ABOUT THE SPEAKER
Francis Collins - Geneticist, physician
A key player in the US' new brain-mapping project, Francis Collins is director of the National Institutes of Health.

Why you should listen

In 2000 the world saw the first working draft of the human genome, and that's in no small part thanks to Francis Collins. Under his directorship at the National Human Genome Research Institute, the Human Genome Project was finished, a complete mapping of all 20,500 genes in the human genome, with a high-quality, reference sequence published in April 2003.

In 2009 President Obama nominated Collins as the director of the National Institutes of Health, and later that year he was confirmed by the U.S. Senate. In March 2013, Collins helped Obama introduce the BRAIN Initiative, an ambitious, well-funded program to map the human brain. Read more about the BRAIN Initiative >>

Collins is also a self-described serious Christian and the author of several books on science and faith, including The Language of God: A Scientist Presents Evidence for Belief.

More profile about the speaker
Francis Collins | Speaker | TED.com
TEDMED 2012

Francis Collins: We need better drugs -- now

Filmed:
898,302 views

Today we know the molecular cause of 4,000 diseases, but treatments are available for only 250 of them. So what's taking so long? Geneticist and physician Francis Collins explains why systematic drug discovery is imperative, even for rare and complex diseases, and offers a few solutions -- like teaching old drugs new tricks.
- Geneticist, physician
A key player in the US' new brain-mapping project, Francis Collins is director of the National Institutes of Health. Full bio

Double-click the English transcript below to play the video.

