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High levels of body fat associated with differences in brain’s form and structure: Study

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The findings add important information to understanding connection between obesity and negative health consequences such as dementia

Obesity represents one of the world’s most challenging public health problems. The global pandemic has led to a greater incidence of cardiovascular disease and type 2 diabetes. Previous studies have also tied obesity to an increased risk of accelerated cognitive decline and dementia, suggesting that the disease causes changes to the brain.

To learn more about these changes, the researchers analysed brain imaging results from more than 12,000 participants in the UK Biobank study, a major trial begun in 2006 to learn more about the genetic and environmental factors that influence disease. The brain scans used sophisticated MRI techniques that provided information on both the neuron-rich gray matter and the white matter, often referred to as the wiring of the brain.

The results show some clear associations in the patients between body fat percentage and brain form and structure, also known as its morphology.

“MRI has shown to be an irreplaceable tool for understanding the link between neuroanatomical differences of the brain and behaviour,” said study lead author Dr Ilona A Dekkers, Leiden University Medical Center, Leiden, the Netherlands. “Our study shows that very large data collection of MRI data can lead to improved insight into exactly which brain structures are involved in all sorts of health outcomes, such as obesity.”

“We found that having higher levels of fat distributed over the body is associated with smaller volumes of important structures of the brain, including gray matter structures that are located in the centre of the brain,” said Dr Dekkers. “Interestingly, we observed that these associations are different for men and women, suggesting that gender is an important modifier of the link between fat percentage and the size of specific brain structures.”

Analysis showed that, in men, higher total body fat percentage correlated with lower gray matter volume overall and in specific structures involved in the reward circuitry and the movement system. In women, total body fat only showed a significant negative association with the globus pallidus, a structure involved in voluntary movement. For both men and women, higher total body fat percentage increased the likelihood of microscopic changes to the brain’s white matter.

The ramifications of these findings, not yet fully clear, could be of significant importance. Smaller gray matter volume suggests loss of neurons, and changes to the white matter could adversely affect the transmission of signals within brain networks. Since the smaller subcortical gray matter volumes are also known to play a role in the food-reward circuitry, these changes may also make it more difficult for obese people to control their weight, said Dr Dekkers , although more research will be needed to support that connection.

The reason for obesity’s adverse effects on the brain are not precisely known. Research has shown that the low-grade inflammation characteristic of obesity can have harmful effects on brain tissue. There is evidence that cellular responses produced in the brain due to inflammation may be behind these effects.

The study looked at overall body fat percentage and did not distinguish between the different types of fat in the body, which Dr Dekkers said may be an area for additional research. Of particular interest is the visceral white fat found around the abdominal organs. This type of fat, also known as belly fat, is part of metabolic syndrome, a group of factors that increase the risk of cardiovascular disease and diabetes.

“For future research, it would be of great interest whether differences in body fat distribution are related to differences in brain morphological structure, as visceral fat is a known risk factor for metabolic disease and is linked to systemic low-grade inflammation,” said the study’s senior author, Hildo Lamb, Director of the Cardio Vascular Imaging Group, Leiden University Medical Center.

Source: RSNA 

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