This image is licenced under the Wikimedia Commons. Author: DataBase Center for Life Science (DBCLS)

 Valid model for depression?

Discussion surrounding the FST has been around for a while. Primarily due to the severity of the test and its impact on animal welfare, the FST has come under considerable scrutiny. Also its scientific utility as a depression model is debated, as there is a lack of neurobiological correlation between the behaviors measured in this test, and the human situation.

This discussion was also raised in a recent paper written in part by the staff of the National Centre for the Replacement, Refinement and Reduction of Animals in Research (NC3Rs) in the United Kingdom (UK) [4]. They address misconceptions and provide clarification about the use of the FST as a regulatory requirement for the development of new antidepressants.

As a result of researchers using regulatory requirement as justification for the continued use of the FST, the authors of this paper clarified that this is not stipulated by regulators. These authorities are pushing to refine in vivo tests and alternatives to increase animal welfare while retaining robustness and translational validity.

3R funding

The NC3Rs has a number of funding possibilities aimed specifically at the 3Rs (replacement, refinement and reduction) to promote future advancements in this context. Wellcome is another UK based foundation involved in 3R funding, but other countries, for example Germany and Sweden (applications closed), also promote this.

Should we still use the FST?

It is important to compartmentalize the discussion surrounding the FST, as it still remains an important scientific tool in academia, drug discovery and the research industry where high throughput screening of novel compounds is essential. The FST is still a test with a considerable level of predictive validity, however should definitely not be considered a full spectrum analog of human depression.

The outcomes of the FST are one-dimensional, however the implementation is also relatively simple and inexpensive. This is an extremely important trade-off to consider, but should not devalue the usefulness of the FST as a drug discovery and validation tool. Full disease models, analog to humans, are very difficult (if not impossible) to approach. Usually a model approaches a specific subset of symptoms, which can then be investigated separately, gaining a piece-by-piece understanding of its underlying mechanism.

Lastly, due to the wealth of data regarding the effects of antidepressants in the FST, researchers are able to compare and contrast their own results with others. This becomes even more so due to advancements in behavioral scoring software and standardized setups.