1 00:00:08,210 --> 00:00:02,629 it will called calcein and this is a 2 00:00:10,250 --> 00:00:08,220 relatively impermeable molecule with 363 3 00:00:13,490 --> 00:00:10,260 Dalton the molecular weight is similar 4 00:00:15,259 --> 00:00:13,500 to typical chemotherapy and I'll just 5 00:00:17,779 --> 00:00:15,269 direct you through this these are 6 00:00:20,420 --> 00:00:17,789 microscopic images 10x looking at for 7 00:00:22,220 --> 00:00:20,430 tumor cells here GBM tumor cells and 8 00:00:25,189 --> 00:00:22,230 these mrs. control condition with no 9 00:00:29,210 --> 00:00:25,199 room for sound and just by looking why 10 00:00:32,420 --> 00:00:29,220 light microscopy and if we go across 11 00:00:34,310 --> 00:00:32,430 this is the looking at the fluorescent 12 00:00:36,770 --> 00:00:34,320 image of these same cells so you can see 13 00:00:38,479 --> 00:00:36,780 these four there's a little bit of the 14 00:00:40,760 --> 00:00:38,489 fluorescent dye tech passes into these 15 00:00:42,889 --> 00:00:40,770 cells under control conditions but when 16 00:00:44,510 --> 00:00:42,899 we apply infrasound the intensity of 17 00:00:47,000 --> 00:00:44,520 this fluorescence increases and so you 18 00:00:48,920 --> 00:00:47,010 can see that it's increasing the uptake 19 00:00:51,080 --> 00:00:48,930 of this fluorescent dye unity cells 20 00:00:55,400 --> 00:00:51,090 indicating the membrane is being more 21 00:01:00,319 --> 00:00:55,410 permanent so this is one experiment this 22 00:01:02,330 --> 00:01:00,329 is a histogram using a flow cytometers 23 00:01:05,690 --> 00:01:02,340 to be to get more quantitative measure 24 00:01:10,630 --> 00:01:05,700 of that so basically this is looking at 25 00:01:16,039 --> 00:01:10,640 10,000 events of measuring these 26 00:01:17,510 --> 00:01:16,049 increases so here is 10,000 events with 27 00:01:19,420 --> 00:01:17,520 no in person in the meeting of 28 00:01:22,780 --> 00:01:19,430 fluorescence is here so you see a shift 29 00:01:24,920 --> 00:01:22,790 towards more fluorescence in these cells 30 00:01:27,260 --> 00:01:24,930 so this is very exciting we made it 31 00:01:28,819 --> 00:01:27,270 halfway if we were seeing that we are 32 00:01:32,929 --> 00:01:28,829 seeing an impact on the membrane 33 00:01:34,929 --> 00:01:32,939 permeability with it for some so before 34 00:01:37,130 --> 00:01:34,939 moving to the second hypothesis we 35 00:01:40,160 --> 00:01:37,140 wanted to get a little bit better 36 00:01:42,920 --> 00:01:40,170 on what was coming out of this G machine 37 00:01:45,980 --> 00:01:42,930 because of this to this stage we were 38 00:01:47,300 --> 00:01:45,990 just pressing a button and there was a 39 00:01:48,500 --> 00:01:47,310 little bit light saying that something 40 00:01:50,270 --> 00:01:48,510 was coming out there but we couldn't 41 00:01:52,340 --> 00:01:50,280 hear it and we really just for trusting 42 00:01:54,710 --> 00:01:52,350 that this was making the Chico like 43 00:01:58,640 --> 00:01:54,720 stuff so we we got an engineer to come 44 00:02:01,399 --> 00:01:58,650 in and basically to a spectral analysis 45 00:02:05,060 --> 00:02:01,409 and and so we were pleased that we did 46 00:02:07,100 --> 00:02:05,070 indeed see infrasound that looking 47 00:02:10,999 --> 00:02:07,110 coming out the machine was was in this 48 00:02:13,940 --> 00:02:11,009 usually again the 20 Hertz cut off so we 49 00:02:19,460 --> 00:02:13,950 saw it here between seven and 15 with 50 00:02:23,570 --> 00:02:19,470 some peaks in between so we we forged 51 00:02:26,390 --> 00:02:23,580 ahead oh wait before we first add then 52 00:02:30,500 --> 00:02:26,400 there's 172 that to the chico machine 53 00:02:31,880 --> 00:02:30,510 and let me go back and you can see some 54 00:02:33,590 --> 00:02:31,890 of these peaks and there was this 55 00:02:38,120 --> 00:02:33,600 difference is it was basically get 56 00:02:39,590 --> 00:02:38,130 dynamic frequency and also the richard 57 00:02:41,120 --> 00:02:39,600 lee the scientific director at the 58 00:02:43,280 --> 00:02:41,130 Institute that produces the machine has 59 00:02:45,410 --> 00:02:43,290 spent some time talking to him they feel 60 00:02:49,009 --> 00:02:45,420 very strongly the dynamic component of 61 00:02:53,360 --> 00:02:49,019 this is very important to to protect 62 00:02:54,440 --> 00:02:53,370 against biological adaptation so we 63 00:02:56,630 --> 00:02:54,450 thought well this is really fascinating 64 00:02:58,069 --> 00:02:56,640 and then you know what before we move 65 00:03:00,080 --> 00:02:58,079 forward we wanted to be sure that we 66 00:03:03,020 --> 00:03:00,090 were going to be applying there the best 67 00:03:06,350 --> 00:03:03,030 kind of genome a half site that's kind 68 00:03:09,259 --> 00:03:06,360 of a infrasound so we wouldn't test that 69 00:03:11,150 --> 00:03:09,269 so we made our own g gold generator our 70 00:03:15,260 --> 00:03:11,160 infrasound generator 71 00:03:17,390 --> 00:03:15,270 and I am going to just get you to focus 72 00:03:20,180 --> 00:03:17,400 just on this cluster this this is a 73 00:03:22,100 --> 00:03:20,190 box-and-whisker plot and just to orient 74 00:03:24,080 --> 00:03:22,110 you to it we'll just stick with this 75 00:03:25,640 --> 00:03:24,090 cluster right here it's going to be you 76 00:03:27,530 --> 00:03:25,650 know we have data from four different 77 00:03:29,510 --> 00:03:27,540 human cell lines that are derived from 78 00:03:33,650 --> 00:03:29,520 four different GBM tumors to look for 79 00:03:36,050 --> 00:03:33,660 the generalizability of the results but 80 00:03:41,210 --> 00:03:36,060 just if we look at just one tumor here 81 00:03:44,240 --> 00:03:41,220 u87 the results of this box are from the 82 00:03:46,280 --> 00:03:44,250 dynamic output of the Chico machine and 83 00:03:49,540 --> 00:03:46,290 here are the results from our infrasonic 84 00:03:53,360 --> 00:03:49,550 generator at 8.5 just a single frequency 85 00:03:56,270 --> 00:03:53,370 11.6 and 15 now if you're not familiar 86 00:03:58,730 --> 00:03:56,280 with box and whisker plots there they're 87 00:04:02,570 --> 00:03:58,740 meant to give a depiction of all the 88 00:04:06,110 --> 00:04:02,580 data and basically that the mean is 89 00:04:09,170 --> 00:04:06,120 shown I know that it's convergence of 90 00:04:12,260 --> 00:04:09,180 the hourglass shape and the top of the 91 00:04:14,390 --> 00:04:12,270 box will be the 70 75th percentile than 92 00:04:15,740 --> 00:04:14,400 twenty fifty percent on the bottom the 93 00:04:17,510 --> 00:04:15,750 top of the whiskers are ninety-eight 94 00:04:20,449 --> 00:04:17,520 percent I on the bottom is that two 95 00:04:24,140 --> 00:04:20,459 percent and any outliers any and every 96 00:04:26,840 --> 00:04:24,150 outlier are shown with a cross and and 97 00:04:28,430 --> 00:04:26,850 just to take away from minutes you want 98 00:04:31,159 --> 00:04:28,440 to look for the boxes that don't overlap 99 00:04:33,320 --> 00:04:31,169 and and we really found that most of our 100 00:04:36,530 --> 00:04:33,330 boxes did overlap there were occasions 101 00:04:38,900 --> 00:04:36,540 where where we would get it looks like 102 00:04:40,580 --> 00:04:38,910 an effect but the overall message from 103 00:04:43,490 --> 00:04:40,590 this that we found is that for this 104 00:04:45,950 --> 00:04:43,500 outcome for membrane permeability with 105 00:04:50,360 --> 00:04:45,960 the infrasonic exposure we could pretty 106 00:04:52,670 --> 00:04:50,370 much say that we get we get this 107 00:04:54,980 --> 00:04:52,680 increase in in the fluorescent uptake 108 00:04:57,140 --> 00:04:54,990 whether we use the dynamic frequency or 109 00:05:01,400 --> 00:04:57,150 the single frequency another thing to 110 00:05:03,800 --> 00:05:01,410 note about in some cases the box is not 111 00:05:05,750 --> 00:05:03,810 overlapping is that for the different 112 00:05:07,490 --> 00:05:05,760 cell types there's a