The virtual physiological human: computer simulation for integrative biomedicine I
2010; Royal Society; Volume: 368; Issue: 1920 Linguagem: Inglês
10.1098/rsta.2010.0096
ISSN1471-2962
Autores Tópico(s)Genetics, Aging, and Longevity in Model Organisms
ResumoYou have accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Viceconti Marco and Kohl Peter 2010The virtual physiological human: computer simulation for integrative biomedicine IPhil. Trans. R. Soc. A.3682591–2594http://doi.org/10.1098/rsta.2010.0096SectionYou have accessIntroductionThe virtual physiological human: computer simulation for integrative biomedicine I Marco Viceconti Marco Viceconti Laboratorio di Tecnologia Medica, Istituto Ortopedico Rizzoli, Bologna, Italy [email protected] Google Scholar Find this author on PubMed Search for more papers by this author and Peter Kohl Peter Kohl Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK Google Scholar Find this author on PubMed Search for more papers by this author Marco Viceconti Marco Viceconti Laboratorio di Tecnologia Medica, Istituto Ortopedico Rizzoli, Bologna, Italy [email protected] Google Scholar Find this author on PubMed Search for more papers by this author and Peter Kohl Peter Kohl Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK Google Scholar Find this author on PubMed Search for more papers by this author Published:13 June 2010https://doi.org/10.1098/rsta.2010.0096Contemporary biomedical research and clinical practice face a major challenge: the classic reductionist approach, which we successfully used for decades to dissect at more and more detail the components and mechanisms underlying the physiology and pathology of organism, is now showing its limits. Most of the grand challenges in biomedical research and practice involve mechanisms that emerge from complex systemic interactions of different parts, defined at radically different spatio-temporal scales, belonging to different organ systems, and requiring different methodological approaches that are spread over many different academic disciplines and domains of knowledge. We need to complement the recent reductionist approach by ‘returning back to basics’—an integrated view of biomedicine, as has been typical for traditional research areas, such as physiology, over centuries. Of course, we can return to this more holistic approach from a different position, now that we have at our command the tools and insights from modern biology—but how do we do that, without drowning in the flood of reductionist data generated?To make integrative biomedical research and practice possible, we need a new framework of methods and technologies which makes it possible to investigate living organisms as a whole. This is at the heart of the virtual physiological human (VPH) initiative (Fenner et al. 2008). The VPH is ‘a methodological and technological framework that, once established, will enable collaborative investigation of the human body as a single complex system’ (STEP consortium 2007). VPH research targets biomedical study, application development and clinical practice. For research and development, the collective framework will make it possible to share resources and observations between institutions and organizations, creating disparate, but integrated, computer models of the mechanical, physical and biochemical functions of a living human body. For clinical practice, VPH technologies will make possible a new form of medicine that is personalized (based on all available data on the patient), predictive (supporting longitudinal ‘what if?’ analyses) and integrative (synergistically combining all available information and expertise).We are delighted that the Philosophical Transactions of the Royal Society A has given a home and focal point to these developments, by making special issues on the VPH a regular feature. A double issue on ‘Biomathematical modelling’ (Gavaghan et al. 2006), compiled by D. Gavaghan, A. Garny, P. Maini and P. Kohl, coincided with the European ‘STEP’ process (Strategy Towards a European Physiome, led by M. Viceconti and G. Clapworthy (STEP Consortium 2007)) that led to the establishment of the VPH initiative.After the launch of the VPH, this was