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Vernardis SI, Demichev V, Lemke O, Grüning NM, Messner C, White M, Pietzner M, Peluso A, Collet TH, Henning E, Gille C, Campbell A, Hayward C, Porteous DJ, Marioni RE, Mülleder M, Zelezniak A, Wareham NJ, Langenberg C, Farooqi IS, Ralser M. The Impact of Acute Nutritional Interventions on the Plasma Proteome. J Clin Endocrinol Metab 2023; 108:2087-2098. [PMID: 36658456 PMCID: PMC10348471 DOI: 10.1210/clinem/dgad031] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 01/14/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023]
Abstract
CONTEXT Humans respond profoundly to changes in diet, while nutrition and environment have a great impact on population health. It is therefore important to deeply characterize the human nutritional responses. OBJECTIVE Endocrine parameters and the metabolome of human plasma are rapidly responding to acute nutritional interventions such as caloric restriction or a glucose challenge. It is less well understood whether the plasma proteome would be equally dynamic, and whether it could be a source of corresponding biomarkers. METHODS We used high-throughput mass spectrometry to determine changes in the plasma proteome of i) 10 healthy, young, male individuals in response to 2 days of acute caloric restriction followed by refeeding; ii) 200 individuals of the Ely epidemiological study before and after a glucose tolerance test at 4 time points (0, 30, 60, 120 minutes); and iii) 200 random individuals from the Generation Scotland study. We compared the proteomic changes detected with metabolome data and endocrine parameters. RESULTS Both caloric restriction and the glucose challenge substantially impacted the plasma proteome. Proteins responded across individuals or in an individual-specific manner. We identified nutrient-responsive plasma proteins that correlate with changes in the metabolome, as well as with endocrine parameters. In particular, our study highlights the role of apolipoprotein C1 (APOC1), a small, understudied apolipoprotein that was affected by caloric restriction and dominated the response to glucose consumption and differed in abundance between individuals with and without type 2 diabetes. CONCLUSION Our study identifies APOC1 as a dominant nutritional responder in humans and highlights the interdependency of acute nutritional response proteins and the endocrine system.
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Affiliation(s)
- Spyros I Vernardis
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Vadim Demichev
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Oliver Lemke
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Nana-Maria Grüning
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Christoph Messner
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Matt White
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Maik Pietzner
- MRC Epidemiology Unit, University of Cambridge, Cambridge, CB2 0SL, UK
- Computational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Alina Peluso
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
| | - Tinh-Hai Collet
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
- Service of Endocrinology, Diabetology, Nutrition and Therapeutic Education, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland
| | - Elana Henning
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Christoph Gille
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Michael Mülleder
- Core Facility High Throughput Mass Spectrometry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
| | - Aleksej Zelezniak
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius SE-412 96, Lithuania
- Randall Centre for Cell & Molecular Biophysics, King's College London, New Hunt's House, Guy's Campus, SE1 1UL London, UK
| | | | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge, Cambridge, CB2 0SL, UK
- Computational Medicine, Berlin Institute of Health at Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
- Precision Healthcare University Research Institute, Queen Mary University of London, London, E1 1HH, UK
| | - I Sadaf Farooqi
- Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Wellcome-Medical Research Council Institute of Metabolic Science, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Markus Ralser
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, NW1 1HT, UK
- Department of Biochemistry, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany
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Aramburu IV, Hoving D, Vernardis SI, Tin MC, Ioannou M, Temkin MI, De Vasconcelos NM, Demichev V, Helbig ET, Lippert L, Stahl K, White M, Radbruch H, Ihlow J, Horst D, Chiesa ST, Deanfield JE, David S, Bode C, Kurth F, Ralser M, Papayannopoulos V. Functional proteomic profiling links deficient DNA clearance with increased mortality in individuals with severe COVID-19 pneumonia. Immunity 2022; 55:2436-2453.e5. [PMID: 36462503 PMCID: PMC9671605 DOI: 10.1016/j.immuni.2022.11.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 09/01/2022] [Accepted: 11/15/2022] [Indexed: 11/18/2022]
Abstract
The factors that influence survival during severe infection are unclear. Extracellular chromatin drives pathology, but the mechanisms enabling its accumulation remain elusive. Here, we show that in murine sepsis models, splenocyte death interferes with chromatin clearance through the release of the DNase I inhibitor actin. Actin-mediated inhibition was compensated by upregulation of DNase I or the actin scavenger gelsolin. Splenocyte death and neutrophil extracellular trap (NET) clearance deficiencies were prevalent in individuals with severe COVID-19 pneumonia or microbial sepsis. Activity tracing by plasma proteomic profiling uncovered an association between low NET clearance and increased COVID-19 pathology and mortality. Low NET clearance activity with comparable proteome associations was prevalent in healthy donors with low-grade inflammation, implicating defective chromatin clearance in the development of cardiovascular disease and linking COVID-19 susceptibility to pre-existing conditions. Hence, the combination of aberrant chromatin release with defects in protective clearance mechanisms lead to poor survival outcomes.
