Cardiovascular disease (CVD) is the biggest killer among chronic diseases, claiming 17 million lives globally every year. Yet doctors can only attribute 50% of cardiovascular diseases to known risk factors.
Understanding the other risk factors would help doctors target their treatments more accurately, possibly helping to save more lives. A better understanding might also mean individuals could take a more focused effort to reduce their risk of developing a CVD condition.
Many of the risk factors for CVDs, like smoking, gender and low-density lipoprotein (LDL) cholesterol, are well known. But CVD is a complex condition, with very wide variations among the population. By gaining an increased understanding of the risk parameters, doctors would be in a better position to identify those more at risk of CVD.
Enter Multi-Knowledge, an EU-funded project that has developed an IT platform that can combine clinical, laboratory and metabolic information with high throughput genomic data about the same individual.
Other studies have combined genomic data with clinical data, but the Multi-Knowledge team did that exercise on a much larger scale, says Dr. Zohar Yakhini, the project’s technical coordinator.
“People normally collect clinical data that they are interested in, while we have just collected data from a cohort that consists of mostly nominally healthy people,” Yakhini says. “The clinical data that we are working with is much richer than we have seen in the past, that is a novelty of the project.”
By combining information in this way, doctors and researchers will be able to analyse the correlation between the gene expression profile in the blood of an individual and their risk of developing CVD.
“We find pre-clinical conditions to be associated to certain genomic signatures in this population,” he says. “This means that disease processes that start early might already manifest themselves in the genomic data.”
For example, doctors could use the information to identify blood gene expression signatures that link smoking and CVD in some patients, and cholesterol and CVD in others.
If achieved, this level of understanding would provide a powerful tool in preventative medical care. Simple lifestyle changes could reduce an individual patient’s risk of developing a cardiovascular disease to almost zero.How it works
Gene and protein expression analysis is a very data intensive application. Gene expression occurs when information encoded in DNA gets converted into structures present and operating in a cell. These are the mRNA molecules.
Expression profiling of those molecules, using microarrays, produces very large quantities of information that can be difficult for non-specialists to analyse.
The Multi-Knowledge team developed a data collection system and the protocols to combine the data with additional information collected in a distributed set-up. In this respect the project will have an important influence on emerging standards for heterogeneous medical data collection.
The data, which can come from many sources and take many forms, is stored in a data repository that houses both raw information as well as analysis results. All participants in the study can access data and use the analysis tools that are part of the system. The data analysis tools allow users to connect the repository with external databases and annotations.
After all this work in the background, the information is presented to users via a portal. The platform is an elegant approach to combining various forms of medical data, but its relevance to the clinic depends on its usefulness.Testing times
The system passed with flying colours. There was a clear over expression of genes that provoke an inflammatory response in those patients who smoked. The team also identified distinct inflammatory expression genetic signatures for smoking and for other risk factors, such as high LDL cholesterol.
The project, which received funding from the EU's Sixth Framework Programme for research, finishes at the end of June 2008. Team members currently continue to work on various elements of the system.
“Not all elements of the system are integrated together, so we are working on that,” says Yakhini. “Other elements of the system have already been deployed in several sites, like the data analysis tool.”
Ultimately the developments will influence the various new approaches to medical information taken by the consortium partners.
“From a commercial perspective, we are not necessarily going to develop a full commercial system,” says Yakhini. “It will likely be the case that respective partners will take pieces of this work and incorporate it into other products that they already have. From an industry standpoint this is also a favourable result.
“But I think many of the consortium partners will continue to work together after the lifetime of the project, finding more pieces in the puzzle that will ultimately yield effective diagnoses tools combining clinical and genomic analysis.”
And then the final impact will be lives saved through better prevention of cardiovascular disease.
Cardiovascular disease is the number one cause of death globally. An estimated 17.5 million people died from cardiovascular disease in 2005, representing 30% of all deaths, according to the World Health Organisation (WHO). Of these deaths, 7.6 million were due to heart attacks and 5.7 million were due to stroke.
By comparison diabetes is responsible for the deaths of one million people.
Cardiovascular disease is caused by disorders of the heart and blood vessels, and includes coronary heart disease (heart attacks), cerebrovascular disease (stroke), raised blood pressure (hypertension), peripheral artery disease, rheumatic heart disease, congenital heart disease and heart failure.
The major causes of cardiovascular disease are tobacco use, physical inactivity, and an unhealthy diet, WHO says.
Note for the media: This feature can be republished without charge provided ICT Results is acknowledged as the source at the top or the bottom of the story. You must request permission before you use any of the photographs on the site. If you do republish, we would be grateful if you could let us know so as to help us provide you with a better service. If you want further information on any of the projects cited in this story please contact us at email@example.com.
Christian Nielsen | alfa
The birth of a new protein
20.10.2017 | University of Arizona
Building New Moss Factories
20.10.2017 | Albert-Ludwigs-Universität Freiburg im Breisgau
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
Scientists from the Max Planck Institute of Quantum Optics, using high precision laser spectroscopy of atomic hydrogen, confirm the surprisingly small value of the proton radius determined from muonic hydrogen.
It was one of the breakthroughs of the year 2010: Laser spectroscopy of muonic hydrogen resulted in a value for the proton charge radius that was significantly...
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research