Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany.
Int J Obes (Lond). 2021 Mar;45(3):491-501. doi: 10.1038/s41366-020-00702-4. Epub 2020 Oct 25.
Obesity is of complex origin, involving genetic and neurobehavioral factors. Genetic polymorphisms may increase the risk for developing obesity by modulating dopamine-dependent behaviors, such as reward processing. Yet, few studies have investigated the association of obesity, related genetic variants, and structural connectivity of the dopaminergic reward network.
We analyzed 347 participants (age range: 20-59 years, BMI range: 17-38 kg/m) of the LIFE-Adult Study. Genotyping for the single nucleotid polymorphisms rs1558902 (FTO) and rs1800497 (near dopamine D2 receptor) was performed on a microarray. Structural connectivity of the reward network was derived from diffusion-weighted magnetic resonance imaging at 3 T using deterministic tractography of Freesurfer-derived regions of interest. Using graph metrics, we extracted summary measures of clustering coefficient and connectivity strength between frontal and striatal brain regions. We used linear models to test the association of BMI, risk alleles of both variants, and reward network connectivity.
Higher BMI was significantly associated with lower connectivity strength for number of streamlines (β = -0.0025, 95%-C.I.: [-0.004, -0.0008], p = 0.0042), and, to lesser degree, fractional anisotropy (β = -0.0009, 95%-C.I. [-0.0016, -0.00008], p = 0.031), but not clustering coefficient. Strongest associations were found for left putamen, right accumbens, and right lateral orbitofrontal cortex. As expected, the polymorphism rs1558902 in FTO was associated with higher BMI (F = 6.9, p < 0.001). None of the genetic variants was associated with reward network structural connectivity.
Here, we provide evidence that higher BMI correlates with lower reward network structural connectivity. This result is in line with previous findings of obesity-related decline in white matter microstructure. We did not observe an association of variants in FTO or near DRD2 receptor with reward network structural connectivity in this population-based cohort with a wide range of BMI and age. Future research should further investigate the link between genetics, obesity and fronto-striatal structural connectivity.
肥胖是一种复杂的起源,涉及遗传和神经行为因素。遗传多态性可能通过调节多巴胺依赖的行为(如奖励处理)增加肥胖的风险。然而,很少有研究调查肥胖、相关遗传变异体和多巴胺奖赏网络结构连接之间的关联。
我们分析了 LIFE-Adult 研究中的 347 名参与者(年龄范围:20-59 岁,BMI 范围:17-38kg/m)。使用微阵列对单核苷酸多态性 rs1558902(FTO)和 rs1800497(靠近多巴胺 D2 受体)进行基因分型。使用 3T 磁共振成像的扩散加权成像,通过 Freesurfer 衍生的感兴趣区的确定性轨迹追踪,得出奖赏网络的结构连接。使用图度量法,我们提取了额纹和纹状体脑区之间聚类系数和连接强度的综合指标。我们使用线性模型来测试 BMI、两种变体的风险等位基因和奖赏网络连接之间的关联。
较高的 BMI 与线数的连接强度显著降低(β=-0.0025,95%CI:[-0.004,-0.0008],p=0.0042),并且在一定程度上与各向异性分数降低有关(β=-0.0009,95%CI:[-0.0016,-0.00008],p=0.031),但与聚类系数无关。最强的关联是在左侧壳核、右侧伏隔核和右侧外侧眶额皮层中发现的。如预期的那样,FTO 中的 rs1558902 多态性与较高的 BMI 相关(F=6.9,p<0.001)。在这个基于人群的 BMI 和年龄范围广泛的队列中,没有观察到 FTO 或靠近 DRD2 受体的遗传变异与奖赏网络结构连接之间的关联。
在这里,我们提供了证据表明,较高的 BMI 与奖赏网络结构连接的降低相关。这一结果与肥胖相关的白质微观结构下降的先前发现一致。在这个基于人群的 BMI 和年龄范围广泛的队列中,我们没有观察到 FTO 或靠近 DRD2 受体的变异与奖赏网络结构连接之间的关联。未来的研究应进一步探讨遗传学、肥胖和额纹-纹状体结构连接之间的联系。