ArticleScientific reports2017
Microbiome profile of the amniotic fluid as a predictive biomarker of perinatal outcome.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed, 98 citations in OpenAlex.
- A Review of Gut Microbiota Dynamics: From Healthy Gestation to Gestational Diabetes in Human and Mouse Models.Biomedicines · 2026Review
- Crosstalk between the microbiome and the mucosal immunoglobulin A system in the lung, in health and disease.Frontiers in cellular and infection microbiology · 2026Review
- Interactions of the maternal microbiome with diet, stress, and infection influence fetal development.The FEBS journal · 2025Review
- Importance of Lactobacilli for Human Health.Microorganisms · 2024Review
- Microbiological investigation of pregnancies following vaginal radical trachelectomy using 16S rRNA sequencing of FFPE placental specimens.FEBS open bio · 2024Article
- The Influence of Dental Status and Blood Parameters Characterizing Endogenous Intoxication on the Timing of Childbirth.Medicina (Kaunas, Lithuania) · 2024Article
- Intracanal microbiome profiles of two apical periodontitis cases in one patient: A comparison with saliva and plaque profiles.Clinical and experimental dental research · 2024Article
- Nanopore-based metagenomics analysis reveals microbial presence in amniotic fluid: A prospective study.Heliyon · 2024Article
- Shaping Microbiota During the First 1000 Days of Life.Advances in experimental medicine and biology · 2024Review
- Antimicrobial stewardship and targeted therapies in the changing landscape of maternal sepsis.Journal of intensive medicine · 2024Review
- Laboratory markers to identify acute histological chorioamnionitis in febrile parturients undergoing epidural analgesia: a retrospective study.BMC pregnancy and childbirth · 2023Article
- Microbial signatures in amniotic fluid at preterm birth and association with bronchopulmonary dysplasia.Respiratory research · 2023Observational
- Insights into the Genital Microbiota of Women Who Experienced Fetal Death in Utero.Microorganisms · 2023Article
- Characterisation of Mid-Gestation Amniotic Fluid Cytokine and Bacterial DNA Profiles in Relation to Pregnancy Outcome in a Small Australian Cohort.Microorganisms · 2023Article
- Comparative Genomic Study of Streptococcus anginosus Reveals Distinct Group of Urinary Strains.mSphere · 2023Article
- Amplification of microbial DNA from bacterial extracellular vesicles from human placenta.Frontiers in microbiology · 2023Article
- Whole-body microbiota of newborn calves and their response to prenatal vitamin and mineral supplementation.Frontiers in microbiology · 2023Article
- The role of goblet cells and mucus in intestinal homeostasis.Nature reviews. Gastroenterology & hepatology · 2022Review
- Salivary microbiome in children with Down syndrome: a case-control study.BMC oral health · 2022Article
- Comprehensive human amniotic fluid metagenomics supports the sterile womb hypothesis.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chorioamnionitis (CAM), an inflammation of the foetal membranes due to infection, is associated with preterm birth and poor perinatal prognosis. The present study aimed to determine whether CAM can be diagnosed prior to delivery based on the bacterial composition of the amniotic fluid (AF). AF samples from 79 patients were classified according to placental inflammation: Stage III (n = 32), CAM; Stage II (n = 27), chorionitis; Stage 0-I (n = 20), sub-chorionitis or no neutrophil infiltration; and normal AF in early pregnancy (n = 18). Absolute quantification and sequencing of 16S rDNA showed that in Stage III, the 16S rDNA copy number was significantly higher and the α-diversity index lower than those in the other groups. In principal coordinate analysis, Stage III formed a separate cluster from Stage 0-I, normal AF, and blank. Forty samples were classified as positive for microbiomic CAM (miCAM) defined by the presence of 11 bacterial species that were found to be significantly associated with CAM and some parameters of perinatal prognosis. The diagnostic accuracy for CAM according to miCAM was: sensitivity, approximately 94%, and specificity, 79-87%. Our findings indicate the possibility of predicting CAM prior to delivery based on the AF microbiome profile.
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