A new framework for computational biomechanical models and 3Rs in musculoskeletal research.

Lead Research Organisation: University of Leeds
Department Name: Sch of Biomedical Sciences

Abstract

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Technical Summary

This project has two primary goals: (1) to quantify the experimental input data required for musculoskeletal computer models to deliver accurate biomechanical predictions, and (2) provide quantitative data on the current and future potential of computer simulation approaches as an alternative to animal experimentation in basic science, clinical/veterinary and industrial projects involving biomechanics. To achieve this we will use mastication in rabbits as our model system because it is experimentally tractable and will generate data relevant to basic biological science fields and the health and welfare of rabbits. We will collect a wealth of anatomical, in vivo and in vitro experimental data on the rabbit masticatory system. Biplanar x-ray videography will be synchronized with strain gauges, muscle EMG and sonomicrometry and a bite force transducer to simultaneously record 3D motions, muscle dynamics, bone strains and bite forces during feeding. In vitro physiology experiments will quantify muscle mechanics and key contractile properties. Key anatomical variables from the same rabbits will be quantified using dissection, medical imaging and nanoindentation. Initially this data will be used to test hypotheses relating functional adaptations to processing different food types and to understand how tissue level properties translate to overall skull function. But most importantly this data will allow us to build, drive and validate the most comprehensive musculoskeletal computer models produced to-date. Our initial models will thus provide a best-case scenario for simulation accuracy. We will then incrementally reduce or average-out the resolution of input data given to the model and observe the effects on accuracy. This will tell us how individual input parameters affect accuracy and help the musculoskeletal research community identify which parameters do not need to be measured through experimentation in real animals to achieve specific thresholds of accuracy.

Planned Impact

The main impacts of this research programme are on animal welfare, the general public, and the researchers employed on the grant, together with benefits to the academic community (see Academic Beneficiaries).

APPLIED LINKS WITH THE POTENTIAL TO DELIVER ANIMAL WELFARE BENEFITS THROUGH THE 3Rs
Publication and dissemination of computational models will benefit a very wide range of researchers, potentially leading to significant societal impact in terms of improved animal welfare. Through the development of the most robust, validated computer models ever constructed we will facilitate a step change in our understanding of model accuracy and usefulness, and in doing so provide a marker for future musculoskeletal research. Our models will demonstrate how precise (or how species-specific) input parameters have to be to achieve different thresholds of accuracy in terms of predicting an enormous range of muscle and bone parameters. This will directly guide other researchers utilising musculoskeletal models in a variety of contexts, ranging from basic biologists (e.g. functional anatomists, palaeontologists), to applied researchers (clinicians/veterinarians) interested in understanding healthy and "abnormal" biomechanics, through to bioengineers and roboticists developing medical devices and bioinspired robots.

As a direct consequence of this we believe that our models will demonstrate that computer simulation approaches can contribute significantly to achieving the 3Rs in musculoskeletal research, and in surgical and implant design studies that require biomechanical analyses. Experimental studies of this type are highly invasive and typically cause significant pain and distress to the animals before they are euthanized. The approach we will take herein will mean that the potential for future benefits from 3Rs in this context will be broad. By demonstrating how individual anatomical and physiological parameters (e.g. muscle size, contraction behaviour) impact on model accuracy our data will indicate which variables need to be measured directly from cohorts or species of animal in the future and which do not, given the threshold of accuracy for specific model parameters required. In the future, the application of such models will allow some animal experiments to be replaced and in other cases refined and/or reduced as model simulations will allow research efforts involving animal research to be better designed.

THE GENERAL PUBLIC
Animal anatomy and functional morphology are topics that interest the general public, as testified by the continued success of natural history documentaries and recent documentaries like "Inside Nature's Giants." Medical imaging and computational models are powerful and flexible mediums through which to communicate our understanding of the links between anatomy, mechanics and ecology to the general public. Our work will have a positive impact in this respect and demonstrating technological advances and a wide variety of applications of biological research and will have an impact on the general public as a whole, but in particular school children.

OTHER SPECIFIC IMPACTS
The careers of the PDRAs will be developed considerably by involvement in a multi-disciplinary project that integrates physiology, biomechanics and modelling approaches. They will benefit from working closely with laboratories in different leading institutions. The research will also impact on the training of undergraduates carrying out research projects and postgraduates completing MSc/PhD's within our labs.
 
Description We have successfully developed a computational biomechanical model using the most comprehensive set of anatomical, physiological and biomechanical data ever collected. The model is able to accurately replicate the behaviour of the musculoskeletal system. A strong collaboration has been developed that will allow us to build upon this research and demonstrate the ability of the model to make a significant contribution to the 3Rs of the use of animals in biomedical research.
Exploitation Route Having developed a detailed computational biomechanics model based on extensive anatomical, physiological and biomechanics in vivo data, the next step is to demonstrate the ability of the model to aid industry in making a significant contribution to the replacement, reduction and refinement of the use of animals in biomedical research.
Sectors Healthcare,Pharmaceuticals and Medical Biotechnology

 
Description Collaboration with Dr James Charles 
Organisation Royal Veterinary College (RVC)
Country United Kingdom 
Sector Academic/University 
PI Contribution We have provided physiological data as inputs to a Biomechanical computational model and predictions of muscle performance during locomotion to be compared to the model.
Collaborator Contribution Dr Charles has provided data from a computational model of the predictions of muscle performance during locomotion.
Impact Ongoing collaboration
Start Year 2022
 
Description NC3Rs workshop (University of Liverpool) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Third sector organisations
Results and Impact NC3Rs workshop/ symposium involving talks and networking - attending by University of Liverpool researchers (PIs, postdocs, PhD students). Sparked questions and discussions about our research.
Year(s) Of Engagement Activity 2020