1
00:00:08,464 --> 00:00:10,164
Hard hitting medical truth,

2
00:00:10,544 --> 00:00:13,845
cutting through conflict and confusion to the understanding

3
00:00:14,065 --> 00:00:15,285
you're searching for.

4
00:00:16,019 --> 00:00:17,640
Join doctor Peter McCullough,

5
00:00:17,940 --> 00:00:21,460
world renowned medical expert and practicing physician, for

6
00:00:21,460 --> 00:00:23,640
this edition of the McCullough Report.

7
00:00:24,925 --> 00:00:27,105
Your life may depend on it.

8
00:00:32,640 --> 00:00:35,039
Let's get real. Let's get loud on America.

9
00:00:35,679 --> 00:00:38,159
Talk radio. This is a McCullough Report and

10
00:00:38,159 --> 00:00:41,354
courageous discourse subject. I'm doctor Peter McCullough, president

11
00:00:41,354 --> 00:00:42,575
of the McCullough Foundation.

12
00:00:43,034 --> 00:00:44,954
And it's my great pleasure to welcome to

13
00:00:44,954 --> 00:00:47,295
the show, doctor John Catanzaro.

14
00:00:47,914 --> 00:00:50,335
And, man, he has a background,

15
00:00:51,070 --> 00:00:54,030
and he's got some red hot ideas. And,

16
00:00:54,030 --> 00:00:55,649
you know, we've been looking for

17
00:00:56,189 --> 00:00:58,289
people in the biotech space

18
00:00:58,885 --> 00:01:00,185
to help us navigate

19
00:01:00,804 --> 00:01:03,924
through this really difficult time where 75% of

20
00:01:03,924 --> 00:01:06,805
Americans took a a a COVID 19 vaccine.

21
00:01:06,805 --> 00:01:07,545
Of those,

22
00:01:07,920 --> 00:01:10,480
94% took a messenger RNA vaccine. So the

23
00:01:10,560 --> 00:01:12,500
for the first time, they took some foreign

24
00:01:12,719 --> 00:01:15,359
RNA in their body. John, welcome to the

25
00:01:15,359 --> 00:01:17,060
show. Thank you so much for joining.

26
00:01:17,375 --> 00:01:18,894
Thank you, Peter. Thank you for having me

27
00:01:18,894 --> 00:01:20,594
on. Appreciate that so much.

28
00:01:22,015 --> 00:01:23,715
Tell us a little bit about your background.

29
00:01:23,775 --> 00:01:24,275
Yeah.

30
00:01:25,390 --> 00:01:26,590
My my background is,

31
00:01:27,150 --> 00:01:28,290
kinda long.

32
00:01:29,069 --> 00:01:29,890
My original,

33
00:01:31,230 --> 00:01:33,790
delve into technology was in the aerospace industry,

34
00:01:33,790 --> 00:01:34,415
and then

35
00:01:34,974 --> 00:01:37,155
saw my second career was moving into,

36
00:01:38,094 --> 00:01:40,174
integrative medicine. So I I was,

37
00:01:40,814 --> 00:01:42,995
you know, graduate of Bastyr University

38
00:01:43,454 --> 00:01:46,629
and, worked in integrative oncology for about 25

39
00:01:46,689 --> 00:01:48,049
years, and so I worked with a lot

40
00:01:48,049 --> 00:01:49,189
of resistant illnesses.

41
00:01:49,969 --> 00:01:51,829
And then I retired in 2017

42
00:01:53,075 --> 00:01:56,295
and started Neo 7 Bioscience, a biotech company

43
00:01:56,515 --> 00:02:00,454
that specifically focuses in on personalized precision therapeutic

44
00:02:00,515 --> 00:02:01,015
development.

45
00:02:01,840 --> 00:02:03,760
And I am the cofounder and the CEO

46
00:02:03,760 --> 00:02:04,659
of this company.

47
00:02:05,200 --> 00:02:06,959
It's privately held, and,

48
00:02:07,359 --> 00:02:08,180
and so

49
00:02:08,639 --> 00:02:10,580
just wanted people to know that,

50
00:02:11,444 --> 00:02:13,944
this is, this is what our company does.

51
00:02:15,685 --> 00:02:17,365
And, basically, it,

52
00:02:18,004 --> 00:02:19,145
through the whole process,

53
00:02:19,569 --> 00:02:19,969
I don't

54
00:02:20,770 --> 00:02:21,909
my work in,

55
00:02:22,770 --> 00:02:23,590
in molecular,

56
00:02:24,530 --> 00:02:25,030
genetics,

57
00:02:25,409 --> 00:02:27,110
as well as proteomics and

58
00:02:27,490 --> 00:02:28,390
working with,

59
00:02:28,775 --> 00:02:30,155
you know, peptide engineering,

60
00:02:31,094 --> 00:02:32,474
had allowed me to,

61
00:02:33,254 --> 00:02:34,555
integrate that into,

62
00:02:35,174 --> 00:02:38,219
practice with with patients for for that, you

63
00:02:38,219 --> 00:02:40,620
know, almost 25 years, as I mentioned. And

64
00:02:40,620 --> 00:02:42,139
so we were able to collect a lot

65
00:02:42,139 --> 00:02:42,799
of data,

66
00:02:43,739 --> 00:02:45,500
through those years. We made a a lot

67
00:02:45,500 --> 00:02:46,884
of headway with,

68
00:02:47,364 --> 00:02:50,584
many patients with resistant cancers and resistant illnesses,

69
00:02:51,125 --> 00:02:52,504
and we were able to,

70
00:02:53,125 --> 00:02:55,144
make a significant mark in,

71
00:02:55,444 --> 00:02:57,319
life extension, quality of life,

72
00:02:58,099 --> 00:03:01,000
and helping people to recover from pretty devastating

73
00:03:01,060 --> 00:03:01,560
illnesses,

74
00:03:02,180 --> 00:03:03,060
using these,

75
00:03:03,460 --> 00:03:04,360
type of personalizations.

76
00:03:05,355 --> 00:03:06,014
So with

77
00:03:06,314 --> 00:03:09,194
that, in our expansion into Neo7 Bioscience, because

78
00:03:09,194 --> 00:03:11,435
we've actually had opportunity to look at a

79
00:03:11,435 --> 00:03:12,735
lot of patient data,

80
00:03:13,909 --> 00:03:16,730
we have come across many type of resistant

81
00:03:16,790 --> 00:03:18,250
illnesses, including cancer,

82
00:03:18,870 --> 00:03:20,490
that have a strong association

83
00:03:20,870 --> 00:03:21,370
with,

84
00:03:21,750 --> 00:03:22,650
the mRNA

85
00:03:23,574 --> 00:03:24,474
spike protein,

86
00:03:25,014 --> 00:03:26,074
and also,

87
00:03:27,254 --> 00:03:28,314
segments of mRNA

88
00:03:29,094 --> 00:03:29,594
influencing

89
00:03:30,294 --> 00:03:31,514
ribosomal shifting,

90
00:03:33,849 --> 00:03:36,189
and pretty much corrupting transcription translation,

91
00:03:37,930 --> 00:03:41,745
type activity, which cause causes more of, aberrant

92
00:03:41,745 --> 00:03:43,825
type molecular signals. So we get to see

93
00:03:43,825 --> 00:03:47,344
these aberrant molecular signals very plainly in the

94
00:03:47,344 --> 00:03:49,205
molecular data of the patients.

95
00:03:50,129 --> 00:03:52,129
So now we've been able we've been able

96
00:03:52,129 --> 00:03:52,870
to compare,

97
00:03:53,330 --> 00:03:54,150
some significant,

98
00:03:54,930 --> 00:03:57,490
data data sets of patients that have these

99
00:03:57,490 --> 00:03:59,590
resistant illnesses, including cancer

100
00:04:00,044 --> 00:04:02,685
and chronic inflammatory disease and people that have

101
00:04:02,685 --> 00:04:04,625
been vaccinated with the COVID mRNA.

102
00:04:05,564 --> 00:04:08,204
And we find that correlation very high. I

103
00:04:08,204 --> 00:04:11,120
mean, a a very a very prominent part

104
00:04:11,120 --> 00:04:13,699
is when we see, RNA transcription amplification.

105
00:04:14,319 --> 00:04:16,419
So we get to see some things like,

106
00:04:17,375 --> 00:04:17,875
the

107
00:04:18,214 --> 00:04:21,035
WNT pathways, the notch pathways. People,

108
00:04:21,975 --> 00:04:23,894
you know, don't maybe may not understand everything

109
00:04:23,894 --> 00:04:26,250
about what these pathways do, but they're cell

110
00:04:26,250 --> 00:04:29,550
proliferating pathways. They actually cause cell cellular dysregulation,

111
00:04:31,129 --> 00:04:34,490
which allow for a higher probability of excess

112
00:04:34,490 --> 00:04:35,754
mutations to occur.

113
00:04:37,035 --> 00:04:39,995
And we also see the DNA mismatch repair

114
00:04:39,995 --> 00:04:40,495
proteins,

115
00:04:40,795 --> 00:04:42,254
affected quite significantly.

116
00:04:42,795 --> 00:04:44,735
And we also have been

117
00:04:45,339 --> 00:04:46,639
looking really,

118
00:04:47,180 --> 00:04:50,240
in detail with immune immune regulatory proteins

119
00:04:50,860 --> 00:04:51,759
that are skewed,

120
00:04:52,345 --> 00:04:54,425
in most patient data sets. So we get

121
00:04:54,425 --> 00:04:55,645
to see immune regulation,

122
00:04:56,585 --> 00:04:57,964
fault, you know, faulting,

123
00:04:58,585 --> 00:05:00,819
a lot of the variant signals with these

124
00:05:00,819 --> 00:05:01,319
proteins,

125
00:05:01,860 --> 00:05:04,600
in association with, you know, with that mRNA

126
00:05:04,660 --> 00:05:05,160
splice

127
00:05:07,714 --> 00:05:09,975
type segment of the of the RNA.

128
00:05:11,154 --> 00:05:12,935
Yeah. It doesn't look good.

129
00:05:13,555 --> 00:05:15,839
But let's, let's try to fill out

130
00:05:16,240 --> 00:05:17,860
this, your company,

131
00:05:18,240 --> 00:05:20,259
and this whole idea of peptides.

132
00:05:20,800 --> 00:05:21,300
So

133
00:05:21,600 --> 00:05:24,019
some of our listeners are doctors or nurses,

134
00:05:24,160 --> 00:05:25,884
but many are just the lay people.

135
00:05:26,264 --> 00:05:28,425
You know, what is a peptide, and and

136
00:05:28,425 --> 00:05:29,704
what do you mean by when you, you

137
00:05:29,704 --> 00:05:32,125
know, give it therapeutically to a cancer patient?

138
00:05:33,460 --> 00:05:35,800
You know, peptides are building blocks of proteins.

139
00:05:36,980 --> 00:05:37,879
Basically, they're

140
00:05:38,180 --> 00:05:40,980
formed by, an assembly of amino acids, and

141
00:05:40,980 --> 00:05:43,495
those amino acids build the protein. Right?

142
00:05:43,875 --> 00:05:45,414
And and our

143
00:05:45,714 --> 00:05:47,254
our bodies actually have,

144
00:05:47,634 --> 00:05:50,274
a significant number of functional proteins that keep

145
00:05:50,274 --> 00:05:51,779
proper function of the body,

146
00:05:52,080 --> 00:05:54,800
proper feedback of the body. So peptides are

147
00:05:54,800 --> 00:05:57,060
very important elements in protein building,

148
00:05:57,600 --> 00:05:59,460
and and they are the result

149
00:06:00,319 --> 00:06:00,754
of

150
00:06:01,795 --> 00:06:03,254
the things we're talking about,

151
00:06:03,634 --> 00:06:04,935
gen genetic signaling,

152
00:06:05,395 --> 00:06:05,895
DNA

153
00:06:06,355 --> 00:06:08,889
movement into messenger RNA, you know, all the

154
00:06:08,889 --> 00:06:10,589
stuff that I was mentioning about ribosomes,

155
00:06:11,290 --> 00:06:13,290
frame shifting and stuff like that. All of

156
00:06:13,290 --> 00:06:15,850
these all of these elements are important in

157
00:06:15,850 --> 00:06:16,990
being able to

158
00:06:17,290 --> 00:06:17,790
code

159
00:06:18,235 --> 00:06:20,394
for those peptides to build in a in

160
00:06:20,394 --> 00:06:21,134
a strong,

161
00:06:21,675 --> 00:06:22,735
structural protein.

162
00:06:23,514 --> 00:06:24,794
And what we see,

163
00:06:26,089 --> 00:06:29,209
when these, proteins are affected in a negative

164
00:06:29,209 --> 00:06:31,610
and adverse way, these proteins wind up having

165
00:06:31,610 --> 00:06:32,110
points,

166
00:06:32,490 --> 00:06:32,889
of,

167
00:06:33,449 --> 00:06:33,949
shifting

168
00:06:34,425 --> 00:06:36,745
to where we can see that the protein

169
00:06:36,745 --> 00:06:39,544
structure on simulation is not as tightly bound

170
00:06:39,544 --> 00:06:41,144
as it should be. So we get to

171
00:06:41,144 --> 00:06:42,764
see a lot of different molecular

172
00:06:43,305 --> 00:06:43,805
implications

173
00:06:44,290 --> 00:06:45,990
when a protein is not healthy.

174
00:06:47,009 --> 00:06:48,389
And in cancer,

175
00:06:49,170 --> 00:06:51,649
what are the what's the roles of these,

176
00:06:52,050 --> 00:06:53,910
aberrant proteins? Do they

177
00:06:54,305 --> 00:06:54,964
foster tumor

178
00:06:55,345 --> 00:06:56,725
growth or metastases?

179
00:06:57,105 --> 00:06:59,205
Or, you know, what are they doing?

180
00:06:59,824 --> 00:07:01,845
Yes. The aberrant proteins,

181
00:07:02,305 --> 00:07:03,264
you know, as

182
00:07:03,759 --> 00:07:05,060
in the cancer evolution,

183
00:07:06,000 --> 00:07:08,420
affect things like tumor promoters, tumor suppressors,

184
00:07:08,800 --> 00:07:11,520
tumor regulators. So a lot of these activities

185
00:07:11,520 --> 00:07:13,745
that are happening that are driven by various

186
00:07:13,745 --> 00:07:15,764
type of immune molecular signals,

187
00:07:16,225 --> 00:07:18,805
we'll find that can corrupt the signal messages

188
00:07:19,024 --> 00:07:21,365
that affect more tumor promoting activity,

189
00:07:21,759 --> 00:07:23,779
the failure of tumor suppressor activity,

190
00:07:24,240 --> 00:07:26,800
more high grade mutations to develop that actually

191
00:07:26,800 --> 00:07:28,500
cause more migrational shifts,

192
00:07:29,335 --> 00:07:30,154
in the cancer.

193
00:07:31,014 --> 00:07:34,295
We see these correlations quite regularly with these,

194
00:07:34,615 --> 00:07:36,395
when we're looking at these molecular

195
00:07:36,774 --> 00:07:37,274
profiles.

196
00:07:38,009 --> 00:07:39,610
So so when when these,

197
00:07:40,089 --> 00:07:42,830
abnormal proteins are identified in cancer,

198
00:07:44,170 --> 00:07:46,589
what is the therapeutic opportunity then?

