Amen Clinics, Inc., Costa Mesa, CA, USA.
UC Irvine, Irvine, CA, USA.
J Alzheimers Dis. 2020;77(3):1331-1337. doi: 10.3233/JAD-200655.
While obesity has been shown to be a risk factor for Alzheimer's disease, the potential mechanisms underlying this risk may be clarified with better understanding of underlying physiology in obese persons.
To identify patterns of cerebral perfusion abnormality in adults as a function of body mass index (BMI) defined weight categories, including overweight or obese status.
A large psychiatric cohort of 35,442 brain scans across 17,721 adults (mean age 40.8±16.2 years, range 18-94 years) were imaged with SPECT during baseline and concentration scans, the latter done after each participant completed the Connors Continuous Performance Test II. ANOVA was done to identify patterns of perfusion abnormality in this cohort across BMI designations of underweight (BMI < 18.5), normal weight (BMI = 18.5 to 24.9), overweight (BMI 24.9 to 29.9), obesity (BMI≥30), and morbid obesity (BMI≥40). This analysis was done for 128 brain regions quantifying SPECT perfusion using the automated anatomical labeling (AAL) atlas.
Across adulthood, higher BMI correlated with decreased perfusion on both resting and concentration brain SPECT scans. These are seen in virtually all brain regions, including those influenced by AD pathology such as the hippocampus.
Greater BMI is associated with cerebral perfusion decreases in both resting and concentration SPECT scans across adulthood.
肥胖已被证实是阿尔茨海默病的一个风险因素，但通过更好地了解肥胖人群的潜在生理机制，可能会阐明这种风险的潜在机制。
确定成年人的脑灌注异常模式与体重指数（BMI）定义的体重类别之间的关系，包括超重或肥胖状态。
对 17721 名成年人（平均年龄 40.8±16.2 岁，年龄范围 18-94 岁）进行了一项大型精神科队列研究，在基线和浓度扫描期间使用 SPECT 进行了 35442 次脑部扫描，后者在每个参与者完成 Connors 连续性能测试 II 后进行。通过方差分析（ANOVA）来确定在该队列中，根据 BMI 的不同分类（体重不足[BMI<18.5]、正常体重[BMI=18.5-24.9]、超重[BMI 24.9-29.9]、肥胖[BMI≥30]和病态肥胖[BMI≥40]），脑灌注异常的模式。对 128 个大脑区域进行了分析，使用自动解剖标记（AAL）图谱来量化 SPECT 灌注。
在整个成年期，较高的 BMI 与静息和浓度脑 SPECT 扫描时的灌注减少相关。这些在几乎所有大脑区域都可以看到，包括受 AD 病理影响的区域，如海马体。
在整个成年期，更高的 BMI 与静息和浓度 SPECT 扫描时的脑灌注减少有关。
