1 00:00:05,709 --> 00:00:10,792 What if you or a loved one were diagnosed with an infectious disease: 2 00:00:10,797 --> 00:00:14,239 strep throat, an ear infection, bacterial pneumonia, 3 00:00:14,240 --> 00:00:18,229 tuberculosis, or a sexually transmitted disease? 4 00:00:18,230 --> 00:00:23,028 Now imagine that there are no drugs that will work 5 00:00:23,029 --> 00:00:25,970 in effecting a cure for your infection. 6 00:00:25,971 --> 00:00:28,040 This is pretty scary. 7 00:00:28,041 --> 00:00:29,517 This is happening right now. 8 00:00:29,518 --> 00:00:34,259 There are people dying, just like they used to before 1928, 9 00:00:34,260 --> 00:00:36,917 when penicillin was discovered. 10 00:00:36,918 --> 00:00:40,482 Are we about to fall into the edge of the volcano? 11 00:00:40,483 --> 00:00:42,717 That would not be so good. 12 00:00:42,718 --> 00:00:44,695 What I would like to propose today 13 00:00:44,696 --> 00:00:49,011 is that we need to encourage young and old scientists 14 00:00:49,012 --> 00:00:53,233 to explore new opportunities and new therapies. 15 00:00:53,234 --> 00:00:56,034 Not just antibiotics. 16 00:00:56,035 --> 00:00:58,206 What else do we have? 17 00:00:58,207 --> 00:00:59,671 This is one of my heroes, 18 00:00:59,672 --> 00:01:03,583 a Scottish microbiologist who became Sir Alexander Fleming. 19 00:01:03,584 --> 00:01:06,205 He discovered penicillin in 1928, 20 00:01:06,206 --> 00:01:09,834 and he was worried about antibiotic resistance, too. 21 00:01:09,835 --> 00:01:11,551 Very, very concerned. 22 00:01:11,552 --> 00:01:13,610 Antibiotics? Well, what are they? 23 00:01:13,611 --> 00:01:20,138 Think of them as tiny chemical weapons that are produced by bacteria and fungi, 24 00:01:20,139 --> 00:01:24,709 so that they can kill off competitors in a nutrient-limited environment. 25 00:01:24,710 --> 00:01:30,022 These genes for antibiotics have been around for 4 million years, 26 00:01:30,042 --> 00:01:33,590 long before we humans needed Z-Paks. 27 00:01:33,591 --> 00:01:36,059 So this is not a new thing. 28 00:01:37,080 --> 00:01:41,000 Antibiotic resistance can be easily detected, 29 00:01:41,011 --> 00:01:44,511 and antibiotic resistance is another weapon. 30 00:01:44,512 --> 00:01:48,655 Do you remember Spy vs Spy, if you're old enough? 31 00:01:48,656 --> 00:01:50,534 So it's an escalation of weapons. 32 00:01:50,535 --> 00:01:52,703 The antibiotic producers, that's one weapon. 33 00:01:52,704 --> 00:01:56,076 The antibiotic resistance is another weapon. 34 00:01:56,077 --> 00:01:59,299 Antibiotic resistance is one of those things that my students 35 00:01:59,300 --> 00:02:03,128 - and there's two of them - I told you I was going to use the picture. 36 00:02:03,129 --> 00:02:08,625 You can detect antibiotic resistance by growing plate cultures of bacteria. 37 00:02:08,626 --> 00:02:12,626 On the left you have E. coli; on the right you have Staph aureus. 38 00:02:12,643 --> 00:02:17,593 And those little paper discs are treated with antibiotics like penicillin, 39 00:02:17,594 --> 00:02:20,667 tetracycline, Vancomycin, you guys did this, too. 40 00:02:20,680 --> 00:02:22,584 This is not new stuff. 