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Affiliation(s)
| | - Dennis Hoving
- The Francis Crick Institute, Antimicrobial Defence Laboratory, London, UK
| | - Spyros I. Vernardis
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London, UK
| | - Martha C.F. Tin
- The Francis Crick Institute, Antimicrobial Defence Laboratory, London, UK
| | - Marianna Ioannou
- The Francis Crick Institute, Antimicrobial Defence Laboratory, London, UK
| | - Mia I. Temkin
- The Francis Crick Institute, Antimicrobial Defence Laboratory, London, UK
| | | | - Vadim Demichev
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London, UK
| | - Elisa Theresa Helbig
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany
| | - Lena Lippert
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany
| | - Klaus Stahl
- Department of Gastroenterology, Hepatology and Endocrinology, Medical School Hannover, Hannover, Germany
| | - Matthew White
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London, UK
| | - Helena Radbruch
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Neuropathology, Charitéplatz 1, 10117 Berlin, Germany
| | - Jana Ihlow
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Pathology, Charitéplatz 1, 10117 Berlin, Germany
| | - David Horst
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Pathology, Charitéplatz 1, 10117 Berlin, Germany
| | - Scott T. Chiesa
- Institute of Cardiovascular Science, University College London, London, UK
| | - John E. Deanfield
- Institute of Cardiovascular Science, University College London, London, UK
| | - Sascha David
- Institute for Intensive Care Medicine, University Hospital Zurich, Zurich, Switzerland
| | - Christian Bode
- Department of Anaesthesiology and Critical Care, University Hospital Bonn, Bonn, Germany
| | - Florian Kurth
- Charité – Universitätsmedizin Berlin, Department of Infectious Diseases and Respiratory Medicine, Berlin, Germany
| | - Markus Ralser
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London, UK,Charité – Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany
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3
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Messner CB, Demichev V, Wendisch D, Michalick L, White M, Freiwald A, Textoris-Taube K, Vernardis SI, Egger AS, Kreidl M, Ludwig D, Kilian C, Agostini F, Zelezniak A, Thibeault C, Pfeiffer M, Hippenstiel S, Hocke A, von Kalle C, Campbell A, Hayward C, Porteous DJ, Marioni RE, Langenberg C, Lilley KS, Kuebler WM, Mülleder M, Drosten C, Suttorp N, Witzenrath M, Kurth F, Sander LE, Ralser M. Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection. Cell Syst 2020; 11:11-24.e4. [PMID: 32619549 PMCID: PMC7264033 DOI: 10.1016/j.cels.2020.05.012] [Citation(s) in RCA: 336] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 05/22/2020] [Accepted: 05/27/2020] [Indexed: 02/06/2023]
Abstract
The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets.
