1 00:00:09,190 --> 00:00:07,590 one of the new investigations delivered 2 00:00:12,070 --> 00:00:09,200 to the international space station by 3 00:00:14,709 --> 00:00:12,080 the recent dragon cargo ship is designed 4 00:00:17,189 --> 00:00:14,719 to improve our understanding of the risk 5 00:00:19,750 --> 00:00:17,199 of infections that long-duration space 6 00:00:20,870 --> 00:00:19,760 travelers face and it uses roundworms to 7 00:00:23,029 --> 00:00:20,880 do the work 8 00:00:25,269 --> 00:00:23,039 recently my colleague brandy dean spoke 9 00:00:27,509 --> 00:00:25,279 with dr cheryl nickerson a professor of 10 00:00:29,750 --> 00:00:27,519 life sciences with the biodesign 11 00:00:32,069 --> 00:00:29,760 institute at the arizona state 12 00:00:34,389 --> 00:00:32,079 university who is the principal 13 00:00:38,630 --> 00:00:34,399 investigator of the experiment known as 14 00:00:42,310 --> 00:00:39,990 cheryl why don't we start with what we 15 00:00:43,990 --> 00:00:42,320 know about how being in space affects an 16 00:00:46,549 --> 00:00:44,000 astronaut's immune system does it make 17 00:00:49,830 --> 00:00:46,559 it easier for them to get sick 18 00:00:52,229 --> 00:00:49,840 uh it might what we do know is that 19 00:00:54,150 --> 00:00:52,239 without question being in space and in 20 00:00:57,350 --> 00:00:54,160 microgravity definitely impacts the 21 00:00:59,110 --> 00:00:57,360 crew's immune system it blunts 22 00:01:00,869 --> 00:00:59,120 several aspects of their immune function 23 00:01:03,110 --> 00:01:00,879 so their immune systems don't work as 24 00:01:05,189 --> 00:01:03,120 well as they normally do on the ground 25 00:01:07,190 --> 00:01:05,199 we're still trying to learn more of the 26 00:01:08,950 --> 00:01:07,200 clinical details as to exactly why it 27 00:01:11,109 --> 00:01:08,960 happens but it's a fact that it does 28 00:01:12,550 --> 00:01:11,119 happen and you know that's a concern 29 00:01:14,469 --> 00:01:12,560 because even here on earth when our 30 00:01:16,230 --> 00:01:14,479 immune system doesn't work so well we're 31 00:01:17,990 --> 00:01:16,240 susceptible to a lot of different kinds 32 00:01:19,910 --> 00:01:18,000 of diseases most certainly including 33 00:01:22,230 --> 00:01:19,920 infectious diseases so 34 00:01:25,510 --> 00:01:22,240 we are we are interested in in 35 00:01:28,630 --> 00:01:25,520 understanding how space flight impacts 36 00:01:30,789 --> 00:01:28,640 the crew's ability to uh to acquire 37 00:01:33,109 --> 00:01:30,799 infectious diseases in flight 38 00:01:35,429 --> 00:01:33,119 and i understand that meanwhile um being 39 00:01:37,590 --> 00:01:35,439 in space can sometimes make the the 40 00:01:40,310 --> 00:01:37,600 diseases the microbes i guess um more 41 00:01:42,710 --> 00:01:40,320 virulent is that right as well 42 00:01:44,789 --> 00:01:42,720 well we have shown that for one pathogen 43 00:01:46,950 --> 00:01:44,799 and we have shown that for the major 44 00:01:49,350 --> 00:01:46,960 bacterial foodborne pathogen 45 00:01:51,910 --> 00:01:49,360 in the united states salmonella 46 00:01:53,270 --> 00:01:51,920 and uh that is the only pathogen for 47 00:01:55,749 --> 00:01:53,280 which an increased what we call 48 00:01:58,310 --> 00:01:55,759 virulence or disease-causing ability has 49 00:02:00,469 --> 00:01:58,320 actually been demonstrated in flight 50 00:02:02,950 --> 00:02:00,479 however we've