1
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Wang HY, Lin WY, Zhou C, Yang ZA, Kalpana S, Lebowitz MS. Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review. Cancers (Basel) 2024; 16:862. [PMID: 38473224 DOI: 10.3390/cancers16050862] [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: 12/31/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024] Open
Abstract
The concept and policies of multicancer early detection (MCED) have gained significant attention from governments worldwide in recent years. In the era of burgeoning artificial intelligence (AI) technology, the integration of MCED with AI has become a prevailing trend, giving rise to a plethora of MCED AI products. However, due to the heterogeneity of both the detection targets and the AI technologies, the overall diversity of MCED AI products remains considerable. The types of detection targets encompass protein biomarkers, cell-free DNA, or combinations of these biomarkers. In the development of AI models, different model training approaches are employed, including datasets of case-control studies or real-world cancer screening datasets. Various validation techniques, such as cross-validation, location-wise validation, and time-wise validation, are used. All of the factors show significant impacts on the predictive efficacy of MCED AIs. After the completion of AI model development, deploying the MCED AIs in clinical practice presents numerous challenges, including presenting the predictive reports, identifying the potential locations and types of tumors, and addressing cancer-related information, such as clinical follow-up and treatment. This study reviews several mature MCED AI products currently available in the market, detecting their composing factors from serum biomarker detection, MCED AI training/validation, and the clinical application. This review illuminates the challenges encountered by existing MCED AI products across these stages, offering insights into the continued development and obstacles within the field of MCED AI.
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Affiliation(s)
- Hsin-Yao Wang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33343, Taiwan
- School of Medicine, National Tsing Hua University, Hsinchu 300044, Taiwan
- 20/20 GeneSystems, Gaithersburg, MD 20877, USA
| | - Wan-Ying Lin
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33343, Taiwan
| | | | - Zih-Ang Yang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33343, Taiwan
| | - Sriram Kalpana
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33343, Taiwan
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2
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Mohammed Y, Tran K, Carlsten C, Ryerson C, Wong A, Lee T, Cheng MP, Vinh DC, Lee TC, Winston BW, Sweet D, Boyd JH, Walley KR, Haljan G, McGeer A, Lamontagne F, Fowler R, Maslove D, Singer J, Patrick DM, Marshall JC, Murthy S, Jain F, Borchers CH, Goodlett DR, Levin A, Russell JA. Proteomic Evolution from Acute to Post-COVID-19 Conditions. J Proteome Res 2024; 23:52-70. [PMID: 38048423 PMCID: PMC10775146 DOI: 10.1021/acs.jproteome.3c00324] [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: 05/30/2023] [Revised: 10/30/2023] [Accepted: 11/13/2023] [Indexed: 12/06/2023]
Abstract
Many COVID-19 survivors have post-COVID-19 conditions, and females are at a higher risk. We sought to determine (1) how protein levels change from acute to post-COVID-19 conditions, (2) whether females have a plasma protein signature different from that of males, and (3) which biological pathways are associated with COVID-19 when compared to restrictive lung disease. We measured protein levels in 74 patients on the day of admission and at 3 and 6 months after diagnosis. We determined protein concentrations by multiple reaction monitoring (MRM) using a panel of 269 heavy-labeled peptides. The predicted forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO) were measured by routine pulmonary function testing. Proteins associated with six key lipid-related pathways increased from admission to 3 and 6 months; conversely, proteins related to innate immune responses and vasoconstriction-related proteins decreased. Multiple biological functions were regulated differentially between females and males. Concentrations of eight proteins were associated with FVC, %, and they together had c-statistics of 0.751 (CI:0.732-0.779); similarly, concentrations of five proteins had c-statistics of 0.707 (CI:0.676-0.737) for DLCO, %. Lipid biology may drive evolution from acute to post-COVID-19 conditions, while activation of innate immunity and vascular regulation pathways decreased over that period. (ProteomeXchange identifiers: PXD041762, PXD029437).
