they would have been missed by shallow profiling.
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Affiliation(s)
| | | | | | | | - Jan Muntel
- Biognosys, Schlieren, Zurich 8952, Switzerland
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40
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Adduri RSR, Vasireddy R, Mroz MM, Bhakta A, Li Y, Chen Z, Miller JW, Velasco-Alzate KY, Gopalakrishnan V, Maier LA, Li L, Konduru NV. Realistic biomarkers from plasma extracellular vesicles for detection of beryllium exposure. Int Arch Occup Environ Health 2022; 95:1785-1796. [PMID: 35551477 PMCID: PMC9489591 DOI: 10.1007/s00420-022-01871-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 04/14/2022] [Indexed: 11/25/2022]
Abstract
Purpose Exposures related to beryllium (Be) are an enduring concern among workers in the nuclear weapons and other high-tech industries, calling for regular and rigorous biological monitoring. Conventional biomonitoring of Be in urine is not informative of cumulative exposure nor health outcomes. Biomarkers of exposure to Be based on non-invasive biomonitoring could help refine disease risk assessment. In a cohort of workers with Be exposure, we employed blood plasma extracellular vesicles (EVs) to discover novel biomarkers of exposure to Be. Methods EVs were isolated from plasma using size-exclusion chromatography and subjected to mass spectrometry-based proteomics. A protein-based classifier was developed using LASSO regression and validated by ELISA. Results We discovered a dual biomarker signature comprising zymogen granule protein 16B and putative protein FAM10A4 that differentiated between Be-exposed and -unexposed subjects. ELISA-based quantification of the biomarkers in an independent cohort of samples confirmed higher expression of the signature in the Be-exposed group, displaying high predictive accuracy (AUROC = 0.919). Furthermore, the biomarkers efficiently discriminated high- and low-exposure groups (AUROC = 0.749). Conclusions This is the first report of EV biomarkers associated with Be exposure and exposure levels. The biomarkers could be implemented in resource-limited settings for Be exposure assessment. Supplementary Information The online version contains supplementary material available at 10.1007/s00420-022-01871-7.
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Affiliation(s)
- Raju S R Adduri
- Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, TX75708, USA
| | - Ravikiran Vasireddy
- Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, TX75708, USA
| | - Margaret M Mroz
- Department of Medicine, National Jewish Health, Denver, CO, USA
| | - Anisha Bhakta
- Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, TX75708, USA
| | - Yang Li
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Zhe Chen
- Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeffrey W Miller
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Karen Y Velasco-Alzate
- Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, TX75708, USA
| | - Vanathi Gopalakrishnan
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lisa A Maier
- Department of Medicine, National Jewish Health, Denver, CO, USA
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Denver, CO, USA
| | - Li Li
- Department of Medicine, National Jewish Health, Denver, CO, USA
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Denver, CO, USA
| | - Nagarjun V Konduru
- Department of Cellular and Molecular Biology, University of Texas Health Science Center at Tyler, Tyler, TX, TX75708, USA.
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41
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Rodrigues JE, Martinho A, Santa C, Madeira N, Coroa M, Santos V, Martins MJ, Pato CN, Macedo A, Manadas B. Systematic Review and Meta-Analysis of Mass Spectrometry Proteomics Applied to Human Peripheral Fluids to Assess Potential Biomarkers of Schizophrenia. Int J Mol Sci 2022; 23:ijms23094917. [PMID: 35563307 PMCID: PMC9105255 DOI: 10.3390/ijms23094917] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 01/27/2023] Open
Abstract
Mass spectrometry (MS)-based techniques can be a powerful tool to identify neuropsychiatric disorder biomarkers, improving prediction and diagnosis ability. Here, we evaluate the efficacy of MS proteomics applied to human peripheral fluids of schizophrenia (SCZ) patients to identify disease biomarkers and relevant networks of biological pathways. Following PRISMA guidelines, a search was performed for studies that used MS proteomics approaches to identify proteomic differences between SCZ patients and healthy control groups (PROSPERO database: CRD42021274183). Nineteen articles fulfilled the inclusion criteria, allowing the identification of 217 differentially expressed proteins. Gene ontology analysis identified lipid metabolism, complement and coagulation cascades, and immune response as the main enriched biological pathways. Meta-analysis results suggest the upregulation of FCN3 and downregulation of APO1, APOA2, APOC1, and APOC3 in SCZ patients. Despite the proven ability of MS proteomics to characterize SCZ, several confounding factors contribute to the heterogeneity of the findings. In the future, we encourage the scientific community to perform studies with more extensive sampling and validation cohorts, integrating omics with bioinformatics tools to provide additional comprehension of differentially expressed proteins. The produced information could harbor potential proteomic biomarkers of SCZ, contributing to individualized prognosis and stratification strategies, besides aiding in the differential diagnosis.
