Epigenetic Markers in Growth Restricted Human Pregnancies: a Case-controlled Study

Fetal growth restriction is associated with accelerated postnatal weight gain and increased obesity risk in later life.International epidemiological data suggest that the phenomenon of fetal programming links poor intrauterine growth to adult disease, primarily type II diabetes, obesity and metabolic syndrome, conditions increasingly common in Singapore. Suboptimal intrauterine environmental condition s are postulated to affect fetal development through effects on developmental plasticity through epigenetic processes. These effects manifest as poor glucose resistance, insulin resistance, obesity and cardiovascular disease in later life. There is increasing animal data to support this model.

The aim of this study is to determine if epigenetic markers of the metabolic syndrome are present in selected Chinese pregnancies in Singapore.

Hypothesis:

Intrauterine fetal programming is effected through epigenetic changes similar to those previously identified in animal studies. The epigenetic markers can be found in growth restricted Chinese pregnancies in the local population.

Methodology Umbilical cords and cord blood will be collected from twenty unequivocally growth-restricted Chinese pregnancies and twenty appropriately-grown Chinese pregnancies. DNA extracted from these tissues will be subjected to a custom-made DNA methylation array probing for specific changes in 262 candidate genes important to fetal endocrine and metabolic control.

This will be done using either a methylation array or a Sequenorn 2 in the DNA extracts that have been identified through Epigen academic consortium of the Liggins Institute and UK collaborators.

Anthropometric data will be collected from the infants at birth, and subsequently at 3,6,12,18 and 24 months and we will seek differential measures of programming.

Application The discovery of biomarkers indicating shifted developmental trajectories is the most important need in developmental programming research. Birth weight alone is not a valid measure. Biomarkers predictive of later obesity and the metabolic syndrome will be invaluable in formulating preventive strategies for these diseases.