Rachel Tribe
From Wikipedia, the free encyclopedia
Rachel Tribe | |
|---|---|
| Alma mater | University of London, UK |
| Scientific career | |
| Fields | reproductive physiology |
| Institutions | University of Maryland, USA :King's College, London, UK |
Rachel Tribe is a British academic who is the Professor of Maternal and Perinatal Sciences at King's College London working on translational research to improve the outcome of pregnancy.
Rachel Marie Tribe studied for her BSc degree at University of Sheffield in Special Dual Honours Physiology and Zoology. She was subsequently awarded a PhD from the University of London for research into dietary salt intake, sodium transport, and bronchial reactivity while working at St. Thomas's Hospital.[1]
Career
Tribe undertook post-doctoral research at the University of Maryland, Baltimore, USA into the regulation of intracellular calcium levels within smooth muscle.[2][1] After returning to the UK, she was employed at King's College, London.
She has developed research programmes that aim to increase understanding of the physiology associated with pregnancy and the female reproductive tract so as to improve the outcome of preterm births and other problems that can arise during pregnancy. One specific aim is to identify biomarkers that can predict preterm birth. Her research group focuses on aspects of ion transport, the immune system and the microbiome.[1] The consequence of interactions of the microbiome of the vagina during pregnancy is an area of particular interest that may lead to tests to screen for the risk of premature birth.[3] The way in which the microbiome of the gut develops in infants after birth, and whether this can be related to health is another area. Her research group collaborates with others in the UK as well as with researchers in countries such as the USA, Australia, Kenya, Mozambique and India.[1] She is a member of the PRECISE network that aims to improve the outcomes of pregnancy in the UK and Africa through a shared research programme.[4]
Tribe has also been part of several collaborations that are trying to develop apps that can be used by pregnant women or doctors to help decide if there is a risk of a preterm birth. One of these is EQUIPTT[5] and another is QUiPP.[6]
