In this section
@inproceedings{Parkinson:2016:10.1159/000436957,
author = {Parkinson, JRC and Hyde, MJ and Modi, N},
doi = {10.1159/000436957},
pages = {71--80},
publisher = {Karger},
title = {The search for biomarkers of long-term outcome after preterm birth},
url = {http://dx.doi.org/10.1159/000436957},
year = {2016}
}
TY - CPAPER
AB - Preterm birth and survival rates are rising globally, and consequently there is a growing necessity to safeguard life-long health. Epidemiological and other studies from around the world point to a higher risk of adverse adult health outcomes following preterm birth. These reports encompass morbidities in multiple domains, poorer reproductive health, and reduced longevity. The contributions of genetic inheritance, intrauterine exposures, and postnatal care practices to this altered adult phenotype are not known. Early detection is essential to implement preventive measures and to test protective antenatal and neonatal interventions to attenuate aberrant health trajectories. A satisfactory biomarker of outcome must be predictive of later functional health and ideally remain stable over the period from infancy to childhood and adult life. To date, blood pressure is the index that best fulfils these criteria. High throughput ‘omic' technologies may identify biomarkers of later outcome and health risk. However, their potential can only be realized with initial investment in large, longitudinal cohort studies, which couple serial metabolomic profiling with functional health assessments across the life course.
AU - Parkinson,JRC
AU - Hyde,MJ
AU - Modi,N
DO - 10.1159/000436957
EP - 80
PB - Karger
PY - 2016///
SN - 1664-2147
SP - 71
TI - The search for biomarkers of long-term outcome after preterm birth
UR - http://dx.doi.org/10.1159/000436957
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000387433400008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/50188
ER -
Neonatal Medicine Research Group and Neonatal Data Analysis Unit Manager
(All research related queries)
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Chelsea and Westminster Hospital
ndau@imperial.ac.uk
+44 (0)20 3315 5841
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(Communications related queries only)
dsakyi@imperial.ac.uk
