Table 1:
ChIP-seq and RNA-seq patient characteristics
| Characteristic | ChIP-seq U30a | ChIP-seq O30b | ||||
|---|---|---|---|---|---|---|
| U30a | U30Ca,d | p-value | O30b | O30Cb,d | p-value | |
| Total pooled samples (n) | 9 | 9 | 9 | 9 | ||
| Gestational age (weeks) | 27.79 ± 1.98 | 28.16 ± 1.57 | p=0.67 | 32.54 ± 1.29 | 33.86 ± 2.43 | p=0.17 |
| Birth weight (grams) | 1055 ± 414 | 1177 ± 205 | p=0.44 | 1887 ± 5225 | 2264 ± 509 | p=0.14 |
| Males | 5 (56%) | 4 (44%) | p=0.64 | 4 (44%) | 6 (67%) | p=0.34 |
| Vaginal delivery | 1 (11%) | 4 (44%) | p=0.11 | 1 (11%) | 8 (89%) | p=0.001* |
| Maternal smoking | 0 (0%) | 1 (11%) | p=0.3 | 0 (0%) | 2 (22%) | p=0.13 |
| Gestational hypertension | 2 (22%) | 0 (0%) | p=0.13 | 3 (33%) | 1 (11%) | p=0.26 |
| Gestational diabetes | 0 (0%) | 0 (0%) | p>0.99 | 0 (0%) | 0 (0%) | p>0.99 |
| Prenatal steroids | 9 (100%) | 9 (100%) | p>0.99 | 8 (89%) | 6 (67%) | p=0.26 |
| ChIP-seq Termc | RNA-seq Termc | |||||
| Termc | TermCc,d | p-value | Termc | TermCc,d | p-value | |
| Total pooled samples (n) | 9 | 9 | 9Ue 9Lf |
6Ue 9Lf |
||
| Gestational age (weeks) | 39.9 ± 1.47 | 40.25 ± 1.08 | p=0.57 | 38.65 ± 1.29 38.65 ± 1.29 |
39.29 ± 1.31 39.84 ± 1.34 |
p=0.37 p=0.07 |
| Birth weight (grams) | 3779 ± 556 | 3544 ± 366 | p=0.31 | 3283 ± 623 3283 ± 623 |
3259 ± 693 3354 ± 580 |
p=0.94 p=0.81 |
| Males | 6 (67%) | 6 (67%) | p>0.99 | 3 (33%) 3 (33%) |
3 (50%) 4 (44%) |
p=0.52 p=0.63 |
| Vaginal delivery | 8 (89%) | 4 (44%) | p=0.05 | 4 (44%) 4 (44%) |
3 (50%) 4 (44%) |
p=0.83 p>0.99 |
| Maternal smoking | 0 (0%) | 0 (0%) | p>0.99 | 0 (0%) 0 (0%) |
0 (0%) 0 (0%) |
p>0.99 p>0.99 |
| Gestational hypertension | 0 (0%) | 0 (0%) | p>0.99 | 0 (0%) 0 (0%) |
0 (0%) 1 (11%) |
p>0.99 p=0.3 |
| Gestational diabetes | 0 (0%) | 1 (11%) | p=0.3 | 0 (0%) 0 (0%) |
0 (0%) 1 (11%) |
p>0.99 p=0.3 |
| Prenatal steroids | 0 (0%) | 0 (0%) | p>0.99 | 0 (0%) 0 (0%) |
0 (0%) 0 (0%) |
p>0.99 p>0.99 |
a
U30 = under 30 weeks gestation,
b
O30 = 30–36 weeks gestation,
c
Term = term gestation,
d
C=chorioamnionitis exposure,
e
U=unstimulated,
f
L=LPS stimulated. The student’s t-test was used to test for differences between quantitative data and the Chi-square test was used to test for differences between categorical data.