00:16
So let me ask for a show of hands.
0
723
2176
00:18
How many people here are over the age of 48?
1
2899
4192
00:22
Well, there do seem to be a few.
2
7091
2881
00:25
Well, congratulations,
3
9972
2175
00:28
because if you look at this particular slide of U.S. life expectancy,
4
12147
3870
00:31
you are now in excess of the average life span
5
16017
3098
00:35
of somebody who was born in 1900.
6
19115
2787
00:37
But look what happened in the course of that century.
7
21902
3534
00:41
If you follow that curve,
8
25436
1662
00:42
you'll see that it starts way down there.
9
27098
2614
00:45
There's that dip there for the 1918 flu.
10
29712
2469
00:48
And here we are at 2010,
11
32181
2422
00:50
average life expectancy of a child born today, age 79,
12
34603
3056
00:53
and we are not done yet.
13
37659
1896
00:55
Now, that's the good news.
14
39555
1335
00:56
But there's still a lot of work to do.
15
40890
1841
00:58
So, for instance, if you ask,
16
42731
1634
01:00
how many diseases do we now know
17
44365
2726
01:02
the exact molecular basis?
18
47091
2059
01:05
Turns out it's about 4,000, which is pretty amazing,
19
49150
3558
01:08
because most of those molecular discoveries
20
52708
2236
01:10
have just happened in the last little while.
21
54944
2665
01:13
It's exciting to see that in terms of what we've learned,
22
57609
3296
01:16
but how many of those 4,000 diseases
23
60905
2107
01:18
now have treatments available?
24
63012
2348
01:21
Only about 250.
25
65360
1888
01:23
So we have this huge challenge, this huge gap.
26
67248
2758
01:25
You would think this wouldn't be too hard,
27
70006
2580
01:28
that we would simply have the ability
28
72586
1526
01:30
to take this fundamental information that we're learning
29
74112
3026
01:33
about how it is that basic biology teaches us
30
77138
3145
01:36
about the causes of disease
31
80283
1902
01:38
and build a bridge across this yawning gap
32
82185
3026
01:41
between what we've learned about basic science
33
85211
2380
01:43
and its application,
34
87591
1495
01:44
a bridge that would look maybe something like this,
35
89086
3257
01:48
where you'd have to put together a nice shiny way
36
92343
3612
01:51
to get from one side to the other.
37
95955
2968
01:54
Well, wouldn't it be nice if it was that easy?
38
98923
2600
01:57
Unfortunately, it's not.
39
101523
2145
01:59
In reality, trying to go from fundamental knowledge
40
103668
2591
02:02
to its application is more like this.
41
106259
2664
02:04
There are no shiny bridges.
42
108923
1915
02:06
You sort of place your bets.
43
110838
1652
02:08
Maybe you've got a swimmer and a rowboat
44
112490
1961
02:10
and a sailboat and a tugboat
45
114451
1524
02:11
and you set them off on their way,
46
115975
1728
02:13
and the rains come and the lightning flashes,
47
117703
2664
02:16
and oh my gosh, there are sharks in the water
48
120367
1514
02:17
and the swimmer gets into trouble,
49
121881
2021
02:19
and, uh oh, the swimmer drowned
50
123902
1584
02:21
and the sailboat capsized,
51
125486
3212
02:24
and that tugboat, well, it hit the rocks,
52
128698
1701
02:26
and maybe if you're lucky, somebody gets across.
53
130399
2640
02:28
Well, what does this really look like?
54
133039
1989
02:30
Well, what is it to make a therapeutic, anyway?
55
135028
2054
02:32
What's a drug? A drug is made up
56
137082
3001
02:35
of a small molecule of hydrogen, carbon,
57
140083
2325
02:38
oxygen, nitrogen, and a few other atoms
58
142408
2251
02:40
all cobbled together in a shape,
59
144659
2223
02:42
and it's those shapes that determine whether, in fact,
60
146882
2377
02:45
that particular drug is going to hit its target.
61
149259
3313
02:48
Is it going to land where it's supposed to?
62
152572
2223
02:50
So look at this picture here -- a lot of shapes dancing around for you.
63
154795
3156
02:53
Now what you need to do, if you're trying to develop
64
157951
2387
02:56
a new treatment for autism
65
160338
1457
02:57
or Alzheimer's disease or cancer
66
161795
2219
02:59
is to find the right shape in that mix
67
164014
1792
03:01
that will ultimately provide benefit and will be safe.
68
165806
2917
03:04
And when you look at what happens to that pipeline,
69
168723
3167
03:07
you start out maybe with thousands,
70
171890
1501
03:09
tens of thousands of compounds.
71
173391
1642
03:10
You weed down through various steps
72
175033
2149
03:13
that cause many of these to fail.
73
177182
1383
03:14
Ultimately, maybe you can run a clinical trial with four or five of these,