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Affiliation(s)
- Yassene Mohammed
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, Leiden 2333 ZA, The Netherlands
- UVic-Genome
BC Proteomics Centre, University of Victoria, Victoria V8Z 5N3, BC Canada
- Gerald
Bronfman Department of Oncology, McGill
University, Montreal, QC H3A 0G4, Canada
| | - Karen Tran
- Division
of General Internal Medicine, Vancouver
General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC V5Z 1M9, Canada
| | - Chris Carlsten
- Division
of Respiratory Medicine, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Christopher Ryerson
- Division
of Respiratory Medicine, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Alyson Wong
- Division
of Respiratory Medicine, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
| | - Terry Lee
- Centre for
Health Evaluation and Outcome Science (CHEOS), St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - Matthew P. Cheng
- Division
of Infectious Diseases, Department of Medicine, McGill University Health Centre, Montreal, PQ H4A 3J1, Canada
| | - Donald C. Vinh
- Division
of Infectious Diseases, Department of Medicine, McGill University Health Centre, Montreal, PQ H4A 3J1, Canada
| | - Todd C. Lee
- Division
of Infectious Diseases, Department of Medicine, McGill University Health Centre, Montreal, PQ H4A 3J1, Canada
| | - Brent W. Winston
- Departments
of Critical Care Medicine, Medicine and Biochemistry and Molecular
Biology, Foothills Medical Centre and University
of Calgary, 1403 29 Street
NW, Calgary, Alberta T2N 4N1, Canada
| | - David Sweet
- Division
of Critical Care Medicine, Vancouver General
Hospital, 2775 Laurel St, Vancouver, BC V5Z 1M9, Canada
| | - John H. Boyd
- Centre
for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - Keith R. Walley
- Centre
for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - Greg Haljan
- Department of Medicine, Surrey Memorial
Hospital, 13750 96th
Avenue, Surrey, BC V3V 1Z2, Canada
| | - Allison McGeer
- Mt. Sinai Hospital and University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
| | | | - Robert Fowler
- Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada
| | - David Maslove
- Department
of Critical Care, Kingston General Hospital
and Queen’s University, 76 Stuart Street, Kingston, ON K7L 2V7, Canada
| | - Joel Singer
- Centre for
Health Evaluation and Outcome Science (CHEOS), St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - David M. Patrick
- British Columbia Centre for Disease Control
(BCCDC) and University
of British Columbia, 655 West 12th Avenue, Vancouver, BC V5Z 4R4, Canada
| | - John C. Marshall
- Department of Surgery, St. Michael’s
Hospital, 30 Bond Street, Toronto, ON M5B
1W8, Canada
| | - Srinivas Murthy
- BC Children’s Hospital and University of British Columbia, 4500 Oak Street, Vancouver, BC V6H 3N1, Canada
| | - Fagun Jain
- Black Tusk Research Group, Vancouver, BC V6Z 2C7, Canada
| | - Christoph H. Borchers
- Segal Cancer Proteomics, Centre, Lady Davis
Institute
for Medical Research, McGill University, Montreal, QC H3T 1E2, Canada
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- Division of Experimental Medicine, McGill
University, Montreal, QC H3T 1E2, Canada
- Department of Pathology, McGill
University, Montreal, QC H3T 1E2, Canada
| | - David R. Goodlett
- UVic-Genome
BC Proteomics Centre, University of Victoria, Victoria V8Z 5N3, BC Canada
| | - Adeera Levin
- Division of Nephrology, St.
Paul’s Hospital, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - James A. Russell
- Centre
for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
| | - ARBs CORONA I Consortium
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, Leiden 2333 ZA, The Netherlands
- UVic-Genome
BC Proteomics Centre, University of Victoria, Victoria V8Z 5N3, BC Canada
- Gerald
Bronfman Department of Oncology, McGill
University, Montreal, QC H3A 0G4, Canada
- Division
of General Internal Medicine, Vancouver
General Hospital and University of British Columbia, 2775 Laurel St, Vancouver, BC V5Z 1M9, Canada
- Division
of Respiratory Medicine, Vancouver General Hospital, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
- Centre for
Health Evaluation and Outcome Science (CHEOS), St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Division
of Infectious Diseases, Department of Medicine, McGill University Health Centre, Montreal, PQ H4A 3J1, Canada
- Departments
of Critical Care Medicine, Medicine and Biochemistry and Molecular
Biology, Foothills Medical Centre and University
of Calgary, 1403 29 Street
NW, Calgary, Alberta T2N 4N1, Canada
- Division
of Critical Care Medicine, Vancouver General
Hospital, 2775 Laurel St, Vancouver, BC V5Z 1M9, Canada
- Centre
for Heart Lung Innovation, St. Paul’s Hospital, University of British Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Division of Critical Care Medicine, St.