199
00:07:46,954 --> 00:07:47,935
Well, therapeutic

200
00:07:48,555 --> 00:07:49,055
opportunity,

201
00:07:49,995 --> 00:07:50,974
what we have,

202
00:07:51,675 --> 00:07:54,254
developed anyway is we we take these molecular

203
00:07:54,314 --> 00:07:56,420
high fault signals that we see in in

204
00:07:56,420 --> 00:07:58,519
the evolution. So we do a very extensive,

205
00:07:59,139 --> 00:07:59,639
interrogation

206
00:08:00,019 --> 00:08:00,759
and prediction.

207
00:08:01,300 --> 00:08:03,160
And in our interrogation and prediction,

208
00:08:03,564 --> 00:08:06,045
we are able to locate the top high

209
00:08:06,045 --> 00:08:08,525
ranking signal targets that are creating resistance in

210
00:08:08,525 --> 00:08:10,845
the cancer evolution. So like in other words,

211
00:08:10,845 --> 00:08:11,965
we'll take a look at it and we'll

212
00:08:11,965 --> 00:08:14,500
say, okay. We we've got significant amount of

213
00:08:14,500 --> 00:08:16,920
proteins that are that are based on hallmark

214
00:08:16,980 --> 00:08:18,199
expressions of the cancer.

215
00:08:18,579 --> 00:08:20,759
There are 15 known hallmarks currently,

216
00:08:21,305 --> 00:08:22,044
and and

217
00:08:22,664 --> 00:08:24,904
and we're seeing a lot more development to

218
00:08:24,904 --> 00:08:27,305
where there's more hallmarks involved. But like for

219
00:08:27,305 --> 00:08:29,625
instance, a good example of a hallmark is

220
00:08:29,625 --> 00:08:30,125
dysregulated

221
00:08:30,479 --> 00:08:30,979
dysregulated

222
00:08:31,279 --> 00:08:34,980
immune function or tumor promoting or cell proliferation

223
00:08:35,759 --> 00:08:36,259
or,

224
00:08:37,519 --> 00:08:38,794
you know, DNA instability. There's a lot of

225
00:08:38,794 --> 00:08:39,294
for,

226
00:08:48,250 --> 00:08:51,129
very dysfunctional activity in the in the landscape

227
00:08:51,129 --> 00:08:51,949
of the cancer.

228
00:08:52,329 --> 00:08:54,250
And so what we could see is the

229
00:08:54,250 --> 00:08:57,129
degree by which these proteins influence and how

230
00:08:57,129 --> 00:09:00,065
they then affect their sister targets down the

231
00:09:00,065 --> 00:09:01,504
line. So in other words, you can have

232
00:09:01,504 --> 00:09:02,004
a

233
00:09:02,464 --> 00:09:05,044
top level signal target that can influence

234
00:09:05,424 --> 00:09:05,745
string,

235
00:09:06,450 --> 00:09:09,490
sister relationship proteins that are also drivers in

236
00:09:09,490 --> 00:09:11,889
the cancer evolution as well. So what we

237
00:09:11,889 --> 00:09:13,970
do is we find the,

238
00:09:14,450 --> 00:09:17,014
the the peptides that are direct,

239
00:09:18,034 --> 00:09:20,054
influences that either will mitigate,

240
00:09:20,995 --> 00:09:21,495
potentiate,

241
00:09:21,875 --> 00:09:22,615
or regulate

242
00:09:23,289 --> 00:09:24,029
those proteins

243
00:09:24,649 --> 00:09:25,149
appropriately

244
00:09:25,690 --> 00:09:28,509
and allow for signal changes in in expression

245
00:09:28,730 --> 00:09:32,190
to assist with the ability to eradicate cancer.

246
00:09:33,174 --> 00:09:34,315
Are these proteins

247
00:09:35,894 --> 00:09:37,355
themselves, are they completely

248
00:09:40,509 --> 00:09:42,269
unnecessary? I mean, if if one was to

249
00:09:42,269 --> 00:09:44,669
take them out with a monoclonal antibody, would

250
00:09:44,669 --> 00:09:46,910
would that be a a strategy, or do

251
00:09:46,910 --> 00:09:48,129
you need some of them?

252
00:09:49,044 --> 00:09:50,804
Well, you know, some of these proteins and

253
00:09:50,804 --> 00:09:53,365
what we've been learning through our research is

254
00:09:53,365 --> 00:09:54,485
we find that,

255
00:09:54,884 --> 00:09:57,445
you know, these cancer expressions involve more than

256
00:09:57,445 --> 00:09:59,529
one target. You know, in the conventional

257
00:09:59,990 --> 00:10:00,490
community,

258
00:10:00,870 --> 00:10:02,870
currently, what we see in research is that

259
00:10:02,870 --> 00:10:05,029
we isolate one target. Like, for instance, if

260
00:10:05,029 --> 00:10:06,970
you look at BRCA 1 and BRCA 2,

261
00:10:07,664 --> 00:10:09,105
as, you know, very,

262
00:10:09,985 --> 00:10:11,365
very fashionable targets.

263
00:10:12,144 --> 00:10:14,200
Unfortunately, a lot of people are not aware

264
00:10:14,200 --> 00:10:16,840
that BRCA is associated with the BRCA complex,

265
00:10:16,840 --> 00:10:18,620
which actually influences about

266
00:10:19,000 --> 00:10:22,540
15 or 20 other particular gene protein relationships.

267
00:10:22,679 --> 00:10:23,179
Right?

268
00:10:23,595 --> 00:10:25,774
So so the signaling is a cross signaling

269
00:10:25,835 --> 00:10:27,914
relationship that happens across the board. So you

270
00:10:27,914 --> 00:10:30,715
can never just say, oh, well, this bracket

271
00:10:30,715 --> 00:10:32,879
is, you know, is the problem. And I

272
00:10:32,879 --> 00:10:35,040
give you an example of that. When we

273
00:10:35,040 --> 00:10:36,100
had a patient,

274
00:10:36,559 --> 00:10:37,040
whose,

275
00:10:37,440 --> 00:10:39,059
mother passed away from,

276
00:10:39,840 --> 00:10:42,340
breast cancer and she was bracket 2 positive,

277
00:10:42,384 --> 00:10:44,725
Then the sister was also BRCA 2 positive,

278
00:10:45,345 --> 00:10:47,745
but the other sister was BRCA 2 negative,

279
00:10:47,745 --> 00:10:49,445
which is the patient that we analyzed.

280
00:10:50,240 --> 00:10:53,059
And what we found was she had a,

281
00:10:53,679 --> 00:10:54,980
expressed protein

282
00:10:55,600 --> 00:10:58,500
in the proteomics portion excreted in her urine,

283
00:10:58,815 --> 00:11:00,894
and the BRCA 2 was positive in her

284
00:11:00,894 --> 00:11:03,475
urine. So she did not have a mutation

285
00:11:03,774 --> 00:11:05,475
in her main genomic dataset,

286
00:11:06,070 --> 00:11:08,389
which but she had the disease related protein

287
00:11:08,389 --> 00:11:10,549
being expressed in her urine, which is a

288
00:11:10,549 --> 00:11:13,029
very hot biomarker. Right? So a lot of

289
00:11:13,029 --> 00:11:14,815
the times, but, you know, you wind up

290
00:11:14,815 --> 00:11:16,115
detecting these things,

291
00:11:17,215 --> 00:11:19,455
by looking at the genomics, by looking the

292
00:11:19,455 --> 00:11:21,934
transcriptomics, by looking at the proteomics, and by

293
00:11:21,934 --> 00:11:24,899
looking at the patient's own HLA immunophenotype.

294
00:11:25,840 --> 00:11:27,779
And when we actually see what their susceptibility

295
00:11:28,000 --> 00:11:30,419
and compatibility is, these are important drivers

296
00:11:30,720 --> 00:11:32,179
in being able to identify

297
00:11:32,934 --> 00:11:33,674
how to get

298
00:11:34,134 --> 00:11:37,495
more intelligent into that disease space to influence

299
00:11:37,495 --> 00:11:37,995
it,

300
00:11:38,615 --> 00:11:39,995
to allow for eradication

301
00:11:40,490 --> 00:11:42,889
of that particular cancer or those cells or

302
00:11:42,889 --> 00:11:45,230
the or that particular tumor. Right?

303
00:11:45,769 --> 00:11:46,889
So are those proteins,

304
00:11:47,764 --> 00:11:49,764
at least some of them also amenable to

305
00:11:49,764 --> 00:11:52,565
be disease markers that you could measure to

306
00:11:52,565 --> 00:11:54,024
see about progression of disease?

307
00:11:54,485 --> 00:11:57,669
Absolutely. Absolutely. Yes. Yep. For sure.

308
00:11:58,149 --> 00:11:59,750
So is it fair to say, you know,

309
00:11:59,750 --> 00:12:02,169
there's been such a big focus on genetic

310
00:12:03,509 --> 00:12:06,789
abnormalities in cancer that there's been a lesser

311
00:12:06,789 --> 00:12:10,235
focus on proteomic or protein changes in cancer.

312
00:12:11,254 --> 00:12:12,935
But what we're hearing from you is that

313
00:12:12,935 --> 00:12:14,075
the protein changes,

314
00:12:14,829 --> 00:12:17,329
boy, those look pretty good to study

315
00:12:18,190 --> 00:12:20,769
as targets, whether they be with

316
00:12:21,149 --> 00:12:21,649
interfering

317
00:12:22,110 --> 00:12:22,610
or

318
00:12:23,034 --> 00:12:23,534
modulating

319
00:12:23,914 --> 00:12:26,174
proteins or monoclonal antibodies.

320
00:12:26,714 --> 00:12:28,394
And also, we can you know, the nice

321
00:12:28,394 --> 00:12:30,154
thing about proteins, most people know this, we

322
00:12:30,154 --> 00:12:32,289
can measure them in blood. We can do

323
00:12:32,289 --> 00:12:34,049
a blood sample, or we can measure them

324
00:12:34,049 --> 00:12:35,029
in urine too,

325
00:12:35,970 --> 00:12:38,209
and then assess for markers. So it sounds

326
00:12:38,209 --> 00:12:41,075
like this is a pretty hot area. What

327
00:12:41,075 --> 00:12:43,014
type of tech do you use

328
00:12:43,475 --> 00:12:43,955
to,

329
00:12:44,514 --> 00:12:45,014
examine

330
00:12:45,794 --> 00:12:48,375
proteins and the library of proteins potentially

331
00:12:48,754 --> 00:12:49,414
at play?

332
00:12:50,259 --> 00:12:50,759
Excellent.

333
00:12:51,220 --> 00:12:54,019
We we have high definition okay. So looking

334
00:12:54,019 --> 00:12:56,279
at the complete picture, we do high high

335
00:12:56,340 --> 00:12:57,399
definition omics,

336
00:12:57,985 --> 00:13:00,545
which means high definite high definition genetics. And

337
00:13:00,545 --> 00:13:03,024
what difference between high definition is that we're

338
00:13:03,024 --> 00:13:05,825
not using shotgun shotgun type genetics where we're

339
00:13:05,825 --> 00:13:07,750
just trying to create array profiles.

340
00:13:08,210 --> 00:13:10,610
We're actually looking at high definition because the

341
00:13:10,610 --> 00:13:12,710
whole idea is we have an engineering output.

342
00:13:12,929 --> 00:13:15,735
So the engineering output is actually the personalized

343
00:13:15,794 --> 00:13:18,434
therapeutic that's developed for the patient. Right? So

344
00:13:18,434 --> 00:13:20,835
now when we're doing our proteomics, we're doing

345
00:13:20,835 --> 00:13:23,394
excretion proteomics, which means we're capturing things in

346
00:13:23,394 --> 00:13:25,959
the urine. We can actually capture 6,000 plus

347
00:13:26,179 --> 00:13:26,679
proteins

348
00:13:27,299 --> 00:13:29,480
in the urine. Not all of those proteins

349
00:13:29,539 --> 00:13:31,699
are based on normal functional rhythms, but they're

350
00:13:31,699 --> 00:13:33,480
actually based on disease expressions.

351
00:13:33,904 --> 00:13:36,625
Right? So we we know which ones, in

352
00:13:36,625 --> 00:13:38,725
our in our confidence mapping,

353
00:13:39,504 --> 00:13:42,870
are specific to a disease type, not just

354
00:13:42,870 --> 00:13:44,870
cancer, but we also see it in autoimmune

355
00:13:44,870 --> 00:13:45,769
disease too.

356
00:13:46,309 --> 00:13:46,809
And,

357
00:13:47,190 --> 00:13:49,350
so it's pretty it's pretty amazing to see

358
00:13:49,350 --> 00:13:51,184
it. So we the technology that we use

359
00:13:51,184 --> 00:13:53,985
is an exosomal technology in our proteomics, so

360
00:13:53,985 --> 00:13:56,384
it's a direct it actually uses direct and

361
00:13:56,384 --> 00:13:59,204
indirect, and it also uses exosomal extraction

362
00:13:59,750 --> 00:14:01,429
methods to be able to have a more

363
00:14:01,429 --> 00:14:03,929
high definition on the proteins that are captured.

364
00:14:04,309 --> 00:14:04,710
And,

365
00:14:05,269 --> 00:14:06,629
and so we're we're we're,

366
00:14:07,044 --> 00:14:09,524
you know, pretty excited about our technology that

367
00:14:09,524 --> 00:14:11,845
way because we can get proteins that no

368
00:14:11,845 --> 00:14:15,125
other institution can measure. And and what type

369
00:14:15,125 --> 00:14:17,179
of detail can you get on these proteins

370
00:14:17,179 --> 00:14:19,519
in terms of amino acid

371
00:14:19,899 --> 00:14:21,360
and structure and,

372
00:14:23,820 --> 00:14:24,570
you know,

373
00:14:26,334 --> 00:14:27,674
carboxylation, methylation, oxidation,

374
00:14:28,534 --> 00:14:29,034
glycosylation

375
00:14:29,414 --> 00:14:31,414
of side chains. Can you get, like, a

376
00:14:31,414 --> 00:14:33,914
really rich description of what this protein is?

377
00:14:34,100 --> 00:14:36,259
Yes. We we actually get the full descriptions

378
00:14:36,259 --> 00:14:38,419
of that. So we we'll we'll knowing, you

379
00:14:38,419 --> 00:14:40,440
know, all about the chemistry of the protein,

380
00:14:40,899 --> 00:14:43,075
you know, we're looking at the the polar

381
00:14:43,075 --> 00:14:45,075
shifting of the protein. We're looking at how

382
00:14:45,075 --> 00:14:47,154
it how it forms as a molecular SIM

383
00:14:47,154 --> 00:14:48,754
model where you had seen whether or not

384
00:14:48,754 --> 00:14:51,259
the protein has got, you know, intact structure.

385
00:14:52,360 --> 00:14:54,519
Because when we study these proteins, we actually

386
00:14:54,519 --> 00:14:56,360
have to look for the best peptide sequences

387
00:14:56,360 --> 00:14:58,440
that are gonna bind into the pockets. Right?

388
00:14:58,440 --> 00:15:00,735
So we are, you know, we're using a

389
00:15:00,735 --> 00:15:02,995
very sophisticated technology to do it.

