| |
Limit of detection (pg/mL)
|
% outside limit of detection
|
Within df
|
Test statistics from mixed model
|
|---|
|
Group (1 df)
|
Age (2 df)
|
Age2 (2 df)
|
|---|
| | | |
F(p)
|
F(p)
|
F(p)
|
|---|
|
Cytokines
|
|
IL-1α
|
0.35
|
15
|
149
|
0.01 (.94)
| | |
|
IL-1RAa
|
0.09
|
49
|
193
|
0.27 (.85)
| | |
|
IL-1βa
|
0.03
|
49
|
193
|
0.23 (.85)
| | |
|
IL-2
|
0.03
|
29
|
117
|
0.46 (.81)
| | |
|
sIL-2RAa
|
0.30
|
33
|
189
|
0.43 (.81)
|
7.72 (.01)
|
3.65 (.13)
|
|
IL-3a
|
0.01
|
46
|
193
|
4.80 (.13)
| | |
|
IL-4
|
0.04
|
28
|
116
|
0.59 (.77)
| | |
|
IL-5
|
0.01
|
10
|
163
|
0.2 (.86)
| | |
|
IL-6a
|
0.06
|
34
|
193
|
0.23 (.85)
| | |
|
IL-7
|
0.03
|
12
|
156
|
0.89 (.70)
| | |
|
IL-9
|
0.01
|
6
|
171
|
0.03 (.93)
| | |
|
IL-10
|
0.01
|
27
|
119
|
0.1 (.88)
|
3.97 (.11)
|
4.5 (.07)
|
|
IL-12p40
|
0.57
|
16
|
146
|
1.12 (.60)
|
5.81 (.04)
| |
|
IL-12p70
|
0.05
|
15
|
147
|
1.27 (.60)
| | |
|
IL-13a
|
0.01
|
37
|
193
|
0.62 (.77)
| | |
|
IL-15a
|
0.17
|
52
|
193
|
0.40 (.81)
| | |
|
IL-17
|
0.01
|
5
|
177
|
0.10 (.88)
| | |
|
IFNα2
|
0.12
|
5
|
174
|
0.79 (.73)
| | |
|
IFNγ
|
0.04
|
2
|
186
|
0.02 (.93)
| | |
|
TNFα
|
na
|
0
|
190
|
0.02 (.93)
|
13.10 (<.001)
| |
|
TNFβ
|
0.02
|
27
|
123
|
0.04 (.93)
| | |
|
TGFα
|
0.02
|
12
|
153
|
1.12 (.60)
| | |
|
Growth factors
|
|
EGF
|
2.70
|
7
|
170
|
8.64 (.04)
| | |
|
G-CSF
|
1.65
|
1
|
186
|
0.10 (.88)
|
3.99 (.11)
| |
|
GM-CSF
|
1.85
|
2
|
186
|
0.36 (.81)
| | |
|
VEGF
|
3.36
|
3
|
185
|
2.26 (.43)
| | |
|
FGF-2
|
4.08
|
8
|
166
|
0.02 (.93)
| | |
|
FLT-3La
|
0.04
|
57
|
193
|
1.19 (.60)
| | |
|
sCD40La
|
1 671 700
|
53
|
193
|
15.0 (<.001)
| | |
|
Chemokines
|
|
CCL2 (MCP-1)
|
na
|
0
|
192
|
2.04 (.44)
| | |
|
CCL3 (MIP-1α)
|
0.03
|
8
|
169
|
1.59 (.53)
| | |
|
CCL4 (MIP-1β)
|
2.9
|
1
|
191
|
0.15 (.88)
| | |
|
CCL7 (MCP-3)
|
0.73
|
21
|
132
|
0.59 (.77)
| | |
|
CCL11 (EOTAXIN)
|
17.06
|
1
|
188
|
0.01 (.94)
| | |
|
CCL22 (MDC)
|
na
|
0
|
190
|
4.73 (.13)
|
7.92 (.01)
| |
|
CXCL1 (GRO)
|
na
|
0
|
193
|
1.65 (.53)
| | |
|
CXCL8 (IL-8)
|
na
|
0
|
189
|
0.12 (.88)
|
1.63 (.53)
|
5.18 (.07)
|
|
CXCL10 (IP-10)
|
na
|
0
|
192
|
2.59 (.42)
| | |
|
CX3CL1 (FRACTALKINE)
|
2.1
|
26
|
119
|
0.02 (.93)
| | |
- Note: df = degrees of freedom; na = not applicable. Out-of-range values were below the limit of detection for all variables except sCD40L, for which out-of-range refers to values above the limit of detection. Out-of-range values were set to missing, except where the % outside the limit of detection was ≥30%. Those variables were analyzed as categorical (out-of-range versus detectable), modeled with a binary distribution and logit link. A series of nested models were tested; sequential models for quadratic, linear, and no effect of age were tested. Where a linear or quadratic term was significant, a contrast statement was used to determine the difference in linear slope or quadratic shape between groups; in no case was this contrast statistically significant. Raw p values were used to determine the best-fitting model; FDR-adjustment was performed after this model was selected and are presented in the table; many terms did not remain significant after correction. All models included sex as a covariate and a random effect of intercept to control for observations correlated within subject
-
aVariables that were analyzed as categorical (out-of-range versus detectable) and modeled with a binary distribution and logit link. The remaining variables were analyzed as Ln-transformed continuous variables with a Gaussian distribution