Paul’s Hospital, University of British
Columbia, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
- Department of Medicine, Surrey Memorial
Hospital, 13750 96th
Avenue, Surrey, BC V3V 1Z2, Canada
- Mt. Sinai Hospital and University of Toronto, 600 University Avenue, Toronto, ON M5G 1X5, Canada
- University of Sherbrooke, Sherbrooke, PQ J1K 2R1, Canada
- Sunnybrook Health Sciences Centre, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada
- Department
of Critical Care, Kingston General Hospital
and Queen’s University, 76 Stuart Street, Kingston, ON K7L 2V7, Canada
- British Columbia Centre for Disease Control
(BCCDC) and University
of British Columbia, 655 West 12th Avenue, Vancouver, BC V5Z 4R4, Canada
- Department of Surgery, St. Michael’s
Hospital, 30 Bond Street, Toronto, ON M5B
1W8, Canada
- BC Children’s Hospital and University of British Columbia, 4500 Oak Street, Vancouver, BC V6H 3N1, Canada
- Black Tusk Research Group, Vancouver, BC V6Z 2C7, Canada
- Segal Cancer Proteomics, Centre, Lady Davis
Institute
for Medical Research, McGill University, Montreal, QC H3T 1E2, Canada
- Gerald Bronfman Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- Division of Experimental Medicine, McGill
University, Montreal, QC H3T 1E2, Canada
- Department of Pathology, McGill
University, Montreal, QC H3T 1E2, Canada
- Division of Nephrology, St.
Paul’s Hospital, 1081 Burrard Street, Vancouver, BC V6Z 1Y6, Canada
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3
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Edfors F, Iglesias MJ, Butler LM, Odeberg J. Proteomics in thrombosis research. Res Pract Thromb Haemost 2022; 6:e12706. [PMID: 35494505 PMCID: PMC9039028 DOI: 10.1002/rth2.12706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/24/2022] Open
Abstract
A State of the Art lecture titled “Proteomics in Thrombosis Research” was presented at the ISTH Congress in 2021. In clinical practice, there is a need for improved plasma biomarker‐based tools for diagnosis and risk prediction of venous thromboembolism (VTE). Analysis of blood, to identify plasma proteins with potential utility for such tools, could enable an individualized approach to treatment and prevention. Technological advances to study the plasma proteome on a large scale allows broad screening for the identification of novel plasma biomarkers, both by targeted and nontargeted proteomics methods. However, assay limitations need to be considered when interpreting results, with orthogonal validation required before conclusions are drawn. Here, we review and provide perspectives on the application of affinity‐ and mass spectrometry‐based methods for the identification and analysis of plasma protein biomarkers, with potential application in the field of VTE. We also provide a future perspective on discovery strategies and emerging technologies for targeted proteomics in thrombosis research. Finally, we summarize relevant new data on this topic, presented during the 2021 ISTH Congress.