390
00:15:03,695 --> 00:15:04,894
And is this type of,

391
00:15:06,495 --> 00:15:09,049
modeling when, you know, we always hear about,

392
00:15:10,330 --> 00:15:12,570
forms of modeling to try to model how

393
00:15:12,570 --> 00:15:13,709
things would fit.

394
00:15:14,250 --> 00:15:16,970
Are you finding that the models now are

395
00:15:16,970 --> 00:15:17,470
sufficiently

396
00:15:18,315 --> 00:15:20,075
predictive that when you go to all the

397
00:15:20,075 --> 00:15:22,075
effort to actually create a peptide that it

398
00:15:22,075 --> 00:15:22,575
works?

399
00:15:23,434 --> 00:15:24,415
Yes. Yes.

400
00:15:24,794 --> 00:15:27,159
And we say that confidently because we've seen

401
00:15:27,159 --> 00:15:29,819
it work with, a lot of resistant cancer

402
00:15:30,600 --> 00:15:33,159
to where cancer cases in stage 4 become

403
00:15:33,159 --> 00:15:33,659
completely

404
00:15:34,120 --> 00:15:36,139
disease free. No evidence of disease.

405
00:15:36,504 --> 00:15:38,504
Wow. And we're we're also seeing it on,

406
00:15:38,504 --> 00:15:40,184
like, for instance, so when we talk about

407
00:15:40,184 --> 00:15:41,565
vaccine related injury,

408
00:15:42,184 --> 00:15:44,279
where we act where we're seeing an excessive

409
00:15:44,279 --> 00:15:47,019
amount of pro inflammatory activity on vasculature.

410
00:15:47,799 --> 00:15:49,799
And, we just recently picked up,

411
00:15:50,519 --> 00:15:52,139
an inoperable intracranial

412
00:15:52,679 --> 00:15:53,179
aneurysm,

413
00:15:54,134 --> 00:15:56,054
that was a direct cause of the COVID

414
00:15:56,054 --> 00:15:56,554
vaccine,

415
00:15:57,174 --> 00:15:58,154
type of injury.

416
00:15:58,615 --> 00:15:59,975
And this patient had,

417
00:16:00,615 --> 00:16:01,835
3 booster shots

418
00:16:02,470 --> 00:16:03,850
of the COVID vaccine.

419
00:16:04,389 --> 00:16:07,129
And so we actually just created a, intranasal

420
00:16:07,429 --> 00:16:09,830
design for this patient that, he will be

421
00:16:09,830 --> 00:16:12,284
starting pretty soon. But but the thing the

422
00:16:12,284 --> 00:16:13,884
thing about this is is that when you

423
00:16:13,884 --> 00:16:15,644
know what the signal targets are and what's

424
00:16:15,644 --> 00:16:18,064
like, for instance, on his on his profile,

425
00:16:18,809 --> 00:16:22,350
he had some very definite vascular vascular endothelial

426
00:16:22,730 --> 00:16:23,230
dysfunction.

427
00:16:23,610 --> 00:16:25,610
So that means that the capabilities of the

428
00:16:25,610 --> 00:16:28,095
vascular remodeling couldn't happen, and there was a

429
00:16:28,095 --> 00:16:30,034
lot of pro inflammatory activity,

430
00:16:31,054 --> 00:16:31,454
direct,

431
00:16:32,975 --> 00:16:33,475
directly

432
00:16:34,014 --> 00:16:36,000
seen on that particular,

433
00:16:37,019 --> 00:16:38,480
on his molecular expressions.

434
00:16:39,019 --> 00:16:41,440
So when we actually looked at his datasets,

435
00:16:42,299 --> 00:16:42,799
we,

436
00:16:43,264 --> 00:16:44,964
you know, developed a mitigation

437
00:16:45,345 --> 00:16:48,625
regulation strategy and an enhancement strategies to allow

438
00:16:48,625 --> 00:16:50,404
for better vascular integrity,

439
00:16:51,620 --> 00:16:54,360
which we believe would have a very good,

440
00:16:55,220 --> 00:16:57,779
potential because he's he's got no other options.

441
00:16:57,779 --> 00:16:59,399
He he's inoperable.

442
00:16:59,915 --> 00:17:01,295
He's a ticking time bomb

443
00:17:01,675 --> 00:17:04,154
and nothing else to do. So, we also

444
00:17:04,154 --> 00:17:07,450
coupled that with, with, exosomes, which would allow

445
00:17:07,450 --> 00:17:09,369
for the delivery to the targets that we

446
00:17:09,369 --> 00:17:11,529
wanna see. So we're pretty excited about this,

447
00:17:11,529 --> 00:17:13,769
but this is just an example of working

448
00:17:13,769 --> 00:17:14,169
with,

449
00:17:14,755 --> 00:17:16,375
vaccine related pro inflammatory

450
00:17:16,674 --> 00:17:17,815
destructive proteins.

451
00:17:18,674 --> 00:17:20,515
You know, we we you know as well

452
00:17:20,515 --> 00:17:22,595
as I do the rope protein effect by

453
00:17:22,595 --> 00:17:23,654
this frame shifting,

454
00:17:23,960 --> 00:17:26,599
this ribosomal frame shifting, and the, you know,

455
00:17:26,599 --> 00:17:29,079
open reading frame, you know, dysfunction that we

456
00:17:29,079 --> 00:17:29,579
see.

457
00:17:29,880 --> 00:17:31,099
And then this reincorporation

458
00:17:31,640 --> 00:17:32,299
of mRNA

459
00:17:33,305 --> 00:17:35,805
back into DNA by what we call a,

460
00:17:36,744 --> 00:17:39,005
a, splice DNA movement

461
00:17:39,305 --> 00:17:40,285
from the retrotranspose

462
00:17:40,825 --> 00:17:43,640
in action and using reverse transcriptase. So we

463
00:17:43,640 --> 00:17:44,539
actually see

464
00:17:44,919 --> 00:17:47,980
these type of activities by these transcription

465
00:17:48,279 --> 00:17:49,474
genes are

466
00:17:49,934 --> 00:17:51,154
definitely positive.

467
00:17:52,174 --> 00:17:54,174
So so the data does not lie. Let's

468
00:17:54,174 --> 00:17:56,255
just say that. The data is very, very

469
00:17:56,255 --> 00:17:58,194
pointed about showing us

470
00:17:58,599 --> 00:17:59,819
these discrepancies.

471
00:18:00,759 --> 00:18:02,359
Well, let me ask you just before we

472
00:18:02,359 --> 00:18:03,799
leave cancer and we get on to the

473
00:18:03,799 --> 00:18:05,904
vaccines because it sounds like you're really, you

474
00:18:05,904 --> 00:18:08,304
know, heading in just to such a big

475
00:18:08,304 --> 00:18:09,044
new field.

476
00:18:09,904 --> 00:18:12,544
Are there peptide products that you can point

477
00:18:12,544 --> 00:18:13,044
to

478
00:18:13,345 --> 00:18:14,085
in oncology

479
00:18:14,849 --> 00:18:15,349
that,

480
00:18:16,769 --> 00:18:19,269
are standard issue right now, or,

481
00:18:20,450 --> 00:18:22,549
is what you're describing in a sense

482
00:18:23,015 --> 00:18:25,595
uniquely personalized to each individual?

483
00:18:26,775 --> 00:18:27,414
Yes. It's,

484
00:18:28,054 --> 00:18:30,509
you know, there are, peptides out there that

485
00:18:30,509 --> 00:18:32,049
are known as the augmented,

486
00:18:32,430 --> 00:18:32,930
anticancer

487
00:18:33,309 --> 00:18:33,809
peptides.

488
00:18:34,269 --> 00:18:35,710
There are many of them out there. Like,

489
00:18:35,710 --> 00:18:37,549
for instance, there's a peptide out there called

490
00:18:37,549 --> 00:18:38,609
PNC 27,

491
00:18:39,095 --> 00:18:41,195
PNC 28. It's used in,

492
00:18:41,654 --> 00:18:43,575
pancreatic cancers, but it also could be used

493
00:18:43,575 --> 00:18:45,174
in some other cancers as well. It's got

494
00:18:45,174 --> 00:18:45,994
a very strong

495
00:18:46,539 --> 00:18:49,660
initiating outside the apoptosis movement or a pop

496
00:18:49,820 --> 00:18:51,119
the apoptotic movement.

497
00:18:51,980 --> 00:18:54,434
It it actually has a direct cell lysing

498
00:18:54,434 --> 00:18:56,914
effect on the cancer cells without any toxic

499
00:18:56,914 --> 00:18:59,394
effects or for surrounding cells. So that's a

500
00:18:59,394 --> 00:19:00,754
that's a pretty well known,

501
00:19:01,234 --> 00:19:01,734
anticancer

502
00:19:02,115 --> 00:19:02,615
peptide.

503
00:19:03,929 --> 00:19:06,509
But now when we talk about molecular personalizations,

504
00:19:06,809 --> 00:19:08,829
it's end of 1. So that means that,

505
00:19:08,970 --> 00:19:10,730
you know, you could have 2 people that

506
00:19:10,730 --> 00:19:12,884
have the same exact cancer, but, and they

507
00:19:12,884 --> 00:19:15,605
may have the same 2 similar targets, but

508
00:19:15,605 --> 00:19:18,585
their peptide sequences to the target are dynamically

509
00:19:18,724 --> 00:19:21,284
different. So, so that means they'll have a

510
00:19:21,284 --> 00:19:23,480
different expression, and it's not just to elicit

511
00:19:23,480 --> 00:19:24,460
t cell responses.

512
00:19:24,840 --> 00:19:26,279
So a lot of the time, the literature

513
00:19:26,279 --> 00:19:28,360
that's out there is kinda misleading because it's

514
00:19:28,360 --> 00:19:29,180
giving you,

515
00:19:29,904 --> 00:19:32,305
the it's giving you kinda like a condition

516
00:19:32,305 --> 00:19:34,325
like, oh, we're just using them as fashionable

517
00:19:34,464 --> 00:19:34,964
neoantigens

518
00:19:35,904 --> 00:19:37,210
and and potentiating

519
00:19:37,590 --> 00:19:41,049
activity against the cancer cells direct on discrepant

520
00:19:41,350 --> 00:19:44,650
cell expressions like the tumor associated antigens.

521
00:19:45,110 --> 00:19:46,974
But but the thing is is that they're

522
00:19:46,974 --> 00:19:48,434
more than that. These these

523
00:19:48,894 --> 00:19:50,034
personalized peptides

524
00:19:50,575 --> 00:19:51,315
are actually

525
00:19:51,694 --> 00:19:52,194
signal,

526
00:19:52,654 --> 00:19:53,154
propagators.

527
00:19:53,750 --> 00:19:55,830
So they they they work through a self

528
00:19:55,830 --> 00:19:58,070
assembly activity. Once they're in the body and

529
00:19:58,070 --> 00:20:01,590
they're properly scaffolds, they'll get into the interior

530
00:20:01,590 --> 00:20:03,704
of the cell and begin to change programming,

531
00:20:04,005 --> 00:20:05,144
not like mRNA,

532
00:20:05,845 --> 00:20:08,244
because the the peptides will work from a

533
00:20:08,244 --> 00:20:11,769
standpoint of facilitating a natural movement into a

534
00:20:11,769 --> 00:20:14,169
better a a better relationship in the cell

535
00:20:14,169 --> 00:20:14,669
machinery,

536
00:20:15,210 --> 00:20:18,329
whereas mRNA has very very fast decay rate

537
00:20:18,329 --> 00:20:21,244
and a very unpredictable rogue effect. So you

538
00:20:21,244 --> 00:20:23,984
won't have that with a well assembled

539
00:20:24,444 --> 00:20:25,664
personalized peptide.

540
00:20:26,284 --> 00:20:27,424
Well, now peptides,

541
00:20:28,139 --> 00:20:29,220
are we talking about,

542
00:20:29,659 --> 00:20:32,079
oral or intravenous or both?

543
00:20:33,740 --> 00:20:34,880
Mainly injectable,

544
00:20:35,259 --> 00:20:35,759
intravenous,

545
00:20:36,494 --> 00:20:37,794
subcutaneous, intramuscular,

546
00:20:38,815 --> 00:20:39,714
or intranasal

547
00:20:40,095 --> 00:20:42,755
because we also have intranasal deliveries as well.

548
00:20:42,815 --> 00:20:43,890
And then what,

549
00:20:44,529 --> 00:20:46,950
protects these peptides from just being,

550
00:20:47,730 --> 00:20:49,109
slipped by, you know,

551
00:20:49,410 --> 00:20:51,269
clipped by proteases, normal

552
00:20:51,724 --> 00:20:54,224
human proteases that just will digest it?

553
00:20:54,924 --> 00:20:56,764
It's the way that they're assembled. So, like,

554
00:20:56,764 --> 00:20:59,670
our peptides are assembled by by creating what

555
00:20:59,670 --> 00:21:01,529
we call cell linkage strategies

556
00:21:01,830 --> 00:21:03,130
by putting, like,

557
00:21:03,430 --> 00:21:06,285
a, a linkage strategy that allows for cell

558
00:21:06,285 --> 00:21:09,025
penetration. So we have, you know, proprietary

559
00:21:09,404 --> 00:21:12,225
linkage strategies that are put onto the sequences

560
00:21:12,365 --> 00:21:14,330
that are dynamically matched to the, to the

561
00:21:14,330 --> 00:21:15,470
molecular targets.

562
00:21:15,930 --> 00:21:18,110
We also have what we call tumor penetration,

563
00:21:18,970 --> 00:21:21,930
scaffolding, which allows for a better movement into

564
00:21:21,930 --> 00:21:24,045
the tumor space. And we also have what

565
00:21:24,045 --> 00:21:24,945
we call an aminohexaenoic

566
00:21:25,565 --> 00:21:27,805
acid bridging, which allows for the flexibility of

567
00:21:27,805 --> 00:21:30,125
the molecule so that it can be,

568
00:21:30,445 --> 00:21:32,690
transported better. And then we also PEG ELATE.

569
00:21:33,149 --> 00:21:35,549
So in other words, PEG ELATION allows just

570
00:21:35,549 --> 00:21:38,929
small fractionated PEG that allows the the protein

571
00:21:38,990 --> 00:21:40,289
to move to the target,

572
00:21:40,984 --> 00:21:43,944
freely without it being hit by any, you

573
00:21:43,944 --> 00:21:45,005
know, proteolytic

574
00:21:45,625 --> 00:21:46,125
activity.

575
00:21:46,505 --> 00:21:48,924
Okay. Now are they hue are they humanized

576
00:21:49,144 --> 00:21:49,644
proteins,

577
00:21:50,289 --> 00:21:52,769
or are they going to trip off immune

578
00:21:52,769 --> 00:21:54,549
reactions to them itself?

579
00:21:55,730 --> 00:21:58,494
Well, they they will, you know, they are

580
00:21:58,494 --> 00:21:58,994
synthetically

581
00:21:59,615 --> 00:22:00,115
manufactured

582
00:22:00,575 --> 00:22:02,914
even though they're matched to the patient's targets.

