ArticlePloS one2018
Inflammatory proteins in maternal plasma, cervicovaginal and amniotic fluids as predictors of intra-amniotic infection in preterm premature rupture of membranes.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic tests for the prediction of histological chorioamnionitis and funisitis in pregnant women with preterm premature rupture of membranes: A systematic review.The Australian & New Zealand journal of obstetrics & gynaecology · 2025Pooled it
- Interleukin 6 for the Prediction of Chorioamnionitis: A Systematic Review and Meta-Analysis.Biomedicines · 2025Review
- Plasma acute phase proteins as potential predictors of intra-amniotic inflammation and infection in preterm premature rupture of membranes.Innate immunity · 2024Article
- Identification and characterization of plasma proteins associated with intra-amniotic inflammation and/or infection in women with preterm labor.Scientific reports · 2024Article
- Serum progesterone, glycosylated hemoglobin and insulin levels with the risk of premature rupture of membranes in gestational diabetes mellitus.Clinics (Sao Paulo, Brazil) · 2024Article
- Chorioamnionitis: An Update on Diagnostic Evaluation.Biomedicines · 2023Review
- Proteomic analysis of plasma to identify novel biomarkers for intra-amniotic infection and/or inflammation in preterm premature rupture of membranes.Scientific reports · 2023Article
- Antenatal diagnosis of chorioamnionitis: A review of the potential role of fetal and placental imaging.Prenatal diagnosis · 2022Review
- Article
- Maternal Plasma and Amniotic Fluid LBP, Pentraxin 3, Resistin, and IGFBP-3: Biomarkers of Microbial Invasion of Amniotic Cavity and/or Intra-amniotic Inflammation in Women with Preterm Premature Rupture of Membranes.Journal of Korean medical science · 2021Article
- Longitudinal evaluation of azithromycin and cytokine concentrations in amniotic fluid following one-time oral dosing in pregnancy.Clinical and translational science · 2021Observational
- Antibody microarray analysis of the amniotic fluid proteome for predicting the outcome of rescue cerclage in patients with cervical insufficiency.Bioscience reports · 2021Article
- Small-volume detection: platform developments for clinically-relevant applications.Journal of nanobiotechnology · 2021Review
- The Role of Innate Immune System in the Human Amniotic Membrane and Human Amniotic Fluid in Protection Against Intra-Amniotic Infections and Inflammation.Frontiers in immunology · 2021Review
- Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic women.Obstetrics & gynecology science · 2020Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe aimed to assess the correlations among multiple cytokine concentrations in the maternal plasma, cervicovaginal fluid (CVF), and amniotic fluid (AF) compartments in women with preterm premature rupture of membranes (pPROM), and to develop a prediction model based on non-invasive measures, having better sensitivity and specificity for the identification of microbial invasion of amniotic cavity (MIAC).
methodThis retrospective study included 75 consecutive women with pPROM (20+0-34+0 weeks), who underwent amniocentesis. Both maternal plasma and CVF samples were collected at the time of amniocentesis. Stored AF, plasma and CVF samples were assayed for cytokine levels [interleukin (IL)-6, IL-8, monocyte chemotactic protein-1, macrophage inflammatory protein (MIP)-1α, MIP-1β] using a multiplex immunoassay kit.
resultsLevels of inflammatory proteins measured in the CVF were significantly correlated with AF proteins levels, whereas none of the proteins in plasma correlated significantly with any in the AF or CVF. Proteins levels measured in the AF and CVF were significantly higher in women with MIAC compared to those without, whereas only high levels of IL-6 in plasma were significantly associated with MIAC. By using stepwise regression analysis, a non-invasive model (using clinical factors and CVF cytokine levels) for the prediction of MIAC was developed; the area under curve of this non-invasive model was similar to that of the invasive model (using clinical factors and AF cytokines).
conclusionsThe levels of inflammatory proteins in the CVF correlated with those in the AF, whereas those in the plasma showed no correlation. A non-invasive model using clinical factors and CVF cytokine levels predicted the risk of MIAC in women with pPROM.
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