17 May 2011

‘Master switch’ gene for obesity

Scientists have found that a gene linked to diabetes and cholesterol is a "master switch" that controls other genes found in fat in the body.


Scientists have found that a gene linked to diabetes and cholesterol is a "master switch" that controls other genes found in fat in the body, and that say it should help in the search for treatments for obesity-related diseases.

In a report in Nature Genetics, the British researchers said that since fat plays an important role in peoples' susceptibility to metabolic diseases like obesity, heart disease and diabetes, the regulating gene could be target for drugs to treat such illnesses.

"This is the first major study that shows how small changes in one master regulator gene can cause a cascade of other metabolic effects in other genes," said Tim Spector of King's College London, who led the study.

Scientists have already identified a gene called KLF14 as being linked to type 2 diabetes and cholesterol levels, but until now they did know what role it played.

The study

Spector's team analysed more than 20,000 genes in fat samples taken from under the skin of 800 British female twin volunteers. They found a link between the KLF14 gene and the levels of many other distant genes found in fat tissue, showing that KLF14 acts as a master switch to control these genes.

They then confirmed their findings in 600 fat samples from a separate group of people from Iceland.

In a report of their study, the researchers explained that other genes found to be controlled by KLF14 are linked to a range of metabolic traits, including body mass index, obesity, cholesterol, insulin and glucose levels.

"KLF14 seems to act as a master switch controlling processes that connect changes in the behaviour of subcutaneous fat to disturbances in muscle and liver that contribute to diabetes and other conditions," said Mark McCarthy from Britain's Oxford University, who also worked on the study.

"We are working hard to understand these processes and how we can use this information to improve treatment of these conditions."

(Reuters Health, May 2011)

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