for life on earth x 500 = 250,000 different pairs of combinations of sequences and tool kit...
TRANSCRIPT
1
For Life On Earth
presents a summary of
Current Understanding of Evolutionary Biology
as illustrated by Animal Models in Light of Evolution (2009), Drs Ray Greek MD and Niall
Shanks PhD, together with additional data from other experts. All the following quotations in
italics (with chapter and page numbers) are from the same author’s FAQs about the Use of
Animals in Science: a Handbook for the Scientifically Perplexed (2009).
Modern Genetics and Molecular Biology Because the Theory of Evolution is the single organizing principle of
modern biology, it enables us to put the facts of biology in their
proper places and gives us the overarching theoretical framework for
understanding the how’s and why’s of the remarkable similarities—
and at the same time the profound differences—of all living things on
earth. (Chapter 3, p 35)
When Darwin put forward his theory of evolution, he observed that the
characteristics of organisms might change during the process of being
passed on to offspring. However, because the principles of genetics
were not yet known, he could not explain how or why these changes
occurred. More recently, the advent of modern genetics and molecular
biology has informed our understanding of how evolution operates at
the molecular level. (Chapter 3, p 37)
The Theory of Evolution provides us a theoretical framework while
advancements in genetic and molecular biology provide the empirical
data as to why animals cannot adequately predict human drug and
disease response. Mice are unique and interesting creatures in their
own right, they are not simply men writ small! (Chapter 4, p 49)
At the subcellular and genetic level, where the vast
majority of research is now taking place organizational
differences between animals and humans outweigh the
similarities in ways that are relevant to a discussion about
prediction. (Chapter 4, p 49)
2
What defines prediction? In science,
guessing correctly or finding correlations are
not the same as predicting the answer. A
fundamental part of any theory or practice
claiming predictability is its ability to predict
the result of an experiment that has not yet
been done. This concept separates the
scientific use of the word predict from the lay
use of the word, which more closely
resembles words such as guess and
conjecture. (Chapter 4, p 51)
Sean Carroll Endless Forms Most Beautiful:
The whole tool kit of an animal contains several hundred or so
different DNA-binding proteins, most with different signature
preferences. There are an astronomical number of potential
combinations of signature sequences in switches. If we assume
a tool kit of 500 DNA-binding proteins in an animal, there are
500 x 500 = 250,000 different pairs of combinations of
sequences and tool kit proteins. There are [25,000]00 x 500 =
12,500,000 different three-way combinations and over 6 billion
different four-way combinations. These calculations illustrate
the power of combinatorial logic of the tool kit and genetic
switches…
This simple example illustrates well why different individuals even of the same species respond
differently to the same stimuli, say a medicine. You may metabolize a medicine rapidly while another
person metabolizes it slowly; therefore, the safe and/or effective dose will be different for each of
you. You may be allergic to penicillin, even though your mother is not. You may be susceptible to AIDS
or lung cancer while your cousin is not. Even monozygotic (formerly called identical) twins suffer from
different diseases. (Chapter 3, p 44)
Differently organised intact systems: Humans and the animals used to model them exhibit causally relevant organizational differences. Mice and men may be intact systems, but they are differently organized intact systems. The line leading to modern mice diverged from the line leading to modern humans about 70 million years ago – for 140 million years of independent evolution and adaptation to diverse challenges posed by nature. From the standpoint of evolutionary biology, it is frankly bizarre to suppose that having pursued such divergent evolutionary trajectories, mice are men writ small. (See Animal Models in Light of Evolution for a more detailed discussion of these matters). (Chapter 4, p 60)
Dr Charlotte Uhlenbroek with orang-utan in Borneo
3
Science thrives on open discussion and debate
In September 2000, BBC Radio 3’s The Today
Programme broadcast an historic live interview
with one of the authors of Animal Models in
Light of Evolution, Dr Ray Greek, together with
Professor Colin Blakemore, a leading
proponent of animal experiments. Professor
Blakemore had been requesting for some
months that “the opposition abandon
uninformed argument and engage in open,
solid and transparent dialogue”. The interview, presented by acclaimed broadcaster Sue McGregor,
centred around an invitation by Dr Greek extended to Professor Blakemore, requesting that he take
part in a series of five to seven live radio debates covering all areas of human illness, to enable the
public to hear that there is scientific opposition to the use of animals as predictive models for human
response. Professor Blakemore refused to take part in this debate; instead he invited Dr Greek to a
closed group at Oxford University - The Boyd Group – which would not have allowed the British
public to hear, or actively participate in, this event.