74
178565
3340
03:17
and if all goes well, 14 years after you started,
75
181905
3042
03:20
you will get one approval.
76
184947
2011
03:22
And it will cost you upwards of a billion dollars
77
186958
2030
03:24
for that one success.
78
188988
2144
03:27
So we have to look at this pipeline the way an engineer would,
79
191132
3304
03:30
and say, "How can we do better?"
80
194436
1208
03:31
And that's the main theme of what I want to say to you this morning.
81
195644
2677
03:34
How can we make this go faster?
82
198321
1813
03:36
How can we make it more successful?
83
200134
3065
03:39
Well, let me tell you about a few examples
84
203199
1341
03:40
where this has actually worked.
85
204540
2256
03:42
One that has just happened in the last few months
86
206796
2951
03:45
is the successful approval of a drug for cystic fibrosis.
87
209747
3710
03:49
But it's taken a long time to get there.
88
213457
1654
03:51
Cystic fibrosis had its molecular cause discovered in 1989
89
215111
4602
03:55
by my group working with another group in Toronto,
90
219713
2328
03:57
discovering what the mutation was in a particular gene
91
222041
2135
04:00
on chromosome 7.
92
224176
1628
04:01
That picture you see there?
93
225804
2038
04:03
Here it is. That's the same kid.
94
227842
2103
04:05
That's Danny Bessette, 23 years later,
95
229945
3344
04:09
because this is the year,
96
233289
1279
04:10
and it's also the year where Danny got married,
97
234568
2438
04:12
where we have, for the first time, the approval by the FDA
98
237006
3057
04:15
of a drug that precisely targets the defect in cystic fibrosis
99
240063
3737
04:19
based upon all this molecular understanding.
100
243800
1938
04:21
That's the good news.
101
245738
1424
04:23
The bad news is, this drug doesn't actually treat all cases of cystic fibrosis,
102
247162
3629
04:26
and it won't work for Danny, and we're still waiting
103
250791
2209
04:28
for that next generation to help him.
104
253000
2335
04:31
But it took 23 years to get this far. That's too long.
105
255335
3195
04:34
How do we go faster?
106
258530
1693
04:36
Well, one way to go faster is to take advantage of technology,
107
260223
2698
04:38
and a very important technology that we depend on
108
262921
2664
04:41
for all of this is the human genome,
109
265585
2296
04:43
the ability to be able to look at a chromosome,
110
267881
2588
04:46
to unzip it, to pull out all the DNA,
111
270469
2670
04:49
and to be able to then read out the letters in that DNA code,
112
273139
2950
04:51
the A's, C's, G's and T's
113
276089
2081
04:54
that are our instruction book and the instruction book for all living things,
114
278170
3271
04:57
and the cost of doing this,
115
281441
1514
04:58
which used to be in the hundreds of millions of dollars,
116
282955
2655
05:01
has in the course of the last 10 years
117
285610
1913
05:03
fallen faster than Moore's Law, down to the point
118
287523
2399
05:05
where it is less than 10,000 dollars today to have your genome sequenced, or mine,
119
289922
4007
05:09
and we're headed for the $1,000 genome fairly soon.
120
293929
3799
05:13
Well, that's exciting.
121
297728
1326
05:14
How does that play out in terms of application to a disease?
122
299054
3810
05:18
I want to tell you about another disorder.
123
302864
2280
05:21
This one is a disorder which is quite rare.
124
305144
2312
05:23
It's called Hutchinson-Gilford progeria,
125
307456
2768
05:26
and it is the most dramatic form of premature aging.
126
310224
3305
05:29
Only about one in every four million kids has this disease,
127
313529
3783
05:33
and in a simple way, what happens is,
128
317312
3360
05:36
because of a mutation in a particular gene,
129
320672
2701
05:39
a protein is made that's toxic to the cell
130
323373
2667
05:41
and it causes these individuals to age
131
326040
2297
05:44
at about seven times the normal rate.
132
328337
2584
05:46
Let me show you a video of what that does to the cell.
133
330921
3143
05:49
The normal cell, if you looked at it under the microscope,
134
334064
3135
05:53
would have a nucleus sitting in the middle of the cell,
135
337199
2889
05:55
which is nice and round and smooth in its boundaries
136
340088
3879
05:59
and it looks kind of like that.
137
343967
1755
06:01
A progeria cell, on the other hand,
138
345722
1864
06:03
because of this toxic protein called progerin,
139
347586
3102
06:06
has these lumps and bumps in it.
140
350688
2284
06:08
