ABSTRACT
We investigated five methylation markers recently linked to body mass index, for their role in the neuropathology of obesity. In neuroimaging experiments, our analysis involving 23 participants showed that methylation levels for the cg07814318 site, which lies within the KLF13 gene, correlated with brain activity in the claustrum, putamen, cingulate gyrus and frontal gyri, some of which have been previously associated to food signaling, obesity or reward. Methylation levels at cg07814318 also positively correlated with ghrelin levels. Moreover, expression of KLF13 was augmented in the brains of obese and starved mice. Our results suggest the cg07814318 site could be involved in orexigenic processes, and also implicate KLF13 in obesity. Our findings are the first to associate methylation levels in blood with brain activity in obesity-related regions, and further support previous findings between ghrelin, brain activity and genetic differences.
Subject(s)
Cell Cycle Proteins/genetics , DNA Methylation , Ghrelin/metabolism , Kruppel-Like Transcription Factors/genetics , Neurons/metabolism , Obesity/genetics , Obesity/metabolism , Orexins/metabolism , Repressor Proteins/genetics , Animals , Appetite Regulation , Brain/cytology , Brain/diagnostic imaging , Brain/metabolism , Cell Cycle Proteins/metabolism , Feeding Behavior/physiology , Functional Neuroimaging , Gene Expression Regulation , Humans , Kruppel-Like Transcription Factors/metabolism , Male , Mice , Obesity/physiopathology , Receptors, Ghrelin/metabolism , Repressor Proteins/metabolism , RewardABSTRACT
BACKGROUND: In response to food cues, obese vs normal-weight individuals show greater activation in brain regions involved in the regulation of food intake under both fasted and sated conditions. Putative effects of obesity on task-independent low-frequency blood-oxygenation-level-dependent signals-that is, resting-state brain activity-in the context of food intake are, however, less well studied. OBJECTIVE: To compare eyes closed, whole-brain low-frequency BOLD signals between severely obese and normal-weight females, as assessed by functional magnetic resonance imaging (fMRI). METHODS: Fractional amplitude of low-frequency fluctuations were measured in the morning following an overnight fast in 17 obese (age: 39±11 years, body mass index (BMI): 42.3±4.8 kg m-2) and 12 normal-weight females (age: 36±12 years, BMI: 22.7±1.8 kg m-2), both before and 30 min after consumption of a standardized meal (~260 kcal). RESULTS: Compared with normal-weight controls, obese females had increased low-frequency activity in clusters located in the putamen, claustrum and insula (P<0.05). This group difference was not altered by food intake. Self-reported hunger dropped and plasma glucose concentrations increased after food intake (P<0.05); however, these changes did not differ between the BMI groups. CONCLUSION: Reward-related brain regions are more active under resting-state conditions in obese than in normal-weight females. This difference was independent of food intake under the experimental settings applied in the current study. Future studies involving males and females, as well as utilizing repeated post-prandial resting-state fMRI scans and various types of meals are needed to further investigate how food intake alters resting-state brain activity in obese humans.