Those who claim that animal models are predictive must demonstrate that this claim is correct. The
evidential burden of proof resides with those who make the claims. (Chapter 4, p 51)
There are many ways in which animals can be used
in science that are scientifically valid.
However, this does not include animal models being predictive for
human response to chemicals, medicines and diseases. The following
is a précis of the list on page 1, chapter 1 of the FAQs book.
Scientifically valid uses include the use of animals as “spare parts”,
such as when a person receives an aortic valve from a pig. Animals can
be used as bioreactors or factories, such as for the production of
insulin or monoclonal antibodies, or to maintain the supply of a virus.
Animals and animal tissue can also be used to study basic physiological
principles and are used in education to educate and train medical students and to teach basic
principles of anatomy in high school biology classes. Animals can be used as a modality for ideas or
as a heuristic device, which is a component of basic science research and can be used in research
designed to benefit other animals of the same species or breed. Animals can also be used in research
in order to gain knowledge for knowledge sake. (Chapter 1, p 1)
From animals we can learn that cells are common building blocks of tissues, the way blood circulates,
that life consists primarily of carbon, oxygen, hydrogen, and nitrogen, what an immune system is,
and so forth. As long as the questions concern basic heritable properties, we can and have learned
things from using animals. (Chapter 3, p 46) Science has learned much about the way the body plan
4
goes together by studying fruit flies. But as your examination becomes finer, for example seeking the
mechanism by which HIV enters the cell, then the differences begin to outweigh the similarities.
Today, the questions we’re asking are not so simple. In fact, they’re incredibly complex. Advances in
technology enable us to study human disease at the genetic level. And that is precisely where species
differentiation is most pronounced. Rather than studying what makes us similar, we’re studying what
makes us different. (Chapter 3, p 47)
SUPPORTING EXPERT RECOGNITION
David F. Horrobin wrote in Nature Reviews Drug Discovery (2003):
animal models — including those of inflammation, vascular
disease, nervous system diseases and so on — represent nothing
more than an extraordinary, and in most cases irrational, leap of
faith. We have a human disease, and we have an animal model
which in some vague and almost certainly superficial way reflects
the human disease. We operate on the unjustified assumption that the two are congruent…there is
little rationale for using animal models which frequently simply draw attention and funds away from
the careful investigation of the human condition.
January 12, 2006 (FDA), then U.S. Secretary of Health and Human Services Mike Leavitt: Currently,
nine out of ten experimental drugs fail in clinical studies because we cannot accurately predict how
they will behave in people based on laboratory and animal studies.
Kola and Landis wrote in Nature Reviews Drug Discovery (2004): The major causes of attrition in the
clinic in 2000 were lack of efficacy (accounting for approximately 30% of failures)…animal models of
efficacy are notoriously unpredictive.
Dr. Francis Collins, the director of the National Institutes of Health (NIH)…said about half of drugs
that work in animals may turn out to be toxic for people.(Reuters 2011)
Leaf also quotes Homer Pearce, ‘who once ran cancer research and clinical investigation at Eli Lilly
and is now research fellow at the drug company’, as saying “that mouse models are “woefully
inadequate” for determining whether a drug will work in humans. “If you look at the millions and
millions and millions of mice that have been cured, and you compare that to the relative success, or
lack thereof, that we’ve achieved in the treatment of metastatic disease clinically,” he says, “you
realize that there just has to be something wrong with those models.” (Leaf 2004)
Alan Oliff, former executive director for cancer research at Merck Research
Laboratories in West Point, Pennsylvania stated in 1997: “The fundamental
problem in drug discovery for cancer is that the [animal] model systems are
not predictive at all.” (Gura 1997)
Handbook of Laboratory Animal Science Volume II Animal Models: ‘It is
impossible to give reliable general rules for the validity of extrapolation from
one species to another. This…can often only be verified after the first trials in
the target species (humans)…Extrapolation from animal models…will always
remain a matter of hindsight’ (Salén 1994, p6).
