title: Preterm labor biomarker discovery in serum using 3 proteomic profiling methodologies.
abstract: OBJECTIVE
  The aim of this study was to identify changes in protein expression in normal pregnancy compared with preterm labor by using 3 proteomic methods.
  
  
  METHODS
  Serum was collected from 25 nonpregnant (n = 5) and pregnant women at 24-40 weeks' gestation (n = 20) who had preterm labor resulting in preterm delivery (n = 5), preterm labor with term delivery (n = 5), term labor resulting in delivery (n = 5), or at term with contractions (n = 5). Undepleted serum was used for surface-enhanced laser desorption ionization and immune-depleted serum for matrix-assisted laser desorption ionization and 2-dimensional electrophoresis.
  
  
  RESULTS
  Surface-enhanced laser desorption ionization identified significantly different peaks between preterm labor resulting in preterm delivery vs term labor resulting in delivery and preterm labor resulting in preterm delivery vs preterm labor with term delivery using 4 surfaces. In preterm labor resulting in preterm delivery vs preterm labor with term delivery, a peak of 7783.2 m/z was significantly up-regulated and at 3164 m/z down-regulated on 3 surfaces. By using 2-dimensional electrophoresis, protein 5364 was significantly different between preterm labor resulting in preterm delivery and term labor resulting in delivery. In preterm labor resulting in preterm delivery, 6 proteins showed decreasing trend and 1 showed increasing trend vs preterm labor with term delivery. Matrix-assisted laser desorption ionization showed a striking difference at 55,000 m/z between preterm labor resulting in preterm delivery and term labor resulting in delivery.
  
  
  CONCLUSIONS
  Surface-enhanced laser desorption ionization identified 2 proteins fulfilling the criteria of putative biomarkers. Biomarker identification may aid in identifying women with preterm labor who will deliver preterm.
authors.affiliation: Department of Obstetrics and Gynecology, University of Cincinnati, Cincinnati, OH, USA.
authors.forename: Caroline L
authors.initials: CL
authors.lastname: Stella
authors.forename: Michael R
authors.initials: MR
authors.lastname: Bennett
authors.forename: Prasad
authors.initials: P
authors.lastname: Devarajan
authors.forename: Kenneth
authors.initials: K
authors.lastname: Greis
authors.forename: Michael
authors.initials: M
authors.lastname: Wyder
authors.forename: Stephen
authors.initials: S
authors.lastname: Macha
authors.forename: Marepalli
authors.initials: M
authors.lastname: Rao
authors.forename: Cristiano
authors.initials: C
authors.lastname: Jodicke
authors.forename: Hind
authors.initials: H
authors.lastname: Moussa
authors.forename: Helen Y
authors.initials: HY
authors.lastname: How
authors.forename: Leslie
authors.initials: L
authors.lastname: Myatt
authors.forename: Rose
authors.initials: R
authors.lastname: Webster
authors.forename: Baha M
authors.initials: BM
authors.lastname: Sibai
mesh_terms: D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood*; D015180:Electrophoresis, Gel, Two-Dimensional; D005260:Female; D006801:Humans; D007752:Obstetric Labor, Premature / Q000175:diagnosis*; D011247:Pregnancy; D040081:Protein Array Analysis; D040901:Proteomics; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
chemical_list: D015415:Biomarkers