Literature DB >> 24984594

Regenerative orthopaedics: in vitro, in vivo...in silico.

Liesbet Geris1.   

Abstract

In silico, defined in analogy to in vitro and in vivo as those studies that are performed on a computer, is an essential step in problem-solving and product development in classical engineering fields. The use of in silico models is now slowly easing its way into medicine. In silico models are already used in orthopaedics for the planning of complicated surgeries, personalised implant design and the analysis of gait measurements. However, these in silico models often lack the simulation of the response of the biological system over time. In silico models focusing on the response of the biological systems are in full development. This review starts with an introduction into in silico models of orthopaedic processes. Special attention is paid to the classification of models according to their spatiotemporal scale (gene/protein to population) and the information they were built on (data vs hypotheses). Subsequently, the review focuses on the in silico models used in regenerative orthopaedics research. Contributions of in silico models to an enhanced understanding and optimisation of four key elements-cells, carriers, culture and clinics-are illustrated. Finally, a number of challenges are identified, related to the computational aspects but also to the integration of in silico tools into clinical practice.

Mesh:

Year:  2014        PMID: 24984594     DOI: 10.1007/s00264-014-2419-6

Source DB:  PubMed          Journal:  Int Orthop        ISSN: 0341-2695            Impact factor:   3.075


  63 in total

1.  Strut size and surface area effects on long-term in vivo degradation in computer designed poly(L-lactic acid) three-dimensional porous scaffolds.

Authors:  Eiji Saito; Yifei Liu; Francesco Migneco; Scott J Hollister
Journal:  Acta Biomater       Date:  2012-03-20       Impact factor: 8.947

2.  Simulation of tissue differentiation in a scaffold as a function of porosity, Young's modulus and dissolution rate: application of mechanobiological models in tissue engineering.

Authors:  Damien P Byrne; Damien Lacroix; Josep A Planell; Daniel J Kelly; Patrick J Prendergast
Journal:  Biomaterials       Date:  2007-09-25       Impact factor: 12.479

3.  Quantifying the mechanical micro-environment during three-dimensional cell expansion on microbeads by means of individual cell-based modelling.

Authors:  Bart Smeets; Tim Odenthal; Engelbert Tijskens; Herman Ramon; Hans Van Oosterwyck
Journal:  Comput Methods Biomech Biomed Engin       Date:  2013-10       Impact factor: 1.763

4.  Multiphase modelling of the influence of fluid flow and chemical concentration on tissue growth in a hollow fibre membrane bioreactor.

Authors:  Natalie C Pearson; Rebecca J Shipley; Sarah L Waters; James M Oliver
Journal:  Math Med Biol       Date:  2013-09-13       Impact factor: 1.854

5.  Therapeutically targeting ErbB3: a key node in ligand-induced activation of the ErbB receptor-PI3K axis.

Authors:  Birgit Schoeberl; Emily A Pace; Jonathan B Fitzgerald; Brian D Harms; Lihui Xu; Lin Nie; Bryan Linggi; Ashish Kalra; Violette Paragas; Raghida Bukhalid; Viara Grantcharova; Neeraj Kohli; Kip A West; Magdalena Leszczyniecka; Michael J Feldhaus; Arthur J Kudla; Ulrik B Nielsen
Journal:  Sci Signal       Date:  2009-06-30       Impact factor: 8.192

6.  The influence of the scaffold design on the distribution of adhering cells after perfusion cell seeding.

Authors:  Ferry P W Melchels; Beatrice Tonnarelli; Andy L Olivares; Ivan Martin; Damien Lacroix; Jan Feijen; David J Wendt; Dirk W Grijpma
Journal:  Biomaterials       Date:  2011-02-01       Impact factor: 12.479

7.  A hybrid bioregulatory model of angiogenesis during bone fracture healing.

Authors:  Véronique Peiffer; Alf Gerisch; Dirk Vandepitte; Hans Van Oosterwyck; Liesbet Geris
Journal:  Biomech Model Mechanobiol       Date:  2010-09-09

Review 8.  Role of mathematical modeling in bone fracture healing.