Toxic Waste report, courtesy IPPL
5
THE EXORBITANT FINANCIAL COST
Robert Weinberg, of Massachusetts Institute of Technology, was quoted by Leaf in Fortune
magazine (2004) as saying: “And it’s been well known for more than a decade, maybe two decades,
that many of these preclinical human cancer models have very little predictive power in terms of
how actual human beings—actual human tumors inside patients—will respond . . . preclinical
models of human cancer, in large part, stink . . . hundreds of millions of dollars are being wasted
every year by drug companies using these [animal] models.
In an editorial introduction to one article by Ellis and Fidler and another by Van Dyke (Van Dyke 2010), the editors of Nature Medicine stated: The complexity of human metastatic cancer is difficult to mimic in mouse models. As a consequence, seemingly successful studies in murine models do not translate into success in late phases of clinical trials, pouring money, time and people’s hope down the drain. (Ellis and Fidler 2010) April, 2010, issue of The Scientist: It’s been estimated that cancer drugs that enter clinical testing
have a 95 percent rate of failing to make it to market, in comparison to the 89 percent failure rate
for all therapies . . . Indeed, “we had loads of models that were not predictive, that were [in fact]
seriously misleading,” says NCI’s Marks, also head of the Mouse Models of Human Cancers
Consortium (Zielinska 2010)
The Editors of Nature Reviews Drug Discovery wrote in 2011: “Unpredicted drug toxicities remain a leading cause of attrition in clinical trials and are a major complication of drug therapy.” (Editors 2011) “Fewer than 10% of new drugs entering clinical trials in the period from 1970 to 1990 achieved FDA approval for marketing, and animal models seemed unreliable in predicting clinical success” (Chabner and Roberts 2005)
Usha Sankar in The Scientist 2005: The typical compound entering a Phase I clinical trial has been
through roughly a decade of rigorous pre-clinical testing, but still only has an 8% chance of reaching
the market. Rats and humans are 90% identical at the genetic level, notes Howard Jacob, cofounder
of Wauwatosa, Wisconsin-based PhysioGenix. However, the majority of the drugs shown to be safe
in animals end up failing in clinical trials. "There is only 10% predictive power, since 90% of drugs fail
in the human trials" in the traditional toxicology tests involving rats, says Jacob. (Emphasis added).
Dr Andre Menache director of Antidote Europe and author of the Toxic Waste primate report:
“REACH deals with the Registration, Evaluation, Authorisation and Restriction of Chemical
substances. To study a single chemical using animals it will cost REACH in the region of 3 million
euros per compound. Using human biology-based toxicogenomics will cost about 100 times less”.
Drs Greek and Shanks FAQs p 13 and 15 This (1985) is an old table but is still the most recent record
of the amount of money spent by NIH on experiments involving animals. Since 1985 basic research
has if anything become more connected with animal-based research, which receives the lion’s share
of grants.... With roughly two-thirds of research dollars going to basic research and most basic
research using animals we can safely confirm the 1985 numbers of at least 50 percent of research
dollars going to animal-based studies. If we assume a $30 billion dollar NIH budget, one can estimate
tens of billions annually are spent on animal-based studies from NIH alone.
6
OUR POSITION
FOR LIFE ON EARTH supports modern, human biology-based methods that can protect the
safety of humans by providing data relevant to precisely the species in question. We hold the
distinct position that animal models need to be abandoned without hesitation on the strength of
current factual evidence best illustrated by Animal Models In Light Of Evolution, together with
additional supporting expert recognition. FOR LIFE ON EARTH presents the crucial
significance evolutionary biology holds for medical research, as outlined by AFMA/EFMA
(Americans and Europeans for Medical Advancement) whose position is as follows:
AFMA/EFMA opposes animal models as a modality for predicting or seeking cures and treatments for
human disease based on overwhelming scientific evidence that animal models are not predictive for
humans while acknowledging that animals can be successfully used in science in other ways.
AFMA/EFMA is frequently accused by those who advocate animal-based studies as being an animal
rights group, and this accusation is used as an ad hominem attack. For example, in their book The
Animal Research War, Conn and Parker list AFMA under animal rights organizations. The reason for
this can only be that such people are trying to confuse people who are
not familiar with AFMA/EFMA. Our scientific arguments are sound and
our position on ethics-related issues is also well known; AFMA/EFMA
does not oppose the use of animals in science, but does oppose the
use of scientifically invalid methodologies be they animal-based or
otherwise. We take no position on issues relating to the ethics of
using animals. (Emphasis added)
Science is the opposite of dogmatic adherence to unfounded beliefs.
Whereas dogmatism demands that its constituency not question the
beliefs of the system, science welcomes and even initiates questioning.