profiled a number of other 51 00:02:05,429 --> 00:02:02,960 pathogens in flight and i can tell you 52 00:02:07,270 --> 00:02:05,439 that some of their properties change in 53 00:02:09,350 --> 00:02:07,280 a manner which suggests that they might 54 00:02:10,949 --> 00:02:09,360 be more problematic to the crew 55 00:02:14,070 --> 00:02:10,959 interesting and i guess that's what your 56 00:02:16,949 --> 00:02:14,080 study micro five looks at right 57 00:02:18,869 --> 00:02:16,959 yes so microfiber actually uh leveraged 58 00:02:21,030 --> 00:02:18,879 off of my lab's previous space flight 59 00:02:23,510 --> 00:02:21,040 research which was done on the shuttle 60 00:02:25,350 --> 00:02:23,520 uh wherein we studied the effect of 61 00:02:27,589 --> 00:02:25,360 space flight or microgravity on 62 00:02:29,910 --> 00:02:27,599 microbial pathogens and the infectious 63 00:02:32,390 --> 00:02:29,920 disease process and what's been very 64 00:02:34,830 --> 00:02:32,400 exciting to us is we've been able to use 65 00:02:37,670 --> 00:02:34,840 the microgravity platform to 66 00:02:40,150 --> 00:02:37,680 unveil or reveal new ways that pathogens 67 00:02:42,949 --> 00:02:40,160 like salmonella are actually causing 68 00:02:45,430 --> 00:02:42,959 disease in our own bodies and and we are 69 00:02:47,190 --> 00:02:45,440 able to uh use the microgravity platform 70 00:02:49,030 --> 00:02:47,200 to get this information because 71 00:02:50,550 --> 00:02:49,040 sometimes when we study these processes 72 00:02:52,710 --> 00:02:50,560 on earth 73 00:02:54,710 --> 00:02:52,720 the force of gravity can mask what the 74 00:02:56,470 --> 00:02:54,720 pathogen is doing when it infects us and 75 00:02:58,790 --> 00:02:56,480 what our body is doing and it responds 76 00:03:00,710 --> 00:02:58,800 to it so one of the really cool things 77 00:03:02,790 --> 00:03:00,720 to us in addition to having the 78 00:03:05,430 --> 00:03:02,800 opportunity to keep the crew healthy in 79 00:03:08,630 --> 00:03:05,440 flight our work is actually translating 80 00:03:10,790 --> 00:03:08,640 back down here on earth uh with our goal 81 00:03:12,710 --> 00:03:10,800 of developing new strategies to help 82 00:03:14,550 --> 00:03:12,720 keep us healthy and outpace infectious 83 00:03:16,470 --> 00:03:14,560 disease well tell us a little bit about 84 00:03:17,670 --> 00:03:16,480 how this experiment actually works in 85 00:03:20,630 --> 00:03:17,680 space 86 00:03:23,430 --> 00:03:20,640 sure i'd be happy to um so first of all 87 00:03:25,350 --> 00:03:23,440 the crew in space will set up the 88 00:03:26,789 --> 00:03:25,360 cameras so they can do imaging of our 89 00:03:27,910 --> 00:03:26,799 experiment but what they're going to do 90 00:03:30,789 --> 00:03:27,920 is they're going to activate the 91 00:03:33,190 --> 00:03:30,799 bacteria to grow salmonella to grow once 92 00:03:35,270 --> 00:03:33,200 it's grown uh for a certain period of 93 00:03:38,789 --> 00:03:35,280 time they will then infect the nematodes 94 00:03:40,309 --> 00:03:38,799 the host with that bacterium and then a 95 00:03:42,309 --> 00:03:40,319 portion of that experiment will be put 96 00:03:44,229 --> 00:03:42,319 under the video cameras for imaging 97 00:03:45,910 --> 00:03:44,239 we'll get that data in real time and 98 00:03:48,229 --> 00:03:45,920 then other portions of the experiment 99 00:03:51,030 --> 00:03:48,239 for gene expression and