Amniotic fluid concentrations of soluble scavenger receptor for hemoglobin (sCD163) in pregnancy complicated by preterm premature rupture of the membranes and histologic chorioamnionitis

A prediction model of histological chorioamnionitis and funisitis in preterm prelabor rupture of membranes: analyses of multiple proteins in the amniotic fluid

OBJECTIVE

To determine the best prediction model of histological chorioamnionitis and funisitis in preterm prelabor rupture of membranes (PPROM) using selected candidate proteins in the amniotic fluid (AF).

MATERIAL AND METHODS

Prospective cohort study. Twenty-six AF proteins were assayed by a multiple immunoassay from 107 women with membranes rupture from 23+0 to 36+6 weeks. The Czech Republic policy is active management, and the majority of women were delivered within 72 h after the rupture of membranes, except for women with PPROM <28+0 weeks who were managed conservatively. The best predictive models to diagnose histological chorioamnionitis and funisitis were calculated by logistic regression depending on the gestational age (GA) at membrane rupture.

RESULTS

Both IL-6 and a combination of IL-10, and migration inhibiting factor (MIF) were the best predictive models of histological chorioamnionitis and funisitis, respectively, with sensitivity, specificity, positive and negative predictive values and positive likelihood ratio (LR+) of 62, 83, 37, 93 and 3.6 and of 63, 91, 53, 94 and 7.0, respectively. Depending on whether GA at membrane rupture was <32 or ≥ 32 weeks, IL-10, alone or in combination with MIF and triggering receptor expressed on myeloid cells-1, was the strongest inflammatory biomarker for funisitis (LR+10.6 and 36.6, respectively).

CONCLUSION

Regardless of the GA at membrane rupture, IL-6 from the AF was the best predictor of histological chorioamnionitis. Amniotic fluid IL-10 was notably accurate in the prediction of funisitis.

CysTRAQ - A combination of iTRAQ and enrichment of cysteinyl peptides for uncovering and quantifying hidden proteomes

Shotgun proteomics is capable of characterizing differences in both protein quality and quantity, and has been applied in various biomedical applications. Unfortunately, the high complexity and dynamic range of proteins in studied samples, clinical in particular, often hinders the identification of relevant proteins. Indeed, information-rich, low abundance proteins often remain undetected, whereas repeatedly reported altered concentrations in high abundance proteins are often ambiguous and insignificant. Several techniques have therefore been developed to overcome this obstacle and provide a deeper insight into the proteome. Here we report a novel approach, which enables iTRAQ reagent quantitation of peptides fractionated based on presence of a cysteine residue (thus CysTRAQ). For the first time, we prove that iTRAQ quantitation is fully compatible with cysteinyl peptide enrichment and is not influenced by the fractionation process. Moreover, the employment of the method combined with high-resolution TripleTOF 5600 mass spectrometer for very fast MS/MS acquisition in human amniotic fluid analysis significantly increased the number of identified proteins, which were simultaneously quantified owing to the introduction of iTRAQ labeling. We herein show that CysTRAQ is a robust and straightforward method with potential application in quantitative proteomics experiments, i.e. as an alternative to the ICAT reagent approach.