583
00:22:02,974 --> 00:22:05,315
Right? So they they are going to have

584
00:22:05,599 --> 00:22:07,059
somewhat of an immunogenic

585
00:22:07,440 --> 00:22:10,079
effect and a positive vantage point, not like

586
00:22:10,079 --> 00:22:12,879
you would see with antibodies when antibodies are

587
00:22:12,879 --> 00:22:14,480
coming in, and then you wind up getting

588
00:22:14,480 --> 00:22:17,184
off target reactions from the antibodies. Right? So

589
00:22:17,184 --> 00:22:19,024
you're not gonna see the same effect when

590
00:22:19,024 --> 00:22:21,184
it's a personalized design that way.

591
00:22:21,505 --> 00:22:23,200
You're gonna have very low risk of off

592
00:22:23,200 --> 00:22:25,120
target reactions. You're going to have an immune

593
00:22:25,279 --> 00:22:25,779
immunogenic

594
00:22:26,080 --> 00:22:26,580
potentiation

595
00:22:27,360 --> 00:22:29,519
specifically to activate the immune system in a

596
00:22:29,519 --> 00:22:30,580
favorable fashion

597
00:22:30,884 --> 00:22:31,785
rather than an

598
00:22:32,085 --> 00:22:34,164
unfavorable fashion. And you're gonna have more of

599
00:22:34,164 --> 00:22:34,884
a likely over

600
00:22:35,765 --> 00:22:36,265
likelihood

601
00:22:36,565 --> 00:22:37,305
to overcome

602
00:22:37,765 --> 00:22:39,684
what you're seeing in the resistance of the

603
00:22:39,684 --> 00:22:43,190
disease itself, because you're allowing for multiple targets

604
00:22:43,190 --> 00:22:44,570
to work at the same time.

605
00:22:45,029 --> 00:22:46,809
Well, do do patients,

606
00:22:47,830 --> 00:22:49,609
in the research of this and

607
00:22:50,005 --> 00:22:52,484
clinical application, do they ever need pretreatment with

608
00:22:52,484 --> 00:22:52,984
antihistamines

609
00:22:53,365 --> 00:22:55,944
or steroids, or are they pretty well accepted?

610
00:22:56,484 --> 00:22:58,904
You know what? They're pretty well accepted, generally

611
00:22:58,964 --> 00:22:59,464
speaking.

612
00:23:00,150 --> 00:23:02,630
But there are times when there's there's also

613
00:23:02,630 --> 00:23:05,369
a coupling for using, you know, dexamethasone

614
00:23:05,909 --> 00:23:08,684
to to to create an ablative effect. Because

615
00:23:08,684 --> 00:23:11,244
if you actually have an extreme amount of

616
00:23:11,244 --> 00:23:13,664
pro inflammatory activity in a tumor microenvironment,

617
00:23:14,204 --> 00:23:15,850
so you're going to have like a macrophage

618
00:23:16,870 --> 00:23:18,330
difference of M1, M2

619
00:23:18,789 --> 00:23:21,190
macrophage slimy layer of the tumor. And a

620
00:23:21,190 --> 00:23:23,350
lot of cases when you combine it with

621
00:23:23,350 --> 00:23:24,855
a, something like dexamethasone,

622
00:23:25,474 --> 00:23:27,954
it actually creates an ablative effect to allow

623
00:23:27,954 --> 00:23:29,815
the peptides to penetrate better.

624
00:23:30,115 --> 00:23:32,434
So in those cases, it it's a very

625
00:23:32,434 --> 00:23:33,255
good therapeutic,

626
00:23:33,869 --> 00:23:35,009
accent. Right?

627
00:23:35,630 --> 00:23:37,409
Now some patients that are hypersensitive,

628
00:23:37,710 --> 00:23:39,569
they might need some, you know, antihistamines.

629
00:23:39,869 --> 00:23:41,575
They might need a little bit of, you

630
00:23:41,575 --> 00:23:43,975
know, steroids to kinda just calm the system

631
00:23:43,975 --> 00:23:45,434
down a little bit, but very

632
00:23:47,255 --> 00:23:49,335
So so when you have a patient let's

633
00:23:49,335 --> 00:23:51,539
say I have a patient and I'm considering

634
00:23:51,759 --> 00:23:52,159
this,

635
00:23:52,640 --> 00:23:53,140
approach,

636
00:23:54,480 --> 00:23:56,720
are blood and urine samples for the patient

637
00:23:56,720 --> 00:23:59,875
enough? Or or does your lab and your

638
00:23:59,875 --> 00:24:01,875
team do you actually need the tissue sample

639
00:24:01,875 --> 00:24:02,934
of of the cancer?

640
00:24:03,795 --> 00:24:07,070
Excellent question. The the blood and urine are

641
00:24:07,070 --> 00:24:09,230
enough. So with the blood, what we're looking

642
00:24:09,230 --> 00:24:11,230
at is we're looking at the the the

643
00:24:11,230 --> 00:24:12,769
total the total exome,

644
00:24:13,464 --> 00:24:15,625
the high these are all high definition now.

645
00:24:15,625 --> 00:24:18,265
RNA transcriptome, we're looking at the expressions there.

646
00:24:18,265 --> 00:24:20,025
We're looking at the optotype, which is the

647
00:24:20,025 --> 00:24:21,724
molecular typing of the patient.

648
00:24:22,900 --> 00:24:24,900
And, and then we're looking at the urine

649
00:24:24,900 --> 00:24:27,160
as I was explaining earlier, a full complete,

650
00:24:27,460 --> 00:24:27,960
urine,

651
00:24:29,140 --> 00:24:29,640
proteomic

652
00:24:30,019 --> 00:24:30,519
analysis.

653
00:24:31,140 --> 00:24:31,640
Yep.

654
00:24:32,035 --> 00:24:34,035
Now Now in in cases of, like, for

655
00:24:34,035 --> 00:24:36,434
instance, I answer with tumor tissue, we also

656
00:24:36,434 --> 00:24:38,115
do tumor tissue, but a lot of the

657
00:24:38,115 --> 00:24:40,595
times the tumor tissue is inaccessible, hard to

658
00:24:40,595 --> 00:24:42,269
get, very difficult.

659
00:24:42,650 --> 00:24:44,650
A lot of times, institutions don't wanna turn

660
00:24:44,650 --> 00:24:46,730
loose of it for various reasons that I

661
00:24:46,730 --> 00:24:49,049
won't get into here. But but the thing

662
00:24:49,049 --> 00:24:51,485
is is that, we don't we don't stop

663
00:24:51,485 --> 00:24:53,404
at that because we don't need the tumor

664
00:24:53,404 --> 00:24:55,325
tissue to tell us which way to go.

665
00:24:55,325 --> 00:24:57,644
Well, it's also yes. It's so convenient for

666
00:24:57,644 --> 00:25:01,089
the patient. Now does the company have products,

667
00:25:01,089 --> 00:25:04,210
either FDA approved products or products that you

668
00:25:04,210 --> 00:25:06,789
know, available, not subject to FDA approval?

669
00:25:08,755 --> 00:25:11,475
The the product mainly that NeoCement Bioscience is

670
00:25:11,475 --> 00:25:11,975
developing,

671
00:25:12,515 --> 00:25:15,715
is is investigational experimental. Right? So it's all

672
00:25:15,715 --> 00:25:17,255
operating under an IRB.

673
00:25:17,889 --> 00:25:19,569
You know, it's not under a clinical trial,

674
00:25:19,569 --> 00:25:21,809
so we don't have any NIH studies on

675
00:25:21,809 --> 00:25:23,589
it, which all it's all IRB

676
00:25:23,970 --> 00:25:26,630
practice oriented select. There's a lot of, physicians

677
00:25:26,769 --> 00:25:28,394
that are neo 7 participating

678
00:25:29,095 --> 00:25:29,595
physicians,

679
00:25:30,535 --> 00:25:31,275
and they,

680
00:25:31,654 --> 00:25:33,815
you know, they they are working with us

681
00:25:33,815 --> 00:25:36,394
to to administer this to their patients.

682
00:25:36,819 --> 00:25:38,819
And, so that's how we operate, you know,

683
00:25:38,819 --> 00:25:40,740
at this point. Now in the future, we're

684
00:25:40,740 --> 00:25:41,799
hoping to maybe

685
00:25:42,099 --> 00:25:44,019
get a little bit more research out there,

686
00:25:44,500 --> 00:25:47,085
and establish it, you know, more in the

687
00:25:47,085 --> 00:25:48,065
research environment,

688
00:25:48,365 --> 00:25:49,184
more publications.

689
00:25:49,724 --> 00:25:51,484
But we've been real stealthy about how we

690
00:25:51,484 --> 00:25:53,559
do it because we've been helping a lot

691
00:25:53,559 --> 00:25:54,220
of people

692
00:25:54,599 --> 00:25:56,059
over the last 4 years.

693
00:25:56,519 --> 00:25:57,900
Now is the company

694
00:25:58,440 --> 00:25:59,580
involved in these

695
00:26:00,440 --> 00:26:00,940
big

696
00:26:01,585 --> 00:26:02,085
cancer,

697
00:26:02,704 --> 00:26:05,444
research centers like MD Anderson and

698
00:26:06,144 --> 00:26:06,964
Sloan Kettering,

699
00:26:08,224 --> 00:26:08,630
or

700
00:26:09,109 --> 00:26:11,349
and or is the company working with, was

701
00:26:11,349 --> 00:26:12,490
considered naturopathic

702
00:26:12,789 --> 00:26:15,049
centers that, you know, are much different?

703
00:26:15,509 --> 00:26:17,585
It's more integrative centers. So,

704
00:26:18,044 --> 00:26:20,704
functional medicine centers, integrative cancer centers,

705
00:26:21,404 --> 00:26:23,884
you know, that type of environment. And we're

706
00:26:23,884 --> 00:26:25,904
not currently in any type of

707
00:26:26,589 --> 00:26:30,130
MD Anderson or any other Mhmm. Larger organization.

708
00:26:30,589 --> 00:26:32,190
I mean, I have patients come to me

709
00:26:32,190 --> 00:26:34,894
and practice. I'm a traditional allopathic doctor. I

710
00:26:34,894 --> 00:26:37,154
prescribe medicines, internal medicine, cardiology.

711
00:26:37,615 --> 00:26:39,934
I've had so many cancer patients come to

712
00:26:39,934 --> 00:26:42,740
me and say, doc, I'm just not gonna

713
00:26:42,740 --> 00:26:43,799
do the conventional

714
00:26:44,099 --> 00:26:44,599
chemo,

715
00:26:45,220 --> 00:26:45,720
radiation

716
00:26:46,179 --> 00:26:46,839
and surgery.

717
00:26:47,460 --> 00:26:49,779
I had a patient recently who's just it's

718
00:26:49,779 --> 00:26:51,855
just had a an incredible

719
00:26:52,394 --> 00:26:54,414
tongue and throat cancer. In fact, I

720
00:26:54,795 --> 00:26:55,295
examined

721
00:26:55,674 --> 00:26:57,275
her, and I depressed the tongue, and the

722
00:26:57,275 --> 00:26:59,480
cancer just flipped up into view. It was

723
00:26:59,480 --> 00:26:59,980
just

724
00:27:00,600 --> 00:27:02,700
astonishing to see it face to face.

725
00:27:03,640 --> 00:27:04,140
And

726
00:27:06,255 --> 00:27:08,255
and she's made up her mind. She says

727
00:27:08,255 --> 00:27:10,595
it's inoperable. I'm not gonna go through

728
00:27:11,134 --> 00:27:13,215
chemotherapy and radiation. And, John, I have to

729
00:27:13,215 --> 00:27:15,250
tell you as a doctor, a non cancer

730
00:27:15,250 --> 00:27:17,269
doctor, I always ask myself,

731
00:27:18,369 --> 00:27:20,470
is the appearance of the patient

732
00:27:20,849 --> 00:27:22,150
and their current illness?

733
00:27:22,984 --> 00:27:24,924
Is it due to the cancer,

734
00:27:25,625 --> 00:27:27,244
or is it due to the chemotherapy

735
00:27:27,545 --> 00:27:30,345
radiation and other things that have happened? I

736
00:27:30,345 --> 00:27:32,444
mean, the question does come up,

737
00:27:32,849 --> 00:27:35,490
particularly for advanced cancers where the survival rate

738
00:27:35,490 --> 00:27:36,150
is low.

739
00:27:36,609 --> 00:27:38,609
What does a patient look at if they

740
00:27:38,609 --> 00:27:41,484
go to a holistic or integrative center? Because

741
00:27:41,484 --> 00:27:43,025
I know you work with these centers.

742
00:27:43,644 --> 00:27:45,565
But what's your vantage point? What what's the

743
00:27:45,565 --> 00:27:47,164
approach when a patient goes to one of

744
00:27:47,164 --> 00:27:47,825
those centers?

745
00:27:48,369 --> 00:27:50,130
Well, when they when they're going to an

746
00:27:50,130 --> 00:27:52,850
integrative center, they're going to have the support,

747
00:27:52,850 --> 00:27:54,850
you know, the immune support that's needed to

748
00:27:54,850 --> 00:27:57,994
kinda really boost up their immune defenses. So

749
00:27:57,994 --> 00:28:00,714
various physicians actually have different protocols where they'll

750
00:28:00,714 --> 00:28:03,710
use intravenous vitamin C, they'll use, you know,

751
00:28:03,710 --> 00:28:06,690
various type of intravenous bio homeopathic regulators.

752
00:28:06,990 --> 00:28:08,830
They'll, you know, there's a lot of power

753
00:28:08,830 --> 00:28:10,750
in, in some of the nutrients that are

754
00:28:10,750 --> 00:28:11,330
out there

755
00:28:11,664 --> 00:28:12,724
that are used intravenously.

756
00:28:14,144 --> 00:28:14,625
And,

757
00:28:15,345 --> 00:28:17,924
and when we're working with with these doctors,

758
00:28:18,384 --> 00:28:19,125
we're adding

759
00:28:19,505 --> 00:28:20,640
a level of sophistication as a

760
00:28:21,519 --> 00:28:23,519
strategy. So what we say is that, you

761
00:28:23,519 --> 00:28:25,279
know, you're not gonna be flying blind here.

762
00:28:25,279 --> 00:28:27,279
You're gonna know exactly what you're doing with

763
00:28:27,279 --> 00:28:30,815
regards to the molecular influences of this disease.

764
00:28:30,815 --> 00:28:32,734
You're going to be able to intelligently hit

765
00:28:32,734 --> 00:28:35,714
those targets by using the personalized engineering,

766
00:28:36,190 --> 00:28:38,349
and you can couple any therapeutic with it.

767
00:28:38,349 --> 00:28:40,269
So, like, even if a patient decided to

768
00:28:40,269 --> 00:28:43,170
do radio you know, targeted radiation or,

769
00:28:45,565 --> 00:28:47,805
you know, the proton therapy or, or something

770
00:28:47,805 --> 00:28:50,924
like that. You know, it works really well

771
00:28:50,924 --> 00:28:51,424
together

772
00:28:52,285 --> 00:28:54,625
in being able to facilitate the anti

773
00:28:55,000 --> 00:28:55,740
cancer activity,

774
00:28:56,279 --> 00:28:58,359
but it also assists in being able to

775
00:28:58,359 --> 00:29:00,519
help the tissue to recover better. So it

776
00:29:00,519 --> 00:29:02,859
helps with more rejuvenation of the tissue.