Followers of dogma are taught not to study it, nor examine its
veracity, nor weigh whether alternative explanations better explain
the system governed by the dogma. They cannot debate the fundamentals upon which the system is
based. They are taught unquestioning belief, not to search for truth.
Science, on the other hand, withstands questioning from every
quarter. In any forum, all experts’ opinions bear consideration,
and that consideration will through consensus, determine the
present understanding of truth. German philosopher Jürgen
Habermas stressed “the importance of public debate and
rational consensus for preventing the domination of society by
one group of interests. Consensus suffers inaccuracy when
relevant opinions are suppressed.” (Chapter 10, p 138
7
The Animals in Scientific Procedures Act
The Home Office’s position
as outlined on its website:
The development of drugs and medical
technologies that help to reduce suffering among
humans and animals depends on the carefully
regulated use of animals for research.
EFMA/AFMA:
If the claimant is saying that animals were necessary then he needs to support that claim with
evidence and argumentation…In fact, demonstrating that a medical science discovery could only
have been made by using animals—that animals were necessary (not merely useful or important as a
contingent, accidental fact of history)—is a very tricky proposition. Simply pointing to examples is not
enough. The claimant must show that the discovery in question could not have been made any other
way. This must be done for the claimant to say the discovery was necessarily dependent on animal
use. (Chapter 4, p 61)
Conclusion (Chapter 10, p 132)
All vertebrates are examples of evolved complex systems. Restricting our attention to mammals, this
means that humans and mice (say) have taken divergent evolutionary trajectories in which, in the
course of evolutionary time (70 million years since divergence of the respective lineages) causally
relevant differences have accumulated between the species to the extent that there is no reason to
suppose that the latter (mice) can serve as predictive models for the former (humans). We explore
this matter from the standpoint of both evidence and basic biological theory.
Living complex systems also manifest different responses to the same stimuli due to: (1) differences
with respect to genes present; (2) differences with respect to mutations in the same gene (where one
species has an ortholog of a gene found in
another); (3) differences with respect to
proteins and protein activity; (4) differences
with respect to gene regulation; (5)
differences in gene expression; (6)
differences in protein-protein interactions;
(7) differences in genetic networks; (8)
differences with respect to organismal
organization (humans and rats may be
intact systems, but may be differently
intact); (9) differences in environmental
exposures; and last but not least (10)
differences with respect to evolutionary
8
histories. These are some of the important reasons why members of one species often respond
differently to drugs and toxins, and experience different diseases. These are the kinds of differences
that are relevant to an assessment of animals as predictive models.
Therefore, we now understand why even two very similar complex systems (e.g. a chimpanzee and a
human, or even monozygotic twins) may respond differently to drugs and experience different
diseases, and hence why one complex system/species cannot reliably predict responses for another.
Current biomedical research is studying disease and drug response at the level where the differences
between complex systems (be they two different species or two different humans) become highly
significant from a biological point of view, hence using animals (e.g. vertebrates) as predictive causal
analogical models for human disease and drug testing may eventually be replaced with methods that
are biomedically effective. Immense empirical evidence supports this position.
So-called less complex organisms (e.g. C. elegans, E. coli, Drosophila, and S. cerevisiae) are very
useful, however, for discovering, among other things, genes that produce the core processes of living
systems.
Animals such as vertebrates can be viably used as a modality for ideas, education, a source of spare
parts, incubators, factories and growth media, for the study of diseases affecting the same species,
to study basic biological principles, and axiomatically, to add knowledge to the world. (Chapter 10, p
132)
FOR LIFE ON EARTH (FLOE) presents evidence from current science that needs to
be examined closely by all of those responsible for administering The Animals in
Scientific Procedures Act (ASPA).
Science now shows us why the ASPA - in its present wording – does not protect human
health and lacks up-to-date understanding of the principles of evolutionary biology. It is
therefore the position of FLOE that the ASPA can no longer be justified in providing
guidance for the continued use of non-human laboratory animals as predictive models
for human response to chemicals, medicines and diseases.
FOR LIFE ON EARTH is an alliance presented by
advocates for human health, including patients and
their families, primatologist and television wildlife
presenter Dr Charlotte Uhlenbroek PhD and the
support of The Beagle Association.
Science illustrated by
Animal Models in Light Of Evolution
www.afma-curedisease.org
www.forlifeonearth.org