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Martinez-Pinna R, Barbas C, Blanco-Colio LM, Tunon J, Ramos-Mozo P, Lopez JA, Meilhac O, Michel JB, Egido J, Martin-Ventura JL. Proteomic and metabolomic profiles in atherothrombotic vascular disease. Curr Atheroscler Rep 2010; 12:202-8. [PMID: 20425260 DOI: 10.1007/s11883-010-0102-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Atherothrombosis remains a major cause of morbidity and mortality in the western world. The underlying processes associated with clinical expression of atherothrombosis include oxidative stress and proteolysis in relation to neovascularisation and intraplaque hemorrhages, leading to immuno-inflammatory response, cell death, and extracellular matrix breakdown. The complex biological multifactorial nature of atherothrombosis requires the development of novel technologies that allow the analysis of cellular and molecular processes responsible for the transition to disease phenotypes and the discovery of new diagnostic and prognostic biomarkers. In the present article, we have reviewed recent advances in the application of proteomic and metabolomic techniques to the study of atherothrombosis. We have focused on recent studies analyzing cells involved in hemo-thrombus formation (platelets, red blood cells, and polymorphonuclear cells), as well as tissues, tissue-conditioned media, and plasma of atherothrombotic patients. In the future, the application of these high-throughput technologies, along with imaging techniques, in systems biology approaches will help to individualize medicine.
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Affiliation(s)
- Roxana Martinez-Pinna
- Vascular Research Laboratory, Instituto de Investigacion Sanitaria, Fundación Jimenez Diaz, Autonoma University, Av. Reyes Católicos 2, 28040, Madrid, Spain
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Rajalahti T, Kroksveen AC, Arneberg R, Berven FS, Vedeler CA, Myhr KM, Kvalheim OM. A Multivariate Approach To Reveal Biomarker Signatures for Disease Classification: Application to Mass Spectral Profiles of Cerebrospinal Fluid from Patients with Multiple Sclerosis. J Proteome Res 2010; 9:3608-20. [DOI: 10.1021/pr100142m] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Tarja Rajalahti
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Ann C. Kroksveen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Reidar Arneberg
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Frode S. Berven
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Christian A. Vedeler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Kjell-Morten Myhr
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
| | - Olav M. Kvalheim
- Department of Clinical Medicine, University of Bergen, Bergen, Norway, Department of Neurology, Haukeland University Hospital, Bergen, Norway, Institute of Medicine, University of Bergen, Bergen, Norway, Pattern Recognition Systems AS, Bergen, Norway, Proteomic Unit (PROBE), Department of Biomedicine, University of Bergen, Bergen, Norway, The Norwegian Multiple Sclerosis National Competence Centre, Haukeland University Hospital, Bergen, Norway, and Department of Chemistry, University of Bergen, Bergen,
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