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Affiliation(s)
- Fredrik Edfors
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Karolinska University Laboratory Karolinska University Hospital Stockholm Sweden
| | - Maria Jesus Iglesias
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
| | - Lynn M. Butler
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Clinical Chemistry and Blood Coagulation Research Department of Molecular Medicine and Surgery Karolinska Institute Stockholm Sweden
- Clinical Chemistry Karolinska University Laboratory Karolinska University Hospital Stockholm Sweden
- Department of Clinical Medicine The Arctic University of Norway Tromsø Norway
| | - Jacob Odeberg
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Department of Clinical Medicine The Arctic University of Norway Tromsø Norway
- Division of Internal Medicine University Hospital of North Norway Tromsø Norway
- Coagulation Unit Department of Hematology Karolinska University Hospital Stockholm Sweden
- Department of Medicine Solna Karolinska Institute Stockholm Sweden
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4
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Rotello RJ, Veenstra TD. Mass Spectrometry Techniques: Principles and Practices for Quantitative Proteomics. Curr Protein Pept Sci 2020; 22:121-133. [PMID: 32957902 DOI: 10.2174/1389203721666200921153513] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/26/2020] [Accepted: 06/13/2020] [Indexed: 01/05/2023]
Abstract
In the current omics-age of research, major developments have been made in technologies that attempt to survey the entire repertoire of genes, transcripts, proteins, and metabolites present within a cell. While genomics has led to a dramatic increase in our understanding of such things as disease morphology and how organisms respond to medications, it is critical to obtain information at the proteome level since proteins carry out most of the functions within the cell. The primary tool for obtaining proteome-wide information on proteins within the cell is mass spectrometry (MS). While it has historically been associated with the protein identification, developments over the past couple of decades have made MS a robust technology for protein quantitation as well. Identifying quantitative changes in proteomes is complicated by its dynamic nature and the inability of any technique to guarantee complete coverage of every protein within a proteome sample. Fortunately, the combined development of sample preparation and MS methods have made it capable of quantitatively comparing many thousands of proteins obtained from cells and organisms.
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Affiliation(s)
- Rocco J Rotello
- School of Pharmacy, Cedarville University, Cedarville, OH 45314, United States
| | - Timothy D Veenstra
- School of Pharmacy, Cedarville University, Cedarville, OH 45314, United States
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5
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Makridakis M, Kontostathi G, Petra E, Stroggilos R, Lygirou V, Filip S, Duranton F, Mischak H, Argiles A, Zoidakis J, Vlahou A. Multiplexed MRM-based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma. Sci Rep 2020; 10:4815. [PMID: 32179759 PMCID: PMC7076027 DOI: 10.1038/s41598-020-61496-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 01/29/2020] [Indexed: 12/28/2022] Open
Abstract
Current diagnostic measures for Chronic Kidney Disease (CKD) include detection of reduced estimated glomerular filtration rate (eGFR) and albuminuria, which have suboptimal accuracies in predicting disease progression. The disease complexity and heterogeneity underscore the need for multiplex quantification of different markers. The goal of this study was to determine the association of six previously reported CKD-associated plasma proteins [B2M (Beta-2-microglobulin), SERPINF1 (Pigment epithelium-derived factor), AMBP (Protein AMBP), LYZ (Lysozyme C), HBB (Hemoglobin subunit beta) and IGHA1 (Immunoglobulin heavy constant alpha 1)], as measured in a multiplex format, with kidney function, and outcome. Antibody-free, multiple reaction monitoring mass spectrometry (MRM) assays were developed, characterized for their analytical performance, and used for the analysis of 72 plasma samples from a patient cohort with longitudinal follow-up. The MRM significantly correlated (Rho = 0.5–0.9) with results from respective ELISA. Five proteins [AMBP, B2M, LYZ, HBB and SERPINF1] were significantly associated with eGFR, with the three former also associated with unfavorable outcome. The combination of these markers provided stronger associations with outcome (p < 0.0001) compared to individual markers. Collectively, our study describes a multiplex assay for absolute quantification and verification analysis of previously described putative CKD prognostic markers, laying the groundwork for further use in prospective validation studies.
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Affiliation(s)
- Manousos Makridakis
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Georgia Kontostathi
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Eleni Petra
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Rafael Stroggilos
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Vasiliki Lygirou
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Szymon Filip
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | | | | | | | - Jerome Zoidakis
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece
| | - Antonia Vlahou
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
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6
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Kontostathi G, Makridakis M, Zoidakis J, Vlahou A. Applications of multiple reaction monitoring targeted proteomics assays in human plasma. Expert Rev Mol Diagn 2019; 19:499-515. [PMID: 31057016 DOI: 10.1080/14737159.2019.1615448] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Introduction: Multiple (or selected) reaction monitoring-mass spectrometry (MRM/SRM) is a targeted proteomic method that can be used for relative and absolute quantification. Multiple reports exist supporting the potential of the approach in proteomic biomarker validation. Areas covered: To get an overview of the applications of MRM in protein quantification in plasma, a search in MedLine/PubMed was performed using the keywords: 'MRM/SRM plasma proteomic/proteomics/proteome'. The retrieved studies were further filtered to focus on disease biomarkers and the main results are summarized. Expert opinion: MRM is increasingly employed for the quantification of both well-established but also newly discovered putative biomarkers and occasionally their post-translationally modified forms in plasma. Fractionation is regularly required for the detection of low abundance proteins. Standardized procedures to facilitate assay establishment and marker quantification have been proposed and, in few cases, implemented. Nevertheless, in most cases, absolute quantification is not performed. To advance, multiple technical issues including the regular use of standard labeled peptides and appropriate quality controls to monitor assay performance should be considered. Additionally, clinical aspects involving careful study design to address biomarker clinical use should also be considered.
