Proteomic Analysis of Early Mid-Trimester Amniotic Fluid Does Not Predict Spontaneous Preterm Delivery
Journal article, 2016
Objective The aim of this study was to identify early proteomic biomarkers of spontaneous preterm delivery (PTD) in mid-trimester amniotic fluid from asymptomatic women. This is a case-cohort study. Amniotic fluid from mid-trimester genetic amniocentesis (14-19 weeks of gestation) was collected from 2008 to 2011. The analysis was conducted in 24 healthy women with subsequent spontaneous PTD (cases) and 40 randomly selected healthy women delivering at term (controls). An exploratory phase with proteomics analysis of pooled samples was followed by a verification phase with ELISA of individual case and control samples. The median (interquartile range (IQR: 25th; 75th percentiles) gestational age at delivery was 35+5 (33+6-36+6) weeks in women with spontaneous PTD and 40+0 (39+1-40+5) weeks in women who delivered at term. In the exploratory phase, the most pronounced differences were found in C-reactive protein (CRP) levels, that were approximately two-fold higher in the pooled case samples than in the pooled control samples. However, we could not verify these differences with ELISA. The median (25th; 75th IQR) CRP level was 95.2 ng/mL (64.3; 163.5) in women with spontaneous PTD and 86.0 ng/mL (51.2; 145.8) in women delivering at term (p = 0.37; t-test). Proteomic analysis with mass spectrometry of mid-trimester amniotic fluid suggests CRP as a potential marker of spontaneous preterm delivery, but this prognostic potential was not verified with ELISA.
Author
Maria Hallingström
University of Gothenburg
J. Lenco
University of Defence in Brno Faculty of Military Health Sciences
M. Vajrychova
University of Defence in Brno Faculty of Military Health Sciences
M. Link
University of Defence in Brno Faculty of Military Health Sciences
V. Tambor
University Hospital Hradec Kralove
V. Liman
Sahlgrenska University Hospital
Maria Bullarbo
University of Gothenburg
Staffan Nilsson
Chalmers, Mathematical Sciences, Mathematical Statistics
University of Gothenburg
Panos Tsiartas
University of Gothenburg
T. Cobo
CIBER Enfermedades Raras
Sahlgrenska University Hospital
University of Barcelona
M. Kacerovsky
Charles University
University Hospital Hradec Kralove
Bo Jacobsson
University of Gothenburg
PLoS ONE
1932-6203 (ISSN) 19326203 (eISSN)
Vol. 11 5 article no. e0155164- e0155164Subject Categories
Obstetrics, Gynecology and Reproductive Medicine
DOI
10.1371/journal.pone.0155164
PubMed
27214132