Keywords
cytokines - preterm birth - serum - cervicovaginal fluid
While different cytokines are present in varying concentrations throughout the course
of the pregnancy, a balance ensures that the fetus is carried to term. The interleukins
(ILs) assessed in this study included IL-1α, IL-1β, IL-6, IL-8, and IL-10, while other
cytokines, such as tumor necrosis factor (TNF)-α, C-reactive protein (CRP), and matrix
metalloproteinase (MMP)-8, were also measured. While these cytokines generally play
differing roles in the human body, some alterations may be an indicator for other
adverse pregnancy outcomes, and all cytokines can have adverse effects during pregnancy
if their levels are abnormal. IL-1α and IL-1β peak prior to labor onset,[1] while IL-6, IL-8, and IL-10 are all components of the inflammatory pathway that
must be halted to prevent fetal rejection.[2]
[3]
[4] CRP is also involved in the inflammatory process during pregnancy and maternal levels
can be associated with fetal growth restrictions and increased risk of neonatal complications.[5] TNF-α is a multifunctional cytokine, but its primary role during pregnancy is to
terminate development if the embryo has suffered damages that will result in abnormal
development.[6] When this cytokine is released inappropriately, the embryo can be terminated even
when lacking abnormalities.
Cytokine concentrations change throughout pregnancy.[7] Many of those involved with the inflammatory process, including IL-1β and IL-8,
decrease to protect the fetus during gestation.[8] Other lipopolysaccharide-stimulated cytokines, such as IL-6 and TNF-α, have shown
a significant increase across the course of pregnancy.[8] The mechanisms of these changes are not well understood, but the phenomenon has
been observed in longitudinal studies.[8]
[9] Cytokine levels during pregnancy may be specifically linked to precursors to preterm
birth. In particular, the release of inflammatory cytokines, normally in response
to a bacterial infection, accounts for approximately half of all preterm births.[10]
[11] The objective of this study was to assess whether there are differences in cytokine
levels across trimesters between women with preterm and full-term births, controlling
for maternal sociodemographic and personal factors. A secondary objective was to contrast
findings between cytokine levels obtained from cervicovaginal fluid (CVF) and those
obtained from serum.
Materials and Methods
These data were obtained from a prospective, multicenter trial of women with singleton
pregnancies. The longitudinal design assessed demographics and outcomes at each trimester
of pregnancy. Potential participants were approached and screened in the first trimester
of pregnancy. Exclusion criteria targeted conditions with significant influence on
immune markers including preexisting diabetes, heart disease, a medical history of
human immunodeficiency virus (HIV), bacterial vaginosis, sexually transmitted infections,
any autoimmune disease, or positive drug use. The study was approved by the Institutional
Review Boards at each data collection site. Written consent was obtained from all
participants, who were given modest compensation at each trimester. Women who completed
at least one cytokine assessment were retained in the study (N = 272). Of these, there were 257, 234, and 219 with maternal serum measurements and
242, 217, and 194 with CVF measurements across the three trimesters. Cytokines included:
IL-1α, IL-1β, IL-6, IL-8, IL-10, TNF-α, CRP, and MMP-8. Fewer CVF samples were collected,
as about 9% of women did not provide a specimen due to a medical condition (e.g.,
vaginal bleeding, reports of cramping or discomfort) or refusal. The numbers of samples
available for MMP-8 (serum: 185, 164, 150; and CVF: 165, 147, 124, respectively) are
lower than other biomarkers, as it was added at study midpoint. Trimester collection
windows ranged for 6 weeks (8–13, 18–23, and 28–33 weeks) with a minimum of 4 weeks
between collection periods.
Sample Collection and Cytokine Estimation
Clotted blood samples were centrifuged at 2,000 rpm for 10 minutes, and the serum
was divided into three aliquots and stored at −80°C. Samples were analyzed undiluted.
For CVF specimens, samples were obtained after the speculum was placed and the cervix
visualized. An ectocervical sample was collected by sweeping the cervix 360 degrees
and kept in place for 30 seconds to maximize saturation. When removing the swab (source),
a vaginal sample was obtained by sweeping 360 degrees in the vaginal vault/posterior
fornix. The swab was then placed in the proprietary container, firmly pressed against
the inner cryovial wall to ensure maximum seepage of fluid into the buffer container;
and the vial cap was secured. All serum and CVF specimens had sufficient amount for
analysis, as high-sensitivity assays were used to detect below-minimum concentrations.
