The Mouse Trap: The dangers of using one lab animal to study every disease
slate.com
slate.com
http://www.erowid.org/library/review/review.php?p=269
edit: This article completely misses out on some of the most interesting problems inherent in the mouse model. For example, the efficacy of drugs is very closely tied to cultural context, so you have all sorts of researchers trying to create cultural experiences for their mice in order to get better results. And because of course their papers won't get published if they include this information even though it's essential that they do these things, it means that none of these experiments are reproducible, i.e. they are no longer within the realm of science. Nor does the author really explain how the market-driven model for drug research is responsible for these distortions, nor does he fully discuss the fact that there are an enormous number of drugs that have been washed out that may actually be effective in humans, etc. I just saw a really good talk on this a few weeks ago, I'll submit it in a couple months when it's posted online.
Can you give an example please?
Cultural experiences was probably the wrong term, but basically what's happening is that large portions of the protocol, which are apparently essential to obtaining the results, can't actually be written about in the paper, meaning the results can't actually be reproduced. (Although if you actually look at the Rat Park experiments and think of each environmental factor in terms of the larger whole, perhaps culture is the best metaphor after all.)
And even if you completely standardized the handling of the mice, there are all sorts of reasons why they mice model is still dubious beyond the many reasons discussed by the article. For example, some researchers have reported a 'tall left-handed blonde effect', where the results can only be duplicated by tall left-handed blondes. I think this is why historically such a large percentage of our medicine is derived from plants originally used by shamans or that otherwise had a historical ethnobotanical use, and why even today so many of the most promising compounds are also things that come to the attention of scientists based on anecdotal evidence. (E.g. MDMA for PTSD, LSD for cluster headaches, cannabinoids for treating cancer, etc.)
My problem with this article and sentiment is that there is no good alternative suggested. I don't know enough about mouse research standards, but I would think that all these details should be targets of further research to understand the system better and make better protocols to control it, instead of the marathon of hand-wringing that I see in this article - most of it irrelevant to the model itself. Out of all the things discussed in the article, I literally cannot identify any actionable items. It's just a big discussion of various aspects of modern biology, framed in a contrarian manner.
Science is half about finding the problems in the present model and then everyone runs around and tries to find a solution to save it. They may even end up throwing the idea out and adopting a new one.
The whole problem that is being decried is that of following a rigid, fixed formula that tries to generalize for all cases. That of using the mouse model for everything, even those things for which it is not the best fit.
In software terms this is akin to Netflix's implementation of Chaos Monkey. Mainly that one shouldn't only check for certain failure conditions that have been previously specified, but to also create a framework where you try to look for faults in areas that are outside of the expected.
Secondly, the article completely ignores sequencing efforts - an astonishing oversight in my opinion. Obviously, we can't do genetic studies on humans, but inexpensive exome sequencing is rapidly allowing us to do observational studies in humans.
The same goes for medical research: if you want others to be able to use and build on your result, it needs to be comparable and reproducible. That is, others have to be able to run your methods (read: software) on their animal models (read: OS).
So when he says:
Perhaps the researchers have come to resemble their favored species: So complacent and sedentary in their methods, so well-fed on government grants, that any flaws in the model have gone unnoticed, sliding by like wonky widgets on a conveyor belt.
It's kind of grating. It's not just "easier" and "cheaper" -- it's fundamentally more useful to other scientists and that's worth acknowledging.
But at the end of the day the goal isn't just to produce results that are logically consistent with the results of other scientists, it's also to discover drugs that can be used to cure real human diseases. Using a mice monoculture model is really bad for this, because there are lots of drugs that would work great in humans but that never get tested because they don't work in mice, and similarly there are tons of drugs that we waste millions of dollars testing solely because they were effective in mice. When looking at the results of mice studies is less predictive of what will work in humans than just looking at anecdotal reports from people, then it means that the scientific model of drug development has basically become less effective than 'alternative medicine' as a source for new ideas, which is problematic for obvious reasons. I have no idea what percentage of drugs with a history of enthnobotanical usage end up being able to demonstrate real efficacy, but I can guarantee it's a hell of a lot better than the 10,000 to 1 figure cited by this article as the rate of drugs that successfully go from petri dish to mice to humans.
So then I think we have to ask ourselves, why are we spending our money on mice when actually going out into the rainforest and talking with indigenous people could be literally two orders of magnitude more cost effective. And, much more importantly, why are we genociding indigenous cultures in favor of 'scientific progress', when empirically preserving traditional knowledge is so much more conducive to real progress and understanding. Hundreds of thousands of people throughout history have been willing to die in order to at least try to figure out which drugs work and which don't with the very limited tools they had, so ignoring what they have to teach us is a tragic waste, especially since we probably aren't going to go back to sacrificing millions of people in the name of scientific research any time soon.
My wife does stroke research with mice, but she also has described the importance of using multiple models as a way to expose new facets of the same issue. Animal research is learning by approximation, so it's critical to find new ways to examine similar problems.
I first read that as transparent, and I though of the transparent line of zebrafish, and I imagined transparent marmosets and was about to google them when I realized it's transgenic.
And then I was kind of let down, and then I was embarrassed about being underwhelmed by transgenic primates!
This is not to say a primate or even a zebra finches may not be a better animal model for many diseases, just that we share a lot of DNA with mice so there is a lot of relevant information we can gain from continuing to study them. Which when combined with their low cost means it's reasonable to spend more time and money looking at mice than our closer relatives.
PS: There is a vary vary large but finite set of useful drugs we can discover. As a first pass approximation being able to consider 30x the candidates at the cost of doubling our false positive and false negative rates is probably worth it (for now). Eventually, I suspect we will be able to accurately simulate many diseases in software based on human DNA or even an individuals DNA at which point we may be able to revisit a lot of these false negatives for lower cost. Between now and then we will probably start looking at a larger array of animal models based on our understanding of an ever more detailed understanding of DNA. But, until we can actually debug diseases the old shotgun approach has a lot of merit.
For example, researchers seem to be evaluated by the number of papers written, number of publications and peer acknowledgement. These metrics favor the mouse model heavily, with its cheap and fast methodology. It also seems to promote behaviors that seem at odds with what should arguably be the end goal of the work: creating working drugs.
It paints a rather bleak picture of the establishment with that goal in mind, despite the best intentions.
And we constantly reference these studies with lab mice again and again for answers to human problems. It's a fraud.