combine genetic, molecular, cellular and statistical … fas lpr +fas+ fas fas time (month) 2 4 d...
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Combine Genetic, Molecular, Cellular and Statistical Analysis to
Determine Disease Variations
Bingjie Li
The University of Texas Health Science Center at Houston, TX 77030, USA
Background
• Precision medicine will improve patient managements and emphasize the differences from both host and pathogens for every disease.
• Statistics helps to identify those differences and advance the clinical acknowledgement.
Identify A Single Host Gene Mutation Changes Disease Onset, Severity,
Location and Molecular Abnormalities
• Fas gene mutation (Faslpr and Fas+)
• Systemic lupus erythematosus (SLE)
• Organ: lung, kidney, liver, and joints
• Molecular marker: MMP, IL-11 and CXCR4
C3
(m
g/m
l)
n=3 3 3 3
Faslpr Faslpr Fas+ Fas+ Model
P=0.4984 P=0.1133
Overall P=0.0031
Faslpr P=0.0136 Fas+ P=0.0218
Time (month) 2 4 A Complement Component 3
Uri
ne
Cre
atin
ine
(m
g/d
l)
Time (month) 2 4 C Urine Albumin
P=0.3940 P=0.0153
Overall P=0.0026
n=3 4 4 3
Faslpr Faslpr Fas+ Fas+ Model
Time (month) 2 4 D ACR
P=0.8954 P=0.0135
Time (month) 2 4 B Urine Creatinine
P=0.5299 P=0.2334
Overall P<0.0001
Overall P=0.0036
Faslpr P=0.0001
Faslpr P=0.0395 Faslpr P=0.0279
Fas+ P=0.0043
Fas+ P=0.0307
Fas+ P=0.0309
n=3 4 4 3
Faslpr Faslpr Fas+ Fas+ Model
n=3 4 4 3
Faslpr Faslpr Fas+ Fas+ Model
Alb
um
in (m
g/d
l)
Alb
um
in c
reat
inin
e r
atio
Control Fas+
A C B F D E
Color MMP MMP/X-ray X-ray Color/MMP/X-ray Color/MMP
G I H L J K
Color MMP MMP/X-ray X-ray Color/MMP/X-ray
Faslpr Fas+
Fas+ Faslpr Kid
ne
y-to
-mu
scle
rat
io
P<0.0001
N=4 4
Statistical Analysis Heart/Lung
Liver Spleen
Kidney
Muscle Bone Knee
Blo
od
A
Fas+ Faslpr IL-11
Fas+ Faslpr
P=0.0002
E IL-11 Lung
Lun
g-to
-mu
scle
rat
io
N=5 5
Fas+ Faslpr
P=0.0139
N=5 5
B
Kn
ee
-to
-mu
scle
rat
io
F IL-11 Knee
C
G
Fas+ Faslpr CXCR4
Fas+ Faslpr
P<0.0001
CXCR4 Liver
Live
r-to
-mu
scle
rat
io
N=5 5
IL-11
Fas+
Faslpr
H Kidney weight
D
Kid
ney
we
igh
t (g
)
P<0.0001
Fas+ Faslpr
N=10 8
Fas+ Faslpr
12
.38
12
.23
9.9
7
5.45
10
.12
5.31 7.87 6.67
Kidney size (mm)
MM
P-2
(n
g/m
l)
n=3
Model
Time (month)
A Serum MMP-2
Overall P=0.0072
2 4 3 2 4 3
B Serum MMP-9
Overall P<0.0001
MM
P-9
(n
g/m
l)
Faslpr Fas+
P=0.0274 P=0.0252
P=0.0002
P=0.0488 P=0.0075
P=0.0133
P=0.0123
P=0.0159
P=0.0103
P=0.0119
P=0.0134
Identify Molecular Difference of Pathogen
• Clostridium Difficile (C. Difficile)
• Pseudomembranous colitis
• Disease Rate:
• Initial recurrence rate: 25%
• Secondary recurrence rate: 45%
• Third recurrence rate: 65%
Floor Source 21 1
21 2
21 3
15 4
7 5
21 6
21 7
21 8
21 9
21 10
21 11
21 12
21 13
21 14
21 15
21 16
15 17
7 18
7 19
21 20
15 21
15 22
15 23
15 24
7 25
7 26
7 27
7 28
7 29
7 30
21 31
15 32
15 33
7 34
7 35
7 36
7 37
7 38
7 39
21 40
21 41
21 42
21 43
21 44
21 45
15 46
15 47
15 48
21 49
21 50
7 51
7 52
7 53
7 54
7 55
7 56
15 58
7 60
21 65
21 72
7 68
7 69
7 92
7 93
21 101
21 96
21 97
7 84
21 77
7 70
21 71
21 103
7 82
7 91
21 88
7 106
7 107
7 78
7 80
7 86
15 89
7 109
21 99
21 102
7 108
7 111
7 61
7 67
7 112
7 113
7 104
7 110
21 98
15 57
7 62
7 59
21 100
7 73
21 76
7 63
7 105
7 64
7 94
7 74
21 66
7 83
7 87
7 81
7 85
15 90
7 75
7 79
21 95
7 115
21 116
7 127
21 123
21 124
21 125
21 117
21 118
15 119
21 121
15 120
21 122
21 126
7 128
7 129
7 130
7 131
15 132
15 133
15 134
15 135
15 136
7 137
7 138
7 139
21 140
21 141
21 142
21 144
21 143
21 145
15 146
15 147
15 148
15 149
15 150
15 151
15 152
7 153
7 154
7 155
7 156
21 157
15 158
15 159
15 160
15 161
15 162
15 163
15 164
7 165
7 168
7 169
7 170
21 171
21 172
15 173
15 175
15 177
15 179
15 178
15 181
15 182
15 180
15 183
Floor A/ Floor B/ Floor C/Environment (living & bath room)/Patient (stool)
P Value
0.2236
Floor (Positive/Total)
3 (6/67=9%)
1 (1/39=3%)
2 (1/47=2%)
0.8475
3 (5/67=75%)
1 (2/39=5%)
2 (4/47=9%)
0.3136
3 (1/67=1%)
1 (3/39=8%)
2 (2/47=4%)
Conclusion
• Biostatistics helps identifying the differences from both host and pathogen sides.
• The genetic differences of the host and pathogen could be the contributors that cause treatment failure.
• The combination of genetic, molecular, cellular and statistical analysis will help us to understand the diseases and develop precision medicine.
Reference
S. Hu, S. Ke, W. Wang, H. Ran, M. Chen, F. Zhang, X. Qiu, M. Jiang, C. Zou. R. Zhang, L. Cao, Y. Wen, R. Fu and C. Chen. A Single Fas Gene Mutation Changes Lupus Onset, Severity, Location, and Molecular Abnormalities in Mice. Current Molecular Medicine; 2015: (15) 1-6.