look there can be 113 00:05:12,770 --> 00:05:07,500 some differences so some of the reaction 114 00:05:14,750 --> 00:05:12,780 is it's not completely generalizable so 115 00:05:15,700 --> 00:05:14,760 now we move to hypothesis too and we're 116 00:05:18,310 --> 00:05:15,710 looking we're going 117 00:05:21,010 --> 00:05:18,320 the response to a chemotherapy so take 118 00:05:23,860 --> 00:05:21,020 you through the title slowly first we 119 00:05:27,100 --> 00:05:23,870 chose cisplatin very common chemotherapy 120 00:05:28,900 --> 00:05:27,110 it's a DNA damaging agent and our 121 00:05:31,720 --> 00:05:28,910 outcome measure with a pitocin and this 122 00:05:33,730 --> 00:05:31,730 is a its program cell death it's a very 123 00:05:37,300 --> 00:05:33,740 common outcome measure in cancer 124 00:05:38,830 --> 00:05:37,310 research and it's important because it's 125 00:05:41,830 --> 00:05:38,840 an important outcome for cancer because 126 00:05:44,830 --> 00:05:41,840 you said cell basically undergoing cell 127 00:05:46,030 --> 00:05:44,840 suicide rather than necrosis which can 128 00:05:48,910 --> 00:05:46,040 lead to inflammation and be more 129 00:05:50,770 --> 00:05:48,920 problematic so a good chemotherapy will 130 00:05:52,930 --> 00:05:50,780 induce apoptosis so that catch ourselves 131 00:05:57,970 --> 00:05:52,940 were just nice you know packaged up in 132 00:06:00,400 --> 00:05:57,980 and go away so to look at a pitocin we 133 00:06:02,830 --> 00:06:00,410 we stained we had two different stains 134 00:06:05,410 --> 00:06:02,840 and these the results again of a flow 135 00:06:08,290 --> 00:06:05,420 cytometer there are four panels for four 136 00:06:09,880 --> 00:06:08,300 different conditions so we'll get you 137 00:06:13,570 --> 00:06:09,890 know we can focus up here just to orient 138 00:06:15,760 --> 00:06:13,580 you to the craft therefore this is a 139 00:06:18,520 --> 00:06:15,770 control condition with no infrasound and 140 00:06:20,350 --> 00:06:18,530 no cisplatin so you can see that the 141 00:06:22,120 --> 00:06:20,360 healthy cells this is where they live on 142 00:06:25,240 --> 00:06:22,130 this kind of a plot and this lower left 143 00:06:28,450 --> 00:06:25,250 quadrant the end of you because they 144 00:06:31,270 --> 00:06:28,460 don't stain for annexin 5 and this is a 145 00:06:33,640 --> 00:06:31,280 stain that will pick up whenever a 146 00:06:36,070 --> 00:06:33,650 particular lipid will flip its 147 00:06:38,410 --> 00:06:36,080 orientation on the on the membrane and 148 00:06:41,530 --> 00:06:38,420 it's an indicator of the early stages of 149 00:06:45,400 --> 00:06:41,540 a pitocin or programmed cell death so 150 00:06:48,130 --> 00:06:45,410 these healthy cells do not move along 151 00:06:50,080 --> 00:06:48,140 the x-axis because they're not they 152 00:06:51,940 --> 00:06:50,090 don't have this flipping of a membrane 153 00:06:56,440 --> 00:06:51,950 that indicates they've kind of the early 154 00:06:58,390 --> 00:06:56,450 stages of AP ptosis this axis measures 155 00:07:00,490 --> 00:06:58,400 propidium iodide which is a vital dye 156 00:07:03,460 --> 00:07:00,500 which will be allowed into the cell at a 157 00:07:05,710 --> 00:07:03,470 late stage of of cell death regardless 158 00:07:07,810 --> 00:07:05,720 of whether it's a puto sasur not so if 159 00:07:10,600 --> 00:07:07,820 we just look at these quadrants what 160 00:07:12,940 --> 00:07:10,610 you'd see is healthy cells here and then 161 00:07:15,730 --> 00:07:12,950 when we treat them with the key 162 00:07:18,250 --> 00:07:15,740 therapy you see many of the population 163 00:07:20,710 --> 00:07:18,260 this is 24 hours later moving over and 164 00:07:23,040 --> 00:07:20,720 being stained as early a pathetic and 165 00:07:25,930 --> 00:07:23,050 then also moving up into this late stage 166 00:07:27,730 --> 00:07:25,940 cell death so you can see that you know 167 00:07:29,500 --> 00:07:27,740 at 24 hours there were some