777
00:29:03,195 --> 00:29:04,474
And a lot of the times you're act

778
00:29:04,555 --> 00:29:06,315
you know, you are so correct with regards

779
00:29:06,315 --> 00:29:08,394
to when you're seeing the the cancer itself.

780
00:29:08,394 --> 00:29:09,695
A lot of times these,

781
00:29:11,195 --> 00:29:13,269
we do one step up you see in

782
00:29:13,269 --> 00:29:15,269
the environment where they're going from chemo to

783
00:29:15,269 --> 00:29:17,430
chemo to chemo, they go to a stronger

784
00:29:17,430 --> 00:29:19,644
chemo. And what that happens is is it

785
00:29:19,805 --> 00:29:21,484
it might work for 3 months and it

786
00:29:21,484 --> 00:29:24,065
creates a stronger resistant pattern as you've probably

787
00:29:24,205 --> 00:29:27,265
observed yourself, and then the cancer rages terribly.

788
00:29:27,404 --> 00:29:28,924
Right? And I've seen that in all my

789
00:29:28,924 --> 00:29:31,119
years practice too. It's a terrible thing to

790
00:29:31,420 --> 00:29:33,500
watch. And, and but it's a very real

791
00:29:33,500 --> 00:29:35,980
thing that happens. So the resistance is a

792
00:29:35,980 --> 00:29:36,480
reality,

793
00:29:37,134 --> 00:29:39,154
with some of these conventional therapeutics.

794
00:29:39,934 --> 00:29:40,434
Wow.

795
00:29:40,734 --> 00:29:42,355
Now are you able to disclose,

796
00:29:43,134 --> 00:29:45,130
where some of the top centers with your

797
00:29:45,130 --> 00:29:45,630
technology

798
00:29:46,090 --> 00:29:48,410
available? Because my my my fans are gonna

799
00:29:48,410 --> 00:29:51,049
ask. They're gonna say, listen, you know, can

800
00:29:51,049 --> 00:29:53,950
you give us any referral center information?

801
00:29:54,545 --> 00:29:56,945
Well, what we usually do is we, we

802
00:29:56,945 --> 00:29:59,345
we share that information when they contact us

803
00:29:59,345 --> 00:30:01,585
because, you know, we have different patients in

804
00:30:01,585 --> 00:30:02,485
different locations,

805
00:30:03,130 --> 00:30:05,690
and we do have centers that that are

806
00:30:05,849 --> 00:30:08,569
you know, we have strategic areas where where

807
00:30:08,569 --> 00:30:11,585
patients actually go. Okay. And we're and we're

808
00:30:11,585 --> 00:30:14,464
growing, you know, more rapidly because of the

809
00:30:14,464 --> 00:30:16,304
fact that this is you know, people are

810
00:30:16,304 --> 00:30:17,765
really calling for this.

811
00:30:18,069 --> 00:30:19,990
And and I'll just be honest here. It's

812
00:30:19,990 --> 00:30:22,069
like it's not a cheap technology. Right? It's

813
00:30:22,069 --> 00:30:22,569
a

814
00:30:22,950 --> 00:30:25,190
it it is not something, you know, when

815
00:30:25,190 --> 00:30:28,325
we're talking about sophisticated n of 1 personalizations,

816
00:30:28,785 --> 00:30:30,865
I mean, it's a lot cheaper than using

817
00:30:30,865 --> 00:30:32,005
traditional immunotherapy

818
00:30:32,305 --> 00:30:35,159
or, you know, conventional immunotherapy or some of

819
00:30:35,159 --> 00:30:36,299
these chemo strategies.

820
00:30:37,240 --> 00:30:39,079
You know, but it it it it is

821
00:30:39,079 --> 00:30:40,859
more of a high priced item,

822
00:30:41,799 --> 00:30:43,400
going into it. And the thing about it

823
00:30:43,400 --> 00:30:45,125
is that patients actually are paying out of

824
00:30:45,125 --> 00:30:47,865
pocket, right? So it's not covered by insurances.

825
00:30:48,245 --> 00:30:50,664
Though there are some patients that actually will

826
00:30:51,059 --> 00:30:54,039
submit itemized bills from their physicians to insurances,

827
00:30:54,099 --> 00:30:55,700
and some of them get up to maybe

828
00:30:55,700 --> 00:30:59,380
35 to 50% coverage on it. But, you

829
00:30:59,380 --> 00:31:01,791
know, I can't speak that that's the norm.

830
00:31:01,791 --> 00:31:03,765
It it it happens. It all depends on

831
00:31:03,765 --> 00:31:06,505
the insurance carrier. You know? Okay. So,

832
00:31:07,605 --> 00:31:09,845
we'll put your company's website in the show

833
00:31:09,845 --> 00:31:11,369
notes. So they actually reach out to you.

834
00:31:11,369 --> 00:31:12,730
So if they have a cancer, they reach

835
00:31:12,730 --> 00:31:14,109
out to your company directly.

836
00:31:14,569 --> 00:31:16,029
Yes. And then

837
00:31:16,410 --> 00:31:17,069
you would

838
00:31:17,450 --> 00:31:19,230
guide them from there in terms of

839
00:31:20,384 --> 00:31:20,884
samples,

840
00:31:21,184 --> 00:31:22,164
how it happens,

841
00:31:23,025 --> 00:31:25,664
the assessment, and then working with the the

842
00:31:25,664 --> 00:31:26,884
doctor on the delivery.

843
00:31:27,750 --> 00:31:30,710
A typical course of peptide therapy for cancer,

844
00:31:30,710 --> 00:31:32,309
what are we looking at in terms of

845
00:31:32,309 --> 00:31:35,029
IV infusions? You know, how many and at

846
00:31:35,029 --> 00:31:36,409
what, dose frequency?

847
00:31:37,005 --> 00:31:39,184
Yeah. You're looking at about a year to

848
00:31:39,244 --> 00:31:41,724
16, you know, 14 months, 14 to 16

849
00:31:41,724 --> 00:31:44,384
months worth of therapy, right? So and

850
00:31:44,765 --> 00:31:47,369
it goes in stages. There are 4 courses

851
00:31:47,369 --> 00:31:48,109
in a year,

852
00:31:48,569 --> 00:31:50,990
and a course of treatment lasts anywhere from

853
00:31:51,049 --> 00:31:53,345
21 to 30 days. So these peptides are

854
00:31:53,345 --> 00:31:56,065
being administered over a 21 to 30 day

855
00:31:56,065 --> 00:31:58,384
period. Right? And then there's usually a break

856
00:31:58,384 --> 00:32:00,005
of about 4 to 6 weeks,

857
00:32:00,619 --> 00:32:03,579
sometimes 8 weeks in between depend depends upon

858
00:32:03,579 --> 00:32:05,819
where the cancer is in its staging. If

859
00:32:05,819 --> 00:32:07,819
it's a pretty aggressive cancer, then there's no

860
00:32:07,819 --> 00:32:08,799
breaks in between.

861
00:32:09,595 --> 00:32:11,434
And it could be used with any,

862
00:32:11,914 --> 00:32:15,275
conventional therapeutic modality. It's not affected negatively by

863
00:32:15,275 --> 00:32:15,775
chemotherapeutics.

864
00:32:16,315 --> 00:32:16,815
So,

865
00:32:18,119 --> 00:32:18,940
we see,

866
00:32:19,480 --> 00:32:22,679
very good complementary effects and much better effects

867
00:32:22,679 --> 00:32:24,279
than you see with people who are receiving

868
00:32:24,279 --> 00:32:24,779
chemotherapy,

869
00:32:25,159 --> 00:32:25,654
right,

870
00:32:26,455 --> 00:32:28,535
to to for them to be protected against

871
00:32:28,535 --> 00:32:30,375
the chemo effects, but but as a hub

872
00:32:30,375 --> 00:32:33,095
strategy, this can stand alone. But And, you

873
00:32:33,095 --> 00:32:35,740
know So just for practical purposes, are we

874
00:32:35,740 --> 00:32:38,000
talking about people with chemotherapy ports?

875
00:32:39,019 --> 00:32:41,339
Yep. Yep. Yep. And then is the I've

876
00:32:41,420 --> 00:32:43,464
is the infusions, are they continuous, or do

877
00:32:43,464 --> 00:32:45,065
they come into a clinic and get some

878
00:32:45,065 --> 00:32:46,984
more? Yeah. It's usually like the 3 time

879
00:32:46,984 --> 00:32:47,964
a week infusion,

880
00:32:48,984 --> 00:32:50,664
peptides. Right? And,

881
00:32:51,250 --> 00:32:52,850
and then the doctor will send them home

882
00:32:52,850 --> 00:32:54,690
with 2 injections that they do I'm So

883
00:32:54,690 --> 00:32:55,509
it's a 5

884
00:32:55,809 --> 00:32:58,210
out of 7 day regimen for for 21

885
00:32:58,210 --> 00:32:59,570
to 30 days. Now if they, you know,

886
00:32:59,570 --> 00:33:01,154
the reason why we have 30 days is

887
00:33:01,394 --> 00:33:03,875
because some patients, take a little bit to

888
00:33:03,875 --> 00:33:05,474
acclimate. You have to spread it out a

889
00:33:05,474 --> 00:33:07,474
little bit longer, maybe drop the dose down

890
00:33:07,474 --> 00:33:08,170
a little bit,

891
00:33:08,650 --> 00:33:10,509
so that they act so that their bodies

892
00:33:10,570 --> 00:33:12,730
respond because there's some patients that have more

893
00:33:12,730 --> 00:33:15,955
robust responses than others. Right? And it's all

894
00:33:15,955 --> 00:33:18,275
case it's all patient by patient. So you

895
00:33:18,275 --> 00:33:18,775
can't,

896
00:33:19,075 --> 00:33:20,994
you know, you can't really just, you know,

897
00:33:20,994 --> 00:33:21,494
standardize

898
00:33:22,195 --> 00:33:24,869
just the same thing for everyone. If one

899
00:33:24,869 --> 00:33:27,690
patient might respond where you have to adjust,

900
00:33:28,150 --> 00:33:30,710
the dosing down a little bit and spread

901
00:33:30,710 --> 00:33:33,130
it out maybe by 24 to 72

902
00:33:33,605 --> 00:33:36,005
hours. But, you know, doctors know our doctors

903
00:33:36,005 --> 00:33:36,505
know,

904
00:33:37,044 --> 00:33:38,804
when to do that. But for the most

905
00:33:38,804 --> 00:33:40,825
part, it's a 21 to 30 day,

906
00:33:41,284 --> 00:33:41,784
regime

907
00:33:42,085 --> 00:33:43,384
4 times a year.

908
00:33:44,359 --> 00:33:45,420
And if you were

909
00:33:46,599 --> 00:33:47,980
to talk to a patient,

910
00:33:48,839 --> 00:33:49,900
the patient says,

911
00:33:50,200 --> 00:33:51,500
how does this work?

912
00:33:52,184 --> 00:33:52,684
Is

913
00:33:53,704 --> 00:33:56,684
it killing the cancer cells? Is it enhancing

914
00:33:56,744 --> 00:33:59,224
the body's immune system to go kill the

915
00:33:59,224 --> 00:34:01,410
cancer cells? What what are some of the

916
00:34:01,410 --> 00:34:03,190
mechanisms that you're sure

917
00:34:03,569 --> 00:34:05,190
are working with these products?

918
00:34:06,210 --> 00:34:08,789
It's definitely cancer killing, tumor

919
00:34:09,224 --> 00:34:11,304
killing, you know, those cells that are on

920
00:34:11,304 --> 00:34:12,364
the tumor environment,

921
00:34:12,744 --> 00:34:13,244
microenvironment.

922
00:34:13,704 --> 00:34:13,944
It's,

923
00:34:14,585 --> 00:34:17,464
direct targeting for hitting the cell the cancer

924
00:34:17,464 --> 00:34:19,929
cells to get them to lice. It's also

925
00:34:19,929 --> 00:34:22,590
reprogramming. So it's microediting and reprogramming

926
00:34:22,890 --> 00:34:24,590
because these peptides have that

927
00:34:24,890 --> 00:34:25,949
micro programming,

928
00:34:26,489 --> 00:34:29,385
you know, immuno editing ability. So they don't

929
00:34:29,385 --> 00:34:30,605
just have the direct,

930
00:34:31,465 --> 00:34:34,344
immune defense effect. They also have the immune

931
00:34:34,344 --> 00:34:35,239
editing effect.

932
00:34:35,559 --> 00:34:37,800
So you get those 2 things working together

933
00:34:37,800 --> 00:34:39,820
and, you know, as in a system,

934
00:34:40,199 --> 00:34:42,760
especially when it's personalized to the patient's targets,

935
00:34:42,760 --> 00:34:44,644
then you're getting these actions to work on

936
00:34:44,644 --> 00:34:47,204
these different targets that are involved in that

937
00:34:47,204 --> 00:34:48,105
cancer expression.

938
00:34:48,484 --> 00:34:50,565
So that's where a lot of a lot

939
00:34:50,565 --> 00:34:52,085
of the times, you know, you're gonna have

940
00:34:52,085 --> 00:34:54,119
a better opportunity to to overcome

941
00:34:54,420 --> 00:34:56,199
severe resistance and migration

942
00:34:57,380 --> 00:34:57,880
by,

943
00:34:58,259 --> 00:34:58,759
allowing,

944
00:34:59,059 --> 00:35:00,900
you know, these peptides to work on the

945
00:35:00,900 --> 00:35:04,114
different expressed targets because there's there's more than

946
00:35:04,114 --> 00:35:06,515
one target involved in the cancer in the

947
00:35:06,515 --> 00:35:07,414
cancer expression.

948
00:35:08,434 --> 00:35:10,434
I'll have one final question for this,

949
00:35:11,059 --> 00:35:12,179
half, and we're gonna have to take a

950
00:35:12,179 --> 00:35:14,280
break. But it's a commercial question.

951
00:35:15,619 --> 00:35:16,119
So

952
00:35:16,900 --> 00:35:18,519
is a company like yours

953
00:35:19,155 --> 00:35:22,275
and how it's personalized in your in a

954
00:35:22,275 --> 00:35:24,835
sense, creating your market, the patients come to

955
00:35:24,835 --> 00:35:26,355
you and you we you know, you work

956
00:35:26,355 --> 00:35:27,175
on this together.

957
00:35:28,429 --> 00:35:29,969
Is it kind of forever

958
00:35:30,909 --> 00:35:32,690
going to be in this

959
00:35:33,070 --> 00:35:36,144
realm? Or is this ultimately gonna go through

960
00:35:36,144 --> 00:35:37,444
full FDA approval,

961
00:35:38,144 --> 00:35:39,364
large trials,

962
00:35:41,025 --> 00:35:41,764
the oncology

963
00:35:42,065 --> 00:35:43,284
research networks,

964
00:35:43,960 --> 00:35:46,380
all the intellectual property for all the different

965
00:35:46,599 --> 00:35:48,460
peptides and in vitro diagnostics.

966
00:35:48,760 --> 00:35:50,699
Kinda sketch this out commercially.

967
00:35:51,795 --> 00:35:53,155
Well, you know, it would be the hope

968
00:35:53,155 --> 00:35:53,894
that personalizations

969
00:35:54,355 --> 00:35:56,515
and precision would go to that next level.