microscopy will 100 00:03:53,990 --> 00:03:51,040 be fixed uh in chemicals or frozen at 101 00:03:55,670 --> 00:03:54,000 different points at later points in time 102 00:03:57,670 --> 00:03:55,680 uh and then those samples will be 103 00:03:59,429 --> 00:03:57,680 analyzed when they get back and so i 104 00:04:01,030 --> 00:03:59,439 would really like to just quickly 105 00:04:03,190 --> 00:04:01,040 mention that it really does take a 106 00:04:04,550 --> 00:04:03,200 village to do this experiment it's been 107 00:04:06,789 --> 00:04:04,560 five years in the making we have 108 00:04:09,429 --> 00:04:06,799 phenomenal collaborators at every level 109 00:04:11,190 --> 00:04:09,439 at nasa nasa ames most certainly the 110 00:04:13,350 --> 00:04:11,200 johnson space center kennedy space 111 00:04:14,869 --> 00:04:13,360 center the university of chicago and oh 112 00:04:17,670 --> 00:04:14,879 my goodness 113 00:04:19,030 --> 00:04:17,680 uh orion's quest who who we have high 114 00:04:20,870 --> 00:04:19,040 school students they're helping us with 115 00:04:23,990 --> 00:04:20,880 some of our data and analyze it but 116 00:04:27,110 --> 00:04:24,000 especially to terry verts who has done 117 00:04:28,550 --> 00:04:27,120 such a phenomenal job as our amazing 118 00:04:30,310 --> 00:04:28,560 crew member who's done this work for us 119 00:04:32,870 --> 00:04:30,320 on orbit we've followed him we've been 120 00:04:34,950 --> 00:04:32,880 so excited i there's no one who could 121 00:04:37,510 --> 00:04:34,960 have done it better and without him we 122 00:04:39,350 --> 00:04:37,520 wouldn't have the work to analyze so 123 00:04:40,710 --> 00:04:39,360 my shout out and thank you to terry i'm 124 00:04:43,110 --> 00:04:40,720 going to tweet him when i get out of 125 00:04:45,909 --> 00:04:43,120 this but he's done a spectacular job so 126 00:04:47,270 --> 00:04:45,919 it's been a lot of work but a lot of fun 127 00:04:48,390 --> 00:04:47,280 you mentioned i think that you were 128 00:04:49,909 --> 00:04:48,400 going to be looking at countermeasures 129 00:04:51,749 --> 00:04:49,919 as well for sick astronauts can you tell 130 00:04:54,710 --> 00:04:51,759 us a little bit more about that 131 00:04:57,110 --> 00:04:54,720 uh sure i can it i want to 132 00:04:58,070 --> 00:04:57,120 kind of uh preface my comments with 133 00:05:01,110 --> 00:04:58,080 saying 134 00:05:03,029 --> 00:05:01,120 this is not necessarily um 135 00:05:04,629 --> 00:05:03,039 a direct countermeasure that would be 136 00:05:06,070 --> 00:05:04,639 used immediately 137 00:05:08,629 --> 00:05:06,080 but it could certainly lead us towards 138 00:05:10,550 --> 00:05:08,639 one so our previous work had had shown 139 00:05:12,710 --> 00:05:10,560 two things number one salmonella became 140 00:05:15,430 --> 00:05:12,720 a better pathogen in flight and on a 141 00:05:16,950 --> 00:05:15,440 follow-up experiment we reasoned we 142 00:05:18,790 --> 00:05:16,960 could come up with a way to turn off 143 00:05:20,629 --> 00:05:18,800 that increased disease-causing potential 144 00:05:21,990 --> 00:05:20,639 in flight which we were able to do and 145 00:05:23,430 --> 00:05:22,000 we were able to do that with the 146 00:05:24,550 --> 00:05:23,440 nutritional counter measure which 147 00:05:26,390 --> 00:05:24,560 contained 148 00:05:28,230 --> 00:05:26,400 several 149 00:05:30,469 --> 00:05:28,240 ions or metals like you'd see