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Foundations of Neuromechanical Systems Biology

Reference	BB/J021504/1
Principal Investigator / Supervisor	Professor Dominic Wells
Co-Investigators / Co-Supervisors	Professor John Hutchinson, Dr Andrew Spence
Institution	Royal Veterinary College
Department	Comparative Biomedical Sciences CBS
Funding type	Research
Value (£)	658,150
Status	Completed
Type	Research Grant
Start date	01/02/2013
End date	31/01/2016
Duration	36 months

Abstract

Locomotion is complex. It emerges from the dynamic interplay of ion channels, neurons, muscles, skeletons, limbs, bodies, and the environment. A century of extraordinary science has studied reflex pathways, muscle function, redundancy in limbs, and whole body mechanics. To build a systems level understanding of locomotion, however, we need to integrate these results with a new class of data from precisely perturbed, intact, freely behaving animals. The success of systems approaches in molecular and cellular biology has been in part due to: 1) acknowledgment of causation at any level; 2) data and models that span levels of the system, and 3) tools for causal manipulation at multiple levels. This proposal will bring these key features of a systems biology approach to bear on the problem of locomotion. We will: 1) Build a detailed musculoskeletal model of the mouse hindlimb. This will allow us to predict how muscle output and sensory input are integrated to produce locomotion at the level of the limb. 2) Use optimal feedback control theory to predict how the hindlimb will respond to five crucial perturbations. These are increased motor noise, a loss of sensory feedback, an unexpected external perturbation, and an unexpected external perturbation with increased motor noise, and with a loss of sensory feedback. 3) Use optogenetics to develop an in vivo, freely moving mouse preparation in which a) lower hind-leg muscles can be selectively activated and b) sensory input from the lower hind-leg can be selectively silenced. 4) Compare the simulated predictions of the behaviour of the leg with experimental data from precisely perturbed, freely running mice. This will be achieved using advanced real-time instrumentation built around a treadmill. Given published data on individual and stride-to-stride variation in the kinematics of running mice, predictions from our model can be tested with mild external perturbations and a reasonable number of subjects (10).

Summary

Understanding how animals move is one of the grand challenges of modern science. It has broad impact on society: it affects our ability to explain the biological world, to treat human and animal disease, and to aid those recovering from injury. The more we know about how biological systems control their movement, and how different organs contribute to locomotion, the better we will be able to treat those with neurological disorders or musculoskeletal injury, and to inspire new technologies, such as legged robots. Locomotion is the signature behavior of animals. In the face of an unpredictable environment, noisy signals from sense organs and noisy forces from muscles, animals are able to move with speed, dexterity and robustness. Yet for one of the most important types of movement, fast terrestrial locomotion on legs, we do not know how sensory information is used to stabilise the body, or how we manage our noisy muscles. Stability may be largely handled by the mechanics of the body; sensory input may still be incorporated, but on longer time-scales; or, rapid locomotion may be constrained by motor noise. This project will test these divergent predictions. A major obstacle stands in the way of our understanding of how the nervous and musculoskeletal systems work together to produce locomotion. The problem is that locomotion results from the interaction of the brain, spinal cord, musculoskeletal system, and external world. This means that for us to accurately interpret what the role of each of these subsystems is, we need to independently examine and manipulate each subsystem, in an intact, freely behaving animal, in an ethical way. Understanding how each subsystem works in the context of all of them is important not just because history teaches us that linking across subsystems is a reliable way of gaining insight into the whole system, but because disease and injury frequently affect only one of these subsystems, or organs within a subsystem, at a time. The firstmajor aim of this proposal is to develop the technologies we need to overcome this limitation. In doing so, we believe we are laying the foundation for a new branch of science: neuromechanical systems biology. This field will treat neurons, muscles, skeletons, and the external environment as complex interacting constituents that result in locomotion, in a manner akin to systems biology at the cellular and molecular levels. Considering the function of each organ in the full context of the running animal is important if we are to gain a true picture of what each organ does. We will couple this integrative approach with powerful new ways to precisely perturb running animals. We will combine optogenetic neural manipulation with real-time tracking and mechanical perturbation to make possible causal, neuromechanical perturbations of freely running mice. By teasing apart the neural and mechanical contributions to locomotion we will gain a clear understanding of the computations performed by the nervous system during locomotion. With this understanding we will confirm, refute, or refine the predictions of optimal feedback control theory, a leading theory of motor coordination. Testing this theory is the second major aim of this proposal. Optogenetics is an extraordinary new technology that provides unprecedented new ways to study and manipulate the nervous system. Optogenetics allows specific neurons to be turned on and off, extremely quickly, using light. It relies on our knowledge of genetics to place molecular, light-dependent on/off switches in the membranes of specific neurons. It is revolutionizing neuroscience, because it allows us to study the function of parts of the nervous system in a causal manner. Here we propose to combine optogenetics with a neuromechanical approach to locomotion. We firmly believe that this combination will revolutionize our understanding of how biological systems move, and give us important new tools for medicine.