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Affiliation(s)
- Christoph B Messner
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
| | - Vadim Demichev
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Department of Biochemistry, The University of Cambridge, Cambridge CB21GA, UK
| | - Daniel Wendisch
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Laura Michalick
- Charité Universitätsmedizin, Institute of Physiology, 10117 Berlin, Germany
| | - Matthew White
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
| | - Anja Freiwald
- Charité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany; Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany
| | - Kathrin Textoris-Taube
- Charité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany
| | - Spyros I Vernardis
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
| | - Anna-Sophia Egger
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
| | - Marco Kreidl
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
| | - Daniela Ludwig
- Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany
| | - Christiane Kilian
- Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany
| | - Federica Agostini
- Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany
| | - Aleksej Zelezniak
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Charlotte Thibeault
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Moritz Pfeiffer
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Stefan Hippenstiel
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Andreas Hocke
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Christof von Kalle
- Berlin Institute of Health (BIH) and Charité Universitätsmedizin, Clinical Study Center (CSC), 10117 Berlin, Germany
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Usher Institute, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh EH16 4UX, UK
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Claudia Langenberg
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Kathryn S Lilley
- Department of Biochemistry, The University of Cambridge, Cambridge CB21GA, UK
| | - Wolfgang M Kuebler
- Charité Universitätsmedizin, Institute of Physiology, 10117 Berlin, Germany
| | - Michael Mülleder
- Charité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany
| | - Christian Drosten
- Charité Universitätsmedizin, Department of Virology, 10117 Berlin, Germany
| | - Norbert Suttorp
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Martin Witzenrath
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Florian Kurth
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany; Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Leif Erik Sander
- Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany
| | - Markus Ralser
- The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany.
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4
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Demichev V, Messner CB, Vernardis SI, Lilley KS, Ralser M. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nat Methods 2020; 17:41-44. [PMID: 31768060 PMCID: PMC6949130 DOI: 10.1038/s41592-019-0638-x] [Citation(s) in RCA: 619] [Impact Index Per Article: 154.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Accepted: 10/09/2019] [Indexed: 01/12/2023]
Abstract
We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification performance in conventional DIA proteomic applications, and is particularly beneficial for high-throughput applications, as it is fast and enables deep and confident proteome coverage when used in combination with fast chromatographic methods.
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Affiliation(s)
- Vadim Demichev
- Department of Biochemistry and The Milner Therapeutics Institute, University of Cambridge, Cambridge, UK
- The Francis Crick Institute, Molecular Biology of Metabolism laboratory, London, UK
| | - Christoph B Messner
- The Francis Crick Institute, Molecular Biology of Metabolism laboratory, London, UK
| | - Spyros I Vernardis
- The Francis Crick Institute, Molecular Biology of Metabolism laboratory, London, UK
| | - Kathryn S Lilley
- Department of Biochemistry and The Milner Therapeutics Institute, University of Cambridge, Cambridge, UK
| | - Markus Ralser
- The Francis Crick Institute, Molecular Biology of Metabolism laboratory, London, UK.
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany.
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5
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Tsipa A, Koutinas M, Vernardis SI, Mantalaris A. The impact of succinate trace on pWW0 and ortho-cleavage pathway transcription in Pseudomonas putida mt-2 during toluene biodegradation. Bioresour Technol 2017; 234:397-405. [PMID: 28347959 DOI: 10.1016/j.biortech.2017.03.082] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 03/11/2017] [Accepted: 03/13/2017] [Indexed: 06/06/2023]
Abstract
Toluene is a pollutant catabolised through the interconnected pWW0 (TOL) and ortho-cleavage pathways of Pseudomonas putida mt-2, while upon succinate and toluene mixtures introduction in batch cultures grown on M9 medium, succinate was previously reported as non-repressing. The effect of a 40 times lower succinate concentration, as compared to literature values, was explored through systematic real-time qPCR monitoring of transcriptional kinetics of the key TOL Pu, Pm and ortho-cleavage PbenR, PbenA promoters in mixed-substrate experiments. Even succinate trace inhibited transcription leading to bi-modal promoters expression. Potential carbon catabolite repression mechanisms and novel expression patterns of promoters were unfolded. Lag phase was shortened and biomass growth levels increased compared to sole toluene biodegradation suggesting enhanced pollutant removal efficiency. The study stressed the noticeable effect of a preferred compound's left-over on the main route of a bioprocess, revealing the beneficiary supply of low preferred substrates concentrations to design optimal bioremediation strategies.
