Confidence in preclinical research
EDITORIAL
Focus on Reproducibility
Confidence in preclinical research
© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
F
or decades, model organisms have provided an
important reductionist approach for understanding
the mechanistic basis of human diseases. With
developments in methods like CRISPR/Cas9, optogenetics
and next generation sequencing, researchers can now
measure and manipulate whole organisms as never before,
opening up new avenues for human disease modeling in
animals. But in pursuing these avenues, we must confront
a stubborn fact: translational success of biomedical
research using disease models in key therapeutic areas,
like cancer and psychiatric disease, is abysmally low.
While there are several potential reasons why positive
results from an animal model might not hold up in
humans—models will always have their limitations—
there’s growing evidence that our troubles with
translation start early on in the research pipeline. Too
often, investigators are unable to reproduce key findings
from previous basic or preclinical studies, a prerequisite
step on the long road to clinical translation. Although
not guaranteeing clinical success, getting out of what
some are calling a ‘reproducibility crisis’ in biomedical
research is a logical first step towards improving the rate
of therapeutic translation.
In this special Focus, Lab Animal presents several
reviews, perspectives and commentaries addressing
topics that affect the reproducibility and translation of
results from disease models. The articles are connected
by a common message: some of our current practices
using animal models are flawed and can lead not only to
irreproducible results, but failures to validate models and
translate findings from the lab to the clinic (see page 103).
The rodent microbiome provides a great example of the
complexity researchers encounter—whether they know
it or not—when modeling human disease and trying to
reproduce results obtained in another lab or institution
(see page 114). Our increasing knowledge of the consortia
of microorganisms living in man and mouse, and how
those consortia impact biological function, provides
exciting opportunities to develop better and more relevant
models of complex human disease states. But as we delve
deeper into the microbiome, we are still finding more
questions than answers. Fortunately, researchers are
LabAnimal
making strides in their efforts to understand and control
for the complexity of the microbiome in rodent models
(see page 114)
Similar to the microbiome, other ‘hidden’ variables can
affect the robustness of results with mice or rats. Rodent
models are susceptible to stress, and vivariums and labs
can be stressful environments (see pages 136 and 142).
Regardless of what disease is being modeled, significant
amounts of uncontrolled stress are likely to influence
study outcomes. Rodent pain models can be affected
by stress, causing significant changes in measured pain
sensitivity (see page 136). Specific sources of stress, like
thermal stress in the vivarium, can be detrimental to
cancer modeling in mice (see page 142).
While identifying these sources of stress is important,
developing useful methods to reduce stress is also critical.
Providing mice with more behavioral control over their
environment, for instance with nesting material for selfregulation of body temperature according to the changing
needs of the animal, is a good example of a relatively
simple and ‘low-tech’ solution that not only improves
model validity, but also improves welfare (see page 142).
More researchers should also consider that rodents
are social creatures and form complex social hierarchies
in their homecages. Although aggression is a natural
by-product of these hierarchies, when groups of rodents
are confined to a typical vivarium homecage, aggression
can lead to injury and unpredictable variation in stress
levels between animals (see page 157). Methods and
research to monitor and understand factors influencing
rodent homecage aggression (see Lab Anim (NY) 46, 176–
184; 2017) could help scientists incorporate aggression as
a variable into their analysis and potentially improve the
reproducibility of their findings.
Problems with reproducibility and translation also
extend beyond the lab and vivarium. Regulatory and
policy factors, such as the weights given to harm vs.
benefit during ethical review of a study (see page 164),
or the responsibilities of an IACUC beyond protocol review
(see page 129), can also play an important role in shaping
the reproducibility of basic and preclinical research with
animal models. And once a new model is developed, our
Volume 46, No. 4 | APRIL 2017 101
EDITORIAL
models has been and will always be complex, and to
improve our confidence in results, we must tackle these
complexities head on, no matter wherein they lie.
This Focus is provided free to interested readers via
sponsorship from Taconic Biosciences and Charles River
Laboratories, for which we are grateful. Lab Animal retains
sole responsibility for the content.
© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
current business practices of sharing those models can
hinder access for scientists in academia and biotech,
limiting their ability to validate and push forward those
models in pursuit of drug development (see page 162)
Lab Animal hopes readers will take away some important
new knowledge from this Focus, but most of all, a renewed
sense that basic and preclinical research with animal
Focus on Reproducibility
102 Volume 46, No. 4 | APRIL 2017
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