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Affiliation(s)
- Georgia Kontostathi
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Manousos Makridakis
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Jerome Zoidakis
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Antonia Vlahou
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
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Mnatsakanyan R, Shema G, Basik M, Batist G, Borchers CH, Sickmann A, Zahedi RP. Detecting post-translational modification signatures as potential biomarkers in clinical mass spectrometry. Expert Rev Proteomics 2019; 15:515-535. [PMID: 29893147 DOI: 10.1080/14789450.2018.1483340] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Numerous diseases are caused by changes in post-translational modifications (PTMs). Therefore, the number of clinical proteomics studies that include the analysis of PTMs is increasing. Combining complementary information-for example changes in protein abundance, PTM levels, with the genome and transcriptome (proteogenomics)-holds great promise for discovering important drivers and markers of disease, as variations in copy number, expression levels, or mutations without spatial/functional/isoform information is often insufficient or even misleading. Areas covered: We discuss general considerations, requirements, pitfalls, and future perspectives in applying PTM-centric proteomics to clinical samples. This includes samples obtained from a human subject, for instance (i) bodily fluids such as plasma, urine, or cerebrospinal fluid, (ii) primary cells such as reproductive cells, blood cells, and (iii) tissue samples/biopsies. Expert commentary: PTM-centric discovery proteomics can substantially contribute to the understanding of disease mechanisms by identifying signatures with potential diagnostic or even therapeutic relevance but may require coordinated efforts of interdisciplinary and eventually multi-national consortia, such as initiated in the cancer moonshot program. Additionally, robust and standardized mass spectrometry (MS) assays-particularly targeted MS, MALDI imaging, and immuno-MALDI-may be transferred to the clinic to improve patient stratification for precision medicine, and guide therapies.
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Affiliation(s)
- Ruzanna Mnatsakanyan
- a Protein Dynamics , Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V , Dortmund , 44227 , Germany
| | - Gerta Shema
- a Protein Dynamics , Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V , Dortmund , 44227 , Germany
| | - Mark Basik
- b Gerald Bronfman Department of Oncology , Jewish General Hospital, McGill University , Montreal , Quebec H4A 3T2 , Canada
| | - Gerald Batist
- b Gerald Bronfman Department of Oncology , Jewish General Hospital, McGill University , Montreal , Quebec H4A 3T2 , Canada
| | - Christoph H Borchers
- b Gerald Bronfman Department of Oncology , Jewish General Hospital, McGill University , Montreal , Quebec H4A 3T2 , Canada.,c University of Victoria-Genome British Columbia Proteomics Centre, University of Victoria , Victoria , British Columbia V8Z 7X8 , Canada.,d Department of Biochemistry and Microbiology , University of Victoria , Victoria , British Columbia , V8P 5C2 , Canada.,e Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University , Montreal , Quebec H3T 1E2 , Canada
| | - Albert Sickmann
- a Protein Dynamics , Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V , Dortmund , 44227 , Germany.,f Medizinische Fakultät, Medizinische Proteom-Center (MPC), Ruhr-Universität Bochum , 44801 Bochum , Germany.,g Department of Chemistry , College of Physical Sciences, University of Aberdeen , Aberdeen AB24 3FX , Scotland , United Kingdom
| | - René P Zahedi
- a Protein Dynamics , Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V , Dortmund , 44227 , Germany.,b Gerald Bronfman Department of Oncology , Jewish General Hospital, McGill University , Montreal , Quebec H4A 3T2 , Canada.,e Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University , Montreal , Quebec H3T 1E2 , Canada
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8
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Kontostathi G, Makridakis M, Bitsika V, Tsolakos N, Vlahou A, Zoidakis J. Development and Validation of Multiple Reaction Monitoring (MRM) Assays for Clinical Applications. Methods Mol Biol 2019; 1959:205-223. [PMID: 30852825 DOI: 10.1007/978-1-4939-9164-8_14] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Selected/multiple reaction monitoring-mass spectrometry (SRM/MRM) is an analytical method that is frequently combined to the use of stable isotope-labeled standard (SIS) peptides for absolute protein quantification. The application of SRM/MRM is a relatively recent development in the proteomics field for analysis of biological samples (plasma, urine, cell/tissue lysates) targeting to a large extent biomarker validation. Although MRM generally by-passes the use of antibodies (being linked to sub-optimal assay specificity in many cases), bioanalytical validation of MRM protocols has not been robustly applied because of sensitivity issues, in contrary to antibody-based methods. In this chapter, we will discuss the points that should be addressed for MRM method development in clinical proteomics applications.