41 00:02:22,585 --> 00:02:24,990 They did great, they did great by the way. 42 00:02:24,991 --> 00:02:27,454 When you look at antibiotic resistance, 43 00:02:27,455 --> 00:02:31,041 this means that we're now facing Super Bugs. 44 00:02:31,042 --> 00:02:34,668 And I don't mean "super" in a good "Yay!", 45 00:02:34,675 --> 00:02:37,165 "super" in a scary way. 46 00:02:37,166 --> 00:02:38,249 What about bacteria? 47 00:02:38,250 --> 00:02:42,250 You've heard of MRSA, Methicillin-resistant Staph Aureus. 48 00:02:42,252 --> 00:02:44,030 This one scares me. 49 00:02:44,031 --> 00:02:45,867 What about tuberculosis-- 50 00:02:45,868 --> 00:02:47,903 multiple drug-resistant tuberculosis 51 00:02:47,904 --> 00:02:51,201 and extensively drug-resistant tuberculosis. 52 00:02:51,202 --> 00:02:52,535 They're out there. 53 00:02:52,536 --> 00:02:54,403 These infections are very scary 54 00:02:54,404 --> 00:02:56,819 and they may take one of your loved ones. 55 00:02:56,820 --> 00:02:59,483 Or, God forbid, they'll take you. 56 00:02:59,501 --> 00:03:02,925 C. diff, Clostridium difficile-- 57 00:03:02,926 --> 00:03:05,625 this one attacks the weakest of the patients, 58 00:03:05,626 --> 00:03:08,894 the elderly and the very, very young. 59 00:03:08,895 --> 00:03:13,731 Well, before we all get bummed out, there have to be some good guys. 60 00:03:13,732 --> 00:03:16,515 There have to be. 61 00:03:16,516 --> 00:03:20,919 My training is soil microbiology so I love dirt. 62 00:03:20,920 --> 00:03:24,106 Especially the dirt in my garden. 63 00:03:24,107 --> 00:03:27,416 This used to be my son's swing set, but when he got too big, 64 00:03:27,417 --> 00:03:30,500 and the swing set started getting tippy, I said, "You know what? 65 00:03:30,515 --> 00:03:32,914 It's going to be a garden box." 66 00:03:32,915 --> 00:03:38,054 Soil bacteria, soil fungi, they are natural antibiotic producers. 67 00:03:38,055 --> 00:03:40,459 This is one avenue to explore. 68 00:03:40,460 --> 00:03:43,989 How about we start looking at more soil samples 69 00:03:43,990 --> 00:03:48,963 on Mars, or other extraterrestrial places? 70 00:03:48,964 --> 00:03:51,269 Places even on Earth, 71 00:03:51,270 --> 00:03:55,099 slopes of volcanoes where bacteria recolonize. 72 00:03:55,100 --> 00:03:57,941 I'm up for that, I'm totally going to volunteer. 73 00:03:57,942 --> 00:04:01,629 This is cool, this is sci-fi, this is Star Trek. 74 00:04:01,630 --> 00:04:05,990 How about we use viruses that attack bacteria 75 00:04:05,991 --> 00:04:09,041 to do the dirty work for us? 76 00:04:09,042 --> 00:04:13,233 The T-even bacteriophages, one of my favorites is T4. 77 00:04:13,234 --> 00:04:16,216 The "even" stands for the even number. 78 00:04:16,216 --> 00:04:19,491 What they do is they attack bacteria 79 00:04:19,492 --> 00:04:23,221 and kill them, without antibiotics. 80 00:04:23,222 --> 00:04:28,709 This technology has been around, believe it or not, since the 1930s. 81 00:04:28,710 --> 00:04:31,937 It was discovered in France by a microbiologist. 82 00:04:31,938 --> 00:04:36,722 The technology was advanced to clinical applications in the 1950s. 83 00:04:36,723 --> 00:04:38,229 But there's a catch. 84 00:04:38,230 --> 00:04:41,093 This was behind the former Iron Curtain. 85 00:04:41,094 --> 00:04:45,474 This was in Russia, and Poland, and the original Georgia. 86 00:04:45,475 --> 00:04:47,591 Not our Georgia. 