Literature DB >> 21623999

Cluster analysis of placental inflammatory proteins can distinguish preeclampsia from preterm labor and premature membrane rupture in singleton deliveries less than 28 weeks of gestation.

Jessica M Faupel-Badger1, Raina N Fichorova, Elizabeth N Allred, Jonathan L Hecht, Olaf Dammann, Alan Leviton, Thomas F McElrath.   

Abstract

PROBLEM: Inflammation within the preterm placenta is common and leads to adverse outcomes for premature infants. The risks of complications are different between iatrogenic (e.g. PE) and spontaneous (e.g. PL and membrane rupture) causes of preterm delivery, suggesting different underlying biology contributes to these placental conditions. METHOD OF STUDY: Thirty preterm singleton placentas from the following groups were analyzed: (i) severe PE, (ii) preterm premature membrane rupture (pPROM), and (iii) PL. Proinflammatory and anti-inflammatory cytokines, adhesion and angiogenic molecules were measured in placental lysates using a multiplex assay. K-means cluster analysis was used to generate patterns of protein level intensity.
RESULTS: Three cluster patterns were apparent. Placentas from PE had high levels of vascular endothelial growth factor (VEGF) combined with low levels of acute inflammatory proteins (IL-1β, IL-18, IL-6, TNF-α), low IL-1 RA, and high transforming growth factor β (TGF-β). PL and pPROM had higher anti-inflammatory IL-1 RA and thrombomodulin combined with lower VEGF, regardless of proinflammatory cytokines and adhesion molecules. Half of the PL and pPROM cases had clusters of heightened inflammatory responses (lower TGF-β clustered with higher intensity of inflammatory mediators).
CONCLUSION: Discriminating protein patterns were elucidated and may serve as a foundation from which to understand the biologic mechanisms underlying these pregnancy complications.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21623999      PMCID: PMC3165070          DOI: 10.1111/j.1600-0897.2011.01023.x

Source DB:  PubMed          Journal:  Am J Reprod Immunol        ISSN: 1046-7408            Impact factor:   3.886


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