All samples were immediately refrigerated and were transported to the laboratory within
6 hours, where they were stored at −20°C for a minimum of 24 hours. To further process,
samples were thawed at 4°C and then centrifuged at 3,750 rpm for 15 minutes. For long-term
storage, the samples were split into three aliquots and stored at −80°C. Cytokines
IL-1α, IL-1β, IL-6, IL-8, IL-10, and TNF-α were measured using multiplex Beadlyte
assay (MPXHCYTO-60K-06) on a Luminex IS-100 (Austin, TX) according to the manufacturer's
recommendations. High-sensitivity testing was used for samples below minimum detectable
concentrations. Singleplex assays were used for CRP (Millipore, Billerica, MA) and
MMP-8 (R&D Systems, Minneapolis, MN). The dynamic range of the assays was 50 to 0.016
ng/mL, with a minimum detection concentration of 0.0012 ng/mL. All cytokine data were
generated using Milliplex Analyst Software.
Statistical Analysis
Consistent with prior research,[9] any CVF or serum cytokine value classified as an outlier (i.e., outside of 3 SD
from the mean) was excluded from this analysis. The range in number of excluded values
for any given cytokine and trimester was 1 to 11; the average number of omitted values
across the cytokines and trimesters was 4.4 (SD = 1.8). Prior to analysis, all cytokine
values were log-transformed (natural logarithm) as an adjustment for lack of normality
in the raw values. Bivariate analyses, including the two-sample t-test or chi-square test of association, were used to compare demographic and personal
characteristics between women who experienced preterm versus full-term births. Repeated-measures
mixed modeling was used to discern differences in cytokine levels by preterm birth
status during pregnancy, using the MIXED procedure in SAS. This method was chosen
as it allowed for the inclusion of multiple cytokine values per participant (i.e.,
one for each trimester they were assessed), and also permitted the inclusion of women
who did not have all three assessments in the analysis, whether due to lack of sample,
a measure outside the 3 SD limit, or missed assessments due to preterm birth or other
reasons.
The primary comparison for each mixed model was between length-of-pregnancy groups
(i.e., women with preterm and full-term births). Other factors included in the model
were age, race/ethnicity, education, first-trimester smoking status, and trimester
of pregnancy. We also included the interaction between length-of-pregnancy group and
trimester in the initial models but removed the interaction in all but one model (CVF
IL-1β) due to lack of significance of the trimester by group interaction in the full
model. This suggests that for all cytokines, with the exception of IL-1β in CVF, the
pattern of change over the three trimesters in average cytokine levels did not differ
between the two length-of-pregnancy groups. On the other hand, significant main effects
of length-of-pregnancy group or trimester for some cytokines suggest that there are
differences between the two term groups (averaged over trimester) or among the trimesters
(averaged over term group). Post hoc pairwise comparisons for significant main or
interaction effects were accomplished using Fisher's least significant difference
procedure. All analysis was conducted using SAS v. 9.4; an α level of 0.05 was used
throughout.
Results
Of the 272 women with at least one cytokine measurement during at least one trimester
who also had their length of pregnancy recorded, 39 had preterm births and the remaining
233 participants had full-term births. No differences in maternal age, body mass index,
parity, race, education, income, or smoking status were identified between those who
delivered preterm and term (see [Table 1]). Among those who delivered preterm, the average gestational age at delivery was
34.3 weeks (SD = 2.7). The vast majority of deliveries resulted from spontaneous preterm
birth (n = 26). while others were a result of preterm premature rupture of membranes (PPROM)
or iatrogenic.
Table 1
Comparison of characteristics between length-of-pregnancy groups, including all women
with at least one cytokine level measured during pregnancy (N = 272)
|
Preterm (n = 39)
|
Full-term (n = 233)
|
p
|
Maternal age, mean (SD)
|
26.8 (6.4)
|
26.6 (5.1)
|
0.87[a]
|
Body mass index, mean (SD)
|
26.6 (5.7)
|
26.5 (6.3)
|
0.98[a]
|
Parity, n (%)
|
0
|
15 (44.1%)
|
123 (55.2%)
|
0.24
|
1
|
9 (26.5%)
|
47 (21.1%)
|
2 or more
|
10 (29.4%)
|
53 (23.8%)
|
Race, n (%)
|
White
|
28 (75.7%)
|
176 (75.9%)
|
0.98
|
Other
|
9 (24.3%)
|
56 (24.1%)
|
Education, n (%)
|
Less than high school
|
3 (7.9%)
|
33(14.2%)
|
0.29
|
High school or above
|
35 (92.1%)
|
199 (85.8%)
|
Income, n (%)
|
Less than $20,000
|
13 (35.1%)
|
63 (23.3%)
|
0.39
|
$20,000 or more
|
24 (64.9%)
|
160 (71.7%)
|
First trimester smoking status, n (%)
|
Smoker
|
12 (31.6%)
|
54 (24.0%)
|
0.32
|
Nonsmoker
|
26 (68.4%)
|
171 (76.0%)
|
a Group comparison via two-sample t-test; all other comparisons via chi-square test of association.