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Affiliation(s)
- João E. Rodrigues
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; (J.E.R.); (A.M.); (C.S.); (M.J.M.)
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
| | - Ana Martinho
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; (J.E.R.); (A.M.); (C.S.); (M.J.M.)
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
| | - Catia Santa
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; (J.E.R.); (A.M.); (C.S.); (M.J.M.)
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
| | - Nuno Madeira
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal;
- Psychiatry Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
- CIBIT—Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Manuel Coroa
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal;
- Psychiatry Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Vítor Santos
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal;
- Psychiatry Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Maria J. Martins
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; (J.E.R.); (A.M.); (C.S.); (M.J.M.)
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
- Medical Services, University of Coimbra, 3004-517 Coimbra, Portugal
| | - Carlos N. Pato
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA;
| | - Antonio Macedo
- Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal;
- Psychiatry Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
- CIBIT—Coimbra Institute for Biomedical Imaging and Translational Research, University of Coimbra, 3000-548 Coimbra, Portugal
- Correspondence: (A.M.); (B.M.)
| | - Bruno Manadas
- CNC—Center for Neuroscience and Cell Biology, University of Coimbra, 3004-504 Coimbra, Portugal; (J.E.R.); (A.M.); (C.S.); (M.J.M.)
- CIBB—Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-504 Coimbra, Portugal; (M.C.); (V.S.)
- III Institute for Interdisciplinary Research, University of Coimbra (IIIUC), 3030-789 Coimbra, Portugal
- Correspondence: (A.M.); (B.M.)
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42
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Ravuri HG, Noor Z, Mills PC, Satake N, Sadowski P. Data-Independent Acquisition Enables Robust Quantification of 400 Proteins in Non-Depleted Canine Plasma. Proteomes 2022; 10:9. [PMID: 35324581 PMCID: PMC8953371 DOI: 10.3390/proteomes10010009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/25/2022] [Accepted: 02/22/2022] [Indexed: 12/30/2022] Open
Abstract
Mass spectrometry-based plasma proteomics offers a major advance for biomarker discovery in the veterinary field, which has traditionally been limited to quantification of a small number of proteins using biochemical assays. The development of foundational data and tools related to sequential window acquisition of all theoretical mass spectra (SWATH)-mass spectrometry has allowed for quantitative profiling of a significant number of plasma proteins in humans and several animal species. Enabling SWATH in dogs enhances human biomedical research as a model species, and significantly improves diagnostic and disease monitoring capability. In this study, a comprehensive peptide spectral library specific to canine plasma proteome was developed and evaluated using SWATH for protein quantification in non-depleted dog plasma. Specifically, plasma samples were subjected to various orthogonal fractionation and digestion techniques, and peptide fragmentation data corresponding to over 420 proteins was collected. Subsequently, a SWATH-based assay was introduced that leveraged the developed resource and that enabled reproducible quantification of 400 proteins in non-depleted plasma samples corresponding to various disease conditions. The ability to profile the abundance of such a significant number of plasma proteins using a single method in dogs has the potential to accelerate biomarker discovery studies in this species.
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Affiliation(s)
- Halley Gora Ravuri
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Zainab Noor
- ProCan, Children’s Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia;
| | - Paul C. Mills
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Nana Satake
- School of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia; (H.G.R.); (P.C.M.)