87 00:04:47,592 --> 00:04:50,493 This technology is very effective. 88 00:04:50,494 --> 00:04:53,493 What if pharmaceutical companies 89 00:04:53,494 --> 00:04:58,933 could maybe advance the technology to treat a patient with a virus, 90 00:04:58,934 --> 00:05:02,201 instead of an antibiotic or another type of drug? 91 00:05:02,202 --> 00:05:04,223 There's a lot of philosophy. 92 00:05:04,224 --> 00:05:08,476 Viruses, most people think, are bad or terrible or the bad guys. 93 00:05:08,477 --> 00:05:12,751 But the enemy of my enemy is my friend, right? 94 00:05:12,752 --> 00:05:14,739 Well, not so fast. 95 00:05:14,740 --> 00:05:17,471 Sometimes, the technology does go awry, 96 00:05:17,472 --> 00:05:21,008 and the viruses will carry genes that we don't understand. 97 00:05:21,009 --> 00:05:22,619 So, I told you I like Star Trek. 98 00:05:22,620 --> 00:05:25,289 ["The enemy of my enemy is the one I shall kill last."] 99 00:05:25,290 --> 00:05:26,722 It could happen. 100 00:05:26,723 --> 00:05:31,469 Think of all the wonderful, spicy cuisines that we love: 101 00:05:32,500 --> 00:05:35,959 Thai food, Indian food, 102 00:05:35,960 --> 00:05:39,459 Vietnamese, Cambodian, Eastern European, 103 00:05:39,460 --> 00:05:43,525 West African, Caribbean, Tex Mex. 104 00:05:43,526 --> 00:05:46,001 Yay, Taco Tuesday! 105 00:05:46,002 --> 00:05:48,060 When you look at all of the herbs and spices 106 00:05:48,061 --> 00:05:51,869 that have been studied, but only by anecdotal evidence: 107 00:05:51,870 --> 00:05:57,134 turmeric, and peppers, and onions, and garlic, and lemon grass, 108 00:05:57,135 --> 00:06:02,443 and allspice, and cinnamon, and coffee, and tea, 109 00:06:02,444 --> 00:06:03,938 and beer. 110 00:06:03,939 --> 00:06:05,254 Yay! 111 00:06:05,255 --> 00:06:07,239 (Laughter) 112 00:06:07,240 --> 00:06:10,586 What would happen if more people grew their own food? 113 00:06:11,557 --> 00:06:15,450 I garden a lot at home, with my son and my partner. 114 00:06:15,451 --> 00:06:19,609 And all of these produce came from our garden. 115 00:06:19,610 --> 00:06:21,985 No, you can't have any, I ate it already. 116 00:06:21,986 --> 00:06:23,487 But I'll trade you. 117 00:06:23,488 --> 00:06:25,279 What have you got to trade? 118 00:06:25,280 --> 00:06:28,825 We make beer, we make cheese, we have chickens. 119 00:06:28,826 --> 00:06:29,931 They're awesome. 120 00:06:29,932 --> 00:06:32,654 Our little miniature dinosaurs. 121 00:06:32,662 --> 00:06:36,520 What about encouraging young scientists to work on science fair projects 122 00:06:36,521 --> 00:06:41,981 that might advance one tiny field of this type of research? 123 00:06:41,982 --> 00:06:44,784 So, when your child comes home, 124 00:06:44,785 --> 00:06:49,466 and they have their first science project assignment ... 125 00:06:49,467 --> 00:06:51,074 Oh, God. 126 00:06:52,245 --> 00:06:53,967 Put a smile on your face. 127 00:06:53,968 --> 00:06:56,696 Stock up on those art supplies, stock up on that alcohol, 128 00:06:56,697 --> 00:07:01,069 and say, "Yes, honey, we can do this!" 129 00:07:01,070 --> 00:07:05,009 My son's first project is due in January. 130 00:07:05,010 --> 00:07:06,838 Oh, please help me. 131 00:07:08,189 --> 00:07:12,480 When we went to Hawaii in February, we really did go to a science fair. 132 00:07:12,500 --> 00:07:16,227 So look, even school children in Hawaii do science fair projects. 