CVF Levels across Trimesters by Length-of-Pregnancy Status
Repeated-measures models showed significant main effects of length-of-pregnancy status
(i.e., preterm vs. term) averaged over trimester for IL-6, IL-8, IL-10, TNF-α, and
CRP (see [Table 2]), controlling for maternal age, race, education, and first trimester smoking status.
For each of the cytokines with significant length-of-pregnancy main effects, the CVF
cytokine levels were elevated in those who delivered preterm compared with women with
full-term pregnancies (see [Fig. 1]). A significant difference in the change of CVF IL-1β levels was noted across pregnancy
between women who delivered preterm and term (i.e., significant length-of-pregnancy
by trimester interaction effect; see [Fig. 2]). Women who delivered preterm had significantly elevated levels at mid and late
trimester, compared with those who delivered full-term; there was no difference in
CVF IL-1β between the two groups during early pregnancy (first trimester). No differences
were detected in IL-1α or MMP-8 by preterm birth status, and the interaction between
trimester and length-of-pregnancy was not significant for these two cytokines.
Fig. 1 Mean (95% confidence interval [CI]) untransformed CVF levels among women during pregnancy
significantly varying by length of pregnancy. (a) IL-6, (b) IL-10, (c) CRP, (d) TNF-α.
Fig. 2 Mean (95% CI) untransformed CVF IL-1β levels among women during pregnancy by preterm
birth status at each trimester. Repeated-measures models showed significant elevated
levels among women who delivered preterm in both second (t = 2.2; p = 0.029) and third trimesters (t = 3.9; p < 0.001).
Table 2
Repeated-measures models for each cytokine with main effects of length-of-pregnancy
status and trimester
|
CVF
|
|
Serum
|
n
|
F
|
p
|
n
|
F
|
p
|
IL-1α
|
Length-of-pregnancy
|
226
|
0.2
|
0.64
|
243
|
3.7
|
0.054
|
Trimester
|
4.6
|
0.010
|
1.9
|
0.15
|
IL-1β
|
Length-of-pregnancy
|
223
|
11.4
|
<0.001
|
240
|
4.9
|
0.028
|
Trimester
|
4.6
|
0.011
|
<0.1
|
0.99
|
Length-of-pregnancy × trimester
|
3.0
|
0.049
|
–
|
–
|
IL-6
|
Length-of-pregnancy
|
224
|
7.3
|
0.007
|
242
|
9.1
|
0.0028
|
Trimester
|
0.6
|
0.53
|
0.4
|
0.69
|
IL-8
|
Length-of-pregnancy
|
227
|
4.2
|
0.042
|
243
|
1.0
|
0.32
|
Trimester
|
3.1
|
0.046
|
3.0
|
0.049
|
IL-10
|
Length-of-pregnancy
|
225
|
20.8
|
<0.001
|
239
|
0.5
|
0.49
|
Trimester
|
16.4
|
<0.001
|
1.8
|
0.16
|
CRP
|
Length-of-pregnancy
|
227
|
7.2
|
0.0079
|
234
|
1.2
|
0.27
|
Trimester
|
2.2
|
0.11
|
4.4
|
0.013
|
TNF-α
|
Length-of-pregnancy
|
226
|
26.5
|
<0.001
|
240
|
43.1
|
<0.001
|
Trimester
|
10.1
|
<0.001
|
9.1
|
<0.001
|
MMP-8
|
Length-of-pregnancy
|
158
|
0.2
|
0.62
|
180
|
5.4
|
0.022
|
Trimester
|
3.7
|
0.027
|
2.9
|
0.056
|
Abbreviations: CRP, C-reactive protein; CVF, cervicovaginal fluid; IL, interleukin;
MMP, matrix metalloproteinase; TNF, tumor necrosis factor.
Note: Models adjusted for age, race/ethnicity, education, and first trimester smoking
status; only those with complete data on all covariates, and those with cytokine data
at any trimester, are included in the model.
The main effect of trimester, regardless of term status, was significant for the CVF
measurements of IL-1α, IL-8, IL-10, TNF-α, and MMP-8. With the exception of TNF-α,
each of these cytokines increased as pregnancy progressed. For TNF-α, the level decreased
during the course of pregnancy (see [Fig. 3]). For IL-1α, IL-10, and MMP-8, first-trimester measurements were significantly less
than the measurements at both second and third trimester, while for IL-8 the first-trimester
level was significantly less than only the third trimester. For TNF-α, the level at
first trimester was significantly greater than both second and third trimesters, while
second trimester values were also significantly greater than third.