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Affiliation(s)
| | | | - Vasiliki Bitsika
- Biomedical Research Foundation Academy of Athens, Athens, Greece
| | | | - Antonia Vlahou
- Biomedical Research Foundation Academy of Athens, Athens, Greece
| | - Jerome Zoidakis
- Biomedical Research Foundation Academy of Athens, Athens, Greece.
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9
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Mahdavi S, Jenkins DJA, Borchers CH, El-Sohemy A. Genetic Variation in 9p21 and the Plasma Proteome. J Proteome Res 2018; 17:2649-2656. [DOI: 10.1021/acs.jproteome.8b00117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Sara Mahdavi
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 310, Toronto, Ontario M5S 3E2, Canada
| | - David J. A. Jenkins
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 310, Toronto, Ontario M5S 3E2, Canada
- Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 209 Victoria Street, Toronto, Ontario M5B 1T8, Canada
- Risk Factor Modification Centre and Division of Endocrinology and Metabolism, St. Michael’s Hospital, St. Michael’s Health Centre, 61 Queen Street East, Toronto, Ontario M5C 2T2, Canada
| | - Christoph H. Borchers
- University of Victoria−Genome British Columbia Proteomics Centre, University of Victoria, Victoria, British Colombia V8Z 7X8, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia V8P 5C2, Canada
- Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H4A 3T2, Canada
- Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada
| | - Ahmed El-Sohemy
- Department of Nutritional Sciences, University of Toronto, 150 College Street, Room 310, Toronto, Ontario M5S 3E2, Canada
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Hsiao YC, Chu LJ, Chen YT, Chi LM, Chien KY, Chiang WF, Chang YT, Chen SF, Wang WS, Chuang YN, Lin SY, Chien CY, Chang KP, Chang YS, Yu JS. Variability Assessment of 90 Salivary Proteins in Intraday and Interday Samples from Healthy Donors by Multiple Reaction Monitoring-Mass Spectrometry. Proteomics Clin Appl 2018; 12. [PMID: 29350471 DOI: 10.1002/prca.201700039] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 12/11/2017] [Indexed: 12/19/2022]
Abstract
PURPOSE Saliva is an attractive sample source for the biomarker-based testing of several diseases, especially oral cancer. Here, we sought to apply multiplexed LC-MRM-MS to precisely quantify 90 disease-related proteins and assess their intra- and interindividual variability in saliva samples from healthy donors. EXPERIMENTAL DESIGN We developed two multiplexed LC-MRM-MS assays for 122 surrogate peptides representing a set of disease-related proteins. Saliva samples were collected from 10 healthy volunteers at three different time points (Day 1 morning and afternoon, and Day 2 morning). Each sample was spiked with a constant amount of a 15 N-labeled protein and analyzed by MRM-MS in triplicate. Quantitative results from LC-MRM-MS were calculated by single-point quantification with reference to a known amount of internal standard (heavy peptide). RESULTS The CVs for assay reproducibility and technical variation were 13 and 11%, respectively. The average concentrations of the 99 successfully quantified proteins ranged from 0.28 ± 0.58 ng mL-1 for profilin-2 (PFN2) to 8.55 ±8.96 μg mL-1 for calprotectin (S100A8). For the 90 proteins detectable in >50% of samples, the average CVs for intraday, interday, intraindividual, and interindividual samples were 38%, 43%, 45%, and 69%, respectively. The fluctuations of most target proteins in individual subjects were found to be within ± twofold. CONCLUSIONS AND CLINICAL RELEVANCE Our study elucidated the intra- and interindividual variability of 90 disease-related proteins in saliva samples from healthy donors. The findings may facilitate the further development of salivary biomarkers for oral and systemic diseases.