Authors:  Peter Pivonka; Colin R Dunstan
Journal:  Bonekey Rep       Date:  2012-11-14

9.  Relating the chondrocyte gene network to growth plate morphology: from genes to phenotype.

Authors:  Johan Kerkhofs; Scott J Roberts; Frank P Luyten; Hans Van Oosterwyck; Liesbet Geris
Journal:  PLoS One       Date:  2012-04-30       Impact factor: 3.240

10.  Understanding epigenetic changes in aging stem cells--a computational model approach.

Authors:  Jens Przybilla; Thimo Rohlf; Markus Loeffler; Joerg Galle
Journal:  Aging Cell       Date:  2014-01-15       Impact factor: 9.304

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  10 in total

1.  Tissue engineering and regenerative orthopaedics (TERO).

Authors:  Marko Pećina; Slobodan Vukičević
Journal:  Int Orthop       Date:  2014-08-12       Impact factor: 3.075

Review 2.  The role of growth factors in stem cell-directed chondrogenesis: a real hope for damaged cartilage regeneration.

Authors:  Ewelina Augustyniak; Tomasz Trzeciak; Magdalena Richter; Jacek Kaczmarczyk; Wiktoria Suchorska
Journal:  Int Orthop       Date:  2014-12-16       Impact factor: 3.075

3.  In Silico Clinical Trials in the Orthopedic Device Industry: From Fantasy to Reality?

Authors:  Philippe Favre; Ghislain Maquer; Adam Henderson; Daniel Hertig; Daniel Ciric; Jeffrey E Bischoff
Journal:  Ann Biomed Eng       Date:  2021-05-10       Impact factor: 3.934

Review 4.  In silico regenerative medicine: how computational tools allow regulatory and financial challenges to be addressed in a volatile market.

Authors:  L Geris; Y Guyot; J Schrooten; I Papantoniou
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

Review 5.  The Holy Grail of Orthopedic Surgery: Mesenchymal Stem Cells-Their Current Uses and Potential Applications.

Authors:  Roberto Berebichez-Fridman; Ricardo Gómez-García; Julio Granados-Montiel; Enrique Berebichez-Fastlicht; Anell Olivos-Meza; Julio Granados; Cristina Velasquillo; Clemente Ibarra
Journal:  Stem Cells Int       Date:  2017-06-18       Impact factor: 5.443

Review 6.  Orthopaedic regenerative tissue engineering en route to the holy grail: disequilibrium between the demand and the supply in the operating room.

Authors:  Ibrahim Fatih Cengiz; Hélder Pereira; Laura de Girolamo; Magali Cucchiarini; João Espregueira-Mendes; Rui L Reis; Joaquim Miguel Oliveira
Journal:  J Exp Orthop       Date:  2018-05-22

Review 7.  Computational modeling of bone fracture non-unions: four clinically relevant case studies.

Authors:  Aurélie Carlier; Johan Lammens; Hans Van Oosterwyck; Liesbet Geris
Journal:  In Silico Cell Tissue Sci       Date:  2015-12-18

8.  Capturing the wide variety of impaired fracture healing phenotypes in Neurofibromatosis Type 1 with eight key factors: a computational study.

Authors:  A Carlier; H Brems; J M A Ashbourn; I Nica; E Legius; L Geris
Journal:  Sci Rep       Date:  2016-01-29       Impact factor: 4.379

Review 9.  Computational Modeling and Reverse Engineering to Reveal Dominant Regulatory Interactions Controlling Osteochondral Differentiation: Potential for Regenerative Medicine.

Authors:  Raphaelle Lesage; Johan Kerkhofs; Liesbet Geris
Journal:  Front Bioeng Biotechnol       Date:  2018-11-13

10.  Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility.

Authors:  Flora T Musuamba; Ine Skottheim Rusten; Raphaëlle Lesage; Giulia Russo; Roberta Bursi; Luca Emili; Gaby Wangorsch; Efthymios Manolis; Kristin E Karlsson; Alexander Kulesza; Eulalie Courcelles; Jean-Pierre Boissel; Cécile F Rousseau; Emmanuelle M Voisin; Rossana Alessandrello; Nuno Curado; Enrico Dall'ara; Blanca Rodriguez; Francesco Pappalardo; Liesbet Geris
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-07-13
  10 in total

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