970
00:35:56,515 --> 00:35:58,434
I don't see it happening, you know, within

971
00:35:58,434 --> 00:36:00,355
the next 20 years or so because it's

972
00:36:00,355 --> 00:36:02,969
so difficult. Right? Right. When you're talking about

973
00:36:02,969 --> 00:36:04,969
an n of 1 design, you're talking about

974
00:36:04,969 --> 00:36:05,530
you can't,

975
00:36:06,010 --> 00:36:08,410
you can't group, you can't select the cancer

976
00:36:08,410 --> 00:36:10,105
type and then you have, you have, we're

977
00:36:10,105 --> 00:36:11,804
going to have 30 different expressed,

978
00:36:12,664 --> 00:36:15,625
type of designs that, that have different, different

979
00:36:15,625 --> 00:36:16,605
peptide sequence,

980
00:36:17,945 --> 00:36:18,445
associations.

981
00:36:19,159 --> 00:36:20,219
And and the

982
00:36:20,519 --> 00:36:22,619
the NIH is not structured that way, so

983
00:36:22,679 --> 00:36:23,980
neither is the FDA.

984
00:36:24,440 --> 00:36:26,839
So it's like it's gonna take a while

985
00:36:26,839 --> 00:36:29,655
for the a new a new paradigm shift

986
00:36:29,655 --> 00:36:32,075
to happen in this in in the research

987
00:36:32,135 --> 00:36:33,755
design, so to speak. Right?

988
00:36:34,375 --> 00:36:36,055
But but what I do see is I

989
00:36:36,055 --> 00:36:37,594
see a a lot more intelligent,

990
00:36:38,160 --> 00:36:39,780
aspect in being able to know,

991
00:36:40,079 --> 00:36:40,739
you know,

992
00:36:41,200 --> 00:36:43,300
how to hit targets more intelligently.

993
00:36:43,599 --> 00:36:45,680
Right? Mhmm. And and you know as well

994
00:36:45,680 --> 00:36:47,174
as I do is that in, in the

995
00:36:47,174 --> 00:36:50,694
conventional space, it's always about one signal, a

996
00:36:50,694 --> 00:36:52,375
target like we see in these weight loss

997
00:36:52,375 --> 00:36:53,275
drugs, for instance,

998
00:36:53,820 --> 00:36:54,960
GLP, GIP,

999
00:36:55,260 --> 00:36:57,119
that everybody is excited about this.

1000
00:36:57,420 --> 00:36:59,340
And what you wind up doing is you

1001
00:36:59,340 --> 00:37:01,119
wind up burning out those targets

1002
00:37:01,660 --> 00:37:02,160
with

1003
00:37:02,885 --> 00:37:04,724
chronic focus, and you find that they don't

1004
00:37:04,724 --> 00:37:07,285
work anymore, these drugs, the way they're supposed

1005
00:37:07,285 --> 00:37:09,525
to because of the fact that you're burning

1006
00:37:09,525 --> 00:37:11,445
these targets out. And it it's like spinning

1007
00:37:11,445 --> 00:37:12,859
your tires in place, basically.

1008
00:37:13,480 --> 00:37:14,359
And and,

1009
00:37:14,880 --> 00:37:17,880
and and, but but I do see that

1010
00:37:17,880 --> 00:37:19,820
changing where the molecular

1011
00:37:20,135 --> 00:37:21,894
expression that is more unique to the patient

1012
00:37:21,894 --> 00:37:22,954
instead of a stratified

1013
00:37:23,414 --> 00:37:25,675
design, you got more of a precision personalized

1014
00:37:25,894 --> 00:37:28,135
design happening. Whether or not it's going to

1015
00:37:28,135 --> 00:37:30,119
make a shift totally to n f 1,

1016
00:37:30,179 --> 00:37:32,099
I can't see that happening, like, within the

1017
00:37:32,099 --> 00:37:34,260
next 20 years. I really can't. Because it's

1018
00:37:34,260 --> 00:37:36,119
a it's a lot a lot of complicated

1019
00:37:36,179 --> 00:37:37,239
twists and turns.

1020
00:37:37,824 --> 00:37:40,065
I could be wrong about that, but we

1021
00:37:40,065 --> 00:37:42,304
are trying our best to participate in leading

1022
00:37:42,304 --> 00:37:42,884
the way

1023
00:37:43,505 --> 00:37:44,324
in using,

1024
00:37:44,679 --> 00:37:47,159
you know, a combination of human intelligence and

1025
00:37:47,159 --> 00:37:50,460
art and and, you know, artificial AI intelligence

1026
00:37:50,920 --> 00:37:52,920
and being in a responsible way to be

1027
00:37:52,920 --> 00:37:55,234
able to use the best of the tools

1028
00:37:55,234 --> 00:37:57,554
you can to get to that space of

1029
00:37:57,554 --> 00:37:58,534
better precision.

1030
00:37:59,155 --> 00:38:00,835
And that's what that's what we do is

1031
00:38:00,835 --> 00:38:02,855
we're focusing in on better precision.

1032
00:38:03,299 --> 00:38:04,980
And remind us the name of your company

1033
00:38:04,980 --> 00:38:05,880
again and website.

1034
00:38:06,579 --> 00:38:08,199
It's Neo 7 Bioscience.

1035
00:38:08,980 --> 00:38:09,960
All one word.

1036
00:38:10,339 --> 00:38:12,554
Neo 7 Bioscience. Well, I tell you, we

1037
00:38:12,554 --> 00:38:13,775
are having a fascinating,

1038
00:38:14,554 --> 00:38:17,375
conversation with doctor John Catanzaro.

1039
00:38:18,714 --> 00:38:19,855
He is leading,

1040
00:38:20,394 --> 00:38:21,135
this company,

1041
00:38:21,900 --> 00:38:23,119
Neo 7 Bioscience.

1042
00:38:23,420 --> 00:38:24,559
It's personalized.

1043
00:38:24,860 --> 00:38:25,760
So it's

1044
00:38:26,460 --> 00:38:28,559
yeah. We just is is not gonna,

1045
00:38:28,945 --> 00:38:30,704
at least at this point in time, be

1046
00:38:30,704 --> 00:38:33,525
in this large space of of clinical trials.

1047
00:38:34,065 --> 00:38:35,824
And we're learning so much about the fact

1048
00:38:35,824 --> 00:38:38,230
that probably each person's cancer, just like each

1049
00:38:38,230 --> 00:38:40,630
person is unique, their cancer is unique. We're

1050
00:38:40,630 --> 00:38:42,069
gonna take a break for our sponsor, and

1051
00:38:42,069 --> 00:38:43,429
then we're gonna be back. And we're gonna

1052
00:38:43,429 --> 00:38:46,235
cover these messenger RNA COVID 19 vaccines. I

1053
00:38:46,235 --> 00:38:47,934
know John has a lot to talk about,

1054
00:38:48,235 --> 00:38:50,155
a lot to say about them. So let's

1055
00:38:50,155 --> 00:38:52,130
get real. Let's get loud. On America loud

1056
00:38:52,130 --> 00:38:53,969
talk radio, this is the McCullough Report, and

1057
00:38:53,969 --> 00:38:55,269
I'm doctor Peter McCullough.

1058
00:39:00,594 --> 00:39:02,934
One of the biggest advances in nutraceuticals

1059
00:39:03,235 --> 00:39:03,894
and supplements

1060
00:39:04,195 --> 00:39:07,414
is healthy cell and the healthy cell line

1061
00:39:07,474 --> 00:39:08,614
is extensive.

1062
00:39:09,610 --> 00:39:12,670
I typically focus on the micro gel technology.

1063
00:39:13,369 --> 00:39:16,190
3 major products here, immune super boost,

1064
00:39:16,650 --> 00:39:17,390
the focus

1065
00:39:17,945 --> 00:39:18,605
and Recall,

1066
00:39:19,305 --> 00:39:21,704
and then the REM sleep supplement. Each one

1067
00:39:21,704 --> 00:39:23,085
of these is complimentary

1068
00:39:23,785 --> 00:39:24,684
and they can

1069
00:39:25,050 --> 00:39:26,570
have a role, I think, in the health

1070
00:39:26,570 --> 00:39:28,410
of your life each and every day. I

1071
00:39:28,410 --> 00:39:30,349
know they do. In my case,

1072
00:39:30,730 --> 00:39:31,789
many of you know

1073
00:39:32,385 --> 00:39:35,184
after COVID 19 twice, I spent almost the

1074
00:39:35,184 --> 00:39:37,125
entire year in 2022

1075
00:39:37,505 --> 00:39:40,244
with a upper respiratory tract illness. Now thankfully,

1076
00:39:40,385 --> 00:39:41,605
and I've been diligent

1077
00:39:42,230 --> 00:39:44,809
with the immune super boost in the morning,

1078
00:39:45,190 --> 00:39:46,969
followed by focus and energy,

1079
00:39:47,269 --> 00:39:49,750
and then in the evening time, the REM

1080
00:39:49,750 --> 00:39:52,954
sleep supplement, the Micro Gel Technology works and

1081
00:39:52,954 --> 00:39:55,434
boy, does it work fast. So go to

1082
00:39:55,434 --> 00:39:56,095
our website,

1083
00:39:56,555 --> 00:39:59,409
America Out Loud Talk Radio. Find the banner

1084
00:39:59,409 --> 00:40:01,809
bar for HealthiCell. Click on it and that'll

1085
00:40:01,809 --> 00:40:03,570
take you to the site to get a

1086
00:40:03,570 --> 00:40:04,070
discount

1087
00:40:04,530 --> 00:40:08,005
on your purchase of all HealthiCell products. So

1088
00:40:08,005 --> 00:40:10,085
let's get real, let's get loud on America

1089
00:40:10,085 --> 00:40:11,065
loud talk radio.

1090
00:40:11,765 --> 00:40:14,085
Maintaining a strong immune system has never been

1091
00:40:14,085 --> 00:40:17,119
more critical. Nutrition company, Healthy Cell, created immune

1092
00:40:17,119 --> 00:40:19,299
super boost to help you strengthen your immunity

1093
00:40:19,359 --> 00:40:21,759
unlike other supplements that don't work. Immune super

1094
00:40:21,759 --> 00:40:23,695
boost is not a pill. A gel you

1095
00:40:23,695 --> 00:40:26,434
swallow with ultra absorption of science backed nutrients

1096
00:40:26,494 --> 00:40:29,135
proven to support immunity, like vitamin c, d

1097
00:40:29,135 --> 00:40:31,190
3, zinc, elderberry, and echinacea.

1098
00:40:49,410 --> 00:40:50,309
Support your heart with concentrated

1099
00:40:50,769 --> 00:40:53,890
nutrients. Healthy Cell created heart and vascular health

1100
00:40:53,890 --> 00:40:56,369
to support cholesterol and blood pressure with co

1101
00:40:56,369 --> 00:40:58,230
q 10, vitamin k 2,

1102
00:40:58,964 --> 00:41:01,125
and soluble fiber. And Healthy Cell is not

1103
00:41:01,125 --> 00:41:03,125
a pill. It's a patent pending gel you

1104
00:41:03,125 --> 00:41:05,545
swallow. Get heart healthy. Go to healthycell.com

1105
00:41:06,200 --> 00:41:08,380
and use code out loud for 25%

1106
00:41:08,760 --> 00:41:10,380
off your first order. Healthycell.com.

1107
00:41:11,160 --> 00:41:12,780
Code out loud for 25%

1108
00:41:13,079 --> 00:41:13,579
off.

1109
00:41:14,255 --> 00:41:16,734
World class care from doctors you can trust,

1110
00:41:16,734 --> 00:41:18,815
all from the comfort of your home. That

1111
00:41:18,815 --> 00:41:21,454
is one wellness. Doctor Peter McCullough and his

1112
00:41:21,454 --> 00:41:23,849
team at the wellness company designed the One

1113
00:41:23,849 --> 00:41:26,889
Wellness membership to provide free monthly supplements and

1114
00:41:26,889 --> 00:41:27,949
unlimited telemedicine

1115
00:41:28,250 --> 00:41:30,974
access with doctors that share your values. Go

1116
00:41:30,974 --> 00:41:32,974
to out loud care dot com today and

1117
00:41:32,974 --> 00:41:35,155
use code out loud for 25%

1118
00:41:35,535 --> 00:41:37,555
off your 1st month of 1 wellness.

1119
00:41:38,469 --> 00:41:40,469
Is your gut a mess? 2 thirds of

1120
00:41:40,469 --> 00:41:42,489
Americans suffer because of gastrointestinal

1121
00:41:42,949 --> 00:41:44,869
issues, and I was one of them. That

1122
00:41:44,869 --> 00:41:47,344
is why we created a 3 step doctor

1123
00:41:47,344 --> 00:41:47,844
formulated

1124
00:41:48,224 --> 00:41:51,664
completely natural gut reboot system that you can

1125
00:41:51,664 --> 00:41:53,820
do at home in just minutes a day.

1126
00:41:53,820 --> 00:41:54,719
Go to chemicalfreebody.comforward/outloud

1127
00:41:57,579 --> 00:42:00,480
today. Get the Malcolm Healthy Gut Bundle,

1128
00:42:00,860 --> 00:42:04,074
reboot your gut and your energy, and save

1129
00:42:04,074 --> 00:42:05,934
20% on your first order.

1130
00:42:09,835 --> 00:42:12,769
Expert opinions, honest debate, and in-depth

1131
00:42:13,150 --> 00:42:13,650
investigations

1132
00:42:13,949 --> 00:42:15,569
are what you've come to expect

1133
00:42:16,029 --> 00:42:18,449
from America out loud dot news.

1134
00:42:18,989 --> 00:42:21,135
We don't shy away from speaking the truth

1135
00:42:21,215 --> 00:42:22,114
boldly and plainly.

1136
00:42:23,135 --> 00:42:25,074
All that's missing is the propaganda

1137
00:42:25,534 --> 00:42:28,195
that has infected legacy in social media.

1138
00:42:28,860 --> 00:42:31,840
Get the best of down and dirty, wholesome

1139
00:42:32,460 --> 00:42:32,960
American

1140
00:42:33,260 --> 00:42:33,760
speed.

1141
00:42:38,835 --> 00:42:41,654
Now is our time, my fellow Americans.

1142
00:42:42,355 --> 00:42:44,329
America Out Loud Loud Talk Radio,

1143
00:42:45,269 --> 00:42:45,769
liberty

1144
00:42:46,390 --> 00:42:48,329
and justice for all.

1145
00:43:00,679 --> 00:43:02,839
Let's get real. Let's get loud on America

1146
00:43:02,839 --> 00:43:05,239
loud talk radio. This is The McCullough Report.

1147
00:43:05,239 --> 00:43:07,659
And I'm doctor Peter McCullough, also rebroadcasting

1148
00:43:07,960 --> 00:43:09,659
on Courageous Discourse substack,

1149
00:43:10,304 --> 00:43:10,804
Fantastic

1150
00:43:11,425 --> 00:43:11,925
convo

1151
00:43:12,625 --> 00:43:13,764
with John Catanzaro.

