1 00:00:06,150 --> 00:00:03,510 the team here in mission control is 2 00:00:07,909 --> 00:00:06,160 still assessing exactly how the problems 3 00:00:10,070 --> 00:00:07,919 with the cooling loop will be affecting 4 00:00:12,789 --> 00:00:10,080 the schedule for the station's upcoming 5 00:00:16,470 --> 00:00:12,799 events including uh the launch planned 6 00:00:18,470 --> 00:00:16,480 for next week of the cygnus uh vehicle 7 00:00:20,630 --> 00:00:18,480 but once the cygnus vehicle does go 8 00:00:21,910 --> 00:00:20,640 it'll be carrying to space several new 9 00:00:24,950 --> 00:00:21,920 experiments for the space station and we 10 00:00:26,310 --> 00:00:24,960 have with us today uh via phone dr david 11 00:00:27,830 --> 00:00:26,320 klaus to tell us about one of those 12 00:00:31,109 --> 00:00:27,840 experiments he's the principal 13 00:00:32,630 --> 00:00:31,119 investigator for the npl vaccine 21 14 00:00:34,950 --> 00:00:32,640 experiment and he's with the university 15 00:00:36,630 --> 00:00:34,960 of colorado dr klaus thanks so much for 16 00:00:37,750 --> 00:00:36,640 joining us oh my pleasure thanks for 17 00:00:39,190 --> 00:00:37,760 inviting me 18 00:00:41,430 --> 00:00:39,200 well why don't you tell us a little bit 19 00:00:43,270 --> 00:00:41,440 about what this experiment is 20 00:00:45,190 --> 00:00:43,280 okay first of all the the payload name 21 00:00:47,029 --> 00:00:45,200 is a little misleading it was manifested 22 00:00:49,750 --> 00:00:47,039 into this we were looking at vaccine 23 00:00:52,150 --> 00:00:49,760 development uh in recent flights uh this 24 00:00:53,670 --> 00:00:52,160 one rather than changing the the name 25 00:00:55,189 --> 00:00:53,680 we're slightly doing a different 26 00:00:56,950 --> 00:00:55,199 experiment it's looking at antibiotic 27 00:00:59,430 --> 00:00:56,960 effectiveness in space 28 00:01:01,430 --> 00:00:59,440 so not so much in developing a vaccine 29 00:01:03,110 --> 00:01:01,440 against a viral infection but and 30 00:01:05,590 --> 00:01:03,120 looking at antibiotics that would be 31 00:01:07,830 --> 00:01:05,600 used to treat bacterial infections okay 32 00:01:09,750 --> 00:01:07,840 and i think we have some some past um 33 00:01:11,270 --> 00:01:09,760 research that indicates that that they 34 00:01:12,710 --> 00:01:11,280 do work a little differently in space 35 00:01:14,149 --> 00:01:12,720 than they do here on the on the ground 36 00:01:16,390 --> 00:01:14,159 right there's a number of different 37 00:01:18,149 --> 00:01:16,400 phenomena that have been shown to occur 38 00:01:20,310 --> 00:01:18,159 starting with bacteria tend to grow 39 00:01:22,390 --> 00:01:20,320 better in general in space they they 40 00:01:24,550 --> 00:01:22,400 begin to grow a little sooner in the lag 41 00:01:26,789 --> 00:01:24,560 phase period and they reach higher final 42 00:01:28,550 --> 00:01:26,799 population densities 43 00:01:30,950 --> 00:01:28,560 other earlier studies have also shown 44 00:01:32,630 --> 00:01:30,960 that their bacteria are able to grow in 45 00:01:35,270 --> 00:01:32,640 the presence of what would normally be 46 00:01:37,990 --> 00:01:35,280 an inhibitory level of an antibiotic in 47 00:01:39,510 --> 00:01:38,000 a microgravity environment 48 00:01:40,950 --> 00:01:39,520 i'm sorry can you repeat that last part 49 