ArticlePloS one2020
MicroRNAs isolated from peripheral blood in the first trimester predict spontaneous preterm birth.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- MicroRNA Associations with Preterm Labor-A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Is there a maternal blood biomarker that can predict spontaneous preterm birth prior to labour onset? A systematic review.PloS one · 2022Pooled it
- Immunological maladaptation preceding spontaneous preterm birth in human pregnancies.Nature communications · 2026Article
- The single-cell immune profile throughout gestation and its potential value for identifying women at risk for spontaneous preterm birth.European journal of obstetrics & gynecology and reproductive biology: X · 2025Review
- Development of a spontaneous preterm birth predictive model using a panel of serum protein biomarkers for early pregnant women: A nested case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Article
- Predicting Spontaneous Preterm Birth Using the Immunome.Clinics in perinatology · 2024Review
- Value of Non-Coding RNA Expression in Biofluids to Identify Patients at Low Risk of Pathologies Associated with Pregnancy.Diagnostics (Basel, Switzerland) · 2024Review
- Article
- Emerging role of toll-like receptors signaling and its regulators in preterm birth: a narrative review.Archives of gynecology and obstetrics · 2023Review
- The effect of MicroRNAs variants on idiopathic recurrent pregnancy loss.Journal of assisted reproduction and genetics · 2023Article
- Risk Scoring Systems for Preterm Birth and Their Performance: A Systematic Review.Journal of clinical medicine · 2023Review
- Exploring the potential of microRNA as a diagnostic tool for gestational diabetes.Journal of translational medicine · 2023Review
- Circulating Extracellular Vesicles microRNAs Are Altered in Women Undergoing Preterm Birth.International journal of molecular sciences · 2023Article
- First-trimester urinary extracellular vesicles as predictors of preterm birth: an insight into immune programming.Frontiers in cell and developmental biology · 2023Article
- First Trimester Maternal Plasma Aberrant miRNA Expression Associated with Spontaneous Preterm Birth.International journal of molecular sciences · 2022Article
- Article
- Development of a New Biomarker Model for Predicting Preterm Birth in Cervicovaginal Fluid.Metabolites · 2022Article
- Gardnerella vaginalis alters cervicovaginal epithelial cell function through microbe-specific immune responses.Microbiome · 2022Article
- First Trimester Prediction of Preterm Delivery in the Absence of Other Pregnancy-Related Complications Using Cardiovascular-Disease Associated MicroRNA Biomarkers.International journal of molecular sciences · 2022Article
- Extracellular vesicle microRNA in early versus late pregnancy with birth outcomes in the MADRES study.Epigenetics · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveTo predict spontaneous preterm birth among pregnant women in an African American population using first trimester peripheral blood maternal immune cell microRNA. STUDY
designThis was a retrospective nested case-control study in pregnant patients enrolled between March 2006 and October 2016. For initial study inclusion, samples were selected that met the following criteria: 1) singleton pregnancy; 2) maternal body mass index (BMI) <30 kg/m2; 3) blood sample drawn between 6 weeks to 12 weeks 6 days gestation; 4) live born neonate with no detectable birth defects. Using these entry criteria, 486 samples were selected for study inclusion. After sample quality was confirmed, 139 term deliveries (38-42 weeks) and 18 spontaneous preterm deliveries (<35 weeks) were selected for analysis. Samples were divided into training and validation sets. Real time reverse transcription quantitative polymerase chain reaction (rt-qPCR) was performed on each sample for 45 microRNAs. MicroRNA Risk Scores were calculated on the training set and area-under-the-curve receiver-operating-characteristic (AUC-ROC) curves were derived from the validation set.
resultsThe AUC-ROC for the validation set delivering preterm was 0.80 (95% CI: 0.69 to 0.88; p = 0.0001), sensitivity 0.89, specificity of 0.71 and a mean gestational age of 10.0 ±1.8 weeks (range: 6.6-12.9 weeks). When the validation population was divided by gestational age at the time of venipuncture into early first trimester (mean 8.4 ±1.0 weeks; range 6.6-9.7 weeks) and late first trimester (mean 11.5±0.8 weeks; range 10.0-12.9 weeks), the AUC-ROC scores for early and late first trimester were 0.79 (95% CI: 0.63 to 0.91) and 0.81 (95% CI: 0.66 to 0.92), respectively.
conclusionQuantification of first trimester peripheral blood MicroRNA identifies risk of spontaneous preterm birth in samples obtained early and late first trimester of pregnancy in an African American population.
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