So what we would like to do after discovering this
141
352972
3015
06:11
back in 2003
142
355987
1852
06:13
is to come up with a way to try to correct that.
143
357839
3218
06:16
Well again, by knowing something about the molecular pathways,
144
361057
3088
06:20
it was possible to pick
145
364145
1999
06:22
one of those many, many compounds that might have been useful
146
366144
2617
06:24
and try it out.
147
368761
1461
06:26
In an experiment done in cell culture
148
370222
2575
06:28
and shown here in a cartoon,
149
372797
2042
06:30
if you take that particular compound
150
374839
2694
06:33
and you add it to that cell that has progeria,
151
377533
3256
06:36
and you watch to see what happened,
152
380789
2221
06:38
in just 72 hours, that cell becomes,
153
383010
2962
06:41
for all purposes that we can determine,
154
385972
2268
06:44
almost like a normal cell.
155
388240
1842
06:45
Well that was exciting, but would it actually work in a real human being?
156
390082
4341
06:50
This has led, in the space of only four years
157
394423
3385
06:53
from the time the gene was discovered to the start of a clinical trial,
158
397808
3501
06:57
to a test of that very compound.
159
401309
2197
06:59
And the kids that you see here
160
403506
1963
07:01
all volunteered to be part of this,
161
405469
2562
07:03
28 of them,
162
408031
1461
07:05
and you can see as soon as the picture comes up
163
409492
3095
07:08
that they are in fact a remarkable group of young people
164
412587
3382
07:11
all afflicted by this disease,
165
415969
1419
07:13
all looking quite similar to each other.
166
417388
2249
07:15
And instead of telling you more about it,
167
419637
1674
07:17
I'm going to invite one of them, Sam Berns from Boston,
168
421311
3986
07:21
who's here this morning, to come up on the stage
169
425297
2433
07:23
and tell us about his experience
170
427730
2220
07:25
as a child affected with progeria.
171
429950
1910
07:27
Sam is 15 years old. His parents, Scott Berns and Leslie Gordon,
172
431860
4058
07:31
both physicians, are here with us this morning as well.
173
435918
2121
07:33
Sam, please have a seat.
174
438039
2538
07:36
(Applause)
175
440577
7320
07:43
So Sam, why don't you tell these folks
176
447897
2178
07:45
what it's like being affected with this condition called progeria?
177
450075
3375
07:49
Sam Burns: Well, progeria limits me in some ways.
178
453450
3808
07:53
I cannot play sports or do physical activities,
179
457258
3964
07:57
but I have been able to take interest in things
180
461222
3204
08:00
that progeria, luckily, does not limit.
181
464426
2979
08:03
But when there is something that I really do want to do
182
467405
2557
08:05
that progeria gets in the way of, like marching band
183
469962
3017
08:08
or umpiring, we always find a way to do it,
184
472979
3426
08:12
and that just shows that progeria isn't in control of my life.
185
476405
3517
08:15
(Applause)
186
479922
1710
08:17
Francis Collins: So what would you like to say to researchers
187
481632
2036
08:19
here in the auditorium and others listening to this?
188
483668
3097
08:22
What would you say to them both about research on progeria
189
486765
2597
08:25
and maybe about other conditions as well?
190
489362
1886
08:27
SB: Well, research on progeria has come so far
191
491248
3146
08:30
in less than 15 years,
192
494394
2242
08:32
and that just shows the drive that researchers can have
193
496636
4369
08:36
to get this far, and it really means a lot
194
501005
3418
08:40
to myself and other kids with progeria,
195
504423
3251
08:43
and it shows that if that drive exists,
196
507674
2824
08:46
anybody can cure any disease,
197
510498
2601
08:48
and hopefully progeria can be cured in the near future,
198
513099
3947
08:52
and so we can eliminate those 4,000 diseases
199
517046
3757
08:56
that Francis was talking about.
200
520803
3007
08:59
FC: Excellent. So Sam took the day off from school today
201
523810
3129
09:02
to be here, and he is — (Applause) --
202
526939
5135
09:07
He is, by the way, a straight-A+ student in the ninth grade
203
532074
4816
09:12
in his school in Boston.
204
536890
1333
09:14
Please join me in thanking and welcoming Sam.
205
538223
2201
09:16
SB: Thank you very much. FC: Well done. Well done, buddy.
206
540424
3653
09:19
(Applause)
207
544077
11818
09:32
So I just want to say a couple more things
208
556886
1716
09:34
about that particular story, and then try to generalize
209
558602
3132
09:37
how could we have stories of success