on the 150 00:05:32,629 --> 00:05:30,479 back of your vitamin bottle one of them 151 00:05:34,230 --> 00:05:32,639 was phosphate and we thought that 152 00:05:35,990 --> 00:05:34,240 phosphate actually might be one of the 153 00:05:37,590 --> 00:05:36,000 key reasons that we could turn off that 154 00:05:38,550 --> 00:05:37,600 increased disease-causing potential and 155 00:05:42,790 --> 00:05:38,560 flight 156 00:05:45,189 --> 00:05:42,800 so in this experiment we're actually uh 157 00:05:47,670 --> 00:05:45,199 in one of our samples when we infect the 158 00:05:51,189 --> 00:05:47,680 nematodes with salmonella we will have a 159 00:05:52,870 --> 00:05:51,199 phosphate ions in there 160 00:05:55,189 --> 00:05:52,880 and we will look to see if those 161 00:05:57,110 --> 00:05:55,199 phosphate ions can prevent the nematode 162 00:05:59,350 --> 00:05:57,120 from getting sick in the first place if 163 00:06:01,510 --> 00:05:59,360 it can then we've understood something 164 00:06:04,469 --> 00:06:01,520 very important about how 165 00:06:06,150 --> 00:06:04,479 uh salmonella causes disease in flight 166 00:06:08,390 --> 00:06:06,160 for the crew and that could potentially 167 00:06:10,550 --> 00:06:08,400 be something that could be added to 168 00:06:12,230 --> 00:06:10,560 their food as a way if salmonella 169 00:06:14,710 --> 00:06:12,240 actually actually accidentally got in 170 00:06:17,590 --> 00:06:14,720 their food it missed being detected 171 00:06:20,230 --> 00:06:17,600 to keep them safe and it could be 172 00:06:22,150 --> 00:06:20,240 of direct interest for how to keep food 173 00:06:24,309 --> 00:06:22,160 safe down here because we hear about 174 00:06:26,870 --> 00:06:24,319 salmonella recalls all the time you know 175 00:06:28,629 --> 00:06:26,880 in foods so maybe if salmonella got into 176 00:06:30,790 --> 00:06:28,639 the food but you had the right level of 177 00:06:32,469 --> 00:06:30,800 ions or phosphates in that processed 178 00:06:34,309 --> 00:06:32,479 food you might not have to worry about 179 00:06:37,909 --> 00:06:34,319 it so these are just examples of how we 180 00:06:40,070 --> 00:06:37,919 can hopefully help the crew and us be 181 00:06:41,909 --> 00:06:40,080 healthier on the ground this came up on 182 00:06:43,110 --> 00:06:41,919 the latest spacex i think so when when 183 00:06:45,830 --> 00:06:43,120 do you think you'll start getting some 184 00:06:46,870 --> 00:06:45,840 of the results back to the ground we are 185 00:06:48,790 --> 00:06:46,880 so there are three parts of the 186 00:06:50,309 --> 00:06:48,800 experiment some of the first part of the 187 00:06:51,990 --> 00:06:50,319 experiment we're already starting to get 188 00:06:54,790 --> 00:06:52,000 back so the first part of the experiment 189 00:06:57,430 --> 00:06:54,800 is is real-time profiling of the actual 190 00:07:00,710 --> 00:06:57,440 infection process from beginning to end 191 00:07:03,110 --> 00:07:00,720 and the first video started coming down 192 00:07:05,430 --> 00:07:03,120 uh the minute the very second almost the 193 00:07:06,870 --> 00:07:05,440 infection started okay and we're 194 00:07:09,029 --> 00:07:06,880 profiling that throughout the course of 195 00:07:11,029 --> 00:07:09,039 14 days we're getting a lot of real-time 196 00:07:12,629 --> 00:07:11,039 data coming down and we of course have 197 00:07:14,309 --> 00:07:12,639 to pair that compare that to our 