Multidimensional proteomics analysis of amniotic fluid to provide insight into the mechanisms of idiopathic preterm birth

PLoS One. 2008 Apr 23;3(4):e2049. doi: 10.1371/journal.pone.0002049.

Abstract

Background: Though recent advancement in proteomics has provided a novel perspective on several distinct pathogenetic mechanisms leading to preterm birth (inflammation, bleeding), the etiology of most preterm births still remains elusive. We conducted a multidimensional proteomic analysis of the amniotic fluid to identify pathways related to preterm birth in the absence of inflammation or bleeding.

Methodology/principal findings: A proteomic fingerprint was generated from fresh amniotic fluid using surface-enhanced laser desorbtion ionization time of flight (SELDI-TOF) mass spectrometry in a total of 286 consecutive samples retrieved from women who presented with signs or symptoms of preterm labor or preterm premature rupture of the membranes. Inflammation and/or bleeding proteomic patterns were detected in 32% (92/286) of the SELDI tracings. In the remaining tracings, a hierarchical algorithm was applied based on descriptors quantifying similarity/dissimilarity among proteomic fingerprints. This allowed identification of a novel profile (Q-profile) based on the presence of 5 SELDI peaks in the 10-12.5 kDa mass area. Women displaying the Q-profile (mean+/-SD, gestational age: 25+/-4 weeks, n = 40) were more likely to deliver preterm despite expectant management in the context of intact membranes and normal amniotic fluid clinical results. Utilizing identification-centered proteomics techniques (fluorescence two-dimensional differential gel electrophoresis, robotic tryptic digestion and mass spectrometry) coupled with Protein ANalysis THrough Evolutionary Relationships (PANTHER) ontological classifications, we determined that in amniotic fluids with Q-profile the differentially expressed proteins are primarily involved in non-inflammatory biological processes such as protein metabolism, signal transduction and transport.

Conclusion/significance: Proteomic profiling of amniotic fluid coupled with non-hierarchical bioinformatics algorithms identified a subgroup of patients at risk for preterm birth in the absence of intra-amniotic inflammation or bleeding, suggesting a novel pathogenetic pathway leading to preterm birth. The altered proteins may offer opportunities for therapeutical intervention and future drug development to prevent prematurity.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Amniotic Fluid / chemistry*
  • Biomarkers / metabolism
  • Down-Regulation / genetics
  • Electrophoresis, Gel, Two-Dimensional
  • Female
  • Hemorrhage
  • Humans
  • Inflammation
  • Placenta / pathology
  • Pregnancy
  • Pregnancy Proteins / analysis
  • Pregnancy Proteins / chemistry
  • Pregnancy Proteins / genetics
  • Premature Birth / etiology*
  • Proteome / analysis
  • Proteome / chemistry
  • Proteomics / methods*
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Software
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
  • Treatment Outcome
  • Umbilical Cord / pathology
  • Up-Regulation / genetics

Substances

  • Biomarkers
  • Pregnancy Proteins
  • Proteome
  • RNA, Messenger