Impact Summary

This grant will impact industry, society, and academe. It pushes academic boundaries in an area with direct economic applications, and strong societal influence. If we are successful, we will have laid the foundation for a new type of systems biology. For the first time, we have the tools to precisely measure and perturb both the nervous system and locomotion of a close mammalian cousin. It is hard to underestimate the impact this could have on an aging society that relies, at its core, on the mobility of its citizens. Movement is critical to health and quality of life. The total NHS spending on musculoskeletal and neurological disease in 2007 was £7.4bn (Featherstone, 2010; www.policyexchange.co.uk). Circulatory problems and mental health together cost the UK £17.2bn, and a significant fraction of this cost will have its roots in mobility; movement is central to maintaining both good circulation and mental health (Halliwell, 2005; Mental Health Found. London). We hope to lay the foundation for medical advances that improve our ability to treat those facing a lack of mobility, increasingly important as our population ages, and thus have a huge impact on the quality of life of many millions of people. In other areas of neuroscience, the revolution brought on by optogenetics speaks for itself. While papers in high impact journals are certainly not the final arbiter of societal impact, they are an indicator of subsequent breadth of effect, and since April 2009, 13 Science or Nature papers have used optogenetics to move beyond correlation and causally investigate critical mechanisms for human medicine (anxiety, attention, epilepsy, fear, learning, macular degeneration, Parkinson's disease, respiration, reward, a validation of fMRI). This grant will enable a similar wave of discovery in movement science. With movement disorders affecting 28% of people between 50 and 89, it is of the highest priority. Industry: This grant will benefit the UK healthcare industry. Pharmaceutical companies using mouse models for diagnosis and drug development will benefit from the work developing a new mouse line and preparation, in which specific parts of the peripheral nervous system can be perturbed. For diagnosis and drug assays, the feedback treadmill system allows much finer experimental control. Society: Optogenetics is awe-inspiring. This will contribute to public engagement, both in the discoveries it makes possible and in awareness of science generally. The ethics of optogenetics must be considered by society at large, and this must happen soon, for the UK to keep abreast of international efforts. Discoveries made with optogenetics offer hope to a vast number of people with neurological illness. By demonstrating how it can be used to help those with movement disorders, this proposal will bring positive awareness to UK basic science. The fact that optogenetics was made possible by the discoveries of microbiologists will reinforce the case for basic research. Academia: skills and trained people. This proposal will provide exceptional training opportunities for its PDRAs. The PDRAs will benefit not only from pushing the frontier within their own disciplines (optogenetics and optimality principles), but from the comparative advantage of learning techniques and modes of thinking from another discipline. The biology PDRA will gain an understanding of engineering control, building systems from first principles, and computer modeling. The control/biomedical PDRA will gain an exposure to genetics and physiology, thinking conceptually about complex biological systems, and learning how to ask questions in biology. We are firm believers that exposure to different modes of thinking is an exceptional stimulus for mental and scientific growth. Their professional development may also be enhanced by involvement in the exploitation of new technologies and through industry collaboration.

Committee	Research Committee A (Animal disease, health and welfare)
Research Topics	Neuroscience and Behaviour, Systems Biology
Research Priority	X – Research Priority information not available
Research Initiative	X - not in an Initiative
Funding Scheme	X – not Funded via a specific Funding Scheme

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