210
561734
2496
09:40
all over the place for these diseases, as Sam says,
211
564230
3513
09:43
these 4,000 that are waiting for answers.
212
567743
2519
09:46
You might have noticed that the drug
213
570262
1872
09:48
that is now in clinical trial for progeria
214
572134
2769
09:50
is not a drug that was designed for that.
215
574903
1764
09:52
It's such a rare disease, it would be hard for a company
216
576667
2862
09:55
to justify spending hundreds of millions of dollars to generate a drug.
217
579529
3730
09:59
This is a drug that was developed for cancer.
218
583259
2160
10:01
Turned out, it didn't work very well for cancer,
219
585419
2165
10:03
but it has exactly the right properties, the right shape,
220
587584
2323
10:05
to work for progeria, and that's what's happened.
221
589907
2892
10:08
Wouldn't it be great if we could do that more systematically?
222
592799
3228
10:11
Could we, in fact, encourage all the companies that are out there
223
596027
3796
10:15
that have drugs in their freezers
224
599823
1838
10:17
that are known to be safe in humans
225
601661
2202
10:19
but have never actually succeeded in terms
226
603863
2292
10:22
of being effective for the treatments they were tried for?
227
606155
2856
10:24
Now we're learning about all these new molecular pathways --
228
609011
2384
10:27
some of those could be repositioned or repurposed,
229
611395
3079
10:30
or whatever word you want to use, for new applications,
230
614474
2399
10:32
basically teaching old drugs new tricks.
231
616873
2969
10:35
That could be a phenomenal, valuable activity.
232
619842
2687
10:38
We have many discussions now between NIH and companies
233
622529
3046
10:41
about doing this that are looking very promising.
234
625575
2124
10:43
And you could expect quite a lot to come from this.
235
627699
2614
10:46
There are quite a number of success stories one can point to
236
630313
3039
10:49
about how this has led to major advances.
237
633352
2353
10:51
The first drug for HIV/AIDS
238
635705
2207
10:53
was not developed for HIV/AIDS.
239
637912
1729
10:55
It was developed for cancer. It was AZT.
240
639641
2518
10:58
It didn't work very well for cancer, but became
241
642159
2001
11:00
the first successful antiretroviral,
242
644160
2116
11:02
and you can see from the table there are others as well.
243
646276
2572
11:04
So how do we actually make that a more generalizable effort?
244
648848
3644
11:08
Well, we have to come up with a partnership
245
652492
2224
11:10
between academia, government, the private sector,
246
654716
2860
11:13
and patient organizations to make that so.
247
657576
2453
11:15
At NIH, we have started this new
248
660029
1650
11:17
National Center for Advancing Translational Sciences.
249
661679
3200
11:20
It just started last December, and this is one of its goals.
250
664879
3615
11:24
Let me tell you another thing we could do.
251
668494
1441
11:25
Wouldn't it be nice to be able to a test a drug
252
669935
2919
11:28
to see if it's effective and safe
253
672854
2371
11:31
without having to put patients at risk,
254
675225
2101
11:33
because that first time you're never quite sure?
255
677326
2553
11:35
How do we know, for instance, whether drugs are safe
256
679879
2151
11:37
before we give them to people? We test them on animals.
257
682030
3245
11:41
And it's not all that reliable, and it's costly,
258
685275
2642
11:43
and it's time-consuming.
259
687917
1690
11:45
Suppose we could do this instead on human cells.
260
689607
2863
11:48
You probably know, if you've been paying attention
261
692470
2232
11:50
to some of the science literature
262
694702
1300
11:51
that you can now take a skin cell
263
696002
1656
11:53
and encourage it to become a liver cell
264
697658
2881
11:56
or a heart cell or a kidney cell or a brain cell for any of us.
265
700539
3075
11:59
So what if you used those cells as your test
266
703614
3152
12:02
for whether a drug is going to work and whether it's going to be safe?
267
706766
2945
12:05
Here you see a picture of a lung on a chip.
268
709711
4231
12:09
This is something created by the Wyss Institute in Boston,
269
713942
3521
12:13
and what they have done here, if we can run the little video,
270
717463
3175
12:16
is to take cells from an individual,
271
720638
2136
12:18
turn them into the kinds of cells that are present in the lung,
272
722774
3109
12:21
and determine what would happen
273
725883
1805
12:23
if you added to this various drug compounds
274
727688
