Professor Rachel Tribe PhD, FPhysiol Academics Supervisors Vice Dean (Research & Impact) Professor of Maternal and Perinatal Sciences . Research subject areas Women Contact details rachel.tribe@kcl.ac.uk +44 (0) 20 7188 3638 @rachel_tribe
Evaluating the Government response to the House of Lords inquiry into preterm birth: A commentary on the gaps in maternal mental healthcare PREgnancy Care Integrating translational Science, Everywhere (PRECISE): a prospective cohort study of African pregnant and non-pregnant women to investigate placental disorders - cohort profile Towards the Development of a Conceptual Framework of the Determinants of Pre-eclampsia: A Hierarchical Systematic Review of Biomarkers Community engagement approaches and lessons learned: a case study of the PRECISE pregnancy cohort study in Kenya Assessment of current biomarkers and interventions to identify and treat women at risk of preterm birth A randomised feasibility tolerability study of aminophylline for the prevention of preterm labour Oxytocin Obstetric and gynaecological features in females carrying variants in the skeletal muscle ryanodine receptor type 1 (RYR1) gene: a questionnaire study. Assessment of the thymus in fetuses prior to spontaneous preterm birth using functional MRI Metabolism of Lactobacillus and Gardnerella vaginalis in vaginal defined media INSIGHT-2: mechanistic studies into pregnancy complications and their impact on maternal and child health—study protocol The Immunomodulatory Role of Regulatory T Cells in Preterm Birth and Associated Pregnancy Outcomes Anxiety, depression, and perceived wellbeing in antenatal women at risk of preterm birth: A retrospective cohort study Balancing benefits and risks of exercise in pregnancy: a qualitative analysis of social media discussion Comparing cervical cerclage, pessary and vaginal progesterone for prevention of preterm birth in women with a short cervix (SuPPoRT): A multicentre randomised controlled trial Midwifery continuity of care versus standard maternity care for women at increased risk of preterm birth: A hybrid implementation-effectiveness, randomised controlled pilot trial in the UK Predicting Preterm Birth Using Cell-Free Ribonucleic Acid Corrigendum: Microbiota dynamics, metabolic and immune interactions in the cervicovaginal environment and their role in spontaneous preterm birth (Front. Immunol., (2023), 14, 1306473, 10.3389/fimmu.2023.1306473) Omega-3 fatty acid supply in pregnancy for risk reduction of preterm and early preterm birth Microbiota dynamics, metabolic and immune interactions in the cervicovaginal environment and their role in spontaneous preterm birth Pancreatitis in RYR1-related disorders Adrenal volumes in fetuses delivering prior to 32 weeks’ gestation: an MRI pilot study Amniotic fluid sludge is associated with earlier preterm delivery and raised cervicovaginal interleukin 8 concentrations Longitudinal change in cervical length following vaginal or abdominal cervical cerclage: a randomized comparison Predicting spontaneous preterm birth in asymptomatic high-risk women with cervical cerclage The neutrophil-to-lymphocyte ratio: A low-cost antenatal indicator of placental chorioamnionitis in women who deliver preterm without clinical signs and symptoms of infection Neutrophils Dominate the Cervical Immune Cell Population in Pregnancy and Their Transcriptome Correlates With the Microbial Vaginal Environment Activation of lymphocytes in healthy neonates within hours of birth. Antenatal diagnosis of chorioamnionitis: A review of the potential role of fetal and placental imaging Predictive RNA profiles for early and very early spontaneous preterm birth Physiological resilience across the lifecourse: in utero and beyond Re.The web-based application "QUiPP v.2" for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use: ten reflections on development, validation and use." Nuclear magnetic resonance metabolomics of symbioses between bacterial vaginosis associated bacteria RNA profiles reveal signatures of future health and disease in pregnancy Labour classified by cervical dilatation & fetal membrane rupture demonstrates differential impact on RNA-seq data for human myometrium tissues Regulatory T Cells in Pregnancy Adverse Outcomes: A Systematic Review and Meta-Analysis Clinicians’ experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making Ursodeoxycholic acid in intrahepatic cholestasis of pregnancy: A systematic review and individual participant data meta-analysis Regulatory T Cells in Pregnancy adverse Outcomes (Rutepo): A Systematic Review & Meta-Analysis The use of functional placental Magnetic Resonance Imaging for assessment of the placenta after prolonged preterm rupture of the membranes in vivo: a pilot study The legacy of maternal SARS-CoV-2 infection on the immunology of the neonate Evaluating aminophylline and progesterone combination treatment to modulate contractility and labor-related proteins in pregnant human myometrial tissues Cervicovaginal microbiota and metabolome predict preterm birth risk in an ethnically diverse cohort Evaluating the use of the QUiPP app and its impact on the management of threatened preterm labour: A cluster randomised trial Transcription factors regulated by cAMP in smooth muscle of the myometrium at human parturition Ursodeoxycholic acid in intrahepatic cholestasis of pregnancy: a systematic review and individual participant data meta-analysis Ten women's decision-making experiences in threatened preterm labour: Qualitative findings from the EQUIPTT trial Ursodeoxycholic acid in intrahepatic cholestasis of pregnancy: an individual participant data meta-analysis Pregnancy cohorts and biobanking in sub-Saharan Africa: A systematic review Changes in cAMP effector predominance are associated with increased oxytocin receptor expression in twin but not infection-associated or idiopathic preterm labour View all publications
21 April 2022 RNA messages can predict preterm birth Material RNA messages from babies, mothers and placenta can predict that a baby will be born…