News

AddToAny

Google+ Facebook Twitter Twitter

Predicting obesity-related disease

Scientists have found a new way to use molecular “signatures” from people with obesity to predict risk of developing diabetes and cardiovascular disease.

The research, led by Amalio Telenti at Scripps Research, shows that predictors of future diabetes and cardiovascular disease for a person with obesity can be found among their body’s metabolites – molecules that we produce as we live, breathe and eat.

Using cutting edge technologies, the scientists were able to assess the relationship between disease risk and the “metabolome” – a person’s collection of hundreds of metabolites, identifying specific signatures that predicted higher risk, according to results published in Cell Metabolism.

The researchers found 49 metabolites with a strong association to body mass index – an indicator of obesity. By looking at these metabolite levels, scientists could predict a person’s obesity status with an 80% to 90% accuracy rate.

 

Image credit | Shutterstock 

Related Articles

Hens that lay human proteins in eggs offer future therapy hope

Chickens that are genetically modified to produce human proteins in their eggs can offer a cost-effective method of producing certain types of drugs, research suggests.

NHS to launch paid-for genomics tests

Healthy people in England will be able to pay the NHS to sequence their genes, on condition they share their data.

Biomarker for genome instability

Elevated levels of a protein called ubiquilin-4 can be a biomarker for genome instability, a Tel Aviv University study shows.

Combining optical, ultrasound technology

Researchers are developing a novel biomedical imaging system that combines optical and ultrasound technology to improve diagnosis of life-threatening diseases.

Top