followed in 2008 by focused issues on ‘The virtual physiological human: building a framework for computational biomedicine I & II’ (Clapworthy et al. 2008), edited by M. Viceconti, G. Clapworthy, P. V. Coveney and P. Kohl, and on ‘Biomedical applications of systems biology and biological physics’ (Mosekilde & Tass 2008), compiled by E. Mosekilde and P. A. Tass. The dynamic development of the VPH found reflection in 2009 by ‘The virtual physiological human: tools and applications I & II’ (Gavaghan et al. 2009), edited by D. Gavaghan, P. V. Coveney and P. Kohl; by ‘Crossing boundaries: computational science, e-Science and global e-Infrastructure I & II’ (Coveney & Atkinson 2009), compiled by P. V. Coveney and M. P. Atkinson; and by ‘From biological and clinical experiments to mathematical models’ (Demongeot et al. 2009), compiled J. Demongeot, J.-P. Françoise and D. Nerini. The present issue contains a selection of papers presented at the IVth International Congress on Computational Bioengineering, including the 1st European Symposium on Biomedical Integrative Research, held in Bertinoro (Italy), 16–18 September 2009. Of the hundreds of abstracts submitted to that conference, 35 were invited to submit a full-length paper, out of which 26 completed the editorial process and were included in this two-volume issue on ‘The virtual physiological human: computer simulation for integrative biomedicine’.This first Theme Issue is opened by an editorial entitled ‘A vision and strategy for the virtual physiological human in 2010 and beyond’ (Hunter et al. 2010). This has been compiled as a result of discussions within the VPH Network of Excellence, and represents an update on the 2007 VPH Research roadmap (STEP Consortium 2007).The remaining 11 papers offer an excellent overview of current biomedical integrative research, and on the VPH technology that makes it possible. In this Theme Issue, we collected papers that tackle relevant problems, mostly related to connective tissues. Each paper focuses on a preferential range of dimensional scales. ‘Developments of coarse-graining DNA models for single-nucleotide resolution analysis’ (Doi et al. 2010) centres its attention at the molecular level; ‘Cytoskeleton reorganization of spreading cells on micro-patterned islands: a functional model’ (Loosli et al. 2010) at the cellular level; ‘Multi-scale modelling and nonlinear finite-element analysis as clinical tools for the assessment of fracture risk’ (Christen et al. 2010) at the tissue level, and so on.Probably because the conference was hosted by the Rizzoli Orthopaedic Institute, this Theme Issue contains several papers that focus on the musculoskeletal system, an organ system that received relatively little attention in previous instalments. Levels of investigation range from the tissue level, as in ‘Trabecular bone remodelling simulation considering osteocytic response to fluid-induced shear stress’ (Adachi et al. 2010) and ‘In silico design of treatment strategies in wound healing and bone fracture healing’ (Geris et al. 2010), to the whole organ, as in ‘Predicting the yield of the proximal femur using high-order finite-element analysis with inhomogeneous orthotropic material properties’ (Yosibash et al. 2010) and ‘Mechanical testing of bones: the positive synergy of finite-element models and in vitro experiments’ (Cristofolini et al. 2010) or even the entire organ system, as in ‘Influence of fatigue on the simulated relation between the amplitude of the surface electromyogram and muscle force’ (Dideriksen et al. 2010) and ‘Effect of fatigue on force fluctuations in knee extensors in young adults’ (Singh et al. 2010). All papers share the integrative approach that is characteristic of VPH research.We also included a paper that deals with one of the most complicated (and most ‘integrative’) physiological systems: the immune system. In ‘ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale’ (Halling-Brown et al. 2010), the authors report relevant achievements of a European research project recently completed.To close this first Theme Issue we chose ‘An overview of recent applications of computational modelling in neonatology’ (Wrobel et al. 2010), which highlights