Investigating what causes plaque built-up in the blood vessels to break down and form clots, which can cause heart attacks or stroke, to develop new ways to treat coronary heart disease.
Aetiology
Coronary heart disease (CHD) is a leading cause of death and disability worldwide. It can be caused by fat building up in blood vessels, so-called “plaque”. Plaques can narrow and harden the blood vessels and reduce blood and oxygen flow to major organs causing damage. Plaques can also break off, causing blood clots, or become unstable and burst. The broken pieces, “clots”, block blood vessels and prevent blood flow. If this occurs in a coronary artery (a blood vessel that provides blood and oxygen to the heart) this can cause a heart attack and potentially death.
There are a number of drug treatments that are used to stop plaques from forming but they do not work for everybody. It has recently been discovered that high levels of a “sticky” protein called lipoprotein(a) (commonly called Lp(a)) in the blood strongly predict the likelihood of plaques becoming unstable. Whether or not someone has high levels of Lp(a) is determined by their genes, rather than diet or other lifestyle factors.
Professor Andrew and her team at the University of Edinburgh will investigate how high Lp(a) levels in blood contribute to plaque instability by studying plaques taken from patients during surgery. Using a technology called “mass spectrometry imaging”, they will map how Lp(a) is distributed in plaques and find out what damage it causes. For example, areas of plaques with high Lp(a) in specific regions might be more likely to burst. The information gained will increase understanding about how certain molecules affect the plaque shape and structure. The team’s findings will potentially reveal more about Lp(a) and its link with plaque development, supporting clinicians to diagnose heart disease by working out better ways to screen at-risk patients and treat them earlier.
This will mean that coronary heart disease can be caught in patients before they know they have heart problems and slow or stop plaque building up. This will extend the period of life when individuals can benefit from good health and its life benefits. This information will also help pharmaceutical companies both design more effective drugs for lowering Lp(a) and understand which patients respond best to treatments.
The development of a new AI-supported model for imaging the heart based on data from over 700 people with atrial fibrillation, allow ablation to be more personalised to individual patients.
A trial for every patient
Personalised angina care
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