198 00:07:15,589 --> 00:07:14,319 identical ground controls so we're 199 00:07:19,029 --> 00:07:15,599 already getting that part of the 200 00:07:21,510 --> 00:07:19,039 experiment down uh the other two parts 201 00:07:23,189 --> 00:07:21,520 of the experiment uh have to do with the 202 00:07:25,189 --> 00:07:23,199 fact that the astronauts have to process 203 00:07:27,110 --> 00:07:25,199 they have to freeze or fix the samples 204 00:07:29,670 --> 00:07:27,120 for us and those analyses can only be 205 00:07:30,469 --> 00:07:29,680 done back here in our labs at asu 206 00:07:32,469 --> 00:07:30,479 so 207 00:07:33,430 --> 00:07:32,479 one of those is to look at 208 00:07:35,350 --> 00:07:33,440 um 209 00:07:37,350 --> 00:07:35,360 the language that the pathogen and the 210 00:07:39,110 --> 00:07:37,360 host are using when they're infecting 211 00:07:41,430 --> 00:07:39,120 each other uh but well when the pathogen 212 00:07:43,189 --> 00:07:41,440 is infecting the host because um 213 00:07:44,950 --> 00:07:43,199 they talk to each other and i kind of 214 00:07:47,909 --> 00:07:44,960 view the infection process as a high 215 00:07:49,510 --> 00:07:47,919 risk poker game right you get infected 216 00:07:51,510 --> 00:07:49,520 and your body has a response the 217 00:07:53,110 --> 00:07:51,520 pathogen comes back and counters that 218 00:07:55,029 --> 00:07:53,120 and you keep countering one another and 219 00:07:57,589 --> 00:07:55,039 if you have a functional and you know 220 00:07:59,830 --> 00:07:57,599 healthy immune system you usually win 221 00:08:02,230 --> 00:07:59,840 but you don't always win all the time 222 00:08:04,070 --> 00:08:02,240 and so we want to understand that that 223 00:08:05,990 --> 00:08:04,080 language between the two of them at a 224 00:08:08,070 --> 00:08:06,000 molecular level and an immune response 225 00:08:09,909 --> 00:08:08,080 level so those kinds of studies will be 226 00:08:12,390 --> 00:08:09,919 done on the ground back in my lab and 227 00:08:14,390 --> 00:08:12,400 then we're also going to look inside the 228 00:08:16,629 --> 00:08:14,400 worm with microscopes 229 00:08:18,469 --> 00:08:16,639 to find out where those pathogens are 230 00:08:20,230 --> 00:08:18,479 getting inside the worm in flight and 231 00:08:21,749 --> 00:08:20,240 how they differ with where they get when 232 00:08:23,990 --> 00:08:21,759 we do the experiment identically on the 233 00:08:27,270 --> 00:08:24,000 ground so we want to put together all of 234 00:08:30,150 --> 00:08:27,280 this information to better understand at 235 00:08:31,990 --> 00:08:30,160 a mechanistic level why we would see the 236 00:08:33,430 --> 00:08:32,000 difference that we hope we'll see in 237 00:08:36,070 --> 00:08:33,440 flight with the infection profile 238 00:08:38,709 --> 00:08:36,080 because that would allow us to then take 239 00:08:41,509 --> 00:08:38,719 that information and and and go towards 240 00:08:42,949 --> 00:08:41,519 uh some translational approaches 241 00:08:44,470 --> 00:08:42,959 well it all sounds very interesting we 242 00:08:46,070 --> 00:08:44,480 can't wait to hear how it goes in space 243 00:08:47,670 --> 00:08:46,080 and eventually see the results here on 244 00:08:49,509 --> 00:08:47,680 the ground thanks so much again for 245 00:08:51,590 --> 00:08:49,519 joining us cheryl nickerson is the 246 00:08:53,910 --> 00:08:51,600 professor of life sciences at the