3077
12:26
to see if they are toxic or safe.
275
730765
2465
12:29
You can see this chip even breathes.
276
733230
2271
12:31
It has an air channel. It has a blood channel.
277
735501
2617
12:34
And it has cells in between
278
738118
1703
12:35
that allow you to see what happens when you add a compound.
279
739821
2438
12:38
Are those cells happy or not?
280
742259
1772
12:39
You can do this same kind of chip technology
281
744031
3031
12:42
for kidneys, for hearts, for muscles,
282
747062
2209
12:45
all the places where you want to see whether a drug
283
749271
2464
12:47
is going to be a problem, for the liver.
284
751735
2281
12:49
And ultimately, because you can do this for the individual,
285
754016
3048
12:52
we could even see this moving to the point
286
757064
2214
12:55
where the ability to develop and test medicines
287
759278
3441
12:58
will be you on a chip, what we're trying to say here is
288
762719
3186
13:01
the individualizing of the process of developing drugs
289
765905
3501
13:05
and testing their safety.
290
769406
2248
13:07
So let me sum up.
291
771654
1652
13:09
We are in a remarkable moment here.
292
773306
2260
13:11
For me, at NIH now for almost 20 years,
293
775566
2103
13:13
there has never been a time where there was more excitement
294
777669
2601
13:16
about the potential that lies in front of us.
295
780270
2585
13:18
We have made all these discoveries
296
782855
1792
13:20
pouring out of laboratories across the world.
297
784647
2365
13:22
What do we need to capitalize on this? First of all, we need resources.
298
787012
3362
13:26
This is research that's high-risk, sometimes high-cost.
299
790374
3555
13:29
The payoff is enormous, both in terms of health
300
793929
1971
13:31
and in terms of economic growth. We need to support that.
301
795900
2880
13:34
Second, we need new kinds of partnerships
302
798780
2301
13:36
between academia and government and the private sector
303
801081
2221
13:39
and patient organizations, just like the one I've been describing here,
304
803302
3347
13:42
in terms of the way in which we could go after repurposing new compounds.
305
806649
3580
13:46
And third, and maybe most important, we need talent.
306
810229
3236
13:49
We need the best and the brightest
307
813465
2141
13:51
from many different disciplines to come and join this effort --
308
815606
2857
13:54
all ages, all different groups --
309
818463
2446
13:56
because this is the time, folks.
310
820909
2087
13:58
This is the 21st-century biology that you've been waiting for,
311
822996
3625
14:02
and we have the chance to take that
312
826621
2462
14:04
and turn it into something which will, in fact,
313
829083
2490
14:07
knock out disease. That's my goal.
314
831573
2330
14:09
I hope that's your goal.
315
833903
1884
14:11
I think it'll be the goal of the poets and the muppets
316
835787
2680
14:14
and the surfers and the bankers
317
838467
2009
14:16
and all the other people who join this stage
318
840476
2278
14:18
and think about what we're trying to do here
319
842754
1750
14:20
and why it matters.
320
844504
1165
14:21
It matters for now. It matters as soon as possible.
321
845669
2770
14:24
If you don't believe me, just ask Sam.
322
848439
3118
14:27
Thank you all very much.
323
851557
1443
14:28
(Applause)
324
853000
4831
Translated by Joseph Geni
Reviewed by Morton Bast

▲Back to top

ABOUT THE SPEAKER
Francis Collins - Geneticist, physician
A key player in the US' new brain-mapping project, Francis Collins is director of the National Institutes of Health.

Why you should listen

In 2000 the world saw the first working draft of the human genome, and that's in no small part thanks to Francis Collins. Under his directorship at the National Human Genome Research Institute, the Human Genome Project was finished, a complete mapping of all 20,500 genes in the human genome, with a high-quality, reference sequence published in April 2003.

In 2009 President Obama nominated Collins as the director of the National Institutes of Health, and later that year he was confirmed by the U.S. Senate. In March 2013, Collins helped Obama introduce the BRAIN Initiative, an ambitious, well-funded program to map the human brain. Read more about the BRAIN Initiative >>

Collins is also a self-described serious Christian and the author of several books on science and faith, including The Language of God: A Scientist Presents Evidence for Belief.

More profile about the speaker
Francis Collins | Speaker | TED.com