that were in 168 00:07:31,930 --> 00:07:29,510 the beginning of their program of death 169 00:07:33,700 --> 00:07:31,940 some had already progressed in till late 170 00:07:36,210 --> 00:07:33,710 stage and here's where debris is left 171 00:07:39,610 --> 00:07:36,220 there these are you know completely dead 172 00:07:41,800 --> 00:07:39,620 so this was control and as I've showed 173 00:07:43,840 --> 00:07:41,810 that this is where cisplatin treatment 174 00:07:46,870 --> 00:07:43,850 alone and you can see this death and 175 00:07:50,680 --> 00:07:46,880 then down here this is Empress sound 176 00:07:54,490 --> 00:07:50,690 treatment alone is pretty much 177 00:07:56,470 --> 00:07:54,500 indistinguishable from the the control 178 00:07:59,320 --> 00:07:56,480 condition so there we have the 179 00:08:01,900 --> 00:07:59,330 demonstration of non toxic nature of the 180 00:08:03,190 --> 00:08:01,910 infrasound in this model and we did see 181 00:08:05,770 --> 00:08:03,200 that you can see there are some more 182 00:08:08,590 --> 00:08:05,780 dots over here indicating that on top of 183 00:08:11,320 --> 00:08:08,600 the cisplatin effect we were seeing more 184 00:08:13,750 --> 00:08:11,330 so these are results and again these are 185 00:08:15,430 --> 00:08:13,760 10,000 events these are results from one 186 00:08:21,370 --> 00:08:15,440 experiment comparing the four conditions 187 00:08:23,890 --> 00:08:21,380 and so to look at again four different 188 00:08:25,720 --> 00:08:23,900 cell lines and this represents the data 189 00:08:27,730 --> 00:08:25,730 from three independent experiments for 190 00:08:29,680 --> 00:08:27,740 each of the lines compared to the 191 00:08:32,350 --> 00:08:29,690 control condition so again with 192 00:08:34,719 --> 00:08:32,360 infrasound alone you just saw this kind 193 00:08:36,820 --> 00:08:34,729 of noise not real not a significant 194 00:08:39,780 --> 00:08:36,830 difference in terms of programmed cell 195 00:08:42,370 --> 00:08:39,790 death rate mitosis this is platinum 196 00:08:44,260 --> 00:08:42,380 cause of death and in each case we saw 197 00:08:48,370 --> 00:08:44,270 an increase in the amount of death 198 00:08:50,020 --> 00:08:48,380 caused by the combination so this is 199 00:08:51,370 --> 00:08:50,030 this was a very exciting for us this is 200 00:08:54,430 --> 00:08:51,380 what we were looking for that we could 201 00:08:57,640 --> 00:08:54,440 see an impact in this non toxic agent to 202 00:09:02,560 --> 00:08:57,650 make that chemotherapy more effective so 203 00:09:05,350 --> 00:09:02,570 one more thing we wanted to ask was how 204 00:09:07,240 --> 00:09:05,360 much of the membrane effect how much 205 00:09:11,350 --> 00:09:07,250 could that explain of our cisplatin 206 00:09:13,630 --> 00:09:11,360 effect and this many regression gave us 207 00:09:16,860 --> 00:09:13,640 as you know admittedly it's only three 208 00:09:19,900 --> 00:09:16,870 points but gave us the confidence that 209 00:09:22,870 --> 00:09:19,910 we could talk about a mechanism to 210 00:09:25,060 --> 00:09:22,880 to please the NIH funders and say that 211 00:09:28,210 --> 00:09:25,070 indeed there was a tight correlation 212 00:09:30,280 --> 00:09:28,220 between this and and in addition to 213 00:09:32,950 --> 00:09:30,290 pleasing the funders that also perhaps a 214 00:09:35,080 --> 00:09:32,960 clinical application is that because we 215 00:09:37,720 --> 00:09:35,090 saw some variation and the cells derived 216 00:09:40,750 --> 00:09:37,730 from different tumors this this 217 00:09:42,700 --> 00:09:40,760 indicates it just a simple die just just 218 00:09:44,830 --> 00:09:42,710 looking at the ability of a simple die 219 00:09:46,810 --> 00:09:44,840 to be pushed in the South Amazon might 220 00:09:48,760 --> 00:09:46,820 predict for patient whether this would 221 00:09:49,980 --> 00:09:48,770 be appropriate for them in terms of 222 00:09:57,180 --> 00:09:49,990 assisting in their chemotherapy