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Affiliation(s)
- Yung-Chin Hsiao
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Liver Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Lichieh Julie Chu
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Liver Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yi-Ting Chen
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Lang-Ming Chi
- Clinical Proteomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Kun-Yi Chien
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wei-Fan Chiang
- Department of Oral and Maxillofacial Surgery, Chi-Mei Medical Center, Tainan, Taiwan.,School of Dentistry, National Yang Ming University, Taipei, Taiwan
| | - Ya-Ting Chang
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Szu-Fan Chen
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Wei-Shun Wang
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Yao-Ning Chuang
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Shih-Yu Lin
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Chih-Yen Chien
- Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Kai-Ping Chang
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Departments of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yu-Sun Chang
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Departments of Otolaryngology, Head and Neck Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Jau-Song Yu
- Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan.,Liver Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Cell and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
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11
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Clark SR, Schubert KO, Olagunju AT, Lyrtzis EA, Baune BT. Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS): Rationale, Design, and Characteristics. Front Psychiatry 2018; 9:662. [PMID: 30559688 PMCID: PMC6287598 DOI: 10.3389/fpsyt.2018.00662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 11/19/2018] [Indexed: 11/13/2022] Open
Abstract
Prediction of treatment response and illness trajectory in psychotic disorders including schizophrenia, bipolar affective disorder, schizoaffective disorder, and psychotic depression is difficult due to heterogeneity in presentation and outcome. Consequently, patients may receive prolonged ineffective treatments leading to functional decline, illness chronicity, and iatrogenic physical illness. One approach to addressing these problems is to stratify patients based on historical, clinical, and biological signatures. Such an approach has the potential to improve categorization resulting in better understanding of underlying mechanisms and earlier evidence-based treatment with reduced side effect burden. To investigate these multimodal signatures we developed the Cognitive and Functional Assessment of Psychosis Stratification Study (CoFAPSS) employing a prospective study design and a healthy control group comparison. The main aim of this study is to investigate cognitive, and biological "genomics" markers of psychotic illnesses that can be integrated with clinical data to improve prediction of risk and define functional trajectories. We also aim to identify biological "genomic" signatures underpinning variation in treatment response and adverse medical outcomes. The study commenced in June 2016, including patients with primary diagnosis of psychotic disorders including schizophrenia, bipolar affective disorder, schizoaffective disorder, and psychotic depression according to DSM-5 criteria. The assessment covers a wide range of participant history (life stressors, trauma, and family history), cognitive dimensions (social perception, memory and learning, attention, executive function, and general cognition), measures to assess psychosocial function and quality of life, psychotic symptom severity, clinical course of illness, and parameters for adverse medical outcome. Blood is collected for comprehensive genomic discovery analyses of biological (genomic, transcriptomic, proteomic, and cell-biologic) markers. The CoFAPSS is a novel approach that integrates clinical, cognitive and biological "genomic" markers to clarify clinico-pathological basis of risk, functional trajectories, disease stratification, treatment response, and adverse medical outcome. The CoFAPSS team welcomes collaborations with both national and international investigators.