| | - Pawel Sadowski
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD 4000, Australia
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Farshbaf M, Valizadeh H, Panahi Y, Fatahi Y, Chen M, Zarebkohan A, Gao H. The impact of protein corona on the biological behavior of targeting nanomedicines. Int J Pharm 2022; 614:121458. [PMID: 35017025 DOI: 10.1016/j.ijpharm.2022.121458] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 12/27/2021] [Accepted: 01/05/2022] [Indexed: 12/17/2022]
Abstract
For successful translation of targeting nanomedicines from bench to bedside, it is vital to address their most common drawbacks namely rapid clearance and off-target accumulation. These complications evidently originate from a phenomenon called "protein corona (PC) formation" around the surface of targeting nanoparticles (NPs) which happens once they encounter the bloodstream and interact with plasma proteins with high collision frequency. This phenomenon endows the targeting nanomedicines with a different biological behavior followed by an unexpected fate, which is usually very different from what we commonly observe in vitro. In addition to the inherent physiochemical properties of NPs, the targeting ligands could also remarkably dictate the amount and type of adsorbed PC. As very limited studies have focused their attention on this particular factor, the present review is tasked to discuss the best simulated environment and latest characterization techniques applied to PC analysis. The effect of PC on the biological behavior of targeting NPs engineered with different targeting moieties is further discussed. Ultimately, the recent progresses in manipulation of nano-bio interfaces to achieve the most favorite therapeutic outcome are highlighted.
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Affiliation(s)
- Masoud Farshbaf
- Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hadi Valizadeh
- Department of Pharmaceutics, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Yunes Panahi
- Pharmacotherapy Department, Faculty of Pharmacy, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Yousef Fatahi
- Nanotechnology Research Centre, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Meiwan Chen
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China
| | - Amir Zarebkohan
- Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Huile Gao
- Key Laboratory of Drug Targeting and Drug Delivery Systems, West China School of Pharmacy, Sichuan University, Sichuan 610041, China.
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Khuong HL, Chen CH, Lin JL, Le TN, Pham TH, Le TBT, Nguyen XC, Phan VC, Chu HH, Hsiao WWW, Nguyen TMP, Pham DM. Nanodiamond Solid-Phase Extraction and Triton X-114 Cloud Point Separation for Robust Fractionation and Shotgun Proteomics Analysis of the Human Serum Proteome. J Proteome Res 2021; 21:67-76. [PMID: 34928606 DOI: 10.1021/acs.jproteome.1c00510] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Human serum is one of the most attractive specimens in biomarker research. However, its overcomplicated properties have hindered the analysis of low-abundance proteins by conventional mass spectrometry techniques. This work proposes an innovative strategy for utilizing nanodiamonds (NDs) in combination with Triton X-114 protein extraction to fractionate the crude serum to six pH-tuned fractions, simplifying the overall proteome and facilitating protein profiling with high efficiency. A total of 663 proteins are identified and evenly distributed among the fractions along with 39 FDA-approved biomarkers─a remarkable increase from the 230 proteins found in unfractionated crude serum. In the low-abundance protein section, 88 proteins with 7 FDA-approved biomarkers are detected─a marked increase from the 15 proteins (2 biomarkers) observed in the untreated sample. Notably, fractions at pH 11, derived from the aqueous phase of detergent separation, suggest potential applications in rapid and robust serum proteome analysis. Notably, by outlining the excellent properties of NDs for proteomic research, this work suggests a promising extraction protocol utilizing the great compatibility of NDs with streamlined serum proteomics and identifies potential avenues for future developments. Finally, we believe that this work not just improves shotgun proteomics but also opens up studies on the interaction between NDs and the human proteome. Data are available via ProteomeXchange with the identifier PXD029710.
