Roche is pioneering and promoting innovative approaches in preclinical research. These methods help us to identify promising drug candidates faster and with more precision and, at the same time, reduce the number of animals needed in research. They also lead to a better understanding of diseases and provide valuable insights for a more personalised approach to medicine.

Animal models are still indispensable in some research areas. They provide the only way of modelling the effects of a new medicine on an entire organism, with all its organs and the complex interactions that take place in the body. Long-term effects can often only be demonstrated in animal models, and that is also why authorities responsible for licencing drugs still insist on them as part of the approval process.

On the other hand, we know that animal models are not always transferable to humans. Drugs may cause effects in humans that are not seen in animal models, just as some effects in animals may not be relevant to humans. To reduce animal testing and improve translatability of results to humans, we are intensively researching various alternative methods.

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Three-dimensional vessel of an eye - P. Maloca (IOB Basel) / N.Denk (Roche)

One of these methods is to model human physiology outside the living organism, for example on a chip, or to use computer models to test the behaviour of a medicine in the body. Using such methods, Roche has reduced the number of animals in experimental use by almost 40% over the past eight years.

The entire human organism on one single chip

We have developed three-dimensional cell systems to observe new molecules – and their effects and side effects – directly on human cells outside the body, at an early stage.

Chip
Organ on a chip

Organs on a chip is among the latest developments and Roche is a world leader in this field. Flexible synthetic chips about the size of a USB stick serve as carriers for various human organ cell structures and can be used to screen drug candidates for efficacy and safety at a very early stage. The technology provides a sneak preview of a newly-discovered molecule and its potential effects on humans many years before it is used in a real human.

University researchers are close to being able to reflect almost the entire human organ system on chips.

The organs on a chip approach is still very new, but in future major advances should allow researchers to replace a great deal of animal testing in the early preclinical development stage.

Real world data makes models smarter

Laboratory experimentation and animal testing give us information on the effect of a new medicine and its distribution in the body. Computer models enable us to transfer those results to humans using complex simulations, allowing us to predict dosages and effects before direct human testing begins. In the context of these models we also use real world data. It is difficult to predict effects in humans since every patient has different features of a disease. If we can build in specific characteristics of different patient populations into a test model, we will be better able to anticipate the effects of a medicine in the human body. Currently, animal data is still required as a reference for computer models. Once real world data sources are more established, we will be able to reduce animal experiments even further.
 

Patient-derived organoids

With the help of patient-derived organoids we are able to model important aspects of a human organ outside a living organism. In this case, we mimicked critical parts of the gut and predicted adverse events of potential medicines in the human body. This promising approach minimises the number of animal experiments and studies while making preclinical drug development programmes more precise and predictive for clinical trials. The pictures on the top show an untreated organoid (left) where no toxicity is observed, as evidenced by a lack of signal from a fluorescent probe for cell death (right). In contrast, the pictures in the bottom depict organoid toxicity and cell death (green signal) based on drug intervention.