Fig. 3 Mean (95% CI) untransformed CVF levels among women significantly varying during pregnancy
by trimester. (a) IL-1α, (b) IL-8, (c) IL-10, (d) TNF-α, (e) MMP-8.
Serum Levels across Trimesters by Length-of-Pregnancy Status
Results from the adjusted linear mixed models based on the serum values showed significant
main effects of preterm birth status regardless of trimester for IL-1β, IL-6, TNF-α,
and MMP-8 (see [Table 2]). Serum levels of IL-6, IL-1β, and TNF-α were significantly lower for those who
delivered preterm relative to full-term deliveries, but MMP-8 was significantly higher
(see [Fig. 4]). A difference in systemic levels of IL-1α, IL-8, IL-10, or CRP was not observed
by preterm birth status. None of the eight cytokines measured exhibited a significant
preterm status by trimester interaction.
Fig. 4 Mean (95% CI) untransformed serum levels among women during pregnancy significantly
varying by length of pregnancy. (a) IL-6, (b) TNF-α, (c) MMP-8.
The main effect of trimester, regardless of preterm/full-term birth, was significant
for serum IL-8, TNF-α, and CRP, but not for the other five cytokines assessed. For
IL-8, the level at second trimester was significantly less than at third trimester,
but the first trimester level did not differ significantly from either of the later
levels (see [Fig. 5]). For CRP and TNF-α, an increase was observed over time; for both cytokines, the
first trimester level was significantly less than both second and third, while for
TNF-α the second trimester level was also significantly less than that of the third
trimester.
Fig. 5 Mean (95% CI) untransformed serum levels among women during pregnancy significantly
varying by trimester. (a) IL-8, (b) CRP, (c) TNF-α.
Discussion
For each CVF cytokine that differed by length-of-pregnancy status, values were higher
for preterm than full-term births, averaged over trimester. This included significant
differences in IL-6, IL-8, IL-10, TNF-α, and CRP between women who delivered preterm
versus full-term. This is consistent with previous research findings on higher levels
of CVF IL-8 associated with gestational age,[12] spontaneous preterm birth,[13] and, among women with preterm labor and without PPROM, delivery within 7 days.[14] One study found no association between CVF IL-8 and cervical shortening at 20 or
24 weeks' gestation;[15] given the difference between this result and our present findings, changes in IL-8
may be better detected later in pregnancy, or may be associated with other symptoms
of preterm birth.
A strength of this study is that it is one of the first to examine cytokines in both
serum and CVF across all three trimesters of pregnancy. Also, studies examining preterm
birth often do not validate smoking status, often due to feasibility or cost. Our
study is also among the first to use biochemical validation of smoking status (via
urine cotinine) at each time point.
Several studies have found associations between CVF IL-6 and preterm birth. Higher
levels of CVF IL-6 were associated with delivery within 7 days among women with preterm
labor.[14] In a sample of women tested at hospital admission, CVF IL-6 was significantly higher
among women with PPROM compared with controls, matched for gestational age.[16] Like our investigation, Reyna-Vallasmil et al found CVF IL-6, measured in the second
trimester, was significantly higher among women who later delivered preterm.[17] In contrast, a study by Cox et al with full-term pregnancies did not demonstrate
CVF IL-6 to be significantly different between women either in labor or not in labor.[18]
In congruence with our findings, CVF CRP was found to be associated with microbial
invasion of the amniotic cavity (MIAC) in women with PPROM.[19] Our findings, however, are in contrast to those of Cobo et al, who found that CVF
TNF-α was undetectable in over 50% of a sample of women with PPROM,[19] as well as Seong et al, who found no association between TNF-α and cervical shortening
at 20 or 24 weeks' gestation.[15]
Dutt et al found that CVF IL-10 was significantly higher in non-Caucasian than Caucasian
women in both the second and third trimesters of pregnancy.[20] In fact, the median CVF IL-10 levels among Caucasian women were below the level
of detection in each trimester, so it is notable that IL-10 was associated with preterm
birth in the present study, conducted with a mostly Caucasian (75.8%) sample. It is
possible that Dutt et al's non-Caucasian sample and the present study's sample share
salient similarities (e.g., lower-than-average household income, cumulative life stress)
which contribute to higher levels of CVF IL-10 and an association with preterm birth.