00:01:42,630 --> 00:01:40,960 i didn't quite understand the last 50 00:01:44,630 --> 00:01:42,640 sentence there well normally you know 51 00:01:47,190 --> 00:01:44,640 antibiotics are used to kill the 52 00:01:49,350 --> 00:01:47,200 bacteria to treat bacterial infections 53 00:01:51,990 --> 00:01:49,360 but in a microgravity environment for a 54 00:01:53,510 --> 00:01:52,000 variety of reasons that are not yet 55 00:01:55,590 --> 00:01:53,520 fully understood 56 00:01:57,350 --> 00:01:55,600 it takes higher concentrations of the 57 00:02:00,149 --> 00:01:57,360 antibiotic in order to inhibit the 58 00:02:02,230 --> 00:02:00,159 growth or to kill the bacteria in space 59 00:02:03,590 --> 00:02:02,240 okay that's obviously something that 60 00:02:06,230 --> 00:02:03,600 that we would be interested in learning 61 00:02:08,790 --> 00:02:06,240 more about for for a number of reasons 62 00:02:10,150 --> 00:02:08,800 yes correct first of all uh well first 63 00:02:12,150 --> 00:02:10,160 and foremost i guess is for the 64 00:02:13,350 --> 00:02:12,160 protection of space travelers on long 65 00:02:15,030 --> 00:02:13,360 duration flights we want to have a 66 00:02:15,830 --> 00:02:15,040 better understanding of what's going on 67 00:02:18,790 --> 00:02:15,840 there 68 00:02:21,270 --> 00:02:18,800 um but also for terrestrial applications 69 00:02:23,030 --> 00:02:21,280 uh there's a number of people in the u.s 70 00:02:25,190 --> 00:02:23,040 i think the numbers around 100 000 71 00:02:27,830 --> 00:02:25,200 americans each year 72 00:02:29,750 --> 00:02:27,840 die from bacterial resistant infections 73 00:02:32,550 --> 00:02:29,760 and this is you know a huge financial 74 00:02:34,150 --> 00:02:32,560 burden not to mention the loss of life 75 00:02:35,589 --> 00:02:34,160 and the 76 00:02:37,670 --> 00:02:35,599 the study that we're looking at is is 77 00:02:39,910 --> 00:02:37,680 trying to understand a little better of 78 00:02:41,830 --> 00:02:39,920 how the bacteria acquire these uh 79 00:02:42,630 --> 00:02:41,840 drug-resistant mechanisms in the first 80 00:02:44,630 --> 00:02:42,640 place 81 00:02:46,309 --> 00:02:44,640 by watching observing and characterizing 82 00:02:47,509 --> 00:02:46,319 how they respond to the space flight 83 00:02:48,710 --> 00:02:47,519 environment where they seem to do it 84 00:02:50,949 --> 00:02:48,720 better 85 00:02:53,910 --> 00:02:50,959 and so how do you how do you study that 86 00:02:55,110 --> 00:02:53,920 in space do you i'm assuming obviously 87 00:02:56,630 --> 00:02:55,120 we don't infect the crew with something 88 00:02:58,630 --> 00:02:56,640 and then give them the vaccine so how do 89 00:03:00,790 --> 00:02:58,640 you how do you do that great this is all 90 00:03:03,509 --> 00:03:00,800 done via our microgravity test tube 91 00:03:05,670 --> 00:03:03,519 devices that allow the crew to mix these 92 00:03:08,390 --> 00:03:05,680 cells into the antibiotic concentrations 93 00:03:10,229 --> 00:03:08,400 and we basically have it set up so that 94 00:03:12,309 --> 00:03:10,239 the bacteria are going to be introduced 95 00:03:14,149 --> 00:03:12,319 to varying concentrations from 96 00:03:15,990 --> 00:03:14,159 sub-inhibitory levels to normally 97 00:03:17,589 --> 00:03:16,000 inhibitory to 98 00:03:20,070 --> 00:03:17,599 up to several times what would