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Affiliation(s)
- Scott R Clark
- Discipline of Psychiatry, School of Medicine, The University of Adelaide Adelaide, SA, Australia
| | - K Oliver Schubert
- Discipline of Psychiatry, School of Medicine, The University of Adelaide Adelaide, SA, Australia
| | - Andrew T Olagunju
- Discipline of Psychiatry, School of Medicine, The University of Adelaide Adelaide, SA, Australia.,Department of Psychiatry University of Lagos, Lagos, Nigeria
| | - Ellen Alexandra Lyrtzis
- Discipline of Psychiatry, School of Medicine, The University of Adelaide Adelaide, SA, Australia
| | - Bernhard T Baune
- Discipline of Psychiatry, School of Medicine, The University of Adelaide Adelaide, SA, Australia.,Department of Psychiatry, Melbourne Medical School, The University of Melbourne Melbourne, VIC, Australia
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12
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Identification of Borrelia protein candidates in mouse skin for potential diagnosis of disseminated Lyme borreliosis. Sci Rep 2017; 7:16719. [PMID: 29196626 PMCID: PMC5711925 DOI: 10.1038/s41598-017-16749-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 11/16/2017] [Indexed: 11/09/2022] Open
Abstract
In vector-borne diseases, the skin plays an essential role in the transmission of vector-borne pathogens between the vertebrate host and blood-feeding arthropods and in pathogen persistence. Borrelia burgdorferi sensu lato is a tick-borne bacterium that causes Lyme borreliosis (LB) in humans. This pathogen may establish a long-lasting infection in its natural vertebrate host where it can persist in the skin and some other organs. Using a mouse model, we demonstrate that Borrelia targets the skin regardless of the route of inoculation, and can persist there at low densities that are difficult to detect via qPCR, but that were infective for blood-feeding ticks. Application of immunosuppressive dermocorticoids at 40 days post-infection (PI) significantly enhanced the Borrelia population size in the mouse skin. We used non-targeted (Ge-LC-MS/MS) and targeted (SRM-MS) proteomics to detect several Borrelia-specific proteins in the mouse skin at 40 days PI. Detected Borrelia proteins included flagellin, VlsE and GAPDH. An important problem in LB is the lack of diagnosis methods capable of detecting active infection in humans suffering from disseminated LB. The identification of Borrelia proteins in skin biopsies may provide new approaches for assessing active infection in disseminated manifestations.
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13
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Protein expression changes caused by spaceflight as measured for 18 Russian cosmonauts. Sci Rep 2017; 7:8142. [PMID: 28811532 PMCID: PMC5557884 DOI: 10.1038/s41598-017-08432-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 07/11/2017] [Indexed: 12/19/2022] Open
Abstract
The effects of spaceflight on human physiology is an increasingly studied field, yet the molecular mechanisms driving physiological changes remain unknown. With that in mind, this study was performed to obtain a deeper understanding of changes to the human proteome during space travel, by quantitating a panel of 125 proteins in the blood plasma of 18 Russian cosmonauts who had conducted long-duration missions to the International Space Station. The panel of labeled prototypic tryptic peptides from these proteins covered a concentration range of more than 5 orders of magnitude in human plasma. Quantitation was achieved by a well-established and highly-regarded targeted mass spectrometry approach involving multiple reaction monitoring in conjunction with stable isotope-labeled standards. Linear discriminant function analysis of the quantitative results revealed three distinct groups of proteins: 1) proteins with post-flight protein concentrations remaining stable, 2) proteins whose concentrations recovered slowly, or 3) proteins whose concentrations recovered rapidly to their pre-flight levels. Using a systems biology approach, nearly all of the reacting proteins could be linked to pathways that regulate the activities of proteases, natural immunity, lipid metabolism, coagulation cascades, or extracellular matrix metabolism.
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14
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Carr SJ, Zahedi RP, Lochmüller H, Roos A. Mass spectrometry-based protein analysis to unravel the tissue pathophysiology in Duchenne muscular dystrophy. Proteomics Clin Appl 2017. [DOI: 10.1002/prca.201700071] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Stephanie J. Carr
- John Walton Muscular Dystrophy Research Centre; Institute of Genetic Medicine; Newcastle University; Newcastle upon Tyne UK
| | - René P. Zahedi
- Leibniz-Institut für Analytische Wissenschaften, ISAS e.V.; Dortmund Germany
| | - Hanns Lochmüller
- John Walton Muscular Dystrophy Research Centre; Institute of Genetic Medicine; Newcastle University; Newcastle upon Tyne UK
| | - Andreas Roos
- John Walton Muscular Dystrophy Research Centre; Institute of Genetic Medicine; Newcastle University; Newcastle upon Tyne UK
- Leibniz-Institut für Analytische Wissenschaften, ISAS e.V.; Dortmund Germany
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