Alternative methods are not only welcome, valuable and used wherever possible in biomedical research, but also continue to be developed. However, it would be naive to believe that they will make animal testing unnecessary in biomedical research. Animal testing is necessary when physiological connections and their disorders in the body have to be clarified. This includes studies of the central nervous system and the processing of sensory stimuli, the interaction of the circulatory system, the digestive system, the hormonal system, the immune system and the principles of behavior. When considering whether to approve animal testing, the authorities check whether the trial is indispensable or whether the envisaged information can be obtained without the use of animals.
Alternative methods are ideally processes that dispense completely with the use of animals. Here, this is mainly work with cell lines. This is in fact an ideal – since the complexity of an organism, i.e. the interaction of organs and tissue, cannot be completely replaced with artificial systems. Experimental methods outside the organism, in vitro (literally “in the glass”, i.e. in test tubes) processes, already play a major part in research and research funding. But despite all the progress in this area, these processes cannot replace the intact organism, and its reactions must in the end be clarified in vivo (literally “in life”), i.e. in animal trials. In any case, animals have to be killed for the production of organ and cell cultures. To cultivate cell lines, calf serum from animals for slaughter is often needed as a nutrient to stimulate division, growth and differentiation of the cells.
As well as cell lines, computer simulations can also complement animal testing. These are used in biomedical research to map hypotheses about vital processes and test them using theoretical models. This technology is often used in neurobiology to depict functions of the central nervous system. However, in the end the outcomes of the simulation have to be checked in animal trials. Computer simulations are only possible when we already have information about the system that needs mapping, which can be ‘fed’ to the computer. Until now it has not been possible to obtain this information in any other way than trials in the living organism. In addition, every computer simulation has to be simplified because otherwise it would fail simply when confronted with the complexity of an individual cell. Yet the human brain does not consist of one nerve cell but of 86 billion with up to 1000 interlinking connections, which in turn are networked with numerous individual contact points. It is the most complex structure we know.