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Affiliation(s)
- Hai Lam Khuong
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Chein-Hung Chen
- Genomic Research Center, Academia Sinica, Nankang, Taipei 115, Taiwan
| | - Jung-Lee Lin
- Genomic Research Center, Academia Sinica, Nankang, Taipei 115, Taiwan
| | - Trong-Nghia Le
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
| | - Thi Hue Pham
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Thi Bich Thao Le
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Xuan Canh Nguyen
- Faculty of Biotechnology, Vietnam National University of Agriculture, Gia Lam, Hanoi 100000, Vietnam
| | - Van Chi Phan
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Hoang Ha Chu
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Wesley Wei-Wen Hsiao
- Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan
| | - Thi Minh Phuong Nguyen
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
| | - Dinh Minh Pham
- Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi 100000, Vietnam
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Almeida N, Rodriguez J, Pla Parada I, Perez-Riverol Y, Woldmar N, Kim Y, Oskolas H, Betancourt L, Valdés JG, Sahlin KB, Pizzatti L, Szasz AM, Kárpáti S, Appelqvist R, Malm J, B. Domont G, C. S. Nogueira F, Marko-Varga G, Sanchez A. Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database. Cancers (Basel) 2021; 13:6224. [PMID: 34944842 PMCID: PMC8699267 DOI: 10.3390/cancers13246224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/30/2021] [Accepted: 12/08/2021] [Indexed: 12/26/2022] Open
Abstract
Plasma analysis by mass spectrometry-based proteomics remains a challenge due to its large dynamic range of 10 orders in magnitude. We created a methodology for protein identification known as Wise MS Transfer (WiMT). Melanoma plasma samples from biobank archives were directly analyzed using simple sample preparation. WiMT is based on MS1 features between several MS runs together with custom protein databases for ID generation. This entails a multi-level dynamic protein database with different immunodepletion strategies by applying single-shot proteomics. The highest number of melanoma plasma proteins from undepleted and unfractionated plasma was reported, mapping >1200 proteins from >10,000 protein sequences with confirmed significance scoring. Of these, more than 660 proteins were annotated by WiMT from the resulting ~5800 protein sequences. We could verify 4000 proteins by MS1t analysis from HeLA extracts. The WiMT platform provided an output in which 12 previously well-known candidate markers were identified. We also identified low-abundant proteins with functions related to (i) cell signaling, (ii) immune system regulators, and (iii) proteins regulating folding, sorting, and degradation, as well as (iv) vesicular transport proteins. WiMT holds the potential for use in large-scale screening studies with simple sample preparation, and can lead to the discovery of novel proteins with key melanoma disease functions.
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Affiliation(s)
- Natália Almeida
- Laboratory of Proteomics/LADETEC, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil;
- Proteomics Unit, Institute of Chemistry, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil;
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC D13, 22184 Lund, Sweden; (N.W.); (K.B.S.); (G.M.-V.)
| | - Jimmy Rodriguez
- Division of Chemistry I, Department of Biochemistry and Biophysics, Karolinska Institute, 17165 Stockholm, Sweden;
| | - Indira Pla Parada
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 20502 Malmö, Sweden; (I.P.P.); (J.M.)
| | - Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK;
| | - Nicole Woldmar
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC D13, 22184 Lund, Sweden; (N.W.); (K.B.S.); (G.M.-V.)
- Laboratory of Molecular Biology and Blood Proteomics—LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil;
| | - Yonghyo Kim
- Data Convergence Drug Research Center, Therapeutics and Biotechnology Division, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Korea;
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, 22185 Lund, Sweden; (H.O.); (L.B.); (J.G.V.); (R.A.)
| | - Henriett Oskolas
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, 22185 Lund, Sweden; (H.O.); (L.B.); (J.G.V.); (R.A.)
| | - Lazaro Betancourt
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, 22185 Lund, Sweden; (H.O.); (L.B.); (J.G.V.); (R.A.)
| | - Jeovanis Gil Valdés
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, 22185 Lund, Sweden; (H.O.); (L.B.); (J.G.V.); (R.A.)
| | - K. Barbara Sahlin
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC D13, 22184 Lund, Sweden; (N.W.); (K.B.S.); (G.M.-V.)
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 20502 Malmö, Sweden; (I.P.P.); (J.M.)
| | - Luciana Pizzatti
- Laboratory of Molecular Biology and Blood Proteomics—LADETEC, Institute of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro 21941-598, Brazil;
| | | | - Sarolta Kárpáti
- Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, 1085 Budapest, Hungary;
| | - Roger Appelqvist
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, 22185 Lund, Sweden; (H.O.); (L.B.); (J.G.V.); (R.A.)
| | - Johan Malm
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 20502 Malmö, Sweden; (I.P.P.); (J.M.)
| | - Gilberto B. Domont
- Proteomics Unit, Institute of Chemistry, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil;
| | - Fábio C. S. Nogueira
- Laboratory of Proteomics/LADETEC, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-598, Brazil;
- Proteomics Unit, Institute of Chemistry, Universidade Federal Do Rio de Janeiro, Rio de Janeiro 21941-909, Brazil;
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC D13, 22184 Lund, Sweden; (N.W.); (K.B.S.); (G.M.-V.)
- Chemical Genomics Global Research Lab, Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea
- Department of Surgery, Tokyo Medical University, 6-7-1 Nishishinjiku Shinjiku-ku, Tokyo 160-0023, Japan
| | - Aniel Sanchez
- Section for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 20502 Malmö, Sweden; (I.P.P.); (J.M.)
