n
the Special Topics analysis on Alzheimer’s disease research
over the past decade, Dr. Rudy Tanzi from Massachusetts
General Hospital ranked at #6, with 86 papers cited a total of
5,832 times on this subject. Dr. Tanzi is a co-author on the
papers ranked at #3, 7, and 9 on our list. In the ISI
Essential
Science Indicators
Web product, Dr. Tanzi has 39 papers cited a total of 5,233
times to date in the field of Neuroscience & Behavior, 24
papers cited 1,921 times to date in the field of Molecular
Biology & Genetics, and 27 papers cited a total of 1,547
times to date in the field of Biology & Biochemistry. Dr.
Tanzi is a Professor of Neurology in the Genetics and Aging
Unit at Massachusetts General. In this interview with Special
Topics correspondent Gary Taubes, Dr. Tanzi talks about his
highly cited work.
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Your
two most-cited papers were both in 1995: one in Science and one
in Nature. What was the motivation behind these papers and what
did they find?
This originally dates back to early 1987
when there were four different papers published describing the fact
that amyloid plaques are made up of amyloid beta protein derived
from the amyloid precursor protein (APP). The first mutation in the
amyloid precursor protein was found in 1991 by Blas Frangione’s
group. He found a mutation in APP that caused vascular dementia, a
vascular form of Alzheimer’s disease. Then John Hardy’s group in
England found another mutation in APP, responsible for a classic
form of early-onset Alzheimer’s. As it turns out, mutations in APP
are pretty rare. There are probably about 15 and they account for a
1% slice of Alzheimer’s disease—a small, small, small slice.
About 5% of Alzheimer’s disease strikes patients under 60 years of
age. The majority of those are familial, autosomal dominant forms of
Alzheimer’s. And APP is responsible for probably five or ten
percent of that 5%.
Now fast-forward to around 1992. We knew
that the bulk of early-onset familial Alzheimer’s is not due to
APP mutations. There had to be other genes and finding those genes
would shed a lot of light on the biology. A number of groups,
including a group collaborative with ours—my group was not the
major driver—found a linkage of Alzheimer’s disease to
chromosome 14. Between 1992 and 1995 there was a three-year race to
clone what looked like it would be a major early-onset gene on
chromosome 14. That ultimately led to the highly-cited Sherrington
paper in 1995. That represented a collaboration between Peter Hyslop’s
lab—he is the last author—where Sherrington was a post-doc, and
our group, and a number of other groups, as well.
This gene encoded a protein the likes of
which we’d never seen before. It had a few homologies here and
there with other genes in C. elegans, but for the most part
we could only guess about its function. It was a protein with
multiple transmembrane domains. It was serpentine; it snaked in and
out of the membrane eight times. We named it presenilin-1, because
of pre-senile dementia. Now we know of about 140 autosomal-dominant,
fully-penetrant mutations in presenilin that cause this early-onset
form of Alzheimer’s, usually familial. As it turns out, about 1%
of all Alzheimer’s cases occur before age 50, and in that 1%, the
vast majority are due to presenilin mutations. If you have a case
come in under 50 years of age, the first thing you do is look at
presenilin.
After presenilin-1, we pulled out a cDNA for
what turned out to be homologue for presenilin-1, called
presenilin-2, which mapped to chromosome 1. I knew Gerry
Schellenberg; he is the second-to-last author on the Levy-Lahad
paper. I knew he had a paper submitted and that he might have also
talked about a linkage he had for another familial Alzheimer’s
disease locus on chromosome 1, and so I called him up and told him
that we just found a homologue of presenilin-1 on chromosome 1 and
it might be his gene. So we looked to see if this gene mapped
specifically in the little tiny region of chromosome 1 where he knew
his gene should be and sure enough it did. And around the same time
both of our labs came across an amino acid mutation that showed that
presenilin-2 was an Alzheimer’s gene. So we published that with
two first authors, one from his group, Levy-Lahad, and one from
ours, Wasco.
So
this was an effort to make sure credit was properly shared by the two
labs?
I’ll tell you a funny story about that. We
both got the mutation around the same time, but the way things were
we wanted to make sure one group wasn’t piggy-backing off the
other—in other words, one lab just saying "we see it,
too." We arranged it so that when he told me he had the
mutation, and I told him we had the same thing, that same day I had
to FedEx him the autoradiograph of the sequencing gel. That way he
could be sure we had it, too.
Where
do these Alzheimer’s genes leave you in terms of understanding the
genetic basis and underlying biology of the disease?
As of 1995 we had identified three different
genes that can cause early-onset familial Alzheimer’s disease. And
yet these three mutations still only account for about half of
early-onset disease. So we still have to find the genes responsible
for the other half.
Of those three genes we know of, there are
probably about 140 mutations of presenilin-1, eight in presinilin-2,
and 15 or 16 in APP. That list is growing; what we have learned
since then is that all these mutations, with very few exceptions, do
the same thing. They increase in the brain the ratio of amyloid beta
42 to amyloid beta 40.
