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Predicting Stillbirth: Novel Biomarkers Identified in Maternal Blood

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News

Predicting Stillbirth: Novel Biomarkers Identified in Maternal Blood

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New biomarkers found in maternal blood may allow doctors to prevent stillbirth, according to new research at the University of Alberta.

"When we started analyzing the blood of women who experienced stillbirth and compared them to healthy women, we noticed there's a chemical difference," said David Wishart, lead author and professor in the Department of Biological Sciences. "This suggested that we could predict and potentially prevent stillbirths."

Using a mass spectrometer, Wishart and his colleagues examined maternal blood, and identified four chemicals that showed up consistently in mothers who experienced stillbirth. Combining this with demographic information about the mothers, the researchers discovered biomarkers for predicting signs of first-trimester stillbirth, including a fifth, previously unknown blood chemical, called verruculotoxin.

"Verrucotoxin is likely produced by microbes and fungi," explained Wishart, lead of the Metabolomics Innovation Centre. "This is intriguing because there's anecdotal information about people living in certain areas where there's high mold instances of having high instances of stillbirth."

Using this approach, scientists could develop tools and technology to screen for many other, preventable illnesses that affect both women and children, explained Wishart.

"This research is the tip of a bigger iceberg. By looking at the chemicals in the mother's blood we can actually identify the risk for not just stillbirth, but a whole range of other conditions both for the mother and the fetus."

Because there is still so little known about the verruculotoxin, further investigation and testing is required before a definite relation to stillbirth can be confirmed.

Previous research into predicting stillbirth has focused on genetics. Focusing on chemicals within the body gives scientists a clearer view of the potential causes and reasons. It also to open up possibilities of apply this technique to other risk related conditions that can happen during pregnancy.

This article has been republished from materials provided by the University of Alberta. Note: material may have been edited for length and content. For further information, please contact the cited source.

Reference:
Bahado-Singh, R. O., Syngelaki, A., Mandal, R., Han, B., Li, L., Bjorndahl, T. C., . . . Nicolaides, K. H. (2018). First-trimester metabolomic prediction of stillbirth. The Journal of Maternal-Fetal & Neonatal Medicine, 1-7. doi:10.1080/14767058.2018.1465552

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