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Affiliation(s)
- Argyro Tsipa
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ London, UK
| | - Michalis Koutinas
- Department of Environmental Science and Technology, Cyprus University of Technology, 30 Archbishop Kuprianou Str., 3036 Limassol, Cyprus
| | - Spyros I Vernardis
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ London, UK
| | - Athanasios Mantalaris
- Department of Chemical Engineering, South Kensington Campus, Imperial College London, SW7 2AZ London, UK.
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6
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Klontzas ME, Vernardis SI, Heliotis M, Tsiridis E, Mantalaris A. Metabolomics Analysis of the Osteogenic Differentiation of Umbilical Cord Blood Mesenchymal Stem Cells Reveals Differential Sensitivity to Osteogenic Agents. Stem Cells Dev 2017; 26:723-733. [PMID: 28418785 PMCID: PMC5439454 DOI: 10.1089/scd.2016.0315] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Mesenchymal stem cells (MSCs) of fetal origin, such as umbilical cord blood MSCs (UCB MSCs), have emerged as a promising cell source for musculoskeletal tissue regeneration because of their higher proliferation potential, lack of donor site morbidity, and their off-the-shelf potential. MSCs differentiated toward the osteogenic lineage exhibit a specific metabolic phenotype characterized by reliance to oxidative phosphorylation for energy production and reduced glycolytic rates. Currently, limited information exists on the metabolic transitions at different stages of the osteogenic process after osteoinduction with different agents. Herein, the osteoinduction efficiency of BMP-2 and dexamethasone on UCB MSCs was assessed using gas chromatography-mass spectrometry (GC-MS) metabolomics analysis, revealing metabolic discrepancies at 7, 14, and 21 days of induction. Whereas both agents when administered individually were able to induce collagen I, osteocalcin, and osteonectin expression, BMP-2 was less effective than dexamethasone in promoting alkaline phosphatase expression. The metabolomics analysis revealed that each agent induced distinct metabolic alterations, including changes in amino acid pools, glutaminolysis, one-carbon metabolism, glycolysis, and tricarboxylic acid cycle. Importantly, we showed that in vitro-differentiated UCB MSCs acquire a metabolic physiology similar to primary osteoblasts when induced with dexamethasone but not with BMP-2, highlighting the fact that metabolomics analysis is sensitive enough to reveal potential differences in the osteogenic efficiency and can be used as a quality control assay for evaluating the osteogenic process.
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Affiliation(s)
- Michail E Klontzas
- 1 Biological Systems Engineering Laboratory, Department of Chemical Engineering and Chemical Technology, Imperial College London , London, United Kingdom
| | - Spyros I Vernardis
- 1 Biological Systems Engineering Laboratory, Department of Chemical Engineering and Chemical Technology, Imperial College London , London, United Kingdom
| | - Manolis Heliotis
- 2 Department of Oral and Maxillofacial Surgery, London North West Healthcare NHS Trust, Northwick Park Hospital , London, United Kingdom
| | - Eleftherios Tsiridis
- 3 Academic Orthopaedic Unit, Aristotle University Medical School , Thessaloniki, Greece .,4 Department of Surgery and Cancer, Division of Surgery, Imperial College London , London, United Kingdom
| | - Athanasios Mantalaris
- 1 Biological Systems Engineering Laboratory, Department of Chemical Engineering and Chemical Technology, Imperial College London , London, United Kingdom
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7
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Totti S, Vernardis SI, Meira L, Pérez-Mancera PA, Costello E, Greenhalf W, Palmer D, Neoptolemos J, Mantalaris A, Velliou EG. Designing a bio-inspired biomimetic in vitro system for the optimization of ex vivo studies of pancreatic cancer. Drug Discov Today 2017; 22:690-701. [PMID: 28153670 DOI: 10.1016/j.drudis.2017.01.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 12/16/2016] [Accepted: 01/18/2017] [Indexed: 12/13/2022]
Abstract
Pancreatic cancer is one of the most aggressive and lethal human malignancies. Drug therapies and radiotherapy are used for treatment as adjuvants to surgery, but outcomes remain disappointing. Advances in tissue engineering suggest that 3D cultures can reflect the in vivo tumor microenvironment and can guarantee a physiological distribution of oxygen, nutrients, and drugs, making them promising low-cost tools for therapy development. Here, we review crucial structural and environmental elements that should be considered for an accurate design of an ex vivo platform for studies of pancreatic cancer. Furthermore, we propose environmental stress response biomarkers as platform readouts for the efficient control and further prediction of the pancreatic cancer response to the environmental and treatment input.