normally 99 00:03:21,990 --> 00:03:20,080 kill the bacteria so the indications are 100 00:03:23,990 --> 00:03:22,000 first of all whether they grow or not in 101 00:03:25,990 --> 00:03:24,000 these presence of the higher levels of 102 00:03:28,149 --> 00:03:26,000 drug and secondly when we bring them 103 00:03:29,830 --> 00:03:28,159 back we'll be doing genetic assays to 104 00:03:31,670 --> 00:03:29,840 look to see which genes might have been 105 00:03:33,350 --> 00:03:31,680 turned on or expressed differently into 106 00:03:35,350 --> 00:03:33,360 that environment 107 00:03:37,270 --> 00:03:35,360 that sounds fascinating how did how did 108 00:03:39,110 --> 00:03:37,280 y'all come up with the idea to 109 00:03:40,869 --> 00:03:39,120 to look into this 110 00:03:43,030 --> 00:03:40,879 well again this this is built on uh 111 00:03:44,390 --> 00:03:43,040 literature studies back to those studies 112 00:03:47,110 --> 00:03:44,400 the studies in the literature that date 113 00:03:49,270 --> 00:03:47,120 back to the 1980s it seems to be you 114 00:03:50,949 --> 00:03:49,280 know a lot of hit and miss one-off 115 00:03:52,550 --> 00:03:50,959 earlier experiments that have been done 116 00:03:54,869 --> 00:03:52,560 some really interesting findings and 117 00:03:57,110 --> 00:03:54,879 then for different reasons not followed 118 00:03:59,509 --> 00:03:57,120 up on so we've been uh we've been 119 00:04:01,670 --> 00:03:59,519 conducting research with bacteria for 120 00:04:02,949 --> 00:04:01,680 roughly 20 years now and under various 121 00:04:05,030 --> 00:04:02,959 space missions and different 122 00:04:06,710 --> 00:04:05,040 applications and this is just the next 123 00:04:08,470 --> 00:04:06,720 extension where we're really excited to 124 00:04:10,710 --> 00:04:08,480 see this particular one fly i am 125 00:04:12,550 --> 00:04:10,720 particularly excited to see this one 126 00:04:14,390 --> 00:04:12,560 coming to fruition i'm really anxious to 127 00:04:16,789 --> 00:04:14,400 see what the results show 128 00:04:20,229 --> 00:04:16,799 how long before you would have results 129 00:04:22,230 --> 00:04:20,239 is it is there a lag time to study the 130 00:04:23,670 --> 00:04:22,240 study what you get down the data 131 00:04:25,590 --> 00:04:23,680 before you were able to say anything 132 00:04:27,270 --> 00:04:25,600 conclusive yeah in our case you know 133 00:04:29,110 --> 00:04:27,280 we're going up on orbital one with this 134 00:04:30,790 --> 00:04:29,120 then we're coming back on a couple of 135 00:04:32,950 --> 00:04:30,800 different spacex flights so part of the 136 00:04:34,550 --> 00:04:32,960 payload is coming back on on the i 137 00:04:36,230 --> 00:04:34,560 believe the spacex three and then the 138 00:04:38,629 --> 00:04:36,240 next one spacex four if i recall 139 00:04:40,390 --> 00:04:38,639 correctly so once we get the samples 140 00:04:42,550 --> 00:04:40,400 back they'll be preserved in flight 141 00:04:44,230 --> 00:04:42,560 basically the crew will go in and 142 00:04:46,710 --> 00:04:44,240 activate the experiments and then 143 00:04:48,390 --> 00:04:46,720 terminate them for a timeline and then 144 00:04:49,830 --> 00:04:48,400 they're sitting there and just in stasis 145 00:04:51,510 --> 00:04:49,840 for the rest of the period waiting for 146 00:04:52,950 --> 