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We then compared the six models and the unconditional mean model for each of the cytokines based on logic and statistical fitness, using Akaike information criteria (AIC) [16]. Because of the exploratory nature of this study, there was no correction for multiple Crenolanib mw comparisons. 3. Results 3.1. Detection Limits The multiplex was designed to assess 42 factors, but the limits of detection were exceeded with three factors, and there were 5 cytokines that fell below the limit of detection in >50% of the samples. PDGF-AA, PDGF-AB/BB, and RANTES had cytokine levels above detection limits of the assay in 9.9%, 11.2%, and 34.9% of the samples, respectively (Table S1; see Supplementary Material available online at http://dx.doi.org/10.1155/2015/952571). IL-2, IL-3, IL-4, IL-13, and TNF�� had >50% of the samples below the detection limit (Table S1). 3.2. Comparison between Pregnant and Nonpregnant Samples Differences in cytokine profiles between baseline (first trimester) Liothyronine Sodium pregnancy samples and nonpregnant control samples could be identified by PCA (Figure 1). Specifically, we identified significantly higher levels of GRO��, TGF��, EGF, PDGF-AA, Lapatinib ic50 and PDGF-AB/BB and significantly lower levels of sCD40L, IP-10, IL-6, IL-17, IL-13, and MCP-1 in the baseline pregnancy samples (Table 1). When all longitudinal samples were included in a PCA, no difference could otherwise be identified between sample groups. Next, we evaluated whether those differences apparent in early gestation were also present at the end of pregnancy. When comparing the final independent samples obtained at the end of pregnancy to the healthy control samples, the following remained significantly elevated in pregnant women: EGF (330.6 versus 24.8?pg/mL, P = 0.0013), GRO�� (1,153.6 versus 341.6?pg/mL, P

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