1152
00:43:14,144 --> 00:43:15,444
I've learned so much

1153
00:43:16,304 --> 00:43:18,304
about how complicated the world is of can

1154
00:43:18,464 --> 00:43:20,710
is with cancer, John. And and you've

1155
00:43:21,250 --> 00:43:23,809
mentioned that the Pfizer and Moderna, the messenger

1156
00:43:23,809 --> 00:43:25,989
RNA vaccines, you know, have,

1157
00:43:27,170 --> 00:43:27,670
almost

1158
00:43:28,144 --> 00:43:30,405
so many design flaws

1159
00:43:31,025 --> 00:43:33,985
that molecular design flaws that are related to

1160
00:43:33,985 --> 00:43:34,965
their side effects,

1161
00:43:35,344 --> 00:43:37,590
and potentially autoimmune illness

1162
00:43:37,910 --> 00:43:38,570
in cancer.

1163
00:43:39,510 --> 00:43:40,650
Where are we

1164
00:43:41,910 --> 00:43:42,809
with industry

1165
00:43:43,110 --> 00:43:44,329
catching up to

1166
00:43:45,744 --> 00:43:49,184
the potential harms and diseases that messenger RNA

1167
00:43:49,184 --> 00:43:50,404
vaccines can cause?

1168
00:43:51,424 --> 00:43:52,784
No. I think that we are in a

1169
00:43:52,784 --> 00:43:54,304
pretty good space in being able to,

1170
00:43:55,309 --> 00:43:57,570
have what we call a immune a surveillance

1171
00:43:57,710 --> 00:43:58,210
and

1172
00:43:58,590 --> 00:44:00,430
and looking behind the curtain, so to speak,

1173
00:44:00,430 --> 00:44:02,849
of what's really happening in the molecular expressions.

1174
00:44:02,910 --> 00:44:03,410
Right?

1175
00:44:03,844 --> 00:44:06,885
Because, what what, what what most people need

1176
00:44:06,885 --> 00:44:09,125
to realize is that your body has an

1177
00:44:09,125 --> 00:44:09,625
intel,

1178
00:44:10,164 --> 00:44:13,179
molecular bio data points. And but these bio

1179
00:44:13,179 --> 00:44:14,960
data points need to be looked at

1180
00:44:15,260 --> 00:44:16,940
really careful. So, like, in other words, you

1181
00:44:16,940 --> 00:44:19,119
just can't leave one without the other. So

1182
00:44:19,224 --> 00:44:20,744
know, you just can't you you just can't

1183
00:44:20,744 --> 00:44:22,925
look at the DNA without looking at the,

1184
00:44:23,224 --> 00:44:26,105
you know, the RNA transcriptome expressions. You can't

1185
00:44:26,105 --> 00:44:28,184
just look at RNA without looking at the

1186
00:44:28,184 --> 00:44:28,684
proteome

1187
00:44:29,260 --> 00:44:30,700
expressions. You have to look at all of

1188
00:44:30,700 --> 00:44:33,260
these things together in correlative values so that

1189
00:44:33,260 --> 00:44:34,720
you can see what's amplified,

1190
00:44:35,180 --> 00:44:37,420
what what is under expressed, you know, how

1191
00:44:37,420 --> 00:44:40,625
how the environment is really responding to whatever

1192
00:44:41,085 --> 00:44:41,585
mechanism

1193
00:44:41,885 --> 00:44:43,885
of the salt there there might be. Right?

1194
00:44:43,885 --> 00:44:46,204
And and, you you know as well as

1195
00:44:46,204 --> 00:44:47,929
I do, Peter, that because I read your

1196
00:44:47,929 --> 00:44:49,530
pay you know, I've I've been reading a

1197
00:44:49,530 --> 00:44:50,429
lot of your papers.

1198
00:44:50,809 --> 00:44:52,329
And and thank you so much for your

1199
00:44:52,329 --> 00:44:54,750
contributions because it's, it's amazing.

1200
00:44:55,050 --> 00:44:57,505
It really it really helps to set

1201
00:44:57,965 --> 00:44:59,805
a lot of clarity out there. You know,

1202
00:45:00,445 --> 00:45:02,364
one of the first papers that actually came

1203
00:45:02,364 --> 00:45:05,105
out, which was the mRNA vaccine, the BNT

1204
00:45:05,650 --> 00:45:07,269
162 b 2. Right?

1205
00:45:07,969 --> 00:45:09,730
That pay that first paper that came out

1206
00:45:09,730 --> 00:45:11,569
when everybody was saying, well, no. I mean,

1207
00:45:11,969 --> 00:45:13,889
it's never gonna get back into the DNA.

1208
00:45:13,889 --> 00:45:15,994
The DNA is not gonna be corrupted. You

1209
00:45:15,994 --> 00:45:18,255
know what? That's that's totally false

1210
00:45:18,714 --> 00:45:20,554
because the m r Let me ask you.

1211
00:45:20,554 --> 00:45:23,114
Now we're talking about the paper. Marcus Alden

1212
00:45:23,114 --> 00:45:24,255
is the first author.

1213
00:45:24,789 --> 00:45:27,109
Yang de Marenis is the senior author. So

1214
00:45:27,109 --> 00:45:28,009
Malmo, Sweden,

1215
00:45:28,309 --> 00:45:30,009
human hepatoma cell line.

1216
00:45:30,389 --> 00:45:32,304
And that center part, the amplicon

1217
00:45:33,505 --> 00:45:35,925
the region that they could, you know, reliably

1218
00:45:35,984 --> 00:45:37,905
know was gonna be a good reporter region,

1219
00:45:37,905 --> 00:45:38,644
that 444

1220
00:45:39,184 --> 00:45:41,764
base pair. I thought the paper showed,

1221
00:45:42,210 --> 00:45:43,190
I think, convincingly,

1222
00:45:43,489 --> 00:45:44,869
it did get into

1223
00:45:45,489 --> 00:45:46,469
human DNA.

1224
00:45:47,090 --> 00:45:47,590
Now

1225
00:45:48,449 --> 00:45:50,610
are you telling me as an expert that

1226
00:45:50,610 --> 00:45:51,829
you think that's legit?

1227
00:45:52,514 --> 00:45:54,755
I know I know it's legit by the

1228
00:45:54,755 --> 00:45:57,074
expressions that we're actually seeing on the tran

1229
00:45:57,155 --> 00:45:58,454
on the RNA transcription

1230
00:45:58,914 --> 00:46:00,739
line. So we can see, like, for instance,

1231
00:46:00,739 --> 00:46:03,160
shifts and turns in, as I mentioned earlier,

1232
00:46:03,220 --> 00:46:05,079
DNA mismatch repair proteins.

1233
00:46:05,860 --> 00:46:07,000
We're actually seeing,

1234
00:46:07,860 --> 00:46:08,360
evidences

1235
00:46:08,660 --> 00:46:12,255
of, elevated destructive cytokine activity or toggle,

1236
00:46:12,635 --> 00:46:14,954
immune regulators that are faulty. You know, when

1237
00:46:14,954 --> 00:46:17,275
you're actually talking about this, this virtually affects

1238
00:46:17,275 --> 00:46:18,815
every protein in the body.

1239
00:46:19,260 --> 00:46:20,800
And, you know, particularly,

1240
00:46:21,179 --> 00:46:23,900
you know, in relation to accelerated cancers that

1241
00:46:23,900 --> 00:46:26,219
are associated with you could see tumor promoters

1242
00:46:26,219 --> 00:46:28,539
and 2 tumor suppressors totally out of whack

1243
00:46:28,539 --> 00:46:29,984
where they switch roles.

1244
00:46:30,284 --> 00:46:32,364
I mean, they when you you start switching

1245
00:46:32,364 --> 00:46:34,924
roles, it's not just about the cancer evolution

1246
00:46:34,924 --> 00:46:36,605
that's causing you to switch in the role.

1247
00:46:36,605 --> 00:46:39,139
When you have a destructive protein type of

1248
00:46:39,139 --> 00:46:41,539
transcript message that's coming out there with rogue

1249
00:46:41,539 --> 00:46:44,260
effects, then you wind up getting very poor

1250
00:46:44,260 --> 00:46:44,760
expressed,

1251
00:46:45,539 --> 00:46:47,880
activity of these these tumor proteins,

1252
00:46:48,474 --> 00:46:49,295
tumor suppressor,

1253
00:46:50,074 --> 00:46:51,135
tumor promoters

1254
00:46:52,554 --> 00:46:54,094
that actually are.

1255
00:46:55,034 --> 00:46:56,809
And and a lot of the times, we're

1256
00:46:56,809 --> 00:47:00,809
seeing relationships with, you know, the mRNA getting

1257
00:47:00,809 --> 00:47:01,550
back into

1258
00:47:02,010 --> 00:47:04,429
get into bad messaging, back into splice

1259
00:47:04,735 --> 00:47:07,454
splice variant type activity that happens with the

1260
00:47:07,454 --> 00:47:07,954
DNA.

1261
00:47:08,414 --> 00:47:08,914
So,

1262
00:47:10,335 --> 00:47:11,934
so there's no doubt in my mind we're

1263
00:47:11,934 --> 00:47:12,434
seeing,

1264
00:47:12,735 --> 00:47:13,969
we're actually seeing mRNA,

1265
00:47:16,670 --> 00:47:17,409
being reintegrated

1266
00:47:17,710 --> 00:47:18,610
into DNA.

1267
00:47:19,150 --> 00:47:21,409
And then as you know, this propagates over,

1268
00:47:21,964 --> 00:47:23,885
you know, the cell progeny. So with each

1269
00:47:23,885 --> 00:47:25,804
cell progeny that happens, you know, you have

1270
00:47:26,125 --> 00:47:28,204
you're you're having these billions of copies that

1271
00:47:28,204 --> 00:47:30,224
are happening, you know, with new cellular,

1272
00:47:30,849 --> 00:47:33,650
with new cellular colonies forming. Well, now let

1273
00:47:33,650 --> 00:47:35,329
now let me ask you, John. Do you

1274
00:47:35,329 --> 00:47:36,710
think the entire

1275
00:47:37,329 --> 00:47:38,949
code let's say Pfizer,

1276
00:47:40,105 --> 00:47:41,945
the code I don't know if it's, like,

1277
00:47:41,945 --> 00:47:44,925
34 100 base pairs or 4000 base pairs.

1278
00:47:45,065 --> 00:47:47,805
Do you think the entire code is reverse

1279
00:47:47,864 --> 00:47:50,170
transcribed into into human DNA?

1280
00:47:51,429 --> 00:47:53,530
I don't know about the entire code itself,

1281
00:47:53,590 --> 00:47:55,690
though the entire code can be.

1282
00:47:56,070 --> 00:47:58,150
It it could be actually segments of the

1283
00:47:58,150 --> 00:47:58,650
code.

1284
00:47:59,054 --> 00:48:00,974
So when we're talking about segments of a

1285
00:48:00,974 --> 00:48:03,155
code, then you're talking about, you know,

1286
00:48:03,614 --> 00:48:05,375
a segment of a code can actually create

1287
00:48:05,375 --> 00:48:05,614
a pro

1288
00:48:06,255 --> 00:48:08,010
an an a variant protein switch, and we

1289
00:48:08,010 --> 00:48:09,769
you have no idea what that a variant

1290
00:48:09,769 --> 00:48:11,769
protein switch would be unless you're looking at

1291
00:48:11,769 --> 00:48:13,949
the data expression as a whole.

1292
00:48:14,250 --> 00:48:17,034
So we what you can act for instance,

1293
00:48:17,094 --> 00:48:19,434
mitochondrial proteins on the complex, mitochondrial

1294
00:48:19,735 --> 00:48:22,054
complex proteins, you know, there's a complex the

1295
00:48:22,054 --> 00:48:25,179
complex one through, you know, 1 the complex

1296
00:48:25,239 --> 00:48:28,039
1 through 4. What we're seeing is complex

1297
00:48:28,039 --> 00:48:29,260
1, 2, and 3,

1298
00:48:29,960 --> 00:48:30,940
effects of,

1299
00:48:31,275 --> 00:48:31,934
pro inflammatory

1300
00:48:32,394 --> 00:48:35,694
activity associated with the COVID RNA.

1301
00:48:36,234 --> 00:48:39,214
So you actually wind up seeing a very,

1302
00:48:39,730 --> 00:48:41,670
loose complex formation

1303
00:48:42,130 --> 00:48:43,429
in molecular simulations

1304
00:48:43,969 --> 00:48:45,989
to where the complexes are not tightly,

1305
00:48:46,434 --> 00:48:49,655
tightly knit together. They become fractured and unbound.

1306
00:48:50,195 --> 00:48:52,594
And and when you're talking about anything in

1307
00:48:52,594 --> 00:48:53,974
the complex of a mitochondria,

1308
00:48:54,750 --> 00:48:56,849
you know, creating that type of a,

1309
00:48:57,710 --> 00:49:01,010
signaling flaw, you you're talking about the electronic

1310
00:49:01,150 --> 00:49:03,894
transport chain be being affected. You're talking about

1311
00:49:03,894 --> 00:49:04,715
bad packing

1312
00:49:05,015 --> 00:49:07,255
of proteins being affected all the way around.

1313
00:49:07,255 --> 00:49:07,994
The mitochondria,

1314
00:49:09,175 --> 00:49:10,394
dysfunction happens.

1315
00:49:10,849 --> 00:49:11,590
The mitophagy

1316
00:49:11,890 --> 00:49:13,269
happens with an accelerated

1317
00:49:13,890 --> 00:49:15,510
rate, and then, you know,

1318
00:49:15,890 --> 00:49:18,230
and then the cells begin to die

1319
00:49:18,610 --> 00:49:19,349
very quickly.

1320
00:49:19,744 --> 00:49:22,324
Right? Oh my lord. There's there's

1321
00:49:22,945 --> 00:49:25,425
there's there's thousands of mitochondria in the same

1322
00:49:25,425 --> 00:49:25,925
cell.

1323
00:49:26,465 --> 00:49:28,385
So, you know, it it is not just

1324
00:49:28,385 --> 00:49:30,769
like 1 or 2. So you gotta you

1325
00:49:30,769 --> 00:49:32,449
have a lot you have a lot of

1326
00:49:32,449 --> 00:49:35,010
mitochondrial interface. And if you if you have

1327
00:49:35,010 --> 00:49:37,650
if you have a a a very strong,

1328
00:49:37,969 --> 00:49:38,789
bad signaling,

1329
00:49:39,484 --> 00:49:41,585
complex, you're going to have, mitochondrial

1330
00:49:41,964 --> 00:49:44,384
overheating and destruction happening pretty rapidly.

1331
00:49:45,085 --> 00:49:46,684
And and a lot of these a lot

1332
00:49:46,684 --> 00:49:49,109
of times what you're seeing with mRNA splice

1333
00:49:49,109 --> 00:49:49,609
segments

1334
00:49:49,909 --> 00:49:53,130
affecting this is that it creates that accelerated,

1335
00:49:53,909 --> 00:49:54,409
aberrant,

1336
00:49:54,949 --> 00:49:55,769
type activity.

1337
00:49:57,214 --> 00:49:58,835
Now could you see that

1338
00:49:59,295 --> 00:50:03,155
with no genomic integration, just the Pfizer, Moderna,

1339
00:50:03,214 --> 00:50:04,194
messenger RNA,

1340
00:50:04,974 --> 00:50:06,675
moving in and out of cells?

1341
00:50:07,760 --> 00:50:09,619
Yes. I see that. Of course, you can.