133 00:07:16,228 --> 00:07:18,839 How bad would that be? 134 00:07:18,840 --> 00:07:21,254 Some of them were really, really good. 135 00:07:21,255 --> 00:07:23,385 You'll like this one. 136 00:07:23,386 --> 00:07:24,724 There's an anthropologist, 137 00:07:24,724 --> 00:07:27,474 an American anthropologist called Jeff Leach. 138 00:07:27,474 --> 00:07:31,120 And after his daughter was diagnosed with Type I Diabetes, 139 00:07:31,121 --> 00:07:34,981 he moved to Tanzania, and he went native, 140 00:07:34,982 --> 00:07:37,621 living with a hunter-gatherer tribe. 141 00:07:37,622 --> 00:07:41,258 He ate what they ate--lots and lots of fresh fruit and vegetables; 142 00:07:41,259 --> 00:07:44,729 lots and lots of roots that they had gathered. 143 00:07:44,730 --> 00:07:46,266 Not a whole lot of protein, 144 00:07:46,267 --> 00:07:49,859 unless that had hunted and killed on that particular day. 145 00:07:49,860 --> 00:07:52,120 You also eat a lot of dirt 146 00:07:52,120 --> 00:07:54,730 when you consume fruit and vegetable material. 147 00:07:54,730 --> 00:07:56,997 But what he found in the year 148 00:07:56,998 --> 00:08:01,167 when he was taking stool samples and blood samples, 149 00:08:01,168 --> 00:08:05,474 was that in humans, with a higher rate of intestinal worm infections, 150 00:08:05,475 --> 00:08:09,654 they have a lower rate of inflammatory and autoimmune diseases, 151 00:08:09,667 --> 00:08:12,541 like diabetes, like Crohn's Disease, 152 00:08:12,542 --> 00:08:16,612 like celiac, like irritable bowel, like rheumatoid arthritis. 153 00:08:16,613 --> 00:08:19,785 Now, I'm not saying go out and eat dirt and eat worms, 154 00:08:19,792 --> 00:08:22,203 unless that's what you're into. 155 00:08:22,204 --> 00:08:26,690 But what if some aspect of the parasitic worms, 156 00:08:26,709 --> 00:08:31,157 like tapeworms and hook worms, was actually beneficial to our health? 157 00:08:31,158 --> 00:08:33,543 Because the immune system is so busy 158 00:08:33,544 --> 00:08:36,133 modulating and controlling the worm infection, 159 00:08:36,134 --> 00:08:38,284 that is doesn't have time to pay attention 160 00:08:38,284 --> 00:08:41,196 to the inflammation elsewhere in our bodies. 161 00:08:41,197 --> 00:08:43,388 His project is called The Human Food Project. 162 00:08:43,389 --> 00:08:46,020 He's got another one that you might be interested in, 163 00:08:46,021 --> 00:08:48,031 so Google it on break. 164 00:08:48,032 --> 00:08:51,031 It's called The American Gut Project. 165 00:08:51,032 --> 00:08:53,085 And for a small fee, 166 00:08:54,236 --> 00:08:58,495 from anywhere from $99 to $10,000, 167 00:08:58,496 --> 00:09:03,041 you can send in a fecal sample for testing. 168 00:09:03,042 --> 00:09:06,860 And he'll even do fecal samples from your dog, 169 00:09:06,861 --> 00:09:11,465 to study the American human gut, and dog gut as well. 170 00:09:11,470 --> 00:09:13,211 Tempting. 171 00:09:13,212 --> 00:09:15,319 I saved the best for last. 172 00:09:16,542 --> 00:09:20,904 FMT: Fecal Mass Transplantation. 173 00:09:20,905 --> 00:09:25,251 This is used in 2013, the United States 174 00:09:25,252 --> 00:09:28,971 approved this for treatment of C. diff. 175 00:09:28,972 --> 00:09:30,732 It actually works. 