Posted in | News | Nanomaterials

Unique Particle Characterisation Technique May Help Predict Pre-Eclampsia

NanoSight’s unique particle by particle technology is showing promise at detecting nanoparticles in blood that may prove to be predictors for pre-eclampsia. Professor of Reproductive Sciences, Ian Sargent, of the University of Oxford is leading a team looking at prediction and early diagnosis of pre-eclampsia.

Professor Sargent, who is based at the Women's Centre of the John Radcliffe Hospital, comments, “There is no other condition in maternity that so greatly threatens both mother and child. In the UK alone, pre-eclampsia requires induction of between 7,000 and 12,000 premature births annually and the condition is common to around 4% of pregnancies. The condition occurs at any time after mid-pregnancy, is symptomless for most of its course and is relentlessly progressive. Additionally, it is unpredictable.”

Professor Sargent’s work is supported by the Oxford Biomedical Research Centre, through funding from the Department of Health's NIHR and encompasses a range of candidate biomarkers. In addition to well-documented blood-based expressed proteins, are microparticles (100 – 1000nm) and exosomes (30-100nm). These are nanoscale vesicles released by the placenta and maternal blood and endothelial cells. Whilst high levels of these particles are observed to coincide with the onset of pre-eclampsia, their detection is a challenge.

Professor Sargent again: “Our aim is to count and size the microparticles and exosomes present in the mother’s blood. Ultracentrifugation fails to separate the smaller exosomes adequately as they have similar density to the background plasma. Neither can these exosomes be detected with flow cytometry, which is essentially limited to sizes greater than 500nm. NanoSight, however, can uniquely detect and then size these disparate populations rapidly and with particle-by-particle resolution.”

NanoSight’s CTO, Dr Bob Carr, comments, “These early outcomes are encouraging, but there is much work to do in improving this methodology. What is gratifying for NanoSight is to have a user present us with such an exciting new application opportunity previously unknown to us. This has come about through some lateral thought on the part of a third party, in this case Professor Peter Dobson at the University of Oxford’s Begbroke Science Park, who knew of Ian’s challenges and NanoSight’s detection capability.”

For more information about the principles of nanoparticle tracking analysis and how this is applied to many applications in both the biological and materials sciences, please visit www.nanosight.co.uk.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.