Fat and Bone Mass are Genetically Linked, Scientists Say

Scientists at Tel Aviv University, Israel, and Tulane University in New Orleans have discovered a clear genetic link between fat and bone mass.

Scientists at Tel Aviv University, Israel, and Tulane University in New Orleans say obesity and osteoporosis should not be treated separately (University of Massachusetts Lowell)

Scientists at Tel Aviv University, Israel, and Tulane University in New Orleans say obesity and osteoporosis should not be treated separately (University of Massachusetts Lowell)

“When a patient is prescribed a medication, it is always important to know the potential side effects,” explained Prof Gregory Livshits of Tel Aviv University, senior author of a paper reporting the discovery in the journal Bone .

“As a result of this genetic connection, a medication that is prescribed to treat obesity might have a negative impact on skeletal health.”

When it comes to body shape, diet and exercise can only take us so far. Our body shape and geometry are largely determined by genetic factors. Genetics also have an impact on our body composition – including soft fat tissue and hard bone tissue – and can lead to excess fat or osteoporosis.

Previous studies revealed that osteocalcin, a protein produced by bone cells, has an impact not only on bone but also on fat tissue metabolism. Osteocalcin’s function is associated with bone formation and bone mineralization. But recent data suggest that osteocalcin is also involved in the regulation of glucose and fat metabolism and that osteocalcin levels are lower in obese and overweight individuals.

The researchers aimed to determine the underlying mechanism of this osteocalcin link – whether it was purely environmental or had a genetic basis. They conducted the study on a European population called the Chuvasha – descendants of Bulgarian tribes that have lived along the Volga River for more than a thousand years. As a relatively isolated and ethnically homogeneous population, they are highly appropriate for the study of genetic effects.

1,112 participants over the age of 20 from 230 families were tested for variants in the osteocalcin gene. Genetic information was analyzed in connection with measurements that reflect body mass, including Body Mass Index (BMI), thickness of skin folds, reflecting the amount of fat beneath the skin and others.

“We discovered a statistically significant association between osteocalcin gene variants and measures of body mass, suggesting the involvement of this gene in body mass regulation,” Prof Livshits said.

To check the reliability of the findings, the team tested the same association between genetic variants of the osteocalcin gene and body mass measurements in an extensive sample of 2,244 Americans of European background. The results revealed a very similar pattern.

“Because the connection between fat and bone mass has been shown to be genetic rather than environmental, related issues can’t be addressed separately,” Prof Livshits said.

“Bisphosphonates, for example, are effective agents for the treatment of bone mineral density loss and are therefore commonly used to treat osteoporosis. However, it is also important to know how this therapy impacts fat tissue. After a few years of treatment that improves the bones, we don’t want to discover that we have harmed the fat tissue in the process.”

“In parallel studies, the researchers are also investigating the FTO (fat mass and obesity-associated) gene, which has been shown to impact fat and lean body mass and is suspected to impact bone mineral density too. Their future research will explore the extent to which osteocalcin, FTO, and several other genes impact muscle mass in addition to fat and bone mass. It is important to understand the extent to which these genes contribute to interdependence of all major body composition components,” Prof Livshits concluded.

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Bibliographic information: Michael Korostishevsky et al. 2012. Significant association between body composition phenotypes and the osteocalcin genomic region in normative human population. Bone, volume 51, issue 4 , pp. 688-694; doi: 10.1016/j.bone.2012.07.010

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