the utility of the VPH approach in exploring the functioning of complex medical devices for neonatology in a more integrative manner.This Theme Issue would not have been possible without the incredible work of our Editorial Assistant, Martina Contin, whom we would like to thank for her commitment.We hope you will have as much fun in reading these papers as we had in editing this Theme Issue. Working with the authors and the peer reviewers, who ensured the high quality of accepted papers, was a pleasant and on some occasions a truly enlightening experience.Enjoy the reading.AcknowledgementsWe thank all regional, national and international funding bodies that recognize the value of biomedical integrative research and support it. Special recognition is due to the European Commission in general, and the ‘ICT for Health’ unit of the DG-INFSO in particular, which have made VPH research and development a core target of the present 7th Framework Programme.FootnotesOne contribution of 13 to a Theme Issue ‘The virtual physiological human: computer simulation for integrative biomedicine I’.© 2010 The Royal SocietyReferencesAdachi T., Kameo Y.& Hojo M.. 2010Trabecular bone remodelling simulation considering osteocytic response to fluid-induced shear stress. Phil. Trans. R. Soc. A 368, 2669-2682(doi:10.1098/rsta.2010.0073). Link, ISI, Google ScholarChristen D., Webster D. J.& Müller R.. 2010Multiscale modelling and nonlinear finite element analysis as clinical tools for the assessment of fracture risk. Phil. Trans. R. Soc. A 368, 2653-2668(doi:10.1098/rsta.2010.0041). Link, ISI, Google ScholarClapworthy G., Viceconti M., Coveney P. V.& Kohl P.. 2008Editorial. The virtual physiological human: building a framework for computational biomedicine I. Phil. Trans. R. Soc. A 366, 2975-2978(doi:10.1098/rsta.2008.0103). Link, ISI, Google ScholarCoveney P. V.& Atkinson M. P.. 2009Crossing boundaries: computational science, e-Science and global e-Infrastructure I. Phil. Trans. R. Soc. A 367, 2425-2427(doi:10.1098/rsta.2009.0061). Link, ISI, Google ScholarCristofolini L., Schileo E., Juszczyk M., Taddei F., Martelli S.& Viceconti M.. 2010Mechanical testing of bones: the positive synergy of finite–element models and in vitro experiments. Phil. Trans. R. Soc. A 368, 2725-2763(doi:10.1098/rsta.2010.0046). Link, ISI, Google ScholarDemongeot J., Françoise J.-P.& Nerini D.. 2009From biological and clinical experiments to mathematical models. Phil. Trans. R. Soc. A 367, 4657-4663(doi:10.1098/rsta.2009.0187). Link, ISI, Google ScholarDideriksen J. L., Farina D.& Enoka R. M.. 2010Influence of fatigue on the simulated relation between the amplitude of the surface electromyogram and muscle force. Phil. Trans. R. Soc. A 368, 2765-2781(doi:10.1098/rsta.2010.0094). Link, ISI, Google ScholarDoi K., Haga T., Shintaku H.& Kawano S.. 2010Development of coarse-graining DNA models for single-nucleotide resolution analysis. Phil. Trans. R. Soc. A 368, 2615-2628(doi:10.1098/rsta.2010.0068). Link, ISI, Google ScholarFenner J., et al.2008The EuroPhysiome, STEP and a roadmap for the virtual physiological human. Phil. Trans. R. Soc. A 366, 2979-2999(doi:10.1098/rsta.2008.0089). Link, ISI, Google ScholarGavaghan D., Garny A., Maini P. K.& Kohl P.. 2006Mathematical models in physiology. Phil. Trans. R. Soc. A 364, 1099-1106(doi:10.1098/rsta.2006.1757). Link, ISI, Google ScholarGavaghan D., Coveney P. V.& Kohl P.. 2009The virtual physiological human: tools and applications I. Phil. Trans. R. Soc. A 367, 1817-1821(doi:10.1098/rsta.2009.0070). Link, ISI, Google ScholarGeris L., Schugart R.& Van Oosterwyck H.. 2010In silico design of treatment strategies in wound healing and bone fracture healing. Phil. Trans. R. Soc. A368, 2683-2706(doi:10.1098/rsta.2010.0056). Google ScholarHalling-Brown M., et al.2010ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale. Phil. Trans. R. Soc. A 368, 2799-2815(doi:10.1098/rsta.2010.0067). Link, ISI, Google ScholarHunter P., et al.2010A vision and strategy for the virtual physiological human in 2010 and beyond. Phil. Trans. R. Soc. A 368, 2595-2614(doi:10.1098/rsta.2010.0048). Link, ISI, Google ScholarLoosli Y., Luginbuehl R.