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Qi F, Tan Y, Yao A, Yang X, He Y. Psoriasis to Psoriatic Arthritis: The Application of Proteomics Technologies. Front Med (Lausanne) 2021; 8:681172. [PMID: 34869404 PMCID: PMC8635007 DOI: 10.3389/fmed.2021.681172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Psoriatic disease (PsD) is a spectrum of diseases that affect both skin [cutaneous psoriasis (PsC)] and musculoskeletal features [psoriatic arthritis (PsA)]. A considerable number of patients with PsC have asymptomatic synovio-entheseal inflammations, and approximately one-third of those eventually progress to PsA with an enigmatic mechanism. Published studies have shown that early interventions to the very early-stage PsA would effectively prevent substantial bone destructions or deformities, suggesting an unmet goal for exploring early PsA biomarkers. The emergence of proteomics technologies brings a complete view of all involved proteins in PsA transitions, offers a unique chance to map all potential peptides, and allows a direct head-to-head comparison of interaction pathways in PsC and PsA. This review summarized the latest development of proteomics technologies, highlighted its application in PsA biomarker discovery, and discussed the possible clinical detectable PsA risk factors in patients with PsC.
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Affiliation(s)
- Fei Qi
- Department of Dermatology, Capital Medical University Affiliated Beijing Chaoyang Hospital, Beijing, China
| | - Yaqi Tan
- Department of Dermatology, Capital Medical University Affiliated Beijing Chaoyang Hospital, Beijing, China
| | - Amin Yao
- Department of Dermatology, Capital Medical University Affiliated Beijing Chaoyang Hospital, Beijing, China
| | - Xutong Yang
- Department of Dermatology, Capital Medical University Affiliated Beijing Chaoyang Hospital, Beijing, China
| | - Yanling He
- Department of Dermatology, Capital Medical University Affiliated Beijing Chaoyang Hospital, Beijing, China
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47
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Miao H, Chen S, Ding R. Evaluation of the Molecular Mechanisms of Sepsis Using Proteomics. Front Immunol 2021; 12:733537. [PMID: 34745104 PMCID: PMC8566982 DOI: 10.3389/fimmu.2021.733537] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/08/2021] [Indexed: 12/12/2022] Open
Abstract
Sepsis is a complex syndrome promoted by pathogenic and host factors; it is characterized by dysregulated host responses and multiple organ dysfunction, which can lead to death. However, its underlying molecular mechanisms remain unknown. Proteomics, as a biotechnology research area in the post-genomic era, paves the way for large-scale protein characterization. With the rapid development of proteomics technology, various approaches can be used to monitor proteome changes and identify differentially expressed proteins in sepsis, which may help to understand the pathophysiological process of sepsis. Although previous reports have summarized proteomics-related data on the diagnosis of sepsis and sepsis-related biomarkers, the present review aims to comprehensively summarize the available literature concerning “sepsis”, “proteomics”, “cecal ligation and puncture”, “lipopolysaccharide”, and “post-translational modifications” in relation to proteomics research to provide novel insights into the molecular mechanisms of sepsis.
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Affiliation(s)
- He Miao
- Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, China
| | - Song Chen
- Department of Trauma Intensive Care Unit, The First Affiliated Hospital of Hainan Medical University, Haikou, China.,Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou, China
| | - Renyu Ding
- Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, China
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Boschetti E, Zilberstein G, Righetti PG. Combinatorial peptides: A library that continuously probes low-abundance proteins. Electrophoresis 2021; 43:355-369. [PMID: 34498305 DOI: 10.1002/elps.202100131] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 07/31/2021] [Accepted: 08/24/2021] [Indexed: 12/12/2022]
Abstract
After a decade of experimental applications, it is the objective of this review to make a point on combinatorial peptide ligand libraries dedicated to low-abundance proteins from animals to plants and to microorganism proteomics. It is, thus, at the light of the recent technical developments and applications that we will examine the state of the art, its usage within the scientific community, and its openness to unexplored fields. The improvements of the methodology and its implementation in connection with analytical determinations of combinatorial peptide ligand library (CPLL)-treated samples are extensively reviewed and commented upon. Relevant examples covering few critical aspects describe the performance of the technology. Finally, a reflection on the technological future is attempted in particular by involving new concepts adapted to the limited availability of certain biological samples.