00:04:51,520 the return flight once we get them back 147 00:04:54,790 --> 00:04:52,960 we'll be able to begin doing the data 148 00:04:58,790 --> 00:04:54,800 analysis 149 00:05:00,950 --> 00:04:58,800 do you have um any previous um 150 00:05:03,270 --> 00:05:00,960 conclusions have you been able to 151 00:05:05,670 --> 00:05:03,280 to draw on on why 152 00:05:06,950 --> 00:05:05,680 the space atmosphere affects vaccines 153 00:05:09,029 --> 00:05:06,960 like it does 154 00:05:10,950 --> 00:05:09,039 well the the interesting thing here is 155 00:05:13,350 --> 00:05:10,960 is whether or not it's unique to that 156 00:05:15,749 --> 00:05:13,360 environment like a localized effect and 157 00:05:17,670 --> 00:05:15,759 what happens in microgravity you know 158 00:05:20,150 --> 00:05:17,680 the bacteria normally are in a 159 00:05:22,710 --> 00:05:20,160 suspension in a fluid and they're slowly 160 00:05:24,950 --> 00:05:22,720 falling due to gravity and on earth when 161 00:05:27,350 --> 00:05:24,960 you take gravity away they tend to stay 162 00:05:28,870 --> 00:05:27,360 in the same place in in the microgravity 163 00:05:31,270 --> 00:05:28,880 uh environment 164 00:05:33,430 --> 00:05:31,280 and that changes the the chemical makeup 165 00:05:34,469 --> 00:05:33,440 of what's uh in their surrounding 166 00:05:36,150 --> 00:05:34,479 environment 167 00:05:39,189 --> 00:05:36,160 it's it's you know the technical term is 168 00:05:41,830 --> 00:05:39,199 reduced mass transport essentially the 169 00:05:44,070 --> 00:05:41,840 the it's often referred to as the cells 170 00:05:45,990 --> 00:05:44,080 end up living in their dirty bath water 171 00:05:48,070 --> 00:05:46,000 uh because molecules aren't moving away 172 00:05:49,909 --> 00:05:48,080 as quickly the cells not falling away 173 00:05:51,670 --> 00:05:49,919 from the excreted products and stuff is 174 00:05:53,749 --> 00:05:51,680 not getting into the cell as quickly 175 00:05:55,189 --> 00:05:53,759 from the outside wow that's that's 176 00:05:57,029 --> 00:05:55,199 really interesting 177 00:05:59,350 --> 00:05:57,039 so it must be nice to have the space 178 00:06:01,590 --> 00:05:59,360 station around to perform this sort of 179 00:06:03,029 --> 00:06:01,600 experiment on oh absolutely i wish we 180 00:06:05,110 --> 00:06:03,039 could be up there doing this ourselves 181 00:06:06,710 --> 00:06:05,120 it'd be even it'd be even better 182 00:06:08,309 --> 00:06:06,720 but it's going to be great to have the 183 00:06:10,070 --> 00:06:08,319 data come back 184 00:06:12,070 --> 00:06:10,080 and we're really anxious to see you know 185 00:06:13,830 --> 00:06:12,080 if first of all if the cells are able to 186 00:06:15,830 --> 00:06:13,840 grow as we expect they will in these 187 00:06:17,270 --> 00:06:15,840 levels of the drug and then secondly 188 00:06:19,029 --> 00:06:17,280 when we start looking at the genes that 189 00:06:21,189 --> 00:06:19,039 are responsible for how they're able to 190 00:06:23,430 --> 00:06:21,199 do that those are those are the two 191 00:06:25,590 --> 00:06:23,440 primary results that we're looking for 192 00:06:27,590 --> 00:06:25,600 for this first round of experiments 193 00:06:29,189 --> 00:06:27,600 well that's that's great we really look 194 00:06:30,870 --> 00:06:29,199 forward to hearing what you find out and