176 00:09:30,733 --> 00:09:34,857 When you take healthy donor fecal material, 177 00:09:34,858 --> 00:09:38,337 and you transplant it into a recipient, 178 00:09:38,338 --> 00:09:41,729 they have a better than 90% chance 179 00:09:41,730 --> 00:09:45,459 of recovery from their C. diff infection. 180 00:09:45,460 --> 00:09:47,745 It sound really gross. 181 00:09:47,747 --> 00:09:50,516 Because here's what you do. 182 00:09:50,517 --> 00:09:52,066 (Laughter) 183 00:09:55,436 --> 00:09:58,224 You can make a frozen poo pill, 184 00:09:59,175 --> 00:10:03,488 as long as the material has been screened and freed of parasites; 185 00:10:03,489 --> 00:10:06,272 you can receive it by an endoscope; 186 00:10:06,273 --> 00:10:08,692 you can receive it by an enema. 187 00:10:08,693 --> 00:10:11,803 [How about a big bowl of "Poop Soup"?] 188 00:10:11,804 --> 00:10:13,359 (Laughter) 189 00:10:15,458 --> 00:10:19,534 This technology has been around since the 4th or 5th century in China. 190 00:10:19,535 --> 00:10:22,597 There are recipes online for yellow soup. 191 00:10:22,597 --> 00:10:24,918 Last night, I went online and did some research. 192 00:10:24,919 --> 00:10:27,171 There are Pinterest pins, 193 00:10:27,171 --> 00:10:28,522 (Laughter) 194 00:10:29,949 --> 00:10:32,142 for do-it-yourself at home. 195 00:10:32,143 --> 00:10:33,590 (Laughter) 196 00:10:38,209 --> 00:10:40,242 There are recipes. 197 00:10:41,883 --> 00:10:43,240 I haven't tried it yet. 198 00:10:43,241 --> 00:10:48,090 It's on my list for 2017. 199 00:10:48,771 --> 00:10:50,120 (Laughter) 200 00:10:50,121 --> 00:10:51,883 No, I haven't tried it. 201 00:10:51,884 --> 00:10:55,073 But what if, what if, 202 00:10:55,074 --> 00:10:58,223 your loved one has exhausted all the options? 203 00:10:58,224 --> 00:11:01,165 Antibiotics are not working, they've had multiple surgeries. 204 00:11:01,166 --> 00:11:04,194 They're depressed, they're in the hospital, they're losing hope. 205 00:11:04,195 --> 00:11:08,425 What if something this simple 206 00:11:08,426 --> 00:11:10,985 could actually help them? 207 00:11:10,986 --> 00:11:13,459 I'd do it. I'd do it in a heartbeat. 208 00:11:13,460 --> 00:11:18,788 I hope that with this very short talk I have stimulated your imagination 209 00:11:18,789 --> 00:11:23,109 to at least learn more, read more, find out more. 210 00:11:23,110 --> 00:11:25,918 Antibiotic therapy won't always be with us. 211 00:11:25,919 --> 00:11:28,919 But there are other avenues to explore. 212 00:11:28,920 --> 00:11:30,559 Yeah, I've read all those books. 213 00:11:30,560 --> 00:11:33,231 That's not my nightstand, I promise. 214 00:11:33,232 --> 00:11:34,641 But people look at you funny 215 00:11:34,642 --> 00:11:36,280 when you're waiting at an airport 216 00:11:36,281 --> 00:11:38,260 to get on a plane for a flight somewhere, 217 00:11:38,261 --> 00:11:41,165 and you have one of these books in your hand. 218 00:11:41,166 --> 00:11:44,505 But then you mention that you heard about it on NPR Science Friday, 219 00:11:44,506 --> 00:11:46,235 and then it's all good. 220 00:11:46,236 --> 00:11:48,278 It's all good, they're happy with you. 221 00:11:48,290 --> 00:11:51,184 Anyway, thank you for your kind attention. 222 00:11:51,185 --> 00:11:52,527 (Applause)