Gut on a Chip 4.0: next generation models to study gut-microbiome interaction

Lead Research Organisation: Imperial College London
Department Name: Chemistry

Abstract

There is currently no readily accessible and realistic model for human gut signaling. Such a model would need to combine computational modelling with functional readouts in a physiologically relevant setting, in the presence of diverse metabolites and receptors in a dynamic microbiota environment, and under the influence of nutrition. This unsolved technological challenge holds back progress in understanding the roles of metabolite signaling for the treatment of obesity and metabolic disease. The aim of the PhD will be to deliver a new human colon microfluidic technology platform that will enable analysis of gut signaling in a near physiological setting, through a computational and physical model. To achieve this we will deliver a human in vitro colonic microfluidic model, complete with mechanically active bacterial microenvironment and neuronal system. This ambitious aim, which has never been achieved before, requires a highly inter-disciplinary PhD necessitating specialists in 4 main areas in order for the project to progress and succeed: device design and fabrication, GPCR biology, chemical probes, and organoid transfer to the device. Our industrial partner Emulate will play an active role in the PhD.

By the end of the PhD the student will have delivered a near human colonic model which can be used to understand the complexed relationship between nutrition, microbiota and multidimensional GPCR signaling pathways.

Planned Impact

Addressing UK skills demand: The most important impact of the CDT will be to train a new generation of Chemical Biology PhD graduates (~80) to be future leaders of enterprise, molecular technology innovation and translation for academia and industry. They will be able to embrace the life science's industrialisation thereby filling a vital skills gap in UK industry. These students will be able to bridge the divide between academia/industry and development/application across the physical/mathematical sciences and life sciences, as well as the human-machine interfaces. The technology programme of the CDT will empower our students as serial inventors, not reliant on commercial solutions.
CDT Network-Communication & Engagement: The CDT will shape the landscape by bringing together >160 research groups with leading players from industry, government, tech accelerators, SMEs and CDT affiliates. The CDT is pioneering new collaboration models, from co-located prototyping warehouses through to hackathons-these will redefine industry-academic collaborations and drive technology transfer.
UK plc: The technologies generated by the CDT will produce IP with potential for direct commercial exploitation and will also provide valuable information for healthcare and industry. They will redefine the state of the art with respect to the ability to make, measure, model and manipulate molecular interactions in biological systems across multiple length scales. Coupled with industry 4.0 approaches this will reduce the massive, spiralling cost of product development pipelines. These advances will help establish the molecular engineering rules underlying challenging scientific problems in the life sciences that are currently intractable. The technology advances and the corresponding insight in biology generated will be exploitable in industrial and medical applications, resulting in enhanced capabilities for end-users in biological research, biomarker discovery, diagnostics and drug discovery.
These advances will make a significant contribution to innovation in UK industry, with a 5-10 year timeframe for commercial realisation. e.g. These tools will facilitate the identification of illness in its early stages, minimising permanent damage (10 yrs) and reducing associated healthcare costs. In the context of drug discovery, the ability to fuse the power of AI with molecular technologies that provide insight into the molecular mechanisms of disease, target and biomarker validation and testing for side effects of candidates will radically transform productivity (5-10 yrs). Developments in automation and rapid prototyping will reduce the barrier to entry for new start-ups and turn biology into an information technology driven by data, computation and high-throughput robotics. Technologies such as integrated single cell analysis and label free molecular tracking will be exploitable for clinical diagnostics and drug discovery on shorter time scales (ca.3-5 yrs).
Entrepreneurship & Exploitation: Embedded within the CDT, the DISRUPT tech-accelerator programme will drive and support the creation of a new wave of student-led spin-out vehicles based on student-owned IP.
Wider Community: The outreach, responsible research and communication skill-set of our graduates will strengthen end-user engagement outside their PhD research fields and with the general public. Many technologies developed in the CDT will address societal challenges, and thus will generate significant public interest. Through new initiatives such as the Makerspace the CDT will spearhead new citizen science approaches where the public engage directly in CDT led research by taking part in e.g hackathons. Students will also engage with a wide spectrum of stakeholders, including policy makers, regulatory bodies and end-users. e.g. the Molecular Quarter will ensure the CDT can promote new regulatory frameworks that will promote quick customer and patient access to CDT led breakthroughs.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023518/1 01/10/2019 31/03/2028
2271938 Studentship EP/S023518/1 01/10/2019 31/10/2024 Shreyas Bhatt