The findings of elevated CVF cytokines, averaged over trimester, among women who delivered
preterm are in contrast with serum cytokine values: for these, nearly all of the cytokines
that exhibited a significant difference for the term/preterm comparison were lower
for preterm births compared with term. This is true for IL-1β, IL-6, and TNF-α, when
averaged over trimester. This finding is very intriguing and a value of the study.
Our finding suggests that expression of the inflammatory response is not consistent
across all biologic pools and, for pregnancy, appears concentrated on the local cervical
reaction when a pathophysiology potentially responsible for preterm birth is present.
Only MMP-8 measured in serum was higher for preterm than term deliveries. A composite
profile of inflammatory mediators may help improve the prediction for preterm birth
and the extent of the response to an ongoing pathophysiology.
Others have found differences in CVF versus serum cytokine levels relative to preterm
birth. Yavari Kia et al found significant differences and no correlation between serum
and CVF levels of IL-6 among women with preterm uterine contractions.[21] Since elevated inflammatory biomarkers are thought to indicate higher risk of earlier
birth, our findings concur with Yavari Kia et al's conclusion that testing for serum
cytokine levels would be not be clinically useful for predicting preterm birth.
Gillespie et al found that IL-1β, IL-6, and TNF-α increased from early to late pregnancy
among a sample of women with a mean gestational age at delivery of over 39 weeks (SD = 1.0–1.1).[22] Other studies, including one by Ferguson et al, have found a similar trajectory
as Gillespie et al for IL-6 (increasing from 20 weeks' gestation to the end of pregnancy).[23]
[24] However, mean values of serum IL-6 were significantly higher for women who delivered
preterm than full-term in Ferguson et al's sample, and there was no significant difference
in serum IL-1β or TNF-α between length-of-pregnancy groups. Our finding that serum
IL-1β, IL-6, and TNF-α levels were lower, when averaged over trimester, for women
with preterm births than full-term births may suggest that the women who delivered
preterm had not yet reached peak levels of these serum cytokines. Alternatively, it
is possible that the women who delivered preterm may have a different pattern or trajectory
of serum cytokines than Gillespie et al's sample of women, most of whom delivered
full-term, and Ferguson et al's sample, which had a higher proportion of nonsmokers.
There was a significant interaction between preterm status and trimester for IL-1β
only. Women who delivered preterm had significantly higher CVF IL-1β values at second
and third trimester, compared with full-term births, but there was no difference between
the preterm status groups during first trimester in CVF IL-1β. One study found associations
between CVF IL-1β and gestational age, active labor, and, among women with full-term
pregnancies, cervical dilation.[12] Other studies, however, found IL-1β to be not associated with cervical length in
the second trimester,[15] nor to be an independent predictor of MIAC.[19] While CVF IL-1β may not be associated with specific symptoms of preterm birth (cervical
shortening, MIAC), our findings indicate a unique difference in CVF IL-1β between
women with preterm and full-term deliveries.
For the main effect of trimester (averaging term/preterm groups together), there tended
to be an increase in level over time for CVF cytokine values. This is true for and
consistent with other studies on IL-1α, IL-8,[12] IL-10, and MMP-8. CVF IL-10 also increased over time, which is similar to Dutt et
al's finding for non-Caucasian, but not for Caucasian, women.[20] However, CVF TNF-α had the opposite relationship: a decrease over time. This is
potentially congruent with earlier findings that CVF TNF-α was undetectable for over
50% of a sample of women with PPROM before 34 weeks' gestation.[19] Taken together, it is possible that TNF-α levels decreased during pregnancy to the
point of going below the threshold of detection for pregnancies further complicated
by PPROM.
The serum values of IL-8, TNF-α, and CRP had similar patterns over time, with a tendency
toward increase in level over trimester. Earlier studies have found similar trajectories
for serum TNF-α,[22]
[23] but Ferguson et al found a quadratic trajectory for serum CRP: increasing until
20 weeks' gestation, and then decreasing until delivery.[23] Our findings also differ from another study's result of no significant difference
in serum IL-8 from first to third trimester, though this was found in a much smaller
sample (n = 26).[24]
Limitations
The study's limitations include the 6-week data collection windows in each trimester,
which may not account for individual differences in cytokine expression within the
same 6-week period. Another limitation was attrition that occurred throughout the
trimesters.
Conclusion
This analysis found differences in cytokine levels throughout pregnancy between women
with preterm and full-term births. For each CVF cytokine that differed by birth status,
values were higher for preterm than term births, averaged over trimester. Numerous
cytokine profiles varied across trimesters in women delivering term versus preterm
in both CVF and serum. These differences indicate the need for further research on
connections between maternal cytokine profiles and birth outcomes.