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Affiliation(s)
- Stella Totti
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK
| | - Spyros I Vernardis
- Biological Systems Engineering Laboratory (BSEL), Department of Chemical Engineering, Imperial College London, SW7 2AZ London, UK
| | - Lisiane Meira
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK
| | - Pedro A Pérez-Mancera
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK
| | - Eithne Costello
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK; NIHR Liverpool Pancreas Biomedical Research Unit, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK
| | - William Greenhalf
- NIHR Liverpool Pancreas Biomedical Research Unit, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK
| | - Daniel Palmer
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK
| | - John Neoptolemos
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK; NIHR Liverpool Pancreas Biomedical Research Unit, University of Liverpool,Daulby Street, Liverpool L69 3GA, UK
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory (BSEL), Department of Chemical Engineering, Imperial College London, SW7 2AZ London, UK
| | - Eirini G Velliou
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK.
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8
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Vernardis SI, Terzoudis K, Panoskaltsis N, Mantalaris A. Human embryonic and induced pluripotent stem cells maintain phenotype but alter their metabolism after exposure to ROCK inhibitor. Sci Rep 2017; 7:42138. [PMID: 28165055 PMCID: PMC5292706 DOI: 10.1038/srep42138] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/03/2017] [Indexed: 12/19/2022] Open
Abstract
Human pluripotent stem cells (hPSCs) are adhesion-dependent cells that require cultivation in colonies to maintain growth and pluripotency. Robust differentiation protocols necessitate single cell cultures that are achieved by use of ROCK (Rho kinase) inhibitors. ROCK inhibition enables maintenance of stem cell phenotype; its effects on metabolism are unknown. hPSCs were exposed to 10 μM ROCK inhibitor for varying exposure times. Pluripotency (TRA-1-81, SSEA3, OCT4, NANOG, SOX2) remained unaffected, until after prolonged exposure (96 hrs). Gas chromatography–mass spectrometry metabolomics analysis identified differences between ROCK-treated and untreated cells as early as 12 hrs. Exposure for 48 hours resulted in reduction in glycolysis, glutaminolysis, the citric acid (TCA) cycle as well as the amino acids pools, suggesting the adaptation of the cells to the new culture conditions, which was also reflected by the expression of the metabolic regulators, mTORC1 and tp53 and correlated with cellular proliferation status. While gene expression and protein levels did not reveal any changes in the physiology of the cells, metabolomics revealed the fluctuating state of the metabolism. The above highlight the usefulness of metabolomics in providing accurate and sensitive information on cellular physiological status, which could lead to the development of robust and optimal stem cell bioprocesses.
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Affiliation(s)
- Spyros I Vernardis
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, UK
| | - Konstantinos Terzoudis
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, UK
| | - Nicki Panoskaltsis
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, UK.,Department of Haematology, Imperial College, London, UK
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, UK
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Vernardis SI, Goudar CT, Klapa MI. Metabolic profiling reveals that time related physiological changes in mammalian cell perfusion cultures are bioreactor scale independent. Metab Eng 2013; 19:1-9. [DOI: 10.1016/j.ymben.2013.04.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2012] [Revised: 04/11/2013] [Accepted: 04/17/2013] [Indexed: 11/29/2022]
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