& Snedeker J. G.. 2010Cytoskeleton reorganization of spreading cells on micro-patterned islands: a functional model. Phil. Trans. R. Soc. A 368, 2629-2652(doi:10.1098/rsta.2010.0069). Link, ISI, Google ScholarMosekilde E.& Tass P. A.. 2008Biomedical applications of systems biology and biological physics. Phil. Trans. R. Soc. A 366, 3437-3444(doi:10.1098/rsta.2008.0130). Link, ISI, Google ScholarSingh N. B., Arampatzis A., Duda G., Heller M. O.& Taylor W. R.. 2010Effect of fatigue on force fluctuations in knee extensors in young adults. Phil. Trans. R. Soc. A 368, 2783-2798(doi:10.1098/rsta.2010.0091). Link, ISI, Google ScholarSTEP Consortium.2007Seeding the EuroPhysiome: a roadmap to the virtual physiological human. See http://www.europhysiome.org/roadmap (5 July 2007). Google ScholarWrobel L. C., Ginalski M. K., Nowak A. J., Ingham D. B.& Fic A. M.. 2010An overview of recent applications of computational modelling in neonatology. Phil. Trans. R. Soc. A 368, 2817-2834(doi:10.1098/rsta.2010.0052). Link, ISI, Google ScholarYosibash Z., Tal D.& Trabelsi N.. 2010Predicting the yield of the proximal femur using high-order finite-element analysis with inhomogeneous orthotropic material properties. Phil. Trans. R. Soc. A 368, 2707-2723(doi:10.1098/rsta.2010.0074). Link, ISI, Google Scholar Next Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsCited byHoekstra A, van Bavel E, Siebes M, Gijsen F and Geris L (2017) Virtual physiological human 2016: translating the virtual physiological human to the clinic, Interface Focus, 8:1, Online publication date: 6-Feb-2018. Isiaka F and Mailafiya A (2014) Simulation of physiological response to dynamic contents 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 10.1109/ICACCI.2014.6968498, 978-1-4799-3080-7, (456-461) Hunter P, Chapman T, Coveney P, de Bono B, Diaz V, Fenner J, Frangi A, Harris P, Hose R, Kohl P, Lawford P, McCormack K, Mendes M, Omholt S, Quarteroni A, Shublaq N, Skår J, Stroetmann K, Tegner J, Thomas S, Tollis I, Tsamardinos I, van Beek J and Viceconti M (2013) A vision and strategy for the virtual physiological human: 2012 update, Interface Focus, 3:2, Online publication date: 6-Apr-2013. Fregly B, Boninger M and Reinkensmeyer D (2012) Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: a perspective from European research sites, Journal of NeuroEngineering and Rehabilitation, 10.1186/1743-0003-9-18, 9:1, (18), . Viceconti M, Taddei F, Cristofolini L, Martelli S, Falcinelli C and Schileo E (2012) Are spontaneous fractures possible? An example of clinical application for personalised, multiscale neuro-musculo-skeletal modelling, Journal of Biomechanics, 10.1016/j.jbiomech.2011.11.048, 45:3, (421-426), Online publication date: 1-Feb-2012. Viceconti M (2011) A tentative taxonomy for predictive models in relation to their falsifiability, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369:1954, (4149-4161), Online publication date: 13-Nov-2011.Brook B, Kohl P and King J (2011) Towards the virtual physiological human: mathematical and computational case studies, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369:1954, (4145-4148), Online publication date: 13-Nov-2011. Frangi A, Coatrieux J, Peng G, D’Argenio D, Marmarelis V and Michailova A Editorial: Special Issue on Multiscale Modeling and Analysis in Computational Biology and Medicine—Part-1, IEEE Transactions on Biomedical Engineering, 10.1109/TBME.2011.2165151, 58:10, (2936-2942) Pepper M (2010) Editorial, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368:1933, (5559-5560), Online publication date: 28-Dec-2011. Pruett W, Hester R and Boltze J (2016) The Creation of Surrogate Models for Fast Estimation of Complex Model Outcomes, PLOS ONE, 10.1371/journal.pone.0156574, 11:6, (e0156574) This Issue13 June 2010Volume 368Issue 1920Theme Issue 'The virtual physiological human: computer simulation for integrative biomedicine I' compiled and edited by Marco Viceconti and Peter Kohl Article InformationDOI:https://doi.org/10.1098/rsta.2010.0096Published by:Royal SocietyPrint ISSN:1364-503XOnline ISSN:1471-2962History: Published online13/06/2010Published in print13/06/2010 License:© 2010 The Royal Society Citations and impact PDF Download Subjectsbiomedical engineering
Referência(s)