What’s
the significance of that ratio?
If you look at amyloid beta in the brain,
about 90 percent is amyloid beta 40, and the remaining 10 percent
has two extra amino acids on the C terminus, making it amyloid beta
42. Amyloid beta 42 is the main culprit of the disease. It forms
amyloid much more readily. It’s harder for the brain to clear
away. It’s more toxic. What we learned is that even small
increases in how much amyloid beta 42 you make, relative to amyloid
beta 40, causes problems. It’s not the absolute increase in 42; it’s
the ratio. If this is increased even slightly, just 10, 20, or 30
percent, compared to amyloid beta 40, it is enough to cause
early-onset Alzheimer’s disease. Some of the presenilin-1
mutations, for instance, can cause Alzheimer’s disease as early as
the late teens or early 20’s, and in those we see a pretty robust
effect on the 42 to 40 ratio going up.
What
are the clinical implications?
This has been a great clue for drug
development. A lot of drugs are designed to just go in and hit
amyloid beta. My opinion is if you want a laser strike with the
least side effects, you go in and hit amyloid beta 42. And I have
started a company in San Diego to do just that, to find drugs to
reverse what the genetics tell us is happening. The genetics say
that the ratio of 42 to 40 is critical. I argue the safest and most
specific drug is the one that goes in and hits 42 and tries to
decrease that ratio.
What
is the biggest challenge in doing this research?
Before I get into that let me tell you about
one other thing we’re doing here. We have a huge genetics and
genomics program, which is funded by the National Institute of
Mental Health and the National Institute of Aging, devoted to
finding all the other Alzheimer’s disease genes. We’re making
great progress. We’ve just published a genome screen showing the
locations of the remaining genes, and we have candidate genes on
several different chromosomes. This is all a work in progress. And
some of this has been submitted for publication. So if you go from
major genes to minor genes and modifiers, we’re probably looking
at least a couple of dozen genes involved. I’m hoping that within
five to ten years—and I think this is being pretty realistic—we
will have enough genetic data to reliably predict who is at the
greatest risk for the disease. But if you can predict the disease,
you have to empower those individuals with a prophylactic strategy.
That’s where the drugs come in. So genetics on the one hand allows
us to make progress predicting the disease, and on the other hand
allows us to discover drugs best suited for those at risk for a
given genetic factor. The mantra we have here is that the goal is
early prediction, early prevention.
When I give talks to wider audiences, I
usually say that 50 years from now, with the advent of progress of
genomic medicine, we will look back at the times when we waited for
diseases like Alzheimer’s, diabetes, and cancer to strike first
before we treated them and we will see that as barbaric. We will no
longer have to wait for diseases to strike. For the big four
age-related diseases—Alzheimer’s, diabetes, heart disease, and
cancer—we will predict early and prevent, and we will customize
treatment to match the genetic profile.
That said, the biggest challenge, far and
away, is funding. I don’t mean to be shallow, but the number one
challenge is having to spend so much time and effort just to obtain
the funding to do the things we know we need to do. There’s so
much we know we have to do, and we know how many people it will
take, and we know how much time it will take to get it done, and the
limiting factor on that progress is funding. And the greatest
distraction to spending time getting that science done, is having to
constantly spend time writing grants and progress reports. When you
should be using your brain for creative ideas, you’re using it to
obtain funding. That’s the biggest challenge.
Well,
once you’re in the laboratory, what do you see as the biggest
challenge to the research itself?
In terms of the science itself, I think the biggest challenge is
prioritization. Many of us have so many ideas and can freely
associate so many different possible scenarios and hypotheses, that
we really have to step back every few days and just prioritize the
ideas. You have to find that fine line between focus and having a
large enough cadre of ideas that you don’t miss the real answer.
That is the toughest line to find. You have to cast a broad net to
catch whatever might be going on, but then you still have to
prioritize and focus on what you really should be doing. And here’s
an addendum to that, and I teach this to all my students and
post-docs: whenever you decide which hypothesis is the most
compelling, the most attractive, the one you really like the best,
your only goal has to be to exclude that hypothesis. When you go
into the lab, like a boxer, your goal should only be to go in and
knock it out. People don’t do that. A lot of scientists go in—and
it kills me whenever I hear a scientist say this—and they say we
went in to try to prove our hypothesis. I tell my people that their
job is to treat their favored hypothesis as though it belongs to
their worst enemy who just scooped them, stole their discovery, and
all they really want to do is vehemently show that this hypothesis
is absolute bull. That’s how you do discovery. So the challenge is
casting a broad net, prioritizing your hypotheses, focusing, and
then, when in the lab, constantly reminding yourself that your job
is to exclude your hypothesis, not prove it true.
Rudolph E. Tanzi, Ph.D.
Massachusetts General Hospital
Genetics and Aging Unit
Charlestown, MA, USA
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ESI Special Topics,
July 2003
Citing URL - http://www.esi-topics.com/alzheimer/interviews/RudolphETanzi.html
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