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Affiliation(s)
| | | | - Pier Giorgio Righetti
- Department of Chemistry Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Milan, Italy
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49
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Dunphy K, O’Mahoney K, Dowling P, O’Gorman P, Bazou D. Clinical Proteomics of Biofluids in Haematological Malignancies. Int J Mol Sci 2021; 22:ijms22158021. [PMID: 34360786 PMCID: PMC8348619 DOI: 10.3390/ijms22158021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 07/23/2021] [Accepted: 07/23/2021] [Indexed: 12/25/2022] Open
Abstract
Since the emergence of high-throughput proteomic techniques and advances in clinical technologies, there has been a steady rise in the number of cancer-associated diagnostic, prognostic, and predictive biomarkers being identified and translated into clinical use. The characterisation of biofluids has become a core objective for many proteomic researchers in order to detect disease-associated protein biomarkers in a minimally invasive manner. The proteomes of biofluids, including serum, saliva, cerebrospinal fluid, and urine, are highly dynamic with protein abundance fluctuating depending on the physiological and/or pathophysiological context. Improvements in mass-spectrometric technologies have facilitated the in-depth characterisation of biofluid proteomes which are now considered hosts of a wide array of clinically relevant biomarkers. Promising efforts are being made in the field of biomarker diagnostics for haematologic malignancies. Several serum and urine-based biomarkers such as free light chains, β-microglobulin, and lactate dehydrogenase are quantified as part of the clinical assessment of haematological malignancies. However, novel, minimally invasive proteomic markers are required to aid diagnosis and prognosis and to monitor therapeutic response and minimal residual disease. This review focuses on biofluids as a promising source of proteomic biomarkers in haematologic malignancies and a key component of future diagnostic, prognostic, and disease-monitoring applications.
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Affiliation(s)
- Katie Dunphy
- Department of Biology, National University of Ireland, W23 F2K8 Maynooth, Ireland; (K.D.); (P.D.)
| | - Kelly O’Mahoney
- Department of Haematology, Mater Misericordiae University Hospital, D07 WKW8 Dublin, Ireland; (K.O.); (P.O.)
| | - Paul Dowling
- Department of Biology, National University of Ireland, W23 F2K8 Maynooth, Ireland; (K.D.); (P.D.)
| | - Peter O’Gorman
- Department of Haematology, Mater Misericordiae University Hospital, D07 WKW8 Dublin, Ireland; (K.O.); (P.O.)
| | - Despina Bazou
- Department of Haematology, Mater Misericordiae University Hospital, D07 WKW8 Dublin, Ireland; (K.O.); (P.O.)
- Correspondence:
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50
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Using Omics Approaches in the Discovery of Biomarkers for Early Diagnosis of Johne's Disease in Sheep and Goats. Animals (Basel) 2021; 11:ani11071912. [PMID: 34199073 PMCID: PMC8300312 DOI: 10.3390/ani11071912] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/18/2021] [Accepted: 06/23/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Johne’s disease (JD) is caused by Mycobacterium avium subsp. paratuberculosis (MAP) and is an important and emerging problem in livestock. Most JD research has been carried out on cattle, but interest in the pathogenesis and diagnosis of this disease in sheep and goats is greatest in developing countries. Sheep and goats are also a relevant part of livestock production in Europe and Australia, and these species provide an excellent resource to study and better understand the mechanism of survival of MAP and gain insights into possible approaches to control this disease. This review gives an overview of the literature on paratuberculosis in sheep and goats, highlighting the immunological aspects and the potential for “omics” approaches to identify effective biomarkers for the early detection of infection. Abstract Johne’s disease (JD) is caused by Mycobacterium avium subsp. paratuberculosis (MAP) and is an important and emerging problem in livestock; therefore, its control and prevention is a priority to reduce economic losses and health risks. Most JD research has been carried out on cattle, but interest in the pathogenesis and diagnosis of this disease in sheep and goats is greatest in developing countries. Sheep and goats are also a relevant part of livestock production in Europe and Australia, and these species provide an excellent resource to study and better understand the mechanism of survival of MAP and gain insights into possible approaches to control this disease. This review gives an overview of the literature on paratuberculosis in sheep and goats, highlighting the immunological aspects and the potential for “omics” approaches to identify effective biomarkers for the early detection of infection. As JD has a long incubation period before the disease becomes evident, early diagnosis is important to control the spread of the disease.
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