1342
00:50:09,840 --> 00:50:11,059
Okay. Well,

1343
00:50:12,079 --> 00:50:13,380
with with an injection,

1344
00:50:14,454 --> 00:50:16,614
people have have tried to, you know, get

1345
00:50:16,614 --> 00:50:19,675
their heads around this. Is does every cell

1346
00:50:19,894 --> 00:50:20,394
encounter

1347
00:50:21,070 --> 00:50:23,550
the messenger RNA as every cell, or is

1348
00:50:23,550 --> 00:50:25,469
it is it gonna be a mosaic, just

1349
00:50:25,469 --> 00:50:28,605
some cells or or some few cells? Yeah.

1350
00:50:28,605 --> 00:50:29,985
It depends on the susceptibility

1351
00:50:30,285 --> 00:50:31,505
of the of the individual.

1352
00:50:32,045 --> 00:50:33,885
So in other words, the, you know, what

1353
00:50:33,885 --> 00:50:34,864
I call the

1354
00:50:35,710 --> 00:50:37,869
the intelligence center of the immune system, which

1355
00:50:37,869 --> 00:50:40,429
is found on chromosome number 6, is your

1356
00:50:40,429 --> 00:50:43,394
HLA center, which is actually allowing for the

1357
00:50:43,394 --> 00:50:47,554
prediction of susceptibility, compatibility, adaptability. Right? So remember

1358
00:50:47,554 --> 00:50:49,155
when COVID hit, there was a lot of

1359
00:50:49,315 --> 00:50:50,614
we we had the opportunity

1360
00:50:50,914 --> 00:50:54,380
opportunity to develop a epitope strategy that hit

1361
00:50:54,380 --> 00:50:57,260
the viral expressions on 8 different targets. And

1362
00:50:57,260 --> 00:50:59,659
we we put that paper out back in

1363
00:50:59,659 --> 00:51:00,159
20,

1364
00:51:00,954 --> 00:51:01,454
2021

1365
00:51:01,755 --> 00:51:02,494
or 2022.

1366
00:51:03,835 --> 00:51:05,675
And it was after the fact. We we

1367
00:51:05,675 --> 00:51:07,675
we worked on a mutant strain of SARS

1368
00:51:07,675 --> 00:51:10,519
CoV 2. So we we knew that whatever

1369
00:51:10,519 --> 00:51:11,720
we were gonna do there, we would have

1370
00:51:11,720 --> 00:51:13,800
the infants. We had a complete 90 it

1371
00:51:13,800 --> 00:51:14,700
was a 99.5

1372
00:51:15,640 --> 00:51:17,099
eradication of the virus

1373
00:51:17,515 --> 00:51:21,355
with actual recovery and regenerative activity of damaged

1374
00:51:21,355 --> 00:51:21,855
tissue.

1375
00:51:22,394 --> 00:51:24,474
So so what you wind up seeing is

1376
00:51:24,474 --> 00:51:26,155
is that, like you're saying, it could be

1377
00:51:26,155 --> 00:51:26,894
a mosaic

1378
00:51:27,549 --> 00:51:29,969
depending upon the susceptibility of the individual.

1379
00:51:30,269 --> 00:51:32,849
Okay? If they have a very strong susceptibility

1380
00:51:33,150 --> 00:51:34,909
to they're going to have a lot more

1381
00:51:34,909 --> 00:51:37,174
destructive influence in their body. So it could

1382
00:51:37,174 --> 00:51:39,594
actually hit their kidneys, it could hit their,

1383
00:51:39,655 --> 00:51:41,734
you know, their heart muscle, it could hit

1384
00:51:41,734 --> 00:51:44,295
their brain tissue, in which you've actually seen

1385
00:51:44,295 --> 00:51:45,114
some significant,

1386
00:51:46,440 --> 00:51:46,940
correlative,

1387
00:51:48,119 --> 00:51:51,079
activity with various type of fibrous activity that's

1388
00:51:51,079 --> 00:51:51,579
occurred

1389
00:51:52,039 --> 00:51:53,739
because Do you think it's susceptibility

1390
00:51:54,875 --> 00:51:55,694
that explains

1391
00:51:56,635 --> 00:51:58,795
why some people are injured and others aren't?

1392
00:51:58,795 --> 00:51:59,534
And why

1393
00:51:59,914 --> 00:52:02,974
different organ systems? Do you think it's more

1394
00:52:10,130 --> 00:52:12,424
a And I think number 2, if we

1395
00:52:12,424 --> 00:52:14,184
have a a very high,

1396
00:52:14,505 --> 00:52:15,005
susceptibility,

1397
00:52:16,264 --> 00:52:18,420
HLA pattern, then yes. I mean, it's like

1398
00:52:18,579 --> 00:52:20,579
it's similar to what you see with an

1399
00:52:20,579 --> 00:52:21,480
organ rejection.

1400
00:52:21,859 --> 00:52:23,940
So if you're actually seeing an organ rejection,

1401
00:52:23,940 --> 00:52:24,440
right,

1402
00:52:24,900 --> 00:52:25,400
you're

1403
00:52:25,780 --> 00:52:26,280
you're

1404
00:52:26,684 --> 00:52:28,844
you're going to have a very vigorous response

1405
00:52:28,844 --> 00:52:31,885
in destructing destroying an organ that's transplanted in

1406
00:52:31,885 --> 00:52:34,125
it if it's not a good match. So

1407
00:52:34,125 --> 00:52:36,304
it's the it's it's kinda using that,

1408
00:52:36,859 --> 00:52:39,739
the rejection system. The HOA system is like

1409
00:52:39,900 --> 00:52:42,799
basically was is known as the rejection system

1410
00:52:43,099 --> 00:52:44,960
that allows for tissue matching,

1411
00:52:45,724 --> 00:52:47,324
and but now it's a lot more than

1412
00:52:47,324 --> 00:52:50,625
that. It's actually the driving force of of,

1413
00:52:50,925 --> 00:52:52,304
of immune compatibilities

1414
00:52:52,765 --> 00:52:53,505
and susceptibilities.

1415
00:52:54,619 --> 00:52:56,139
So what we can see is that you

1416
00:52:56,139 --> 00:52:58,699
can correlate this with various type of you

1417
00:52:58,699 --> 00:53:00,639
know, like if a person is more susceptible

1418
00:53:00,780 --> 00:53:02,480
to a specific viral strain

1419
00:53:03,045 --> 00:53:05,364
than, than, you know, some, some other person

1420
00:53:05,364 --> 00:53:07,925
that has a very strong, a strong resistance

1421
00:53:07,925 --> 00:53:10,744
against it. You know, certain HLA patterns demonstrate

1422
00:53:11,369 --> 00:53:12,109
good resistance

1423
00:53:12,730 --> 00:53:13,230
or

1424
00:53:13,609 --> 00:53:14,109
or

1425
00:53:14,409 --> 00:53:17,210
the the contrary. They could be susceptible, highly

1426
00:53:17,210 --> 00:53:17,710
susceptible.

1427
00:53:18,170 --> 00:53:20,029
Do do you think spike protein,

1428
00:53:22,204 --> 00:53:25,244
produced from the messenger RNA vaccines and frame

1429
00:53:25,244 --> 00:53:26,304
shifted proteins,

1430
00:53:26,684 --> 00:53:28,364
do you think they're expressed on the cell

1431
00:53:28,364 --> 00:53:28,864
surface?

1432
00:53:30,920 --> 00:53:32,039
I I think that they,

1433
00:53:32,599 --> 00:53:34,059
I think that they are,

1434
00:53:35,400 --> 00:53:37,880
they can be expressed in various type of,

1435
00:53:38,199 --> 00:53:41,234
ways. For instance, if we're talking about the

1436
00:53:41,234 --> 00:53:43,114
the corruption of the of the cell signaling

1437
00:53:43,114 --> 00:53:44,054
in the nucleus,

1438
00:53:45,315 --> 00:53:47,239
and and we're getting, you know and and

1439
00:53:47,239 --> 00:53:49,239
it may not necessarily hit the 1st cell

1440
00:53:49,239 --> 00:53:50,680
cycle. Like, in other words, you're looking at

1441
00:53:50,680 --> 00:53:52,539
the first cells. They may not be necessarily

1442
00:53:52,599 --> 00:53:55,019
hitting that, but then you have an uptake

1443
00:53:55,079 --> 00:53:56,220
of another systemic,

1444
00:53:56,815 --> 00:53:59,155
related cell, and it starts to generate,

1445
00:54:00,175 --> 00:54:01,855
you know, this activity. Then all of a

1446
00:54:01,855 --> 00:54:03,615
sudden, you're starting to see a a a

1447
00:54:03,615 --> 00:54:05,315
cumulative effect of propagated

1448
00:54:06,050 --> 00:54:08,849
bad, you know, bad cell signaling across the

1449
00:54:08,849 --> 00:54:10,609
board, which then, you know, in a lot

1450
00:54:10,609 --> 00:54:12,449
of cases, like in the cancer case, when

1451
00:54:12,449 --> 00:54:13,255
you have tumors,

1452
00:54:13,654 --> 00:54:16,074
associated proteins, tumor specific proteins,

1453
00:54:16,534 --> 00:54:19,014
the mRNA could be drivers of these TA

1454
00:54:19,014 --> 00:54:20,634
TSA TAA relationships,

1455
00:54:21,014 --> 00:54:23,210
right? Because of the fact they're corrupting the

1456
00:54:23,210 --> 00:54:26,090
protein expressions. And then you're gonna find that

1457
00:54:26,090 --> 00:54:28,650
this, you're gonna find that the, the, the

1458
00:54:28,650 --> 00:54:31,625
cell is no longer expressing a healthy,

1459
00:54:32,244 --> 00:54:32,744
cell,

1460
00:54:33,285 --> 00:54:37,125
membrane receptivity. It's it's showing dysfunctional proteins on

1461
00:54:37,125 --> 00:54:39,440
the surface. Yeah. I mean In that in

1462
00:54:39,440 --> 00:54:41,700
that way, you know, it may not necessarily

1463
00:54:41,840 --> 00:54:44,019
be direct, but it would be indirect,

1464
00:54:44,400 --> 00:54:45,380
pending upon

1465
00:54:46,295 --> 00:54:48,454
the, you know, the cell cycling. Because as

1466
00:54:48,454 --> 00:54:49,755
you know, the mRNA

1467
00:54:50,214 --> 00:54:50,795
will definitely,

1468
00:54:51,974 --> 00:54:54,375
get back to more like I was saying

1469
00:54:54,375 --> 00:54:57,969
earlier, it hits the the WNT notch system

1470
00:54:58,510 --> 00:55:00,510
sideways. It's not the only system, but it

1471
00:55:00,510 --> 00:55:02,929
also hits DNA mismatch repair system.

1472
00:55:03,295 --> 00:55:06,014
And and then we start seeing some pretty

1473
00:55:06,014 --> 00:55:07,714
funky things happen. Mhmm.

1474
00:55:08,014 --> 00:55:10,175
Well, listen. We only have about a minute

1475
00:55:10,175 --> 00:55:12,300
left, but I have to ask you. Give

1476
00:55:12,300 --> 00:55:14,079
us some hope. Do you think

1477
00:55:14,859 --> 00:55:17,900
the vaccine injured have an opportunity for this

1478
00:55:17,900 --> 00:55:19,744
new paradigm of personalization,

1479
00:55:20,204 --> 00:55:20,704
proteomics,

1480
00:55:21,244 --> 00:55:22,065
urine and blood,

1481
00:55:22,364 --> 00:55:23,344
and then tailored

1482
00:55:24,844 --> 00:55:26,864
protein therapy or peptide therapy?

1483
00:55:27,440 --> 00:55:29,840
Absolutely. Because these strategies that are n of

1484
00:55:29,840 --> 00:55:32,800
1 designed personalized. Right? They're gonna get directly

1485
00:55:32,800 --> 00:55:35,280
to those bad, expressed targets. You know, if

1486
00:55:35,280 --> 00:55:38,494
you have what we call excessive cyto cytokine,

1487
00:55:39,275 --> 00:55:41,914
enhancement that you don't wanna see, and you

1488
00:55:41,914 --> 00:55:44,635
have a pro inflammatory destructive posture, if that's

1489
00:55:44,635 --> 00:55:45,375
not mitigated

1490
00:55:45,789 --> 00:55:48,109
appropriately by, you know, using the right,

1491
00:55:48,509 --> 00:55:49,009
peptide,

1492
00:55:49,869 --> 00:55:50,369
assembly,

1493
00:55:50,750 --> 00:55:52,509
you're you're going you're you're not gonna be

1494
00:55:52,509 --> 00:55:54,474
able to stop that activity. So

1495
00:55:54,875 --> 00:55:57,035
looking under the looking under the hood or

1496
00:55:57,035 --> 00:55:59,114
behind the curtain gives us the ability to

1497
00:55:59,114 --> 00:56:01,515
know how to toggle those switches better and

1498
00:56:01,515 --> 00:56:03,275
how to hit them directly. So we've been

1499
00:56:03,275 --> 00:56:04,255
actually seeing

1500
00:56:04,849 --> 00:56:05,829
very amazing

1501
00:56:06,130 --> 00:56:07,590
results with pro inflammatory

1502
00:56:07,890 --> 00:56:08,950
posturing and

1503
00:56:09,570 --> 00:56:11,670
mitigating against it and people recovering.

1504
00:56:12,174 --> 00:56:14,594
So there is there is hope with personalizations

1505
00:56:14,974 --> 00:56:17,855
for sure. Wow. So exciting. We're gonna have

1506
00:56:17,855 --> 00:56:20,514
to leave it here. Doctor John Catanzano,

1507
00:56:22,089 --> 00:56:23,389
CEO and founder

1508
00:56:23,769 --> 00:56:25,069
of Neo 7 Bioscience.

1509
00:56:25,690 --> 00:56:26,429
We're talking

1510
00:56:27,130 --> 00:56:27,630
personalized

1511
00:56:28,170 --> 00:56:28,670
proteomic,

1512
00:56:30,175 --> 00:56:31,474
in vitro diagnostics,

1513
00:56:32,175 --> 00:56:34,735
coming up with a plan, cancer, vaccine, injury,

1514
00:56:34,735 --> 00:56:35,635
and that administration

1515
00:56:36,014 --> 00:56:36,514
of

1516
00:56:36,940 --> 00:56:37,440
peptides

1517
00:56:37,820 --> 00:56:38,140
that,

1518
00:56:38,940 --> 00:56:42,239
that are therapeutic, that are disease mitigating, potentially

1519
00:56:42,940 --> 00:56:43,440
curative.

1520
00:56:43,954 --> 00:56:45,554
John, thank you so much for joining us

1521
00:56:45,554 --> 00:56:47,554
on the show. Thank you, Peter. It was

1522
00:56:47,554 --> 00:56:49,474
an honor to be on your show, and,

1523
00:56:49,875 --> 00:56:51,734
thank you so much for all the contributions.

1524
00:56:52,034 --> 00:56:53,840
I'm I'm a fan of yours very much

1525
00:56:53,840 --> 00:56:56,800
so. So thank you. Thank you. Let's get

1526
00:56:56,800 --> 00:56:58,800
real. Let's get loud on America Out Loud

1527
00:56:58,800 --> 00:57:01,220
Talk Radio. This is a McCullough Report and

1528
00:57:01,280 --> 00:57:02,900
courageous discourse substack.